Conserved changes in dynamics of metabolic processes during fruit development and ripening across species

SEBASTIAN KLIE; SONIA OSORIO; TAKAYUKI TOHGE; MARIA FABIANA DRINCOVICH; AARON FAIT; JAMES J. GIOVANNONI; ALISDAIR R. FERNIE; ZORAN NIKOLOSKI

PLANT PHYSIOLOGY.

AMER SOC PLANT BIOLOGISTS

Lugar: Rockville; Año: 2013 p. 1 - 16

0032-0889

Computational analyses of molecular phenotypes traditionally aim at identifying biochemicalcomponents, which exhibit differential expression under various scenarios (e.g., environmentaland internal perturbations) in a single species. High-throughput metabolomics technologies allowquantification of (relative) metabolite levels across developmental stages in different tissues,organs, and species. Novel analysis of the resulting multiple data tables could reveal preservedchanges in the dynamics of metabolic processes across species. The problem we address in thisstudy is twofold: we attempt to (i) derive a single data table, referred to as a compromise, whichcaptures information common to the investigated set of multiple tables capturing different fruitdevelopment and ripening stages in three climacteric (i.e., peach and two tomato cultivars, AliceCraig and M82) and two non-climacteric (i.e., strawberry, pepper) fruits, and (ii) identifyconservation of changes in the dynamics of metabolic processes, reflected in the data profiles ofthe corresponding metabolites contributing most to the determined compromise. Our analysis isbased on an extension to principle component analysis called STATIS in combination withpathway over-enrichment analysis. Based on publically available metabolic profiles for theinvestigated species, we demonstrate that STATIS can be used to identify the metabolicprocesses whose behavior is similarly affected during the fruit development and ripening. Thesefindings ultimately provide insights in the pathways, which are essential during fruitdevelopment and ripening across species