| 
              
              
              Open Access  
Copyright: The authors. This article is an open access 
article licensed under the terms of the Creative Commons Attribution License 
 
 
(http://creativecommons.org/licenses/by/2.0) which permits unrestricted use, 
distribution and reproduction in any medium, provided the work is properly 
cited. 
 
              
              
              Research 
              
              
(Published online: 
              12-08-2015) 
              
              5.  
              
              Microsatellite based genetic diversity study in indigenous chicken 
              ecotypes of Karnataka 
              - 
              B. H. 
              Rudresh, H. N. N. Murthy, M. R. Jayashankar, C. S. Nagaraj, A. M. 
              Kotresh and S. M. Byregowda 
              
              Veterinary World, 8(8): 970-976   
              
   
                
                
doi: 
              10.14202/vetworld.2015.970-976   
              B. H. Rudresh: 
              
              Department of Animal Genetics and Breeding, Veterinary College, 
              Karnataka Veterinary, Animal and Fisheries Sciences University, 
              Shimoga, Karnataka, India; rudreshbh1906@yahoo.co.in 
              H. N. N. Murthy: 
              
              Department of Livestock Production and Management, Veterinary 
              College, Karnataka Veterinary, Animal and Fisheries Sciences 
              University, Bangalore, Karnataka, India; 
              
              hnnm2007@gmail.com 
              M. R. Jayashankar: 
              
              Department of Animal Genetics and Breeding, Veterinary College, 
              Karnataka Veterinary, Animal and Fisheries sciences University, 
              Bangalore, Karnataka, India; 
              
              mrjshankar@yahoo.com 
              C. S. Nagaraj: 
              All 
              India Coordinated Research Project on Poultry Meat, Karnataka 
              Veterinary, Animal and Fisheries Sciences University, Veterinary 
              College, Bangalore, Karnataka, India; 
              
              drcsnagaraj@gmail.com 
              A. M. Kotresh: 
              
              Department of Veterinary Physiology and Biochemistry, Veterinary 
              College, Karnataka Veterinary, Animal and Fisheries sciences 
              University, Shimoga, Karnataka, India; 
              
              amkotresh@gmail.com 
              S. M. Byregowda: Institute of Animal 
              Health & Veterinary Biologicals, Bangalore, Karnataka Veterinary, 
              Animal and Fisheries Sciences University, Karnataka, India; 
              
              byregowda@yahoo.com   Received: 
              12-02-2015, Revised: 30-06-2015, Accepted: 08-07-2015, Published 
              online: 12-08-2015    
              
              
              Corresponding author:B. H. 
              Rudresh, e-mail: rudreshbh1906@yahoo.co.in 
 
              Citation:Rudresh BH, Murthy HNN, Jayashankar MR, Nagaraj CS, Kotresh AM, 
              Byregowda SM (2015) Microsatellite based genetic diversity study 
              in indigenous chicken ecotypes of Karnataka, Veterinary World 8(8): 
              970-976. 
 
              Abstract 
 
              Aim: The current study was 
              the first of its kind taken upon indigenous ecotypes of the 
              Karnataka in order to unravel the diversity details at 20 chicken 
              microsatellite regions.  
              Materials and Methods: 210 indigenous chicken belonging to six 
              districts of Bangalore and Mysore division formed the target 
              sample for the present study. The genomic deoxyribonucleic acid 
              was isolated by phenol chloroform isoamyl alcohol method. A panel 
              of 20 microsatellite regions, including 14 recommended by FAO and 
              six identified from published scientific literature became the 
              targeted chicken genomic region. 27-33 samples were successfully 
              genotyped in each of the six ecotypes through simplex or multiplex 
              polymerase chain reactions, polyacrylamide gel electrophoresis and 
              silver staining for the selected microsatellite panel.  
              Results: The chickens of Ramanagara and Chamrajnagara were 
              most distant with a Nei’s genetic distance value of 0.22. The 
              chickens of Bangalore rural and Mysore were least distant with a 
              value of 0.056. The Ramanagara and Chamrajnagara pair had Nei’s 
              genetic identity value of 0.802, which is least among all pairs of 
              ecotypes. There were five main nodes from which the six ecotypes 
              evolved on the basis 20 microsatellite markers used in this study. 
              This study indicates that the four ecotypes Ramnagara, Bangalore 
              Rural, Chickaballapura and Mysore are genetically identical due to 
              their common ancestral evolution while, Mandya and Chamrajnagara 
              ecotypes formed a relatively different cluster due to a separate 
              common ancestral chicken population and less number of generations 
              since drifting from bifurcation node.  
              Conclusion: Twenty microsatellite markers based genetic 
              diversity study on six indigenous ecotypes indicated lower genetic 
              distances as well as lower FST values compared to the 
              distinguished breeds reported. There were two main clusters, which 
              differentiated into six ecotypes. They may differentiate into more 
              distinct varieties if bred in isolation for a longer number of 
              generations. Keywords: animal genetic resources, ecotypes, 
              microsatellites, polyacrylamide gel.
 
