Document Detail


Plant metabolomics: from holistic hope, to hype, to hot topic.
MedLine Citation:
PMID:  16411949     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In a short time, plant metabolomics has gone from being just an ambitious concept to being a rapidly growing, valuable technology applied in the stride to gain a more global picture of the molecular organization of multicellular organisms. The combination of improved analytical capabilities with newly designed, dedicated statistical, bioinformatics and data mining strategies, is beginning to broaden the horizons of our understanding of how plants are organized and how metabolism is both controlled but highly flexible. Metabolomics is predicted to play a significant, if not indispensable role in bridging the phenotype-genotype gap and thus in assisting us in our desire for full genome sequence annotation as part of the quest to link gene to function. Plants are a fabulously rich source of diverse functional biochemicals and metabolomics is also already proving valuable in an applied context. By creating unique opportunities for us to interrogate plant systems and characterize their biochemical composition, metabolomics will greatly assist in identifying and defining much of the still unexploited biodiversity available today.
Authors:
Robert D Hall
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  The New phytologist     Volume:  169     ISSN:  0028-646X     ISO Abbreviation:  New Phytol.     Publication Date:  2006  
Date Detail:
Created Date:  2006-01-17     Completed Date:  2006-03-27     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9882884     Medline TA:  New Phytol     Country:  England    
Other Details:
Languages:  eng     Pagination:  453-68     Citation Subset:  IM    
Affiliation:
Plant Research International, Business Unit Bioscience, PO Box 16, 6700 AA Wageningen, the Netherlands. robert.hall@wur.nl
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MeSH Terms
Descriptor/Qualifier:
Biotechnology / methods
Botany / methods*
Computational Biology
Data Interpretation, Statistical
Genomics
Plants / genetics,  metabolism*
Spectrum Analysis / methods

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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