BibTex RIS Kaynak Göster

QTL Tespiti İçin Hayvanlarda Kullanılan Populasyonlar Ve İstatistiksel Metodlar

Yıl 2015, Cilt: 4 Sayı: 2, 270 - 291, 01.04.2015

Öz

Canlılarda kantitatif karakterler kesikli olmayıp süreklilik gösteren, çok sayıda genin toplamalı etkileri tarafından kontrol edilen karakterlerdir. Kantitatif karakterleri kodlayan genlerin, kromozom üzerinde bulunduğu bölgelere ise kantitatif karakter lokusları (QTL) adı verilmektedir. Kantitatif karakterler hayvanlarda genellikle verim ile ilgili karakterler olduğundan dolayı, seleksiyonda kullanmak üzere, araştırmacılar için QTL keşfi ilgi odağı olmuştur. Dünya’da yaygın bir şekilde araştırılan QTL’ler ne yazık ki Türkiye’de çok fazla uygulama ve çalışma alanı bulamamıştır. Bunun nedeni büyükbaş ve küçükbaş hayvanlarda sistemli kayıtların ülke çapında tutulmayışı ve kanatlılar için ise fazla zaman, emek ve maliyet gerektiren bir konu olmasındandır. Bu derlemede QTL tespiti çalışmalarının nasıl planlandığı, uygulandığı, dikkat edilmesi gereken konular, en çok karşılaşılan sorunlar, kullanılan popülasyon yapıları, istatistiksel veri analiz yöntemleri ve kullanılan bilgisayar yazılımları tarihi süreci içinde anlatılmaya çalışılmıştır.

