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PMID: 22878033 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Proteomic identification of quality factors for oocytes in the Pacific oyster Crassostrea gigas.

Journal of proteomics ·Vol. 75 ·No. 18 ·2012-10-22 ·Pages 5554-63

Corporeau C, Vanderplancke G, Boulais M, Suquet M, Quéré C, Boudry P, Huvet A, Madec S

Abstract

We used a 2-DE proteomic approach to identify abundant proteins linked to oocyte quality in the Pacific oyster Crassostrea gigas, an economically important bivalve. Oocyte quality of 14 females was estimated by recording fertilisation and early developmental success until D-larval stage under controlled conditions. Proteins that were differentially expressed between females showing high or low oocyte quality were identified by nano-liquid chromatography tandem mass spectrometry. Twelve up-accumulated spots associated with low quality oocytes revealed 10 distinct proteins, including vitellogenin - breakdown products and metabolic enzymes. Eight up-accumulated spots from high quality oocytes revealed 6 distinct proteins, including chaperone molecules and cell-cycle control proteins. This is the first proteomic study dedicated to oocytes in C. gigas. Our results improve current knowledge about protein factors associated with oocyte quality in this species, and our understanding of the proteomic processes involved in their developmental competence.

MeSH Terms
Animals Crassostrea/genetics Electrophoresis, Gel, Two-Dimensional Female Oocytes/cytology Proteins Proteomics/methods Tandem Mass Spectrometry Up-Regulation
Chemicals
Proteins
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
Corporeau Charlotte
Ifremer, Laboratoire des sciences de l'Environnement Marin (UMR 6539, LEMAR) 29280 Plouzané, France. [email protected]
Vanderplancke Gwenaëlle
Boulais Myrina
Suquet Marc
Quéré Claudie
Boudry Pierre
Huvet Arnaud
Madec Stéphanie
Article Info
Journal
Journal of proteomics
Abbr.
J Proteomics
ISSN
1876-7737
Published
2012-10-22
Epub
2012-00-01
Pages
5554-63
Language
English
Region
Netherlands
NLM ID
101475056
Subset
IM
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