Metagenomic survey of antimicrobial resistance (AMR) in Maryland surface waters differentiated by high and low human impact-Reference-Cited by-同舟云学术

Metagenomic survey of antimicrobial resistance (AMR) in Maryland surface waters differentiated by high and low human impact

Published:2024-01-17 Issue:1 Volume:13 Page:
ISSN:2576-098X
Container-title:Microbiology Resource Announcements
language:en
Short-container-title:Microbiol Resour Announc

Author:

Kocurek Brandon¹^ORCID,Behling Shawn²,Martin Gordon¹,Ramachandran Padmini³^ORCID,Reed Elizabeth³,Grim Christopher³,Mammel Mark³^ORCID,Zheng Jie³^ORCID,Franklin Alison⁴,Garland Jay⁴,Tadesse Daniel A.¹,Sharma Manan⁵^ORCID,Tyson Gregory H.¹^ORCID,Kabera Claudine¹,Tate Heather¹,McDermott Patrick F.¹^ORCID,Strain Errol¹,Ottesen Andrea¹^ORCID

Affiliation:

1. Center for Veterinary Medicine, United States Food and Drug Administration , Laurel, Maryland, USA

2. Washington Department of Fish and Wildlife , Seattle, Washington, USA

3. Center for Food Safety and Applied Nutrition, United States Food and Drug Administration , College Park, Maryland, USA

4. Center for Environmental Measurement and Modeling, United States Environmental Protection Agency , Cincinnati, Ohio, USA

5. Environmental Microbial & Food Safety Lab, United States Department of Agriculture , Beltsville, Maryland, USA

Abstract

ABSTRACT Here, we examine surface waters as a modality to better understand baseline antimicrobial resistance (AMR) across the environment to supplement existing AMR monitoring in pathogens associated with humans, foods, and animals. Data from metagenomic and quasimetagenomic (shotgun sequenced enrichments) are used to describe AMR in Maryland surface waters from high and low human impact classifications.

Funder

National Antimicrobial Resistance Monitoring System

NARMS

Publisher

American Society for Microbiology

Subject

Genetics,Immunology and Microbiology (miscellaneous),Molecular Biology

Link

https://journals.asm.org/doi/pdf/10.1128/mra.00477-23

Reference11 articles.

1. NARMS . 2021. The national antimicrobial resistance monitoring system strategic plan 2021-2025

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4. MEGARes 2.0: a database for classification of antimicrobial drug, biocide and metal resistance determinants in metagenomic sequence data

5. AMRFinderPlus and the Reference Gene Catalog facilitate examination of the genomic links among antimicrobial resistance, stress response, and virulence

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