title: Integrating genetic and parasitological approaches in the frame of multidisciplinary fish stock analysis.
abstract: To assess fish stocks boundaries and state, the tools of population genetics have been widely used, contributing to the evaluation of relevant parameters such as the identification of stock boundaries, the assessment of gene flow and the estimation of effective population size. Also, increasing evidences show that the monitoring of the genetic diversity level is a reliable method to check the status of fish stocks. However, genetics cannot answer all the questions. For example, in high gene flow species the genetic approach could have not enough resolution to identify stock limits, while the use of parasites as biological tags could provide insights into stock structure. Even better, the so-called holistic approach, applying simultaneously a wide range of complementary techniques, is the only one considered able to provide a reliable and complete picture of fish stocks and to address a sustainable exploitation of marine resources. The work will present some examples from multidisciplinary studies concerning commercially relevant species with different biological features: the demersal European hake (Merluccius merluccius), the small pelagic horse mackerel (Trachurus trachurus) and the large pelagic swordfish (Xiphias gladius). In all these case studies merging genetic, parasitological and environmental data helped to reveal the real patterns of stocks structure.
authors.affiliation: Department of Ecology and Sustainable Economic Development, Tuscia University, Via San Giovanni Decollato, 1, 01100 Viterbo, Italy. cimmaruta@unitus.it
authors.forename: R
authors.initials: R
authors.lastname: Cimmaruta
authors.forename: S
authors.initials: S
authors.lastname: Mattiucci
authors.forename: G
authors.initials: G
authors.lastname: Nascetti
mesh_terms: D025041:Animal Migration; D000818:Animals; D017756:Aquaculture / Q000379:methods*; D001267:Atlantic Ocean; D005398:Fisheries / Q000706:statistics & numerical data*; D005399:Fishes / Q000145:classification / Q000235:genetics / Q000469:parasitology; D048388:Gadiformes / Q000235:genetics / Q000502:physiology; D014644:Genetic Variation; D005828:Genetics, Population; D033183:Interdisciplinary Communication; D008522:Mediterranean Sea; D010473:Perciformes / Q000145:classification / Q000235:genetics / Q000469:parasitology / Q000502:physiology; D010641:Phenotype; D011156:Population Density; D013045:Species Specificity