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Frontier Approaches of Genomic Selection for Livestock Breeding (Review)

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초록

Selection based on phenotype in the traditional manner does not help in tracking the selected gene. Molecular genetics has revolutionized the old established breeding techniques. A new epoch of molecular markers has been acquainted for genetic improvement of livestock. This study is engaged on the neoteric molecular markers used in various fields of livestock. DNA markers are more encouraging in selecting genomes that have recombination events close to the target gene. Molecular markers rely on DNA assay and are better than the morphological and biochemical markers. In this study DNA-based molecular markers developed during the past decagons for animal genome analysis are reviewed. Mapping of molecular markers provide a framework, required for its subsequent use in the selection procedure. Molecular techniques help in the utilization of genetic variability in breeding population. At the same time livestock genomes play important role in human genomics and their role for understanding human genomics cannot be overlooked. Recently, in the epigenetic and transcriptomic studies, RNA sequencing as a part of next generation sequencing has revolutionized the approach and ongoing trends of analysis. Keeping in mind the goals, these molecular techniques can be implemented successfully by following well defined, crisp and integrated strategy.

Abstract

Selection based on phenotype in the traditional manner does not help in tracking the selected gene. Molecular genetics has revolutionized the old established breeding techniques. A new epoch of molecular markers has been acquainted for genetic improvement of livestock. This study is engaged on the neoteric molecular markers used in various fields of livestock. DNA markers are more encouraging in selecting genomes that have recombination events close to the target gene. Molecular markers rely on DNA assay and are better than the morphological and biochemical markers. In this study DNA-based molecular markers developed during the past decagons for animal genome analysis are reviewed. Mapping of molecular markers provide a framework, required for its subsequent use in the selection procedure. Molecular techniques help in the utilization of genetic variability in breeding population. At the same time livestock genomes play important role in human genomics and their role for understanding human genomics cannot be overlooked. Recently, in the epigenetic and transcriptomic studies, RNA sequencing as a part of next generation sequencing has revolutionized the approach and ongoing trends of analysis. Keeping in mind the goals, these molecular techniques can be implemented successfully by following well defined, crisp and integrated strategy.

참고문헌 (58)

