生物
系统发育树
系统发育学
基因组
进化生物学
病毒进化
遗传学
古细菌
基因组
亚科
基因
计算生物学
作者
Soo Jen Low,Mária Džunková,Pierre-Alain Chaumeil,Donovan H. Parks,Philip Hugenholtz
出处
期刊:Nature microbiology
日期:2019-05-20
卷期号:4 (8): 1306-1315
被引量:87
标识
DOI:10.1038/s41564-019-0448-z
摘要
Viruses of bacteria and archaea are important players in global carbon cycling as well as drivers of host evolution, yet the taxonomic classification of viruses remains a challenge due to their genetic diversity and absence of universally conserved genes. Traditional classification approaches employ a combination of phenotypic and genetic information which is no longer scalable in the era of bulk viral genome recovery through metagenomics. Here, we evaluate a phylogenetic approach for the classification of tailed double-stranded DNA viruses from the order Caudovirales by inferring a phylogeny from the concatenation of 77 single-copy protein markers using a maximum-likelihood method. Our approach is largely consistent with the International Committee on Taxonomy of Viruses, with 72 and 89% congruence at the subfamily and genus levels, respectively. Discrepancies could be attributed to misclassifications and a small number of highly mosaic genera confounding the phylogenetic signal. We also show that confidently resolved nodes in the concatenated protein tree are highly reproducible across different software and models, and conclude that the approach can serve as a framework for a rank-normalized taxonomy of most tailed double-stranded DNA viruses. Phylogenetic analysis based on a concatenated set of 77 single-copy marker genes enabled the classification of tailed double-stranded DNA viruses from large datasets, and was reproducible across software and models, providing a framework that could be applied to other viruses.
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