尼安德特人基因组学研究进展

尼安德特人是现代人最近的旁支,也是化石资料最丰富的古人类。在现代人起源问题的争论中,尼安德特人对现代人是否有遗传贡献是一个焦点问题。文章综述了近年来关于尼安德特人线粒体基因组和核基因组的研究进展,初步研究表明尼安德特人可能对现代人有遗传贡献,这引发了人们对现代人起源问题的重新思考。藉尼人基因组研究经验进行的古人类基因组学研究将有望揭开现代人起源的谜团,并丰富进化生物学相关领域的理论体系。     

Do modern humans and Neandertals have different patterns of cranial integration?

Studies of cranial differences between modern humans and Neandertals have identified several characteristics for which the two groups differ in their mean values, the proportional relationships with other traits, or both. However, the limited number of fairly complete Neandertals has hindered investigations into patterns of integration – covariance and correlation among traits – in this fossil group. Here, we use multiple approaches specifically designed to deal with fragmentary fossils to test if metric cranial traits in Neandertals fit modern human patterns of integration. Based on 37 traits collected from a sample of 2524 modern humans from Howells’ data set and 20 Neandertals, we show that overall patterns of cranial integration are significantly different between Neandertals and modern humans. However, at the same time, Neandertals are consistent with a modern human pattern of integration for more than three-quarters of the traits. Additionally, the differences between the predicted and actual values for the deviating traits are rather small, indicating that the differences in integration are subtle. Traits for which Neandertals deviate from modern human integration patterns tend to be found in regions where Neandertals and modern humans are known to also differ in their mean values. We conclude that the evolution of patterns of cranial integration is a cause for caution but also presents an opportunity for understanding cranial differences between modern humans and Neandertals.     

The role of the Y chromosome in human evolutionary studies

Analyses of molecular genetic data have added a new dimension to human evolutionary research. Pioneering studies of variation in human populations were based on analyses of blood groups¹ and electromorphs,² both of which represent qualitative multistate phenotypes. With the development of recombinant DNA methods in the 1970s and 1980s, the focus shifted from gene products to a new and plentiful source of human variability, restriction fragment length polymorphisms (RFLPs).^3,4 Finally, the addition of DNA sequencining survey data to the rapidly growing RFLP data base made it feasible for the first time to determine the exact number of nucleotide substitutions between different alleles, as well as to construct gene trees and reconstruct the phylogenetic history of populations.^5–7     

DNA and recent human evolution

The study of recent human evolution, or the origin of modern humans, is currently dominated by two theories. The recent African origin hypothesis holds that there was a single origin of modern humans in Africa about 100,000 years ago, after which these humans dispersed throughout the rest of the world, mixing little or not at all with nonmodern populations. The multiregional evolution hypothesis holds that there was no single origin of modern humans but, instead, that the mutations and other traits that led to modern humans were spread in concert throughout the old world by gene flow, leading to genetic continuity among old world populations during the past million years. Although both of these theories are based on observations stemming from the fossil record, much discussion and controversy during the past six years has focused on the application and interpretation of studies of DNA variation, particularly mitochondrial DNA (mtDNA). The past year, especially, has brought new data, interpretations, and controversies. Indeed, I initially resisted writing this review, on the grounds that new information would be likely to render it obsolete by the time it was published. However, now that the dust is starting to settle, it seems timely to review various investigations and interpretations and where they are likely to lead. While the focus of this review is the mtDNA story, brief mention is made of studies of nuclear DNA variation (both autosomal and Y-chromosome DNA) and the implications of the genetic data with regard to the fossil record and our understanding of recent human evolution.     

Behavioural vs. molecular sources of conflict between nuclear and mitochondrial DNA: the role of male-biased dispersal in a Holarctic sea duck

Genetic studies of waterfowl (Anatidae) have observed the full spectrum of mitochondrial (mt) DNA population divergence, from apparent panmixia to deep, reciprocally monophyletic lineages. Yet, these studies often found weak or no nuclear (nu) DNA structure, which was often attributed to male‐biased gene flow, a common behaviour within this family. An alternative explanation for this ‘conflict’ is that the smaller effective population size and faster sorting rate of mtDNA relative to nuDNA lead to different signals of population structure. We tested these alternatives by sequencing 12 nuDNA introns for a Holarctic pair of waterfowl subspecies, the European goosander (Mergus merganser merganser) and the North American common merganser (M. m. americanus), which exhibit strong population structure in mtDNA. We inferred effective population sizes, gene flow and divergence times from published mtDNA sequences and simulated expected differentiation for nuDNA based on those histories. Between Europe and North America, nuDNA Ф_ST was 3.4‐fold lower than mtDNA Ф_ST, a result consistent with differences in sorting rates. However, despite geographically structured and monophyletic mtDNA lineages within continents, nuDNA Ф_ST values were generally zero and significantly lower than predicted. This between‐ and within‐continent contrast held when comparing mtDNA and nuDNA among published studies of ducks. Thus, male‐mediated gene flow is a better explanation than slower sorting rates for limited nuDNA differentiation within continents, which is also supported by nonmolecular data. This study illustrates the value of quantitatively testing discrepancies between mtDNA and nuDNA to reject the null hypothesis that conflict simply reflects different sorting rates.