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从宏基因组学和宏转录组学角度理解抗菌药物发现和耐药性:进展与应用。

Understanding antimicrobial discovery and resistance from a metagenomic and metatranscriptomic perspective: advances and applications.

机构信息

School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.

Department of Medical Microbiology, School of Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.

出版信息

Environ Microbiol Rep. 2019 Apr;11(2):62-86. doi: 10.1111/1758-2229.12735. Epub 2019 Feb 14.

Abstract

Our inability to cultivate most microorganisms, specifically bacteria, in the laboratory has for many years restricted our view and understanding of the bacterial meta-resistome in all living and nonliving environments. As a result, reservoirs, sources and distribution of antibiotic resistance genes (ARGS) and antibiotic-producers, as well as the effects of human activity and antibiotics on the selection and dissemination of ARGs were not well comprehended. With the advances made in the fields of metagenomics and metatranscriptomics, many of the hitherto little-understood concepts are becoming clearer. Further, the discovery of antibiotics such as lugdinin and lactocillin from the human microbiota, buttressed the importance of these new fields. Metagenomics and metatranscriptomics are becoming important clinical diagnostic tools for screening and detecting pathogens and ARGs, assessing the effects of antibiotics, other xenobiotics and human activity on the environment, characterizing the microbiome and the environmental resistome with lesser turnaround time and decreasing cost, as well as discovering antibiotic-producers. However, challenges with accurate binning, skewed ARGs databases, detection of less abundant and allelic variants of ARGs and efficient mobilome characterization remain. Ongoing efforts in long-read, phased- and single-cell sequencing, strain-resolved binning, chromosomal-conformation capture, DNA-methylation binning and deep-learning bioinformatic approaches offer promising prospects in reconstructing complete strain-level genomes and mobilomes from metagenomes.

摘要

多年来,我们无法在实验室中培养大多数微生物,尤其是细菌,这限制了我们对所有生物和非生物环境中细菌元耐药组的观察和理解。因此,抗生素耐药基因(ARG)和抗生素产生菌的储库、来源和分布,以及人类活动和抗生素对 ARG 选择和传播的影响都没有得到很好的理解。随着宏基因组学和宏转录组学领域的进步,许多迄今为止理解甚少的概念变得更加清晰。此外,从人类微生物群中发现了 lugdinin 和 lactocillin 等抗生素,这也证明了这些新领域的重要性。宏基因组学和宏转录组学正在成为筛选和检测病原体和 ARG、评估抗生素、其他外源性化学物质和人类活动对环境的影响、描述微生物组和环境耐药组的重要临床诊断工具,其具有更小的周转时间和更低的成本,并且能够发现抗生素产生菌。然而,在准确分类、偏斜的 ARG 数据库、检测较少丰度和等位基因变异的 ARG 以及有效描述移动组方面仍然存在挑战。目前,长读长、相分离和单细胞测序、菌株分辨分类、染色体构象捕获、DNA 甲基化分类和深度学习生物信息学方法的持续努力,为从宏基因组中重建完整的菌株水平基因组和移动组提供了有希望的前景。

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