Proteomics for genetic and physiological studies in plants
H Thiellement, N Bahrman, C Damerval… - …, 1999 - Wiley Online Library
H Thiellement, N Bahrman, C Damerval, C Plomion, M Rossignol, V Santoni, D De Vienne…
ELECTROPHORESIS: An International Journal, 1999•Wiley Online LibraryProteomics is becoming a necessity in plant biology, as it is in medicine, zoology and
microbiology, for deciphering the function and role of the genes that are or will be
sequenced. In this review we focus on the various, mainly genetic, applications of the
proteomic tools that have been developed in recent years: characterization of individuals or
lines, estimation of genetic variability within and between populations, establishment of
genetic distances that can be used in phylogenetic studies, characterization of mutants and …
microbiology, for deciphering the function and role of the genes that are or will be
sequenced. In this review we focus on the various, mainly genetic, applications of the
proteomic tools that have been developed in recent years: characterization of individuals or
lines, estimation of genetic variability within and between populations, establishment of
genetic distances that can be used in phylogenetic studies, characterization of mutants and …
Abstract
Proteomics is becoming a necessity in plant biology, as it is in medicine, zoology and microbiology, for deciphering the function and role of the genes that are or will be sequenced. In this review we focus on the various, mainly genetic, applications of the proteomic tools that have been developed in recent years: characterization of individuals or lines, estimation of genetic variability within and between populations, establishment of genetic distances that can be used in phylogenetic studies, characterization of mutants and localization of the genes encoding the revealed proteins. Improvements in specifically devoted software have permitted precise quantification of the variation in amounts of proteins, leading to the concept of “protein quantity loci” which, combined with the “quantitative trait loci” approach, results in testable hypotheses regarding the role of “candidate proteins” in the metabolism or phenotype under study. This new development is exemplified by the reaction of plants to drought, a trait of major agronomic interest. The accumulation of data regarding genomic and cDNA sequencing will be connected to the protein databases currently developed in plants.
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