{"id":3901,"date":"2018-06-26T14:22:14","date_gmt":"2018-06-26T11:22:14","guid":{"rendered":"https:\/\/visnyk.mnau.edu.ua\/?p=3901"},"modified":"2019-02-14T16:27:11","modified_gmt":"2019-02-14T14:27:11","slug":"n97v1r2018kulibaba","status":"publish","type":"post","link":"https:\/\/visnyk.mnau.edu.ua\/en\/n97v1r2018kulibaba\/","title":{"rendered":"R.O. Kulibaba, Y.V. Liashenko. Analysis of genetic differentiation of subpopulation of Ukrainian meat-egg purposed chickens using microsatellite markers"},"content":{"rendered":"R.O. Kulibaba<\/strong><\/p>\n

Y.V. Liashenko<\/strong><\/p>\n

The study of the genetic structure of experimental populations of different species of animals and birds is one of the most actual problems of modern agricultural biology. Microsatellites are referred to one of the most effective tools for studying the genetic variability of populations.<\/em><\/p>\n

The objective of the research is to determine the genetic differentiation of five subpopulations of Ukrainian dual-purpose chickens using microsatellite markers.<\/em><\/p>\n

The research was carried out on five subpopulations of Ukrainian dual-purpose chickens \u2013 G-1, G-2, G-3, G-4 and C. The following microsatellite markers were used for the research: MCW0081, MCW0034, MCW0104, ADL0268, LEI0166, ADL0278, LEI0094, and MCW0123.<\/em><\/p>\n

The avian feathers were used as a source of biological material. DNA from the test samples was isolated using a DNA-sorb-B commercial reagent kit (AmpliSens, Russia). The amplification was carried out using standard methods and appropriate reagents.<\/em><\/p>\n

Polymorphism for each of studied microsatellite loci in the experimental subpopulations of dual-purpose chickens of Ukrainian selection was identified. The total indicators of genetic variability in all experimental groups differed. The total allele pool in all experimental populations for 8 selected microsatellite loci was presented by 38 alleles. The lowest genetic diversity for the number of alleles per locus in all experimental populations was shown for ADL0278 marker (3 alleles per locus), the largest – for MCW0104 (6.4 alleles per locus). According to the analysis of Write’s F-statistics, most of the revealed genetic variability corresponded to the intra-population component (9.2% of the total genetic variability were distributed between subpopulations and 90.8% within subpopulations). It was revealed that G-1 and G-4 subpopulations were the most remote by the values of genetics distances (28.8% of differences), while G-2 and G-3 subpopulations were the closest (13.3% of differences).<\/em><\/p>\n

So, as results of the research, pronounced difference between subpopulations was revealed that corresponds to the average degree of divergence in experimental chicken groups. This reflects their common origin and the intensity of the breeding work being carried out.<\/em><\/p>\n

Key words:<\/strong> population, chickens, microsatellites, polymorphism, allele, genetic structure.<\/em><\/p>\n

