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Finding Candida auris in public metagenomic repositories.

Authors :
Mario-Vasquez JE
Bagal UR
Lowe E
Morgulis A
Phan J
Sexton DJ
Shiryev S
Slatkevičius R
Welsh R
Litvintseva AP
Blumberg M
Agarwala R
Chow NA
Source :
PloS one [PLoS One] 2024 Jan 19; Vol. 19 (1), pp. e0291406. Date of Electronic Publication: 2024 Jan 19 (Print Publication: 2024).
Publication Year :
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.<br />Competing Interests: The authors have declared that no competing interests exist.<br /> (Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.)

Details

Language :
English
ISSN :
1932-6203
Volume :
19
Issue :
1
Database :
MEDLINE
Journal :
PloS one
Publication Type :
Academic Journal
Accession number :
38241320
Full Text :
https://doi.org/10.1371/journal.pone.0291406