RT Journal Article SR Electronic T1 Recovery of genomes from metagenomes via a dereplication, aggregation, and scoring strategy JF bioRxiv FD Cold Spring Harbor Laboratory SP 107789 DO 10.1101/107789 A1 Christian M. K. Sieber A1 Alexander J. Probst A1 Allison Sharrar A1 Brian C. Thomas A1 Matthias Hess A1 Susannah G. Tringe A1 Jillian F. Banfield YR 2017 UL http://biorxiv.org/content/early/2017/02/11/107789.abstract AB Microbial communities are critical to ecosystem function. A key objective of metagenomic studies is to analyse organism-specific metabolic pathways and reconstruct community interaction networks. This requires accurate assignment of assembled genome fragments to genomes. 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 biotopes. Here, we present a dereplication, aggregation and scoring strategy, DAS Tool, that 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. Further, when applied to environmental and host-associated samples of different complexity, DAS Tool recovered substantially more near-complete genomes, including novel 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.