Intraspecies Genomic Divergence of a Fig Wasp Species Is Due to Geographical Barrier and Adaptation
Understanding how intraspecies divergence results in speciation has great importance for our knowledge of evolutionary biology. Here we applied population genomics approaches to a fig wasp species (Valisia javana complex sp 1) to reveal its intraspecies differentiation and the underlying evolutionar...
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2021
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oai:doaj.org-article:b56e73ddb96e4aa1ae26c30ae24fc3df2021-11-10T08:30:17ZIntraspecies Genomic Divergence of a Fig Wasp Species Is Due to Geographical Barrier and Adaptation2296-701X10.3389/fevo.2021.764828https://doaj.org/article/b56e73ddb96e4aa1ae26c30ae24fc3df2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fevo.2021.764828/fullhttps://doaj.org/toc/2296-701XUnderstanding how intraspecies divergence results in speciation has great importance for our knowledge of evolutionary biology. Here we applied population genomics approaches to a fig wasp species (Valisia javana complex sp 1) to reveal its intraspecies differentiation and the underlying evolutionary dynamics. With re-sequencing data, we prove the Hainan Island population (DA) of sp1 genetically differ from the continental ones, then reveal the differed divergence pattern. DA has reduced SNP diversity but a higher proportion of population-specific structural variations (SVs), implying a restricted gene exchange. Based on SNPs, 32 differentiated islands containing 204 genes were detected, along with 1,532 population-specific SVs of DA overlapping 4,141 genes. The gene ontology (GO) enrichment analysis performed on differentiated islands linked to three significant GO terms on a basic metabolism process, with most of the genes failing to enrich. In contrast, population-specific SVs contributed more to the adaptation than the SNPs by linking to 59 terms that are crucial for wasp speciation, such as host reorganization and development regulation. In addition, the generalized dissimilarity modeling confirms the importance of environment difference on the genetic divergence within sp1. Hence, we assume the genetic divergence between DA and the continent due to not only the strait as a geographic barrier, but also adaptation. We reconstruct the demographic history within sp1. DA shares a similar population history with the nearby continental population, suggesting an incomplete divergence. Summarily, our results reveal how geographic barriers and adaptation both influence the genetic divergence at population-level, thereby increasing our knowledge on the potential speciation of non-model organisms.Xun XuXun XuXun XuBao-Sheng WangHui YuHui YuHui YuFrontiers Media S.A.articlegenetic divergenceadaptationgeographic barrierpopulation geneticsFicus hirtaValisia javanaEvolutionQH359-425EcologyQH540-549.5ENFrontiers in Ecology and Evolution, Vol 9 (2021) |
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genetic divergence adaptation geographic barrier population genetics Ficus hirta Valisia javana Evolution QH359-425 Ecology QH540-549.5 |
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genetic divergence adaptation geographic barrier population genetics Ficus hirta Valisia javana Evolution QH359-425 Ecology QH540-549.5 Xun Xu Xun Xu Xun Xu Bao-Sheng Wang Hui Yu Hui Yu Hui Yu Intraspecies Genomic Divergence of a Fig Wasp Species Is Due to Geographical Barrier and Adaptation |
description |
Understanding how intraspecies divergence results in speciation has great importance for our knowledge of evolutionary biology. Here we applied population genomics approaches to a fig wasp species (Valisia javana complex sp 1) to reveal its intraspecies differentiation and the underlying evolutionary dynamics. With re-sequencing data, we prove the Hainan Island population (DA) of sp1 genetically differ from the continental ones, then reveal the differed divergence pattern. DA has reduced SNP diversity but a higher proportion of population-specific structural variations (SVs), implying a restricted gene exchange. Based on SNPs, 32 differentiated islands containing 204 genes were detected, along with 1,532 population-specific SVs of DA overlapping 4,141 genes. The gene ontology (GO) enrichment analysis performed on differentiated islands linked to three significant GO terms on a basic metabolism process, with most of the genes failing to enrich. In contrast, population-specific SVs contributed more to the adaptation than the SNPs by linking to 59 terms that are crucial for wasp speciation, such as host reorganization and development regulation. In addition, the generalized dissimilarity modeling confirms the importance of environment difference on the genetic divergence within sp1. Hence, we assume the genetic divergence between DA and the continent due to not only the strait as a geographic barrier, but also adaptation. We reconstruct the demographic history within sp1. DA shares a similar population history with the nearby continental population, suggesting an incomplete divergence. Summarily, our results reveal how geographic barriers and adaptation both influence the genetic divergence at population-level, thereby increasing our knowledge on the potential speciation of non-model organisms. |
format |
article |
author |
Xun Xu Xun Xu Xun Xu Bao-Sheng Wang Hui Yu Hui Yu Hui Yu |
author_facet |
Xun Xu Xun Xu Xun Xu Bao-Sheng Wang Hui Yu Hui Yu Hui Yu |
author_sort |
Xun Xu |
title |
Intraspecies Genomic Divergence of a Fig Wasp Species Is Due to Geographical Barrier and Adaptation |
title_short |
Intraspecies Genomic Divergence of a Fig Wasp Species Is Due to Geographical Barrier and Adaptation |
title_full |
Intraspecies Genomic Divergence of a Fig Wasp Species Is Due to Geographical Barrier and Adaptation |
title_fullStr |
Intraspecies Genomic Divergence of a Fig Wasp Species Is Due to Geographical Barrier and Adaptation |
title_full_unstemmed |
Intraspecies Genomic Divergence of a Fig Wasp Species Is Due to Geographical Barrier and Adaptation |
title_sort |
intraspecies genomic divergence of a fig wasp species is due to geographical barrier and adaptation |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/b56e73ddb96e4aa1ae26c30ae24fc3df |
work_keys_str_mv |
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