 
              References 
 
                
                  | 1. Groeneveld, L.F., Lenstra, J.A., Eding, H., Toro, M.A., 
                  Scherf, B., Pilling, D., Negrini, R., Finlay, E.K., Jianlin, 
                  H., Groeneveld, E., Weigend, S. and The Globaldiv Consortium. 
                  (2010) Genetic diversity in livestock breeds – A review. Anim. 
                  Genet., 41 Suppl 1: 6-31. http://dx.doi.org/10.1111/j.1365-2052.2010.02038.x
 PMid:20500753
 |  
                  |  |  
                  | 2. Khosravinia, H., Narasimha Murthy, H.N., Therthaparasad, D. 
                  and Pirany, N. (2007) Optimizing factors influencing DNA 
                  extraction from fresh whole avian blood. Afr. J. Biotech., 
                  6(4): 481-486. |  
                  |  |  
                  | 3. Chang, C.S., Chen, C.F., Berthouly Salazar, C., Chazara, 
                  O., Lee, Y.P., Chang, C.M., Chang, K.H., Bedhom, B. and 
                  Tixier-Boichard, M. (2011) A global analysis of molecular 
                  marker and phenotypic traits in local chicken breeds in 
                  Taiwan. Anim. Genet., 43: 172-182. http://dx.doi.org/10.1111/j.1365-2052.2011.02226.x
 PMid:22404353
 |  
                  |  |  
                  | 4. Sangwon, S., Sharma, A., Lee, S., Cho, C.Y., Kim, J.H., 
                  Choi, S.B., Kim, H., Seong, H.H., Yeon, S.H., Kim, D.H. and 
                  Ko, Y.G. (2014) Genetic diversity and relationships of Korean 
                  chicken breeds based on 30 microsatellite markers. Asian Aust. 
                  J. Anim. Sci., 27(10): 1399-1405. http://dx.doi.org/10.5713/ajas.2014.14016
 PMid:25178290 PMCid:PMC4150171
 |  
                  |  |  
                  | 5. Choi, N.R., Hoque, R., Seo, D.W., Sultana, H., Park, H.B., 
                  Lim, H.T., Heo, K.N., Kang, B.S., Jo, C. and Lee, J.H. (2012) 
                  ISAG recommennded microsatellite marker analysis among five 
                  korean native chicken lines. J. Anim. Sci. Technol., 54(6): 
                  401-409. http://dx.doi.org/10.5187/JAST.2012.54.6.401
 |  
                  |  |  
                  | 6. Eltanany, M., Philipp, U., Weigend, S. and Distl, O. (2011) 
                  Genetic diversity of ten Egyptian chicken strains using 29 
                  microsatellite markers. Anim. Genet., 42: 666-669. http://dx.doi.org/10.1111/j.1365-2052.2011.02185.x
 PMid:22035011
 |  
                  |  |  
                  | 7. Halima, B., Jean-Marie, J., Jean-Pierre, B. and Guy, M. 
                  (2006) Optimization of a reliable, fast, cheap and sensitive 
                  silver staining method to detect SSR markers in polyacrylamide 
                  gels. Biotechnol. Agron. Soc. Environ., 10(2): 77-81. |  
                  |  |  
                  | 8. Barton, N.H. and Hewitt, G.M. (1985) Analysis of hybrid 
                  zones. Ann. Rev. Ecol. Syst., 16: 113-148. http://dx.doi.org/10.1146/annurev.es.16.110185.000553
 |  
                  |  |  
                  | 9. Nei, M. (1978) Estimation of average heterozygosity and 
                  genetic distance from a small number of individuals. Genetics, 
                  89: 583-590. PMid:17248844 PMCid:PMC1213855
 |  
                  |  |  
                  | 10. Nei, M. (1987) Molecular Evolutionary Genetics. Columbia 
                  Press, New York. |  
                  |  |  
                  | 11. Pirany, N., Romanov, M.N., Ganpule, S.P., Devegowda, G. 
                  and Prasad, D.T. (2007) Microsatellite analysis of genetic 
                  diversity in Indian chicken populations. J. Poult. Sci., 44: 
                  19-28. http://dx.doi.org/10.2141/jpsa.44.19
 |  
                  |  |  
                  | 12. Balloux, F. and Lugon-Moulin, N. (2002) The estimation of 
                  population differentiation with microsatellite markers. Mol. 
                  Ecol., 11: 155-165. http://dx.doi.org/10.1046/j.0962-1083.2001.01436.x
 PMid:11856418
 |  
                  |  |  
                  | 13. Chatterjee, R.N., Niranjan, M., Sharma, R.P., Dange, M. 
                  and Bhattacharya, T.K. (2010) Estimation of genetic 
                  heterogeneity of chicken germplasm being used for development 
                  of rural varieties utilizing DNA markers. J. Genet., 89: 
                  e33-e37. http://dx.doi.org/10.1007/s12041-011-0006-9
 |  
                  |  |  
                  | 14. FAO. (2011) Molecular genetic characterization of animal 
                  genetic resources. Animal Production and Health Guidelines. 
                  No. 9. 14. FAO, Rome. |  
                  |  |  
                  | 15. Hartl, D.L. and Clark, A.G. (1997) Principles of 
                  Population Genetics. 3rd ed. Sinauer Associates Inc., 
                  Sunderland, MA. p275-284. |  |