Kaynakça

  • 1. Georges, M. Mapping, Fine Mapping, And Molecular Dissection Of Quantitative Trait Loci In Domestic Animals. Annu. Rev. Genomics Hum. Genet. 2007; 8: 131-162.
  • 2. Crosses E. Review Of Statistical Methods For QTL Mapping In Experimental Crosses. Lab Animal 2001; 30(7).
  • 3. Yang J, Hu C, Hu H, Yu R, Xia Z, Ye X & Zhu J. QTLNetwork: Mapping And Visualizing Genetic Architecture Of Complex Traits In Experimental Populations. Bioinformatics 2008; 24(5): 721-723.
  • 4. Ferreira A, Silva MFD, & Cruz CD. Estimating The Effects Of Population Size And Type On The Accuracy Of Genetic Maps. Genetics and Molecular Biology 2006; 29(1): 187-192.
  • 5. Wang B, Guo W, Zhu X, Wu Y, Huang N & Zhang T. QTL Mapping Of Fiber Quality In An Elite Hybrid Derived-Rıl Population Of Upland Cotton. Euphytica 2006; 152(3): 367-378.
  • 6. Wang J, Li ZJ, Lan XY, Hua LS, Huai YT, Huang YZ, Wang JQ. Two Novel SNPs In The Coding Region Of The Bovine Prdm16 Gene And Its Associations With Growth Traits. Molecular Biology Reports 2010; 37(1): 571-577.
  • 7. Han R, Wei Y, Kang X, Chen H, Sun G, Li G, Huang Y. Novel SNPs In The PRDM16 Gene And Their Associations With Performance Traits In Chickens. Molecular Biology Reports 2012; 39(3): 3153-3160.
  • 8. Nuzhdin SV, Harshman LG, Zhou M, & Harmon K. Genome-Enabled Hitchhiking Mapping Identifies QTLs For Stress Resistance In Natural Drosophila. Heredity 2007; 99(3): 313-321.
  • 9. De Koning DJ, Dekkers JCM, & Haley CS. Designs For QTL Detection İn Livestock And Their Implications For Mas. In Proceedings Of An International Workshop Organised By The Fondazione per le Biotecnologie, the University of Turin and FAO. 2003; 17-18.
  • 10. Eathington SR, Crosbie TM, Edwards MD, Reiter RS, Bull JK. Molecular Markers In A Commercial Breeding Program. Crop Science 2007; 47(3): 154.
  • 11. Morjan CL, Rieseberg LH. How Species Evolve Collectively: Implications Of Gene Flow And Selection For The Spread Of Advantageous Alleles. Molecular Ecology 2004; 13(6): 1341-1356.
  • 12. Yakir B, Pisanté A, Darvasi A. Statistical Theory in QTL Mapping. In Computational Genetics and Genomics. Humana Press. 2005. ss:33-50
  • 13. Visscher P, Whittaker J, & Jansen R. Mapping Multiple QTL Of Different Effects: Comparison Of A Simple Sequential Testing Strategy And Multiple QTL Mapping. Molecular Breeding 2000; 6(1): 11-24.
  • 14. Boopathi, NM. Genetic Mapping And Marker Assisted Selection: Basics, Practice And Benefits. Springer Science & Business Media. 2012.
  • 15. Camp NJ, Cox A. (Ed.). Quantitative Trait Loci: Methods And Protocols (Vol. 195). Springer Science & Business Media. 2002.
  • 16. Wenzl P, Li H, Carling J, Zhou M, Raman H, Paul E, Kilian A. A High-Density Consensus Map Of Barley Linking DArT Markers To SSR, RFLP And STS Loci And Agricultural Traits. Bmc Genomics 2006; 7(1): 206.
  • 17. Gürses M, Bayraktar M. Moleküler Markerlerin Hayvan Yetiştiriciliği ve Genetiğinde Kullanımı. Fırat Üniversitesi Sağlık Bilimleri Veteriner Dergisi 2014; 28(2): 99-106.
  • 18. Harris BL, Johnson DL. The Impact Of High Density SNP Chips On Genomic Evaluation In Dairy Cattle. Interbull Bulletin 2010; (42): 40.
  • 19. Zhao Q, Li T, Zhao X, Huang K, Wang T, Li Z, Shi Y. Rare CNVs And tag SNPs At 15q11. 2 Are Associated With Schizophrenia In The Han Chinese population. Schizophrenia bulletin 2013; 39(3): 712-719.
  • 20. Cho KH, Oh JD, Kim HB, Park KD, Lee JH. Genome Wide Association Studies Using Multiple-lactation Breeding Value In Holsteins. Asian-Australasian journal of animal sciences 2015; 28(3): 328.
  • 21. Venturini GC, Cardoso DF, Baldi F, Freitas AC, Aspilcueta-Borquis RR, Santos DJ, Tonhati H. Association Between Single-Nucleotide Polymorphisms And Milk Production Traits In Buffalo. Genetics and molecular research: GMR 2014; 13(4): 10256.
  • 22. Groenen, MA, Megens, HJ, Zare Y, Warren WC, Hillier LW, Crooijmans RP, Cheng, HH. The Development And Characterization Of A 60K SNP Chip For Chicken. BMC genomics 2011; 12(1): 274.
  • 23. Kranis, Gheyas AA, Boschiero C, Turner F, Yu L, Smith S., Burt DW. (). Development Of A High Density 600K SNP Genotyping Array For Chicken. BMC genomics 2013; 14(1): 59.
  • 24. Li H, Bradbury P, Ersoz E, Buckler ES & Wang J. Joint QTL Linkage Mapping For Multiple-Cross Mating Design Sharing One Common Parent. PLoS One 2011; 6(3): 17573.
  • 25. Dapper AL & Lively CM. Interlocus Sexually Antagonistic Coevolution Can Create İndirect Selection For İncreased Recombination. Evolution 2014; 68(4): 1216-1224.
