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Phylogeny Inference of Closely Related Bacterial Genomes: Combining the Features of Both Overlapping Genes and Collinear Genomic Regions

机译:密切相关的细菌基因组的系统发育推断:结合重叠基因和共线基因组区域的特征。

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摘要

Overlapping genes (OGs) represent one type of widespread genomic feature in bacterial genomes and have been used as rare genomic markers in phylogeny inference of closely related bacterial species. However, the inference may experience a decrease in performance for phylogenomic analysis of too closely or too distantly related genomes. Another drawback of OGs as phylogenetic markers is that they usually take little account of the effects of genomic rearrangement on the similarity estimation, such as intra-chromosome/genome translocations, horizontal gene transfer, and gene losses. To explore such effects on the accuracy of phylogeny reconstruction, we combine phylogenetic signals of OGs with collinear genomic regions, here called locally collinear blocks (LCBs). By putting these together, we refine our previous metric of pairwise similarity between two closely related bacterial genomes. As a case study, we used this new method to reconstruct the phylogenies of 88 Enterobacteriale genomes of the class Gammaproteobacteria. Our results demonstrated that the topological accuracy of the inferred phylogeny was improved when both OGs and LCBs were simultaneously considered, suggesting that combining these two phylogenetic markers may reduce, to some extent, the influence of gene loss on phylogeny inference. Such phylogenomic studies, we believe, will help us to explore a more effective approach to increasing the robustness of phylogeny reconstruction of closely related bacterial organisms.
机译:重叠基因(OG)代表细菌基因组中一种广泛的基因组特征,并已被用作与密切相关的细菌物种的系统发育推断中的罕见基因组标记。但是,对于相关性太近或太远的基因组进行系统生物学分析,推断可能会降低性能。 OGs作为系统发育标记的另一个缺点是,它们通常很少考虑基因组重排对相似性估计的影响,例如染色体内/基因组易位,水平基因转移和基因损失。为了探索这种对系统发育重建准确性的影响,我们将OG的系统发育信号与共线基因组区域(此处称为局部共线模块(LCB))结合起来。通过将它们放在一起,我们完善了我们先前在两个紧密相关的细菌基因组之间的成对相似性度量。作为案例研究,我们使用了这种新方法来重建88个肠丙种细菌级肠杆菌基因组的系统发育。我们的结果表明,同时考虑OGs和LCBs可以提高推断系统发育的拓扑准确性,这表明结合这两种系统发育标记可以在一定程度上减少基因丢失对系统发育推断的影响。我们相信,这样的系统生物学研究将帮助我们探索更有效的方法,以提高紧密相关细菌生物的系统发育重建的鲁棒性。

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