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A. Murat Eren

Publications and source records attributed to A. Murat Eren.

2 recordsLinked to original sources

De novo extraction of microbial strains from metagenomes reveals intra-species niche partitioning

BackgroundWe introduce DESMAN for De novo Extraction of Strains from MetAgeNomes. Metagenome sequencing generates short reads from throughout the genomes of a microbial community. Increasingly large, multi-sample metagenomes, stratified in space and time are being generated from communities with thousands of species. Repeats result in fragmentary co-assemblies with potentially millions of contigs. Contigs can be binned into metagenome assembled genomes (MAGs) but strain level variation will remain. DESMAN identifies variants on core genes, then uses co-occurrence across samples to link variants into strain sequences and abundance profiles. These strain profiles are then searched for on non-core genes to determine the accessory genes present in each strain.\n\nResultsWe validated DESMAN on a synthetic twenty genome community with 64 samples. We could resolve the five E. coli strains present with 99.58% accuracy across core gene variable sites and their gene complement with 95.7% accuracy. Similarly, on real fecal metagenomes from the 2011 E. coli (STEC) O104:H4 outbreak, the outbreak strain was reconstructed with 99.8% core sequence accuracy. Application to an anaerobic digester metagenome time series reveals that strain level variation is endemic with 16 out of 26 MAGs (61.5%) examined exhibiting two strains. In almost all cases the strain proportions were not statistically different between replicate reactors, suggesting intra-species niche partitioning. The only exception being when the two strains had almost identical gene complement and, hence, functional capability.\n\nConclusionsDESMAN will provide a provide a powerful tool for de novo resolution of fine-scale variation in microbial communities. It is available as open source software from https://github.com/chrisquince/DESMAN.

Bioinformatics

Linking comparative genomics and environmental distribution patterns of microbial populations through metagenomics

Combining well-established practices from comparative genomics and the emerging opportunities from assembly-based metagenomics can enhance the utility of increasing number of metagenome-assembled genomes (MAGs). Here we used protein clustering to characterize 48 MAGs and 10 cultivars based on their entire gene content, and linked this information to their environmental distribution patterns to better understand the microbial response to the 2010 Deepwater Horizon oil spill in the Gulf of Mexico coastline. Our results suggest that while most oil-associated bacterial populations originated from the ocean, a few actually emerged from the sand rare biosphere. These new findings suggest that there are considerable benefits to employ approaches from comparative genomics to study the whole content of newly identified genomes, and the investigation of emerging patterns in the environmental context can augment the efficacy of assembly-based metagenomic surveys.

Microbiology