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Recovery of Genomes from Complex Environmental Samples is Greatly Improved using a Novel Analytics Tool 
Published: May 29, 2019
Posted: August 10, 2020

May 29, 2019

The Science
Genomes reconstructed directly from DNA sequences sampled from natural environments have revolutionized scientific understanding of microbial diversity and evolution. While this process can be difficult, a new automated method called DAS Tool integrates a flexible number of binning algorithms to calculate an optimized, non-redundant set of bins from a single assembly, thereby greatly improving the recovery of genomes from natural environments.

The Impact
The recovery of genomes, especially from complex environments such as soil, will be facilitated by the new automated DAS Tool.

Understanding of the metabolic capacities of microorganisms in natural environments is critical to prediction of ecosystem function. Analysis of organism-specific metabolic pathways and reconstruction of community interaction networks requires high-quality genomes. However, existing binning methods often fail to reconstruct a reasonable number of genomes and report many bins of low quality and completeness. Furthermore, the performance of existing algorithms varies between samples and environment types. A dereplication, aggregation and scoring strategy, DAS Tool, was developed. This algorithm combines the strengths of a flexible set of established binning algorithms. DAS Tool applied to a constructed community generated more accurate bins than any automated method. Indeed, when applied to environmental and host-associated samples of different complexity, DAS Tool recovered substantially more near-complete genomes, including those for organisms from previously unreported lineages, than any single binning method alone. The ability to reconstruct many near-complete genomes from metagenomics data will greatly advance genome-centric analyses of ecosystems.

BER Program Manager
Paul Bayer
Department of Energy

Principal Investigator
Jillian Banfield
University of California, Berkeley

This work was supported in part by the Office of Biological and Environmental Research withn the U.S. Department of Energy Office of Science.

C.M.K. Sieber, A.J. Probst, A. Sharrar, B.C. Thomas, M. Hess, S.G. Tringe, and J.F. Banfield “Recovery of genomes from metagenomes via a dereplication, aggregation and scoring strategy.” Nature Microbiology 3, 836 (2018). [DOI:10.1038/s41564-018-0171-1].

Topic Areas:

  • Research Area: Subsurface Biogeochemical Research
  • Research Area: Genomic Analysis and Systems Biology
  • Research Area: Microbes and Communities

Division: SC-33.1 Earth and Environmental Sciences Division, BER


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