Predicting Gene Function from Uncontrolled Expression Variation among Individual Wild-Type Arabidopsis Plants
Author(s) -
Rahul Bhosale,
Jeremy B. Jewell,
Jens Hollunder,
Abraham J. Koo,
Marnik Vuylsteke,
Tom Michoel,
Pierre Hilson,
Alain Goossens,
Gregg A. Howe,
John Browse,
Steven Maere
Publication year - 2013
Publication title -
the plant cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.324
H-Index - 341
eISSN - 1532-298X
pISSN - 1040-4651
DOI - 10.1105/tpc.113.112268
Subject(s) - biology , arabidopsis , gene expression , gene , arabidopsis thaliana , gene expression profiling , gene regulatory network , context (archaeology) , methyl jasmonate , function (biology) , wild type , genetics , computational biology , regulation of gene expression , mutant , paleontology
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.
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