Human Resistome Study with Metagenomic Sequencing Data
Author(s) -
Jae Hong Shin,
Mina Rho
Publication year - 2018
Publication title -
hanyang medical reviews
Language(s) - English
Resource type - Journals
eISSN - 2234-4446
pISSN - 1738-429X
DOI - 10.7599/hmr.2018.38.2.73
Subject(s) - resistome , metagenomics , computational biology , microbiome , biology , antibiotic resistance , drug resistance , gene , human microbiome , microbiology and biotechnology , genetics , bioinformatics , antibiotics , genome , mobile genetic elements
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 highthroughput 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.
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