Cargando…
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...
Autores principales: | , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2928780/ https://www.ncbi.nlm.nih.gov/pubmed/20865161 http://dx.doi.org/10.1371/journal.ppat.1001074 |
_version_ | 1782185885186392064 |
---|---|
author | Pommerenke, Claudia Müsken, Mathias Becker, Tanja Dötsch, Andreas Klawonn, Frank Häussler, Susanne |
author_facet | Pommerenke, Claudia Müsken, Mathias Becker, Tanja Dötsch, Andreas Klawonn, Frank Häussler, Susanne |
author_sort | Pommerenke, Claudia |
collection | PubMed |
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 | Text |
id | pubmed-2928780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-29287802010-09-23 Global Genotype-Phenotype Correlations in Pseudomonas aeruginosa Pommerenke, Claudia Müsken, Mathias Becker, Tanja Dötsch, Andreas Klawonn, Frank Häussler, Susanne PLoS Pathog Research Article 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. Public Library of Science 2010-08-26 /pmc/articles/PMC2928780/ /pubmed/20865161 http://dx.doi.org/10.1371/journal.ppat.1001074 Text en Pommerenke et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Pommerenke, Claudia Müsken, Mathias Becker, Tanja Dötsch, Andreas Klawonn, Frank Häussler, Susanne Global Genotype-Phenotype Correlations in Pseudomonas aeruginosa |
title | 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_short | Global Genotype-Phenotype Correlations in Pseudomonas aeruginosa
|
title_sort | global genotype-phenotype correlations in pseudomonas aeruginosa |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2928780/ https://www.ncbi.nlm.nih.gov/pubmed/20865161 http://dx.doi.org/10.1371/journal.ppat.1001074 |
work_keys_str_mv | AT pommerenkeclaudia globalgenotypephenotypecorrelationsinpseudomonasaeruginosa AT muskenmathias globalgenotypephenotypecorrelationsinpseudomonasaeruginosa AT beckertanja globalgenotypephenotypecorrelationsinpseudomonasaeruginosa AT dotschandreas globalgenotypephenotypecorrelationsinpseudomonasaeruginosa AT klawonnfrank globalgenotypephenotypecorrelationsinpseudomonasaeruginosa AT hausslersusanne globalgenotypephenotypecorrelationsinpseudomonasaeruginosa |