Disentangling the relative roles of geographical and ecological factors in driving genomic variations of a widely distributed bird across a longitudinal gradient
Unraveling geographical modes of speciation processes has been a longstanding topic in biogeography. Divergence can be driven by factors operating on multiple spatial scales, such as geographical distance (isolation by distance, IBD), landscape resistance (isolation by resistance, IBR) and environme...
Main Authors: | , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Wiley
2022-07-01
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Series: | Journal of Avian Biology |
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Online Access: | https://doi.org/10.1111/jav.02979 |
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author | Pengcheng Wang Simin Liu Junhua Hu Jing Zhang Zhen Wang Jiliang Xu Hongyan Yao Biao Wang De Chen Zhengwang Zhang Yang Liu |
author_facet | Pengcheng Wang Simin Liu Junhua Hu Jing Zhang Zhen Wang Jiliang Xu Hongyan Yao Biao Wang De Chen Zhengwang Zhang Yang Liu |
author_sort | Pengcheng Wang |
collection | DOAJ |
description | Unraveling geographical modes of speciation processes has been a longstanding topic in biogeography. Divergence can be driven by factors operating on multiple spatial scales, such as geographical distance (isolation by distance, IBD), landscape resistance (isolation by resistance, IBR) and environmental heterogeneity (isolation by environment, IBE). However, it is challenging to assess the relative contributions of such factors, which are usually autocorrelated with each other. On the basis of ~294 K nuclear single‐nucleotide polymorphisms from 53 samples, we integrated population genomics, geographical information and environmental variables to delineate genetic differentiation in the common pheasant Phasianus colchicus across a longitudinal gradient in northern China. Generalized dissimilarity modeling (GDM) was used to analyze the relative importance of IBD, IBR and IBE. We found that the common pheasant in northern China was grouped into six genetic clusters, which was consistent with the taxonomic affinities. Genetic diversity changed along the longitudinal gradient, reaching its lowest level at the eastern edge of the Qinghai–Tibetan Plateau (QTP). The spatial pattern of gene flow suggested that the mountains surrounding the QTP and the mountains in central China have acted as geographical barriers impeding common pheasant dispersal. GDM analysis indicated that environmental heterogeneity is the most important driver explaining the lineage divergence, which supports the IBE model. These results suggest that multiple isolation mechanisms shaped genetic diversity and genomic divergence in this wide‐ranging bird species. Together, our results underscore the importance of leveraging genome‐wide variations and ecological modeling to facilitate a deeper understanding of population divergence processes. |
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issn | 0908-8857 1600-048X |
language | English |
last_indexed | 2024-04-11T21:38:05Z |
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series | Journal of Avian Biology |
spelling | doaj.art-fafd893f59c049d0a70eaa72995a96942022-12-22T04:01:42ZengWileyJournal of Avian Biology0908-88571600-048X2022-07-0120227n/an/a10.1111/jav.02979Disentangling the relative roles of geographical and ecological factors in driving genomic variations of a widely distributed bird across a longitudinal gradientPengcheng Wang0Simin Liu1Junhua Hu2Jing Zhang3Zhen Wang4Jiliang Xu5Hongyan Yao6Biao Wang7De Chen8Zhengwang Zhang9Yang Liu10Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal Univ. Nanjing ChinaState Key Laboratory of Biocontrol, School of Ecology, Sun Yat‐sen Univ. Guangzhou ChinaChengdu Inst. of Biology, Chinese Academy of Sciences Chengdu, Sichuan ChinaBeijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo Beijing ChinaHangzhou Xi'ao Environmental Science Technique Company Limited Zhejiang ChinaSchool of Ecology and Nature Conservation, Beijing Forestry Univ. Beijing ChinaSchool of Ecology and Nature Conservation, Beijing Forestry Univ. Beijing ChinaSchool of Biosciences, Univ. of Melbourne Parkville Victoria AustraliaMOE Key Laboratory for Biodiversity Sciences and Ecological Engineering, College of Life Sciences, Beijing Normal Univ. Beijing ChinaMOE Key Laboratory for Biodiversity Sciences and Ecological Engineering, College of Life Sciences, Beijing Normal Univ. Beijing ChinaState Key Laboratory of Biocontrol, School of Ecology, Sun Yat‐sen Univ. Guangzhou ChinaUnraveling geographical modes of speciation processes has been a longstanding topic in biogeography. Divergence can be driven by factors operating on multiple spatial scales, such as geographical distance (isolation by distance, IBD), landscape resistance (isolation by resistance, IBR) and environmental heterogeneity (isolation by environment, IBE). However, it is challenging to assess the relative contributions of such factors, which are usually autocorrelated with each other. On the basis of ~294 K nuclear single‐nucleotide polymorphisms from 53 samples, we integrated population genomics, geographical information and environmental variables to delineate genetic differentiation in the common pheasant Phasianus colchicus across a longitudinal gradient in northern China. Generalized dissimilarity modeling (GDM) was used to analyze the relative importance of IBD, IBR and IBE. We found that the common pheasant in northern China was grouped into six genetic clusters, which was consistent with the taxonomic affinities. Genetic diversity changed along the longitudinal gradient, reaching its lowest level at the eastern edge of the Qinghai–Tibetan Plateau (QTP). The spatial pattern of gene flow suggested that the mountains surrounding the QTP and the mountains in central China have acted as geographical barriers impeding common pheasant dispersal. GDM analysis indicated that environmental heterogeneity is the most important driver explaining the lineage divergence, which supports the IBE model. These results suggest that multiple isolation mechanisms shaped genetic diversity and genomic divergence in this wide‐ranging bird species. Together, our results underscore the importance of leveraging genome‐wide variations and ecological modeling to facilitate a deeper understanding of population divergence processes.https://doi.org/10.1111/jav.02979allopatric speciationcommon pheasantecological speciationisolation mechanismpopulation genomicsspatial scale |
spellingShingle | Pengcheng Wang Simin Liu Junhua Hu Jing Zhang Zhen Wang Jiliang Xu Hongyan Yao Biao Wang De Chen Zhengwang Zhang Yang Liu Disentangling the relative roles of geographical and ecological factors in driving genomic variations of a widely distributed bird across a longitudinal gradient Journal of Avian Biology allopatric speciation common pheasant ecological speciation isolation mechanism population genomics spatial scale |
title | Disentangling the relative roles of geographical and ecological factors in driving genomic variations of a widely distributed bird across a longitudinal gradient |
title_full | Disentangling the relative roles of geographical and ecological factors in driving genomic variations of a widely distributed bird across a longitudinal gradient |
title_fullStr | Disentangling the relative roles of geographical and ecological factors in driving genomic variations of a widely distributed bird across a longitudinal gradient |
title_full_unstemmed | Disentangling the relative roles of geographical and ecological factors in driving genomic variations of a widely distributed bird across a longitudinal gradient |
title_short | Disentangling the relative roles of geographical and ecological factors in driving genomic variations of a widely distributed bird across a longitudinal gradient |
title_sort | disentangling the relative roles of geographical and ecological factors in driving genomic variations of a widely distributed bird across a longitudinal gradient |
topic | allopatric speciation common pheasant ecological speciation isolation mechanism population genomics spatial scale |
url | https://doi.org/10.1111/jav.02979 |
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