Signatures of Environmental Genetic Adaptation Pinpoint Pathogens as the Main Selective Pressure through Human Evolution

被引:383
作者
Fumagalli, Matteo [1 ,2 ]
Sironi, Manuela [1 ]
Pozzoli, Uberto [1 ]
Ferrer-Admettla, Anna [3 ,4 ]
Pattini, Linda [2 ]
Nielsen, Rasmus [3 ,4 ]
机构
[1] Sci Inst IRCCS E Medea, Bioinformat Lab, Bosisio Parini, Italy
[2] Politecn Milan, Dept Bioengn, Milan, Italy
[3] Univ Calif Berkeley, Dept Integrat Biol, Berkeley, CA 94720 USA
[4] Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
来源
PLOS GENETICS | 2011年 / 7卷 / 11期
关键词
RECENT POSITIVE SELECTION; HUMAN GENOME; BALANCING SELECTION; NATURAL-SELECTION; POPULATION-GENETICS; ALLELE FREQUENCY; INNATE-IMMUNITY; ASCERTAINMENT BIASES; ADAPTIVE EVOLUTION; COMMON DISEASES;
D O I
10.1371/journal.pgen.1002355
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Previous genome-wide scans of positive natural selection in humans have identified a number of non-neutrally evolving genes that play important roles in skin pigmentation, metabolism, or immune function. Recent studies have also shown that a genome-wide pattern of local adaptation can be detected by identifying correlations between patterns of allele frequencies and environmental variables. Despite these observations, the degree to which natural selection is primarily driven by adaptation to local environments, and the role of pathogens or other ecological factors as selective agents, is still under debate. To address this issue, we correlated the spatial allele frequency distribution of a large sample of SNPs from 55 distinct human populations to a set of environmental factors that describe local geographical features such as climate, diet regimes, and pathogen loads. In concordance with previous studies, we detected a significant enrichment of genic SNPs, and particularly non-synonymous SNPs associated with local adaptation. Furthermore, we show that the diversity of the local pathogenic environment is the predominant driver of local adaptation, and that climate, at least as measured here, only plays a relatively minor role. While background demography by far makes the strongest contribution in explaining the genetic variance among populations, we detected about 100 genes which show an unexpectedly strong correlation between allele frequencies and pathogenic environment, after correcting for demography. Conversely, for diet regimes and climatic conditions, no genes show a similar correlation between the environmental factor and allele frequencies. This result is validated using low-coverage sequencing data for multiple populations. Among the loci targeted by pathogen-driven selection, we found an enrichment of genes associated to autoimmune diseases, such as celiac disease, type 1 diabetes, and multiples sclerosis, which lends credence to the hypothesis that some susceptibility alleles for autoimmune diseases may be maintained in human population due to past selective processes.
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页数:14
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