Nilo-Saharan component

Scientific Reports 5, Article number: 9996 doi:10.1038/srep09996

The genetics of East African populations: a Nilo-Saharan component in the African genetic landscape

Begoña Dobon et al.

East Africa is a strategic region to study human genetic diversity due to the presence of ethnically, linguistically, and geographically diverse populations. Here, we provide new insight into the genetic history of populations living in the Sudanese region of East Africa by analysing nine ethnic groups belonging to three African linguistic families: Niger-Kordofanian, Nilo-Saharan and Afro-Asiatic. A total of 500 individuals were genotyped for 200,000 single-nucleotide polymorphisms. Principal component analysis, clustering analysis using ADMIXTURE, FST statistics, and the three-population test were used to investigate the underlying genetic structure and ancestry of the different ethno-linguistic groups. Our analyses revealed a genetic component for Sudanese Nilo-Saharan speaking groups (Darfurians and part of Nuba populations) related to Nilotes of South Sudan, but not to other Sudanese populations or other sub-Saharan populations. Populations inhabiting the North of the region showed close genetic affinities with North Africa, with a component that could be remnant of North Africans before the migrations of Arabs from Arabia. In addition, we found very low genetic distances between populations in genes important for anti-malarial and anti-bacterial host defence, suggesting similar selective pressures on these genes and stressing the importance of considering functional pathways to understand the evolutionary history of populations.

Link

Haplogroup E and Afroasiatic

This is an open access article.

European Journal of Human Genetics advance online publication 26 March 2014; doi: 10.1038/ejhg.2014.41

Y-chromosome E haplogroups: their distribution and implication to the origin of Afro-Asiatic languages and pastoralism

Eyoab I Gebremeskel and Muntaser E Ibrahim

Archeological and paleontological evidences point to East Africa as the likely area of early evolution of modern humans. Genetic studies also indicate that populations from the region often contain, but not exclusively, representatives of the more basal clades of mitochondrial and Y-chromosome phylogenies. Most Y-chromosome haplogroup diversity in Africa, however, is present within macrohaplogroup E that seem to have appeared 21 000–32 000 YBP somewhere between the Red Sea and Lake Chad. The combined analysis of 17 bi-allelic markers in 1214 Y chromosomes together with cultural background of 49 populations displayed in various metrics: network, multidimensional scaling, principal component analysis and neighbor-joining plots, indicate a major contribution of East African populations to the foundation of the macrohaplogroup, suggesting a diversification that predates the appearance of some cultural traits and the subsequent expansion that is more associated with the cultural and linguistic diversity witnessed today. The proto-Afro-Asiatic group carrying the E-P2 mutation may have appeared at this point in time and subsequently gave rise to the different major population groups including current speakers of the Afro-Asiatic languages and pastoralist populations.

Link

mtDNA variation in East Africa (Boattini et al. 2013)

From the paper:

Language diversity in EA fits well with its complicated genetic history. In Fleming words, ‘‘Ethiopia by itself has more languages than all of Europe, even counting all the so-called dialects of the Romance family’’ (Fleming, 2006). All African linguistic phyla are found in EA: Afro-Asiatic (AA), Nilo-Saharan, Niger-Congo and Khoisan (however, the genealogical unit of Khoisan is no longer generally accepted). Among them, AA is the most differentiated, being represented by three (Omotic, Cushitic, Semitic) of its six major clades (the others being Chadic, Berber and Egyptian). Omotic and Cushitic are considered the deepest clades of AA, and both are found almost exclusively in the Horn of Africa, along with the linguistic relict Ongota that is traditionally assigned to the Cushitic family but whose classification is still widely debated (Fleming, 2006). These observations are in agreement with a North-Eastern African origin of the AA languages, most probably in pre-Neolithic times (Ehret, 1979, 1995; Kitchen et al., 2009).

and:

This study confirms the central role of EA and the Horn of Africa in the genetic and linguistic history of a wide area spanning from Central and Northern Africa to the Levant. Our results confirm high mtDNA diversity and strong genetic structuring in EA. We were indeed able to identify three population clusters (A, B1, B2) that are related both to geography and linguistics, and signaling different population events in the history of the region. The Horn of Africa (cluster A), in accordance with its role as a major gateway between sub-Saharan Africa and the Levant, shows widespread contacts with populations from CA (AA-Chadic speakers), the Arabian peninsula and the Nile Valley. Southwards, Kenya, and Tanzania (clusters B1 and B2), despite being both heavily involved in Bantu and Nilo-Saharan pastoralist expansions, reveal traces of a more ancient genetic stratum associated with Cushitic-speaking groups (cluster B2). Conversely, Berber- and Semitic-speaking populations of NA and the Levant show only marginal traces of admixture with sub-Saharan groups, as well as a different mtDNA genetic background, making the hypothesis of a Levantine origin of AA unlikely. In conclusion, EA genetic structure configures itself as a complicated palimpsest in which more ancient strata (AA-Cushiticspeaking groups) are largely overridden by recent different migration events. Further explorations of AA-Cushitic- speaking populations – both in terms of sampled groups and typed genetic markers – will be of great importance for the reconstruction of the genetic history of EA and AA-speakers. 

The African origin of Afroasiatic would agree with its linguistic separateness from Eurasian languages, and the fact that a single branch of the family (Semitic) is likely to have originated in Asia, and fairly recently at that.

Related:

• Disentangling the histories of mtDNA haplogroups M1 and U6
• Ethiopian origins (Pagani et al. 2012)
• mtDNA and ethnic differentiation in East Africa

Am J Phys Anthropol DOI: 10.1002/ajpa.22212

mtDNA variation in East Africa unravels the history of afro-asiatic groups

Alessio Boattini et al.

East Africa (EA) has witnessed pivotal steps in the history of human evolution. Due to its high environmental and cultural variability, and to the long-term human presence there, the genetic structure of modern EA populations is one of the most complicated puzzles in human diversity worldwide. Similarly, the widespread Afro-Asiatic (AA) linguistic phylum reaches its highest levels of internal differentiation in EA. To disentangle this complex ethno-linguistic pattern, we studied mtDNA variability in 1,671 individuals (452 of which were newly typed) from 30 EA populations and compared our data with those from 40 populations (2970 individuals) from Central and Northern Africa and the Levant, affiliated to the AA phylum. The genetic structure of the studied populations—explored using spatial Principal Component Analysis and Model-based clustering—turned out to be composed of four clusters, each with different geographic distribution and/or linguistic affiliation, and signaling different population events in the history of the region. One cluster is widespread in Ethiopia, where it is associated with different AA-speaking populations, and shows shared ancestry with Semitic-speaking groups from Yemen and Egypt and AA-Chadic-speaking groups from Central Africa. Two clusters included populations from Southern Ethiopia, Kenya and Tanzania. Despite high and recent gene-flow (Bantu, Nilo-Saharan pastoralists), one of them is associated with a more ancient AA-Cushitic stratum. Most North-African and Levantine populations (AA-Berber, AA-Semitic) were grouped in a fourth and more differentiated cluster. We therefore conclude that EA genetic variability, although heavily influenced by migration processes, conserves traces of more ancient strata.

Link

Disentangling the histories of mtDNA haplogroups M1 and U6

mtDNA haplogroups M1 and U6 are often mentioned in terms of Eurasian back-migration in Africa. The former is the only clade of the Asian haplogroup M which occurs in Africa at all; the latter is the only clade of the West Eurasian haplogroup U that does the same. These haplogroups also tend to co-exist in North and East Africa, although they are largely absent in sub-Saharan Africa. Different ideas have been offered for their occurrence, including a "Paleolithic" spread or a more recent one associated with the spread of Afroasiatic languages.

The new paper offers useful new data on this debate. The most important conclusion is that despite their oft-mentioned association, these two haplogroups appear to have distinct histories. One argument for this is their separate geographic distribution:

M1 (on panel A) is much more common in Northeast Africa and the Near East (including the Caucasus), whereas U6 (panel B) is more confined in Africa, and has its stronger peak in NW Africa, being rare in NE Africa.

An interesting aside, is that all the mysterious M1 from the Caucasus belongs to subclade M1a, while the smaller M1b clade tends to co-occur with M1a in other parts of Africa and the Near East. This indicates a founder effect for the origin of Caucasian M1a, but leaves open the issue of the immediate origins of M1. Hopefully it will become possible to place this haplogroup within the broader M phylogeny in the future.

The Bayesian skyline plots also contrast M1 and U6 in terms of their demographic histories:

The authors argue that these histories are inconsistent with either a very early dispersal history with the Dabban industry, as well as a more recent spread with Afroasiatic. From the paper:

The transition from the Middle Palaeolithic to Upper Palaeolithic in North Africa is characterised by the appearance of the “Dabban”, an industry that is restricted to Cyrenaica in northeast Libya and represented at the caves of Hagfet ed Dabba and Haua Fteah [19]. Whilst a techno-typological shift occurred within the Dabban ~33 KYA [19], starker changes in the archaeological record occurred throughout North Africa and Southwest Asia ~23-20 KYA, represented by the widespread appearance of backed bladelet technologies. The appearance of these backed bladelet industries more or less coincides with the timing of the Last Glacial Maximum (LGM) (~23-18 KYA), including: ~21 KYA in Upper Egypt [20]; ~20 KYA at Haua Fteah with the Oranian [21]; the Iberomaurusian expansion in the Jebel Gharbi ~20 KYA [22]; and the first Iberomaurusian at Tamar Hat in Algeria ~20 KYA [23]. The earliest Iberomaurusian sites in Morocco appear to be only slightly younger ~18 KYA [24].

A disassociation of these haplogroups from the UP in North Africa might be consistent with my idea that the UP was in part a cultural revolution that spread not only with people, but often with ideas across a species that already had the "biological machinery" for behavioral modernity and was already established in both Africa and the Near East.

As for the connection to Afroasiatic, the authors detect a linguistic correlation with M1a, which, however, appears too old to have been involved directly in the spread of this language family:

Concerning haplogroup M1 individually, a significant correlation with languages was observed. Furthermore, within M1, it appears that the correlation is mostly due to M1a. However, given the small sample size of M1b, any potential signal correlating with language might not be detectable. Interestingly, M1a has a likely East African origin, but its coalescent age of ~21 KYA still largely predates that of the proto-AA. Maybe a sub-clade of M1a would still give a similar correlation, but there are not sufficient samples to allow splitting M1a into its various sub-clades, and to test for a correlation. Although we found a correlation, limited sample sizes do not allow drawing unambiguous connection between genes and languages. Furthermore, it is also possible that this putative sub-clade of M1 does not testify for the expansion of AA speaking people, but was already present among the people who inhabited the area before the spread of the AA languages.

Personally, I am in favor of an East African origin of Afroasiatic, as this makes sense of various lines of evidence, one of which is the African shift of the "Southwest_Asian" component that is modal in Semitic populations. I envision that M1 was geographically circumscribed in a NE African population after its much earlier arrival from Asia and piggy-backed onto the expansion of Afroasiatic speakers, thus explaining the observed correlation. A good analogy would be with the expansion of, say, haplogroup H in the Americas which piggybacked on the European colonization, even though the coalescence age of H predates the arrival of Europeans in the New World by many millennia.

BMC Evolutionary Biology 2012, 12:234 doi:10.1186/1471-2148-12-234


Divorcing the Late Upper Palaeolithic demographic histories of mtDNA haplogroups M1 and U6 in Africa

Erwan Pennarun et al.

Abstract (provisional)
Background
A Southwest Asian origin and dispersal to North Africa in the Early Upper Palaeolithic era has been inferred in previous studies for mtDNA haplogroups M1 and U6. Both haplogroups have been proposed to show similar geographic patterns and shared demographic histories.

Results
We report here 24 M1 and 33 U6 new complete mtDNA sequences that allow us to refine the existing phylogeny of these haplogroups. The resulting phylogenetic information was used to genotype a further 131 M1 and 91 U6 samples to determine the geographic spread of their sub-clades. No southwest Asian specific clades for M1 or U6 were discovered. U6 and M1 frequencies in North Africa, the Middle East and Europe do not follow similar patterns, and their sub-clade divisions do not appear to be compatible with their shared history reaching back to the Early Upper Palaeolithic. The Bayesian Skyline Plots testify to non-overlapping phases of expansion, and the haplogroups' phylogenies suggest that there are U6 sub-clades that expanded earlier than those in M1. Some M1 and U6 sub-clades could be linked with certain events. For example, U6a1 and M1b, with their coalescent ages of ~20,000-22,000 years ago and earliest inferred expansion in northwest Africa, could coincide with the flourishing of the Iberomaurusian industry, whilst U6b and M1b1 appeared at the time of the Capsian culture.

Conclusions
Our high-resolution phylogenetic dissection of both haplogroups and coalescent time assessments suggest that the extant main branching pattern of both haplogroups arose and diversified in the mid-later Upper Palaeolithic, with some sub-clades concomitantly with the expansion of the Iberomaurusian industry. Carriers of these maternal lineages have been later absorbed into and diversified further during the spread of Afro-Asiatic languages in North and East Africa.

