본문 바로가기
KERD
논문KCI 등재

Genetic characterization and population structure of six brown layer pure lines using microsatellite markers

2

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

Objective: The first stage in both breeding and programs for the conservation of genetic resources are the identification of genetic diversity in the relevant population. The aim of the present study is to identify genetic diversity of six brown layer pure chicken lines (Rhode Island Red [RIRI, RIRII], Barred Rock [BARI, BARII], Columbian Rock [COL], and line 54 [L-54]) with microsatellite markers. Furthermore, the study aims to employ its findings to discuss the possibilities for the conservation and sustainable use of these lines that have been bred as closed populations for a long time. Methods: In the present study, a total number of 180 samples belonging to RIRI (n = 30), RIRII (n = 30), BARI (n = 30), BARII (n = 30), L-54 (n = 30), and COL (n = 30) lines were genotyped using 22 microsatellite loci. Microsatellite markers are extremely useful tools in the identification of genetic diversity since they are distributed throughout the eukaryotic genome in multitudes, demonstrate co-dominant inheritance and they feature a high rate of polymorphism and repeatability. Results: In this study, we found all loci to be polymorphic and identified the average number of alleles per locus to be in the range between 4.41 (BARI) and 5.45 (RIRI); the observed heterozygosity to be in the range between 0.31 (RIRII) and 0.50 (BARII); and FIS (inbreeding coefficient) values in the range between 0.16 (L-54) and 0.46 (RIRII). The FIS values obtained in this context points out to a deviation from Hardy-Weinberg equilibrium due to heterozygote deficiency in six different populations. The Neighbour-Joining tree, Factorial Correspondence Analysis and STRUCTURE clustering analyzes showed that six brown layer lines were separated according to their genetic origins. Conclusion: The results obtained from the study indicate a medium level of genetic diversity, high level inbreeding in chicken lines and high level genetic differentiation between chicken lines.

Abstract

Objective: The first stage in both breeding and programs for the conservation of genetic resources are the identification of genetic diversity in the relevant population. The aim of the present study is to identify genetic diversity of six brown layer pure chicken lines (Rhode Island Red [RIRI, RIRII], Barred Rock [BARI, BARII], Columbian Rock [COL], and line 54 [L-54]) with microsatellite markers. Furthermore, the study aims to employ its findings to discuss the possibilities for the conservation and sustainable use of these lines that have been bred as closed populations for a long time. Methods: In the present study, a total number of 180 samples belonging to RIRI (n = 30), RIRII (n = 30), BARI (n = 30), BARII (n = 30), L-54 (n = 30), and COL (n = 30) lines were genotyped using 22 microsatellite loci. Microsatellite markers are extremely useful tools in the identification of genetic diversity since they are distributed throughout the eukaryotic genome in multitudes, demonstrate co-dominant inheritance and they feature a high rate of polymorphism and repeatability. Results: In this study, we found all loci to be polymorphic and identified the average number of alleles per locus to be in the range between 4.41 (BARI) and 5.45 (RIRI); the observed heterozygosity to be in the range between 0.31 (RIRII) and 0.50 (BARII); and FIS (inbreeding coefficient) values in the range between 0.16 (L-54) and 0.46 (RIRII). The FIS values obtained in this context points out to a deviation from Hardy-Weinberg equilibrium due to heterozygote deficiency in six different populations. The Neighbour-Joining tree, Factorial Correspondence Analysis and STRUCTURE clustering analyzes showed that six brown layer lines were separated according to their genetic origins. Conclusion: The results obtained from the study indicate a medium level of genetic diversity, high level inbreeding in chicken lines and high level genetic differentiation between chicken lines.

참고문헌 (30)

