Application of genomic technologies to measure and monitor antibiotic resistance in animals

Применение геномных технологий для измерения и мониторинга антибиотикорезистентности у животных
Jian‐Qiang Su, Cui Li, Qing‐Lin Chen, Xin‐Li An, Yong‐Guan Zhu
2016-12-20

animal intestinal microbiotaantibiotic resistanceantibiotic resistance genesculture-independent metagenomicssingle-cell genomics
One of the richest reservoirs of antibiotic-resistant bacteria and genes, animal intestinal microbiota contributes to the spread of antibiotic resistance in the environment and, potentially, to human pathogens. Both culture-based genomic technology and culture-independent metagenomics have been developed to investigate the abundance and diversity of antibiotic resistance genes. The characteristics, strengths, limitations, and challenges of these genomic approaches are discussed in this review in the context of antibiotic resistance in animals. We also discuss the advances in single-cell genomics and its potential for surveillance of antibiotic resistance in animals.
1
Animal intestinal microbiota is a major reservoir of antibiotic-resistant bacteria and resistance genes, contributing to environmental dissemination and potentially affecting human pathogens.
2
Culture-based genomic technologies and culture-independent metagenomics enable investigation of antibiotic-resistance gene abundance and diversity in animals.
3
Single-cell genomics is identified as an advancing technology with potential applications in animal antibiotic-resistance surveillance.
4
The review compares the characteristics, strengths, limitations, and challenges of culture-based and metagenomic approaches for monitoring animal antibiotic resistance.

Antibiotic resistance in animal intestinal microbiota

The abundance, diversity, and surveillance of antibiotic resistance genes using culture-based genomics, culture-independent metagenomics, and single-cell genomics

Publication Details
Publication Date
2016-12-20
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Jian‐Qiang Su
Cui Li
Qing‐Lin Chen
Xin‐Li An
Yong‐Guan Zhu
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%