A comprehensive analysis of microsatellite diversity in Aboriginal Australians

The evolution of altruism through war is highly sensitive to population structure and to civilian and fighter mortality

The importance of warfare in the evolution of human social behavior remains highly debated. One hypothesis is that intense warfare between groups favored altruism within groups, a hypothesis given some support by computational modeling and, in particular, the work of Choi and Bowles [J.-K. Choi, S. Bowles, Science 318, 636-640 (2007)]. The results of computational models are, however, sensitive to chosen parameter values and a deeper assessment of the plausibility of the parochial altruism hypothesis requires exploring this model in more detail. Here, I use a recently developed method to reexamine Choi and Bowles' model under a much broader range of conditions to those used in the original paper. Although the evolution of altruism is robust to perturbations in most of the default parameters, it is highly sensitive to group size and migration and to the lethality of war. The results show that the degree of genetic differentiation between groups (FST ) produced by Choi and Bowles' original model is much greater than empirical estimates of FST between hunter-gatherer groups. When FST in the model is close to empirically observed values, altruism does not evolve. These results cast doubt on the importance of war in the evolution of human sociality.

Antiquity and diversity of aboriginal Australian Y-chromosomes

OBJECTIVE

Understanding the origins of Aboriginal Australians is crucial in reconstructing the evolution and spread of Homo sapiens as evidence suggests they represent the descendants of the earliest group to leave Africa. This study analyzed a large sample of Y-chromosomes to answer questions relating to the migration routes of their ancestors, the age of Y-haplogroups, date of colonization, as well as the extent of male-specific variation.

METHODS

Knowledge of Y-chromosome variation among Aboriginal Australians is extremely limited. This study examined Y-SNP and Y-STR variation among 657 self-declared Aboriginal males from locations across the continent. 17 Y-STR loci and 47 Y-SNPs spanning the Y-chromosome phylogeny were typed in total.

RESULTS

The proportion of non-indigenous Y-chromosomes of assumed Eurasian origin was high, at 56%. Y lineages of indigenous Sahul origin belonged to haplogroups C-M130*(xM8,M38,M217,M347) (1%), C-M347 (19%), K-M526*(xM147,P308,P79,P261,P256,M231,M175,M45,P202) (12%), S-P308 (12%), and M-M186 (0.9%). Haplogroups C-M347, K-M526*, and S-P308 are Aboriginal Australian-specific. Dating of C-M347, K-M526*, and S-P308 indicates that all are at least 40,000 years old, confirming their long-term presence in Australia. Haplogroup C-M347 comprised at least three sub-haplogroups: C-DYS390.1del, C-M210, and the unresolved paragroup C-M347*(xDYS390.1del,M210).

CONCLUSIONS

There was some geographic structure to the Y-haplogroup variation, but most haplogroups were present throughout Australia. The age of the Australian-specific Y-haplogroups suggests New Guineans and Aboriginal Australians have been isolated for over 30,000 years, supporting findings based on mitochondrial DNA data. Our data support the hypothesis of more than one route (via New Guinea) for males entering Sahul some 50,000 years ago and give no support for colonization events during the Holocene, from either India or elsewhere.

Contextualizing Genetics for Regional Heart Failure Care

Congestive heart failure (CHF) is a chronic and often devastating cardiovascular disorder with no cure. There has been much advancement in the last two decades that has seen improvements in morbidity and mortality. Clinicians have also noted variations in the responses to therapies. More detailed observations also point to clusters of diseases, phenotypic groupings, unusual severity and the rates at which CHF occurs. Medical genetics is playing an increasingly important role in answering some of these observations. This developing field in many respects provides more information than is currently clinically applicable. This includes making sense of the established single gene mutations or uncommon private mutations. In this thematic series which discusses the many factors that could be relevant for CHF care, once established treatments are available in the communities; this section addresses a contextual role for medical genetics.

An investigation of admixture in an Australian Aboriginal Y-chromosome STR database

Y-chromosome specific STR profiling is increasingly used in forensic casework. However, the strong geographic clustering of Y haplogroups can lead to large differences in Y-STR haplotype frequencies between different ethnicities, which may have an impact on database composition in admixed populations. Aboriginal people have inhabited Australia for over 40,000 years and until ∼300 years ago they lived in almost complete isolation. Since the late 18th century Australia has experienced massive immigration, mainly from Europe, although in recent times from more widespread origins. This colonisation resulted in highly asymmetrical admixture between the immigrants and the indigenes. A State jurisdiction within Australia has created an Aboriginal Y-STR database in which assignment of ethnicity was by self-declaration. This criterion means that some males who identify culturally as members of a particular ethnic group may have a Y haplogroup characteristic of another ethnic group, as a result of admixture in their paternal line. As this may be frequent in Australia, an examination of the extent of genetic admixture within the database was performed. A Y haplogroup predictor program was first used to identify Y haplotypes that could be assigned to a European haplogroup. Of the 757 males (589 unique haplotypes), 445 (58.8%) were identified as European (354 haplotypes). The 312 non-assigned males (235 haplotypes) were then typed, in a hierarchical fashion, with a Y-SNP panel that detected the major Y haplogroups, C-S, as well as the Aboriginal subgroup of C, C4. Among these 96 males were found to have non-Aboriginal haplogroups. In total, ∼70% of Y chromosomes in the Aboriginal database could be classed as non-indigenous, with only 169 (129 unique haplotypes) or 22% of the total being associated with haplogroups denoting Aboriginal ancestry, C4 and K* or more correctly K(xL,M,N,O,P,Q,R,S). The relative frequencies of these indigenous haplogroups in South Australia (S.A.) were significantly different to those seen in samples from the Northern Territory and Western Australia. In S.A., K* (∼60%) has a much higher frequency than C4 (∼40%), and the subgroup of C4, C4(DYS390.1del), comprised only 17%. Clearly admixture in the paternal line is at high levels among males who identify themselves as Australian Aboriginals and this knowledge may have implications for the compilation and use of Y-STR databases in frequency estimates.

