Finding Candida auris in public metagenomic repositories.
Jorge E Mario-VasquezUjwal R BagalElijah LoweAleksandr MorgulisJohn PhanD Joseph SextonSergey ShiryevRytis SlatkevičiusRory WelshAnastasia P LitvintsevaMatthew BlumbergRicha AgarwalaNancy A ChowPublished in: PloS one (2024)
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.
Keyphrases
- multidrug resistant
- candida albicans
- quality improvement
- antibiotic resistance genes
- computed tomography
- healthcare
- biofilm formation
- mental health
- drug resistant
- rna seq
- type diabetes
- cardiovascular events
- magnetic resonance
- gene expression
- genome wide
- high throughput
- magnetic resonance imaging
- acinetobacter baumannii
- gram negative
- escherichia coli
- pseudomonas aeruginosa
- climate change
- single cell
- single molecule
- cystic fibrosis
- social media
- klebsiella pneumoniae
- adverse drug
- contrast enhanced
- life cycle