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Dimension-reduction simplifies the analysis of signal crosstalk in a bacterial quorum sensing pathway
Many pheromone sensing bacteria produce and detect more than one chemically distinct signal, or autoinducer. The pathways that detect these signals are typically noisy and interlocked through crosstalk and feedback. As a result, the sensing response of individual cells is described by statistical di...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8492804/ https://www.ncbi.nlm.nih.gov/pubmed/34611201 http://dx.doi.org/10.1038/s41598-021-99169-0 |
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author | Miller, Taylor Patel, Keval Rodriguez, Coralis Stabb, Eric V. Hagen, Stephen J. |
author_facet | Miller, Taylor Patel, Keval Rodriguez, Coralis Stabb, Eric V. Hagen, Stephen J. |
author_sort | Miller, Taylor |
collection | PubMed |
description | Many pheromone sensing bacteria produce and detect more than one chemically distinct signal, or autoinducer. The pathways that detect these signals are typically noisy and interlocked through crosstalk and feedback. As a result, the sensing response of individual cells is described by statistical distributions that change under different combinations of signal inputs. Here we examine how signal crosstalk reshapes this response. We measure how combinations of two homoserine lactone (HSL) input signals alter the statistical distributions of individual cell responses in the AinS/R- and LuxI/R-controlled branches of the Vibrio fischeri bioluminescence pathway. We find that, while the distributions of pathway activation in individual cells vary in complex fashion with environmental conditions, these changes have a low-dimensional representation. For both the AinS/R and LuxI/R branches, the distribution of individual cell responses to mixtures of the two HSLs is effectively one-dimensional, so that a single tuning parameter can capture the full range of variability in the distributions. Combinations of crosstalking HSL signals extend the range of responses for each branch of the circuit, so that signals in combination allow population-wide distributions that are not available under a single HSL input. Dimension reduction also simplifies the problem of identifying the HSL conditions to which the pathways and their outputs are most sensitive. A comparison of the maximum sensitivity HSL conditions to actual HSL levels measured during culture growth indicates that the AinS/R and LuxI/R branches lack sensitivity to population density except during the very earliest and latest stages of growth respectively. |
format | Online Article Text |
id | pubmed-8492804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84928042021-10-07 Dimension-reduction simplifies the analysis of signal crosstalk in a bacterial quorum sensing pathway Miller, Taylor Patel, Keval Rodriguez, Coralis Stabb, Eric V. Hagen, Stephen J. Sci Rep Article Many pheromone sensing bacteria produce and detect more than one chemically distinct signal, or autoinducer. The pathways that detect these signals are typically noisy and interlocked through crosstalk and feedback. As a result, the sensing response of individual cells is described by statistical distributions that change under different combinations of signal inputs. Here we examine how signal crosstalk reshapes this response. We measure how combinations of two homoserine lactone (HSL) input signals alter the statistical distributions of individual cell responses in the AinS/R- and LuxI/R-controlled branches of the Vibrio fischeri bioluminescence pathway. We find that, while the distributions of pathway activation in individual cells vary in complex fashion with environmental conditions, these changes have a low-dimensional representation. For both the AinS/R and LuxI/R branches, the distribution of individual cell responses to mixtures of the two HSLs is effectively one-dimensional, so that a single tuning parameter can capture the full range of variability in the distributions. Combinations of crosstalking HSL signals extend the range of responses for each branch of the circuit, so that signals in combination allow population-wide distributions that are not available under a single HSL input. Dimension reduction also simplifies the problem of identifying the HSL conditions to which the pathways and their outputs are most sensitive. A comparison of the maximum sensitivity HSL conditions to actual HSL levels measured during culture growth indicates that the AinS/R and LuxI/R branches lack sensitivity to population density except during the very earliest and latest stages of growth respectively. Nature Publishing Group UK 2021-10-05 /pmc/articles/PMC8492804/ /pubmed/34611201 http://dx.doi.org/10.1038/s41598-021-99169-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Miller, Taylor Patel, Keval Rodriguez, Coralis Stabb, Eric V. Hagen, Stephen J. Dimension-reduction simplifies the analysis of signal crosstalk in a bacterial quorum sensing pathway |
title | Dimension-reduction simplifies the analysis of signal crosstalk in a bacterial quorum sensing pathway |
title_full | Dimension-reduction simplifies the analysis of signal crosstalk in a bacterial quorum sensing pathway |
title_fullStr | Dimension-reduction simplifies the analysis of signal crosstalk in a bacterial quorum sensing pathway |
title_full_unstemmed | Dimension-reduction simplifies the analysis of signal crosstalk in a bacterial quorum sensing pathway |
title_short | Dimension-reduction simplifies the analysis of signal crosstalk in a bacterial quorum sensing pathway |
title_sort | dimension-reduction simplifies the analysis of signal crosstalk in a bacterial quorum sensing pathway |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8492804/ https://www.ncbi.nlm.nih.gov/pubmed/34611201 http://dx.doi.org/10.1038/s41598-021-99169-0 |
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