alexa Identification of plant stress-responsive determinants in Arabidopsis by large-scale forward genetic screens.
Bioinformatics & Systems Biology

Bioinformatics & Systems Biology

Transcriptomics: Open Access

Author(s): Koiwa H, Bressan RA, Hasegawa PM

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Abstract All plants sense and adapt to adverse environmental conditions, however, crop plants exhibit less genetic diversity for abiotic stress tolerance than do wild relatives indicating that a genetic basis exists for stress adaptability. Model plant genetic systems and the plethora of molecular genetic resources that are currently available are greatly enhancing our ability to identify abiotic stress-responsive genetic determinants. Forward genetic screens of T-DNA mutagenized Arabidopsis thaliana populations in the genetic background of ecotypes C24(RD29a-LUC) and Col-0 gl1 sos3-1 were carried out to begin an exhaustive search for such determinants. The C24(RD29a-LUC) screens identified mutants with altered salt/osmotic stress sensitivity or mutants with altered expression of the salt/osmotic/cold/ABA-responsive RD29a gene. Also, mutations that alter the NaCl sensitivity of sos3-1 were screened for potential genetic suppressors or enhancers of salt-stress responses mediated by SOS3. In total, more than 250 000 independent insertion lines were screened and greater than 200 individual mutants that exhibited altered stress/ABA responses were recovered. Although several of these mutants have been reported, most have not yet been studied in detail. Notable examples include novel alleles of SOS1 and mutations to genes encoding the STT3a subunit of the oligosaccharyltransferase, syntaxin, RNA polymerase II CTD phosphatases, transcription factors, ABA biosynthetic enzyme, Na+ transporter HKT1, and SUMO E3 ligase. The stress-specific phenotypes of mutations to genes that are involved in many basic cellular functions provide indication of the wide range of control mechanisms in cellular homeostasis that are involved in stress adaptation. This article was published in J Exp Bot and referenced in Transcriptomics: Open Access

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