Assessing models of speciation under different biogeographic scenarios; an empirical study using multi-locus and RNA-seq analyses

CORC > 昆明动物研究所 > 昆明动物研究所 > 遗传资源与进化国家重点实验室 > 分子进化基因组学

	Assessing models of speciation under different biogeographic scenarios; an empirical study using multi-locus and RNA-seq analyses
	Edwards T[*]1,2; Tollis M 3; Kusumi K 3; Culver M 1,7; Murphy RW 6,8; Hsieh P 4; Gutenkunst RN 4,5; Liu Z 6
刊名	ECOLOGY AND EVOLUTION
	2016
卷号	6 期号:2 页码:379-396
关键词	ai allopatric gene flow Gopherus parapatric phylogenetic transcriptome
通讯作者	taylore@email.arizona.edu
合作状况	其它
英文摘要	Evolutionary biology often seeks to decipher the drivers of speciation, and much debate persists over the relative importance of isolation and gene flow in the formation of new species. Genetic studies of closely related species can assess if gene flow was present during speciation, because signatures of past introgression often persist in the genome. We test hypotheses on which mechanisms of speciation drove diversity among three distinct lineages of desert tortoise in the genus Gopherus. These lineages offer a powerful system to study speciation, because different biogeographic patterns (physical vs. ecological segregation) are observed at opposing ends of their distributions. We use 82 samples collected from 38 sites, representing the entire species' distribution and generate sequence data for mtDNA and four nuclear loci. A multilocus phylogenetic analysis in BEAST estimates the species tree. RNA-seq data yield 20,126 synonymous variants from 7665 contigs from two individuals of each of the three lineages. Analyses of these data using the demographic inference package ai serve to test the null hypothesis of no gene flow during divergence. The best-fit demographic model for the three taxa is concordant with the BEAST species tree, and the ai analysis does not indicate gene flow among any of the three lineages during their divergence. These analyses suggest that divergence among the lineages occurred in the absence of gene flow and in this scenario the genetic signature of ecological isolation (parapatric model) cannot be differentiated from geographic isolation (allopatric model).
收录类别	SCI
资助信息	Funding for this project was obtained from the Royal Ontario Museum Foundation, NSERC Discovery Grant A3148, Arizona Research Laboratories, Tucson Herpetological Society, Desert Tortoise Council, and Fisher Scientific through their Scholar of Excellence Award with matching funds received from the School of Natural Resources and the Environment, University of Arizona. RNG and PH were
语种	英语
内容类型	期刊论文
源URL	[http://159.226.149.26:8080/handle/152453/10329]
专题	昆明动物研究所_分子进化基因组学昆明动物研究所_遗传资源与进化国家重点实验室昆明动物研究所_进化与功能基因组学
作者单位	1.School of Natural Resources and the Environment, The University of Arizona, Tucson, Arizona 85721 2.University of Arizona Genetics Core, University of Arizona, Tucson, Arizona 85721 3.School of Life Sciences, Arizona State University, Tempe, Arizona 85287 4.Department of Ecology and Evolutionary Biology, The University of Arizona, Tucson, Arizona 85721 5.Department of Molecular and Cellular Biology, The University of Arizona, Tucson, Arizona 85721 6.State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China 7.Arizona Cooperative Fish & Wildlife Research Unit, USGS, University of Arizona, Tucson, Arizona 85721 8.Centre for Biodiversity and Conservation Biology, Royal Ontario Museum, Toronto, ON, Canada
推荐引用方式 GB/T 7714	Edwards T[*],Tollis M,Kusumi K,et al. Assessing models of speciation under different biogeographic scenarios; an empirical study using multi-locus and RNA-seq analyses[J]. ECOLOGY AND EVOLUTION,2016,6(2):379-396.
APA	Edwards T[*].,Tollis M.,Kusumi K.,Culver M.,Murphy RW.,...&Liu Z.(2016).Assessing models of speciation under different biogeographic scenarios; an empirical study using multi-locus and RNA-seq analyses.ECOLOGY AND EVOLUTION,6(2),379-396.
MLA	Edwards T[*],et al."Assessing models of speciation under different biogeographic scenarios; an empirical study using multi-locus and RNA-seq analyses".ECOLOGY AND EVOLUTION 6.2(2016):379-396.