St Andrews Research Repository

St Andrews University Home
View Item 
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.

Predicting the virulence of MRSA from its genome sequence

Thumbnail
View/Open
laabei2014genomeresearch839.pdf (1.684Mb)
Date
09/04/2014
Author
Laabei, Maisem
Recker, Mario
Rudkin, Justine K
Aldeljawi, Mona
Gulay, Zeynep
Sloan, Tim J
Williams, Paul
Endres, Jennifer L
Bayles, Kenneth W
Fey, Paul D
Yajjala, Vijaya Kumar
Widhelm, Todd
Hawkins, Erica
Lewis, Katie
Parfett, Sara
Scowen, Lucy
Peacock, Sharon J
Holden, Matthew
Wilson, Daniel
Read, Timothy D
van den Elsen, Jean
Priest, Nicholas K
Feil, Edward J
Hurst, Laurence D
Josefsson, Elisabet
Massey, Ruth C
Keywords
QR Microbiology
QH426 Genetics
Metadata
Show full item record
Altmetrics Handle Statistics
Altmetrics DOI Statistics
Abstract
Microbial virulence is a complex and often multifactorial phenotype, intricately linked to a pathogen's evolutionary trajectory. Toxicity, the ability to destroy host cell membranes, and adhesion, the ability to adhere to human tissues, are the major virulence factors of many bacterial pathogens, including Staphylococcus aureus. Here, we assayed the toxicity and adhesiveness of 90 MRSA (methicillin resistant S. aureus) isolates and found that while there was remarkably little variation in adhesion, toxicity varied by over an order of magnitude between isolates, suggesting different evolutionary selection pressures acting on these two traits. We performed a genome-wide association study (GWAS) and identified a large number of loci, as well as a putative network of epistatically interacting loci, that significantly associated with toxicity. Despite this apparent complexity in toxicity regulation, a predictive model based on a set of significant single nucleotide polymorphisms (SNPs) and insertion and deletions events (indels) showed a high degree of accuracy in predicting an isolate's toxicity solely from the genetic signature at these sites. Our results thus highlight the potential of using sequence data to determine clinically relevant parameters and have further implications for understanding the microbial virulence of this opportunistic pathogen.
Citation
Laabei , M , Recker , M , Rudkin , J K , Aldeljawi , M , Gulay , Z , Sloan , T J , Williams , P , Endres , J L , Bayles , K W , Fey , P D , Yajjala , V K , Widhelm , T , Hawkins , E , Lewis , K , Parfett , S , Scowen , L , Peacock , S J , Holden , M , Wilson , D , Read , T D , van den Elsen , J , Priest , N K , Feil , E J , Hurst , L D , Josefsson , E & Massey , R C 2014 , ' Predicting the virulence of MRSA from its genome sequence ' , Genome Research , vol. 24 , pp. 839-849 . https://doi.org/10.1101/gr.165415.113
Publication
Genome Research
Status
Peer reviewed
DOI
https://doi.org/10.1101/gr.165415.113
ISSN
1088-9051
Type
Journal article
Rights
2014 Laabei et al. This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0.
Description
This work is supported by the EC-FP7 program no. 245500 and the BBSRC
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/5014

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

Advanced Search

Browse

All of RepositoryCommunities & CollectionsBy Issue DateNamesTitlesSubjectsClassificationTypeFunderThis CollectionBy Issue DateNamesTitlesSubjectsClassificationTypeFunder

My Account

Login

Open Access

To find out how you can benefit from open access to research, see our library web pages and Open Access blog. For open access help contact: openaccess@st-andrews.ac.uk.

Accessibility

Read our Accessibility statement.

How to submit research papers

The full text of research papers can be submitted to the repository via Pure, the University's research information system. For help see our guide: How to deposit in Pure.

Electronic thesis deposit

Help with deposit.

Repository help

For repository help contact: Digital-Repository@st-andrews.ac.uk.

Give Feedback

Cookie policy

This site may use cookies. Please see Terms and Conditions.

Usage statistics

COUNTER-compliant statistics on downloads from the repository are available from the IRUS-UK Service. Contact us for information.

© University of St Andrews Library

University of St Andrews is a charity registered in Scotland, No SC013532.

  • Facebook
  • Twitter