Genetic identifiability of selected populations of Indian mackerel, Rastrelliger kanagurta (Actinopterygii: Perciformes: Scombridae)—CELFISH Project—Part 1
Genetic traceability of seafood as well as population identification using molecular methods provide useful information about the fish origin and are important for protection of overfished populations, as well as for monitoring illegal, unreported, and unregulated (IUU) fisheries. The presently repo...
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Published in | Acta ichthyologica et piscatoria Vol. 44; no. 2; pp. 145 - 152 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Szczecin
West Pomeranian University of Technology
01.01.2014
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Subjects | |
Online Access | Get full text |
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Summary: | Genetic traceability of seafood as well as population identification using molecular methods provide useful information about the fish origin and are important for protection of overfished populations, as well as for monitoring illegal, unreported, and unregulated (IUU) fisheries. The presently reported study focused on Indian mackerel, Rastrelliger kanagurta, especially important for many tropical countries, such as India, Philippines, and Thailand. Samples consisting of fin fragments of Indian mackerel were obtained from local markets in Thailand (MTH), Vietnam (SVN), Cambodia (SKH), and Madagascar (SMG) within 2012-2013. Two genes were analysed: nuclear rhodopsin gene (RH1) and mitochondrial D-loop (D-loop) region through RFLP analysis simulation and sequencing. Additionally, the samples from Cambodia and Madagascar were analysed with eight microsatellite loci (SSR). The data processing was aided by GenAlEx 6.5 and GeneClass2 software.The findings may also be used for species-specific conservation measures hopefully undertaken by fisheries authorities of the countries where we took our samples. Results on other fish species, prepared in the frames of the same project, will be presented in other papers that will follow soon. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0137-1592 1734-1515 |
DOI: | 10.3750/AIP2014.44.2.08 |