title: Signatures of environmental genetic adaptation pinpoint pathogens as the main selective pressure through human evolution.
abstract: 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.
authors.affiliation: Scientific Institute IRCCS E. Medea, Bioinformatic Lab, Bosisio Parini, Italy. matteo.fumagalli@bp.lnf.it
authors.forename: Matteo
authors.initials: M
authors.lastname: Fumagalli
authors.forename: Manuela
authors.initials: M
authors.lastname: Sironi
authors.forename: Uberto
authors.initials: U
authors.lastname: Pozzoli
authors.forename: Anna
authors.initials: A
authors.lastname: Ferrer-Admetlla
authors.forename: Anna
authors.initials: A
authors.lastname: Ferrer-Admettla
authors.forename: Linda
authors.initials: L
authors.lastname: Pattini
authors.forename: Rasmus
authors.initials: R
authors.lastname: Nielsen
mesh_terms: D000064:Acclimatization / Q000235:genetics; D000220:Adaptation, Biological / Q000235:genetics*; D005075:Biological Evolution; D004777:Environment; D005787:Gene Frequency / Q000235:genetics*; D059647:Gene-Environment Interaction; D040961:Genetic Drift; D014644:Genetic Variation; D055106:Genome-Wide Association Study; D005838:Genotype; D054884:Host-Pathogen Interactions / Q000235:genetics*; D006801:Humans; D053858:Metabolic Networks and Pathways / Q000235:genetics*; D008957:Models, Genetic; D020641:Polymorphism, Single Nucleotide; D012641:Selection, Genetic / Q000235:genetics*
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