References:<\/strong><\/p>\n

    \n
  1. Khlestkina E.K. Molecular markers in genetic studies and breeding \/ E.K. Khlestkina \/\/ Russ. J. Genetics. \u2013 2014. \u2013 Vol. 4 (3). \u2013 P. 236\u2013244.<\/li>\n
  2. Microsatellite markers: what they mean and why they are so useful \/ M.L.C. Vieira, L. Santini, A.L. Diniz [et al.] \/\/ Genetic and molecular biology. \u2013 2016. \u2013 Vol. 39 (3). \u2013 P. 312\u2013328.<\/li>\n
  3. Absence of population substructuring in Zimbabwe chicken ecotypes inferred using microsatellite analysis \/ F. Muchadeyi, H. Eding, C. Wollny [et al.] \/\/ Animal Genetics. \u2013 2007. \u2013 Vol. 38, \u21164. \u2013 R. 332\u2013339.<\/li>\n
  4. Gholizadeh M. Use of microsatellite markers in poultry research \/ M. Gholizadeh, G.R. Mianji \/\/ International Journal of Poultry Science. \u2013 2007. \u2013 Vol. 6 (2). \u2013 P. 145\u2013153.<\/li>\n
  5. Relationship between microsatellite marker alleles on chromosomes 1-5 originating arom the Rhode Island Red and Green-legged Partrigenous breeds and egg production and quality traits in F2 mapping population \/ B. Wardecka, R. Olszewski, K. Jaszczak [et al.] \/\/ J. Appl. Genet. \u2013 2002. \u2013 Vol. 43 (3). \u2013 P. 319\u2013329.<\/li>\n
  6. Evolution of the polymorphism at molecular markers in QTL and non-QTL regions in selected chicken lines \/ V. Loywyck, B. Bedhom, M.H. Pinard-van der Laan [et al.] \/\/ Genet. Sel. Evol. \u2013 2008. \u2013 Vol. 40. \u2013 P. 639\u2013661.<\/li>\n
  7. Microsatellite Markers Associated with Resistance to Mareks Disease in Commercial Layer Chickens \/ J.P. McElroy, J.C. Dekkers, J.E. Fulton [et al.] \/\/ Poultry Science. \u2013 2005. \u2013 Vol. 84. \u2013 P. 1678\u20131688.<\/li>\n
  8. Bumstead N. Genomic mapping of resistance to Mareks disease \/ N. Bumstead \/\/ Avian Pathology. \u2013 1998. \u2013 Vol. 27. \u2013 P. S78\u2013S81.<\/li>\n
  9. Romanov M.N. Analysis of genetic relationships between various populations of domestic and jungle fowl using microsatellite markers \/ M.N. Romanov, S. Weigend \/\/ Poultry science. \u2013 2001. \u2013 Vol. 80. \u2013 P. 1057\u20131063.<\/li>\n
  10. Henotypuvannia kurei krosu \u201cLoman bilyi\u201d \/ A.V. Shelov, V.H. Spyrydonov, S.D. Melnychuk [ta in.] \/\/ Biolohiia tvaryn: naukovo-teoretychnyi zhurnal. \u2013 2009. \u2013 Tom. 11, \u2116 1. \u2013 S. 276\u2013280.<\/li>\n
  11. Vykorystannia mikrosatelitnykh markeriv DNK dlia kontroliu pokhodzhennia ta odnoridnosti populiatsii silskohospodarskoi ptytsi \/ A.V. Shelov, N.P. Ponomarenko, V.P. Borodai [y dr.] \/\/ Suchasne ptakhivnytstvo. \u2013 2013. \u2013 \u2116 2 (123). \u2013 S. 16\u201319.<\/li>\n
  12. Monitorynh imunohenetychnoi struktury kurei riznykh porid \/ O.P. Podstrieshnyi, V.P. Khvostyk, I.O. Podstrieshna [ta in.] \/\/ Ptakhivnytstvo: mizhvid. temat. nauk. zb. \u2013 2011. \u2013 Vyp. 67. \u2013 S. 65\u201373.<\/li>\n
  13. Henetychna struktura miaso-yaiechnykh kurei za polimorfnymy bilkovymy lokusamy \/ O.P. Podstrieshnyi, S.V. Ruda, V.V. Bohatyr [ta in.] \/\/ Ptakhivnytstvo: mizhvid. temat. nauk. zb. \u2013 2004. \u2013 Vyp. 54. \u2013 S. 73\u201379.<\/li>\n
  14. Katerynych O.A. Borkovskye miaso-yaychnyie kuryi \u2013 ptytsa dlia fermerskykh y pryusadebnyikh khoziaistv \/ O.A. Katerynych, Yu.V. Bondarenko, V.V. Bohatyir \/\/ Ptakhivnytstvo: mizhvid. temat. nauk. zb. \u2013 2003. \u2013 Vyp. 53. \u2013 S. 70\u201375.<\/li>\n
  15. Hospodarsko korysni oznaky kurei vitchyznianoho henofondu \/ V.P.Khvostyk, O.P. Zakharchenko, Yu.S. Liutyi [ta in.] \/\/ Ptakhivnytstvo. Mizhvidomchyi naukovyi tematychnyi zbirnyk. \u2013 2013. \u2013 \u2116 70. \u2013 S. 30\u201334.<\/li>\n
  16. FAO, 2011. Molecular genetic characterization of animal genetic resources. Food and Agriculture Organization of the United Nations Publ., Rome, Italy.<\/li>\n
  17. Merkureva E. K. Henetycheskye osnovyi selektsyy v skotovodstve \/\/ M.: Kolos, 1977. \u2013 240 s.<\/li>\n
  18. Nei M. Estimation of fixation indices and gene diversities \/ M. Nei, R.K. Chesser \/\/ Ann. Hum. Genet. \u2013 1983. \u2013 Vol. 47. \u2013 P. 253\u2013259.<\/li>\n
  19. Shete S. On Estimating the Heterozygosity and Polymorphism Information Content Value \/ S. Shete, H. Tiwari, R.C. Elston \/\/ Theoretical Population Biology. \u2013 2000. \u2013 Vol. 57. \u2013 P. 265\u2013271.<\/li>\n
  20. Kuznetsov V.M. F-statystyky raita: otsenka y ynterpretatsyia \/ V.M. Kuznetsov \/\/ Nauchno-teoretycheskyi zhurnal \u00abProblemyi byolohyy produktyvnyikh zhyvotnyikh\u00bb. \u2013 2014. \u2013 \u21164. \u2013 C. 80\u2013104.<\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"

    R.O. Kulibaba Y.V. Liashenko The study of the genetic structure of experimental populations of different species of animals and birds is one of the most actual problems of modern agricultural biology. Microsatellites are referred to one of the most effective tools for studying the genetic variability of populations. The objective of the research is to […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[861],"tags":[873,874],"aioseo_notices":[],"views":363,"_links":{"self":[{"href":"https:\/\/visnyk.mnau.edu.ua\/en\/wp-json\/wp\/v2\/posts\/3901"}],"collection":[{"href":"https:\/\/visnyk.mnau.edu.ua\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/visnyk.mnau.edu.ua\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/visnyk.mnau.edu.ua\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/visnyk.mnau.edu.ua\/en\/wp-json\/wp\/v2\/comments?post=3901"}],"version-history":[{"count":0,"href":"https:\/\/visnyk.mnau.edu.ua\/en\/wp-json\/wp\/v2\/posts\/3901\/revisions"}],"wp:attachment":[{"href":"https:\/\/visnyk.mnau.edu.ua\/en\/wp-json\/wp\/v2\/media?parent=3901"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/visnyk.mnau.edu.ua\/en\/wp-json\/wp\/v2\/categories?post=3901"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/visnyk.mnau.edu.ua\/en\/wp-json\/wp\/v2\/tags?post=3901"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}