Random amplified polymorphic DNA (RAPD) analysis has been used to elucidate genetic diversity among and within three populations of Notopterus notopterus (Pallas, 1769) of Madhya Pradesh. Genetic differentiation (GST) among the populations was found to be GST= 0.2380, estimated gene flow between population (Nm=1.6010), intra-population heterozygosity (HS=0.2457±0.0069) and total heterozygosity (HT= 0.3225±0.00133) clearly reflecting high genetic polymorphism. However, population wise, the genetic analyses in Tighra reservoir indicated lower genetic polymorphism (P) as 72.94% as compared to rest of two populations. Nei’s gene diversity (h) was observed as 0.2602±0.1514 in Upper Lake, 0.2464±0.1105 in Lower Lake and 0.2305±0.1705 in Tighra reservoir reflecting much higher gene diversity in Upper Lake population. A phylogenetic relation grouped 16 genotypes of three populations into three clusters which were in agreement with the each population. Current investigation depicted that, as compared to Upper Lake and Lower Lake fish populations, a genetic changes including reduced genetic diversity and significant differentiation have taken place in Tighra reservoir population as shown by allele richness, heterozygosity studies as well as pairwise GST structure. RAPD-PCR markers analysis was able to characterize the genetic divergence between the lentic populations and could be helpful tools for defining better management strategies of N. notopterus. However, further analyses using co-dominant molecular markers like mt-DNA marker is recommended to making find out the exact genetic gene flow diversity among and between the N. notopterus populations.
Garg RK, Batav N and Singh RK. Genetic divergence and gene flow in three populations of Notopterus notopterus (Pallas, 1769), Madhya Pradesh. J App Biol Biotech, 2014; 2 (04): 033-037. DOI: 10.7324/JABB.2014.2406
1. Frankham R, Ballou JD & Briscoe DA, Introduction of Conservation Genetics. Cambridge University Press, New York, 2002.
2. Arif IA, Khan HA. Molecular markers for biodiversity analysis of wildlife animals: a brief review. Anim Biod Conserv, 2009; 32: 9.
3. Veronica A, Brown A, Brooke J, Fordyce A, McCracken GF. Genetic analysis of populations of the threatened bat Pteropus mariannus. Conser Genet, 2011; 12: 933.
4. Artoni RF, Vicari MR, Almeida MC, Moreira-Filho O, Bertollo LAC. Karyotype diversity and fish conservation of southern field from South Brazil. Rev Fish Biol Fish. 2009; 19: 393.
5. Agostinho AA, Pelicice FM, Gomes LC. Dams and the fish fauna of the Neotropical region: impacts and management related to diversity and fisheries. Braz J Biol. 2008; 68: 1119.
6. Yilmaz C, Okumuu O. Fish population Genetics and Applications of Molecular Markers to Fisheries and Aquaculture: I-Basic Principles of Fish Population Genetics. Turk J Fish Aqu Sci, 2002; 2: 145.
7. Mittermeier RA, Mittermeier CG. Mega-diversity; Earth’s Biologically Wealthiest Nation Cemex, mexico City, Mexico McAlister DE, Hamilton A I, Harvey B (Eds) Global freshwater biodiversity; striving for the integrity of freshwater ecosystem. Sea Wind, 1997; 11: 1.
8. CAFF. Conservation Assessment of Freshwater Fish Diversity for Central India held at CIEF, Bhopal on November, 25: 2006.
9. CAMP. Report of the workshop on “Conservation Assessment and Management Plan. Zoos Outreach Organization and National Bureau of Fish Genetic Resources, Lucknow, 1998: 156.
10. Janarthanan S, Vincent S. Practical Biotechnology, Methods and Protocols, University Press India, 2007; 13: 978-81-7371-582-2.
11. Garg RK, Sairkar P, Silawat N, Vijay N, Batav N, Mehrotra NN. Genetic Diversity between Two Populations of Heteropneustes fossilis (Bloch) Using RAPD Profile. Int J Zool Res, 2009; 5: 171.
12. Yeh FC, Boyle TJB, Ye YZ, Xiyan JM, Popegene ver. 1.31. Microsoft Window-based freeware for population genetics analysis. University of Alberta and Center for International Forestry Research, 1999.
13. Nei M. Estimation of average heterozygosity and genetic distance from a small number of individuals. Genet, 1978; 89: 583.
14. Nei M. Analysis of gene diversity in sub-divided populations. Proc Nat Acad USA, 12; 1973: 3321.
15. Bardakci F. Random Amplified Polymorphic DNA (RAPD) Markers, Turk J Biol, 2001; 25: 185.
16. Ertas HB, Seker E. Isolation of Listeria monocytogenes from Fish Intestines and RAPD analysis, Turk J Vet Anim Sci, 2005; 29: 1007.
17. Islam MS, Ahmed ASI, Azam MS, Alam MS. Genetic Analysis of Three River Populations of Catla catla (Hamilton) Using Randomly Amplified Polymorphic DNA Markers. Asian-Aust J Anim Sci, 2005; 18: 453.
18. Zaeem SYE, Ahmed MMM. Genetic differentiation between sex reversal and Normal of Full-Sib Nile Tilapia, Oreochromis niloticus Based on DNA Fingerprinting. Res J Fish Hydrol, 2006; 1: 1.
19. Garg RK, Sairkar P, Silawat N, Vijay N, Mehrotra NN. RAPD analysis for genetic diversity of two populations of Mystus vittatus (Bloch) of Madhya Pradesh, India. Afr J Biotech, 2009; 8: 4032.
20. Ferguson A, Taggart JB, Prodohl PA, McMeel O, Thompson C, Stone C, McGinnity P & Hynes RA. The application of molecular markers to the study and conservation of fish populations with special reference to Salmo. J Fish Biol, 1995; 47: 103.
21. Das R, Mohindra V, Singh RK, Lal KK, Punia P, Masih P, Mishra RM & Lakra WS Intrapopulation genetic diversity in wild Catla catla (Hamilton, 1822) populations. J Appl Ichthyol, 2012: 1.
22. Mandal A, Mohindra V, Singh RK, Punia P, Singh AK & Lal KK. Mitochondiral DNA variation in natural populations of endangered India Feather-Back Fish Chitala chitala, Mol Biol Rep, 2012;39: 1765.
23. Luhariya RK, Lal KK, Singh RK, Mohindra V, Punia P, Chauhan UK, Gupta A, Lakra WS. Genetic divergence in wild population of Labeo rohita (Hamilton, 1822) from nine Indian rivers, analyzed through mt-DNA cytochrome b region. Mol Biol Rep, 2012; 39: 3659.
24. Lakra WS, Goswami M, Gopalakrishnan A. Molecular identification and phylogenetic relationships of seven Indian Sciaenids (Pisces: Perciformes, Sciaenidae) based on 16S r-RNA and cytochrome c oxidase subunit I mitochondrial genes. Mol Biol Rep, 2009; 36: 831.
Year
Month