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Marker Assisted Selection-Applications and Evaluation for Commercial Poultry Breeding

  • Sodhi, Simrinder Singh (Department of Animal Biotechnology, Faculty of Biotechnology, Jeju National University) ;
  • Jeong, Dong Kee (Department of Animal Biotechnology, Faculty of Biotechnology, Jeju National University) ;
  • Sharma, Neelesh (Department of Animal Biotechnology, Faculty of Biotechnology, Jeju National University) ;
  • Lee, Jun Heon (Department of Animal Science and Biotechnology, Chungnam National University) ;
  • Kim, Jeong Hyun (Department of Animal Biotechnology, Faculty of Biotechnology, Jeju National University) ;
  • Kim, Sung Hoon (Department of Animal Life and Environment Science, Hankyong National University) ;
  • Kim, Sung Woo (Animal Genetic Resources Station, National Institute of Animal Science) ;
  • Oh, Sung Jong (Department of Animal Biotechnology, Faculty of Biotechnology, Jeju National University)
  • Received : 2013.08.26
  • Accepted : 2013.09.16
  • Published : 2013.09.30

Abstract

Poultry industry is abounding day by day as it engrosses less cost of investment per bird as compared to large animals. Poultry have the most copious genomic tool box amongst domestic animals for the detection of quantitative trait loci (QTL) and marker assisted selection (MAS). Use of multiple markers and least square techniques for mapping of QTL affecting quality and production traits in poultry is in vogue. Examples of genetic tests that are available to or used in industry programs are documented and classified into causative mutations (direct markers), linked markers in population-wide linkage disequilibrium (LD) with the QTL (LD markers), and linked markers in population wide equilibrium with the QTL (LE markers). Development of genome-wide SNP assays, role of 42 K, 60 K (Illumina) and 600 K (Affymetrix$^{(R)}$ Axim$^{(R)}$) SNP chip with next generation sequencing for identification of single nucleotide polymorphism (SNP) has been documented. Hybridization based, PCR based, DNA chip and sequencing based are the major segments of DNA markers which help in conducting of MAS in poultry. Economic index-marker assisted selection (EI-MAS) provides platform for simultaneous selection for production traits while giving due weightage to their marginal economic values by calculating predicted breeding value, using information on DNA markers which are normally associated with relevant QTL. Understanding of linkage equilibrium, linkage dis-equilibrium, relation between the markers and gene of interest are quite important for success of MAS. This kind of selection is the most useful tool in enhancing disease resistance by identifying candidate genes to improve the immune response. The application of marker assisted selection in selection procedures would help in improvement of economic traits in poultry.

Keywords

References

  1. Abasht B, Sandford E, Arango J, Settar P, Fulton JE, Neil POS, Abebe H, David H, Fernando RL, Dekkers JCM, Lamont SJ 2009 Extent and consistency of linkage disequilibrium and identification of DNA markers for production and egg quality traits in commercial layer chicken populations. BMC Genomics 10 (Suppl 2):S2.
  2. Ali BA, Ahmed MMM, Aly OM 2003 Relationship between genetic similarity and some productive traits in local chicken strains. African J Biotech 2:46-47. https://doi.org/10.5897/AJB2003.000-1008
  3. Andreescu C, Avendano S, Brown SR, Hassen A, Lamont SJ, Dekkers JCM 2007 Linkage disequilibrium in related breeding lines of chickens. Genetics 177:2161-2169. https://doi.org/10.1534/genetics.107.082206
  4. Arthur JA, Albers GAA 2003 Industrial perspective on problems and issues associated with poultry breeding. Poultry Genetics, Breeding and Biotechnology, edited by W M Muir & S E Aggrey (CABI Publishing, Wallingford, U. K.):1-12.
  5. Muir & S E Aggrey (CABI Publishing, Wallingford, U. K.):1-12.
  6. Bahmanimehr A 2012 Selection for economic traits in chickens breeding program according to genetic parameters and correlation between traits. World Appl Sci J 20:1332-1335.
  7. Bai Y, Sartor M, Cavalcoli 2012 Current status and future perspectives for sequencing livestock genomes. J Anim Sci Biotech 3:8. https://doi.org/10.1186/2049-1891-3-8
  8. Bailey JA, Kidd JM, Eichhler EE 2008 Human copy number polymorphic genes. Cytogenet Genome Res 123:234-243. https://doi.org/10.1159/000184713
  9. Bain MM 2004 Recent advances in the assessment of eggshell quality and their future application. World Poult Sci J 61(2):268-277.
