[Metabolic control of seed germination].
We have used proteomics to better characterize germination and early seedling vigor in sugarbeet. Our strategy includes (1) construction of proteome reference maps for dry and germinating seeds of a high-vigor reference seed lot; (2) investigation of the specific tissue accumulation of proteins (root, cotyledon, perisperm); (3) investigation of changes in protein expression profiles detected in the reference seed lot subjected to different vigor-modifying treatments, e.g. aging and/or priming. More than 1 000 sugarbeet seed proteins have been identified by LC/MS-MS mass spectrometry (albumins, globulins and glutelins have been analyzed separately). Due to the conservation of protein sequences and the quality of MS sequencing (more than 10 000 peptide sequences have been obtained), the success rate of protein identification was on the average of 80%. This is to our knowledge the best detailed proteome analysis ever carried out in seeds. The data allowed us to build a detailed metabolic chart of the sugarbeet seed, generating new insights into the molecular mechanisms determining the development of a new seedling. Also, the proteome of a seed-storage tissue as the perisperm is described for the first time.
Catusse
Julie
J
CNRS / UCBL / INSA / Bayer CropScience Joint Laboratory, Bayer CropScience (UMR CNRS 5240), 14-20 rue Pierre Baizet, 69263 Lyon Cedex 9, France.
Strub
Jean-Marc
JM
Job
Claudette
C
Van Dorsselaer
Alain
A
Job
Dominique
D
D000595:Amino Acid Sequence; D027461:Beta vulgaris / Q000254:growth & development / Q000378:metabolism*; D018525:Germination / Q000502:physiology*; D053858:Metabolic Networks and Pathways; D010940:Plant Proteins / Q000737:chemistry / Q000502:physiology*; D040901:Proteomics; D036226:Seedlings / Q000378:metabolism; D012639:Seeds / Q000378:metabolism*
D010940:Plant Proteins