Acta Scientific Veterinary Sciences (ISSN: 2582-3183)

Review Article Volume 4 Issue 2

Quantitative Trait Loci (Qtl) in Livestock and Poultry: A Review

Olympica Sarma1* and Preetinder Singh2

1 Former M.V.Sc Student, Department of Animal Genetics and Breeding, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, India
2 Former M.V.Sc Student, Department of Veterinary Microbiology, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, India

*Corresponding Author: Olympica Sarma, Former M.V.Sc Student, Department of Animal Genetics and Breeding, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, India.

Received: December 27, 2021; Published: January 31, 2022

Abstract

QTL is a site present on the chromosome at which a gene or group of genes affecting a quantitative trait is located. Techniques like backcross and intercross are used to detect genetic markers. Variation in quantitative trait is correlated with these markers. Moreover, quantification of each locus can be done and amount of variation in the trait can be noted. Specific areas can be target using this information and this knowledge can be used in future for understanding the genome and QTL present in it. However, the genes should be identified in a particular region and their function should be known. Detailed genomic mapping should be done to fully utilized the ability of QTL identification. With the help of QTL mapping, we can detect the variation of a trait in a given population. Moreover, we can know how much environmental factors play role in variation of a trait. Different type of polymorphic genetic markers is used in QTL mapping and certain techniques involving these markers makes it easier for identification of QTL. This QTL technique will further help in increasing the trait of interest in a population and decreasing the undesirable traits in a population. In future it can help in increasing the trait and profit related to that trait.