  10. Bakhtiarizadeh MR, Arefnejad B, Ebrahimie E, Ebrahimi M 2012 Application of functional genomic information to develop efficient EST-SSRs for the chicken (Gallus gallus) Genet Mol Res 11(2):1558-1574. https://doi.org/10.4238/2012.May.21.12
  11. Best P 2011 Status of global poultry meat, egg production sectors. Available from http://www.WATTAgNet.com, updated Nov. 24. 2011 (Accessed on Apr. 03. 2012).
  12. Beuzen ND, Stear MJ, Chang KC 2000 Molecular markers and their use in animal breeding. Vet J 160:42-52. https://doi.org/10.1053/tvjl.2000.0468
  13. Bilgili SF 2001 Poultry products and processing in the international market place. Proc Internat Anim Agric & Food Sci Conf Indianapolis, IN USA (available from www.fass.org/fass01/pdfs/Bilgili.pdf) (Accessed on Apr. 03. 2012).
  14. Bumstead N, Palyga J 1992 A preliminary linkage map of the chicken genome. Genomics 13:690-697. https://doi.org/10.1016/0888-7543(92)90143-G
  15. Burt DW 2005 Chicken genome: Current status and future opportunities. Genome Res 15:1692-1698. https://doi.org/10.1101/gr.4141805
  16. Chen CY, Misztal I, Aguilar I, Tsuruta S, Meuwissen THE, Aggrey SE, Wing T, Muir WM 2011 Genome-wide marker-assisted selection combining all pedigree phenotypic information with genotypic data in one step: An example using broiler chickens. J Anim Sci 89:23-28. https://doi.org/10.2527/jas.2010-3071
  17. Crittenden LB, Provencher L, Sanatangello L, Levin I, Abplanalp H, Briles RW, Briles WE, Dodgson JB 1993 Characterization of a red jungle fowl by White Leghorn backcross reference population for molecular mapping of the chicken genome. Poult Sci 72:334-348. https://doi.org/10.3382/ps.0720334
  18. Crooijmans RP, Fife MS, Fitzgerald TW, Strickland S, Cheng HH, Kaiser P, Redon R, Groenen MA 2013 Large scale variation in DNA copy number in chicken breeds. Biomed Central (BMC) Genomics 14:398.
  19. De Koning DJ, Carlborg O, Haley CS 2007 The genetics dissection of immune response using gene-expression studies and genome mapping. Vet Immunol Immunopathol 105:343-352.
  20. De Koning DJ, Haley CS 2005 Genetical genomics in humans and model organisms. Trends Genet 21:377-381. https://doi.org/10.1016/j.tig.2005.05.004
  21. De Koning DJ, Haley CS, Windsor D, Hocking PM, Griffin H, Morris A, Vincent J, Burt DW 2004 Segregation of QTL for production traits in commercial meat-type chickens. Genet Res 83:211-220. https://doi.org/10.1017/S0016672304006846
  22. De Koning DJ, Hocking PM 2007 Marker-assisted selection in Poultry. In: Marker Assisted Selection-Current Status and Future Perspectives in Crops, Livestock, Forestry and Fish, Food and Agriculture Organization of the United Nations, Rome, Italy 185-198.
  23. De Koning DJ, Windsor D, Hocking PM, Burt DW, Law A, Haley CS, Morris A, Vincent J, Griffin H 2003 Quantitative trait locus detection in commercial broiler lines using candidate regions. J Anim Sci 81:1158-1165. https://doi.org/10.2527/2003.8151158x
  24. Dekkers JCM 2004 Commercial application of marker and gene-assisted selection in livestock: strategies and lessons. J Ani Sci 82:E313-E328. Available from http://jas.fass.org/cgi/ reprint/82/13_suppl/E313 (Accessed on Apr. 05. 2012).
  25. Dekkers JCM 2005 Implementation of marker assisted selection into breeding programs. 4th European Poultry Genetics Symposium held on 6-8 Oct. Croatia:1-9.
  26. Dekkers JCM, Hospital F 2002 The use of molecular genetics in the improvement of agricultural populations. Macmillan Magazines Ltd 3:22-32. Available from: www.nature.com/reviews/genetics (Accessed on Apr. 05. 2012).
