Cargando…

Evidence-Based Annotation of Gene Function in Shewanella oneidensis MR-1 Using Genome-Wide Fitness Profiling across 121 Conditions

Most genes in bacteria are experimentally uncharacterized and cannot be annotated with a specific function. Given the great diversity of bacteria and the ease of genome sequencing, high-throughput approaches to identify gene function experimentally are needed. Here, we use pools of tagged transposon...

Descripción completa

Detalles Bibliográficos
Autores principales: Deutschbauer, Adam, Price, Morgan N., Wetmore, Kelly M., Shao, Wenjun, Baumohl, Jason K., Xu, Zhuchen, Nguyen, Michelle, Tamse, Raquel, Davis, Ronald W., Arkin, Adam P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3219624/
https://www.ncbi.nlm.nih.gov/pubmed/22125499
http://dx.doi.org/10.1371/journal.pgen.1002385
_version_ 1782216863073173504
author Deutschbauer, Adam
Price, Morgan N.
Wetmore, Kelly M.
Shao, Wenjun
Baumohl, Jason K.
Xu, Zhuchen
Nguyen, Michelle
Tamse, Raquel
Davis, Ronald W.
Arkin, Adam P.
author_facet Deutschbauer, Adam
Price, Morgan N.
Wetmore, Kelly M.
Shao, Wenjun
Baumohl, Jason K.
Xu, Zhuchen
Nguyen, Michelle
Tamse, Raquel
Davis, Ronald W.
Arkin, Adam P.
author_sort Deutschbauer, Adam
collection PubMed
description Most genes in bacteria are experimentally uncharacterized and cannot be annotated with a specific function. Given the great diversity of bacteria and the ease of genome sequencing, high-throughput approaches to identify gene function experimentally are needed. Here, we use pools of tagged transposon mutants in the metal-reducing bacterium Shewanella oneidensis MR-1 to probe the mutant fitness of 3,355 genes in 121 diverse conditions including different growth substrates, alternative electron acceptors, stresses, and motility. We find that 2,350 genes have a pattern of fitness that is significantly different from random and 1,230 of these genes (37% of our total assayed genes) have enough signal to show strong biological correlations. We find that genes in all functional categories have phenotypes, including hundreds of hypotheticals, and that potentially redundant genes (over 50% amino acid identity to another gene in the genome) are also likely to have distinct phenotypes. Using fitness patterns, we were able to propose specific molecular functions for 40 genes or operons that lacked specific annotations or had incomplete annotations. In one example, we demonstrate that the previously hypothetical gene SO_3749 encodes a functional acetylornithine deacetylase, thus filling a missing step in S. oneidensis metabolism. Additionally, we demonstrate that the orphan histidine kinase SO_2742 and orphan response regulator SO_2648 form a signal transduction pathway that activates expression of acetyl-CoA synthase and is required for S. oneidensis to grow on acetate as a carbon source. Lastly, we demonstrate that gene expression and mutant fitness are poorly correlated and that mutant fitness generates more confident predictions of gene function than does gene expression. The approach described here can be applied generally to create large-scale gene-phenotype maps for evidence-based annotation of gene function in prokaryotes.
format Online
Article
Text
id pubmed-3219624
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-32196242011-11-28 Evidence-Based Annotation of Gene Function in Shewanella oneidensis MR-1 Using Genome-Wide Fitness Profiling across 121 Conditions Deutschbauer, Adam Price, Morgan N. Wetmore, Kelly M. Shao, Wenjun Baumohl, Jason K. Xu, Zhuchen Nguyen, Michelle Tamse, Raquel Davis, Ronald W. Arkin, Adam P. PLoS Genet Research Article Most genes in bacteria are experimentally uncharacterized and cannot be annotated with a specific function. Given the great diversity of bacteria and the ease of genome sequencing, high-throughput approaches to identify gene function experimentally are needed. Here, we use pools of tagged transposon mutants in the metal-reducing bacterium Shewanella oneidensis MR-1 to probe the mutant fitness of 3,355 genes in 121 diverse conditions including different growth substrates, alternative electron acceptors, stresses, and motility. We find that 2,350 