Link

ALDER signal of admixture in Ashkenazi Jews

(You can skip the first part if you want, and head straight to the RESULTS section)

Previous studies on uniparental markers have indicated that Ashkenazi Jews (AJ) were formed by admixture between a Near Eastern population and European host populations; the evidence for the former element seems pretty clear on the basis of Y-chromosomes where Jews possess a relatively high frequency of Y-haplogroup J1 (and a few others) that are quite rare in non-Jewish north/east Europeans. As for the latter, it seems probable on the basis of the location of Ashkenazi Jews on PCA plots where they tend to occupy an intermediate position between extant populations of the Levant (including Near Eastern Jews) and non-Jewish Europeans.

Anyone who has played around with genetic data will know that while AJ may be positioned in the aforementioned "intermediate" location within the "West Eurasian continuum" between Europe and Near East, they tend to form their own cluster at higher dimensions. And, indeed, this is why it's fairly easy for a clustering algorithm, such as my "Clusters Galore" (MCLUST/MDS) approach to pick out a very specific AJ cluster (e.g., here, or here, using a fastIBD approach). An Ashkenazi Jewish-specific cluster also pops out at higher K in ADMIXTURE analyses. This cluster may reflect endogamy within the AJ community until quite recent times.

One way of detecting admixture in a group is through the use of f3-statistics. The statistic f3(AJ; European, Near_East) could be negative --which would indicate admixture-- but it is usually not -at least in the combinations of (European, Near_East) I've tried, and this is consistent with either the presence admixture or absence of admixture.

A simple and intuitive way to see why post-admixture drift might mask the presence of admixture can be seen by means of a simple calculation. Remember that the f3-statistic's +/- sign depends on the +/- sign of quantities (c-a)*(c-b) where c is an allele frequency in the admixed (?) population we are investigating, and a, b in the two reference populations. We can pick a to be less than b with no loss of generality.

In the absence of strong drift (e.g., if all populations have a very large number of individuals), then the allele frequency c=xa+(1-x)b where x is the amount of admixture --between 0 and 1-- from group A and (1-x) from group B, and this c will be maintained little changed in the post-admixture phase. With the aid of a little algebra, we get that:

(c-a)*(c-b) = (xa+(1-x)b-a)*(xa+(1-x)b-b)
= (xa+b-xb-a)*(xa+b-xb-b) =
= x(x-1)(a-b)^2

and this is of course negative because we assumed that x was less than 1.

In a large population, this c will remain near-constant, because of the lack of strong drift. As long as it remains within the interval (a,b), then (c-a)*(c-b) will also remain negative, and so will the f3 statistic.

But, what if strong drift affects the admixed population? Allele frequencies fluctuate more wildly in larger populations, so c might go outside the (a,b) interval. Without loss of generality, assume that c becomes greater than b in which case (c-a)*(c-b) will become positive.

The f3-statistic averages over many SNPs, so, depending on (i) the initial differentiation of the admixed populations, which could be seen as b-a, and (ii) the amount of drift, which causes c to jump outside the (a, b) interval as discussed above, it is possible that the evidence for admixture may disappear.

So, relying on allele frequency differences may help obliterate the signal of admixture. But, there is a different signal of admixture that uses the decay of admixture linkage-disequilibrium, most recently discussed in the ALDER paper. The admixture LD signal's evidence may also disappear in time, but only because the signal occurs at increasingly lower genetic distances over time due to recombination. Thankfully, it tends to occur at large enough --for the last few thousand years-- distances, for which the SNP density of existing genotyping platforms that measure a few hundred thousand SNPs per individual is sufficient.

METHODS

Naturally I was curious to see whether the admixture LD mechanism would produce the evidence of admixture that the f3-statistics did not. I combined three datasets in my possession (HGDP by Li et al. Behar et al. and Yunusbayev et al. ) and identified sets of European and Semitic populations. (Remember that these sets are non-exhaustive, but presumably usable surrogates for the true mixing populations exist within them):

Abhkasians_Y, Adygei, Belorussian, Bulgarians_Y, Chechens_Y, Chuvashs, French, French_Basque, Georgians, Hungarians, Lezgins, Lithuanians, Mordovians_Y, North_Italian, North_Ossetians_Y, Orcadian, Romanians, Russian, Sardinian, Spaniards, Tuscan, Ukranians_Y

and:

Bedouin, Druze, Egyptans, Ethiopian_Jews, Ethiopians, Iraq_Jews, Jordanians, Lebanese, Morocco_Jews, Palestinian, Saudis, Sephardic_Jews, Syrians, Yemenese, Yemen_Jews

I used my Dodecad Project sample of AJ which numbers 36 individuals and is larger than any other usable public sample available to me.

(ALDER was run with default parameters, using the Rutgets recombination map for Illumina chips, and with the merged dataset prepared with a --geno 0.03 flag. Note that the Ashkenazi_D sample consists of individuals typed on different Illumina platforms from 23andMe and FamilyTreeDNA. The total number of SNPs considered was 527,165.)

RESULTS

I report below the tests for which ALDER reported "success" for the test with no warnings:

The median of all these estimates is 36.78 generations or 1070 years which corresponds to a calendar date of 910CE, assuming the sample's birthday was 1980, and a generation length of 29 years.

Palamara et al. placed the beginning of demographic expansion of AJ in a similar timeframe (33 generations), following a severe founder effect reducing the population to ~270 individuals. Such a founder effect may have indeed served to produce positive f3-statistics, masking the presence of admixture, the occurrence of which appears to be substantiated on the basis of the ALDER test of admixture.

As for the levels of admixture, using a 1-ref analysis with the European populations, I get the following lower bounds:

I'd be interested in hearing people's opinions on the plausibility of these dates/proportions, as well as their potential historical associations; a lot of factors might affect these results, so perhaps this analysis could be improved in the future.

Structural stability and ancient connections between languages

From the press release:

Using a large database and many alternative methods Dediu and Levinson show that both positions are right: there are universal tendencies for some features to be more stable than others, but individual language families have their own distinctive profile. These distinctive profiles can then be used to probe ancient relations between what are today independent language families.  

"Using this technique we find for instance probable connections between the languages of the Americas and those of NE Eurasia, presumably dating back to the peopling of the Americas 12,000 years or more ago," Levinson explains. "We also find likely connections between most of the Eurasian language families, presumably pre-dating the split off of Indo-European around 9000 years ago."

From the paper:

Quite convincing is the evidence that Core Eurasian families (comprising Altaic – or Mongolic + Turkic –, Dravidian, Indo-European, Uralic and the Caucasian families) might form a group (p=0.0013, 5 methods, and , p=0.094, 4 methods, when controlling for geography).

The authors were also able to reject the "broad" Afroasiatic group "comprising Afro-Asiatic, Indo-European, Dravidian and Uralic". I think this makes some sense, since Afroasiatic is basically an African language family with a Near Eastern offshoot, so I did not expect it to group with the Eurasian language families.

The Core Eurasian group seems very interesting in light of accumulating evidence about contacts between human groups across Eurasia. Such a group is pushing the limits of what can be inferred using linguistic data, and, perhaps, archaeogenetics might provide some evidence that might be used to plausibly argue for such a relatively broad group.

PLoS ONE 7(9): e45198. doi:10.1371/journal.pone.0045198

Abstract Profiles of Structural Stability Point to Universal Tendencies, Family-Specific Factors, and Ancient Connections between Languages

Dan Dediu, Stephen C. Levinson

Language is the best example of a cultural evolutionary system, able to retain a phylogenetic signal over many thousands of years. The temporal stability (conservatism) of basic vocabulary is relatively well understood, but the stability of the structural properties of language (phonology, morphology, syntax) is still unclear. Here we report an extensive Bayesian phylogenetic investigation of the structural stability of numerous features across many language families and we introduce a novel method for analyzing the relationships between the “stability profiles” of language families. We found that there is a strong universal component across language families, suggesting the existence of universal linguistic, cognitive and genetic constraints. Against this background, however, each language family has a distinct stability profile, and these profiles cluster by geographic area and likely deep genealogical relationships. These stability profiles seem to show, for example, the ancient historical relationships between the Siberian and American language families, presumed to be separated by at least 12,000 years, and possible connections between the Eurasian families. We also found preliminary support for the punctuated evolution of structural features of language across families, types of features and geographic areas. Thus, such higher-level properties of language seen as an evolutionary system might allow the investigation of ancient connections between languages and shed light on the peopling of the world.

Link

Assessing East Africans of Pagani et al. (2012) using 'weac2'

Thanks to the publication of new data from Pagani et al. (2012), we now have 235 more individuals from East Africa, mainly Ethiopians, but also Somalis and South Sudanese with dense genotype data.

Naturally, I wanted to make sure that everything was in order, so I applied the 'weac2' calculator on the new data. Here are the normalized median admixture proportions:

I have also created population portraits for the 12 different populations, which appear to show rather homogeneous samples.

Here are the descriptions of the data from the original paper:

The populations sampled (numbers) were the Semitic-speaking Amhara (26) and Tigray (21); the Cushitic-speaking Oromo (21), Ethiopian Somali (17), and Afar (12); the Omotic-speaking Ari Cultivators (24), Ari Blacksmiths (17), and Wolayta (8); and the Nilotic-speaking Gumuz (19) and Anuak (23). In addition to these groups, we also generated South Sudanese data from mixed populations (24) and Somali data from Somali populations (23).

Newer versions of the Dodecad tools will of course take into account the new samples, which ought to  help better define the "East_African" component that often arises at higher levels of detail.

And, of course kudos to all researchers who make their data publicly available and hence provide genome bloggers such as myself with much appreciated "fuel" for their inquiries.

Ethiopian origins (Pagani et al. 2012)

The study attempts to answer four questions:

Our current study is motivated by four questions. First, where do the Ethiopians stand in the African genetic landscape? Second, what is the extent of recent gene flow from outside Africa into Ethiopia, when did it occur, and is there evidence of selection effects? Third, do genomic data support a route for out-of-Africa migration of modern humans across the mouth of the Red Sea? Fourth, assuming temporal stability of current populations, what are the estimated ages of Ethiopian populations relative to other African groups?

Link to press release. Link the supplemental data.

The authors reiterate that modern humans left Africa 50-70kya, a hypothesis that seems to me pretty much dead in the light of recent archaeological evidence.

The lack of antiquity in the Ethiopian population, even in only the African component thereof argues against that population being ancestral to modern humans. Note that if the Out-of-East Africa hypothesis is correct, then skulls like Omo I represent ancestral modern humans and they are followed much later by modern humans anywhere else. So, while anatomical modernity may have emerged in East Africa --or maybe not; let's not forget that we have early modern skulls from the region in part because of the excellent preservation conditions and excess of scholarly interest-- there is no evidence that they spread from there.

I have little doubt that my own theory about substantial back-migration of Eurasians into Africa will eventually win the day. Of course, I am not referring to the recent (in the last 3,000 years) admixture with West Eurasians that the Ethiopian population has undergone, but rather to the more ancient migration that was probably associated with Y-haplogroup DE-YAP.

The fact that the African component of diverse African populations is more closely related to West than to East Eurasians is one piece of evidence among many for that scenario. Hopefully, it can be tested soon using whole genome data which may have enough density to detect much older admixture events.

UPDATE I: Since the dates in the paper are based on ROLLOFF, a piece of software that is not publicly available more than a year after its announcement, and which contradicts other software released by the same authors, I will take the Queen of Sheba stories circulated in the media with a huge grain of salt.

The American Journal of Human Genetics, 21 June 2012 doi:10.1016/j.ajhg.2012.05.015

Ethiopian Genetic Diversity Reveals Linguistic Stratification and Complex Influences on the Ethiopian Gene Pool

Luca Pagani et al.

Humans and their ancestors have traversed the Ethiopian landscape for millions of years, and present-day Ethiopians show great cultural, linguistic, and historical diversity, which makes them essential for understanding African variability and human origins. We genotyped 235 individuals from ten Ethiopian and two neighboring (South Sudanese and Somali) populations on an Illumina Omni 1M chip. Genotypes were compared with published data from several African and non-African populations. Principal-component and STRUCTURE-like analyses confirmed substantial genetic diversity both within and between populations, and revealed a match between genetic data and linguistic affiliation. Using comparisons with African and non-African reference samples in 40-SNP genomic windows, we identified “African” and “non-African” haplotypic components for each Ethiopian individual. The non-African component, which includes the SLC24A5 allele associated with light skin pigmentation in Europeans, may represent gene flow into Africa, which we estimate to have occurred ∼3 thousand years ago (kya). The African component was found to be more similar to populations inhabiting the Levant rather than the Arabian Peninsula, but the principal route for the expansion out of Africa ∼60 kya remains unresolved. Linkage-disequilibrium decay with genomic distance was less rapid in both the whole genome and the African component than in southern African samples, suggesting a less ancient history for Ethiopian populations.

Link

Nicholls and Ryder: Semitic 4.4-5.1 thousand years before present

The same authors dated Proto-Indo-European at 8.4ky, in agreement with the work of Gray and Atkinson. In the current paper they re-analyze the data of Kitchen et al. (2009) for Semitic languages, and their estimate is somewhat younger than 5,750 years of that paper. All in all, it's good to see different researchers using different techniques but coming up with similar solutions.

It is increasingly clear that while the Proto-Indo-Europeans originated in the Neolithic Near East, the Proto-Semites followed them by about three thousand years. In the latter case there is also a Y-chromosome marker (J-P58) with an apparent age in impeccable agreement with the linguistic evidence, now that the genealogical-"evolutionary" mutation wars seem to have been won.

