The University of Queensland, School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, Brisbane, QLD 4072, Australia.
University of South Florida, Department of Integrative Biology, Tampa, FL 33620, USA.
Trends Microbiol. 2022 Sep;30(9):831-840. doi: 10.1016/j.tim.2022.02.001. Epub 2022 Feb 25.
Modern microbial taxonomy generally relies on the use of single marker genes or sets of concatenated genes to generate a framework for the delineation and classification of organisms at different taxonomic levels. However, given that DNA is the 'blueprint of life', and hence the ultimate arbiter of taxonomy, classification systems should attempt to use as much of the blueprint as possible to capture a comprehensive phylogenetic signal. Recent analysis of whole-genome sequences from coral reef symbionts (dinoflagellates of the family Symbiodiniaceae) and other microalgal groups has uncovered extensive divergence not recognised by current algal taxonomic approaches. In the era of 'sequence everything', we argue that whole-genome data are pivotal to guide informed taxonomic inference, particularly for microbial eukaryotes.
现代微生物分类学通常依赖于使用单一的标记基因或串联的基因集合来为不同分类水平的生物划定和分类提供框架。然而,鉴于 DNA 是“生命的蓝图”,也是分类学的最终裁决者,分类系统应该尝试尽可能多地利用蓝图,以捕捉全面的系统发育信号。最近对珊瑚礁共生体(Symbiodiniaceae 科的甲藻)和其他微藻类群的全基因组序列的分析揭示了当前藻类分类方法未识别的广泛分歧。在“测序一切”的时代,我们认为全基因组数据对于指导有意义的分类推断至关重要,特别是对于微生物真核生物。