Global genotype-phenotype correlations in Pseudomonas aeruginosa.

Once the genome sequence of an organism is obtained, attention turns from identifying genes to understanding their function, their organization and control of metabolic pathways and networks that determine its physiology. Recent technical advances in acquiring genome-wide data have led to substantia...

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Autores principales: Claudia Pommerenke, Mathias Müsken, Tanja Becker, Andreas Dötsch, Frank Klawonn, Susanne Häussler
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Publicado: Public Library of Science (PLoS) 2010
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spelling oai:doaj.org-article:36610b350f4840dc805f079061e1db262021-11-18T06:01:41ZGlobal genotype-phenotype correlations in Pseudomonas aeruginosa.1553-73661553-737410.1371/journal.ppat.1001074https://doaj.org/article/36610b350f4840dc805f079061e1db262010-08-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20865161/pdf/?tool=EBIhttps://doaj.org/toc/1553-7366https://doaj.org/toc/1553-7374Once the genome sequence of an organism is obtained, attention turns from identifying genes to understanding their function, their organization and control of metabolic pathways and networks that determine its physiology. Recent technical advances in acquiring genome-wide data have led to substantial progress in identifying gene functions. However, we still do not know the function of a large number of genes and, even when a gene product has been assigned to a functional class, we cannot normally predict its contribution to the phenotypic behaviour of the cell or organism--the phenome. In this study, we assessed bacterial growth parameters of 4030 non-redundant PA14 transposon mutants in the pathogenic bacterium Pseudomonas aeruginosa. The genome-wide simultaneous analysis of 119 distinct growth-related phenotypes uncovered a comprehensive phenome and provided evidence that most genotypes are not phenotypically isolated but rather define specific complex phenotypic clusters of genotypes. Since phenotypic overlap was demonstrated to reflect the relatedness of genotypes on a global scale, knowledge of an organism's phenome might significantly contribute to the advancement of functional genomics.Claudia PommerenkeMathias MüskenTanja BeckerAndreas DötschFrank KlawonnSusanne HäusslerPublic Library of Science (PLoS)articleImmunologic diseases. AllergyRC581-607Biology (General)QH301-705.5ENPLoS Pathogens, Vol 6, Iss 8, p e1001074 (2010)
institution DOAJ
collection DOAJ
language EN
topic Immunologic diseases. Allergy
RC581-607
Biology (General)
QH301-705.5
spellingShingle Immunologic diseases. Allergy
RC581-607
Biology (General)
QH301-705.5
Claudia Pommerenke
Mathias Müsken
Tanja Becker
Andreas Dötsch
Frank Klawonn
Susanne Häussler
Global genotype-phenotype correlations in Pseudomonas aeruginosa.
description Once the genome sequence of an organism is obtained, attention turns from identifying genes to understanding their function, their organization and control of metabolic pathways and networks that determine its physiology. Recent technical advances in acquiring genome-wide data have led to substantial progress in identifying gene functions. However, we still do not know the function of a large number of genes and, even when a gene product has been assigned to a functional class, we cannot normally predict its contribution to the phenotypic behaviour of the cell or organism--the phenome. In this study, we assessed bacterial growth parameters of 4030 non-redundant PA14 transposon mutants in the pathogenic bacterium Pseudomonas aeruginosa. The genome-wide simultaneous analysis of 119 distinct growth-related phenotypes uncovered a comprehensive phenome and provided evidence that most genotypes are not phenotypically isolated but rather define specific complex phenotypic clusters of genotypes. Since phenotypic overlap was demonstrated to reflect the relatedness of genotypes on a global scale, knowledge of an organism's phenome might significantly contribute to the advancement of functional genomics.
format article
author Claudia Pommerenke
Mathias Müsken
Tanja Becker
Andreas Dötsch
Frank Klawonn
Susanne Häussler
author_facet Claudia Pommerenke
Mathias Müsken
Tanja Becker
Andreas Dötsch
Frank Klawonn
Susanne Häussler
author_sort Claudia Pommerenke
title Global genotype-phenotype correlations in Pseudomonas aeruginosa.
title_short Global genotype-phenotype correlations in Pseudomonas aeruginosa.
title_full Global genotype-phenotype correlations in Pseudomonas aeruginosa.
title_fullStr Global genotype-phenotype correlations in Pseudomonas aeruginosa.
title_full_unstemmed Global genotype-phenotype correlations in Pseudomonas aeruginosa.
title_sort global genotype-phenotype correlations in pseudomonas aeruginosa.
publisher Public Library of Science (PLoS)
publishDate 2010
url https://doaj.org/article/36610b350f4840dc805f079061e1db26
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AT tanjabecker globalgenotypephenotypecorrelationsinpseudomonasaeruginosa
AT andreasdotsch globalgenotypephenotypecorrelationsinpseudomonasaeruginosa
AT frankklawonn globalgenotypephenotypecorrelationsinpseudomonasaeruginosa
AT susannehaussler globalgenotypephenotypecorrelationsinpseudomonasaeruginosa
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