This also brings into focus the weakness of the argument that Anthony (2007) (p. 76) brings to the table by hypothesizing that the first farmers of northern Syria were Afro-Asiatic speakers like the Semites of the Near Eastern lowlands. Semites come into the picture 5,000 years after the onset of the Neolithic, and 3,000 years after the Proto-Indo-Europeans. Their relationship with Afroasiatic speakers of Africa make it quite likely that they lived in the south, probably in Arabia, and certainly not in eastern Anatolia or northern Syria.

Indeed, the recent discovery that haplogroup J1*(xP58) is associated with Northeast Caucasian languages, together with the absence or paucity of J1 in most African Afroasiatic speakers suggests to me that the J-P58 Proto-Semites may be the result of the transfer of an African language on a basically West Asian population. Such a scenario might also explain some of the -incorrectly quantified, but nonetheless existent- African genetic components in both Jews and Arabs, as well as the pastoralist/dry-climate J1 associations.

Proceedings of the 26th International Workshop on Statistical Modelling.

Phylogenetic models for Semitic vocabulary.
Geoff K Nicholls and Robin J. Ryder

Abstract: Kitchen et al. (2009) analyze a data set of lexical trait data for twenty five Semitic languages, including ancient languages Hebrew, Aramaic and Akkadian, modern South Arabian and Arabic languages and fifteen ethiosemitic languages. They estimate a phylogenetic tree for the diversification of lexical traits using tree and trait models and methods set up for genetic sequence data. We reanalyze the data in a homplasy-free model for lexical trait data. We use a prior on phylogenies which is non-informative with respect to some of the key scientific hypotheses (concerning topology and root time). Our results are in broad agreement with those of Kitchen et al. (2009), though our 95% HPD for the root of the Semitic tree (the branching of Akkadian) is [4400, 5100]BP and we place Moroccan and Ogaden Arabic in the Modern South Arabian Group.

Link (pdf)

R-V88 and migration of Chadic speakers across the Sahara

The presence of R1b chromosomes in Africa is one of a few Y-chromosome phylogeographic anomalies I noted long ago. This new paper offers an insight into the migration of these chromosomes along with the Chadic branch of Afroasiatic from Asia to Europe. More on this after I read the paper.

UPDATE (8/1/10):

The paper, to its credit acknowledges that the "effective mutation rate" depends on population growth history as I have argued a year and a half ago. The authors write:

Owing to the uncertainties associated with the estimate of the evolutionary effective microsatellite mutationrates, depending on the haplogroup demographic history,³⁷ we considered two different population models: (1) a constant size population and (2) a single rate of m=0.01 for exponential population growth. After calibration for the specificmicrosatellites used in this study,¹³ we found evolutionary effective mutationrates of 7.9x10^-4 and 1.3x10^-3, respectively.

and:

As an upper limit, we used the coalescence time of the R-M343/P25 haplogroup (12.9 ky, 95% CI=11.6–14.3 ky, under a conservative scenario of constant population size), which, on the basis of the accumulated nucleotide and microsatellite diversity (Table 1; Figure 2), most likely originated outside Africa. The coalescence time of the seemingly African-specific haplogroup R-V69 (6.0 ky, 95% CI=4.2–8.2 ky, under the hypothesis of an expanding population) was used as a lower limit.

As I noted in haplogroup sizes and observation selection effects haplogroup sizes provide a sanity check to assumptions about population growth history:

Haplogroups do not reach commonly-observed present-day sizes under the assumption of constant population size. Inferences of age based on such an assumption are a very conservative upper limit. However, the assumption of m=0.01 also does not result in "large" present day haplogroups (see previous link).

Thus, I suppose that the age of R-V88 is younger than 4.2–8.2 ky, and could be as young as ~3-4ky in a rapidly expanding population. To determine how fast R-V88 actually grew, we must take into account its present-day demographic size (how many people in the world now possess it). The final estimate must be consistent with both the demographic size and the current Y-STR variance.

I don't have data on R-V88 prevalence today, but it really doesn't take a very large haplogroup in order to infer a very fast growth rate, and a Y-STR variance accumulation rate (effective rate) close to the germline one. Therefore, I am guessing that R-V88 is also one of a growing palette of haplogroups that expanded during the Bronze Age.

European Journal of Human Genetics doi:10.1038/ejhg.2009.231

Human Y chromosome haplogroup R-V88: a paternal genetic record of early mid Holocene trans-Saharan connections and the spread of Chadic languages

Fulvio Cruciani et al.

Abstract

Although human Y chromosomes belonging to haplogroup R1b are quite rare in Africa, being found mainly in Asia and Europe, a group of chromosomes within the paragroup R-P25* are found concentrated in the central-western part of the African continent, where they can be detected at frequencies as high as 95%. Phylogenetic evidence and coalescence time estimates suggest that R-P25* chromosomes (or their phylogenetic ancestor) may have been carried to Africa by an Asia-to-Africa back migration in prehistoric times. Here, we describe six new mutations that define the relationships among the African R-P25* Y chromosomes and between these African chromosomes and earlier reported R-P25 Eurasian sub-lineages. The incorporation of these new mutations into a phylogeny of the R1b haplogroup led to the identification of a new clade (R1b1a or R-V88) encompassing all the African R-P25* and about half of the few European/west Asian R-P25* chromosomes. A worldwide phylogeographic analysis of the R1b haplogroup provided strong support to the Asia-to-Africa back-migration hypothesis. The analysis of the distribution of the R-V88 haplogroup in >1800 males from 69 African populations revealed a striking genetic contiguity between the Chadic-speaking peoples from the central Sahel and several other Afroasiatic-speaking groups from North Africa. The R-V88 coalescence time was estimated at 9200–5600 kya, in the early mid Holocene. We suggest that R-V88 is a paternal genetic record of the proposed mid-Holocene migration of proto-Chadic Afroasiatic speakers through the Central Sahara into the Lake Chad Basin, and geomorphological evidence is consistent with this view.

Link

mtDNA and ethnic differentiation in East Africa

From the paper:

The pattern observed in East Africa (with the exception of the Khoisan-related Hadza and Sandawe populations), which combines a high level of within-population diversity with strong genetic structure among populations, suggests the occurrence of periodical episodes of admixture in these populations, separated by periods of isolation and genetic drift. Indeed, the observation of high levels of diversity within populations could be due to long-term large effective population sizes maintained in East Africa. In this case, however, little genetic structure between populations should be expected, since there would be little opportunity for genetic drift to act. Alternatively, gene flow can produce high within population diversity, and in the present case, it could also account for the extensive sharing of haplotypes and haplogroups observed between the Nyangatom and the Daasanach, as well as with other populations.

This seems like a very clever observation: substantial gene flow and a large effective population size would be inconsistent with population structure, as the different populations would be homogenized and drift would not be able to differentiate them. Long-term lack of gene flow, on the other hand, would not explain the sharing of haplotypes between populations, as each population would develop its own distinctive genetic signatures over time. Thus, the simplest explanation for the observed pattern is that gene flow has indeed occurred (accounting for the sharing of haplotypes), but that it was not continuous (accounting for the fact that populations are, after all, substantially differentiated).

From the paper:

The intermediate linkage disequilibrium (LD) found in East Africa (Tishkoff et al., 1996) in contrast with Europe (high LD) and Sub-Saharan Africa (low LD, Tishkoff & Kidd, 2004; Conrad et al., 2006), could be due to such admixture events, more frequently occurring in this region compared to other Sub-Saharan populations. Substantial levels of gene flow among Nilo-Saharan, Afro-Asiatic and Niger-Congo populations from Tanzania have already been inferred by Tishkoff et al. (2007a) and our results suggest that these gene flows could have occurred in a larger region extending up to Southern Ethiopia.

Indeed, in the absence of recent admixture, the East African populations would exhibit similar levels of LD with Sub-Saharan Africans., or even lower, as the indigenous East Africans are arguably older than those of the interior of the continent. The fact that they exhibit higher LD (intermediate between Europe and Sub-Saharan Africa) can be explained by admixture, i.e., the fact that they have inherited long stretches of DNA from the parental populations in each admixture event, and that time since that event has not been sufficiently long to cause the decay of these chunks into smaller pieces.

And, from the conclusions of the paper:

The high diversity in East Africa was interpreted as a sign of an ancient origin. However, our results might indicate that this high diversity could also come from a particular history of recent migrations and admixture promoted by the pastoralist societies that dominate in the region.

Note, that an East African origin of mankind is still the best hypothesis on palaeoanthropological and simply geographical grounds. However, the high genetic diversity found in East Africa does not necessarily reflect the antiquity of that population, but rather its history of repeated admixture by peoples of different origins.

There are two alternative hypotheses for why East Africans accumulated so much genetic diversity:

1. They are the oldest population, and have been accumulating genetic diversity for the longest period of time
2. They are substantially admixed with very divergent components (e.g., Semites, Nilo-Saharans, Cushitic speakers, and so on)

A not-so-bad example would be to compare them with other known population sources in the world, e.g., Anatolia, from where multiple waves of humans entered Europe in Paleolithic and Neolithic times. Many would agree that such movements took place, but it would be incorrect to see the population of Anatolia as a little-altered descendant of its earliest inhabitants, as the current genetic diversity observed there is -at least in part- the result of the settlement of the region by peoples from the Balkans, Central Asia, Levant, and even Western Europe.

Ann Hum Genet. 2009 Aug 25. [Epub ahead of print]

Genetic Evidence for Complexity in Ethnic Differentiation and History in East Africa.

Poloni ES, Naciri Y, Bucho R, Niba R, Kervaire B, Excoffier L, Langaney A, Sanchez-Mazas A.

Summary

The Afro-Asiatic and Nilo-Saharan language families come into contact in Western Ethiopia. Ethnic diversity is particularly high in the South, where the Nilo-Saharan Nyangatom and the Afro-Asiatic Daasanach dwell. Despite their linguistic differentiation, both populations rely on a similar agripastoralist mode of subsistence. Analysis of mitochondrial DNA extracted from Nyangatom and Daasanach archival sera revealed high levels of diversity, with most sequences belonging to the L haplogroups, the basal branches of the mitochondrial phylogeny. However, in sharp contrast with other Ethiopian populations, only 5% of the Nyangatom and Daasanach sequences belong to haplogroups M and N. The Nyangatom and Daasanach were found to be significantly differentiated, while each of them displays close affinities with some Tanzanian populations. The strong genetic structure found over East Africa was neither associated with geography nor with language, a result confirmed by the analysis of 6711 HVS-I sequences of 136 populations mainly from Africa. Processes of migration, language shift and group absorption are documented by linguists and ethnographers for the Nyangatom and Daasanach, thus pointing to the probably transient and plastic nature of these ethnic groups. These processes, associated with periods of isolation, could explain the high diversity and strong genetic structure found in East Africa.

Link

Bronze Age origin of Semitic languages

Bayesian phylogenetic methods, originally developed for biology, have been increasingly -and successfully- applied to linguistic data in recent years (e.g., for Indo-Europeans, Melanesians, and Austronesian speakers from the Pacific).

The current paper proposes a Bronze Age origin for Semitic languages, ~3 thousand years after the split of European from Anatolian Indo-European speakers. I don't find this particularly surprising, as Semitic has been, until relatively recently, much more geographically constrained than Indo-European, and -due to the early literacy of the populations of the Near East, its post-Neolithic arrival can be observed in the archaeological record itself.

It also explains a facet of Y-chromosome distribution, that I have commented on before, namely the fact that the common Near Eastern haplogroup J2 extends from Europe to South Asia in a "horizontal zone" accompanied with little of its sister clade J1, but in the Near East itself, there is a "vertical zone" from the Black and Caspian seas to Arabia of high J1 frequency. As I have explained recently, the mixed J2/J1 frequency in the central Near East is due to an enrichment with J1 lineages of a population that had (in pre-Semitic times) a high J2/J1 ratio like those of Europe, Asia Minor, and Iran. J1 should not be seen as exclusively Semitic, but it can't be denied that the major factor affecting its current spread has been the arrival of Semites from the South, the latest episode of which involved the spread of Arab Muslims.

The current study also demonstrates that linguistic Bayesian phylogenetics (LBP) has no inherent bias to produce older dates for language dispersals; while the origin of the Indo-European (IE) language family has been dated to the early European Neolithic, and now Semitic to ~6,000 years, the spread of Melanesian languages to Pleistocene times, and of the Austronesian settlement of the Pacific to ~5,000 years. The congruence between LBP and traditional archaeology in all these cases should force IE exceptionalists who cling to the old theory of "steppe horse riders" to explain why, only in the dispersal of IE, it should LBP should have failed.

The paper also has free supplementary data, including a multistate phylogeny (pdf) of Semitic languages (reproduced top left of this post).

(More details to follow after I thoroughly read the paper)

UPDATE (Aug 27):

From the paper:

Furthermore, Eblaite (no Eblaite wordlists were available for our study), the closest relative of Akkadian and the only other member of East Semitic, was spoken in the Levant (specifically the northeast Levant or present-day Syria; Gordon 1997), which is also where some of the oldest West Semitic languages were spoken (Ugaritic, Aramaic and ancient Hebrew). The presence of ancient members of the two oldest Semitic groups (East andWest Semitic) in the same region of the Levant, combined with a possible long interval (100–3000 years) between the origin of Semitic and the appearance of Akkadian in Sumer, suggests a Semitic origin in the northeast Levant and a later movement of Akkadian eastward into Mesopotamia and Sumer (see figure 1 for a map of our proposed Semitic dispersals).

