Cargando…

A tool-kit for high-throughput, quantitative analyses of genetic interactions in E. coli

Large-scale genetic interaction studies provide the basis for defining gene function and pathway architecture. Recent advances in the ability to generate double mutants en masse in S. cerevisiae have dramatically accelerated the acquisition of genetic interaction information and the biological infer...

Descripción completa

Detalles Bibliográficos
Autores principales: Typas, Athanasios, Nichols, Robert J., Siegele, Deborah A., Shales, Michael, Collins, Sean, Lim, Bentley, Braberg, Hannes, Yamamoto, Natsuko, Takeuchi, Rikiya, Wanner, Barry L., Mori, Hirotada, Weissman, Jonathan S., Krogan, Nevan J., Gross, Carol A.
Formato: Texto
Lenguaje:English
Publicado: 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2700713/
https://www.ncbi.nlm.nih.gov/pubmed/19160513
_version_ 1782168650484023296
author Typas, Athanasios
Nichols, Robert J.
Siegele, Deborah A.
Shales, Michael
Collins, Sean
Lim, Bentley
Braberg, Hannes
Yamamoto, Natsuko
Takeuchi, Rikiya
Wanner, Barry L.
Mori, Hirotada
Weissman, Jonathan S.
Krogan, Nevan J.
Gross, Carol A.
author_facet Typas, Athanasios
Nichols, Robert J.
Siegele, Deborah A.
Shales, Michael
Collins, Sean
Lim, Bentley
Braberg, Hannes
Yamamoto, Natsuko
Takeuchi, Rikiya
Wanner, Barry L.
Mori, Hirotada
Weissman, Jonathan S.
Krogan, Nevan J.
Gross, Carol A.
author_sort Typas, Athanasios
collection PubMed
description Large-scale genetic interaction studies provide the basis for defining gene function and pathway architecture. Recent advances in the ability to generate double mutants en masse in S. cerevisiae have dramatically accelerated the acquisition of genetic interaction information and the biological inferences that follow. Here, we describe a method based on F-driven conjugation, which allows for high-throughput generation of double mutants in E. coli. This method, termed Genetic Interaction ANalysis Technology for E. coli (GIANT-coli), permits us to systematically generate and array double mutant cells on solid media, in high-density arrays. We show that colony size provides a robust and quantitative output of cellular fitness and that GIANT-coli can recapitulate known synthetic interactions and identify new negative (synthetic sickness/lethality) and positive (suppressive/epistatic) relationships. Finally, we describe a complementary strategy for suppressor mutant identification on a genome-wide level. Together, these methods permit rapid, large-scale genetic interaction studies in E. coli.
format Text
id pubmed-2700713
institution National Center for Biotechnology Information
language English
publishDate 2008
record_format MEDLINE/PubMed
spelling pubmed-27007132009-06-23 A tool-kit for high-throughput, quantitative analyses of genetic interactions in E. coli Typas, Athanasios Nichols, Robert J. Siegele, Deborah A. Shales, Michael Collins, Sean Lim, Bentley Braberg, Hannes Yamamoto, Natsuko Takeuchi, Rikiya Wanner, Barry L. Mori, Hirotada Weissman, Jonathan S. Krogan, Nevan J. Gross, Carol A. Nat Methods Article Large-scale genetic interaction studies provide the basis for defining gene function and pathway architecture. Recent advances in the ability to generate double mutants en masse in S. cerevisiae have dramatically accelerated the acquisition of genetic interaction information and the biological inferences that follow. Here, we describe a method based on F-driven conjugation, which allows for high-throughput generation of double mutants in E. coli. This method, termed Genetic Interaction ANalysis Technology for E. coli (GIANT-coli), permits us to systematically generate and array double mutant cells on solid media, in high-density arrays. We show that colony size provides a robust and quantitative output of cellular fitness and that GIANT-coli can recapitulate known synthetic interactions and identify new negative (synthetic sickness/lethality) and positive (suppressive/epistatic) relationships. Finally, we describe a complementary strategy for suppressor mutant identification on a genome-wide level. Together, these methods permit rapid, large-scale genetic interaction studies in E. coli. 2008-09 /pmc/articles/PMC2700713/ /pubmed/19160513 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Typas, Athanasios
Nichols, Robert J.
Siegele, Deborah A.
Shales, Michael
Collins, Sean
Lim, Bentley
Braberg, Hannes
Yamamoto, Natsuko
Takeuchi, Rikiya
Wanner, Barry L.
Mori, Hirotada
Weissman, Jonathan S.
Krogan, Nevan J.
Gross, Carol A.
A tool-kit for high-throughput, quantitative analyses of genetic interactions in E. coli
title A tool-kit for high-throughput, quantitative analyses of genetic interactions in E. coli
title_full A tool-kit for high-throughput, quantitative analyses of genetic interactions in E. coli
title_fullStr A tool-kit for high-throughput, quantitative analyses of genetic interactions in E. coli
title_full_unstemmed A tool-kit for high-throughput, quantitative analyses of genetic interactions in E. coli
title_short A tool-kit for high-throughput, quantitative analyses of genetic interactions in E. coli
title_sort tool-kit for high-throughput, quantitative analyses of genetic interactions in e. coli
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2700713/
https://www.ncbi.nlm.nih.gov/pubmed/19160513
work_keys_str_mv AT typasathanasios atoolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT nicholsrobertj atoolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT siegeledeboraha atoolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT shalesmichael atoolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT collinssean atoolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT limbentley atoolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT braberghannes atoolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT yamamotonatsuko atoolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT takeuchirikiya atoolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT wannerbarryl atoolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT morihirotada atoolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT weissmanjonathans atoolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT krogannevanj atoolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT grosscarola atoolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT typasathanasios toolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT nicholsrobertj toolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT siegeledeboraha toolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT shalesmichael toolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT collinssean toolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT limbentley toolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT braberghannes toolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT yamamotonatsuko toolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT takeuchirikiya toolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT wannerbarryl toolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT morihirotada toolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT weissmanjonathans toolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT krogannevanj toolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli
AT grosscarola toolkitforhighthroughputquantitativeanalysesofgeneticinteractionsinecoli