Literature DB >> 35124794

Genetic stock identification in Perna viridis (Linnaeus1758) from the Indian Peninsula by using microsatellite markers.

P R Divya1, Linu Joy2, Sunitha Poulose2, P M Elizabeth Jency2, V S Basheer2, A Kathirvelpandian2, Vindhya Mohindra3, Kuldeep Kumar Lal3.   

Abstract

BACKGROUND: Perna viridis (Linnaeus, 1758), the Asian green mussel, is native to the Asia-Pacific region. The species is extensively distributed in the Indian subcontinent and is a candidate species for aquaculture in the Southeast Asian region. Availability of genetic information on wild populations is essential for the effective conservation and management of Perna species. The present study assessed the genetic variation and population structure across the distribution range of this species from the Indian peninsula by using microsatellite markers to determine the genetic structuring among the species.
METHODS: A total of 15 microsatellite loci with M13 labeling were used for the genetic characterization of P. viridis along Indian waters. Genotyped data were analyzed using analytical software to determine the genetic stocks and understand the genetic variability across the populations.
RESULTS: We identified 15 polymorphic markers to understand the genetic stocks and variability across Perna populations. The mean value of the observed heterozygosity (Hobs: 0.741) for all populations was closer to the expected heterozygosity (Hexp: 0.75). The pairwise Fst values between the west and east coasts of India varied significantly, indicating the existence of significant genetic structure between the populations.
CONCLUSIONS: Genetic stock identification using software analysis exhibited two distinct stocks, one along the west coast (Arabian Sea) and another along the east coast (Bay of Bengal). Bottleneck analysis indicated the genetic stability of species in the wild. P. viridis is a commercially vital species in Indian peninsular regions. The present study suggests the adoption of stock-specific relaying programs of the species from Indian waters in future studies.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Asian green mussel; India; Molecular marker; Stock identification

Mesh:

Year:  2022        PMID: 35124794     DOI: 10.1007/s11033-022-07178-7

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  11 in total

1.  Population connectivity and genetic structure of Asian green mussel, Perna viridis along Indian waters assessed using mitochondrial markers.

Authors:  P R Divya; P M Elizabeth Jency; Linu Joy; A Kathirvelpandian; Rajeev Kumar Singh; V S Basheer
Journal:  Mol Biol Rep       Date:  2020-06-10       Impact factor: 2.316

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Journal:  Mol Ecol Resour       Date:  2009-01-31       Impact factor: 7.090

4.  Multiplexing with three-primer PCR for rapid and economical microsatellite validation.

Authors:  Salla Vartia; Patrick C Collins; Thomas F Cross; Richard D Fitzgerald; David T Gauthier; Philip McGinnity; Luca Mirimin; Jens Carlsson
Journal:  Hereditas       Date:  2014-06       Impact factor: 3.271

5.  Characterization of eight novel microsatellite markers in the green-lipped mussel Perna viridis (Mytilidae).

Authors:  Y Y Cao; Z B Li; Q H Li; X J Chen; L Chen; G Dai
Journal:  Genet Mol Res       Date:  2013-02-07

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Authors:  C C Ong; K Yusoff; C K Yap; S G Tan
Journal:  J Genet       Date:  2009-08       Impact factor: 1.166

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Authors:  Rod Peakall; Peter E Smouse
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Authors:  Kathrin Langen; Julia Schwarzer; Harald Kullmann; Theo C M Bakker; Timo Thünken
Journal:  PLoS One       Date:  2011-09-30       Impact factor: 3.240

9.  Combining genotypic and phenotypic variation in a geospatial framework to identify sources of mussels in northern New Zealand.

Authors:  Jonathan P A Gardner; Catarina N S Silva; Craig R Norrie; Brendon J Dunphy
Journal:  Sci Rep       Date:  2021-04-14       Impact factor: 4.379

10.  Microsatellite markers: what they mean and why they are so useful.

Authors:  Maria Lucia Carneiro Vieira; Luciane Santini; Augusto Lima Diniz; Carla de Freitas Munhoz
Journal:  Genet Mol Biol       Date:  2016-08-04       Impact factor: 1.771

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