  • 26. Campos JL, Halligan DL, Haddrill PR & Charlesworth B. The Relation Between Recombination Rate And Patterns Of Molecular Evolution And Variation In Drosophila Melanogaster. Molecular biology and evolution 2014; 31(4): 1010-1028.
  • 27. Ellegren H. Genome Sequencing And Population Genomics In Non-Model Organisms. Trends in Ecology & Evolution 2014; 29(1): 51-63.
  • 28. Wu R, Ma C, & Casella G. Statistical Genetics Of Quantitative Traits: Linkage, Maps And QTL. Springer Science & Business Media. 2007.
  • 29. Carlborg Ö, Kerje S, Schütz K, Jacobsson L, Jensen P, Andersson L. A Global Search Reveals Epistatic İnteraction Between Qtl For Early Growth In The Chicken. Genome research 2003; 13(3): 413-421.
  • 30. Falconer DS, & Mackay TF. Introduction To Quantitative Genetics. Harlow. UK: Longman. 1996.
  • 31. Nadaf J, Berri C, Dunn I, Godet E, Le Bihan-Duval E, & De Koning DJ. An Expression QTL of Closely Linked Candidate Genes Affects pH of Meat in Chickens. Genetics 2014; 196(3): 867-874.
  • 32. Bovenhuis H, Van Arendonk, JAM, Davis G, Elsen JM, Haley CS, Hill, WG, Nicholas, FW. Detection And Mapping Of Quantitative Trait Loci In Farm Animals. Livestock Production Science 1997; 52(2): 135-144.
  • 33. Boopathi NM. Mapping Population Development. In Genetic Mapping and Marker Assisted Selection. Springer India. 2013, ss. 23-37.
  • 34. Weller JI, Weller H, Kliger D, & Ron M. Estimation Of Quantitative Trait Locus Allele Frequency Via A Modified Granddaughter Design. Genetics 2002; 162(2): 841- 849.
  • 35. Wang X, Wurmser C, Pausch H, Jung S, Reinhardt F, Tetens J, Fries R. Identification And Dissection Of Four Major QTL Affecting Milk Fat Content In The German Holstein-Friesian Population. PloS one 2012; 7(7): 40711.
  • 36. Andersson L, Haley CS, Ellegren H, Knott SA, Johansson M, et al.. Genetic Mapping Of Quantitative Trait Loci For Growth And Fatness In Pigs. Science 1994; 263:1771– 74.
  • 37. Darvasi A. Experimental Strategies For The Genetic Dissection Of Complex Traits In Animal Models. Nat. Genet. 1998;18:19–24.
  • 38. Kole C, Abbott AG (Ed.). Principles and Practices of Plant Genomics: Advanced Genomics (Vol. 3). CRC Press. 2010
  • 39. Tanksley SD, Nelson JC. Advanced Backcross QTL Analysis: A Method For The Simultaneous Discovery And Transfer Of Valuable QTLs From Unadapted Germplasm Into Elite Breeding Lines. Theor Appl Genet 1995; 92: 191-203.
  • 40. Schulthess A, Schwember AR. Improving Durum Wheat (Triticum Turgidum L. Var Durum) Grain Yellow Pigment Content Through Plant Breeding. Ciencia e Investigación Agraria 2013; 40(3): 475-490.
  • 41. Siegmund D, & Yakir B. The Statistics Of Gene Mapping. Springer Science & Business Media. 2007.
  • 42. Edwards MD, Stuber CW, Wendel JF. Molecular Marker Facilitated Investigation Of Quantitative Trait Loci In Maize. I. Numbers, genomic distribution and types of gene action. Genetics 1987; 116:113–125
  • 43. Churchill GA and Doerge RW. Empirical Threshold Values For Quantitative Trait Mapping. Genetics 1994; 138:963–971.
  • 44. Lander ES, Botstein D (1989) Mapping Mendelian Factors Underlying Quantitative Traits Using Rflp Linkage Maps. Genetics 121:185–199
  • 45. Haldane JBS, Smith CAB. A New Estimate Of The Linkage Between The Genes For Colour-Blindness And Haemophilia In Man. Ann Eugen 1947;14:10–31
  • 46. Dempster AP, NM Laird, and DB Rubin. Maximum Likelihood From Incomplete Data Via The EMalgorithm. J. Roy. Statist. Soc.,Ser.B. 1977; 39:1-38.
  • 47. Özşensoy Y, Kurar E. Genetik Bağlantı Analizi ve Uygulama Alanları. Erciyes Üniversitesi Veteriner Fakültesi Dergisi 2013; 10(1): 53-62.
  • 48. Martinez O. and Curnow RN. Estimating the locations and the size of the effects quantitative trait loci using flanking markers. Theor. Appl. Genet. 1992; 85: 480-488.
  • 49. Jansen RC. Interval mapping of multiple quantitative trait loci. Genetics 1993; 135: 205–211
  • 50. Rodolphe F, Lefort M. A Multi-Marker Model For Detecting Chromosomal Segments Displaying QTL Activity. Genetics 1993;134:1277–1288
  • 51. Zeng ZB. Theoretical Basis For Separation Of Multiple Linked Gene Effects İn Mapping Quantitative Trait Loci. Proc Natl Acad Sci 1993; 90:10972–10976
  • 52. Kao CH et al. Multiple İnterval Mapping For Quantitative Trait Loci. Genetics 1999;152:1203–1216.
  • 53. Maraghı AO. Farelerde Bir Batında Doğan Yavru Sayısının Kantitatif Özellik Lokusu (QTL) Belirlenmesinde Bayesıan Genelleştirilmiş Doğrusal Model Yaklaşımı. Doktora Tezi. Ankara üniversitesi, Fen bilimleri Enstitüsü, 2011

