Combined comparative genomics and clinical modeling reveals plasmid-encoded genes are independently associated with Klebsiella infection

Patient variables, such as comorbidities, partially explain which patients will progress to Klebsiella infection, with colonization of the gut acting as a reservoir. Little is known, however, regarding Klebsiella genes that may increase risk of disease in colonized individuals. Here, authors conduct...

Full description

Bibliographic Details
Main Authors: Jay Vornhagen, Emily K. Roberts, Lavinia Unverdorben, Sophia Mason, Alieysa Patel, Ryan Crawford, Caitlyn L. Holmes, Yuang Sun, Alexandra Teodorescu, Evan S. Snitkin, Lili Zhao, Patricia J. Simner, Pranita D. Tamma, Krishna Rao, Keith S. Kaye, Michael A. Bachman
Format: Article
Language:English
Published: Nature Portfolio 2022-08-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-31990-1
_version_ 1798037993437528064
author Jay Vornhagen
Emily K. Roberts
Lavinia Unverdorben
Sophia Mason
Alieysa Patel
Ryan Crawford
Caitlyn L. Holmes
Yuang Sun
Alexandra Teodorescu
Evan S. Snitkin
Lili Zhao
Patricia J. Simner
Pranita D. Tamma
Krishna Rao
Keith S. Kaye
Michael A. Bachman
author_facet Jay Vornhagen
Emily K. Roberts
Lavinia Unverdorben
Sophia Mason
Alieysa Patel
Ryan Crawford
Caitlyn L. Holmes
Yuang Sun
Alexandra Teodorescu
Evan S. Snitkin
Lili Zhao
Patricia J. Simner
Pranita D. Tamma
Krishna Rao
Keith S. Kaye
Michael A. Bachman
author_sort Jay Vornhagen
collection DOAJ
description Patient variables, such as comorbidities, partially explain which patients will progress to Klebsiella infection, with colonization of the gut acting as a reservoir. Little is known, however, regarding Klebsiella genes that may increase risk of disease in colonized individuals. Here, authors conduct a comparative genomics study to identify genes associated with progression from colonisation to infection.
first_indexed 2024-04-11T21:34:09Z
format Article
id doaj.art-9fca71bb880145e79855025ffb4001fa
institution Directory Open Access Journal
issn 2041-1723
language English
last_indexed 2024-04-11T21:34:09Z
publishDate 2022-08-01
publisher Nature Portfolio
record_format Article
series Nature Communications
spelling doaj.art-9fca71bb880145e79855025ffb4001fa2022-12-22T04:01:48ZengNature PortfolioNature Communications2041-17232022-08-0113111510.1038/s41467-022-31990-1Combined comparative genomics and clinical modeling reveals plasmid-encoded genes are independently associated with Klebsiella infectionJay Vornhagen0Emily K. Roberts1Lavinia Unverdorben2Sophia Mason3Alieysa Patel4Ryan Crawford5Caitlyn L. Holmes6Yuang Sun7Alexandra Teodorescu8Evan S. Snitkin9Lili Zhao10Patricia J. Simner11Pranita D. Tamma12Krishna Rao13Keith S. Kaye14Michael A. Bachman15Department of Pathology, Michigan Medicine, University of MichiganDepartment of Biostatistics, School of Public Health, University of MichiganDepartment of Microbiology & Immunology, Michigan Medicine, University of MichiganDepartment of Pathology, Michigan Medicine, University of MichiganDepartment of Pathology, Michigan Medicine, University of MichiganDepartment of Computational Medicine and Bioinformatics, Michigan Medicine, University of MichiganDepartment of Pathology, Michigan Medicine, University of MichiganDepartment of Pathology, Michigan Medicine, University of MichiganDepartment of Pathology, Michigan Medicine, University of MichiganDepartment of Microbiology & Immunology, Michigan Medicine, University of MichiganDepartment of Biostatistics, School of Public Health, University of MichiganDivision of Medical Microbiology, Department of Pathology, Johns Hopkins University School of MedicineDepartment of Pediatrics, Johns Hopkins University School of MedicineDepartment of Internal Medicine/Infectious Diseases Division, Michigan Medicine, University of MichiganDepartment of Internal Medicine/Infectious Diseases Division, Michigan Medicine, University of MichiganDepartment of Pathology, Michigan Medicine, University of MichiganPatient variables, such as comorbidities, partially explain which patients will progress to Klebsiella infection, with colonization of the gut acting as a reservoir. Little is known, however, regarding Klebsiella genes that may increase risk of disease in colonized individuals. Here, authors conduct a comparative genomics study to identify genes associated with progression from colonisation to infection.https://doi.org/10.1038/s41467-022-31990-1
spellingShingle Jay Vornhagen
Emily K. Roberts
Lavinia Unverdorben
Sophia Mason
Alieysa Patel
Ryan Crawford
Caitlyn L. Holmes
Yuang Sun
Alexandra Teodorescu
Evan S. Snitkin
Lili Zhao
Patricia J. Simner
Pranita D. Tamma
Krishna Rao
Keith S. Kaye
Michael A. Bachman
Combined comparative genomics and clinical modeling reveals plasmid-encoded genes are independently associated with Klebsiella infection
Nature Communications
title Combined comparative genomics and clinical modeling reveals plasmid-encoded genes are independently associated with Klebsiella infection
title_full Combined comparative genomics and clinical modeling reveals plasmid-encoded genes are independently associated with Klebsiella infection
title_fullStr Combined comparative genomics and clinical modeling reveals plasmid-encoded genes are independently associated with Klebsiella infection
title_full_unstemmed Combined comparative genomics and clinical modeling reveals plasmid-encoded genes are independently associated with Klebsiella infection
title_short Combined comparative genomics and clinical modeling reveals plasmid-encoded genes are independently associated with Klebsiella infection
title_sort combined comparative genomics and clinical modeling reveals plasmid encoded genes are independently associated with klebsiella infection
url https://doi.org/10.1038/s41467-022-31990-1
work_keys_str_mv AT jayvornhagen combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection
AT emilykroberts combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection
AT laviniaunverdorben combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection
AT sophiamason combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection
AT alieysapatel combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection
AT ryancrawford combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection
AT caitlynlholmes combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection
AT yuangsun combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection
AT alexandrateodorescu combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection
AT evanssnitkin combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection
AT lilizhao combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection
AT patriciajsimner combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection
AT pranitadtamma combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection
AT krishnarao combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection
AT keithskaye combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection
AT michaelabachman combinedcomparativegenomicsandclinicalmodelingrevealsplasmidencodedgenesareindependentlyassociatedwithklebsiellainfection