Theoretical Biology and Bioinformatics, Science for Life, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands; Institute of Bioloversity, Faculty of Biological Sciences, Cluster of Excellence Balance of the Microverse, Friedrich-Schiller-University Jena, 07743, Jena, Germany.
The Biodesign Center of Fundamental and Applied Microbiomics, School of Life Sciences, Center for Evolution and Medicine, Arizona State University, Tempe, AZ 85287, USA; Structural Biology Research Unit, Department of Integrative Biomedical Sciences, University of Cape Town, 7925, Cape Town, South Africa.
Curr Opin Virol. 2021 Dec;51:207-215. doi: 10.1016/j.coviro.2021.10.011. Epub 2021 Nov 12.
Historically, virus taxonomy has been limited to describing viruses that were readily cultivated in the laboratory or emerging in natural biomes. Metagenomic analyses, single-particle sequencing, and database mining efforts have yielded new sequence data on an astounding number of previously unknown viruses. As metagenomes are relatively free of biases, these data provide an unprecedented insight into the vastness of the virosphere, but to properly value the extent of this diversity it is critical that the viruses are taxonomically classified. Inclusion of uncultivated viruses has already improved the process as well as the understanding of the taxa, viruses, and their evolutionary relationships. The continuous development and testing of computational tools will be required to maintain a dynamic virus taxonomy that can accommodate the new discoveries.
从历史上看,病毒分类学一直局限于描述那些易于在实验室中培养或在自然生物群落中出现的病毒。宏基因组分析、单颗粒测序和数据库挖掘工作已经产生了大量以前未知病毒的新序列数据。由于宏基因组相对没有偏见,这些数据为了解广阔的病毒圈提供了前所未有的视角,但要正确评估这种多样性的程度,就必须对病毒进行分类学分类。包含未培养的病毒已经改进了这一过程,以及对病毒、病毒类群及其进化关系的理解。为了保持一个能够容纳新发现的动态病毒分类学,需要不断开发和测试计算工具。