An assessment of spatio-temporal genetic variation in the South African abalone (Haliotis midae), using SNPs: implications for conservation management

• Published in: Conservation genetics 2017-02, Vol.18 (1), p.17-31
• Main Authors: Rhode, Clint, der Merwe, Aletta E. Bester-van, Roodt-Wilding, Rouvay
• Format: Article
• Language: English
• Subjects: Animal Genetics and Genomics; Biodiversity; Biomedical and Life Sciences; Conservation biology; Conservation Biology/Ecology; Ecology; Economic importance; Evolutionary Biology; Fisheries management; Gastropoda; Genetic diversity; Genetic structure; Haliotis; Haliotis midae; Heterogeneity; Life Sciences; Marine; Mollusks; Natural populations; Plant Genetics and Genomics; Population differentiation; Population genetics; Population number; Research Article; Risk assessment
• ISSN: 1566-0621; 1572-9737
• DOI: 10.1007/s10592-016-0879-5

The South African abalone ( Haliotis midae ) is a gastropod mollusc of economic importance. In recent years natural populations have come under considerable pressure due to overharvesting and ecological shifts. The spatial genetic structure of H. midae has been determined; however there has not been a temporal assessment of abalone population dynamics around the South African coast. Using a population genomics approach this study aimed to assess fluctuations in genetic diversity among wild and cultured South African abalone populations through time and space. Various estimates of genetic diversity and population differentiation were calculated using EST-derived SNP markers. All populations had comparable levels of genetic diversity and the long-term effective population size appears to be sufficiently large for the wild populations, despite evidence of recent bottlenecks. Population differentiation was for the most part geographically correlated, with spatial genetic structure maintained across temporal samples. Significant genetic differentiation was, however, detected among temporal samples taken from the same locality. There was evidence for comparatively small short-term effective population sizes that could explain large changes in allele frequencies due to stochastic effects. Temporal heterogeneity could also be explained by changes in selection pressures over time. H. midae populations could, therefore, be more dynamic than previously estimated and this could have implications for effective conservation and fisheries management.