Literature DB >> 36161886

Active antibiotic resistome in soils unraveled by single-cell isotope probing and targeted metagenomics.

Hong-Zhe Li1, Kai Yang1, Hu Liao1,2, Simon Bo Lassen3, Jian-Qiang Su1, Xian Zhang1, Li Cui1, Yong-Guan Zhu1,4.   

Abstract

Antimicrobial resistance (AMR) in soils represents a serious risk to human health through the food chain and human-nature contact. However, the active antibiotic-resistant bacteria (ARB) residing in soils that primarily drive AMR dissemination are poorly explored. Here, single-cell Raman-D2O coupled with targeted metagenomics is developed as a culture-independent approach to phenotypically and genotypically profiling active ARB against clinical antibiotics in a wide range of soils. This method quantifies the prevalence (contamination degree) and activity (spread potential) of soil ARB and reveals a clear elevation with increasing anthropogenic activities such as farming and the creation of pollution, thereby constituting a factor that is critical for the assessment of AMR risks. Further targeted sorting and metagenomic sequencing of the most active soil ARB uncover several uncultured genera and a pathogenic strain. Furthermore, the underlying resistance genes, virulence factor genes, and associated mobile genetic elements (including plasmids, insertion sequences, and prophages) are fully deciphered at the single-cell level. This study advances our understanding of the soil active AMR repertoire by linking the resistant phenome to the genome. It will aid in the risk assessment of environmental AMR and guide the combat under the One Health framework.

Entities:  

Keywords:  antimicrobial resistance; risk assessment; single-cell Raman; targeted metagenomics

Mesh:

Substances:

Year:  2022        PMID: 36161886      PMCID: PMC9546533          DOI: 10.1073/pnas.2201473119

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   12.779


  56 in total

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Journal:  Nat Microbiol       Date:  2016-12-19       Impact factor: 17.745

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Authors:  Yifan Tao; Yun Wang; Shi Huang; Pengfei Zhu; Wei E Huang; Junqi Ling; Jian Xu
Journal:  Anal Chem       Date:  2017-03-24       Impact factor: 6.986

5.  Positive dielectrophoresis-based Raman-activated droplet sorting for culture-free and label-free screening of enzyme function in vivo.

Authors:  Xixian Wang; Yi Xin; Lihui Ren; Zheng Sun; Pengfei Zhu; Yuetong Ji; Chunyu Li; Jian Xu; Bo Ma
Journal:  Sci Adv       Date:  2020-08-07       Impact factor: 14.136

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Journal:  Nat Methods       Date:  2010-04-11       Impact factor: 28.547

7.  MetaWRAP-a flexible pipeline for genome-resolved metagenomic data analysis.

Authors:  Gherman V Uritskiy; Jocelyne DiRuggiero; James Taylor
Journal:  Microbiome       Date:  2018-09-15       Impact factor: 14.650

8.  OrthoFinder: phylogenetic orthology inference for comparative genomics.

Authors:  David M Emms; Steven Kelly
Journal:  Genome Biol       Date:  2019-11-14       Impact factor: 13.583

9.  An omics-based framework for assessing the health risk of antimicrobial resistance genes.

Authors:  An-Ni Zhang; Jeffry M Gaston; Chengzhen L Dai; Shijie Zhao; Mathilde Poyet; Mathieu Groussin; Xiaole Yin; Li-Guan Li; Mark C M van Loosdrecht; Edward Topp; Michael R Gillings; William P Hanage; James M Tiedje; Katya Moniz; Eric J Alm; Tong Zhang
Journal:  Nat Commun       Date:  2021-08-06       Impact factor: 14.919

10.  Microbial Diversity of Browning Peninsula, Eastern Antarctica Revealed Using Molecular and Cultivation Methods.

Authors:  Sarita Pudasaini; John Wilson; Mukan Ji; Josie van Dorst; Ian Snape; Anne S Palmer; Brendan P Burns; Belinda C Ferrari
Journal:  Front Microbiol       Date:  2017-04-07       Impact factor: 5.640

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