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自然选择在模式入侵性海鞘中的遗传特征。

Genetic signatures of natural selection in a model invasive ascidian.

机构信息

Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 18 Shuangqing Road, Haidian District, Beijing 100085, China.

University of Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100049, China.

出版信息

Sci Rep. 2017 Mar 7;7:44080. doi: 10.1038/srep44080.

Abstract

Invasive species represent promising models to study species' responses to rapidly changing environments. Although local adaptation frequently occurs during contemporary range expansion, the associated genetic signatures at both population and genomic levels remain largely unknown. Here, we use genome-wide gene-associated microsatellites to investigate genetic signatures of natural selection in a model invasive ascidian, Ciona robusta. Population genetic analyses of 150 individuals sampled in Korea, New Zealand, South Africa and Spain showed significant genetic differentiation among populations. Based on outlier tests, we found high incidence of signatures of directional selection at 19 loci. Hitchhiking mapping analyses identified 12 directional selective sweep regions, and all selective sweep windows on chromosomes were narrow (~8.9 kb). Further analyses indentified 132 candidate genes under selection. When we compared our genetic data and six crucial environmental variables, 16 putatively selected loci showed significant correlation with these environmental variables. This suggests that the local environmental conditions have left significant signatures of selection at both population and genomic levels. Finally, we identified "plastic" genomic regions and genes that are promising regions to investigate evolutionary responses to rapid environmental change in C. robusta.

摘要

入侵物种是研究物种对快速变化环境响应的有前途的模型。尽管在当代的分布范围扩张过程中经常发生局部适应,但在种群和基因组水平上与之相关的遗传特征在很大程度上仍然未知。在这里,我们使用全基因组基因相关微卫星来研究模型入侵性海鞘 Ciona robusta 中的自然选择的遗传特征。对在韩国、新西兰、南非和西班牙采集的 150 个个体进行的种群遗传分析表明,种群之间存在显著的遗传分化。基于异常值检验,我们在 19 个基因座上发现了大量的定向选择信号。“ hitchhiking mapping ”分析鉴定出 12 个定向选择的扫描区域,染色体上的所有选择窗口都很窄(约 8.9kb)。进一步的分析鉴定出 132 个候选基因受到选择。当我们比较我们的遗传数据和六个关键的环境变量时,16 个假定的选择基因座与这些环境变量显著相关。这表明,当地的环境条件在种群和基因组水平上都留下了显著的选择信号。最后,我们确定了“可塑性”的基因组区域和基因,这些区域是研究 C. robusta 对快速环境变化的进化响应的有前途的区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e60/5339779/102352ec4f73/srep44080-f1.jpg

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