SourceFinder: a Machine-Learning-Based Tool for Identification of Chromosomal, Plasmid, and Bacteriophage Sequences from Assemblies-Reference-Cited by-同舟云学术

SourceFinder: a Machine-Learning-Based Tool for Identification of Chromosomal, Plasmid, and Bacteriophage Sequences from Assemblies

Published:2022-12-21 Issue:6 Volume:10 Page:
ISSN:2165-0497
Container-title:Microbiology Spectrum
language:en
Short-container-title:Microbiol Spectr

Author:

Aytan-Aktug Derya¹^ORCID,Grigorjev Vladislav¹,Szarvas Judit¹^ORCID,Clausen Philip T. L. C.¹^ORCID,Munk Patrick¹^ORCID,Nguyen Marcus²³⁴^ORCID,Davis James J.²³⁴^ORCID,Aarestrup Frank M.¹^ORCID,Lund Ole¹^ORCID

Affiliation:

1. National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark

2. Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA

3. Data Science and Learning Division, Argonne National Laboratory, Argonne, Illinois, USA

4. Northwestern Argonne Institute for Science and Engineering, Evanston, Illinois, USA

Abstract

Extra-chromosomal genes encoding antimicrobial resistance, metal resistance, and virulence provide selective advantages for bacterial survival under stress conditions and pose serious threats to human and animal health. These accessory genes can impact the composition of microbiomes by providing selective advantages to their hosts.

Funder

HHS | NIH | National Institute of Allergy and Infectious Diseases

Novo Nordisk Fonden

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Cell Biology,Microbiology (medical),Genetics,General Immunology and Microbiology,Ecology,Physiology

Link

https://journals.asm.org/doi/pdf/10.1128/spectrum.02641-22

Reference42 articles.

1. Horizontal gene transfer: building the web of life

2. Horizontal Gene Transfer and Its Association with Antibiotic Resistance in the Genus Aeromonas spp.