genes have a pattern of fitness that is significantly different from random and 1,230 of these genes (37% of our total assayed genes) have enough signal to show strong biological correlations. We find that genes in all functional categories have phenotypes, including hundreds of hypotheticals, and that potentially redundant genes (over 50% amino acid identity to another gene in the genome) are also likely to have distinct phenotypes. Using fitness patterns, we were able to propose specific molecular functions for 40 genes or operons that lacked specific annotations or had incomplete annotations. In one example, we demonstrate that the previously hypothetical gene SO_3749 encodes a functional acetylornithine deacetylase, thus filling a missing step in S. oneidensis metabolism. Additionally, we demonstrate that the orphan histidine kinase SO_2742 and orphan response regulator SO_2648 form a signal transduction pathway that activates expression of acetyl-CoA synthase and is required for S. oneidensis to grow on acetate as a carbon source. Lastly, we demonstrate that gene expression and mutant fitness are poorly correlated and that mutant fitness generates more confident predictions of gene function than does gene expression. The approach described here can be applied generally to create large-scale gene-phenotype maps for evidence-based annotation of gene function in prokaryotes. Public Library of Science 2011-11-17 /pmc/articles/PMC3219624/ /pubmed/22125499 http://dx.doi.org/10.1371/journal.pgen.1002385 Text en This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Deutschbauer, Adam
Price, Morgan N.
Wetmore, Kelly M.
Shao, Wenjun
Baumohl, Jason K.
Xu, Zhuchen
Nguyen, Michelle
Tamse, Raquel
Davis, Ronald W.
Arkin, Adam P.
Evidence-Based Annotation of Gene Function in Shewanella oneidensis MR-1 Using Genome-Wide Fitness Profiling across 121 Conditions
title Evidence-Based Annotation of Gene Function in Shewanella oneidensis MR-1 Using Genome-Wide Fitness Profiling across 121 Conditions
title_full Evidence-Based Annotation of Gene Function in Shewanella oneidensis MR-1 Using Genome-Wide Fitness Profiling across 121 Conditions
title_fullStr Evidence-Based Annotation of Gene Function in Shewanella oneidensis MR-1 Using Genome-Wide Fitness Profiling across 121 Conditions
title_full_unstemmed Evidence-Based Annotation of Gene Function in Shewanella oneidensis MR-1 Using Genome-Wide Fitness Profiling across 121 Conditions
title_short Evidence-Based Annotation of Gene Function in Shewanella oneidensis MR-1 Using Genome-Wide Fitness Profiling across 121 Conditions
title_sort evidence-based annotation of gene function in shewanella oneidensis mr-1 using genome-wide fitness profiling across 121 conditions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3219624/
https://www.ncbi.nlm.nih.gov/pubmed/22125499
http://dx.doi.org/10.1371/journal.pgen.1002385
work_keys_str_mv AT deutschbaueradam evidencebasedannotationofgenefunctioninshewanellaoneidensismr1usinggenomewidefitnessprofilingacross121conditions
AT pricemorgann evidencebasedannotationofgenefunctioninshewanellaoneidensismr1usinggenomewidefitnessprofilingacross121conditions
AT wetmorekellym evidencebasedannotationofgenefunctioninshewanellaoneidensismr1usinggenomewidefitnessprofilingacross121conditions
AT shaowenjun evidencebasedannotationofgenefunctioninshewanellaoneidensismr1usinggenomewidefitnessprofilingacross121conditions
AT baumohljasonk evidencebasedannotationofgenefunctioninshewanellaoneidensismr1usinggenomewidefitnessprofilingacross121conditions
AT xuzhuchen evidencebasedannotationofgenefunctioninshewanellaoneidensismr1usinggenomewidefitnessprofilingacross121conditions
AT nguyenmichelle evidencebasedannotationofgenefunctioninshewanellaoneidensismr1usinggenomewidefitnessprofilingacross121conditions
AT tamseraquel evidencebasedannotationofgenefunctioninshewanellaoneidensismr1usinggenomewidefitnessprofilingacross121conditions
AT davisronaldw evidencebasedannotationofgenefunctioninshewanellaoneidensismr1usinggenomewidefitnessprofilingacross121conditions
AT arkinadamp evidencebasedannotationofgenefunctioninshewanellaoneidensismr1usinggenomewidefitnessprofilingacross121conditions