An origin of Semitic in northeast Levant (Syria) would be consistent with the observed east-west cline of decreasing J1 frequency in the Levant; the authors do, however, mention that the possibility for unknown extinct languages of the Semitic language may shift both the age of the language and its place of origin.

Lacking closely related non-Semitic languages to serve as out-groups in our phylogeny, we cannot estimate when or where the ancestor of all Semitic languages diverged from Afroasiatic. Furthermore, it is likely that some early Semitic languages became extinct and left no record of their existence. This is especially probable if early Semitic societies were pastoralist in nature (Blench 2006), as pastoralists are less likely to leave epigraphic and archaeological evidence of their languages.

A pastoralist association of Semitic languages is also consistent with the observed correlation of haplogroup J1 with herders and J2 with settled farmers in the Near East.


Proc. R. Soc. B 7 August 2009 vol. 276 no. 1668 2703-2710

Bayesian phylogenetic analysis of Semitic languages identifies an Early Bronze Age origin of Semitic in the Near East

Andrew Kitchen et al.

Abstract

The evolution of languages provides a unique opportunity to study human population history. The origin of Semitic and the nature of dispersals by Semitic-speaking populations are of great importance to our understanding of the ancient history of the Middle East and Horn of Africa. Semitic populations are associated with the oldest written languages and urban civilizations in the region, which gave rise to some of the world's first major religious and literary traditions. In this study, we employ Bayesian computational phylogenetic techniques recently developed in evolutionary biology to analyse Semitic lexical data by modelling language evolution and explicitly testing alternative hypotheses of Semitic history. We implement a relaxed linguistic clock to date language divergences and use epigraphic evidence for the sampling dates of extinct Semitic languages to calibrate the rate of language evolution. Our statistical tests of alternative Semitic histories support an initial divergence of Akkadian from ancestral Semitic over competing hypotheses (e.g. an African origin of Semitic). We estimate an Early Bronze Age origin for Semitic approximately 5750 years ago in the Levant, and further propose that contemporary Ethiosemitic languages of Africa reflect a single introduction of early Ethiosemitic from southern Arabia approximately 2800 years ago.

Link

Y chromosomes and mtDNA from Soqotra

UPDATE (18/11): see a related post on the age of the new mtDNA lineages [end update]

Soqotra is an island in the Indian Ocean which belongs to Yemen. What is most interesting -to me- about this paper, is that 71.4% of the Y-chromosomes belong to haplogroup J*(xJ1, J2) which is found at trace frequencies elsewhere. Interestingly, haplogroup J2 is not found in this isolated region, while haplogroup J1 is found at a frequency of 14.3%.

The authors write:

For the perspective of the Y-chromosome data, a high
frequency of haplogroup J1 in Soqotra is consistent with
a gradient of this haplogroup in the Arabian Peninsula
(Cadenas et al., 2008). These authors estimated ages for
J1 in Arabia (9.7 +/ 2.4 in Yemen, 7.4 +/- 2.3 in Qatar and
6.4 +/- 1.4 KYBP in UAE), consistent with a Neolithic
expansion from the north (where Y-chromosome STR diversity
is higher). However, we report a much higher frequency
of J* (lack of M267 and M172) in Soqotra. Since
this lineage was not found by Cadenas et al. (2008) in
the Arabian Peninsula, this raises the possibility of an
earlier input for these lineages or more probably very
strong genetic drift of a low frequency Arabian lineage
in the Y-chromosome gene pool of Soqotra.

The early dates from Cadenas et al. are due to the use of an evolutionary mutation rate, and thus need to be downgraded to about ~1,000BC onwards, coinciding (within wide confidence intervals) with the formation of the earliest Arabian kingdoms. It seems probable that J*(xJ1, J2) was commoner in the past, and contributed to the population of Soqotra, but this population was later overwhelmed by the expansion of J1-carriers who dominate the Arabian peninsula to this day.

It is unfortunate that apparently many J2 downstream markers were typed even though there is no J2 on the island, whereas haplogroup E, occurring at a frequency of 9.5% was not further resolved. This underscores the need for a more flexible typing stratgy; at this level it is not clear whether this E came to the island from Africa or from Arabia.

American Journal of Physical Anthropology doi: 10.1002/ajpa.20960

Out of Arabia - The settlement of Island Soqotra as revealed by mitochondrial and Y chromosome genetic diversity

Viktor Cerny et al.

Abstract

The Soqotra archipelago is one of the most isolated landmasses in the world, situated at the mouth of the Gulf of Aden between the Horn of Africa and southern Arabia. The main island of Soqotra lies not far from the proposed southern migration route of anatomically modern humans out of Africa 60,000 years ago (kya), suggesting the island may harbor traces of that first dispersal. Nothing is known about the timing and origin of the first Soqotri settlers. The oldest historical visitors to the island in the 15th century reported only the presence of an ancient population. We collected samples throughout the island and analyzed mitochondrial DNA and Y-chromosomal variation. We found little African influence among the indigenous people of the island. Although the island population likely experienced founder effects, links to the Arabian Peninsula or southwestern Asia can still be found. In comparison with datasets from neighboring regions, the Soqotri population shows evidence of long-term isolation and autochthonous evolution of several mitochondrial haplogroups. Specifically, we identified two high-frequency founder lineages that have not been detected in any other populations and classified them as a new R0a1a1 subclade. Recent expansion of the novel lineages is consistent with a Holocene settlement of the island ~6 kya.

Link

Y chromosomes of Sudanese

American Journal of Physical Anthropology

Y-chromosome variation among Sudanese: Restricted gene flow, concordance with language, geography, and history

Hisham Y. Hassan et al.

Abstract

We study the major levels of Y-chromosome haplogroup variation in 15 Sudanese populations by typing major Y-haplogroups in 445 unrelated males representing the three linguistic families in Sudan. Our analysis shows Sudanese populations fall into haplogroups A, B, E, F, I, J, K, and R in frequencies of 16.9, 7.9, 34.4, 3.1, 1.3, 22.5, 0.9, and 13% respectively. Haplogroups A, B, and E occur mainly in Nilo-Saharan speaking groups including Nilotics, Fur, Borgu, and Masalit; whereas haplogroups F, I, J, K, and R are more frequent among Afro-Asiatic speaking groups including Arabs, Beja, Copts, and Hausa, and Niger-Congo speakers from the Fulani ethnic group. Mantel tests reveal a strong correlation between genetic and linguistic structures (r = 0.31, P = 0.007), and a similar correlation between genetic and geographic distances (r = 0.29, P = 0.025) that appears after removing nomadic pastoralists of no known geographic locality from the analysis. The bulk of genetic diversity appears to be a consequence of recent migrations and demographic events mainly from Asia and Europe, evident in a higher migration rate for speakers of Afro-Asiatic as compared with the Nilo-Saharan family of languages, and a generally higher effective population size for the former. The data provide insights not only into the history of the Nile Valley, but also in part to the history of Africa and the area of the Sahel.

Link

mtDNA variation in India

From the article:

The geography of India has played a decisive role in the peopling of India. Populations within India have been subjected to foreign invasions and migrations from time to time, resulting in no single apparent origin for any present day population groups and a conglomeration of different Y-chromosomal lineages (Quintana-Murci et al 2001; Saha et al 2005). The maternal gene flow in and out of India has been limited since the initial settling of Indian maternal lineages (Metspalu et al 2004). Indian mtDNA lineages belong to either Asian-specific haplogroup M or western Eurasian-specific haplogroups H, I, J, K, U, W and others that were not established anywhere (Kivisild et al 1999). The high frequency and diversity of mtDNA haplogroup M, the major contributor to the Indian maternal gene pool, has been associated with its southwest-Asian origin (Roychoudhury et al 2000, 2001; Richards et al. 2003; Rajkumar et al. 2005), whereas the presence of lineage M1 in Africa (Quintana-Murci et al 1999) and lack of L3 lineages other than M and N in India has become the most parsimonious view of the origin of haplogroup M in east Africa, which has been supported by the most recent view of single rapid coastal settlement of Asia by three major mtDNA haplogroups, M, N and R (Palanichamy et al 2004; Macaulay et al 2005; Thangaraj et al 2005; Forster and Matsumura 2005) as the founding female lineages to Indian population groups. However, the restricted presence of M as M1 and the phylogeography of M1 in Africa, predominantly in the Afro-Asiatic linguistic phylum (Metspalu et al 2004), leaves the question of the origin of haplogroup M unanswered.

J Hum Genet. [Epub ahead of print]

Human mtDNA hypervariable regions, HVR I and II, hint at deep common maternal founder and subsequent maternal gene flow in Indian population groups.


S. Sharma et al.

We have analysed the hypervariable regions (HVR I and II) of human mitochondrial DNA (mtDNA) in individuals from Uttar Pradesh (UP), Bihar (BI) and Punjab (PUNJ), belonging to the Indo-European linguistic group, and from South India (SI), that have their linguistic roots in Dravidian language. Our analysis revealed the presence of known and novel mutations in both hypervariable regions in the studied population groups. Median joining network analyses based on mtDNA showed extensive overlap in mtDNA lineages despite the extensive cultural and linguistic diversity. MDS plot analysis based on Fst distances suggested increased maternal genetic proximity for the studied population groups compared with other world populations. Mismatch distribution curves, respective neighbour joining trees and other statistical analyses showed that there were significant expansions. The study revealed an ancient common ancestry for the studied population groups, most probably through common founder female lineage(s), and also indicated that human migrations occurred (maybe across and within the Indian subcontinent) even after the initial phase of female migration to India.

Link

The origin of M1

Here is the page of a doctoral student working on the origin of mtDNA haplogroup M1:

In addition, I am looking at a possible correlation between the presence of M1 in North and East Africa, and the Afro-Asiatic language family, which exists in a generally comparable region as M1. Further research in this area may help to understand more fully the relationship between genetic and linguistic change.

African Language Families: Illustrates the diverse linguistic families of the African continent. The Afro-Asiatic Language family may be related to the M1 mitochondrial haplogroup, as both are present in the same general areas of Africa and the Middle East.

I had referenced this work recently inspired by an abstract which appeared in the annual meeting of the AAPA:

The second great puzzle is mtDNA haplogroup M1 which occurs in East and North Africa, West Asia and Southern Europe, but not apparently anywhere else. M1 is a branch of the mainly Asian macrohaplogroup M, which is of great antiquity in Asia and likely originated there. According to a recent abstract, Holden et al. indicate that M1 is found at high frequencies in East and Northern Africa but not in Sub-Saharan Africa, and hint that it may be linked to the Afro-Asiatic language family. This suggestion is reasonable, and in my opinion the correspondence between M1 and Y-chromosome haplogroup E3b is quite remarkable throughout the broad peri-Mediterranean region, with E3b also reaching high frequencies in Afro-Asiatic speakers.

Three phylogeographic anomalies

In the last few years, the phylogeography of many clades of the human mtDNA and Y-chromosome systems has been adequately resolved, but there still exist several big remaining puzzles.

The first one is that of mtDNA haplogroup X, which has been addressed in a recent paper. This is a very ancient clade, which is found at low frequencies almost everywhere, and is divided into two subclades: X1 is found mainly in eastern and northern Africa, whereas X2 is found in northern Africa and everywhere else, including Native Americans. It is interesting that the X2 seems to have spread after the Last Glacial Maximum, and the Native American clade, X2a was an "early split": today's Siberian X2 seem to be recently derived from Western Eurasia than those of the ancient trek which brought X2 into the New World. It is fascinating that X2 was brought into the New World by some ancient expansion that did not leave any traces in the genes of modern inhabitants of the likely routes.

The second great puzzle is mtDNA haplogroup M1 which occurs in East and North Africa, West Asia and Southern Europe, but not apparently anywhere else. M1 is a branch of the mainly Asian macrohaplogroup M, which is of great antiquity in Asia and likely originated there. According to a recent abstract, Holden et al. indicate that M1 is found at high frequencies in East and Northern Africa but not in Sub-Saharan Africa, and hint that it may be linked to the Afro-Asiatic language family. This suggestion is reasonable, and in my opinion the correspondence between M1 and Y-chromosome haplogroup E3b is quite remarkable throughout the broad peri-Mediterranean region, with E3b also reaching high frequencies in Afro-Asiatic speakers.

The third puzzle is that of Y-chromosome haplogroup DE defined by the YAP mutation. The E clade of YAP encompasses the great majority of African Y-chromosomes, and is clearly split into a subclade, E3b which has a peri-Mediterranean distribution similar to that of the aforementioned M1, and all the rest, almost exclusively limited to Sub-Saharan Africa. The "brother" of E, is haplogroup D, which is found in such peoples as the Andamanese, the Tibetans, and the Ainu. At present it seems reasonable that E originated somewhere in Africa, but the origin of D is far from certain, as it is now found in certain "fringe" populations, but also in low frequencies among many Asians. Perhaps, D had a much more prevalent distribution in the past, but the expansion of later successful lineages, such as O, the main haplogroup found in East Asians today overwhelmed those earlier Asian populations. What about YAP itself? Dit it originate in Asia, where its D descendants are located, or in Africa, where its E descendants are? As late as 2003, we don't know, and no new research has appeared to shed light on this problem.

