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

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 prokaryoti...

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Main Authors: Colin W. Brown, Viswanadham Sridhara, Daniel R. Boutz, Maria D. Person, Edward M. Marcotte, Jeffrey E. Barrick, Claus O. Wilke
Format: Article
Language:English
Published: BMC 2017-04-01
Series:BMC Genomics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12864-017-3676-8
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author Colin W. Brown
Viswanadham Sridhara
Daniel R. Boutz
Maria D. Person
Edward M. Marcotte
Jeffrey E. Barrick
Claus O. Wilke
author_facet Colin W. Brown
Viswanadham Sridhara
Daniel R. Boutz
Maria D. Person
Edward M. Marcotte
Jeffrey E. Barrick
Claus O. Wilke
author_sort Colin W. Brown
collection DOAJ
description 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 N α acetylation, C-terminal glutamylation, and asparagine deamidation. Furthermore, we identify a possible relationship between N-terminal N α 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.
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spelling doaj.art-a47212c442df447d875b7d47b760d0a72022-12-22T00:22:47ZengBMCBMC Genomics1471-21642017-04-0118112110.1186/s12864-017-3676-8Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditionsColin W. Brown0Viswanadham Sridhara1Daniel R. Boutz2Maria D. Person3Edward M. Marcotte4Jeffrey E. Barrick5Claus O. Wilke6Institute for Cellular and Molecular Biology, The University of Texas at AustinCenter for Computational Biology and Bioinformatics, The University of Texas at AustinInstitute for Cellular and Molecular Biology, The University of Texas at AustinInstitute for Cellular and Molecular Biology, The University of Texas at AustinInstitute for Cellular and Molecular Biology, The University of Texas at AustinInstitute for Cellular and Molecular Biology, The University of Texas at AustinInstitute for Cellular and Molecular Biology, The University of Texas at AustinAbstract 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 N α acetylation, C-terminal glutamylation, and asparagine deamidation. Furthermore, we identify a possible relationship between N-terminal N α 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.http://link.springer.com/article/10.1186/s12864-017-3676-8Post-translational modificationProteomicsProkaryote
spellingShingle Colin W. Brown
Viswanadham Sridhara
Daniel R. Boutz
Maria D. Person
Edward M. Marcotte
Jeffrey E. Barrick
Claus O. Wilke
Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions
BMC Genomics
Post-translational modification
Proteomics
Prokaryote
title Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions
title_full Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions
title_fullStr Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions
title_full_unstemmed Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions
title_short Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions
title_sort large scale analysis of post translational modifications in e coli under glucose limiting conditions
topic Post-translational modification
Proteomics
Prokaryote
url http://link.springer.com/article/10.1186/s12864-017-3676-8
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