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The population history of Garra orientalis (Teleostei: Cyprinidae) using mitochondrial DNA and microsatellite data with approximate Bayesian computation

BACKGROUND: The South China landmass has been characterized by a complex geological history, including mountain lifting, climate changes, and river capture/reversal events. To determine how this complexity has influenced the landmass’s phylogeography, our study examined the phylogeography of Garra o...

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Autores principales: Yang, Jin-Quan, Hsu, Kui-Ching, Liu, Zhi-Zhi, Su, Li-Wei, Kuo, Po-Hsun, Tang, Wen-Qiao, Zhou, Zhuo-Cheng, Liu, Dong, Bao, Bao-Long, Lin, Hung-Du
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4827224/
https://www.ncbi.nlm.nih.gov/pubmed/27068356
http://dx.doi.org/10.1186/s12862-016-0645-9
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author Yang, Jin-Quan
Hsu, Kui-Ching
Liu, Zhi-Zhi
Su, Li-Wei
Kuo, Po-Hsun
Tang, Wen-Qiao
Zhou, Zhuo-Cheng
Liu, Dong
Bao, Bao-Long
Lin, Hung-Du
author_facet Yang, Jin-Quan
Hsu, Kui-Ching
Liu, Zhi-Zhi
Su, Li-Wei
Kuo, Po-Hsun
Tang, Wen-Qiao
Zhou, Zhuo-Cheng
Liu, Dong
Bao, Bao-Long
Lin, Hung-Du
author_sort Yang, Jin-Quan
collection PubMed
description BACKGROUND: The South China landmass has been characterized by a complex geological history, including mountain lifting, climate changes, and river capture/reversal events. To determine how this complexity has influenced the landmass’s phylogeography, our study examined the phylogeography of Garra orientalis, a cyprinid widely distributed in South China, using sequences from the mitochondrial DNA control region and cytochrome b gene (1887 bp) and polymorphisms of thirteen microsatellite loci. RESULTS: In total, 157 specimens were collected from eight populations. All 88 mtDNA haplotypes were identified as belonging to three major lineages, and these lineages were almost allopatric in their distributions. The results of a statistical dispersal-vicariance analysis suggested that the ancestral populations of G. orientalis were distributed south of the Yunkai Mountains, including on Hainan Island. The mtDNA data revealed a strong relationship between phylogeny and geography. In the microsatellite analysis, a total of 339 alleles with an average of 26 alleles per locus were observed across thirteen microsatellite loci. A clustering algorithm for microsatellite data revealed an admixture-like genetic structure. Although the mtDNA and microsatellite data sets displayed a discordant population structure, the results of an approximate Bayesian computation approach showed that these two markers revealed congruent historical signals. The population history of G. orientalis reflects vicariance events and dispersal related to the complex geological history of South China. CONCLUSION: Our results (i) found that the discordances between mtDNA and microsatellite markers were accounted for by admixtures; (ii) showed that the Wuzhishan and Yinggeling mountain ranges and Qiongzhou Strait were important barriers limiting gene exchange between populations on both sides; (iii) indicated that during glaciation and inter-glacial periods, the strait and continental shelves were exposed and sank, which contributed with the dispersion and differentiation of populations; and (iv) displayed that the admixtures between lineages took place in coastal populations and then colonized the tributaries of the Pearl River.
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spelling pubmed-48272242016-04-12 The population history of Garra orientalis (Teleostei: Cyprinidae) using mitochondrial DNA and microsatellite data with approximate Bayesian computation Yang, Jin-Quan Hsu, Kui-Ching Liu, Zhi-Zhi Su, Li-Wei Kuo, Po-Hsun Tang, Wen-Qiao Zhou, Zhuo-Cheng Liu, Dong Bao, Bao-Long Lin, Hung-Du BMC Evol Biol Research Article BACKGROUND: The South China landmass has been characterized by a complex geological history, including mountain lifting, climate changes, and river capture/reversal events. To determine how this complexity has influenced the landmass’s phylogeography, our study examined the phylogeography of Garra orientalis, a cyprinid widely distributed in South China, using sequences from the mitochondrial DNA control region and cytochrome b gene (1887 bp) and polymorphisms of thirteen microsatellite loci. RESULTS: In total, 157 specimens were collected from eight populations. All 88 mtDNA haplotypes were identified as belonging to three major lineages, and these lineages were almost allopatric in their distributions. The results of a statistical dispersal-vicariance analysis suggested that the ancestral populations of G. orientalis were distributed south of the Yunkai Mountains, including on Hainan Island. The mtDNA data revealed a strong relationship between phylogeny and geography. In the microsatellite analysis, a total of 339 alleles with an average of 26 alleles per locus were observed across thirteen microsatellite loci. A clustering algorithm for microsatellite data revealed an admixture-like genetic structure. Although the mtDNA and microsatellite data sets displayed a discordant population structure, the results of an approximate Bayesian computation approach showed that these two markers revealed congruent historical signals. The population history of G. orientalis reflects vicariance events and dispersal related to the complex geological history of South China. CONCLUSION: Our results (i) found that the discordances between mtDNA and microsatellite markers were accounted for by admixtures; (ii) showed that the Wuzhishan and Yinggeling mountain ranges and Qiongzhou Strait were important barriers limiting gene exchange between populations on both sides; (iii) indicated that during glaciation and inter-glacial periods, the strait and continental shelves were exposed and sank, which contributed with the dispersion and differentiation of populations; and (iv) displayed that the admixtures between lineages took place in coastal populations and then colonized the tributaries of the Pearl River. BioMed Central 2016-04-11 /pmc/articles/PMC4827224/ /pubmed/27068356 http://dx.doi.org/10.1186/s12862-016-0645-9 Text en © Yang et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Yang, Jin-Quan
Hsu, Kui-Ching
Liu, Zhi-Zhi
Su, Li-Wei
Kuo, Po-Hsun
Tang, Wen-Qiao
Zhou, Zhuo-Cheng
Liu, Dong
Bao, Bao-Long
Lin, Hung-Du
The population history of Garra orientalis (Teleostei: Cyprinidae) using mitochondrial DNA and microsatellite data with approximate Bayesian computation
title The population history of Garra orientalis (Teleostei: Cyprinidae) using mitochondrial DNA and microsatellite data with approximate Bayesian computation
title_full The population history of Garra orientalis (Teleostei: Cyprinidae) using mitochondrial DNA and microsatellite data with approximate Bayesian computation
title_fullStr The population history of Garra orientalis (Teleostei: Cyprinidae) using mitochondrial DNA and microsatellite data with approximate Bayesian computation
title_full_unstemmed The population history of Garra orientalis (Teleostei: Cyprinidae) using mitochondrial DNA and microsatellite data with approximate Bayesian computation
title_short The population history of Garra orientalis (Teleostei: Cyprinidae) using mitochondrial DNA and microsatellite data with approximate Bayesian computation
title_sort population history of garra orientalis (teleostei: cyprinidae) using mitochondrial dna and microsatellite data with approximate bayesian computation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4827224/
https://www.ncbi.nlm.nih.gov/pubmed/27068356
http://dx.doi.org/10.1186/s12862-016-0645-9
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