Abstracts from 74th Meeting of AAPA

They can be found here. Some interesting abstracts that caught my attention.

• Inter- and intraspecific variation in Pan tooth crown morphology: implications for Neandertal taxonomy. [Nenaderthals are distinct from Europeans and a separate species]
• Longevity in the Middle Paleolithic: Did modern humans live longer than Neandertals? [Increased longevity was not associated with anatomically modern humans but with the Upper Paleolithic]
• Sequence data from the autosomes and X chromosome: Evidence for ancient admixture in the history of H. sapiens? [East Asians have 2million BP polymorphism]
• MtDNA variation in North, East, and Central African populations gives clues to a possible back-migration from the Middle East. [M1 sharply differentiates North and East Africans from Sub-Saharans and may have originated outside Africa]
• Rejection of isolation by distance for human gene geography and suggested alternatives. [Human genetic diversity is structured and is not well-described by isolation by distance]
• Population structure in sub-Saharan Africans based on mitochondrial, Y chromosomal and X chromosomal DNA sequences. [Genetic diversity in Africa is explained by the fact that African populations were widely scattered and experienced gene flow between them]
• Using measures of locus-specific differentiation to find genes underlying traits subject to recent genetic adaptation: a test case using skin pigmentation. [Europeans and Asians are light due to selection on different genes]
• Demographic and selective history of African populations inferred from genome wide genetic markers. [Large multi-locus study finds significant substructure in Africa]
• The distribution of ancestral alleles among populations. [The fact that Africans have more ancestral alleles than other humans does not mean that humanity originated in Africa]
• History of modern human population structure inferred from the worldwide survey on Xp11.22 sequences. [1.1 million year old ancestry in North Africa and the Middle East]
• Demographic history of African populations inferred from mtDNA analysis. [Mankind originated in Tanzania, and Khoisan speakers originated in East Africa]

Midfacial variation in recent human, Zhoukoudian Upper Cave, and Paleoindian crania.

J.C.M. Ahern et al.

This study tests the hypothesis that the midfaces of select Late Pleistocene Asians and Paleoindians cannot be distinguished from recent Amerindians. Recent interpretations of Paleoindian remains have highlighted their variability and affinities to a variety of living non-Amerindian human populations. Although midfacial anatomy has been touched upon in some of these analyses, metric treatment of upper and lower midfacial anatomy has not been thoroughly examined. Given that midfacial anatomy is useful for determining population affinities among recent people, it may also prove effective at assessing past prehistoric population affinities.
Measurements of the upper and lower midface were collected on samples of three extant human populations: Amerindians (n=46), African Americans (n=58), and Euroamericans (n=62). Measurements were also collected on casts of the three crania from Zhoukoudian Upper Cave and the Spirit Cave and Wizards Beach Paleoindian specimens. The Upper Cave crania were chosen since they may represent a population ancestral to the first people to colonize the Americas. Spirit Cave and Wizards Beach were chosen since their differences epitomize the degree of variation and contrasting population affinities of North American Paleoindians. Using discriminant function analysis, Spirit Cave fell in the area of overlap between Amerindians and African Americans, while the other fossil crania had a higher probability Amerindian classification. Unlike some previous analyses, none of the fossil crania showed affinities with Europeans. Our results further indicate that the pattern of relationships and variation among Late Pleistocene Asians and Paleoindians was complex.

Inter- and intraspecific variation in Pan tooth crown morphology: implications for Neandertal taxonomy.


S.E. Bailey

Measures of divergence based on dental morphology are known to reflect biological distance in contemporary modern humans. Previous studies of Neandertal tooth crown morphology have shown that they possess a pattern of trait frequencies that differs significantly from that of contemporary and fossil anatomically modern humans. However, there is no taxonomic ‘yard stick’ against which to interpret the degree of dental divergence observed. The goal of this study was to test whether the dental morphological differences between Neandertals and anatomically modern humans were typical of subspecific (Pan troglodytes troglodytes:Pan troglodytes schweinfurthi) or closely related specific (Pan troglodytes:Pan paniscus) taxa. Eighteen dental crown traits were used to assess inter- and intraspecific variation. A Mean Measure of Divergence statistic was used to calculate morphological distance. The hominin sample included 33 Neandertals, 7 early modern humans, 19 Upper Paleolithic Europeans, and 179 contemporary humans from seven geographic regions. The Pan sample included 37 P.t. troglodytes, 44 P.t. schweinfurthi and 33 P. paniscus specimens. Measures of divergence based on pair-wise comparisons of Neandertals and anatomically modern humans were found to be higher than those derived from both subspecific and specific pair-wise comparisons of Pan. Moreover, Neandertals show no morphological affinity to either Upper Paleolithic or contemporary Europeans and are more than twice as divergent from all contemporary human samples as these samples are from each other. In as much as Pan represents an appropriate model for interpreting dental morphological divergence in Homo, these results are broadly supportive of the specific status of Neandertals.

Natural selection in the Tibet Autonomous Region.

C.M. Beall et al.

Indigenous high-altitude populations have been exposed to the opportunity for natural selection. The ability detect natural has been hampered because the genetic bases of the quantitative traits that appear to be adaptive are often unknown. However, Tibetan populations have a major gene for oxygen saturation of hemoglobin. One allele at the inferred locus is associated with 6-10% higher levels and less hypoxemia. We reported that Tibetan women residing at 4000m altitude with a high likelihood of having one or two alleles for high oxygen saturation had more living children because fewer of their live births died during infancy. Those findings suggested that high-altitude hypoxia is acting as an agent of natural selection on the locus for oxygen saturation of hemoglobin. Here, we consider the implications for understanding the evolution of adaptations to the environment. The relative fitness of the low saturation genotype as compared with the two high saturation genotypes was 0.44 based on the ratio of the number of living children. This relative fitness was lower than reported for comparisons of Hb AA and AS genotypes in malarial areas (0.66 – 0.88). Hypoxic stress differs qualitatively from malaria stress: hypoxia is constant whereas malaria parasitemia level fluctuates. Thus, the selective advantage of the high saturation allele is probably constant whereas the selective advantage of an antimalarial genotype may be intermittent. Large fitness differences among genotypes indicate the potential for rapid change in allele frequency. Human genetic adaptation may be rapid and may depend upon the nature of the environmental stress.

MtDNA diversity in six West Indian Islands throughout the Anglophone Caribbean.

J. Benn Torres et al.

The Caribbean is an example of a convergence of people and cultures from several continents. Few researchers have investigated how this phenomenon affected immigrants and their subsequent communities, even fewer have attempted to examine this convergence using anthropological genetics. In this analysis, mtDNA hypervariable region I (HVI) and haplogroup diagnostic RFLPs are examined in 318 individuals from six Afro-Caribbean communities in Dominica, St. Lucia, St. Kitts, St. Vincent, Grenada, and Trinidad. Genetic diversity and maternal genetic contributions to contemporary Caribbean populations are examined and comparisons are made between these data and those published from other African and African-derived populations.

All samples were collected from buccal swabs, extracted, and amplified using standard methods. The HVI was sequenced and 14 RFLPs were typed to determine the haplogroup. The Caribbean sequence summary statistics (pi, theta, gene diversity, average number of nucleotide differences, and Tajima’s D) are all similar to each other and similar to published African data. MtDNA haplogroup L is detected in 93% of the total sample, while the remaining 7% consists of haplogroups A, C, F, J, N1c, U6, and U7. The presence of non-L types is indicative of non- Sub-Saharan African female gene flow into these communities and for the most part, is likely due to recent immigration. Different ethnic groups make up the African Diaspora, such as African-Americans, West Indians/Afro-Caribbeans, and Afro-Latinos, this study examines the origins of a little studied group within this Diaspora.

Searching for signatures of natural selection in high altitude populations.

A.W. Bigham et al.

Hypoxia, caused by lowered barometric pressure at high altitude (defined as >2500 m above sea level), results in severe physiological stress to the human body. Although the suite of human physiological responses to this environmental condition has been well documented, the genetic bases for these adaptations remain unknown. To search for genes possibly involved in adaptation to high altitude, we used FST and other measures of allele frequency differentiation. Local natural selection especially positive selection can lead to elevated allele frequency differences measured as high FST and locus specific branch length (LSBL). Although demographic factors as well as genetic drift can also affect differences between populations, identifying high LSBL and high FST on genome-wide SNP datasets can be a powerful tool to rank candidate genes. Next, by comparing a high altitude, Indigenous American population (Quechua) to a low altitude, Indigenous American population (Nahua) using these statistics, a list of 451 SNPs (threshold FST >0.20) and 636 genes within 40kb region of those markers was generated. Based on this dataset, candidate genes that may have undergone natural selection in the Quechua population were revealed. Among these are nitric oxide synthase 2A (NOS2A) and endothelin 1 (Edn1).

Body orientations, sleep positions, and breast feeding behavior amongst solitary and co-sleeping (bedsharing) human mother-infant pairs: mutual physiological regulatory effects.


T. Brown et al.

Since the “back-to-sleep” campaign initiated in 1992, the rate per 1000 live births of American infants dying from SIDS has been reduced by half. This NIH funded research provides a basis for further appreciating how the mother’s body and responses in addition to the infant sleeping on its back can create an adaptive “micro-environment” for the human infant, and how both the mother and infant, by virtue of their sensory interactions, changes each other’s physiological status. 15 routinely solitary sleeping breastfeeding infants and their mothers and 23 routinely bed sharing breastfeeding mother-baby pairs sleeping apart and together over three consecutive nights were filmed using infrared cameras. Data collected on body orientation, sleep position, crying, breastfeeding, and maternal responses, as mothers and infants shift between bedsharing and separate room sleeping reveal changes in maternal-infant interactions involving partner-induced arousal patterns and overall sleep duration. Breastfeeding doubled when mother and their infants slept together, and infants cried significantly less. Decreased infant crying may be related to the shortened temporal latencies between when the infant aroused and when their bedsharing mothers responded. This makes problematic a 1999 recommendation by the American Consumer Product Safety Commission, to “never sleep with a baby.”

Ethnic and biological identity in New Kingdom Nubia.

M.R. Buzon

The populations of Nubia and Egypt have had a long history of interaction. While past studies have often focused on the unidirectional changed forced on Nubia by Egypt, more recent paradigms emphasizing the dynamic and bidirectional nature of these power relations are more appropriate for this situation. The events that occurred around the time of the Egyptian New Kingdom occupation of Nubia are significant. It is during this time that the foundations of the Nubian Napatan Kingdom, which ruled Egypt as the 25th Dynasty, were being built. Scholars disagree about who controlled Nubia during this important time: Egyptian colonists or native leaders. In this paper, these issues are addressed using a bioarchaeological approach.

The people buried using Egyptian and Nubian ritual at the New Kingdom site of Tombos, located at the third cataract of the Nile in Nubia, are the focus of this research (N=100). In addition, 1,287 individuals from contemporaneous Egyptian and Nubian sites are examined in order to comparatively assess the Tombos population. Multivariate statistical analyses of cranial measurements and cranial non-metric traits are used to evaluate the genetic relationships between Tombos and these comparative populations. The analyses of genetic affinities suggest that the cranial morphology of the Tombos population is more heterogeneous than that of the Egyptian populations. This heterogeneity, however, is also characteristic of the native Nubian populations. Combined with the mixed ethnicity portrayed through archaeological indications of burial ritual, it is apparent that Tombos was comprised of an ethnically and biologically mixed group of people.

Artificial cranial deformation in the prehistoric lower Mississippi river valley.

S.N. Byers

A study was performed on the cranial deformation found among prehistoric individuals from Louisiana. The type, degree, and characteristics of the deformation are presented. In addition, hypotheses are tested concerning the association between presence or degree of cranial deformation and social/biological groups: warriors vs. non-warriors, elites vs. commoners, priests vs. commoners, male vs. female, and all members of society. Testing protocols are generated for each hypothesis and the fit between the data and the protocols tested. The results of these tests indicate that cranial deformation is not more common in some groups than in all members of society, indicating that the practice was not limited to groups such as warriors, elite, priests, or even only one of the sexes. The major finding is that this cultural practice appeared to increase in frequency through time from the oldest to the youngest site.

A reassessment of human cranial metric and nonmetric trait heritabilities.

E.A. Carson

Quantitative genetics models of human populations often rely on trait heritability rates to represent the genetic variability of phenotype. The heritability ‘gold standard’ was established 20 years ago by Sjøvold (1984) and Devor (1987), whose estimates of genetic inheritance for craniometric and, in Sjøvold’s case, cranial nonmetric traits are universally used and often averaged to obtain an overall heritability rate for population genetics models. Each of these studies, however, is problematic. The heritabilities reported by Sjøvold were calculated using linear regression, a technique which makes assumptions regarding the variance matrices and parental-offspring environmental correlation that are not valid for humans. In addition, measures typically included in anthropological studies such as nasal breadth, maximum cranial length and breadth, were not assessed in Sjøvold’s study. While Devor (1987) did report heritabilities for these established cranial dimensions, his data were collected on living humans; the use of soft tissue measurements as a proxy for skeletal dimensions has since been called into question.

