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The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada
A Candida auris outbreak has been ongoing in Southern Nevada since August 2021. In this manuscript we describe the sequencing of over 200 C. auris isolates from patients at several facilities. Genetically distinct subgroups of C. auris were detected from Clade I (3 distinct lineages) and III (1 line...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374848/ https://www.ncbi.nlm.nih.gov/pubmed/37522005 http://dx.doi.org/10.3389/fpubh.2023.1198189 |
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author | Gorzalski, Andrew Ambrosio, Frank J. Massic, Lauryn Scribner, Michelle R. Siao, Danielle Denise Hua, Chi Dykema, Phillip Schneider, Emily Njoku, Chidinma Libuit, Kevin Sevinsky, Joel R. Van Hooser, Stephanie Pandori, Mark Hess, David |
author_facet | Gorzalski, Andrew Ambrosio, Frank J. Massic, Lauryn Scribner, Michelle R. Siao, Danielle Denise Hua, Chi Dykema, Phillip Schneider, Emily Njoku, Chidinma Libuit, Kevin Sevinsky, Joel R. Van Hooser, Stephanie Pandori, Mark Hess, David |
author_sort | Gorzalski, Andrew |
collection | PubMed |
description | A Candida auris outbreak has been ongoing in Southern Nevada since August 2021. In this manuscript we describe the sequencing of over 200 C. auris isolates from patients at several facilities. Genetically distinct subgroups of C. auris were detected from Clade I (3 distinct lineages) and III (1 lineage). Open-source bioinformatic tools were developed and implemented to aid in the epidemiological investigation. The work herein compares three methods for C. auris whole genome analysis: Nullarbor, MycoSNP and a new pipeline TheiaEuk. We also describe a novel analysis method focused on elucidating phylogenetic linkages between isolates within an ongoing outbreak. Moreover, this study places the ongoing outbreaks in a global context utilizing existing sequences provided worldwide. Lastly, we describe how the generated results were communicated to the epidemiologists and infection control to generate public health interventions. |
format | Online Article Text |
id | pubmed-10374848 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103748482023-07-29 The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada Gorzalski, Andrew Ambrosio, Frank J. Massic, Lauryn Scribner, Michelle R. Siao, Danielle Denise Hua, Chi Dykema, Phillip Schneider, Emily Njoku, Chidinma Libuit, Kevin Sevinsky, Joel R. Van Hooser, Stephanie Pandori, Mark Hess, David Front Public Health Public Health A Candida auris outbreak has been ongoing in Southern Nevada since August 2021. In this manuscript we describe the sequencing of over 200 C. auris isolates from patients at several facilities. Genetically distinct subgroups of C. auris were detected from Clade I (3 distinct lineages) and III (1 lineage). Open-source bioinformatic tools were developed and implemented to aid in the epidemiological investigation. The work herein compares three methods for C. auris whole genome analysis: Nullarbor, MycoSNP and a new pipeline TheiaEuk. We also describe a novel analysis method focused on elucidating phylogenetic linkages between isolates within an ongoing outbreak. Moreover, this study places the ongoing outbreaks in a global context utilizing existing sequences provided worldwide. Lastly, we describe how the generated results were communicated to the epidemiologists and infection control to generate public health interventions. Frontiers Media S.A. 2023-07-13 /pmc/articles/PMC10374848/ /pubmed/37522005 http://dx.doi.org/10.3389/fpubh.2023.1198189 Text en Copyright © 2023 Gorzalski, Ambrosio, Massic, Scribner, Siao, Hua, Dykema, Schneider, Njoku, Libuit, Sevinsky, Van Hooser, Pandori and Hess. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Gorzalski, Andrew Ambrosio, Frank J. Massic, Lauryn Scribner, Michelle R. Siao, Danielle Denise Hua, Chi Dykema, Phillip Schneider, Emily Njoku, Chidinma Libuit, Kevin Sevinsky, Joel R. Van Hooser, Stephanie Pandori, Mark Hess, David The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada |
title | The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada |
title_full | The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada |
title_fullStr | The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada |
title_full_unstemmed | The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada |
title_short | The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada |
title_sort | use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of candida auris in southern nevada |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374848/ https://www.ncbi.nlm.nih.gov/pubmed/37522005 http://dx.doi.org/10.3389/fpubh.2023.1198189 |
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