Details

Autor(en) / Beteiligte

• Chivian, Dylan
• Jungbluth, Sean P
• Dehal, Paramvir S
• Wood-Charlson, Elisha M
• Canon, Richard S
• Allen, Benjamin H
• Clark, Mikayla M
• Gu, Tianhao
• Land, Miriam L
• Price, Gavin A
• Riehl, William J
• Sneddon, Michael W
• Sutormin, Roman
• Zhang, Qizhi
• Cottingham, Robert W
• Henry, Chris S
• Arkin, Adam P

Titel

Metagenome-assembled genome extraction and analysis from microbiomes using KBase

Ist Teil von

• Nature protocols, 2023-01, Vol.18 (1), p.208-238

Ort / Verlag

England: Nature Publishing Group

Erscheinungsjahr

2023

Quelle

MEDLINE

Beschreibungen/Notizen

• 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).