  1. Alakilli, S. Y. M., "Genetic polymorphism of five genes associated with growth traits in goat", Afr. J. Biotechnol, 11, pp.14738~14748 (2012)
  2. Bai, Y., "Current status and future perspectives for sequencing livestock genomes", J. Anim. Sci. Biotechnol, 3, pp.8~ (2012)
  3. Bakhtiarizadeh, M. R., "Application of functional genomic information to develop efficient EST-SSRs for the chicken (Gallus gallus)", Genet. Mol. Res, 11, pp.1558~1574 (2012)
  4. Bryan, N. H., "Efficient selection of tagging single-nucleotide polymorphisms in multiple populations", Hum. Genet, 120, pp.58~68 (2006)
  5. Calenge, F., "QTL for resistance to Salmonella carrier sate confirmed in both experimental and commercial chicken lines", Anim. Genet, 40, pp.590~597 (2009)
  6. Chowdhary, B. P., "Equine genomics: galloping to new frontiers", Cytogenet. Genome Res, 102, pp.184~188 (2003)
  7. Chumurzynska, A., "Association of a new SNP in promoter region of the porcine FABP3 gene with fatness traits in a Polish synthetic line", Anim. Biotechnol, 18, pp.37~44 (2007)
  8. Crispim, B. A., "Molecular markers for genetic diversity and phylogeny research of Brazilian sheep breeds", pp.15617~15625 (2012), Afr. J. Biotechnol
  9. Crispim, B. A., "Discriminação Alélica em Ovinos Naturalizados do Pantanal SulMatogrossense por Meio de Marcadores de Microssatélites", J. Selva Andina Res. Soc, 3, pp.3~13 (2012)
  10. Eberlw, K. N., "Phenotypic and genotypic methods for typing Campylobacter jejuni and Campylobacter coli in poultry", Poult. Sci, 91, pp.55~264 (2012)
  11. Erhardt, E., "Use of molecular markers for evaluation of genetic diversity and in animal production", Arch. Latinoam. Prod. Anim, 15, pp.63~66 (2007)
  12. Fulton, J. E., "Genomic selection for poultry breeding", Anim. Front, 2, pp.30~36 (2012)
  13. Gerbens, F., "Characterization, chromosomal localization, and genetic variation of the porcine heart fatty acid-binding protein gene", Mamm. Genome, 8, pp.328~332 (1997)
  14. Gholizadeh, M., "Potential use of molecular markers in the genetic improvement of livestock", Asian J. Anim. Vet. Adv, 3, pp.120~128 (2008)
  15. Groenen, M. A. M., "The development and characterization of a 60K SNP chip for chicken", BMC Genomics, 12, pp.274~282 (2011)
  16. Halldorsson, B. V., "Optimal haplotype block-free selection of tagging SNPs for genome-wide association studies", Genome Res, 14, pp.1633~1640 (2004)
  17. Heifetz, E. M., "Extent and consistency across generations of linkage disequilibrium in commercial layer chicken breeding populations", Genetics, 171, pp.1173~1181 (2005)
  18. Hoffman, J. I., "Widespread amplification of amplified fragment length polymorphisms (AFLPs) in marine Antarctic animals", Polar Biol, 35, pp.919~929 (2012)
  19. Honkatukia, M., "Mapping of QTL affecting incidence of blood and meat inclusions in egg layers", BMC Genet, 12, pp.55~ (2011)
  20. Hu, J., "Resistance to Salmonellosis in the chicken is linked to NRAMP1 and TNC", Genet. Res, 7, pp.643~704 (1997)
  21. Jeong, D. K., "Simple separation of chicken gonadal primordial germ cells with and without foreign genes", Cell Biol. Int, 26, pp.647~651 (2002)
  22. Jeong, D. K., "Occurrence and genotypic characteristics of Enterocytozoon bieneusi in pigs with diarrhea", Parasitol. Res, 102, pp.123~128 (2007)
  23. Johan, R., "Marker Assisted Selectioncurrent status & future perspectives in crops, livestock, forestry & fish", pp.4~13 (2007), F. A. O
  24. Johnson, D. S., "Genome-wide mapping of in vivo protein-DNA interactions", Science, 316, pp.1497~1502 (2007)
  25. Kim, K. S., "Polar over dominant inheritance of a DLK1 polymorphism is associated with growth and fatness in pigs", Mamm. Genome, 15, pp.552~559 (2004)
  26. Kim, K. S., "A missense variant of the porcine melanocortin-4 receptor (MC4R) gene is associated with fatness, growth, and feed intake traits", Mamm. Genome, 11, pp.131~135 (2000)
  27. Kumar, N. S., "Random amplified polymorphic DNA (RAPD)markers and its application", Sci. Vis, 11, pp.116~124 (2011)
  28. Ladani, D. D., "Prolactin genotyping of Indian buffalo breeds using PCR-RFLP", J. Buffalo, 2, pp.203~208 (2003)
  29. Lee, S. H., "QTL and gene expression analyses identify genes affecting carcass weight and marbling on BTA14 in Hanwoo (Korean Cattle)", Mamm. Genome, 22, pp.589~601 (2011)
