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Evolution of Functional Genes in Cetaceans Driven by Natural Selection on a Phylogenetic and Population Level

机译:自然选择驱动的鲸类动物功能基因在系统发育和种群水平上的进化

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摘要

Cetaceans represent an evolutionary lineage marked by drastic morphological and physiological changes during their adaptation to an exclusively marine existence. In addition, several cetacean species exhibit geographical ranges that encompass different marine environments, with genetic breaks being sometimes consistent with environmental breaks. As such, genes that underwent adaptation during the land-sea transition can also be potential candidates for adaptation to different oceanic environments. In this study, we analysed 3 milk protein genes (β-casein, κ-casein, and α-lactalbumin) and 2 immunity related genes (MHC DQβ1 and γ-fibrinogen) for selection based on available phylogenetic datasets of both mammals and cetaceans, and used the results from this analysis to assess adaptation to different environments on a population level in the European common dolphin (Delphinus delphis). We found that evidence for positive selection could be detected in all genes in the phylogenetic analyses, with β-casein showing a further increase in selective pressure in the cetacean lineage. At the population level, both the immune system locus DQβ1 and β-casein genes showed patterns of variation consistent with divergent selection, and in each case the same populations showed differentiation. One of these populations was also differentiated at neutral markers, while the other was not. We discuss possible inference, and the potential for the further development of these ideas using genomic technologies.
机译:鲸目动物代表了一种进化谱系,其特征是它们在适应完全海洋生存的过程中发生了剧烈的形态和生理变化。此外,一些鲸目动物物种表现出涵盖不同海洋环境的地理范围,遗传断裂有时与环境断裂一致。因此,在陆海过渡期间经历适应的基因也可能是适应不同海洋环境的潜在候选者。在这项研究中,我们分析了 3 个乳蛋白基因(β-酪蛋白、κ-酪蛋白和 α-乳清蛋白)和 2 个免疫相关基因(MHC DQβ1 和 γ-纤维蛋白原),以根据哺乳动物和鲸类动物的现有系统发育数据集进行选择,并利用该分析的结果评估欧洲普通海豚 (Delphinus delphis) 种群水平上对不同环境的适应。我们发现,在系统发育分析中,所有基因都可以检测到阳性选择的证据,β酪蛋白显示鲸类谱系中的选择压力进一步增加。在群体水平上,免疫系统位点 DQβ1 和 β-酪蛋白基因都显示出与分歧选择一致的变异模式,并且在每种情况下,相同的群体都表现出分化。其中一个群体也在中性标记处分化,而另一个则没有。我们讨论了可能的推论,以及利用基因组技术进一步发展这些想法的潜力。

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