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

Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions

Colin W Brown, Viswanadham Sridhara, Daniel R Boutz, Maria D Person, Edward M Marcotte, View ORCID ProfileJeffrey E Barrick, View ORCID ProfileClaus O Wilke
doi: https://doi.org/10.1101/051185
Colin W Brown
1Institute for Cellular and Molecular Biology, The University of Texas at Austin, Speedway, Austin, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Viswanadham Sridhara
2Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Speedway, Austin, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daniel R Boutz
1Institute for Cellular and Molecular Biology, The University of Texas at Austin, Speedway, Austin, USA.
3Center for Systems and Synthetic Biology, The University of Texas at Austin, Speedway, Austin, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maria D Person
1Institute for Cellular and Molecular Biology, The University of Texas at Austin, Speedway, Austin, USA.
4College of Pharmacy, The University of Texas at Austin, Speedway, Austin, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Edward M Marcotte
1Institute for Cellular and Molecular Biology, The University of Texas at Austin, Speedway, Austin, USA.
3Center for Systems and Synthetic Biology, The University of Texas at Austin, Speedway, Austin, USA.
5Department of Molecular Biosciences, The University of Texas at Austin, Speedway, Austin, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jeffrey E Barrick
1Institute for Cellular and Molecular Biology, The University of Texas at Austin, Speedway, Austin, USA.
3Center for Systems and Synthetic Biology, The University of Texas at Austin, Speedway, Austin, USA.
5Department of Molecular Biosciences, The University of Texas at Austin, Speedway, Austin, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Jeffrey E Barrick
Claus O Wilke
1Institute for Cellular and Molecular Biology, The University of Texas at Austin, Speedway, Austin, USA.
2Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Speedway, Austin, USA.
6Department of Integrative Biology, The University of Texas at Austin, Speedway, Austin, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Claus O Wilke
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Background Post-translational modification (PTM) of proteins is central to many cellular processes across all domains of life, but despite decades of study and a wealth of genomic and proteomic data the biological function of many PTMs remains unknown. This is especially true for prokaryotic PTM systems, many of which have only recently been recognized and studied in depth. It is increasingly apparent that a deep sampling of abundance across a wide range of environmental stresses, growth conditions, and PTM types, rather than simply cataloging targets for a handful of modifications, is critical to understanding the complex pathways that govern PTM deposition and downstream effects.

Results We utilized a deeply-sampled dataset of MS/MS proteomic analysis covering 9 timepoints spanning the Escherichia coli growth cycle and an unbiased PTM search strategy to construct a temporal map of abundance for all PTMs within a 400 Da window of mass shifts. Using this map, we are able to identify novel targets and temporal patterns for N-terminal Nα acetylation, C-terminal glutamylation, and asparagine deamidation. Furthermore, we identify a possible relationship between N-terminal Na acetylation and regulation of protein degradation in stationary phase, pointing to a previously unrecognized biological function for this poorly-understood PTM.

Conclusions Unbiased detection of PTM in MS/MS proteomics data facilitates the discovery of novel modification types and previously unobserved dynamic changes in modification across growth timepoints.

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-ND 4.0 International license.
Back to top
PreviousNext
Posted August 31, 2016.
Download PDF

Supplementary Material

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.
Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions
(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
Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions
Colin W Brown, Viswanadham Sridhara, Daniel R Boutz, Maria D Person, Edward M Marcotte, Jeffrey E Barrick, Claus O Wilke
bioRxiv 051185; doi: https://doi.org/10.1101/051185
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions
Colin W Brown, Viswanadham Sridhara, Daniel R Boutz, Maria D Person, Edward M Marcotte, Jeffrey E Barrick, Claus O Wilke
bioRxiv 051185; doi: https://doi.org/10.1101/051185

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

  • Microbiology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4229)
  • Biochemistry (9118)
  • Bioengineering (6753)
  • Bioinformatics (23949)
  • Biophysics (12103)
  • Cancer Biology (9498)
  • Cell Biology (13746)
  • Clinical Trials (138)
  • Developmental Biology (7618)
  • Ecology (11666)
  • Epidemiology (2066)
  • Evolutionary Biology (15479)
  • Genetics (10621)
  • Genomics (14298)
  • Immunology (9468)
  • Microbiology (22808)
  • Molecular Biology (9083)
  • Neuroscience (48900)
  • Paleontology (355)
  • Pathology (1479)
  • Pharmacology and Toxicology (2566)
  • Physiology (3828)
  • Plant Biology (8320)
  • Scientific Communication and Education (1467)
  • Synthetic Biology (2294)
  • Systems Biology (6172)
  • Zoology (1297)