Uncovering Signals of Positive Selection in Peruvian Populations from Three Ecological Regions.
Uncovering Signals of Positive Selection in Peruvian Populations from Three Ecological Regions.
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揭示来自三个生态区的秘鲁种群的积极选择信号。
DOI:
10.1093/molbev/msac158
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发表时间:
2022-08-03
影响因子:
10.7
通讯作者:
Bosch, Elena
中科院分区:
文献类型:
--
作者:
Caro-Consuegra, Rocio;Nieves-Colon, Maria A.;Rawls, Erin;Rubin-de-Celis, Veronica;Lizarraga, Beatriz;Vidaurre, Tatiana;Sandoval, Karla;Fejerman, Laura;Stone, Anne C.;Moreno-Estrada, Andres;Bosch, Elena
Peru hosts extremely diverse ecosystems which can be broadly classified into the following three major ecoregions: the Pacific desert coast, the Andean highlands, and the Amazon rainforest. Since its initial peopling approximately 12,000 years ago, the populations inhabiting such ecoregions might have differentially adapted to their contrasting environmental pressures. Previous studies have described several candidate genes underlying adaptation to hypobaric hypoxia among Andean highlanders. However, the adaptive genetic diversity of coastal and rainforest populations has been less studied. Here, we gathered genome-wide single-nucleotide polymorphism-array data from 286 Peruvians living across the three ecoregions and analyzed signals of recent positive selection through population differentiation and haplotype-based selection scans. Among highland populations, we identify candidate genes related to cardiovascular function (TLL1, DUSP27, TBX5, PLXNA4, SGCD), to the Hypoxia-Inducible Factor pathway (TGFA, APIP), to skin pigmentation (MITF), as well as to glucose (GLIS3) and glycogen metabolism (PPP1R3C, GANC). In contrast, most signatures of adaptation in coastal and rainforest populations comprise candidate genes related to the immune system (including SIGLEC8, TRIM21, CD44, and ICAM1 in the coast; CBLB and PRDM1 in the rainforest; and BRD2, HLA-DOA, HLA-DPA1 regions in both), possibly as a result of strong pathogen-driven selection. This study identifies candidate genes related to human adaptation to the diverse environments of South America.
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影响因子:
2.9
作者:
Bigham, Abigail W.;Wilson, Megan J.;Shriver, Mark D.
通讯作者:
Shriver, Mark D.
影响因子:
--
作者:
Baaten, Bas Jg;Li, Cheng-Rui;Bradley, Linda M
通讯作者:
Bradley, Linda M
影响因子:
5.8
作者:
Behr, Aaron A.;Liu, Katherine Z.;Ramachandran, Sohini
通讯作者:
Ramachandran, Sohini
影响因子:
4.5
作者:
Bigham A;Bauchet M;Pinto D;Mao X;Akey JM;Mei R;Scherer SW;Julian CG;Wilson MJ;López Herráez D;Brutsaert T;Parra EJ;Moore LG;Shriver MD
通讯作者:
Shriver MD
DOI:
10.1073/pnas.1620541114
发表时间:
2017-02-28
影响因子:
11.1
作者:
Amorim, Carlos Eduardo G.;Nunes, Kelly;Hunemeier, Tabita
通讯作者:
Hunemeier, Tabita