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      Evolution of the Quorum Sensing Regulon in Cooperating Populations of Pseudomonas aeruginosa

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          ABSTRACT

          In the opportunistic pathogenic bacterium Pseudomonas aeruginosa acyl-homoserine lactone quorum sensing (QS) can activate expression of dozens to hundreds of genes depending on the strain under investigation. Many QS-activated genes code for extracellular products. P. aeruginosa has become a model for studies of cell-cell communication and coordination of cooperative activities, which result from production of extracellular products. We hypothesized that strain variation in the size of the QS regulon might reflect the environmental history of an isolate. We tested the hypothesis by performing long-term growth experiments with the well-studied strain PAO1, which has a relatively large QS regulon, under conditions where only limited QS-controlled functions are required. We grew P. aeruginosa for about 1000 generations in a condition where expression of QS-activated genes was required, and emergence of QS mutants was constrained and compared the QS regulons of populations after 35 generations to those after about 1000 generations in two independent lineages by using quorum quenching and RNA-seq technology. In one lineage the number of QS-activated genes identified was reduced by over 60% and in the other by about 30% in 1000-generation populations compared to 35-generation populations. Our results provide insight about the variations in the number of QS-activated genes reported for different P. aeruginosa environmental and clinical isolates and, about how environmental conditions might influence social evolution.

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          Most cited references47

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            Enhanced annotations and features for comparing thousands of Pseudomonas genomes in the Pseudomonas genome database

            The Pseudomonas Genome Database (http://www.pseudomonas.com) is well known for the application of community-based annotation approaches for producing a high-quality Pseudomonas aeruginosa PAO1 genome annotation, and facilitating whole-genome comparative analyses with other Pseudomonas strains. To aid analysis of potentially thousands of complete and draft genome assemblies, this database and analysis platform was upgraded to integrate curated genome annotations and isolate metadata with enhanced tools for larger scale comparative analysis and visualization. Manually curated gene annotations are supplemented with improved computational analyses that help identify putative drug targets and vaccine candidates or assist with evolutionary studies by identifying orthologs, pathogen-associated genes and genomic islands. The database schema has been updated to integrate isolate metadata that will facilitate more powerful analysis of genomes across datasets in the future. We continue to place an emphasis on providing high-quality updates to gene annotations through regular review of the scientific literature and using community-based approaches including a major new Pseudomonas community initiative for the assignment of high-quality gene ontology terms to genes. As we further expand from thousands of genomes, we plan to provide enhancements that will aid data visualization and analysis arising from whole-genome comparative studies including more pan-genome and population-based approaches.
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              Progress in and promise of bacterial quorum sensing research

              This Review highlights how we can build upon the relatively new and rapidly developing field of research into bacterial quorum sensing (QS). We now have a depth of knowledge about how bacteria use QS signals to communicate with each other and to coordinate their activities.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                mBio
                mBio
                mbio
                mBio
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2150-7511
                22 February 2022
                Jan-Feb 2022
                22 February 2022
                : 13
                : 1
                : e00161-22
                Affiliations
                [a ] Department of Medicine, University of Washingtongrid.34477.33, , Seattle, Washington, USA
                [b ] Department of Microbiology, University of Washingtongrid.34477.33, , Seattle, Washington, USA
                Georgia Institute of Technology School of Biological Sciences
                Author notes

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-0581-054X
                https://orcid.org/0000-0001-5626-3529
                https://orcid.org/0000-0001-9474-8041
                https://orcid.org/0000-0002-2992-6523
                Article
                00161-22 mbio.00161-22
                10.1128/mbio.00161-22
                8863103
                35294222
                f0439461-3d0f-4311-a11b-decb9bbfe7db
                Copyright © 2022 Smalley et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 18 January 2022
                : 24 January 2022
                Page count
                supplementary-material: 6, Figures: 4, Tables: 2, Equations: 0, References: 49, Pages: 19, Words: 9915
                Funding
                Funded by: Burroughs Wellcome Fund (BWF), FundRef https://doi.org/10.13039/100000861;
                Award ID: 1012253
                Award Recipient :
                Funded by: Cystic Fibrosis Foundation (CFF), FundRef https://doi.org/10.13039/100000897;
                Award ID: ASFAHL19F0
                Award Recipient :
                Funded by: Doris Duke Charitable Foundation (DDCF), FundRef https://doi.org/10.13039/100000862;
                Award ID: 2019161
                Award Recipient :
                Funded by: HHS | NIH | National Institute of General Medical Sciences (NIGMS), FundRef https://doi.org/10.13039/100000057;
                Award ID: R01GM125714
                Award Recipient :
                Funded by: HHS | NIH | National Institute of General Medical Sciences (NIGMS), FundRef https://doi.org/10.13039/100000057;
                Award ID: R01GM059026
                Award Recipient :
                Funded by: HHS | NIH | National Institute of General Medical Sciences (NIGMS), FundRef https://doi.org/10.13039/100000057;
                Award ID: R35GM136218
                Award Recipient :
                Categories
                Research Article
                bacteriology, Bacteriology
                Custom metadata
                January/February 2022

                Life sciences
                acyl-homoserine lactone,adaptive evolution,metatranscriptomics,quorum quenching
                Life sciences
                acyl-homoserine lactone, adaptive evolution, metatranscriptomics, quorum quenching

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