Uncovering signals of positive selection in peruvian populations from three ecological regions

dc.contributor.author
Caro Consuegra, Rocio
dc.contributor.author
Nieves-Colón, Maria A.
dc.contributor.author
Rawls, Erin
dc.contributor.author
Rubin-de-Celis, Verónica
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Lizárraga, Beatriz
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Vidaurre, Tatiana
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Sandoval Mendoza, Karla
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Fejerman, Laura
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Stone, Anne C.
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Moreno Estrada, Andrés
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Bosch Fusté, Elena
dc.date.issued
2022-09-14T06:49:48Z
dc.date.issued
2022-09-14T06:49:48Z
dc.date.issued
2022
dc.identifier
Caro-Consuegra R, Nieves-Colón MA, Rawls E, Rubin-de-Celis V, Lizárraga B, Vidaurre T, Sandoval K, Fejerman L, Stone AC, Moreno-Estrada A, Bosch E. Uncovering signals of positive selection in peruvian populations from three ecological regions. Mol Biol Evol. 2022 Aug 3;39(8):msac158. DOI: 10.1093/molbev/msac158
dc.identifier
0737-4038
dc.identifier
http://hdl.handle.net/10230/54062
dc.identifier
http://dx.doi.org/10.1093/molbev/msac158
dc.description.abstract
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.
dc.description.abstract
This work was supported by the Ministerio de Ciencia e Innovación and the Agencia Estatal de Investigación (AEI) (PID2019-110933GB-I00/AEI/10.13039/501100011033 to E.B.); the Unidad de Excelencia María de Maeztu funded by the Ministerio de Ciencia e Innovación and the Agencia Estatal de Investigación (DOI: 10.13039/501100011033; ref: CEX2018-000792-M to E.B. and R.C.-C.); the National Science Foundation (NSF) SBE (Postdoctoral Research Fellowship Award No. 1711982 to M.A.N.-C.), NSF-BCS (BCS-0242958 to A.C.S.) and NSF-Research Experience for Undergraduates (BCS-0242958 to A.C.S.); the Mexican National Council for Science and Technology (CONACYT) (FONCICYT/50/2016 to A.M.-E.); and the International Center for Genetic Engineering and Biotechnology (ICGEB, Italy) (CRP/MEX15-04_EC to A.M.-E.). The PEGEN-BC study was supported by the National Cancer Institute at the National Institutes of Health (R01CA204797 to L.F.) and the Instituto Nacional de Enfermedades Neoplásicas in Lima, Peru.
dc.format
application/pdf
dc.format
application/pdf
dc.language
eng
dc.publisher
Oxford University Press
dc.relation
Mol Biol Evol. 2022 Aug 3;39(8):msac158
dc.relation
info:eu-repo/grantAgreement/ES/2PE/PID2019-110933GB-I00
dc.rights
© The Author(s) 2022. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
dc.rights
https://creativecommons.org/licenses/by-nc/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Peruvian populations
dc.subject
High-altitude adaptation
dc.subject
Human adaptation
dc.title
Uncovering signals of positive selection in peruvian populations from three ecological regions
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion


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