TY - JOUR T1 - Recovery of genomes from metagenomes via a dereplication, aggregation, and scoring strategy JF - bioRxiv DO - 10.1101/107789 SP - 107789 AU - Christian M. K. Sieber AU - Alexander J. Probst AU - Allison Sharrar AU - Brian C. Thomas AU - Matthias Hess AU - Susannah G. Tringe AU - Jillian F. Banfield Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/02/11/107789.abstract N2 - 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. ER -