Application of allozyme markers for screening of turbot populations along Western Black Sea coast
Journal Title: ZooNotes - Year 2015, Vol 79, Issue 0
Abstract
: Data for electrophoretic pattern of 26 loci, resolved for the 8 protein systems (7- enzyme and 1-non-enzyme) assayed were used to investigate population structure of turbot along the Bulgarian and Romanian Black Sea coasts using genetic diversity measures. Seventeen loci were polymorphic in all populations and a total of 34 alleles were identified. Four types of tissue: muscle, retina, plasma and haemoglobin were analyzed. The percentage of polymorphic loci was high (65.38%) within populations. A low level of genetic differentiation among populations was detected, based on the Shannon’s information index (0.446-0.448) and the coefficient of genetic differentiation between populations (FST =0.014). The overall mean of within-population inbreeding estimate (FIS) was (-0.209) and demonstrated low level of inbreeding. The genetic distance (DNei) between the populations was low and vary between 0.003 and 0.014. Genetic distances among turbot populations were positively correlated with geographic distances (r = 0.474), but the association was not significant according to the Mantel test (p=0.651) and showed a lack of correlation between genetic distance and the geographic location of populations. Results identified one genetic stock with sufficient gene flow between all the three sites to prevent genetic differentiation from occurring. Only 1.4% of the genetic variation was observed among populations. Results revealed that adopting a single stock model and regional shared management could probably be appropriate for sustainable long-term use of turbot along western Black Sea coast. Determination of the contemporary state of the population distribution will be the prerequisite for determination of adequate measures for exploitation and protection of the existing turbot populations along western Black Sea coast.
Authors and Affiliations
VENELIN NIKOLOV, PETYA IVANOVA, NINA DZHEMBEKOVA, MARINA PANAYOTOVA, VIOLIN RAYKOV, IVAN DOBROVOLOV
Keywords
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