Annotation of plant gene function via combined genomics, metabolomics and informatics.
Given the ever expanding number of model plant species for which complete genome sequences are available and the abundance of bio-resources such as knockout mutants, wild accessions and advanced breeding populations, there is a rising burden for gene functional annotation. In this protocol, annotation of plant gene function using combined co-expression gene analysis, metabolomics and informatics is provided (Figure 1). This approach is based on the theory of using target genes of known function to allow the identification of non-annotated genes likely to be involved in a certain metabolic process, with the identification of target compounds via metabolomics. Strategies are put forward for applying this information on populations generated by both forward and reverse genetics approaches in spite of none of these are effortless. By corollary this approach can also be used as an approach to characterise unknown peaks representing new or specific secondary metabolites in the limited tissues, plant species or stress treatment, which is currently the important trial to understanding plant metabolism.
Molekulare Pflanzenphysiologie, Max-Planck-Institut. tohge@mpimp-golm.mpg.de
Takayuki
T
Tohge
Alisdair R
AR
Fernie
D019295:Computational Biology / Q000379:methods; D018506:Gene Expression Regulation, Plant; D017343:Genes, Plant; D018745:Genome, Plant; D023281:Genomics / Q000379:methods; D055432:Metabolomics / Q000379:methods; D058977:Molecular Sequence Annotation / Q000379:methods*; D010944:Plants / Q000235:genetics* / Q000378:metabolism*