  1. Mahmoudi B, "Genetic diversity among three goat populations assessed by microsatellite DNA markers in Iran", Glob Vet, 4, pp.118~124 (2010)
  2. Chatterjee RN, "Assessment of genetic relatedness of crossbred chicken populations using microsatellite markers", Biochem Genet, 48, pp.727~736 (2010)
  3. Hillel J, "Biodiversity of 52 chicken populations assessed by microsatellite typing of DNA pools", Genet Sel Evol, 35, pp.533~557 (2003)
  4. "Molecular genetic characterization of animal genetic resources" (2011)[URL]
  5. Rajmukar U, "Genetic variation and genetic diversity in chicken populations using microsatellite assay", Indian J Anim Sci, 77, pp.1194~1198 (2007)
  6. Miller S, "A simple salting out procedure for extracting DNA from human nucleated cells", Nucleic Acids Res, 16, pp.1215~ (1988)
  7. Tadano R, "Assessing genetic diversity and population structure for commercial chicken lines based on forty microsatellite analyses", Poult Sci, 86, pp.2301~2308 (2007)
  8. 서동원, "Discrimination of Korean Native Chicken Lines Using Fifteen Selected Microsatellite Markers", Animal Bioscience, 26(3), pp.316~322 (2013), 아세아·태평양축산학회[DOI]
  9. Glaubitz JC, "CONVERT : A user-friendly program to reformat diploid genotypic data for commonly used population genetic software packages", Mol Ecol Notes, 4, pp.309~310 (2004)
  10. Kalinowski ST, "Maximum likelihood estimation of the frequency of null alleles at microsatellite loci", Conserv Genet, 7, pp.991~995 (2006)
  11. Yeh FC, "POPGENE, The user-friendly shareware for population genetic analysis, Molecular Biology and Biotechnology Centre", University of Alberta, ~ (1997)
  12. Liu K, "PowerMarker : an integrated analysis environment for genetic marker analysis", Bioinformatics, 21, pp.2128~2129 (2005)
  13. Goudet J, "FSTAT (Version 1.2), A computer program to calculate F-Statistics", J Hered, 86, pp.485~486 (1995)
  14. Excoffier L, "ARLEQUIN version 3.01: an integrated software package for population genetics data analysis" (2006), Institute of Zoology, University of Bern
  15. Takezaki N, "POPTREE2 : software for constructing population trees from allele frequency data and computing other population statistics with windows-interface", Mol Biol Evol, 4, pp.747~752 (2010)
  16. Belkhir K, "GENETIX 4.05, logiciel sous Windows pour la génétique des populations" (2004), Université de Montpellier II
  17. Pritchard JK, "Inference of population structure using multilocus genotype data", Genetics, 155, pp.945~959 (2000)
  18. Earl DA, "Structure harvester : a website and program for visualizing structure output and implementing the evanno method", Conserv Genet Resour, 4, pp.359~361 (2012)
  19. Evanno G, "Detecting the number of cluster of individuals using the software structure : a simulation study", Mol Ecol, 14, pp.2611~2620 (2005)
  20. Ramasamy RK, "STRUCTURE PLOT : a program for drawing elegant STRUCTURE bar plots in user friendly ınterface", Springerplus, 3, pp.431~ (2014)
  21. Zanetti E, "Variation of genetic diversity over time in local Italian chicken breeds undergoing in situ conservation", Poult Sci, 90, pp.2195~2201 (2011)
  22. Pham MH, "Genetic characterization of Taiwan commercial native chickens ascertained by microsatellite markers", J Poult Sci, 50, pp.290~299 (2013)
  23. 최누리, "Discrimination of the commercial Korean native chicken population using microsatellite markers", 한국축산학회지, 57(2), pp.1~8 (2015), 한국축산학회[DOI]
  24. Tadano R, "Analysis of genetic divergence between closely related lines of chickens", Poult Sci, 9, pp.327~333 (2012)
  25. Tadano R, "Genetic characterization and conservation priorities of chicken lines", Poult Sci, 92, pp.2860~2865 (2013)
  26. Granevitze Z, "Genetic diversity within chicken populations from different continents and management histories", Anim Genet, 38, pp.576~583 (2007)
  27. Muchadeyi FC, "Absence of population structuring in Zimbabwe chicken ecotypes inferred using microsatellite analysis", Anim Genet, 38, pp.332~339 (2007)
  28. Ramadan S, "Evaluation of genetic diversity and conservation priorities for Egyptian chickens", J Anim Sci, 2, pp.83~90 (2012)
  29. Simon DL, "Genetic diversity of European livestock breeds" (1993), Wageningen Pers
  30. Mahammi FZ, "A molecular of patterns of genetic diversity in local chickens from western Algeria in comprasion with commercial lines and wild jungle fowls", J Anim Breed Genet, 133, pp.59~70 (2016)

관련 논문AI추천

Assessment of genetic diversity and phylogenetic relationships of Korean native chicken breeds using microsatellite markers공홍식, 서주희, 이준헌아세아·태평양축산학회 · Animal Bioscience2017 · 제30권 제10호Estimating genetic diversity and population structure of 22 chicken breeds in Asia using microsatellite markers고응규, 노희종, 이준헌, 전다연, Afrin Fahmida, Batsaikhan Solongo, Cho Chang-Yeon, Gorkhali Neena Amatya, Hegay Sergey, Kim Dong-kyo, Kim Kwan-Woo, Kim Seung-Chang, Kongvongxay Siton, Lee Jinwook, Manikku Lakmalie, Susanti Triana, Thao Trinh Thi Thu, Thi Lan Anh Nguyen아세아·태평양축산학회 · Animal Bioscience2020 · 제33권 제12호Discrimination of Korean Native Chicken Lines Using Fifteen Selected Microsatellite Markers서동원, 이준헌, 최누리, B.S. Kang, C. Jo, H.B. Park, H. Sultana, H.T. Lim, K.N. Heo, M. R. Hoque, S.H. Lee아세아·태평양축산학회 · Animal Bioscience2013 · 제26권 제3호Genetic diversity of Saudi native chicken breeds segregating for naked neck and frizzle genes using microsatellite markersIbrahim Al-Homidan, Moataz Fathi, Mohamed El-Zarei, Osama Abou-Emera아세아·태평양축산학회 · Animal Bioscience2018 · 제31권 제12호Population structure analysis of Yeonsan Ogye using microsatellite markers조성현, Dongwon Seo, Jun Heon Lee, Minjun Kim, Prabuddha Manjula, Seung Hwan Lee, Seung-Sook Lee한국축산학회 · 한국축산학회지2020 · 제62권 제6호Monitoring changes in the genetic structure of Brown Tsaiya duck selected for feeding efficiency by microsatellite markersChang Yi-Ying, Chen Chih-Feng, Liu Hsiu-Chou아세아·태평양축산학회 · Animal Bioscience2023 · 제36권 제3호

이 간행물의 다른 논문 (6건)