将 LINgroups 作为一种可靠的原则性方法来比较和整合多种细菌分类法。

IF 3.6 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Reza Mazloom, N Tessa Pierce-Ward, Parul Sharma, Leighton Pritchard, C Titus Brown, Boris A Vinatzer, Lenwood S Heath
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引用次数: 0

摘要

作为生物学的核心组织原则,细菌和古细菌被划分为从王国到亚种的不同分类等级结构。传统上,这种组织结构是基于可观察到的形态和化学特征,但最近,细菌分类学已经通过基因组测序比较得到了有力的量化,基因组分类数据库(GTDB)就是一个例子。这种基于基因组的分类法将基因组细分为属和种,在很多情况下都很有用,但缺乏细粒度方法的灵活性和分辨率。生命识别码(LIN)方法是一种通用的定量框架,可将现有(和未来)的细菌分类法联系在一起,提高基于基因组的分类法的分辨率,并以一种有原则的方式将分类鉴定扩展到物种级别以下。利用 LINgroup 作为一个组织概念,有助于解决因整体基因组相似性(通常是由于基于基因组的重新分类)而密切相关的微生物命名变化所造成的一些混乱和不可预见的负面影响。我们的实验结果表明了 LINs 和 LINgroups 在分类法之间的映射、不同命名法之间的转换以及将它们整合到单一分类框架中的价值。它们还揭示了在考虑物种内分类群时,LIN分配对超参数变化的稳健性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LINgroups as a Robust Principled Approach to Compare and Integrate Multiple Bacterial Taxonomies.

As a central organizing principle of biology, bacteria and archaea are classified into a hierarchical structure across taxonomic ranks from kingdom to subspecies. Traditionally, this organization was based on observable characteristics of form and chemistry but recently, bacterial taxonomy has been robustly quantified using comparisons of sequenced genomes, as exemplified in the Genome Taxonomy Database (GTDB). Such genome-based taxonomies resolve genomes down to genera and species and are useful in many contexts yet lack the flexibility and resolution of a fine-grained approach. The Life Identification Number (LIN) approach is a common, quantitative framework to tie existing (and future) bacterial taxonomies together, increase the resolution of genome-based discrimination of taxa, and extend taxonomic identification below the species level in a principled way. Utilizing LINgroup as an organizational concept helps resolve some of the confusion and unforeseen negative effects resulting from nomenclature changes of microorganisms that are closely related by overall genomic similarity (often due to genome-based reclassification). Our experimental results demonstrate the value of LINs and LINgroups in mapping between taxonomies, translating between different nomenclatures, and integrating them into a single taxonomic framework. They also reveal the robustness of LIN assignment to hyper-parameter changes when considering within-species taxonomic groups.

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来源期刊
CiteScore
7.50
自引率
6.70%
发文量
479
审稿时长
3 months
期刊介绍: IEEE/ACM Transactions on Computational Biology and Bioinformatics emphasizes the algorithmic, mathematical, statistical and computational methods that are central in bioinformatics and computational biology; the development and testing of effective computer programs in bioinformatics; the development of biological databases; and important biological results that are obtained from the use of these methods, programs and databases; the emerging field of Systems Biology, where many forms of data are used to create a computer-based model of a complex biological system
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