To evaluate the genetic variability of oysters supplied by the Centro Reproductor de Especies Marinas del Estado de Sonora (Marine Species Hatchery Center of the State of Sonora), allozyme loci of triploid Crassostrea gigas (n = 78) and the F1 generation of a new batch of diploid native oyster Crassostrea corteziensis (n = 78) were analyzed. For the C. gigas sample, 10 enzymatic systems were analyzed, revealing 16 loci of which 12 were polymorphic. For C. corteziensis, 9 enzymatic systems revealed 13 loci, of which 8 were polymorphic. The average expected and observed heterozygosities for C. gigas were 0.350 and 0.309, respectively, with no significant differences between them. These figures are similar to those reported for wild diploid organisms, but lower than those reported for triploids. The average expected and observed heterozygosities for C. corteziensis were 0.294 and 0.065, with significant differences (P = 0.001). The phenotypic frequency analysis of the 12 polymorphic loci of C. gigas demonstrated that only 3 loci (AKP*, EST-2*, and PEP-1*) were in equilibrium according to the Hardy- Weinberg Law, with an average inbreeding of 0.133. For C. corteziensis, the 8 polymorphic loci were found outside of the Hardy-Weinberg Law, reflecting a high inbreeding value of 0.777 because of the large heterozygote deficiency in all loci, suggesting that the source broodstock is genetically eroded. If genetic variability is not considered in the selection of the broodstock, oyster culture in northwest Mexico will become unstable. We recommend a program of selection of diploid lineages of C. gigas with a good genetic variability and a good level of heterozygosis, and for C. corteziensis it is important to choose the wild population with the lowest inbreeding index in order to get a genetically healthy broodstock.
|Translated title of the contribution
|Variabilidad genética de Crassostrea gigas y Crassostrea corteziensis de un laboratorio de producción del noroeste de México
|Number of pages
|Published - 2010
- Genetic variability