Genetic differentiation and the evolution of cooperation in chimpanzees and humans

It has been proposed that human cooperation is unique among animals for its scale and complexity, its altruistic nature and its occurrence among large groups of individuals that are not closely related or are even strangers. One potential solution to this puzzle is that the unique aspects of human cooperation evolved as a result of high levels of lethal competition (i.e. warfare) between genetically differentiated groups. Although between-group migration would seem to make this scenario unlikely, the plausibility of the between-group competition model has recently been supported by analyses using estimates of genetic differentiation derived from contemporary human groups hypothesized to be representative of those that existed during the time period when human cooperation evolved. Here, we examine levels of between-group genetic differentiation in a large sample of contemporary human groups selected to overcome some of the problems with earlier estimates, and compare them with those of chimpanzees. We find that our estimates of between-group genetic differentiation in contemporary humans are lower than those used in previous tests, and not higher than those of chimpanzees. Because levels of between-group competition in contemporary humans and chimpanzees are also similar, these findings suggest that the identification of other factors that differ between chimpanzees and humans may be needed to provide a compelling explanation of why humans, but not chimpanzees, display the unique features of human cooperation.

The Soliga, an isolated tribe from Southern India: genetic diversity and phylogenetic affinities

India's role in the dispersal of modern humans can be explored by investigating its oldest inhabitants: the tribal people. The Soliga people of the Biligiri Rangana Hills, a tribal community in Southern India, could be among the country's first settlers. This forest-bound, Dravidian speaking group, lives isolated, practicing subsistence-level agriculture under primitive conditions. The aim of this study is to examine the phylogenetic relationships of the Soligas in relation to 29 worldwide, geographically targeted, reference populations. For this purpose, we employed a battery of 15 hypervariable autosomal short tandem repeat loci as markers. The Soliga tribe was found to be remarkably different from other Indian populations including other southern Dravidian-speaking tribes. In contrast, the Soliga people exhibited genetic affinity to two Australian aboriginal populations. This genetic similarity could be attributed to the 'Out of Africa' migratory wave(s) along the southern coast of India that eventually reached Australia. Alternatively, the observed genetic affinity may be explained by more recent migrations from the Indian subcontinent into Australia.

Did warfare among ancestral hunter-gatherers affect the evolution of human social behaviors?

Since Darwin, intergroup hostilities have figured prominently in explanations of the evolution of human social behavior. Yet whether ancestral humans were largely "peaceful" or "warlike" remains controversial. I ask a more precise question: If more cooperative groups were more likely to prevail in conflicts with other groups, was the level of intergroup violence sufficient to influence the evolution of human social behavior? Using a model of the evolutionary impact of between-group competition and a new data set that combines archaeological evidence on causes of death during the Late Pleistocene and early Holocene with ethnographic and historical reports on hunter-gatherer populations, I find that the estimated level of mortality in intergroup conflicts would have had substantial effects, allowing the proliferation of group-beneficial behaviors that were quite costly to the individual altruist.

South Australian Aboriginal sub-population data for the nine AMPFlSTR Profiler Plus short tandem repeat (STR) loci

The weighting of DNA evidence can be estimated using various models. Each model relies on allele frequencies, which are obtained from data accumulated in a population database. This report analyses sub-population data for 325 Aboriginal Australian residents of South Australia at nine autosomal Profiler Plus short tandem repeat (STR) loci.

Use of subpopulation data in Australian forensic DNA casework

DNA profiling evidence presented in court should be accompanied by a reliable estimate of its evidential weight. In calculating such statistics, allele frequencies from commonly employed autosomal microsatellite loci are required. These allele frequencies should be collected at a level that appropriately represents the genetic diversity that exists in the population. Typically this occurs at broadly defined bio-geographic categories, such as Caucasian or Asian. Datasets are commonly administered at the jurisdictional level. This paper focuses on Australian jurisdictions and assesses whether this current practice is appropriate for Aboriginal Australian and Caucasian populations alike. In keeping with other studies we observe negligible differences between Caucasian populations within Australia when segregated geographically. However segregation of Aboriginal Australian population data along contemporary State and Territory lines appears to mask the diversity that exists within this subpopulation. For this reason datasets collated along more traditional lines may be more appropriate, particularly to distinguish the most genetically differentiated populations residing in the north of the continent.