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    Not AvailableAssociation of type I single nucleotide polymorphic (SNP) markers with quantitative traits can provide an effective method for detecting genes and functions that are responsible for performance variation in domesticated species. In order to discover novel polymorphisms in candidate genes that could be associated with growth, fragments (175 to 668 bp) from 11 housekeeping, regulatory, and immune response genes of Macrobrachium rosenbergii previously reported to contain 83 SNPs were amplified from genomic DNA of 23 growth selected (cumulative genetic gain of 18%) and 23 unselected individuals and sequenced by Sanger’s method. A total of 45 SNPs were identified from eight genes, of which 20 were novel and 18 were found to be growth associated with allele frequencies > 0.65 in the selected group. Eleven of these were located in exonic regions of which 3 present in crustacean lipocalin (LIPC) and heat shock protein 21 (HSP21) were nonsynonymous. In silico prediction indicates that 2 of the non-synonymous alleles may result in higher stability of the proteins. Of the 5 synonymous growth-associated SNPs, 3 present in phosphoenol pyruvate carboxykinase (PEPCK), cytochrome oxidase 1 (COX1), and HSP70 were a switch to the preferred codon. Seven SNPs were located in the 3′UTRs of lectin 3 and 4 (LEC3, LEC4) and anti-lipopolysaccharide factor 1 (ALF1). Only one altered allele was observed at every locus. No SNPs were found in NaK-ATPase, mitochondrial manganese superoxide dismutase, and tachylectin genes. This is the first such marker association study being reported for M. rosenbergii from India and will be of use in selecting future generations.Not Availabl

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    Not AvailableThe giant river catfish Sperata seenghala has huge demand in South Asian countries due to its low number of intramuscular bones and nutritive value. However, the culture practises for this fish have not been standardized and the current demand for this fish is being met by capture fisheries only. Unregulated and indiscriminate fishing would lead overexploitation of fish stocks subsequently stock depletion. Genetic diversity between populations would give insight about population structure and demography. In the present study, S. seenghala stocks from three rivers, namely Ganga, Brahmaputra and Mahanadi were characterized using cytochrome b gene and D-loop region. Moderate to high haplotype diversity and low nucleotide diversity values were observed in all populations. Analysis of molecular variance and pairwise FST values showed significant genetic differentiation among populations. Patterns of diversity, haplotype networks and mismatch distribution strongly suggest a historical influence on the genetic structure of S. seenghala populations. S. seenghala stocks from these three rivers are genetically distinct units and management measures should be formulated separately for each population.Not Availabl

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    Not AvailableIndian has a rich aquatic biodiversity spreading across different ecosystems. Total 2358 endemic fish species have been reported from India comprising marine (1368), brackish water (113) and freshwater fishes (877). Marine fish identification is seldom difficult because of their high diversity and profound changes in appearance during their development stages. DNA bar coding technique has been successfully used to discriminate all animal taxa. In this study, DNA barcodes were generated for 32 species representing 13 families of the order perciformes. The average genetic divergence values for within species, genus and family were 0.42, 13.91 and 18.05%, respectively. The genetic divergence values increased several folds (15-20 times) from lower to higher taxa. barcode gap analysis showed the absence of overlapping between intra and inter specific divergence values. Intraspecific variation has increased several folds (15-20 times) after including conspecific sequences from different geographical locations. Presence of allopatric lineages / cryptic species was observed in several fishes that have Indo-pacific region distribution. The neighbour joining (NJ) tree constructed based on mitochondrial cytochrome oxidase submit 1 Kimura two parameter (COL K2P) values showed distinct clusters shared by congeneric species. Around 100 nucleotide diagnostic character exclusive to Perciformes fish species were also identified.Not Availabl

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