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A covariation analysis reveals elements of selectivity in quorum sensing systems

Many bacteria communicate with kin and coordinate group behaviors through a form of cell-cell signaling called acyl-homoserine lactone (AHL) quorum sensing (QS). In these systems, a signal synthase produces an AHL to which its paired receptor selectively responds. Selectivity is fundamental to cell...

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Autores principales: Wellington Miranda, Samantha, Cong, Qian, Schaefer, Amy L, MacLeod, Emily Kenna, Zimenko, Angelina, Baker, David, Greenberg, E Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328516/
https://www.ncbi.nlm.nih.gov/pubmed/34180398
http://dx.doi.org/10.7554/eLife.69169
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author Wellington Miranda, Samantha
Cong, Qian
Schaefer, Amy L
MacLeod, Emily Kenna
Zimenko, Angelina
Baker, David
Greenberg, E Peter
author_facet Wellington Miranda, Samantha
Cong, Qian
Schaefer, Amy L
MacLeod, Emily Kenna
Zimenko, Angelina
Baker, David
Greenberg, E Peter
author_sort Wellington Miranda, Samantha
collection PubMed
description Many bacteria communicate with kin and coordinate group behaviors through a form of cell-cell signaling called acyl-homoserine lactone (AHL) quorum sensing (QS). In these systems, a signal synthase produces an AHL to which its paired receptor selectively responds. Selectivity is fundamental to cell signaling. Despite its importance, it has been challenging to determine how this selectivity is achieved and how AHL QS systems evolve and diversify. We hypothesized that we could use covariation within the protein sequences of AHL synthases and receptors to identify selectivity residues. We began by identifying about 6000 unique synthase-receptor pairs. We then used the protein sequences of these pairs to identify covariation patterns and mapped the patterns onto the LasI/R system from Pseudomonas aeruginosa PAO1. The covarying residues in both proteins cluster around the ligand-binding sites. We demonstrate that these residues are involved in system selectivity toward the cognate signal and go on to engineer the Las system to both produce and respond to an alternate AHL signal. We have thus demonstrated that covariation methods provide a powerful approach for investigating selectivity in protein-small molecule interactions and have deepened our understanding of how communication systems evolve and diversify.
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spelling pubmed-83285162021-08-04 A covariation analysis reveals elements of selectivity in quorum sensing systems Wellington Miranda, Samantha Cong, Qian Schaefer, Amy L MacLeod, Emily Kenna Zimenko, Angelina Baker, David Greenberg, E Peter eLife Computational and Systems Biology Many bacteria communicate with kin and coordinate group behaviors through a form of cell-cell signaling called acyl-homoserine lactone (AHL) quorum sensing (QS). In these systems, a signal synthase produces an AHL to which its paired receptor selectively responds. Selectivity is fundamental to cell signaling. Despite its importance, it has been challenging to determine how this selectivity is achieved and how AHL QS systems evolve and diversify. We hypothesized that we could use covariation within the protein sequences of AHL synthases and receptors to identify selectivity residues. We began by identifying about 6000 unique synthase-receptor pairs. We then used the protein sequences of these pairs to identify covariation patterns and mapped the patterns onto the LasI/R system from Pseudomonas aeruginosa PAO1. The covarying residues in both proteins cluster around the ligand-binding sites. We demonstrate that these residues are involved in system selectivity toward the cognate signal and go on to engineer the Las system to both produce and respond to an alternate AHL signal. We have thus demonstrated that covariation methods provide a powerful approach for investigating selectivity in protein-small molecule interactions and have deepened our understanding of how communication systems evolve and diversify. eLife Sciences Publications, Ltd 2021-06-28 /pmc/articles/PMC8328516/ /pubmed/34180398 http://dx.doi.org/10.7554/eLife.69169 Text en © 2021, Wellington Miranda et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Wellington Miranda, Samantha
Cong, Qian
Schaefer, Amy L
MacLeod, Emily Kenna
Zimenko, Angelina
Baker, David
Greenberg, E Peter
A covariation analysis reveals elements of selectivity in quorum sensing systems
title A covariation analysis reveals elements of selectivity in quorum sensing systems
title_full A covariation analysis reveals elements of selectivity in quorum sensing systems
title_fullStr A covariation analysis reveals elements of selectivity in quorum sensing systems
title_full_unstemmed A covariation analysis reveals elements of selectivity in quorum sensing systems
title_short A covariation analysis reveals elements of selectivity in quorum sensing systems
title_sort covariation analysis reveals elements of selectivity in quorum sensing systems
topic Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328516/
https://www.ncbi.nlm.nih.gov/pubmed/34180398
http://dx.doi.org/10.7554/eLife.69169
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