Mar 6, 2019

MetaCHIP: community-level horizontal gene transfer identification through the combination of best-match and phylogenetic approaches

Microbiome
Weizhi SongTorsten Thomas

Abstract

Metagenomic datasets provide an opportunity to study horizontal gene transfer (HGT) on the level of a microbial community. However, current HGT detection methods cannot be applied to community-level datasets or require reference genomes. Here, we present MetaCHIP, a pipeline for reference-independent HGT identification at the community level. Assessment of MetaCHIP's performance on simulated datasets revealed that it can predict HGTs with various degrees of genetic divergence from metagenomic datasets. The results also indicated that the detection of very recent gene transfers (i.e. those with low levels of genetic divergence) from metagenomics datasets is largely affected by the read assembly step. Comparison of MetaCHIP with a previous analysis on soil bacteria showed a high level of consistency for the prediction of recent HGTs and revealed a large number of additional non-recent gene transfers, which can provide new biological and ecological insight. Assessment of MetaCHIP's performance on real metagenomic datasets confirmed the role of HGT in the spread of genes related to antibiotic resistance in the human gut microbiome. Further testing also showed that functions related to energy production and conversion as well as car...Continue Reading

  • References3
  • Citations3

Citations

Mentioned in this Paper

Genetic Drift
Study
Energy Transfer
Genome
Genes
Phylogenetic Analysis
Evaluation
Phylogeny
Metagenomics
Gene Transfer, Horizontal

Related Feeds

Antimicrobial Resistance (ASM)

Antimicrobial resistance poses a significant threat to the continued successful use of antimicrobial agents for the treatment of bacterial infections.

Antimicrobial Resistance

Antimicrobial resistance poses a significant threat to the continued successful use of antimicrobial agents for the treatment of bacterial infections.