Populations And Statitical Methods Used For Qtl Determination In Animals

Yıl 2015, Cilt: 4 Sayı: 2, 270 - 291, 01.04.2015

Öz

Quantitative characters in organisms aren’t intermittent but persistent, controlled by additive effects of polygenic genes. The location of genes which code the quantitative characters on the chromosomes are named quantitative characters loci (QTL). Because quantitative characters are associated yield characters, to use in selection, QTL mining have been center of interest. The QTL which are researched widely in earth, unfortunately, have not found sufficiently research field in the Turkey. The reason for this are lack of recordkeeping systematically in country-wide and subject requiring too time, labor and cost. In this review, ıt has been tried to explain in the course of history how QTL mining works are planned, performed, the subject of be pointed, the trouble most faced, used population structures, statistical data analysis methods and used computer software. Subject has been tried to be understandable by drawing graphics.

Kaynakça

  • 1. Georges, M. Mapping, Fine Mapping, And Molecular Dissection Of Quantitative Trait Loci In Domestic Animals. Annu. Rev. Genomics Hum. Genet. 2007; 8: 131-162.
  • 2. Crosses E. Review Of Statistical Methods For QTL Mapping In Experimental Crosses. Lab Animal 2001; 30(7).
  • 3. Yang J, Hu C, Hu H, Yu R, Xia Z, Ye X & Zhu J. QTLNetwork: Mapping And Visualizing Genetic Architecture Of Complex Traits In Experimental Populations. Bioinformatics 2008; 24(5): 721-723.
  • 4. Ferreira A, Silva MFD, & Cruz CD. Estimating The Effects Of Population Size And Type On The Accuracy Of Genetic Maps. Genetics and Molecular Biology 2006; 29(1): 187-192.
  • 5. Wang B, Guo W, Zhu X, Wu Y, Huang N & Zhang T. QTL Mapping Of Fiber Quality In An Elite Hybrid Derived-Rıl Population Of Upland Cotton. Euphytica 2006; 152(3): 367-378.
  • 6. Wang J, Li ZJ, Lan XY, Hua LS, Huai YT, Huang YZ, Wang JQ. Two Novel SNPs In The Coding Region Of The Bovine Prdm16 Gene And Its Associations With Growth Traits. Molecular Biology Reports 2010; 37(1): 571-577.
  • 7. Han R, Wei Y, Kang X, Chen H, Sun G, Li G, Huang Y. Novel SNPs In The PRDM16 Gene And Their Associations With Performance Traits In Chickens. Molecular Biology Reports 2012; 39(3): 3153-3160.
  • 8. Nuzhdin SV, Harshman LG, Zhou M, & Harmon K. Genome-Enabled Hitchhiking Mapping Identifies QTLs For Stress Resistance In Natural Drosophila. Heredity 2007; 99(3): 313-321.
  • 9. De Koning DJ, Dekkers JCM, & Haley CS. Designs For QTL Detection İn Livestock And Their Implications For Mas. In Proceedings Of An International Workshop Organised By The Fondazione per le Biotecnologie, the University of Turin and FAO. 2003; 17-18.
  • 10. Eathington SR, Crosbie TM, Edwards MD, Reiter RS, Bull JK. Molecular Markers In A Commercial Breeding Program. Crop Science 2007; 47(3): 154.
  • 11. Morjan CL, Rieseberg LH. How Species Evolve Collectively: Implications Of Gene Flow And Selection For The Spread Of Advantageous Alleles. Molecular Ecology 2004; 13(6): 1341-1356.
  • 12. Yakir B, Pisanté A, Darvasi A. Statistical Theory in QTL Mapping. In Computational Genetics and Genomics. Humana Press. 2005. ss:33-50
  • 13. Visscher P, Whittaker J, & Jansen R. Mapping Multiple QTL Of Different Effects: Comparison Of A Simple Sequential Testing Strategy And Multiple QTL Mapping. Molecular Breeding 2000; 6(1): 11-24.
