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Mycobacterial Phylogenomics: An Enhanced Method for Gene Turnover Analysis Reveals Uneven Levels of Gene Gain and Loss among Species and Gene Families

机译:分枝杆菌的人类基因组学:一种增强的基因转换分析方法揭示了物种和基因家族之间不平衡的基因获得和损失水平

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摘要

Species of the genus Mycobacterium differ in several features, from geographic ranges, and degree of pathogenicity, to ecological and host preferences. The recent availability of several fully sequenced genomes for a number of these species enabled the comparative study of the genetic determinants of this wide lifestyle diversity. Here, we applied two complementary phylogenetic-based approaches using information from 19 Mycobacterium genomes to obtain a more comprehensive view of the evolution of this genus. First, we inferred the phylogenetic relationships using two new approaches, one based on a Mycobacterium-specific amino acid substitution matrix and the other on a gene content dissimilarity matrix. Then, we utilized our recently developed gain-and-death stochastic models to study gene turnover dynamics in this genus in a maximum-likelihood framework. We uncovered a scenario that differs markedly from traditional 16S rRNA data and improves upon recent phylogenomic approaches. We also found that the rates of gene gain and death are high and unevenly distributed both across species and across gene families, further supporting the utility of the new models of rate heterogeneity applied in a phylogenetic context. Finally, the functional annotation of the most expanded or contracted gene families revealed that the transposable elements and the fatty acid metabolism-related gene families are the most important drivers of gene content evolution in Mycobacterium.
机译:分枝杆菌属的物种在几个特征方面有所不同,从地理范围和致病性程度到生态和寄主偏好。最近,对于这些物种中的一些物种,已经有了几个完全测序的基因组,这使得对这种广泛的生活方式多样性的遗传决定因素进行比较研究成为可能。在这里,我们使用来自19个分枝杆菌基因组的信息,应用了两种基于系统发育的互补方法,以更全面地了解该属的进化。首先,我们使用两种新方法推断系统发育关系,一种基于分枝杆菌特异性氨基酸替代矩阵,另一种基于基因含量差异矩阵。然后,我们利用我们最近开发的损益随机模型,以最大似然框架研究了该属的基因更新动态。我们发现了一种场景,该场景与传统的16S rRNA数据明显不同,并且在最近的植物学方法上有所改进。我们还发现,基因获得和死亡的比率很高,并且在物种之间和整个基因家族之间分布不均,这进一步支持了在系统发生背景下应用的比率异质性新模型的实用性。最后,对最扩展或最收缩的基因家族的功能注释显示,转座因子和与脂肪酸代谢相关的基因家族是分枝杆菌基因含量进化的最重要驱动力。

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