  27. Dodgson JB, Cheng HH, Okimoto R 1997 DNA marker technology: a revolution in animal genetics, Poultry Sci 76:1108- 1114. https://doi.org/10.1093/ps/76.8.1108
  28. Emara MG, Kim H 2003 Genetic markers and their application in poultry breeding. Poultry Sci 82:952-957. https://doi.org/10.1093/ps/82.6.952
  29. FAO 2013 FAO Statistical Yearbook 2012, Food and Agriculture Organization of United Nations, Rome.
  30. Fulton J E 2012 Genomic selection for poultry breeding. Anim Frontiers 2(1):30-36. https://doi.org/10.2527/af.2011-0028
  31. Gholizadeh M, Mianji GR, Zadeh HS 2008 Potential use of molecular markers in the genetic improvement of livestock. Asian J Anim Vet Adv 3(3):120-128. https://doi.org/10.3923/ajava.2008.120.128
  32. Groenen MA, Cheng HH, Bumstead N, Benkel BF, Briles WE, Burke T, Burt DW, Crittenden LB, Dodgson J, Hillel J, Lamont S, deLeon AP, Soller M, Takahashi H, Vignal A 2000 A consensus linkage map of the chicken genome. Genome Res 10:137-147.
  33. Groenen MA, Crooijmans RP, Veenendaal A, Cheng HH, Siwek M, Vander Poel JJ 1998 A comprehensive microsatellite linkage map of the chicken genome. Genomics 49:265-274. https://doi.org/10.1006/geno.1998.5225
  34. Groenen MA, Megens HJ, Zare Y, Warren WC, Hillier LDW, Crooijmans RPMA, Vereijken A, Okimoto R, Muir WM, Cheng HH 2011 The development and characterization of a 60K SNP chip for chicken. Genomics 12:274.
  35. Halldorsson BV, Bafna V, Lippert R, Schwartz R, De La Vega FM, Clark GA, Istrail S 2004 Optimal haplotype block-free selection of tagging SNPs for genome-wide association studies. Genome Res 14:1633-1640. https://doi.org/10.1101/gr.2570004
  36. Hamra CF 2010 An assessment of the potential profitability of poultry farms: a broiler farm feasibility case study. MSc Thesis, University of Tennessee, Martin, 2010.
  37. Hayes B, Goddard ME 2003 Evaluation of marker assisted selection in pig enterprises. Livest Prod Sci 81:197-211. https://doi.org/10.1016/S0301-6226(02)00257-9
  38. Heifetz EM, Fulton JEN, Sullivan PO, Arthur JA, Wang J, Dekkers JCM, Soller M 2007 Mapping quantitative trait loci affecting susceptibility to Marek's disease virus in a backcross population of layer chickens. Genetics 177:2417-2431. https://doi.org/10.1534/genetics.107.080002
  39. Hillier LW, Miller W, Birney E, Warren W, Hardison RC, Ponting CP, Bork P, Burt DW, Groenen MA, Delany ME, et al. 2004 Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution. Nature 432:695-716. https://doi.org/10.1038/nature03154
  40. Howie BN, Carlson CS, Rieder MJ, Nickerson DA 2006 Efficient selection of tagging single-nucleotide polymorphisms in multiple populations. Hum Genet 120:58-68. https://doi.org/10.1007/s00439-006-0182-5
  41. Johan R, Andrea S 2007 Marker assisted selection as a tool for genetic improvement of crops, livestock, forestry and fish in developing countries: an overview of issues. In: marker assisted selection-current status & future perspectives in crops, livestock, forestry & fish. Food and Agriculture organization of the United Nations, Rome, pp 4-13.
