Genomics refutes an exclusively African origin of humans

Going east: new genetic and archaeological perspectives on the modern human colonization of Eurasia

The pattern of dispersal of biologically and behaviorally modern human populations from their African origins to the rest of the occupied world between approximately 60,000 and 40,000 years ago is at present a topic of lively debate, centering principally on the issue of single versus multiple dispersals. Here I argue that the archaeological and genetic evidence points to a single successful dispersal event, which took genetically and culturally modern populations fairly rapidly across southern and southeastern Asia into Australasia, and with only a secondary and later dispersal into Europe.

Haplotype trees and modern human origins

A haplotype is a multisite haploid genotype at two or more polymorphic sites on the same chromosome in a defined DNA region. An evolutionary tree of the haplotypes can be estimated if the DNA region had little to no recombination. Haplotype trees can be used to reconstruct past human gene-flow patterns and historical events, but any single tree captures only a small portion of evolutionary history, and is subject to error. A fuller view of human evolution requires multiple DNA regions, and errors can be minimized by cross-validating inferences across loci. An analysis of 25 DNA regions reveals an out-of-Africa expansion event at 1.9 million years ago. Gene flow with isolation by distance was established between African and Eurasian populations by about 1.5 million years ago, with no detectable interruptions since. A second out-of-Africa expansion occurred about 700,000 years ago, and involved interbreeding with at least some Eurasian populations. A third out-of-Africa event occurred around 100,000 years ago, and was also characterized by interbreeding, with the hypothesis of a total Eurasian replacement strongly rejected (P < 10(-17)). This does not preclude the possibility that some Eurasian populations could have been replaced, and the status of Neanderthals is indecisive. Demographic inferences from haplotype trees have been inconsistent, so few definitive conclusions can be made at this time. Haplotype trees from human parasites offer additional insights into human evolution and raise the possibility of an Asian isolate of humanity, but once again not in a definitive fashion. Haplotype trees can also indicate which genes were subject to positive selection in the lineage leading to modern humans. Genetics provides many insights into human evolution, but those insights need to be integrated with fossil and archaeological data to yield a fuller picture of the origin of modern humans.

Nucleotide variation and haplotype diversity in a 10-kb noncoding region in three continental human populations

Noncoding regions are usually less subject to natural selection than coding regions and so may be more useful for studying human evolution. The recent surveys of worldwide DNA variation in four 10-kb noncoding regions revealed many interesting but also some incongruent patterns. Here we studied another 10-kb noncoding region, which is in 6p22. Sixty-six single-nucleotide polymorphisms were found among the 122 worldwide human sequences, resulting in 46 genotypes, from which 48 haplotypes were inferred. The distribution patterns of DNA variation, genotypes, and haplotypes suggest rapid population expansion in relatively recent times. The levels of polymorphism within human populations and divergence between humans and chimpanzees at this locus were generally similar to those for the other four noncoding regions. Fu and Li's tests rejected the neutrality assumption in the total sample and in the African sample but Tajima's test did not reject neutrality. A detailed examination of the contributions of various types of mutations to the parameters used in the neutrality tests clarified the discrepancy between these test results. The age estimates suggest a relatively young history in this region. Combining three autosomal noncoding regions, we estimated the long-term effective population size of humans to be 11,000 +/- 2800 using Tajima's estimator and 17,600 +/- 4700 using Watterson's estimator and the age of the most recent common ancestor to be 860,000 +/- 258,000 years ago.

Interrogating multiple aspects of variation in a full resequencing data set to infer human population size changes

We present an expanded data set of 50 unlinked autosomal noncoding regions, resequenced in samples of Hausa from Cameroon, Italians, and Chinese. We use these data to make inferences about human demographic history by using a technique that combines multiple aspects of genetic data, including levels of polymorphism, the allele frequency spectrum, and linkage disequilibrium. We explore an extensive range of demographic parameters and demonstrate that our method of combining multiple aspects of the data results in a significant reduction of the compatible parameter space. In agreement with previous reports, we find that the Hausa data are compatible with demographic equilibrium as well as a set of recent population expansion models. In contrast to the Hausa, when multiple aspects of the data are considered jointly, the non-Africans depart from an equilibrium model of constant population size and are compatible with a range of simple bottleneck models, including a 50-90% reduction in effective population size occurring some time after the appearance of modern humans in Africa 160,000-120,000 years ago.

The fate of mutations surfing on the wave of a range expansion

Many species, including humans, have dramatically expanded their range in the past, and such range expansions had certainly an impact on their genetic diversity. For example, mutations arising in populations at the edge of a range expansion can sometimes surf on the wave of advance and thus reach a larger spatial distribution and a much higher frequency than would be expected in stationary populations. We study here this surfing phenomenon in more detail, by performing extensive computer simulations under a two-dimensional stepping-stone model. We find that the probability of survival of a new mutation depends to a large degree on its proximity to the edge of the wave. Demographic factors such as deme size, migration rate, and local growth rate also influence the fate of these new mutations. We also find that the final spatial and frequency distributions depend on the local deme size of a subdivided population. This latter result is discussed in the light of human expansions in Europe as it should allow one to distinguish between mutations having spread with Paleolithic or Neolithic expansions. By favoring the spread of new mutations, a consequence of the surfing phenomenon is to increase the rate of evolution of spatially expanding populations.