Format

Send to

Choose Destination
Nat Biotechnol. 2014 Mar;32(3):285-290. doi: 10.1038/nbt.2831. Epub 2014 Feb 23.

The binary protein-protein interaction landscape of Escherichia coli.

Author information

1
J Craig Venter Institute, Rockville, Maryland, USA.
2
Department of Biochemistry, Research and Innovation Centre, University of Regina, Regina, Saskatchewan, Canada.
3
Joint IRB-BSC Program in Computational Biology, Institute for Research in Biomedicine (IRB Barcelona), Barcelona, Spain.
4
The Banting and Best Department of Medical Research, Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.
5
German Cancer Research Center (DKFZ), Heidelberg, Germany.
6
National Center of Biotechnology Information, National Institutes of Health, Bethesda, MD, USA.
7
Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
8
Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, USA.
#
Contributed equally

Abstract

Efforts to map the Escherichia coli interactome have identified several hundred macromolecular complexes, but direct binary protein-protein interactions (PPIs) have not been surveyed on a large scale. Here we performed yeast two-hybrid screens of 3,305 baits against 3,606 preys (∼70% of the E. coli proteome) in duplicate to generate a map of 2,234 interactions, which approximately doubles the number of known binary PPIs in E. coli. Integration of binary PPI and genetic-interaction data revealed functional dependencies among components involved in cellular processes, including envelope integrity, flagellum assembly and protein quality control. Many of the binary interactions that we could map in multiprotein complexes were informative regarding internal topology of complexes and indicated that interactions in complexes are substantially more conserved than those interactions connecting different complexes. This resource will be useful for inferring bacterial gene function and provides a draft reference of the basic physical wiring network of this evolutionarily important model microbe.

Comment in

PMID:
24561554
PMCID:
PMC4123855
DOI:
10.1038/nbt.2831
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Nature Publishing Group Icon for PubMed Central
Loading ...
Support Center