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      Recombination is a key driver of genomic and phenotypic diversity in a Pseudomonas aeruginosa population during cystic fibrosis infection

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          Abstract

          The Cystic Fibrosis (CF) lung harbors a complex, polymicrobial ecosystem, in which Pseudomonas aeruginosa is capable of sustaining chronic infections, which are highly resistant to multiple antibiotics. Here, we investigate the phenotypic and genotypic diversity of 44 morphologically identical P. aeruginosa isolates taken from a single CF patient sputum sample. Comprehensive phenotypic analysis of isolates revealed large variances and trade-offs in growth, virulence factors and quorum sensing (QS) signals. Whole genome analysis of 22 isolates revealed high levels of intra-isolate diversity ranging from 5 to 64 SNPs and that recombination and not spontaneous mutation was the dominant driver of diversity in this population. Furthermore, phenotypic differences between isolates were not linked to mutations in known genes but were statistically associated with distinct recombination events. We also assessed antibiotic susceptibility of all isolates. Resistance to antibiotics significantly increased when multiple isolates were mixed together. Our results highlight the significant role of recombination in generating phenotypic and genetic diversification during in vivo chronic CF infection. We also discuss (i) how these findings could influence how patient-to-patient transmission studies are performed using whole genome sequencing, and (ii) the need to refine antibiotic susceptibility testing in sputum samples taken from patients with CF.

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          Most cited references39

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          Microbial pathogenesis in cystic fibrosis: mucoid Pseudomonas aeruginosa and Burkholderia cepacia.

          Respiratory infections with Pseudomonas aeruginosa and Burkholderia cepacia play a major role in the pathogenesis of cystic fibrosis (CF). This review summarizes the latest advances in understanding host-pathogen interactions in CF with an emphasis on the role and control of conversion to mucoidy in P. aeruginosa, a phenomenon epitomizing the adaptation of this opportunistic pathogen to the chronic chourse of infection in CF, and on the innate resistance to antibiotics of B. cepacia, person-to-person spread, and sometimes rapidly fatal disease caused by this organism. While understanding the mechanism of conversion to mucoidy in P. aeruginosa has progressed to the point where this phenomenon has evolved into a model system for studying bacterial stress response in microbial pathogenesis, the more recent challenge with B. cepacia, which has emerged as a potent bona fide CF pathogen, is discussed in the context of clinical issues, taxonomy, transmission, and potential modes of pathogenicity.
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            Identification and characterization of genes for a second anthranilate synthase in Pseudomonas aeruginosa: interchangeability of the two anthranilate synthases and evolutionary implications.

            Two anthranilate synthase gene pairs have been identified in Pseudomonas aeruginosa. They were cloned, sequenced, inactivated in vitro by insertion of an antibiotic resistance gene, and returned to P. aeruginosa, replacing the wild-type gene. One anthranilate synthase enzyme participates in tryptophan synthesis; its genes are designated trpE and trpG. The other anthranilate synthase enzyme, encoded by phnA and phnB, participates in the synthesis of pyocyanin, the characteristic phenazine pigment of the organism. trpE and trpG are independently transcribed; homologous genes have been cloned from Pseudomonas putida. The phenazine pathway genes phnA and phnB are cotranscribed. The cloned phnA phnB gene pair complements trpE and trpE(G) mutants of Escherichia coli. Homologous genes were not found in P. putida PPG1, a non-phenazine producer. Surprisingly, PhnA and PhnB are more closely related to E. coli TrpE and TrpG than to Pseudomonas TrpE and TrpG, whereas Pseudomonas TrpE and TrpG are more closely related to E. coli PabB and PabA than to E. coli TrpE and TrpG. We replaced the wild-type trpE on the P. aeruginosa chromosome with a mutant form having a considerable portion of its coding sequence deleted and replaced by a tetracycline resistance gene cassette. This resulted in tryptophan auxotrophy; however, spontaneous tryptophan-independent revertants appeared at a frequency of 10(-5) to 10(6). The anthranilate synthase of these revertants is not feedback inhibited by tryptophan, suggesting that it arises from PhnAB. phnA mutants retain a low level of pyocyanin production. Introduction of an inactivated trpE gene into a phnA mutant abolished residual pyocyanin production, suggesting that the trpE trpG gene products are capable of providing some anthranilate for pyocyanin synthesis.
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              Quorum sensing and environmental adaptation in Pseudomonas aeruginosa: a tale of regulatory networks and multifunctional signal molecules.

              Bacteria employ sophisticated cell-to-cell communication or 'quorum sensing' (QS) systems for promoting collective behaviours that depend on the actions of one or more chemically distinct diffusible signal molecules. As determinants of cell population density, multiple QS systems are often integrated with each other and within global regulatory networks and subject to the prevailing environmental conditions as well as the presence and activities of other organisms. QS signal molecules, although largely considered as effectors of QS-dependent gene expression are also emerging as multifunctional molecules that influence life, development and death in single and mixed microbial populations and impact significantly the outcome of host-pathogen interactions.
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                Author and article information

                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group
                2045-2322
                12 January 2015
                2015
                : 5
                : 7649
                Affiliations
                [1 ]School of Life Sciences, University of Nottingham , Nottingham, NG7 2RD, U.K.
                [2 ]Pathogen Research Group, Nottingham Trent University , Nottingham, U.K.
                [3 ]Department of Mathematics and Statistics, University of Helsinki , Finland
                [4 ]Division of Respiratory Medicine, Nottingham City Hospital , Nottingham, NG5 1PB, U.K.
                [5 ]College of Life and Environmental Sciences, University of Exeter , Exeter
                [6 ]Department of Clinical Microbiology, Nottingham University NHS Trust , U.K.
                [7 ]Division of Epidemiology & Public Health, Nottingham City Hospital , Nottingham, NG5 1PB, U.K
                Author notes
                Article
                srep07649
                10.1038/srep07649
                4289893
                25578031
                6e75346a-f665-4753-9837-947bced030f3
                Copyright © 2015, Macmillan Publishers Limited. All rights reserved

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 02 October 2014
                : 27 November 2014
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