The current study addresses each of these problems by utilizing maximum likelihood variance component analysis to calculate heritability estimates from a sample of 200 parental-offspring pairs of crania from the Hallstatt, Austria ossuary, the same skeletal population assessed by Sjøvold. Metric data were collected on 58 standard cranial landmarks using a Microscribe 3-D digitizer that allow for the calculation of 36 linear cranial measurements commonly used by physical anthropologists (Howells, 1989). This poster presents updated heritability estimates for these measures, as well as for 36 standard cranial non-metric traits.

Longevity in the Middle Paleolithic: Did modern humans live longer than Neandertals?

R. Caspari

Increased longevity, expressed as the number of individuals surviving to older adulthood, represents one of the ways that Upper Paleolithic Europeans differ from earlier European populations. It remains unclear whether this increase in adult survivorship is an attribute of the Upper Paleolithic itself, or whether it occurred in earlier anatomically modern humans migrating into Europe from elsewhere. In this paper we address this issue by comparing anatomically modern humans associated with the Middle Paleolithic of Western Asia to their Upper Paleolithic counterparts.

We examined differences in longevity by assessing the ratio of older to younger adults (OY ratios) in two earlier penecontemporary dental samples, both associated with the Middle Paleolithic: Neandertals and fossils considered anatomically modern Homo sapiens from Western Asia. Younger and older adult status was assessed by M3 eruption and wear seriation of each sample: M3 eruption indicated adulthood, and older adulthood was defined as the age at which individuals could first potentially become a grandparent (double the age of M3 eruption). Significance of the difference in ratios between the groups was tested using distributions generated by random resampling with replacement. Our results do not reject the null hypothesis of no difference between the two Middle Paleolithic populations. We conclude that the dramatic increase in adult survivorship was not a hallmark of the earliest modern humans, but instead occurred more recently coinciding with the Upper Paleolithic. Whether or not modern humans and Neandertals were conspecifics, this suggests that the increase in adult survivorship associated with the Upper Paleolithic was not directly linked to speciation.

The truth is out there: how NOT to use FORDISC.

D. Freid

FORDISC is an interactive computer program designed to classify an unknown adult cranium based on the reference samples in its database. FORDISC uses discriminant functions to construct a classification matrix and assign group membership of the unknown cranium into one of the selected reference groups. The researcher guides the analysis by choosing the populations against which to classify the unknown, choosing from eleven population samples from the Forensic Anthropology Data Bank or twenty-eight population samples from Howells’ (1989) worldwide database. The utility and efficacy of FORDISC has been criticized for providing ‘incorrect’ classifications, however these disputed results are often due to inappropriate reference samples and failure to properly evaluate the typicality and posterior probabilities provided by the program. In this paper, unknown crania from populations known not to belong to any of the reference samples will be analyzed, demonstrating the interpretation of posterior and typicality probabilities provided in the FORDISC output and the importance of the use of an appropriate reference sample.

An application of ancient DNA analysis to an early Byzantine monastic community.

A.M. French et al.

The degree of contact among ancient populations and the extent of human historical movement have long been topics of interest and debate. While archaeological, linguistic, and textual evidence provide much information on historical patterns of migration, the record is often incomplete. A combination of biological and historical data and the introduction of methods such as ancient DNA analysis provide a more complete picture of historical migration patterns. Populations from the early Byzantine period (5th – 7th c. C.E.), when cultural and probably biological interaction among peoples of different geographic regions was common, are especially appropriate for such an analysis. An examination of genetic material from adult and subadult remains at St. Stephen’s, a Byzantine monastery in Jerusalem, has proven particularly useful in revealing some patterns of migration during the Byzantine period.

In this study, levels of genetic heterogeneity of mitochondrial DNA both within and between the subadult and adult populations at St. Stephen’s are examined to determine the likelihood that the individuals were members of the same genetic population. As many of the subadults are too young to be pilgrims they are, most likely, representative of the local region. Additionally, the sequences from the St. Stephen’s collection are compared with genetic data from worldwide populations in order to determine the most likely place(s) of origin for members of the St. Stephen’s assemblage. The genetic data, in conjunction with textual and archaeological evidence, illuminates some patterns of population movement during the Early Byzantine era into Jerusalem, especially those associated with ecclesiastical institutions.

A measure of biological distance in Nubians: a look at intrapopulation variation.

K. Godde. California State University, Sacramento.

Biological distance studies typically measure the genetic distance between populations. However, little has been done to assess the distance within specific populations. This study looked at six subpopulations of Nubians separated geographically and/or temporally to determine if variability within populations was statistically significant. In order to measure this, twenty nonmetric traits were observed on a total of 319 skulls, representing three temporally distinct periods from Semna South, including the Meroitic, X-Group, and Christian eras. Tsuneko Hanihara provided data on 180 additional crania (personal communication) from three other Nubian subpopulations that were spatially and temporally distinct from the other groups. These data were from the sites of Kerma (12th –13th dynasty), Sesebi (recent population), and the islands of Hesa and Biga (pre-Christian). All six subpopulations were compared to one another using Mean Measure of Divergence (MMD), its variance, standard deviation and the standardized MMD. The results of the statistical analysis showed that there was little variability between most of the samples. However, the MMD results of the Meroitics and Hesa and Biga were only .01 away from being statistically significant at the .05 level. Additionally, the difference between Kerma and the Meroitics was statistically significant at the .05 level. These samples were not separated by the greatest amount of geographic or temporal distance, and thus these explanations cannot completely account for the difference. In light of this study, further analysis should address whether it is necessary to separate highly variable subpopulations when attempting to measure biological distance on a global scale.

Variation in the juvenile craniofacial form: a pilot study.

R.A. Gonzalez

Much research has been conducted in the area of age determination of juvenile skeletal remains for biological profiling purposes within a medico-legal context. However, the ability to determine sex and group affiliation from juvenile skeletons is limited and often unreliable (Kerley, 1976). In fact, identifying sex and group specific differences with any degree of reliability is one of the major problems in the analysis of juvenile skeletal remains (Scheuer and Black, 2000).

This pilot study presents initial findings of human variation as expressed in the juvenile craniofacial form. A sample of 28 groups divided according to age, sex, and group affiliation was studied utilizing 22 common cephalometric measurements of American children of African and European descent. A glm manova procedure and principal component analysis served to test for the presence of sex and group specific features in the juvenile craniofacial skeleton throughout development.

The findings of this initial investigation demonstrate a statistically meaningful sex and group specific pattern of size and shape differences throughout development. Additionally, this study suggests that for each age group category utilized in the analysis, ages 6-12, it is possible to clearly identify the sex and group affiliation of juvenile skeletal remains for forensic biological profiling purposes. If the preliminary results are correct, then this investigation provides evidence of morphological differences that can be accurately identified throughout craniofacial development. These findings provide the basis for future research in which this investigator will use to develop biological profiling standards for juvenile skeletal remains.

Sequence data from the autosomes and X chromosome: Evidence for ancient admixture in the history of H. sapiens?

M.F. Hammer et al.

A longstanding question in anthropology asks whether the history of our species is characterized by an expansion from an isolated panmictic population with complete replacement of archaic forms, or by admixture among divergent allotaxa. While mtDNA data support a recent and complete replacement model, nuclear loci present a more complicated picture. Two major problems associated with interpreting the heterogeneous patterns of variation observed at multiple nuclear loci are that sampling procedures vary across studies, and experimental designs generally lack statistical power to detect archaic admixture. We are undertaking a systematic survey of DNA sequence variation at 90 unlinked nuclear loci and developing a statistical framework (to be presented by Jeff Wall) to explicitly test the hypothesis of no admixture between modern and archaic forms, and for estimating the admixture ratio (if the null hypothesis is rejected). Our approach involves sequencing three windows of ~2 kb spanning ~16 kb at each locus in a panel of 90 individuals from 6 populations. Preliminary data from two loci that show evidence of ancient admixture will be discussed. A gene tree constructed from sequence data at the first locus roots in East Asia and has a most recent common ancestor ~2 million YBP. The pattern of nucleotide variation at the second locus reveals two major lineages that have not undergone recombination for over 2 million years, and statistically rejects the null hypothesis of panmixia during the early ancestry of modern humans.

MtDNA variation in North, East, and Central African populations gives clues to a possible back-migration from the Middle East.


A.D. Holden et al.

The general timeline for human occupation of Africa has been studied extensively. However, questions involving Upper Palaeolithic migrations still persist. One remaining question is the presence of the mitochondrial M1 haplogroup in North and East Africa. Some (Quintana-Murci et al. 2004, 1999) argue that the presence of M1 in modern Africans is a remnant of the original M haplogroup that left Africa 60 kya via the Horn of Africa. Others (Forster, 2004) propose that it is instead the result of a back-migration from the Arabian Peninsula from 20 kya. This research aims to test these two competing hypotheses.

We analysed mtDNA variation in ~250 persons from Libya, Somalia, and Congo/Zambia, as representatives of the three regions of interest. Our initial results indicate a sharp cline in M1 frequencies that generally does not extend into sub-Saharan Africa. While our North and especially East African samples contained frequencies of M1 over 20%, our sub-Saharan samples consisted almost entirely of the L1 or L2 haplogroups only. In addition, there existed a significant amount of homogeneity within the M1 haplogroup.

This sharp cline indicates a history of little admixture between these regions. This could imply a more recent ancestry for M1 in Africa, as older lineages are more diverse and widespread by nature, and may be an indication of a back-migration into Africa from the Middle East. Further research on this topic includes more extensive population samples from the Middle East, as well as possible correlations of M1 to the Afro-Asiatic language family.

Rejection of isolation by distance for human gene geography and suggested alternatives.


K. Hunley et al.

Isolation by distance population structure is tested for the worldwide pattern of human genetic diversity using a large short tandem repeat (STR) data set (Cann et al., 2002, Science, 298: 261-2). A subset of 27 populations, chosen on the basis sample size, was analyzed. Each individual was represented by 377 autosomal short tandem repeat (STR) genotypes. Malecot’s genetic kinship was calculated between population pairs. Scatterplots and regression methods were applied analyze the relationship between genetic kinship and geographic distance.

All African/non-African population pairs show about the same degree of genetic kinship, regardless of geographic distance. European/non-European comparisons show two strata of genetic kinship. The first stratum presents European/African pairs, while the second stratum contains European/Asian and European/Native American pairs. There is no trend for genetic kinship to decrease with increasing geographic distance. Finally, comparisons between Asian with non-Asian samples reveal three strata, the first stratum includes Asian/African pairs, the second stratum includes Asian/European pairs, and the third stratum includes Asian/Native American pairs. The pattern is remarkable. Rather than isolation by distance, it reflects a pattern of nested subsets. Non-Africans possess a subset of the variation in Africans; Asians and Native Americans possess a subset of the variation in Non-Africans; and Native Americans possess a subset of the variation in Asians. The nested subset pattern of genetic diversity is consistent with a model that postulates a succession of ancient founder events that occurred as the human species expanded its range and occupied new continents.

The relationship between a quantitative measure of facial harmony and subjective measures of facial attractiveness.

P.L. Jamison et al.

The craniofacial variability index (CVI) summarizes the variation in Z-scores across a set of sixteen common craniofacial measurements and can be used as a measure of facial harmony. Previously we have shown that high values of this summary statistic correlate strongly with individuals known to have congenital craniofacial syndromes. In the present study we hypothesized that low values of this measure correlate with attractive or harmonious faces. The CVI was calculated for 205 adult females who had previously been ranked for attractiveness using a panel of male and female judges. The judges used a seven point Likert scale to rate each subject from above average in appearance to below average in appearance. Mean ranking scores for each subject were then used to create three groups, above average (n-34), average (n=145), and below average (n=21). ANOVA demonstrated significant differences in CVI scores of the three groups and Bonferroni post hoc tests revealed that the subjects in the “above average” group had significantly lower CVI scores than the subjects in the other two groups. Mean CVI did not differ significantly between the average and below average groups. These results indicate that the CVI is an effective measure of facial harmony and suggest that it may be a useful tool in testing some of the hypotheses that have been put forward regarding physical attractiveness and reproductive fitness.

Environmental variability, life history tactics, and the Neanderthal extinction.

J.H. Jones

In this paper, I use the demographic theory for structured populations in variable environments to shed light on the demise of the Neanderthals. Humans are – and probably most hominins were – characterized by highly structured life cycles. That is, age-specific schedules of reproductive investment are far from constant across the life cycle. In the presence of environmental variability, this structure induces correlations in vital rates across environments that can fundamentally alter optimal life history tactics. I present stochastic models of human population dynamics in a variety of stochastic environments showing that, in general, increased variability favors (1) delayed age at maturity and (2) long reproductive span. Recent histological analyses of Neanderthal teeth suggest their age at maturity was significantly earlier than that of anatomically modern humans. I show that under a reasonable range of demographic schedules, this early age at maturity would have increased the probability of extinction of Neanderthal populations under the right environmental conditions. Drawing upon Pleistocene temperature proxy data from the Greenland Ice Core Project, I show that high-frequency fluctuations increased significantly in the period more or less coincident with the disappearance of Neanderthals, consistent with this hypothesis. These results suggest the possibility that Neanderthal extinction was driven by intrinsic features of their biology and not through competition with anatomically modern humans.

