Document Detail


High polymorphism in big defensin gene expression reveals presence-absence gene variability (PAV) in the oyster Crassostrea gigas.
MedLine Citation:
PMID:  25482648     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
We report here the first evidence in an invertebrate, the oyster Crassostrea gigas, of a phenomenon of Presence-Absence Variation (PAV) affecting immune-related genes. We previously evidenced an extraordinary interindividual variability in the basal mRNA abundances of oyster immune genes including those coding for a family of antimicrobial peptides, the big defensins (Cg-BigDef). Cg-BigDef is a diverse family composed of three members: Cg-BigDef1 to -3. Here, we show that besides a high polymorphism in Cg-BigDef mRNA expression, not all individual oysters express simultaneously the three Cg-BigDefs. Moreover, in numerous individuals, no expression of Cg-BigDefs could be detected. Further investigation at the genomic level revealed that in individuals in which the transcription of one or all Cg-BigDefs was absent the corresponding Cg-bigdef gene was missing. In our experiments, no correlation was found between Cg-bigdef PAV and oyster capacity to survive Vibrio infections. The discovery of P-A immune genes in oysters leads to reconsider the role that plays the immune system in the individual adaptation to survive environmental, biotic and abiotic stresses.
Authors:
Rafael D Rosa; Pascal Alonso; Adrien Santini; Agnès Vergnes; Evelyne Bachère
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-12-4
Journal Detail:
Title:  Developmental and comparative immunology     Volume:  -     ISSN:  1879-0089     ISO Abbreviation:  Dev. Comp. Immunol.     Publication Date:  2014 Dec 
Date Detail:
Created Date:  2014-12-8     Completed Date:  -     Revised Date:  2014-12-9    
Medline Journal Info:
Nlm Unique ID:  7708205     Medline TA:  Dev Comp Immunol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2014. Published by Elsevier Ltd.
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