Recovering Individual Genomes from Metagenomes Using MaxBin 2.0

Yu Wei Wu, Steven W. Singer

Research output: Contribution to journalArticlepeer-review

Abstract

It is critical to identify individual genomes from microbiomic samples in order to carry out analysis of the microbes. Methods based on existing databases, however, may have limited capabilities in elucidating and quantifying the microbes due to the largely unidentified microbial species in natural or human-associated environments. We thus developed a database-free method, MaxBin 2.0, to aid in the process of recovering microbial genomes from metagenomes in a de novo manner. The recovery of individual genomes allows analysis of the microbiome in terms of a collection of microbial genomes so that one can understand the functional roles of each species. The data of individual microbes may then be analyzed collectively to untangle the interactions between different microbial organisms. By reporting the genome abundance information for co-assembled metagenomes, one may also identify which microorganisms dominate the microbiome and which species may co-occur from the MaxBin 2.0 results.

Original languageEnglish
Article numbere128
JournalCurrent Protocols
Volume1
Issue number5
DOIs
Publication statusPublished - May 2021

Keywords

  • binning
  • genome recovery
  • MaxBin
  • metagenome

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Pharmacology, Toxicology and Pharmaceutics(all)
  • Neuroscience(all)
  • Immunology and Microbiology(all)
  • Health Informatics
  • Medical Laboratory Technology
  • Medicine(all)

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