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Dive into the research topics where Rabindar Singh Patiyal is active.

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Featured researches published by Rabindar Singh Patiyal.


Mitochondrial DNA | 2014

Complete mitochondrial genome organization of Schizothorax richardsonii (Gray, 1832)

Chirag Goel; Jyoti Sati; Ashoktaru Barat; Rabindar Singh Patiyal; S. Ali; Prabhati Kumari Sahoo

Abstract The complete mitochondrial genome of Schizothorax richardsonii, an endemic coldwater fish of Himalayas, was determined for the first time. The genome is 16,592 bp in length and consists of 13 protein coding genes, 22 tRNAs, 2 rRNA genes and one putative control region. The gene organization and its order were similar to other vertebrates. The overall base composition was as follows: A: 29.9%, G: 17.7%, C: 26.9%, T: 25.5%, A + T content 55.4% and the G + C content 44.6%. The control region contains a microsatellite; (TA)13 exists between 16,469 and 16,494 bp. This study will provide the rationale for the management and conservation of the snow trout.


Mitochondrial DNA | 2014

Complete mitochondrial genome organization of Tor putitora

Jyoti Sati; Chirag Goel; Rohit Kumar; S. Ali; Rabindar Singh Patiyal; Vijoy Kumar Singh; Prabhati Kumari Sahoo; Ashoktaru Barat

Abstract The complete mitochondrial genome of Tor putitora, an endemic coldwater fish of Himalayas was determined for the first time. The genome is 16,576 bp in length and consists of 13 protein coding genes, 22 tRNAs, 2 rRNA genes and 1 putative control region. The gene organization and its order were similar to other vertebrates. The overall base composition was; A: 31.9%, G: 15.6%, C: 27.5%, T: 25%, A + T content 56.9% and the G + C content 43.1%. The control region was also consisted of a microsatellite locus (TA) 13 between 16, 456 to 16, 481 bp. The present study will provide the rationale for the management and conservation of T. putitora.


Acta Ichthyologica Et Piscatoria | 2013

PATTERN OF MORPHOMETRIC DIFFERENTIATION AMONG THREE POPULATIONS OF SNOWTROUT, SCHIZOTHORAX PLAGIOSTOMUS (ACTINOPTERYGII: CYPRINIFORMES: CYPRINIDAE), FROM KASHMIR HIMALAYA USING A TRUSS NETWORK SYSTEM

Farooq Ahmad Mir; Javaid Iqbal Mir; Rabindar Singh Patiyal; S. Chandra

Background. The fishes of the genus Schizothorax , commonly known as snowtrouts, are a group of species that are difficult to distinguish based on external morphological characters. One of them, Schizothorax plagiostomus Heckel, 1838, is a commercially important freshwater fish with wide distribution along the Himalayan foothills. However, recent observations have indicated drastic declines and change in the stock structure of this species in many areas of its range due to the introduction of exotics, water impoundments (dams), and overfishing. Therefore, this study was intended to verify the variation in stock structure of this species in Kashmir Himalaya by using morphological characters generated by truss network analysis . Materials and methods. A total number of 189 specimens of S. plagiostomus were collected from three differ - ent water bodies of Kashmir Himalaya. A truss network was constructed by interconnecting 12 landmarks to form a total of 30 distance variables extracted from digital images of samples using tpsDig2 and PAST software plat - forms. The transformed truss measurements were subjected to principal component analysis, discriminant func - tion analysis, and univariate analysis of variance for identification of different parameters responsible for popu - lation discrimination among these water bodies . Results. The principal component analysis generated nine components explaining 86.4% of total variance in samples. The step-wise discriminant function analysis retained two variables that significantly discriminated the populations. These two variables showed significant variation in head region, body depth, and caudal peduncle region of fish. Using these variables, 98.4% of the original groups were classified into their correct samples and 93.7% of cross-validated groups omitting one procedure were classified into their correct samples . Conclusion. This study has provided basic information about morphometric variation of S. plagiostomus , which could be indicative of the underlying stock structure of the species. A clear phenotypic divergence among S. pla - giostomus samples revealed the existence of three differentiated groups viz., the Dal Lake population, the Jhelum River, and the Lidder River populations in Kashmir Himalaya. This study should be considered in fisheries man - agement and commercial exploitation of this species and any stock enhancement program .


Journal of Genetics | 2015

Molecular characterization of rainbow trout, Oncorhynchus mykiss (Walbaum, 1792) stocks in India

Ashoktaru Barat; Prabhati Kumari Sahoo; Rohit Kumar; Javaid Iqbal Mir; Shahnawaz Ali; Rabindar Singh Patiyal; Atul Singh

In India, rainbow trout was introduced by British more than 100 years ago (Agarwal 2006) for recreational purposes. The fish is being cultured in both government and private farms of different coldwater states of India, mainly in Jammu and Kashmir, Himachal Pradesh, Sikkim, Arunachal Pradesh and Uttarakhand, and also in Nilgiri hills of south India for breeding and rearing purposes. In recent past, growth and production rate of this fish in various farms has been reduced. Microsatellite markers in combination with recent statistical approaches represent a useful tool for genetic characterization which ultimately supports the management of cultured stocks. These markers have been successfully used to evaluate the wild and farm stocks of rainbow trout in western Australia (Ward et al. 2003); resident and anadromus forms in the Walla Walla river (Narum et al. 2004); domesticated strains of rainbow trout in USA (Silverstein et al. 2004); strains in northern and eastern Europe (Gross et al. 2007) and three groups of different origin in north of Iran (Yousefian et al. 2012). Hence, the present study was carried out to assess the genetic variability in different stocks of rainbow trout in India using microsatellite markers.