Population expansions in South Indian caste and tribal populations: inferences from genetic data.


L.B. Jorde et al.

The origins and affinities of Hindu caste populations remain poorly understood. To investigate the relationships between Hindu caste populations, Indian tribal populations, and other populations, we have genotyped 45 short tandem repeat polymorphisms (STRPs) in 151 members of tribal populations and 437 members of caste populations from South India. These same STRPs have also been assayed in 142 Africans, 117 Europeans, and 61 East Asians. STRP heterozygosity was quite similar among all caste populations, with an average of 69%. The average heterozygosity among tribal groups was somewhat lower (66%), and it varied considerably among populations, with a range of 54% to 74%. The Fst value for the caste populations was relatively small (0.9), but the Fst value for the tribal populations (4.8%) was slightly higher than for our collection of sub-Saharan African populations (3.7%). Genetic distance analyses show that the caste and tribal populations occupy a position intermediate between E. Asian and European populations, as expected. In marked contrast to the caste populations, several of the tribal populations (Yanadi, Kattuniaken, Paniyan, and Chenchu) are extreme outliers on a neighbor-joining tree. These results are all highly similar using either STRPs or Alu insertion polymorphisms, and they are consistent with a much higher rate of genetic drift in the tribal populations than in caste populations. The matrix coalescent approach was applied to these data to estimate population growth parameters in caste vs. tribal populations, and these results will be discussed.

Mitochondrial DNA variation among populations of Mesoamerica and the American Southwest: Does Uto-Aztecan represent a biological unit?

B.M. Kemp et al.

Anthropologists have long noted the archaeological, cultural, and linguistic parallels between indigenous populations residing in Mesoamerica and the American Southwest. The most notable ties are the northward spread of agriculture from central Mexico into the Southwest and the presence of Uto-Aztecan speaking populations in both regions. Thus, it has been suggested that proto-Uto-Aztecan speakers were responsible for the spread of agriculture, possibly taking the form of a northward human migration. If true, Uto-Aztecan speakers from both areas should be more genetically related than they are to non-Uto-Aztecan speaking populations, regardless of geographic location.

This hypothesis was evaluated by assigning the mtDNA of over 900 individuals from fourteen extant populations (Uto-Aztecan and non-Uto-Aztecan from the Southwest and Mesoamerica) and one pre-Columbian population (Aztecs from Tlatelolco, Mexico) to one of the five Native American haplogroups: A, B, C, D, or X. These data exhibit a pattern of regional continuity and, therefore, substantial difference between regions. Additionally, the haplotypes (from the sequence of hypervariable regions I, II, and III) of over 700 of these individuals were identified. Analyses of these data demonstrate that very few maternal lineages are shared between populations and network analyses demonstrate that the majority of clades are geographic, not linguistic. The patterning of mtDNA variation suggests these regional genetic differences are of great antiquity and opposes an accompanying human migration with the spread of agriculture. We, however, point out alternative possibilities not covered by our investigation, but that are currently being tested by other colleagues.

Comparison of genetic and linguistic phylogenetic reconstructions as a means of investigating the evolution of the Semitic language family.

A. Kitchen et al.

Inference of the history of the Semitic language family has long been controversial. In order to address this problem, we have taken an interdisciplinary approach in which genetic and linguistic evolutionary relationships are compared through independent phylogenetic reconstructions of genetic and lexical data.

Our phylogenetic analyses of genetic data (mitochondrial control region DNA sequence from three Semitic-speaking populations) demonstrates that Ethiopic Semitic populations are basal relative to non-African Semitic-speakers. While greater antiquity of African populations relative to non-Africans is not surprising, genetic diversity has never been explicitly compared between African and non-African Semitic-speakers. This result suggests that if Ethiopian Semitic did originate in Arabia, it may have been introduced to Ethiopia in the absence of significant gene flow from a less diverse and evolutionary younger non-African population.

Concurrent analysis of lexical data (Bender’s modification of Swadesh’ 100-word lists for 15 Ethio-Semitic populations) using phylogenetic techniques borrowed from evolutionary systematics allows us to contrast population history, gene-flow and linguistic evolution within Semitic populations. Applying maximum parsimony and distance phylogenetic reconstruction methods to our lexical dataset, and comparing the resulting lexical and genetic phylogenies, we test alternative hypotheses of Ethio-Semitic language evolution. Our results largely support Bender's original classificatory scheme of Ethio-Semitic languages. Comparative analyses of genetic and linguistic phylogenetic reconstructions of Semitic-speaking populations should help resolve questions concerning the genetic and geographic origin of the language family.

Polygenotype-environment interaction and the Boas immigrant data.

L.W. Konigsberg et al.

The Boas immigrant dataset has recently seen a resurgence of interest, with a number of studies published using methods not available to Boas in the pre-computer era. These analyses have tended to take alternative views on the importance of polygenotypic effects as versus environmental plasticity. In this paper we re-analyze the Boas dataset with an eye to characterizing the effect of polygenotype-environment interaction on the cephalic index.

We use data on 13,732 individuals taken from Clarence Gravlee’s website (http://lance.qualquant.net/boas/data.htm). Treating the data as composed of many unrelated families and controlling for age at measurement and immigration status we estimate a narrow sense heritability for the cephalic index of about 0.74. This figure is an overestimate because it does not account for the different familial ancestries. Allowing for the original seven groups defined in Boas’s study, the within-group heritabilities are substantially lower with none reaching above 0.60. This analysis shows that we cannot ignore the existence of group-structure in the Boas data, for to do so causes cephalic index to look “more genetic” (because of increasing the genetic variation around a grand mean). Neither can we ignore the effect of the environment, for as Boas and subsequent studies (as well as this one) amply demonstrate, groups’ cephalic indexes are subject to differential responses following immigration to the United States. Consequently, the Boas data do not tell us whether cephalic index is about genes versus environment, but rather that the index is about genes and the environment.

Grandma’s right: A sleeping baby may be a growing baby.

M. Lampl

The irregularity of infant sleeping behavior is a significant biocultural issue, with much advice-seeking and offering with little scientific basis. This study aimed to investigate whether infant sleep patterns were a biobehavioral indicator of growth. Three independent statistical methods were used to test the hypothesis that the irregular increases and decreases in infant sleeping behaviors were related to episodic (saltatory) spurts in infant body length growth. Detailed daily diaries recorded the continuous patterns of sleep for twenty-four infants (15 females, 9 males) during the first year of life for durations of 4 to 12 months (n= 5660 daily records). Total daily hours of sleep and number of episodes were the variables studied. A pulse detection algorithm (CLUSTER) clarified that infant sleep irregularity consisted of sleeping peaks and troughs for all infants with an average of 4.7 more hours and/or 3 more naps per day for two days during peaks. These patterns were compared to previously identified growth spurts in body length by coincident analysis. Significant nonrandom copulsatility was identified between the two independently collected data sets (physical growth and sleep patterns) suggesting that daily sleeping behavior and growth in infant body length are a coupled biological process. Maximum likelihood logistic regression models quantified a 25% increased likelihood of a growth spurt for each hour the infants slept above their non-growth interval sleeping averages.

These data link behavioral state changes and the biological mechanisms underlying the timing and control of human growth spurts, adding growth biology to the enigmatic question of “why do we sleep?”

Changes in sexual dimorphism in Europeans in the last 30,000 years.

S.-H. Lee ET AL.

In Europe, sexual dimorphism decreased from the Upper Paleolithic through the Mesolithic followed by a slight increase from the Mesolithic to the Neolithic. In all, the level of sexual dimorphism typical of recent Europeans was reached by the end of the Neolithic. Earlier work (Frayer, 1980) documented these trends by plotting means in sexual dimorphism in dental, cranial and postcranial metrics for the three periods, attributing the reduction trend to greater gracilization in males from the Upper Paleolithic to the Mesolithic. The subsequent increase in sexual dimorphism was a result of stabilization of the male trend, coupled with a decrease in female metrics from the Mesolithic to the Neolithic.

The previous study was conducted by pooling data into three time periods and testing for differences across these divisions. In this study, the pattern of gracilization over time was examined by tracking male and female metrics separately through the entire time span. Here, we treat the time period as a continuous sample and use an updated data set to address two questions: 1) the pattern of change in sexual dimorphism; and 2) the contribution of changes in each sex over time to the observed pattern of variation. We apply a data re-sampling approach and ask if changes occurred gradually through the 30,000 year time span. Our results confirm earlier work, but deepen the understanding of the temporal patterning of trends of sexual dimorphism in post-Neandertal European populations.

Predictions of isolation by distance and alternatives for human gene geography.

J.C. Long et al.

Many human genetic examples of correlations between genetic and geographic distances are attributed to isolation by distance, meaning a population structure where the reproductive dispersal of individuals is restricted relative to the range of the entire population. Wright, Malecot, Kimura, and Slatkin have developed the rigorous genetic theory of isolation by distance. While each architect of the theory has developed a slightly different version, the common result is that at equilibrium there is a titration between genetic differentiation and the geographic distance between localities. Isolation by distance implies for the human data that genetic drift and local dispersal have shaped the genetic structure of our species.

Alternatively, other mechanisms such as a step-wise range expansion can create a correlation between genetic and geographic distance. In this circumstance, the correlation between genetic and geographic distance does not reflect local dispersal. Rather, it reproduces the migration paths and succession of founder events that occurred during the process of range expansion.

The purpose of this paper is to show how hierarchical F-statistics can distinguish between these two alternative population structures. Computer simulations are used to illustrate the approach and potential outcomes. We use these simulations to determine the number of genetic loci that must be assayed in order to reliably distinguish patterns of genetic divergence. In addition, we explore the effect of systematic sampling biases such as sampling clusters of widely dispersed populations on the outcome of analyses.

Analysis of mtDNA haplogroup monomorphism in a sample of a Native American population combining modern and ancient DNA research.


E. Marchani et al.

We observe a lack of mitochondrial haplogroup variation not only among modern Eastern Inuit, but also among their ancestors, the Thule. Both groups possess haplogroup A exclusively, in contrast to other Native American groups, who possess some combination of haplogroups A, B, C, D, and X.

This lack of variation might have been caused by genetic drift, given a recent history of small effective population size. This hypothesis seems plausible, given archaeological evidence that the Thule expanded rapidly across the far north approximately 1000 years ago from a relatively small founding population. Here, we ask what hypotheses about population history can be excluded on the basis of the observed absence of mitochondrial haplogroup variation.

We test hypotheses about population history using coalescent simulations. We are able to exclude hypotheses of a bottleneck in the distant past, while we are not able to reject hypotheses of a bottleneck within the recent past. Our results both describe and help to explain the demographic and biological processes that result in the unique phenomenon of mitochondrial haplogroup monomorphism.

Population structure in sub-Saharan Africans based on mitochondrial, Y chromosomal and X chromosomal DNA sequences.

M. Metni Pilkington et al.

Africans harbor the greatest genetic diversity, the deepest TMRCA estimates, and the largest effective population size of humans. Here we ask whether the large effective population size is associated with a highly structured population and how population structure compares across loci. We address these questions using DNA sequence data from the mitochondrial (mtDNA) COIII locus, anonymous sequences from the non-recombining portion of the Y chromosome (NRY), and two X chromosomal genes (PDHA1 and RRM2P4). A total of 13.8 kb of DNA sequence was examined in each of 160 individuals from five geographically diverse African populations: the Dinka of Sudan, the Dogon of Mali, the Bakola of Cameroon, and the Khoisan and southeast Bantu from southern Africa.

Estimates of subdivision based on mtDNA and the NRY reveal relatively high levels of population differentiation (FST = 0.284 and 0.236, respectively). Similar levels of population structure for these loci provides no evidence for sex-specific differences in migration rate among these populations. These FST values are only ~20-30% higher than we observe for the same loci sampled in six non-African populations (data not shown). FST values based on the two X chromosome loci (PDHA1 and RRM2P4) were lower (FST = 0.090 and 0.073), but not unexpected because of their 3-fold higher effective population size compared with the haploid loci. These results may be explained by a long period of ongoing gene flow among widely scattered African populations.

Quantitative analysis of modern human and fossil mandibles using 3-D geometric morphometrics.

E. Nicholson et al.

The study of the human mandible has been relatively neglected in comparison to the cranium. Mandibular morphology is often thought to reflect function and not to contain phylogenetic information. Previous descriptions show variation in ramal height and breadth to be the strongest difference among recent human groups. Populations also are thought to vary in corpus robusticity, obliqueness of the ramus, sigmoid notch depth, bicondylar breadth and mental foramen position. Several mandibular traits are believed to differentiate Neanderthals from modern humans: greater robusticity, a receding symphysis, a large retromolar space, a rounder gonial area, an asymmetric sigmoid notch and a posteriorly positioned mental foramen in Neanderthals.

This study quantitatively evaluated some of the proposed differences among modern human groups and between modern and fossil humans and explored these differences to test phylogenetic and functional hypotheses. 28 landmarks were digitized on 134 modern human mandibles from 10 geographic populations. 13 fossil specimens from Europe, the Near East and Africa were also measured. Data were collected with a Microscribe 3DX. A GPA was performed in Morpheus. The fitted coordinates were analyzed in SAS using PCA, CVA, Mahalanobis D2 and Discriminant Analysis. Shape differences were explored using Morphologika.