  30. Lee, S. H., "Identification of differentially expressed genes related to intramuscular fat development in the early and late fattening stages of Hanwoo steers", J. Biochem. Mol. Biol, 40, pp.757~764 (2007)
  31. Lim, D., "The Pig Genome database (PiGenome): an integrated database for pig genome research", Mamm. Genome, 20, pp.60~66 (2009)
  32. Lim, D., "Identification of candidate genes related to bovine marbling using protein-protein interaction networks", Int. J. Biol. Sci, 7, pp.992~1002 (2011)
  33. Litchfield, A. M., "Disease resistance in Merino sheep. II. RFLPs in class II MHC and their association with resistance to footrot", J. Anim. Breed. Genet, 110, pp.321~334 (1993)
  34. Lonergan, S. M., "Breast meat quality and composition in unique chicken populations", Poult. Sci, 82, pp.~1990-1994. (2003)
  35. Matukumalli, L. K., "Development and characterization of a high density SNP genotyping assay for Cattle", PLoS ONE, pp.5350~ (2009)
  36. McAfee, K., "Neoliberalism on the molecular scale. Economic and genetic reductionism in biotechnology battles", Geoforum, 34, pp.203~219 (2003)
  37. Montaldo, H. H., "Genetic engineering applications in animal breeding", Electron. J. Biotechno, 9, pp.157~170 (2006)
  38. Moravcikova, N., "SNP analyses of the bovine growth hormone and leptin genes by PCR–RFLP method", J. Microb. Biotech. Food Sci, 1, pp.679~688 (2012)
  39. Mortazavi, A., "Mapping and quantifying mammalian transcriptomes by RNA-Seq", Nat. Methods, 5, pp.621~628 (2008)
  40. Noyesa, H., "Genetic and expression analysis of cattle identifies candidate genes in pathways responding to Trypanosoma congolense infection", Proc. Natl. Acad. Sci. USA, 108, pp.9304~9309 (2011)
  41. Ordas, B., "Genetic variation and quantitative trait loci associated developmental stability and the environmental correlation between traits in maize", Genet. Res, 90, pp.385~395 (2008)
  42. Pollak, E. J., "Application and impact of new genetic technologies on beef cattle breeding: a “real world” perspective", Aust. J. Exp. Agric, 45, pp.739~748 (2005)
  43. Rothschild, M. F., "Advances in pig genomics and functional gene Discovery", Comp. Funct. Genomics, 4, pp.266~270 (2003)
  44. Sasaki, O., "Genetic mapping of quantitative trait loci affecting body weight, egg character and egg production in F2intercross chickens", Anim. Genet, 35, pp.188~194 (2004)
  45. Saszanov, A., "QTL in chicken: a look back and forward- a review", Anim. Sci. Pap. Rep, 28, pp.307~314 (2010)
  46. Schwab, C. R., "An evaluation of four candidate genes for use in selection programmes aimed at increased intramuscular fat in Duroc swine", J. Anim. Breed. Genet, 126, pp.228~236 (2009)
  47. Slatkin, M., "Linkage disequilibrium--understanding the evolutionary past and mapping the medical future", Nat. Rev. Genet, 9, pp.477~485 (2008)
  48. Sodhi, S. S., "Effect of Non- Genetic factors on the composition of milk of Murrah Buffaloes", J. Indian Vet, 85, pp.950~952 (2008)
  49. Tabor, H. K., "Candidate-gene approaches for studying complex genetic traits: practical considerations", Nature Rev. Genet, 3, pp.391~397 (2002)
  50. Takahashi, H., "Mapping of quantitative trait loci affecting egg shell quality on chromosome – 9 in a F2 intercross between two chicken lines divergently selected for egg shell strength", Anim. Genet, 40, pp.779~782 (2009)
  51. Teneva, A., "Molecular markers in animal genome analysis. Biotech", Anim. Husbandry, 25, pp.1267~1284 (2009)
  52. Varki, A., "Comparing the human and chimpanzee genomes: Searching for needles in a haystack", Genome Res, 15, pp.1746~1758 (2005)
  53. Vignal, A., "A review on SNP and other types of molecular markers and their use in animal genetics", Genet. Sel. Evol, 34, pp.275~305 (2002)
  54. Visscher, P. M., "Statistical power to detect genetic loci affecting environmental sensitivity", Behav. Genet, 40, pp.728~733 (2010)
  55. Wang, Z., "RNA-seq: A revolutionary tool for transcriptomics", Nat. Rev. Genet, 10, pp.57~63 (2009)
  56. Waterston, R. H., "Initial sequencing and comparative analysis of the mouse genome", Nature, 420, pp.520~562 (2002)
  57. Wolc, A., "Genome-wide association analysis and genetic architecture of egg weight and egg uniformity in layer chickens", Anim. Genet, 43, pp.87~96 (2012)
  58. Yang, Y., "Use of genomic models to study genetic control of environmental variance", Genet. Res, 93, pp.125~138 (2011)

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