Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

If You Use a Screen Reader

This content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.

Predicting Gene Function from Uncontrolled Expression Variation among Individual Wild-Type Arabidopsis Plants

Rahul Bhosale, Jeremy B. Jewell, Jens Hollunder, Abraham J.K. Koo, Marnik Vuylsteke, Tom Michoel, Pierre Hilson, Alain Goossens, Gregg A. Howe, John Browse and Steven Maere
The Plant Cell
Vol. 25, No. 8 (AUGUST 2013), pp. 2865-2877
Stable URL: http://www.jstor.org/stable/23598256
Page Count: 13
  • Read Online (Free)
  • Subscribe ($19.50)
  • Cite this Item
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Predicting Gene Function from Uncontrolled Expression Variation among Individual Wild-Type Arabidopsis Plants
Preview not available

Abstract

Gene expression profiling studies are usually performed on pooled samples grown under tightly controlled experimental conditions to suppress variability among individuals and increase experimental reproducibility. In addition, to mask unwanted residual effects, the samples are often subjected to relatively harsh treatments that are unrealistic in a natural context. Here, we show that expression variations among individual wild-type Arabidopsis thaliana plants grown under the same macroscopic growth conditions contain as much information on the underlying gene network structure as expression profiles of pooled plant samples under controlled experimental perturbations. We advocate the use of subtle uncontrolled variations in gene expression between individuals to uncover functional links between genes and unravel regulatory influences. As a case study, we use this approach to identify ILL6 as a new regulatory component of the jasmonate response pathway.

Page Thumbnails

  • Thumbnail: Page 
[2865]
    [2865]
  • Thumbnail: Page 
2866
    2866
  • Thumbnail: Page 
2867
    2867
  • Thumbnail: Page 
2868
    2868
  • Thumbnail: Page 
2869
    2869
  • Thumbnail: Page 
2870
    2870
  • Thumbnail: Page 
2871
    2871
  • Thumbnail: Page 
2872
    2872
  • Thumbnail: Page 
2873
    2873
  • Thumbnail: Page 
2874
    2874
  • Thumbnail: Page 
2875
    2875
  • Thumbnail: Page 
2876
    2876
  • Thumbnail: Page 
2877
    2877