  42. Kerje S 2003 Mapping genes affecting phenotypic traits in chicken. Ph D Thesis, Uppsala University, Uppsala.
  43. Kranis A, Gheyas AA, Boschiero C, Turner F, Yu L, Smith S, Talbot R, Pirani A, Brew F, Kaiser P, Hocking PM, Fife M, Salmon N, Fulton J, Strom TM, Haberer G, Weigend S, Preisinger R, Gholami M, Qanbari S, Simianer H, Watson KA, Woolliams JA, Burt DW 2013 Development of a high density 600K SNP genotyping array for chicken. BMC Genomics 14:59. https://doi.org/10.1186/1471-2164-14-59
  44. Lahav T, Atzmon G, Blum S, Ari GB, Weigend S, Cahaner A, Lavi U, Hillel J 2006 Marker-assisted selection based on a multi-trait economic index in chicken: experimental results and simulation. Anim Genet 37:482-488. https://doi.org/10.1111/j.1365-2052.2006.01512.x
  45. Lindblad TK, Winchester E, Daly MJ, Wang DG, Hirschhorn JN, Laviolette P, Ardlie K, Reich DE, Robinson E, Sklar P, Shah N, Thomas D, Fan JB, Gingeras T, Warrington J, Patil N, Hudson TJ, Lander ES 2000 Large scale discovery and genotyping of single nucleotide polymorphisms in the mouse. Nat Genet 24:381-386. https://doi.org/10.1038/74215
  46. Liu HC, Cheng HH, Tirunagaru V, Sofer L, Burnside J 2001a A strategy to identify positional candidate genes conferring marek's disease resistance by integrating DNA microarrays and genetic mapping. Anim Genet 32:351-359. https://doi.org/10.1046/j.1365-2052.2001.00798.x
  47. Liu HC, Kung HJ, Fulton JE, Morgan RW, Cheng HH, 2001b Growth hormone interacts with the Marek's disease virus SORF2 protein and is associated with disease resistance in chicken. Proc Natl Acad Sci USA 98:9203-9208. https://doi.org/10.1073/pnas.161466898
  48. Liu HC, Niikura M, Fulton JE, Cheng HH 2003 Identification of chicken lymphocyte antigen 6 complex, locus E (LY6E, alias SCA2) as a putative Marek's disease resistance gene via a virus-host protein interaction screen. Cytogenet Genome Res 102 (1-4):304-308. https://doi.org/10.1159/000075767
  49. Liu R, Sun Y, Zhao G, Wang F, Wu Dan, Zheng M, Chen J, Zhang L, Hu Y, Wen J 2013 Genome-wide association study Identifies Loci and candidate genes for body composition and meat quality traits in Beijing-You Chicken. PLoS One 8:e61172. https://doi.org/10.1371/journal.pone.0061172
  50. Liu W, Li D, Liu J, Chen S, Qu L, Zheng J, Xu G, Yang N 2011 A genome-wide SNP Scan Reveals Novel Loci for Egg Production and Quality Traits in White Leghorn and Brown-Egg Dwarf Layers. PLoS One 6(12):e28600. https://doi.org/10.1371/journal.pone.0028600
  51. Liu X, Zhang H, Li H, Li N, Zhang Y, Zhang Q, Wang S, Wang Q, Wang H 2008 Fine-mapping quantitative trait loci for body weight and abdominal fat traits: effects of marker density and sample size. Poultry Sci 87:1314-1319. https://doi.org/10.3382/ps.2007-00512
  52. Lwelamira J, Kifaro GC, Gwakisa P 2008 Breeding strategies for improving performance of Kuchi chicken ecotype of Tanzania for production under village conditions. Livest Res Rural Dev 20:11. Available from http://www.lrrd.org/lrrd20/11/lwel20171.htm (Accessed on Dec. 09. 2012).
  53. Malek M, Lamont SJ 2003 Association of INOS, TRAIL, TGF-${beta}$2, TGF- ${beta}$3 and IgL genes with response to Salmonella enteritidis in poultry. Genet Sel Evol 35(Suppl. 1):S99-S111. https://doi.org/10.1186/1297-9686-35-S1-S99
  54. Muir W M 2003 Incorporating molecular information in breeding programmes: applications and limitations. Poultry Genetics, Breeding and Biotechnology, edited by WM Muir & SE Aggrey (CABI Publishing, Wallingford, U. K.) pp. 549- 562.
  55. Ordas B, Malvar RA, Hill WG 2008 Genetic variation and quantitative trait loci associated developmental stability and the environmental correlation between traits in maize. Genet Res 90:385-95. https://doi.org/10.1017/S0016672308009762
  56. Paterson AH, Lander ES, Hewitt JD, Peterson S, Lincoln SE, Tanksley SD 1988 Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms. Nature 335:721-726. https://doi.org/10.1038/335721a0
  57. Ribaut JM, Hoisington D 1998 Marker-assisted selection: new tools and strategies. Trends Plant Sci 3(6):236-239. https://doi.org/10.1016/S1360-1385(98)01240-0
  58. Rosario MF, Silva MAN, Coelho AAD, Savino VJM 2008 Selection of traits in poultry breeding using cluster analysis. Int J Poult Sci 7:374-378. https://doi.org/10.3923/ijps.2008.374.378
  59. Ruane J, Sonnino A 2007 Marker assisted selection as a tool for genetic improvement of crops, livestock, forestry and fish in developing countries: an overview of issues. Marker assisted selection-current status & future perspectives in crops, livestock, forestry and fish, edited by EP Guimaraes, J Ruane, BD Scherf, A Sonnino & JD Dargie. Food and Agriculture Organization of the United Nations, Rome. pp. 4-13.
