Hanyang Med Rev.  2018 Jun;38(2):73-79. 10.7599/hmr.2018.38.2.73.

Human Resistome Study with Metagenomic Sequencing Data

Affiliations
  • 1Department of Computer Science and Engineering, College of Engineering, Hanyang University, Seoul, Korea. minarho@hanyang.ac.kr
  • 2Department of Biomedical Informatics, Hanyang University, Seoul, Korea.

Abstract

With the introduction of synthetic antibiotics, many lives including humans and animals have been saved against bacterial infection. An increasing level of antibiotics use, however, raises serious problems of multi-drug resistance and transferring of resistance genes across different environments and countries. Advances in high-throughput sequencing technology and efficient bioinformatics methods allow us to perform a large-scale screening and analysis of resistomes in the human and environmental microbiomes. Recent studies on human microbiomes have revealed a diverse distribution of resistance genes and their transferring activities in the communities. This review discusses recent progresses in metagenomic approaches to identify resistance genes in the human microbiome, including genomic sequence search and functional metagenomics methods. Using Rifampicin ADP-ribosyltransferase as an example, an integrative approach that analyzes the sequences and three-dimensional structures of the proteins derived from resistance genes is also introduced.

Keyword

Human microbiome; Metagenome; Antibiotics resistance

MeSH Terms

ADP Ribose Transferases
Animals
Anti-Bacterial Agents
Bacterial Infections
Computational Biology
Drug Resistance, Multiple
Humans*
Mass Screening
Metagenome
Metagenomics*
Microbiota
Rifampin
ADP Ribose Transferases
Anti-Bacterial Agents
Rifampin
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