000114628 001__ 114628
000114628 005__ 20190316234104.0
000114628 0247_ $$2doi$$a10.1104/pp.106.090795
000114628 02470 $$2DAR$$a10474
000114628 02470 $$2ISI$$a000245781000004
000114628 037__ $$aARTICLE
000114628 245__ $$aRapid Classification of Phenotypic Mutants of Arabidopsis via Metabolite Fingerprinting
000114628 269__ $$a2007
000114628 260__ $$c2007
000114628 336__ $$aJournal Articles
000114628 520__ $$aWe evaluated the application of gas chromatography-mass spectrometry metabolic fingerprinting to classify forward genetic mutants with similar phenotypes. Mutations affecting distinct metabolic or signaling pathways can result in common phenotypic traits that are used to identify mutants in genetic screens. Measurement of a broad range of metabolites provides information about the underlying processes affected in such mutants. Metabolite profiles of Arabidopsis (Arabidopsis thaliana) mutants defective in starch metabolism and uncharacterized mutants displaying a starch-excess phenotype were compared. Each genotype displayed a unique fingerprint. Statistical methods grouped the mutants robustly into distinct classes. Determining the genes mutated in three uncharacterized mutants confirmed that those clustering with known mutants were genuinely defective in starch metabolism. A mutant that clustered away from the known mutants was defective in the circadian clock and had a pleiotropic starch-excess phenotype. These results indicate that metabolic fingerprinting is a powerful tool that can rapidly classify forward genetic mutants and streamline the process of gene discovery.
000114628 700__ $$aMesserli, Gaëlle
000114628 700__ $$0240586$$aPartovi Nia, Vahid$$g168323
000114628 700__ $$aTrevisan, Martine
000114628 700__ $$aKolbe, Anna
000114628 700__ $$aSchauer, Nicolas
000114628 700__ $$aGeigenberger, Peter
000114628 700__ $$aChen, Jychian
000114628 700__ $$0240476$$aDavison, Anthony C.$$g111184
000114628 700__ $$aFernie, Alisdair R.
000114628 700__ $$aZeeman, Samuel C.
000114628 773__ $$j143$$q1484-1492$$tPlant Physiology
000114628 8564_ $$uhttp://www.plantphysiol.org/cgi/content/short/pp.106.090795?keytype=ref&ijkey=GOkLz901ENDKpzS$$zURL
000114628 909C0 $$0252136$$pSTAT$$xU10124
000114628 909CO $$ooai:infoscience.tind.io:114628$$pSB$$particle$$qGLOBAL_SET
000114628 937__ $$aSTAT-ARTICLE-2007-003
000114628 973__ $$aOTHER$$rREVIEWED$$sPUBLISHED
000114628 980__ $$aARTICLE