Selective Sweeps Lead to Evolutionary Success in an Amazonian Hyperdominant Palm
Despite the global importance of tropical ecosystems, few studies have identified how natural selection has shaped their megadiversity. Here, we test for the role of adaptation in the evolutionary success of the widespread, highly abundant Neotropical palm We used a genome scan framework, sampling 1...
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Published in | Frontiers in genetics Vol. 11; p. 596662 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
23.12.2020
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Subjects | |
Online Access | Get full text |
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Summary: | Despite the global importance of tropical ecosystems, few studies have identified how natural selection has shaped their megadiversity. Here, we test for the role of adaptation in the evolutionary success of the widespread, highly abundant Neotropical palm
We used a genome scan framework, sampling 16,262 single-nucleotide polymorphisms (SNPs) with target sequence capture in 264 individuals from 22 populations in rainforest and savanna ecosystems. We identified outlier loci as well as signal of adaptation using Bayesian correlations of allele frequency with environmental variables and detected both selective sweeps and genetic hitchhiking events. Functional annotation of SNPs with selection footprints identified loci affecting genes related to adaptation to environmental stress, plant development, and primary metabolic processes. The strong differences in climatic and soil variables between ecosystems matched the high differentiation and low admixture in population Bayesian clustering. Further, we found only small differences in allele frequency distribution in loci putatively under selection among widespread populations from different ecosystems, with fixation of a single allele in most populations. Taken together, our results indicate that adaptive selective sweeps related to environmental stress shaped the spatial pattern of genetic diversity in
, leading to high similarity in allele frequency among populations from different ecosystems. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Gyaneshwer Chaubey, Banaras Hindu University, India This article was submitted to Evolutionary and Population Genetics, a section of the journal Frontiers in Genetics Reviewed by: Eaaswarkhanth Muthukrishnan, Dasman Diabetes Institute, Kuwait; Ivan Scotti, Institut National de Recherche pour l’agriculture, l’alimentation et l’environnement (INRAE), France |
ISSN: | 1664-8021 1664-8021 |
DOI: | 10.3389/fgene.2020.596662 |