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Finding Candida auris in public metagenomic repositories.

Authors :
Jorge E Mario-Vasquez
Ujwal R Bagal
Elijah Lowe
Aleksandr Morgulis
John Phan
D Joseph Sexton
Sergey Shiryev
Rytis Slatkevičius
Rory Welsh
Anastasia P Litvintseva
Matthew Blumberg
Richa Agarwala
Nancy A Chow
Source :
PLoS ONE, Vol 19, Iss 1, p e0291406 (2024)
Publication Year :
2024
Publisher :
Public Library of Science (PLoS), 2024.

Abstract

Candida auris is a newly emerged multidrug-resistant fungus capable of causing invasive infections with high mortality. Despite intense efforts to understand how this pathogen rapidly emerged and spread worldwide, its environmental reservoirs are poorly understood. Here, we present a collaborative effort between the U.S. Centers for Disease Control and Prevention, the National Center for Biotechnology Information, and GridRepublic (a volunteer computing platform) to identify C. auris sequences in publicly available metagenomic datasets. We developed the MetaNISH pipeline that uses SRPRISM to align sequences to a set of reference genomes and computes a score for each reference genome. We used MetaNISH to scan ~300,000 SRA metagenomic runs from 2010 onwards and identified five datasets containing C. auris reads. Finally, GridRepublic has implemented a prospective C. auris molecular monitoring system using MetaNISH and volunteer computing.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
19
Issue :
1
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.36008c2135d5470990495d1af0d62730
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0291406&type=printable