Modern human mandibular shape shows some geographic patterning. Australians, Polynesians and, to a lesser extent, the Arctic population, are most distinct. Most shape differences between fossil and modern groups, but not among modern humans, are related to differences in centroid size. Functional implications are explored.

Using measures of locus-specific differentiation to find genes underlying traits subject to recent genetic adaptation: a test case using skin pigmentation.

H. Norton et al.

A number of DNA sequence-based statistics are available to identify signatures of natural selection. However, sequencing large numbers of individuals across multiple genes can be costly and time consuming. An alternate method that uses allele frequency data has received less attention, but may be more efficient for large screening studies. This method is based on the idea that demographic events affect loci across the genome equally, while adaptation affects individual genes and nearby markers. We have applied the locus-specific pairwise FST (lspFST) to survey seven pigmentation candidate genes from six geographically diverse populations. Using the allele frequencies at these genes, we calculated the lspFST statistic and compared it to an empirical distribution based on 11,078 SNPs analyzed in the same populations. With this comparison we are able to take into consideration the demographic histories of the populations and calculate likelihoods of the data given neutral evolution. Several pigmentation candidate genes show evidence of non-neutral patterns of differentiation. Interestingly, population differentiation at pigmentation candidate SNPs was observed both for populations differing in pigmentation phenotype (ASIP and OCA2), as well as for populations similar in pigmentation phenotype (TYR). Additionally, SNPs in MATP show high levels of European-specific population differentiation. These results suggest a strong role for natural (and/or sexual) selection in shaping human pigmentation variation. Patterns of allele frequency and lspFST variation at TYR and MATP between Europeans and East Asians raise the possibility that natural selection may have acted on different alleles to produce a similar adaptive phenotype in these populations.

The effect of breastfeeding intensity on bone mineral density.

K. Pearce. University of Massachusetts, Amherst.

Breastfeeding women from Massachusetts (n=35) participated in a study measuring the effect of breastfeeding variation on BMD. Breastfeeding diaries and repeated measures of BMD (DEXA) were used to categorize breastfeeding intensity and changes in BMD throughout the postpartum period. Women entered the study between 2 weeks and 3 years postpartum. The central hypothesis tested was whether variation in breastfeeding intensity affected the rate of change in BMD during lactational amenorrhea (LA) and/or after menses resumed. Multilevel modeling was used to interpret the data. Repeated BMD measures were viewed as nested within individuals. Individuals were nested within groups based on breastfeeding intensity (low, medium-low, medium-high, or high), calcium intake (low or high), and familial history of osteoporosis (yes or no). Results show that BMD decreased during lactation and increased after menses resumed. High breastfeeding intensity had a greater effect on the increase of BMD after menses returned than it had on the loss of bone during LA. High intensity was associated with a .04 g/cm2 increase in BMD (t = 24.1, p=.000) for every three months of post-menses breastfeeding. The same level of breastfeeding intensity during LA was associated with a decrease of .01 g/cm2 BMD, also statistically significant (t = 4.3, p=.01). This study suggests that high intensity post-menses breastfeeding may be an important factor in attaining a net gain in BMD during lactation, with implications for osteoporosis studies of contemporary women and archaeological populations.


Demographic and selective history of African populations inferred from genome wide genetic markers.

F.A. Reed et al.

In collaboration with the Marshfield Medical Research Foundation, a large multi-locus dataset (>2,000,000 genotypes) has been generated from 1,070 microsatellite and in/del markers from ~2,000 individuals originating from >60 ethnically defined populations in Africa and in 100 African Americans. This resource has the potential to answer many questions about the history of humans both within Africa as well as history of the African diaspora into the Americas. These data have been compared to previously published analysis of the same markers in the CEPH diversity panel (Rosenberg et al., 2002). Here we present the results of our analysis of population structure within Africa and African population history. Initial results indicate considerable levels of substructure, even within small geographic regions. We are also able to infer and address several hypotheses regarding the origin of Pygmy populations in Africa, as well as the ancestry of Nilo-Saharan, Niger-Kordofanian, Afro-Asiatic, and Khoisan speaking populations. Additionally, we describe our current efforts at developing acceptance-rejection composite likelihood-approximations to estimate parameters of interest (of demography and selection) from these microsatellite data.

The distribution of ancestral alleles among populations.

A.R. Rogers et al.

The “ancestral allele” at a given locus is the allele thought to have been carried by the last common ancestor (LCA) of all humans. These are only estimates, of course, but they are often relatively good ones. Thus, it is interesting that human ancestral alleles are usually most common in Africa. Some claim that the ancestral allele should be most common in Africa, because it is the ancestral population. We argue otherwise. In the absence of selection or ascertainment bias, the expected frequency of the ancestral allele is the same in each modern population, regardless of the history of population size, subdivision, or gene flow. The observed tendency of ancestral alleles to cluster in Africa argues either for some form of ascertainment bias or for some form of selection.
We attribute the pattern to two forms of ascertainment bias, which affect different sorts of locus. These biases, together with a history of expansion out of Africa, are capable of producing the observed pattern. The only loci that are certainly free of bias are those that sequence arbitrary stretches of DNA far from known genes. In these bias-free systems, there is no tendency for ancestral alleles to be most common in Africa.

Early South Americans in craniofacial metric perspective: Lagoa Santa.

N. Seguchi et al.

We compare the craniofacial morphology of four Sumidouro skulls and one Lund skull, representing South American Paleoindians from Lagoa Santa, Brazil, with worldwide prehistoric and recent human craniofacial metric data. Relationships in these data are illustrated using the neighbor-joining method based on a Mahalanobis distance matrix, discriminant function analysis, canonical variate plots, and posterior and typicality probabilities. We also employed Relethford and Blangero’s R matrix method (Relethford and Blangero 1990, Relethford and Harpending 1994) on the same craniofacial metric data, and generated the neighbor-joining tree and principal coordinate plot. Using Howells’ worldwide comparative dataset, Walter Neves et.al. (2003) recently suggested that Brazilian Paleoamericans probably were closely related to Australian Aborigines and Africans as opposed to Native Americans and Northeast Asians. In contrast, our preliminary results show that Lagoa Santa individuals exhibit stronger morphological affinities with prehistoric Jomon of Japan, recent Patagonia/Tierra del Fuego of South America; present day Mexico, Peru, and Archaic Americans of Windover and Indian Knoll of North America, than with our Australian sample. Moreover, Jomon, Lagoa Santa and Archaic North Americans all present a relatively close relationship, and tie consistently to each other. This suggests that the early inhabitants of South America were probably not related to Australo-Melanesians, but rather the Late Pleistocene descendents of Northeast Asia, such as Jomon. Also, they are related to the Archaic North American populations and recent central, and South Americans.

History of modern human population structure inferred from the worldwide survey on Xp11.22 sequences.

M. K. Shimada et al.

For study of human evolution, using DNA sequence data, long lengths are required because of low mutation rates. However long sequences have a higher probability that recombination has occurred in the region in the evolutionary history. On the other hand, microsatellite data have a high mutation rate but tend to have too much homoplasy. The limitations of different types of data are one reason why different studies have different conclusions regarding human evolutionary history.

We sequenced a 10.1-kilobase pair region of the X chromosome, from 650 individuals from 50 populations. The sequenced region includes two microsatellites. The conjunction of sequence variation with tightly linked microsatellite variation allows each type of data to overcome the limitations of the other.

We found very little evidence of recombination within the region. Most sequences are quite similar to one another, however three sequences differed from the others at an average of 28.6 substitutions. Assuming a molecular clock, and a human/chimpanzee divergence time of 6 million years, the estimated age of the base of the human sequences is 1.1 million years ago, whereas the estimated base of the tree excluding these divergent human sequences is 290,000 years ago. These divergent sequences were found in samples from the Middle East (Druze and Bedouin populations) and North Africa (Mozabite population). The pattern is suggestive of admixture between non-African Archaic humans and Modern Humans.

Demographic history of African populations inferred from mtDNA analysis.

S.A. Tishkoff et al.

The continent of Africa is thought to be the homeland of all modern humans; it contains the largest amount of human genetic variation, both within and between populations, and the oldest genetic lineages. We have collected an unparalleled resource of genomic DNA samples from >4000 individuals originating from ethnically defined populations across Africa. At the same time, extensive pedigree, linguistic, ethnic, geographic and physiological data was also recorded for many of these individuals. Here we describe our analysis of mtDNA variation obtained from sequencing 1200bp of the control region and genotyping 6 coding-region SNPs mtDNA analysis of a subset of coding-region SNPs in 650 ethnically diverse Tanzanians and from sequencing 40 whole mtDNA genomes (~16,000 bp/genome). We have used coalescence based maximum likelihood simulations to estimate multiple demographic parameters including historic population size, bi-directional migration, time of population divergence, and time of most recent common ancestry of DNA lineages from these data. We observe recent gene flow between populations and phylogenetic analyses show that Tanzanian mtDNA lineages form the most basal branches of the global mitochondrial tree, suggesting that the range expansion of modern humans may have originated in East Africa. Additionally, we find common ancestry of the Hadza and Sandawe Khoisan (click)-speaking populations of Tanzania and that the Sandawe have had historical gene flow and/or common ancestry with southern African !Kung San, supporting the hypothesis that Khoisan speakers may have originated in East Africa.

On the origins of strong polygyny and socially imposed monogamy in humans.

C.P. van Schaik et al.

Because humans show pair-bonding, the environmental potential for despotism is reflected in social polgyny. We first show that increased despotism is expected under a general primate model of male-male coalitions, where the egalitarian system of mobile hunter-gatherers, maintained by large-scale leveling coalitions, is replaced by a despotic system with violent, revolutionary coalitionary takeovers of top ranks. Humans also differ from the other primates in that groups are spatially subdivided, which can produce cliques or class structure. Historically, however, some societies have shown a return to more egalitarian social relationships among males. We present a concession model, in which high-ranking males recruit support from lower-ranking males by granting them more reproductive success. A critical prediction is that transitions to social monogamy or dissolution of castes are found in societies under enemy occupation or involved in a desperate war.

In this paper we investigate the importance of predators in limiting primate populations by testing the following predictions using data taken from the primate literature. First, we predict that habituated primate populations experiencing reduced predation risk due to continuous human presence increase in numbers, at least during the initial years of human presence, whereas unhabituated populations do not. Second, we predict that population densities of primate species in otherwise similar forests in which carnivore predators have disappeared should be lower than those in forests with predators. The results allow us to estimate the relative magnitude of the effect of carnivore predators on primate populations. We discuss the implications of these results for primate population ecology and conservation biology.

A mesio-buccal mandibular molar trait in ancient populations of Ireland.

J.D. Weets

In this poster, previously unpublished variation of a human dental trait in permanent mandibular molars is described. The character, presently labeled IMMP (the Irish Mandibular Molar Pit), is situated anterior to the position occupied by the protostylid on the buccal aspect of cusp 1, and is most commonly found on third molars. IMMP occurred in 32.6% of 126 lower right third molars and 28.3% of 131 lower left third molars from archaeological specimens dating to the Neolithic (c. 4000-1800 BC) through the Early Christian era (c. AD 400-1170) in Ireland. The character was tested for variation in its geographic and temporal distribution across the island. No significant differences were found in its occurrence between time periods, nor between regions of Ireland. But, a lack of significant variation between the island’s ancient populations in other dental traits has been noted by the author in further research. Interestingly, an individual Viking specimen from Ireland exhibited IMMP. Personal correspondence with another dental anthropologist suggests the trait is present, at a much lower rate of expression, in East Asian populations (approximately 1-2% of his sample). These two findings indicate a widespread geographic occurrence that prompts more investigation of IMMP in other populations. Furthermore, marked difference of expression between populations from Ireland and East Asia suggest the trait will distinguish, at the very least, distant geographical populations and may make IMMP a useful addition to the suite of morphological traits utilized by dental anthropologists in biodistancing studies.

Mitochondrial DNA Variation in Northern Altaians: affinities with Siberian and Turkic populations.

S.I. Zhadanov et al.

Altaian peoples are the descendants of ancient (non-Turkic) inhabitants of this mountainous area who mixed with various waves of Turkic speaking nomads, beginning about 2,000 years ago. They are divided into northern and southern groups that are known to be physically, culturally and linguistically distinctive. Morphologically, the Southern Altai-kizhi generally exhibit stronger affinities with Mongolian and East Asian groups, whereas Northern Altaians, including Tubalars, Chelkans and Kumandinians, show some affinities with West Eurasian and Uralic groups. Initial genetic studies involving Altai-kizhi tribes have also revealed them to have considerable genetic diversity with influences from both West and East Eurasian populations. However, Northern Altaian groups as a whole are less well genetically characterized. To clarify this pattern of biological diversity in the Altai region, we surveyed mtDNA variation in several Northern Altaians population from the Altai Republic, and compared the resulting data with the Altai-kizhi and other Siberian and Turkic speaking groups from the region. In addition, we combined the extensive genealogical and demographic data with the mtDNA data from these populations to more accurately reconstruct the prehistory of the Altai Mountain region, including the assessment of Altaian population structure as reckoned by oral histories and tribal clan (seok) membership.