Highly variable recombinational landscape modulates efficacy of natural selection in birds.

Highly variable recombinational landscape modulates efficacy of natural selection in birds.
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DOI:
10.1093/gbe/evu157
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发表时间:
2014-08
影响因子:
3.3
通讯作者:
Zeng K
Zeng K
中科院分区:
生物学2区
文献类型:
--
作者:
Gossmann TI;Santure AW;Sheldon BC;Slate J;Zeng K

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确定蛋白质进化的速率并确定其在整个基因组中变异的原因是理解基因组进化重要力量的有力方法。通过使用多组织转录组数据集从大山雀(山雀),我们分析了两个雀形目鸟类,大山雀和斑胸草雀(Taeniopygia guttata)之间的分子进化模式,使用鸡基因组(原鸡)作为外群。我们研究了鸟类基因组的一个特殊功能,高度可变的重组景观,是否通过Hill-Robertson干扰的影响调节自然选择的效力,Hill-Robertson干扰预测选择应该更有效地去除有害突变,并将有益的突变在高重组区域比在低重组区域。与这些预测一致,位于低重组区域的基因往往有很高比例的中性进化位点和放松的选择性限制的网站进行纯化选择,而基因,表现出强烈的支持过去的事件的积极选择出现在高重组区域。还有证据表明,位于高重组区域的基因往往比位于低重组区域的基因具有更高的基因表达特异性。此外,更紧凑的基因(即,具有较少/较短内含子或较短蛋白质的那些)比较不紧凑的那些进化得更快。总之,我们的研究结果表明,转录组测序是一个强大的方法来回答有关非模式生物基因组进化的基本问题。
Determining the rate of protein evolution and identifying the causes of its variation across the genome are powerful ways to understand forces that are important for genome evolution. By using a multitissue transcriptome data set from great tit (Parus major), we analyzed patterns of molecular evolution between two passerine birds, great tit and zebra finch (Taeniopygia guttata), using the chicken genome (Gallus gallus) as an outgroup. We investigated whether a special feature of avian genomes, the highly variable recombinational landscape, modulates the efficacy of natural selection through the effects of Hill–Robertson interference, which predicts that selection should be more effective in removing deleterious mutations and incorporating beneficial mutations in high-recombination regions than in low-recombination regions. In agreement with these predictions, genes located in low-recombination regions tend to have a high proportion of neutrally evolving sites and relaxed selective constraint on sites subject to purifying selection, whereas genes that show strong support for past episodes of positive selection appear disproportionally in high-recombination regions. There is also evidence that genes located in high-recombination regions tend to have higher gene expression specificity than those located in low-recombination regions. Furthermore, more compact genes (i.e., those with fewer/shorter introns or shorter proteins) evolve faster than less compact ones. In sum, our results demonstrate that transcriptome sequencing is a powerful method to answer fundamental questions about genome evolution in nonmodel organisms.
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