  60. Saszanov A, Barkova O, Jaszczak K 2010 QTL in chicken: a look back and forward- a review. Anim Sci Pap Rep 28(4):307-314.
  61. Savegnago RP, Buzanskas ME, Nunes BN, Ramos SB, Ledur MC, Nones K, Munari DP 2011 Heritabilities and genetic correlations for reproductive traits in an F2 reciprocal cross chicken population. Genet Mol Res 10(3):1337-1344.
  62. Sewalem A, Morrice DM, Law A, Windsor D, Haley CS, Ikeobi CON, Burt DW, Hocking PM 2002 Mapping of quantitative trait loci for body weight at three, six, and nine weeks of age in a broiler layer cross. Poultry Sci 81:1775-1781. https://doi.org/10.1093/ps/81.12.1775
  63. Slatkin M 2008 Linkage disequilibrium-understanding the evolutionary past and mapping the medical future. Nat Rev Genet 9(6):477-485. https://doi.org/10.1038/nrg2361
  64. Taha FA 2003 Patterns of world poultry consumption and production. In: The Poultry Sector in Middle-Income Countries and Its Feed Requirements, The Case of Egypt, E.R.S., Washington, DC, USA, Agriculture and Trade Report No. WRS03-02. pp. 3-14.
  65. Teneva A 2009 Molecular markers in animal genome analysis. Biotechnol Anim Husb 25(5-6):1267-1284.
  66. Tuiskula-Haavisto M, Honkatukia M, Vilkki J, deKoning DJ, Schulman NF, Tanila AM 2002 Mapping of quantitative trait loci affecting quality and production traits in egg layers. Poultry Sci 81(7):919-927. https://doi.org/10.1093/ps/81.7.919
  67. Vallejo RL, Bacon LD, Liu HC, Witter RL, Groenen MA, Hillel J, Cheng HH 1997 Genetic mapping of quantitative trait loci affecting susceptibility to marek's disease virus induced tumors in F2 intercross chickens. Genetics 148:349-360.
  68. Vander BS, vanArendonk JAM 1996 Marker assisted selection in an outbred poultry breeding nucleus, Anim Sci 62:171-180. https://doi.org/10.1017/S1357729800014442
  69. Visscher PM, Haley CS 1999 On the efficiency of markerassisted introgression. Anim Sci 68:59-68.
  70. Visscher PM, Haley CS, Thompson R 1996 Marker-assisted introgression in backcross breeding programs. Genetics 144:1923-1932.
  71. Visscher PM, Posthuma D 2010 Statistical power to detect genetic loci affecting environmental sensitivity. Behav Genet 40:728-33. https://doi.org/10.1007/s10519-010-9362-0
  72. Wang Y, Zhu Q, Yao YG, Zhao XL, Liu YP 2010 Association of FATP1 gene polymorphisms with chicken carcass traits in Chinese meat-type quality chicken populations. Mol Biol Rep 37:3683-3690. https://doi.org/10.1007/s11033-010-0020-7
  73. Williams JL 2005 The use of marker-assisted selection in animal breeding and biotechnology. Rev Sci Tech Off Int Epiz 24:379-391. https://doi.org/10.20506/rst.24.1.1571
  74. Wolc A, Arango J, Settar P, Fulton JE, O'Sullivan NP, Preisinger R, Habier D, Fernando R, Garrick DJ, Hill WG, Dekkers JC 2012 Genome-wide association analysis and genetic architecture of egg weight and egg uniformity in layer chickens. Anim Genet 43(Suppl. 1):87-96. https://doi.org/10.1111/j.1365-2052.2012.02381.x
  75. Wright D, Boije H, Meadows JRS, Bed'hom B, Gourichon D, Vieaud A, Boichard MT, Rubin CJ, Imsland F, Hallbook F, Andersson L 2009 Copy number variation in intron 1 of SOX5 causes the pea-comb phenotype in chickens. PLoS Genet 5:e1000512. https://doi.org/10.1371/journal.pgen.1000512
  76. Yang Y, Christensen OF, Sorensen D 2011 Use of genomic models to study genetic control of environmental variance. Genet Res 93:125-38. https://doi.org/10.1017/S0016672311000012
  77. Yonash N, Bacon LD, Witter RL, Cheng HH 1999 High resolution mapping and identification of new quantitative trait loci (QTL) affecting susceptibility to Marek's disease. Anim Genet 30:126-135. https://doi.org/10.1046/j.1365-2052.1999.00457.x

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