A sequence-based approach for prediction of CsrA/RsmA targets in bacteria with experimental validation in Pseudomonas aeruginosa

CsrA/RsmA homologs are an extensive family of ribonucleic acid (RNA)-binding proteins that function as global post-transcriptional regulators controlling important cellular processes such as secondary metabolism, motility, biofilm formation and the production and secretion of virulence factors in di...

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Main Authors: Kulkarni, Prajna R., Jia, Tao, Kuehne, Sarah H., Kerkering, Thomas M., Morris, Elizabeth R., Searle, Mark S., Heeb, Stephan, Rao, Jayasimha, Kulkarni, Rahul V.
Format: Article
Published: Oxford University Press 2014
Online Access:https://eprints.nottingham.ac.uk/34767/
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author Kulkarni, Prajna R.
Jia, Tao
Kuehne, Sarah H.
Kerkering, Thomas M.
Morris, Elizabeth R.
Searle, Mark S.
Heeb, Stephan
Rao, Jayasimha
Kulkarni, Rahul V.
author_facet Kulkarni, Prajna R.
Jia, Tao
Kuehne, Sarah H.
Kerkering, Thomas M.
Morris, Elizabeth R.
Searle, Mark S.
Heeb, Stephan
Rao, Jayasimha
Kulkarni, Rahul V.
author_sort Kulkarni, Prajna R.
building Nottingham Research Data Repository
collection Online Access
description CsrA/RsmA homologs are an extensive family of ribonucleic acid (RNA)-binding proteins that function as global post-transcriptional regulators controlling important cellular processes such as secondary metabolism, motility, biofilm formation and the production and secretion of virulence factors in diverse bacterial species. While direct messenger RNA binding by CsrA/RsmA has been studied in detail for some genes, it is anticipated that there are numerous additional, as yet undiscovered, direct targets that mediate its global regulation. To assist in the discovery of these targets, we propose a sequence-based approach to predict genes directly regulated by these regulators. In this work, we develop a computer code (CSRA TARGET) implementing this approach, which leads to predictions for several novel targets in Escherichia coli and Pseudomonas aeruginosa. The predicted targets in other bacteria, specifically Salmonella enterica serovar Typhimurium, Pectobacterium carotovorum and Legionella pneumophila, also include global regulators that control virulence in these pathogens, unraveling intricate indirect regulatory roles for CsrA/RsmA.We have experimentally validated four predicted RsmA targets in P. aeruginosa. The sequence-based approach developed in this work can thus lead to several testable predictions for direct targets of CsrA homologs, thereby complementing and accelerating efforts to unravel global regulation by this important family of proteins.
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spelling nottingham-347672020-05-04T16:46:11Z https://eprints.nottingham.ac.uk/34767/ A sequence-based approach for prediction of CsrA/RsmA targets in bacteria with experimental validation in Pseudomonas aeruginosa Kulkarni, Prajna R. Jia, Tao Kuehne, Sarah H. Kerkering, Thomas M. Morris, Elizabeth R. Searle, Mark S. Heeb, Stephan Rao, Jayasimha Kulkarni, Rahul V. CsrA/RsmA homologs are an extensive family of ribonucleic acid (RNA)-binding proteins that function as global post-transcriptional regulators controlling important cellular processes such as secondary metabolism, motility, biofilm formation and the production and secretion of virulence factors in diverse bacterial species. While direct messenger RNA binding by CsrA/RsmA has been studied in detail for some genes, it is anticipated that there are numerous additional, as yet undiscovered, direct targets that mediate its global regulation. To assist in the discovery of these targets, we propose a sequence-based approach to predict genes directly regulated by these regulators. In this work, we develop a computer code (CSRA TARGET) implementing this approach, which leads to predictions for several novel targets in Escherichia coli and Pseudomonas aeruginosa. The predicted targets in other bacteria, specifically Salmonella enterica serovar Typhimurium, Pectobacterium carotovorum and Legionella pneumophila, also include global regulators that control virulence in these pathogens, unraveling intricate indirect regulatory roles for CsrA/RsmA.We have experimentally validated four predicted RsmA targets in P. aeruginosa. The sequence-based approach developed in this work can thus lead to several testable predictions for direct targets of CsrA homologs, thereby complementing and accelerating efforts to unravel global regulation by this important family of proteins. Oxford University Press 2014-04-29 Article PeerReviewed Kulkarni, Prajna R., Jia, Tao, Kuehne, Sarah H., Kerkering, Thomas M., Morris, Elizabeth R., Searle, Mark S., Heeb, Stephan, Rao, Jayasimha and Kulkarni, Rahul V. (2014) A sequence-based approach for prediction of CsrA/RsmA targets in bacteria with experimental validation in Pseudomonas aeruginosa. Nucleic Acids Research, 42 (11). pp. 6811-6825. ISSN 1362-4962 http://nar.oxfordjournals.org/content/42/11/6811 doi:10.1093/nar/gku309 doi:10.1093/nar/gku309
spellingShingle Kulkarni, Prajna R.
Jia, Tao
Kuehne, Sarah H.
Kerkering, Thomas M.
Morris, Elizabeth R.
Searle, Mark S.
Heeb, Stephan
Rao, Jayasimha
Kulkarni, Rahul V.
A sequence-based approach for prediction of CsrA/RsmA targets in bacteria with experimental validation in Pseudomonas aeruginosa
title A sequence-based approach for prediction of CsrA/RsmA targets in bacteria with experimental validation in Pseudomonas aeruginosa
title_full A sequence-based approach for prediction of CsrA/RsmA targets in bacteria with experimental validation in Pseudomonas aeruginosa
title_fullStr A sequence-based approach for prediction of CsrA/RsmA targets in bacteria with experimental validation in Pseudomonas aeruginosa
title_full_unstemmed A sequence-based approach for prediction of CsrA/RsmA targets in bacteria with experimental validation in Pseudomonas aeruginosa
title_short A sequence-based approach for prediction of CsrA/RsmA targets in bacteria with experimental validation in Pseudomonas aeruginosa
title_sort sequence-based approach for prediction of csra/rsma targets in bacteria with experimental validation in pseudomonas aeruginosa
url https://eprints.nottingham.ac.uk/34767/
https://eprints.nottingham.ac.uk/34767/
https://eprints.nottingham.ac.uk/34767/