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Meta-Analysis of General Bacterial Subclades in Whole-Genome Phylogenies Using Tree Topology Profiling

机译:使用树形拓扑分析对全基因组系统发育中一般细菌亚群进行荟萃分析

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摘要

In the last two decades, a large number of whole-genome phylogenies have been inferred to reconstruct the Tree of Life (ToL). Underlying data models range from gene or functionality content in species to phylogenetic gene family trees and multiple sequence alignments of concatenated protein sequences. Diversity in data models together with the use of different tree reconstruction techniques, disruptive biological effects and the steadily increasing number of genomes have led to a huge diversity in published phylogenies. Comparison of those and, moreover, identification of the impact of inference properties (underlying data model, inference technique) on particular reconstructions is almost impossible. In this work, we introduce tree topology profiling as a method to compare already published whole-genome phylogenies. This method requires visual determination of the particular topology in a drawn whole-genome phylogeny for a set of particular bacterial clans. For each clan, neighborhoods to other bacteria are collected into a catalogue of generalized alternative topologies. Particular topology alternatives found for an ordered list of bacterial clans reveal a topology profile that represents the analyzed phylogeny. To simulate the inhomogeneity of published gene content phylogenies we generate a set of seven phylogenies using different inference techniques and the SYSTERS-PhyloMatrix data model. After tree topology profiling on in total 54 selected published and newly inferred phylogenies, we separate artefactual from biologically meaningful phylogenies and associate particular inference results (phylogenies) with inference background (inference techniques as well as data models). Topological relationships of particular bacterial species groups are presented. With this work we introduce tree topology profiling into the scientific field of comparative phylogenomics.
机译:在过去的二十年中,已经推断出大量的全基因组系统发育可以重建生命之树(ToL)。潜在的数据模型范围从物种中的基因或功​​能性内容到系统发育基因家族树和串联蛋白序列的多个序列比对。数据模型的多样性以及使用不同的树木重建技术,破坏性的生物学效应以及基因组数量的稳定增长已导致已发表系统发育中的巨大多样性。将这些内容进行比较,以及识别推理属性(基础数据模型,推理技术)对特定重构的影响几乎是不可能的。在这项工作中,我们介绍了树形拓扑分析,以此作为比较已发布的全基因组系统发育的方法。该方法需要视觉确定一组特定细菌家族在绘制的全基因组系统发育中的特定拓扑。对于每个氏族,其他细菌的邻域都被收集到广义替代拓扑目录中。针对细菌氏族的有序列表找到的特定拓扑替代方案显示了代表已分析系统发育的拓扑图。为了模拟已发布基因内容的系统发育不均一性,我们使用不同的推理技术和SYSTERS-PhyloMatrix数据模型生成了七个系统发育集。在对总共54个选定的已发布和新推断的系统发育树进行树形拓扑分析后,我们将人工制品与生物学上有意义的系统发育树分开,并将特定的推断结果(系统发育树)与推断背景(推断技术以及数据模型)相关联。介绍了特定细菌物种组的拓扑关系。通过这项工作,我们将树形拓扑分析引入到比较系统基因组学的科学领域。

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