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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
Published by: American Society of Plant Biologists (ASPB)
Stable URL: http://www.jstor.org/stable/23598256
Page Count: 13
You can always find the topics here!Topics: Datasets, Plants, Gene expression, Genes, Residual stress, Performance prediction, Leaves, Genotypes, Plant cells, P values
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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.
The Plant Cell © 2013 American Society of Plant Biologists (ASPB)