Literature DB >> 33044745

Genetic and morphological assessment of a vulnerable large catfish, Silonia silondia (Hamilton, 1822), in natural populations from India.

Sangeeta Mandal1, Achal Singh1, Priyanka Sah1, Rajeev K Singh1, Raj Kumar1, Kuldeep K Lal1, Vindhya Mohindra1.   

Abstract

Silonia silondia is a commercially important fish distributed in Asian countries, which is under threat due to overexploitation. This study focuses on the morphological analysis and genetic variation of S. silondia individuals, through truss network and sequencing of two mitochondrial regions, respectively, from six wild populations of the Ganga and Mahanadi river systems in India. A total of 38 haplotypes was observed by analysing combined mitochondrial genes (cytochrome b + ATPase 6/8) in 247 individuals of S. silondia collected from six populations. Average haplotype and nucleotide diversities were 0.8508 and 0.00231, respectively. Genetic structure analysis showed the predominant cause of genetic variation to be within populations. The two clades were observed among the haplotypes and time of divergence from their most probable ancestor was estimated to be around 0.3949 mya. Analysis of combined mitochondrial genes in six populations of S. silondia resulted into three management units or genetic stocks. The truss network analysis was carried out by interconnecting 12 landmarks from digital images of specimens to identify phenotypic stocks. Sixty-five truss morphometric variables were analysed for geometric shape variation which revealed morphological divergence in River Son specimens. The present study presents molecular markers and genetic diversity data which can be critical input for conservation and management of differentiated populations and future monitoring of the genetic bottleneck. The morphological shape analysis clearly shows that variation in the insertion of adipose fin is an important parameter influencing the morphological discrimination.
© 2020 Fisheries Society of the British Isles.

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Keywords:  Silonia silondia; management; molecular markers; population structure; truss network analysis; variation

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Year:  2020        PMID: 33044745     DOI: 10.1111/jfb.14587

Source DB:  PubMed          Journal:  J Fish Biol        ISSN: 0022-1112            Impact factor:   2.051


  1 in total

1.  Phenotypic variation of Chitala chitala (Hamilton, 1822) from Indian rivers using truss network and geometric morphometrics.

Authors:  Rejani Chandran; Achal Singh; Rajeev K Singh; Sangeeta Mandal; Kantharajan Ganesan; Priyanka Sah; Pradipta Paul; Abhinav Pathak; Nimisha Dutta; Ramashankar Sah; Kuldeep K Lal; Vindhya Mohindra
Journal:  PeerJ       Date:  2022-04-18       Impact factor: 3.061

  1 in total

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