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Rational association of genes with traits using a genome-scale gene network for Arabidopsis thaliana.


ABSTRACT: We introduce a rational approach for associating genes with plant traits by combined use of a genome-scale functional network and targeted reverse genetic screening. We present a probabilistic network (AraNet) of functional associations among 19,647 (73%) genes of the reference flowering plant Arabidopsis thaliana. AraNet associations are predictive for diverse biological pathways, and outperform predictions derived only from literature-based protein interactions, achieving 21% precision for 55% of genes. AraNet prioritizes genes for limited-scale functional screening, resulting in a hit-rate tenfold greater than screens of random insertional mutants, when applied to early seedling development as a test case. By interrogating network neighborhoods, we identify AT1G80710 (now DROUGHT SENSITIVE 1; DRS1) and AT3G05090 (now LATERAL ROOT STIMULATOR 1; LRS1) as regulators of drought sensitivity and lateral root development, respectively. AraNet (http://www.functionalnet.org/aranet/) provides a resource for plant gene function identification and genetic dissection of plant traits.

SUBMITTER: Lee I 

PROVIDER: S-EPMC2857375 | biostudies-literature | 2010 Feb

REPOSITORIES: biostudies-literature

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Rational association of genes with traits using a genome-scale gene network for Arabidopsis thaliana.

Lee Insuk I   Ambaru Bindu B   Thakkar Pranjali P   Marcotte Edward M EM   Rhee Seung Y SY  

Nature biotechnology 20100131 2


We introduce a rational approach for associating genes with plant traits by combined use of a genome-scale functional network and targeted reverse genetic screening. We present a probabilistic network (AraNet) of functional associations among 19,647 (73%) genes of the reference flowering plant Arabidopsis thaliana. AraNet associations are predictive for diverse biological pathways, and outperform predictions derived only from literature-based protein interactions, achieving 21% precision for 55%  ...[more]

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