  • 14. Boopathi, NM. Genetic Mapping And Marker Assisted Selection: Basics, Practice And Benefits. Springer Science & Business Media. 2012.
  • 15. Camp NJ, Cox A. (Ed.). Quantitative Trait Loci: Methods And Protocols (Vol. 195). Springer Science & Business Media. 2002.
  • 16. Wenzl P, Li H, Carling J, Zhou M, Raman H, Paul E, Kilian A. A High-Density Consensus Map Of Barley Linking DArT Markers To SSR, RFLP And STS Loci And Agricultural Traits. Bmc Genomics 2006; 7(1): 206.
  • 17. Gürses M, Bayraktar M. Moleküler Markerlerin Hayvan Yetiştiriciliği ve Genetiğinde Kullanımı. Fırat Üniversitesi Sağlık Bilimleri Veteriner Dergisi 2014; 28(2): 99-106.
  • 18. Harris BL, Johnson DL. The Impact Of High Density SNP Chips On Genomic Evaluation In Dairy Cattle. Interbull Bulletin 2010; (42): 40.
  • 19. Zhao Q, Li T, Zhao X, Huang K, Wang T, Li Z, Shi Y. Rare CNVs And tag SNPs At 15q11. 2 Are Associated With Schizophrenia In The Han Chinese population. Schizophrenia bulletin 2013; 39(3): 712-719.
  • 20. Cho KH, Oh JD, Kim HB, Park KD, Lee JH. Genome Wide Association Studies Using Multiple-lactation Breeding Value In Holsteins. Asian-Australasian journal of animal sciences 2015; 28(3): 328.
  • 21. Venturini GC, Cardoso DF, Baldi F, Freitas AC, Aspilcueta-Borquis RR, Santos DJ, Tonhati H. Association Between Single-Nucleotide Polymorphisms And Milk Production Traits In Buffalo. Genetics and molecular research: GMR 2014; 13(4): 10256.
  • 22. Groenen, MA, Megens, HJ, Zare Y, Warren WC, Hillier LW, Crooijmans RP, Cheng, HH. The Development And Characterization Of A 60K SNP Chip For Chicken. BMC genomics 2011; 12(1): 274.
  • 23. Kranis, Gheyas AA, Boschiero C, Turner F, Yu L, Smith S., Burt DW. (). Development Of A High Density 600K SNP Genotyping Array For Chicken. BMC genomics 2013; 14(1): 59.
  • 24. Li H, Bradbury P, Ersoz E, Buckler ES & Wang J. Joint QTL Linkage Mapping For Multiple-Cross Mating Design Sharing One Common Parent. PLoS One 2011; 6(3): 17573.
  • 25. Dapper AL & Lively CM. Interlocus Sexually Antagonistic Coevolution Can Create İndirect Selection For İncreased Recombination. Evolution 2014; 68(4): 1216-1224.
  • 26. Campos JL, Halligan DL, Haddrill PR & Charlesworth B. The Relation Between Recombination Rate And Patterns Of Molecular Evolution And Variation In Drosophila Melanogaster. Molecular biology and evolution 2014; 31(4): 1010-1028.
  • 27. Ellegren H. Genome Sequencing And Population Genomics In Non-Model Organisms. Trends in Ecology & Evolution 2014; 29(1): 51-63.
  • 28. Wu R, Ma C, & Casella G. Statistical Genetics Of Quantitative Traits: Linkage, Maps And QTL. Springer Science & Business Media. 2007.
  • 29. Carlborg Ö, Kerje S, Schütz K, Jacobsson L, Jensen P, Andersson L. A Global Search Reveals Epistatic İnteraction Between Qtl For Early Growth In The Chicken. Genome research 2003; 13(3): 413-421.
  • 30. Falconer DS, & Mackay TF. Introduction To Quantitative Genetics. Harlow. UK: Longman. 1996.
  • 31. Nadaf J, Berri C, Dunn I, Godet E, Le Bihan-Duval E, & De Koning DJ. An Expression QTL of Closely Linked Candidate Genes Affects pH of Meat in Chickens. Genetics 2014; 196(3): 867-874.
  • 32. Bovenhuis H, Van Arendonk, JAM, Davis G, Elsen JM, Haley CS, Hill, WG, Nicholas, FW. Detection And Mapping Of Quantitative Trait Loci In Farm Animals. Livestock Production Science 1997; 52(2): 135-144.
