Premium
Functional genomics in a non‐model crop: transcriptomics or proteomics?
Author(s) -
Carpentier Sebastien Christian,
Coemans Bert,
Podevin Nancy,
Laukens Kris,
Witters Erwin,
Matsumura Hideo,
Terauchi Ryohei,
Swennen Rony,
Panis Bart
Publication year - 2008
Publication title -
physiologia plantarum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.351
H-Index - 146
eISSN - 1399-3054
pISSN - 0031-9317
DOI - 10.1111/j.1399-3054.2008.01069.x
Subject(s) - proteomics , transcriptome , computational biology , functional genomics , abundance (ecology) , biology , genomics , gene expression , rna , gene , protein expression , crop , bioinformatics , genome , genetics , agronomy , ecology
There is no question that protein‐ and RNA‐based measurements are complementary, but which approach has the highest return in the case of a non‐model crop and what is the correlation between mRNA and proteins? We describe and evaluate in detail the advantages and pitfalls of both a proteomics and a transcriptomics approach. The information on the abundance of transcripts was obtained by serial analysis of gene expression (SAGE), while information on the abundance of proteins was obtained via two‐dimensional gel electrophoresis.