Mitochondrial DNA | 2015

Genetic characterization of Golden mahseer (Tor putitora) populations using mitochondrial DNA markers

Jyoti Sati; Rohit Kumar; Prabhati Kumari Sahoo; Rabindar Singh Patiyal; Shahnawaz Ali; Ashoktaru Barat

Abstract Golden Mahseer (Tor putitora) is an economically important fish of India and Southeast Asia. The present study examined the genetic variations between seven geographically isolated populations of T. putitora using Cyt b (Cytochrome b) and ATPase6/8 gene sequences of mitochondrial DNA. Analysis of 133 sequences of Cyt b (1141 bp) and 130 sequences of ATPase6/8 gene (842 bp) revealed 47 and 44 haplotypes, respectively. The estimated haplotype and nucleotide diversity was high in River Jia Bhoreli (Bhalukpong) population (h = 1.00000, π = 0.007121 for Cyt b and h = 0.90441 π = 0.004867 for ATPase6/8). Results of AMOVA indicated that majority of the genetic variations in both genes were due to variation among populations (60.79% for Cyt b and 51.41% for ATPase6/8 gene). The pairwise FST comparison and neighbor-joining tree revealed high genetic divergence of River Jia Bhoreli population from other populations. The understanding of genetic variations of T. putitora populations will play a key role in conservation and management of this endangered fish species.


Mitochondrial DNA | 2016

Morphometric variation and molecular characterization of snow trout species from Kashmir valley, India

Amir Bashir; Balwant Singh Bisht; Javaid Iqbal Mir; Rabindar Singh Patiyal; Rohit Kumar

Abstract There is a significant taxonomic ambiguity among snow trout species due to their morphometric similarities. In view of this, a morphometric and molecular study was conducted on five different species of genus Schizothorax that have been reported from Kashmir valley. Morphometric data analyzed using multivariate statistics (Principal component analysis and cluster analysis) indicated the significant grouping of species to individual clusters. Mitochondrial DNA cytochrome oxidase I (COI) gene analysis revealed 0.2%–4.5% genetic divergence among the five species. This study confirms that utility of cytochrome oxidase I in species delineation along with morphometric data. Phylogenetic tree obtained using Neighbor-Joining method revealed that all the five species represented distinct species group. The Schizothorax genus formed two distinct clades; one containing S. niger, S. curvifrons and S. plagiostomus, while other clade containing S. esocinus and S. labiatus. This phlogeny trend was also supported by cluster analysis of morphometric characters. The phylogenetic analysis with other published COI sequences revealed distinct nature of these five species. The study may aid in the taxonomic identification of snow trout species in India. This may further increase the knowledge of the ichthyologists in planning conservation and management strategies for these important fish species along with their natural habitat.


Proceedings of the National Academy of Sciences, India Section B: Biological Sciences | 2014

Phenotypic Variations Among Three Populations of Chirruh Snowtrout, Schizothorax esocinus (Heckel, 1838) in Kashmir Himalaya with Insights from Truss Network System

Javaid Iqbal Mir; Farooq Ahmad Mir; Rabindar Singh Patiyal


Ichthyological Research | 2013

Pattern of morphological variations in Alghad snowtrout, Schizopyge niger (Heckel 1838) from Kashmir Himalaya using truss network analysis

Javaid Iqbal Mir; Farooq Ahmad Mir; S. Chandra; Rabindar Singh Patiyal


Aquaculture | 2017

Prolonged transport of rainbow trout fingerlings in plastic bags: Optimization of hauling conditions based on survival and water chemistry

Biju Sam Kamalam; Rabindar Singh Patiyal; Manchi Rajesh; Javaid Iqbal Mir; Atul Kumar Singh


Revista De Biologia Tropical | 2015

Phenotypic differentiation of Barilius bendelisis (Cypriniformes: Cyprinidae) in four rivers from Central Indian Himalaya

Javaid Iqbal Mir; Neha Saxena; Rabindar Singh Patiyal; Prabhati Kumari Sahoo

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Javaid Iqbal Mir

Indian Council of Agricultural Research

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Prabhati Kumari Sahoo

Indian Council of Agricultural Research

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Amir Bashir

Hemwati Nandan Bahuguna Garhwal University

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Ashoktaru Barat

Indian Council of Agricultural Research

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Balwant Singh Bisht

Hemwati Nandan Bahuguna Garhwal University

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Jyoti Sati

Indian Council of Agricultural Research

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Neha Saxena

Central Institute of Fisheries Education

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Biju Sam Kamalam

Indian Council of Agricultural Research

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