  • 33. Boopathi NM. Mapping Population Development. In Genetic Mapping and Marker Assisted Selection. Springer India. 2013, ss. 23-37.
  • 34. Weller JI, Weller H, Kliger D, & Ron M. Estimation Of Quantitative Trait Locus Allele Frequency Via A Modified Granddaughter Design. Genetics 2002; 162(2): 841- 849.
  • 35. Wang X, Wurmser C, Pausch H, Jung S, Reinhardt F, Tetens J, Fries R. Identification And Dissection Of Four Major QTL Affecting Milk Fat Content In The German Holstein-Friesian Population. PloS one 2012; 7(7): 40711.
  • 36. Andersson L, Haley CS, Ellegren H, Knott SA, Johansson M, et al.. Genetic Mapping Of Quantitative Trait Loci For Growth And Fatness In Pigs. Science 1994; 263:1771– 74.
  • 37. Darvasi A. Experimental Strategies For The Genetic Dissection Of Complex Traits In Animal Models. Nat. Genet. 1998;18:19–24.
  • 38. Kole C, Abbott AG (Ed.). Principles and Practices of Plant Genomics: Advanced Genomics (Vol. 3). CRC Press. 2010
  • 39. Tanksley SD, Nelson JC. Advanced Backcross QTL Analysis: A Method For The Simultaneous Discovery And Transfer Of Valuable QTLs From Unadapted Germplasm Into Elite Breeding Lines. Theor Appl Genet 1995; 92: 191-203.
  • 40. Schulthess A, Schwember AR. Improving Durum Wheat (Triticum Turgidum L. Var Durum) Grain Yellow Pigment Content Through Plant Breeding. Ciencia e Investigación Agraria 2013; 40(3): 475-490.
  • 41. Siegmund D, & Yakir B. The Statistics Of Gene Mapping. Springer Science & Business Media. 2007.
  • 42. Edwards MD, Stuber CW, Wendel JF. Molecular Marker Facilitated Investigation Of Quantitative Trait Loci In Maize. I. Numbers, genomic distribution and types of gene action. Genetics 1987; 116:113–125
  • 43. Churchill GA and Doerge RW. Empirical Threshold Values For Quantitative Trait Mapping. Genetics 1994; 138:963–971.
  • 44. Lander ES, Botstein D (1989) Mapping Mendelian Factors Underlying Quantitative Traits Using Rflp Linkage Maps. Genetics 121:185–199
  • 45. Haldane JBS, Smith CAB. A New Estimate Of The Linkage Between The Genes For Colour-Blindness And Haemophilia In Man. Ann Eugen 1947;14:10–31
  • 46. Dempster AP, NM Laird, and DB Rubin. Maximum Likelihood From Incomplete Data Via The EMalgorithm. J. Roy. Statist. Soc.,Ser.B. 1977; 39:1-38.
  • 47. Özşensoy Y, Kurar E. Genetik Bağlantı Analizi ve Uygulama Alanları. Erciyes Üniversitesi Veteriner Fakültesi Dergisi 2013; 10(1): 53-62.
  • 48. Martinez O. and Curnow RN. Estimating the locations and the size of the effects quantitative trait loci using flanking markers. Theor. Appl. Genet. 1992; 85: 480-488.
  • 49. Jansen RC. Interval mapping of multiple quantitative trait loci. Genetics 1993; 135: 205–211
  • 50. Rodolphe F, Lefort M. A Multi-Marker Model For Detecting Chromosomal Segments Displaying QTL Activity. Genetics 1993;134:1277–1288
  • 51. Zeng ZB. Theoretical Basis For Separation Of Multiple Linked Gene Effects İn Mapping Quantitative Trait Loci. Proc Natl Acad Sci 1993; 90:10972–10976
  • 52. Kao CH et al. Multiple İnterval Mapping For Quantitative Trait Loci. Genetics 1999;152:1203–1216.
  • 53. Maraghı AO. Farelerde Bir Batında Doğan Yavru Sayısının Kantitatif Özellik Lokusu (QTL) Belirlenmesinde Bayesıan Genelleştirilmiş Doğrusal Model Yaklaşımı. Doktora Tezi. Ankara üniversitesi, Fen bilimleri Enstitüsü, 2011
Toplam 53 adet kaynakça vardır.

