Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Compendium-wide analysis of P. aeruginosa core and accessory genes reveal more nuanced transcriptional patterns

View ORCID ProfileAlexandra J. Lee, Georgia Doing, Samuel L. Neff, View ORCID ProfileTaylor Reiter, View ORCID ProfileDeborah A. Hogan, View ORCID ProfileCasey S. Greene
doi: https://doi.org/10.1101/2022.04.14.488429
Alexandra J. Lee
1Genomics and Computational Biology Graduate Program, University of Pennsylvania, Philadelphia, PA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Alexandra J. Lee
Georgia Doing
2Department of Microbiology and Immunology, Geisel School of Medicine, Dartmouth, Hanover, NH, USA
3The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Samuel L. Neff
2Department of Microbiology and Immunology, Geisel School of Medicine, Dartmouth, Hanover, NH, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Taylor Reiter
5Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Denver, CO, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Taylor Reiter
Deborah A. Hogan
2Department of Microbiology and Immunology, Geisel School of Medicine, Dartmouth, Hanover, NH, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Deborah A. Hogan
Casey S. Greene
4Department of Pharmacology, University of Colorado School of Medicine, Denver, CO, USA
5Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Denver, CO, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Casey S. Greene
  • For correspondence: casey.s.greene@cuanschutz.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Strains of Pseudomonas aeruginosa, an opportunistic pathogen that causes difficult to treat infections, have significant genomic heterogeneity including the presence of diverse accessory genes that are only present in some strains or clades. Both core genes, which are conserved across strains, and accessory genes have been associated with traits such as biofilm formation and virulence. Much of what we know about core and accessory gene content comes from genome analyses. Here, we use a newly assembled transcriptome compendium to analyze the transcriptional patterns of core and accessory gene expression in PAO1 and PA14 strains across thousands of samples from hundreds of distinct experiments. We found that a subset of core genes were stable, having consistent correlated expression patterns across samples regardless of strain background, with a focus on strains PAO1 and PA14. These stable core genes had fewer co-expressed neighbors that were accessory genes.

Significance Pseudomonas aeruginosa is a ubiquitous pathogen. There is a lot of diversity amongst P. aeruginosa strains, some which are clinically relevant. Understanding how these different strain-level traits manifest is important for identifying targets that regulate different traits of interest. With the availability of a PAO1-mapped and PA14-mapped RNA-seq compendium, which contain hundreds of strains, it is now possible to examine the effect of different strains on expression, which can mediate different traits. In this study we developed an approach to compare expression profiles across different P. aeruginosa gene groups – core and accessory genes. This approach revealed a subset of core genes with different transcriptional patterns across strains, which could contribute to trait differences.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted April 15, 2022.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Compendium-wide analysis of P. aeruginosa core and accessory genes reveal more nuanced transcriptional patterns
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Compendium-wide analysis of P. aeruginosa core and accessory genes reveal more nuanced transcriptional patterns
Alexandra J. Lee, Georgia Doing, Samuel L. Neff, Taylor Reiter, Deborah A. Hogan, Casey S. Greene
bioRxiv 2022.04.14.488429; doi: https://doi.org/10.1101/2022.04.14.488429
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Compendium-wide analysis of P. aeruginosa core and accessory genes reveal more nuanced transcriptional patterns
Alexandra J. Lee, Georgia Doing, Samuel L. Neff, Taylor Reiter, Deborah A. Hogan, Casey S. Greene
bioRxiv 2022.04.14.488429; doi: https://doi.org/10.1101/2022.04.14.488429

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioinformatics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4229)
  • Biochemistry (9108)
  • Bioengineering (6752)
  • Bioinformatics (23944)
  • Biophysics (12101)
  • Cancer Biology (9497)
  • Cell Biology (13742)
  • Clinical Trials (138)
  • Developmental Biology (7616)
  • Ecology (11662)
  • Epidemiology (2066)
  • Evolutionary Biology (15479)
  • Genetics (10620)
  • Genomics (14297)
  • Immunology (9465)
  • Microbiology (22793)
  • Molecular Biology (9078)
  • Neuroscience (48890)
  • Paleontology (355)
  • Pathology (1479)
  • Pharmacology and Toxicology (2565)
  • Physiology (3823)
  • Plant Biology (8309)
  • Scientific Communication and Education (1467)
  • Synthetic Biology (2290)
  • Systems Biology (6172)
  • Zoology (1297)