基因组
微生物群
计算生物学
生物
基因组
进化生物学
遗传学
生物信息学
基因
作者
Dylan Chivian,Sean P. Jungbluth,Paramvir Dehal,Elisha M. Wood‐Charlson,R. S. Canon,Benjamin Allen,Mikayla M. Clark,Tianhao Gu,Miriam Land,Gavin A Price,William J. Riehl,Michael W. Sneddon,Roman A. Sutormin,Qizhi Zhang,Robert W. Cottingham,Chris Henry,Adam P. Arkin
出处
期刊:Nature Protocols
[Springer Nature]
日期:2022-11-14
卷期号:18 (1): 208-238
被引量:25
标识
DOI:10.1038/s41596-022-00747-x
摘要
Uncultivated Bacteria and Archaea account for the vast majority of species on Earth, but obtaining their genomes directly from the environment, using shotgun sequencing, has only become possible recently. To realize the hope of capturing Earth's microbial genetic complement and to facilitate the investigation of the functional roles of specific lineages in a given ecosystem, technologies that accelerate the recovery of high-quality genomes are necessary. We present a series of analysis steps and data products for the extraction of high-quality metagenome-assembled genomes (MAGs) from microbiomes using the U.S. Department of Energy Systems Biology Knowledgebase (KBase) platform ( http://www.kbase.us/ ). Overall, these steps take about a day to obtain extracted genomes when starting from smaller environmental shotgun read libraries, or up to about a week from larger libraries. In KBase, the process is end-to-end, allowing a user to go from the initial sequencing reads all the way through to MAGs, which can then be analyzed with other KBase capabilities such as phylogenetic placement, functional assignment, metabolic modeling, pangenome functional profiling, RNA-Seq and others. While portions of such capabilities are available individually from other resources, the combination of the intuitive usability, data interoperability and integration of tools in a freely available computational resource makes KBase a powerful platform for obtaining MAGs from microbiomes. While this workflow offers tools for each of the key steps in the genome extraction process, it also provides a scaffold that can be easily extended with additional MAG recovery and analysis tools, via the KBase software development kit (SDK). This protocol provides analysis steps for the extraction of high-quality metagenome-assembled genomes from microbiomes and their subsequent analysis using the U.S. Department of Energy Systems Biology Knowledgebase (KBase) platform ( http://www.kbase.us/ ).
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