Ayrıntılar

Diğer ID JA78SC79CH
Bölüm Makaleler
Yazarlar

Hüseyin Daş Bu kişi benim

Yayımlanma Tarihi 1 Nisan 2015
Yayımlandığı Sayı Yıl 2015 Cilt: 4 Sayı: 2

Kaynak Göster

APA Daş, H. (2015). QTL Tespiti İçin Hayvanlarda Kullanılan Populasyonlar Ve İstatistiksel Metodlar. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi, 4(2), 270-291.
AMA Daş H. QTL Tespiti İçin Hayvanlarda Kullanılan Populasyonlar Ve İstatistiksel Metodlar. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi. Nisan 2015;4(2):270-291.
Chicago Daş, Hüseyin. “QTL Tespiti İçin Hayvanlarda Kullanılan Populasyonlar Ve İstatistiksel Metodlar”. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi 4, sy. 2 (Nisan 2015): 270-91.
EndNote Daş H (01 Nisan 2015) QTL Tespiti İçin Hayvanlarda Kullanılan Populasyonlar Ve İstatistiksel Metodlar. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi 4 2 270–291.
IEEE H. Daş, “QTL Tespiti İçin Hayvanlarda Kullanılan Populasyonlar Ve İstatistiksel Metodlar”, Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi, c. 4, sy. 2, ss. 270–291, 2015.
ISNAD Daş, Hüseyin. “QTL Tespiti İçin Hayvanlarda Kullanılan Populasyonlar Ve İstatistiksel Metodlar”. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi 4/2 (Nisan 2015), 270-291.
JAMA Daş H. QTL Tespiti İçin Hayvanlarda Kullanılan Populasyonlar Ve İstatistiksel Metodlar. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi. 2015;4:270–291.
MLA Daş, Hüseyin. “QTL Tespiti İçin Hayvanlarda Kullanılan Populasyonlar Ve İstatistiksel Metodlar”. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi, c. 4, sy. 2, 2015, ss. 270-91.
Vancouver Daş H. QTL Tespiti İçin Hayvanlarda Kullanılan Populasyonlar Ve İstatistiksel Metodlar. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi. 2015;4(2):270-91.