Keywords: QTL; Traits; Chromosome; Gene; Markers

References

  1. Complex Trait Consortium. "The nature and identification of quantitative trait loci: a community’s view”. Nature Reviews Genetics11 (2003): 911.
  2. Geldermann H. "Investigations on inheritance of quantitative characters in animals by gene markers I. Methods”. Theoretical and Applied Genetics7 (1975): 319-330.
  3. Gros Pierre-Alexis., et al. "The evolution of epistasis and its links with genetic robustness, complexity and drift in a phenotypic model of adaptation”. Genetics1 (2009): 277-293.
  4. Silveira, ACP., et al. "Influence of the halothane gene (HAL) on pork quality in two commercial crossbreeds”. Genetics and Molecular Research 3 (2011): 1479-1489.
  5. , et al. "Double muscling in cattle due to mutations in the myostatin gene”. Proceedings of the National Academy of Sciences94.23 (1997): 12457-12461.
  6. Falconer and Douglas Scott. Introduction to Quantitative Genetics. Pearson Education India (1996).
  7. Gupta SP. "Statistical Methods 1978”. (1978).
  8. Hill WG and S Knott. "Identification of genes with large effects”. Advances in Statistical Methods for Genetic Improvement of Livestock. Springer, Berlin, Heidelberg, 1990. 477-494.
  9. Hammond K and JW James. "Genes of large effect and the shape of the distribution of a quantitative character”. Australian Journal of Biological Sciences4 (1970): 867-876.
  10. Karlin Samuel., et al. "Index measures for assessing the mode of inheritance of continuously distributed traits: I, theory and justifications”. Theoretical Population Biology1 (1979): 81-106.
  11. Famula TR. "Identifying single genes of large effect in quantitative traits using best linear unbiased prediction”. Journal of Animal Science1 (1986): 68-76.
  12. Collard Bertrand CY., et al. "An introduction to markers, quantitative trait loci (QTL) mapping and marker-assisted selection for crop improvement: the basic concepts”. Euphytica1 (2005): 169-196.
  13. Altshuler David., et al. "Genetic mapping in human disease”. Science5903 (2008): 881-888.
  14. Nadeem Muhammad Azhar., et al. "DNA molecular markers in plant breeding: current status and recent advancements in genomic selection and genome editing”. Biotechnology AND Biotechnological Equipment2 (2018): 261-285.
  15. Coffman Cynthia J., et al. "Intersection tests for single marker QTL analysis can be more powerful than two marker QTL analysis”. BMC Genetics1 (2003): 1-9.
  16. Tewodros Mulualem and Bekeko Zelalem. "Advances in quantitative trait loci, mapping and importance of markers assisted selection in plant breeding research”. International Journal of Plant Breeding and Genetics2 (2016): 58-68.
  17. Zobaer Akond Md., et al. "A Comparison on Some Interval Mapping Approaches for QTL Detection”. Bioinformation2 (2019): 90.
  18. Knott Sara A and Chris S Haley. "Maximum likelihood mapping of quantitative trait loci using full-sib families”. Genetics4 (1992): 1211-1222.
  19. Miles C and M Wayne. "Quantitative trait locus (QTL) analysis”. Nature Education 1 (2008): 208.
  20. Wellcome Trust Case Control Consortium. "Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls”. Nature7145 (2007): 661.
  21. Weller JI and M Ron. "Invited review: quantitative trait nucleotide determination in the era of genomic selection”. Journal of Dairy Science3 (2011): 1082-1090.
  22. Wang Minghui., et al. "From QTL to QTN: candidate gene set approach and a case study in porcine IGF1-FoxO pathway”. PLoS One1 (2013): e53452.
  23. https://www.animalgenome.org/cgi-bin/QTLdb/index
  24. Liu JJ., et al. "Genome-wide association studies to identify quantitative trait loci affecting milk production traits in water buffalo”. Journal of Dairy Science1 (2018): 433-444.
  25. Sharma UPASNA., et al. "Identification of quantitative trait loci for milk yield in Murrah buffaloes”. Indian Journal of Animal Sciences5 (2018): 550-557.
  26. Sánchez-Molano Enrique., et al. "Quantitative trait loci mapping for lameness associated phenotypes in holstein–friesian dairy cattle”. Frontiers in Genetics10 (2019): 926.
  27. González-Ruiz Sara., et al. "Genome-wide association study in mexican holstein cattle reveals novel quantitative trait loci regions and confirms mapped loci for resistance to bovine tuberculosis”. Animals9 (2019): 636.
  28. Lali Francis Anand., et al. "Effect of Osteopontin gene variants on milk production traits in Holstein Friesian crossbred cattle of Kerala”. Turkish Journal of Veterinary and Animal Sciences3 (2020): 695-701.
  29. Sahu Amiya Ranjan., et al. "Advances in genomic strategies to improve growth and meat production traits in sheep: An overview”. Indian Journal of Small Ruminants (The)2 (2017): 139-147.
  30. Gutiérrez-Gil B., et al. "Detection of quantitative trait loci and putative causal variants affecting somatic cell score in dairy sheep by using a 50K SNP chip and whole-genome sequencing”. Journal of Dairy Science10 (2018): 9072-9088.
  31. Zlobin Alexander S., et al. "Recent advances in understanding genetic variants associated with growth, carcass and meat productivity traits in sheep (Ovis aries): an update”. Archives Animal Breeding2 (2019): 579-583.
  32. Li Xin., et al. "Whole-genome resequencing of wild and domestic sheep identifies genes associated with morphological and agronomic traits”. Nature Communications1 (2020): 1-16.
  33. Yuan Zehu., et al. "Expression quantitative trait loci in sheep liver and muscle contribute to variations in meat traits”. Genetics Selection Evolution1 (2021): 1-14.
  34. Roldán DL., et al. "QTL detection for milk production traits in goats using a longitudinal model”. Journal of Animal Breeding and Genetics3 (2008): 187-193.
  35. Martin Pauline., et al. "A genome scan for milk production traits in dairy goats reveals two new mutations in Dgat1 reducing milk fat content”. Scientific Reports1 (2017): 1-13.
  36. Shrivastava Kush., et al. "Exploring the molecular basis of resistance/susceptibility to mixed natural infection of Haemonchus contortus in tropical Indian goat breed”. Veterinary Parasitology262 (2018): 6-10.
  37. Wang Ke., et al. "Whole-genome sequencing to identify candidate genes for litter size and to uncover the variant function in goats (Capra hircus)”. Genomics1 (2021): 142-150.
  38. Badbarin Sajad., et al. "QTLs detection for mohair traits in Iranian Angora goats (Markhoz goats)”. Small Ruminant Research202 (2021): 106460.
  39. Velez-Irizarry Deborah., et al. "Genetic control of longissimus dorsi muscle gene expression variation and joint analysis with phenotypic quantitative trait loci in pigs”. BMC Genomics1 (2019): 1-19.
  40. Oyelami Favour Oluwapelumi., et al. "Haplotype block analysis reveals candidate genes and QTLs for meat quality and disease resistance in Chinese Jiangquhai pig breed”. Frontiers in Genetics11 (2020): 752.
  41. Daza Kaitlyn R., et al. "Integrated Genome-Wide Analysis of MicroRNA Expression Quantitative Trait Loci in Pig Longissimus Dorsi Muscle”. Frontiers in Genetics12 (2021): 364.
  42. Mehrotra Arnav., et al. "A 1.6 Mb region on SSC2 is associated with antibody response to classical swine fever vaccination in a mixed pig population”. Animal Biotechnology(2021): 1-6.
  43. Tolenkhomba TC., et al. "Association of porcine growth hormone gene with growth performance in “Zovawk”: A hill pig of Mizoram, India”. (2021).
  44. Yadav Ramji., et al. "Influence of sires’ microsatellite genotype on pre-housing body weights and mortality in Rhode Island Red chicken”. Indian Journal of Poultry Science3 (2015): 239-243.
  45. Das Ananta Kumar., et al. "Association study between microsatellite genotypes and layer performances in Rhode Island Red chicken”. Indian Journal of Animal Sciences9 (2016): 1021-1024.
  46. Jin Shil., et al. "Identification of quantitative trait loci for the fatty acid composition in Korean native chicken”. Asian-Australasian Journal of Animal Sciences8 (2018): 1134.
  47. Faveri JC., et al. "Quantitative trait loci for morphometric and mineral composition traits of the tibia bone in a broiler× layer cross”. Animal8 (2019): 1563-1569.
  48. Parveen Alia., et al. "Identification and validation of quantitative trait loci for ascites syndrome in broiler chickens using whole genome resequencing”. BMC Genetics21 (2020): 1-10.

Citation

Citation: Olympica Sarma and Preetinder Singh. “Quantitative Trait Loci (Qtl) in Livestock and Poultry: A Review". Acta Scientific Veterinary Sciences 4.2 (2022): 115-123.

Copyright

Copyright: © 2022 Olympica Sarma and Preetinder Singh. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate35%
Acceptance to publication20-30 days
Impact Factor1.008

Indexed In





News and Events


  • Certification for Review
    Acta Scientific certifies the Editors/reviewers for their review done towards the assigned articles of the respective journals.
  • Submission Timeline for Upcoming Issue
    The last date for submission of articles for regular Issues is April 30th, 2024.
  • Publication Certificate
    Authors will be issued a "Publication Certificate" as a mark of appreciation for publishing their work.
  • Best Article of the Issue
    The Editors will elect one Best Article after each issue release. The authors of this article will be provided with a certificate of "Best Article of the Issue".
  • Welcoming Article Submission
    Acta Scientific delightfully welcomes active researchers for submission of articles towards the upcoming issue of respective journals.

Contact US