Access

Article

Nature 421, 231-237 (16 January 2003) | doi:10.1038/nature01278; Received 2 July 2002; Accepted 29 October 2002

Open Innovation Challenges

naturejobs

Systematic functional analysis of the Caenorhabditis elegans genome using RNAi

Ravi S. Kamath1,2, Andrew G. Fraser1,2,4, Yan Dong1, Gino Poulin1, Richard Durbin3, Monica Gotta1,4, Alexander Kanapin5, Nathalie Le Bot1, Sergio Moreno1,6, Marc Sohrmann3,4, David P. Welchman1, Peder Zipperlen1 & Julie Ahringer1

  1. Wellcome Trust/Cancer Research UK Institute and Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK
  2. Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
  3. EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
  4. Centro de Investigacion del Cancer, CSIC / Univ. Salamanca, Campus Miguel de Unamuno, 37007 Salamanca, Spain
  5. These authors contributed equally to this work
  6. Present addresses: Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK (A.G.F.); Institute of Biochemistry ETH Hoenggerberg, 8093-Zurich, Switzerland (M.G., M.S.)..

Correspondence to: Julie Ahringer1 Correspondence and requests for materials should be addressed to J.A. (e-mail: Email: jaa@mole.bio.cam.ac.uk).

Top

A principal challenge currently facing biologists is how to connect the complete DNA sequence of an organism to its development and behaviour. Large-scale targeted-deletions have been successful in defining gene functions in the single-celled yeast Saccharomyces cerevisiae, but comparable analyses have yet to be performed in an animal. Here we describe the use of RNA interference to inhibit the function of approx86% of the 19,427 predicted genes of C. elegans. We identified mutant phenotypes for 1,722 genes, about two-thirds of which were not previously associated with a phenotype. We find that genes of similar functions are clustered in distinct, multi-megabase regions of individual chromosomes; genes in these regions tend to share transcriptional profiles. Our resulting data set and reusable RNAi library of 16,757 bacterial clones will facilitate systematic analyses of the connections among gene sequence, chromosomal location and gene function in C. elegans.

  1. Wellcome Trust/Cancer Research UK Institute and Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK
  2. Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
  3. EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
  4. Centro de Investigacion del Cancer, CSIC / Univ. Salamanca, Campus Miguel de Unamuno, 37007 Salamanca, Spain
  5. These authors contributed equally to this work
  6. Present addresses: Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK (A.G.F.); Institute of Biochemistry ETH Hoenggerberg, 8093-Zurich, Switzerland (M.G., M.S.)..

Correspondence to: Julie Ahringer1 Correspondence and requests for materials should be addressed to J.A. (e-mail: Email: jaa@mole.bio.cam.ac.uk).