English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Rapid classification of phenotypic mutants of arabidopsis via metabolite fingerprinting

Messerli, G., Nia, V. P., Trevisan, M., Kolbe, A., Schauer, N., Geigenberger, P., et al. (2007). Rapid classification of phenotypic mutants of arabidopsis via metabolite fingerprinting. Plant Physiology, 143(4), 1484-1492. doi:10.1104/pp.106.090795.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-28C8-B Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-28C9-9
Genre: Journal Article

Files

show Files
hide Files
:
Messerli-2007-Rapid classification.pdf (Any fulltext), 3MB
Name:
Messerli-2007-Rapid classification.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Messerli, G.1, Author
Nia, V. P.1, Author
Trevisan, M.1, Author
Kolbe, A.1, Author
Schauer, N.2, Author              
Geigenberger, P.3, Author              
Chen, J. C.1, Author
Davison, A. C.1, Author
Fernie, A. R.2, Author              
Zeeman, S. C.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753339              
3Storage Carbohydrate Metabolism, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753336              

Content

show
hide
Free keywords: starch degradation functional genomics maltose metabolism circadian clock leaf starch thaliana isoamylase protein leaves plants
 Abstract: We 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.

Details

show
hide
Language(s): eng - English
 Dates: 2007-02-062007
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: ISI: ISI:000245781000004
DOI: 10.1104/pp.106.090795
ISSN: 0032-0889 (Print) 0032-0889 (Linking)
URI: ://000245781000004 http://www.jstor.org/stable/pdfplus/40065366.pdf
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Plant Physiology
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 143 (4) Sequence Number: - Start / End Page: 1484 - 1492 Identifier: -