期刊
MOLECULAR ECOLOGY
卷 26, 期 19, 页码 4966-4977出版社
WILEY
DOI: 10.1111/mec.14270
关键词
adaptation; ecotone; environmental gradient; genomic divergence; RADseq; rainforest
资金
- National Science Foundation [PIRE1243524, DEB-9726425, IRCEB9977072, PD-08-1269]
- National Geographic grants
- Searle Scholars grant
- UCLA QCBio Collaboratory Fellowship
- Division Of Mathematical Sciences
- Direct For Mathematical & Physical Scien [1513657] Funding Source: National Science Foundation
- Office Of Internatl Science &Engineering
- Office Of The Director [1243524] Funding Source: National Science Foundation
The little greenbul, a common rainforest passerine from sub-Saharan Africa, has been the subject of long-term evolutionary studies to understand the mechanisms leading to rainforest speciation. Previous research found morphological and behavioural divergence across rainforest-savannah transition zones (ecotones), and a pattern of divergence with gene flow suggesting divergent natural selection has contributed to adaptive divergence and ecotones could be important areas for rainforests speciation. Recent advances in genomics and environmental modelling make it possible to examine patterns of genetic divergence in a more comprehensive fashion. To assess the extent to which natural selection may drive patterns of differentiation, here we investigate patterns of genomic differentiation among populations across environmental gradients and regions. We find compelling evidence that individuals form discrete genetic clusters corresponding to distinctive environmental characteristics and habitat types. Pairwise F-ST between populations in different habitats is significantly higher than within habitats, and this differentiation is greater than what is expected from geographic distance alone. Moreover, we identified 140 SNPs that showed extreme differentiation among populations through a genomewide selection scan. These outliers were significantly enriched in exonic and coding regions, suggesting their functional importance. Environmental association analysis of SNP variation indicates that several environmental variables, including temperature and elevation, play important roles in driving the pattern of genomic diversification. Results lend important new genomic evidence for environmental gradients being important in population differentiation.
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