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Tracking reservoirs of antimicrobial resistance genes in microbiota using metagenomic Hi-C

dataset
posted on 2024-01-27, 05:10 authored by Iowa State University
This study aimed at tracking reservoirs of antimicrobial resistance genes in a complex environmental sample using metagenomic Hi-C. A pooled sample of macerated tissues from clinical bovine digital dermatitis lesions was used for this purpose. Genes conferring resistance to tetracycline and other antibiotics commonly used on dairy farms were the targets. Mapping of Hi-C sequences to shotgun sequences resulted in identification of the carriers of these resistance genes. Given that most of the microorganisms involved in the pathogenesis of digital dermatitis are difficult to culture, studying about antimicrobial resistance among them is hardly possible using the conventional methods. However, the novel metagenomic Hi-C, which crosslinks chromosomal and non-chromosomal DNAs together in vivo, has made possible detecting the resistome with their respective bacterial hosts. Tracking reservoirs of resistance genes in a complex microbial community has an immense contribution toward understanding the distribution and transmission of resistance determinants in environments.

Funding

National Institute of Food and Agriculture, 2017‐68003‐26499

Bill and Melinda Gates Foundation, OPP1195084

National Institute of Allergy and Infectious Diseases, R44AI122654 and R44AI150008

Iowa State University, Seed-grant

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2021-02-22

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA704056

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