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YENİÇAĞDA OMİK BİLİMLER VE HAYVAN YETİŞTİRİCİLİĞİ

Year 2024, Volume: 15 Issue: 2, 77 - 85, 31.08.2024
https://doi.org/10.38137/vftd.1435396

Abstract

Teknolojik gelişmelerin sonucunda ortaya çıkan OMİK bilimleri, biyolojik sistemlerin yapı ve işlevselliğinin büyük ölçekli veriler aracılığıyla araştırılmasına ve analiz edilmesine olanak sağlamaktadır. Genomik, transkriptomik, proteomik ve metabolomik bilimleri içeren omik bilimleri, hiyerarşik olarak aşağıdan yukarıya bir yaklaşım kullanarak biyolojik sistemlerin incelenmesine ve analizine olanak tanır. Genetik ve hayvan ıslahındaki ilerlemeler, genomik bilginin çeşitli seleksiyon süreçlerinde kullanılmasını kolaylaştırmıştır. Ayrıca, teknik gelişmelerin kullanılması ile çok miktarda verinin verimli bir şekilde ele alınması ve analiz edilmesi, hayvancılık işletmeleri ve çiftçilerin karşılaştıkları zorlukları yönetmelerine yardımcı olmak açısından önemlidir. Bu özel çerçeve içerisinde, kapsamlı veya karmaşık ölçüm araçlarının kullanılmasının bir sonucu olarak yeni fenotipler ortaya çıkmaktadır. Hayvan ıslahında yeni karakterlerin biyolojik kökenleri ve genetik yapısı hakkında bilgi edinmek, hayvancılığın uzun vadeli sürdürülebilirliği için önem arz etmektedir. OMİK bilimleri, yeni fenotiplere öncelik vererek ve hayvan refahıyla uyumlu sürdürülebilir yetiştirme uygulamalarını teşvik etmede önemli bir rol üstlenerek iklimde değişikliklerin meydana geldiği bu yeniçağda hayvan yetiştirmedeki zorlukları çözme kapasitesi sağlamaktadır. Bu derleme, OMİK bilimlerine ve potansiyel uygulamalarına genel bakış sunmayı amaçlamaktadır.

References

  • Akçapınar, H. & Ünal, N. (2005). Hayvan Islahı Öğrenci Notları.
  • Chakraborty, D., Sharma, N., Kour, S., Sodhi, S. S., Gupta, M. K., Lee, S. J. & Son, Y. O. (2022). Applications of omics technology for livestock selection and improvement. Front Genet, 13, 774113. doi: https://doi.org/10.3389/fgene.2022.774113.
  • Chang, Y., Brito, L. F., Alvarenga, A. B. & Wang, Y. (2020). Incorporating temperament traits in dairy cattle breeding programs: challenges and opportunities in the phenomics era. Animal Frontiers, 10(2), 29-36. https://doi.org/10.1093/af/vfaa006.
  • Dai, X. & Shen, L. (2022). Advances and Trends in Omics Technology Development. Frontiers in Medicine, 9. https://doi.org/10.3389/fmed.2022.911861.
  • Dalal, N., Jalandra, R., Sharma, M., Prakash, H., Makharia, G. K., Solanki, P. R., Singh, R. & Kumar, A. (2020). Omics technologies for improved diagnosis and treatment of colorectal cancer: Technical advancement and major perspectives. Biomedicine & Pharmacotherapy, 131, 110648. https://doi.org/10.1016/j.biopha.2020.110648.
  • Fontanesi, L. (2016). Metabolomics and livestock genomics: Insights into a phenotyping frontier and its applications in animal breeding. Animal Frontiers, 6(1), 73-79. https://doi.org/10.2527/af.2016-0011.
  • Greenwood, P. L., Bishop-Hurley, G. J., González, L. A. & Ingham, A. B. (2016). Development and application of a livestock phenomics platform to enhance productivity and efficiency at pasture. Animal Production Science, 56(8), 1299. https://doi.org/10.1071/AN15400.
  • Houle, D. (2007). A dispatch from the multivariate frontier. Journal of Evolutionary Biology, 20(1), 22-23. https://doi.org/10.1111/j.1420-9101.2006.01237.x.
  • Houle, D., Govindaraju, DR. & Omholt, S. (2010). Phenomics: the next challenge. Nature Reviews Genetics, 11(12), 855-866. https://doi.org/10.1038/nrg2897.
  • Jin, L. (2021). Welcome to the Phenomics Journal. Phenomics, 1(1), 1-2. https://doi.org/10.1007/s43657-020-00009-4.
  • McCoy, J. C. S., Spicer, J. I., Ibbini, Z. & Tills, O. (2023). Phenomics as an approach to Comparative Developmental Physiology. Frontiers in Physiology, 14. https://doi.org/10.3389/fphys.2023.1229500.
  • Mrode, R., Ekine Dzivenu, C., Marshall, K., Chagunda, M. G. G., Muasa, B. S., Ojango, J. & Okeyo, A. M. (2020). Phenomics and its potential impact on livestock development in low-income countries: innovative applications of emerging related digital technology. Animal Frontiers, 10(2), 6-11. https://doi.org/10.1093/af/vfaa002.
  • Nye, J., Zingaretti, L. M. & Pérez-Enciso, M. (2020). Estimating Conformational Traits in Dairy Cattle With DeepAPS: A Two-Step Deep Learning Automated Phenotyping and Segmentation Approach. Frontiers in Genetics, 11. https://doi.org/10.3389/fgene.2020.00513.
  • Omics (2024). What is omics. Erişim Adresi: https://omics.org/What_is_omics (Erişim Tarihi: 11.01.2024). Özbeyaz, C. & Kocakaya, A. (2011). Genomic Evaluation in Dairy Cattle (A review). Lalahan Hayvancılık Araştırma Enstitüsü Dergisi, 51(2), 93-104.
  • Pérez-Enciso, M. & Steibel, J. P. (2021). Phenomes: the current frontier in animal breeding. Genetics Selection Evolution, 53(1), 22. https://doi.org/10.1186/s12711-021-00618-1.
  • Phenomics (2024). Phenomics. Erişim Adresi: en.wikipedia.org/wiki/Phenomics (Erişim Tarihi: 11.01.2024).
  • RD-Connect (2024). Omics Data. Erişim Adresi: https://rd-connect.eu/what-we-do/omics/ (Erişim Tarihi: 11.01.2024).
  • Rexroad, C., Vallet, J., Matukumalli, L. K., Reecy, J., Bickhart, D., Blackburn, H., Boggess, M., Cheng, H., Clutter, A., Cockett, N., Ernst, C., Fulton, J. E., Liu, J., Lunney, J., Neibergs, H., Purcell, C., Smith, T. P. L., Sonstegard, T., Taylor, J. & Wells, K. (2019). Genome to Phenome: Improving Animal Health, Production, and Well-Being – A New USDA Blueprint for Animal Genome Research 2018–2027. Frontiers in Genetics, 10. https://doi.org/10.3389/fgene.2019.00327.
  • Robert, C. (2008). Challenges of functional genomics applied to farm animal gametes and pre-hatching embryos. Theriogenology, 70(8), 1277-1287. https://doi.org/10.1016/j.theriogenology.2008.06.005.
  • Seidel, A., Krattenmacher, N. & Thaller, G. (2020). Dealing with complexity of new phenotypes in modern dairy cattle breeding. Animal Frontiers, 10(2), 23-28. https://doi.org/10.1093/af/vfaa005.
  • Stamp, F., Binder, E. & Chen, A. (2018). The uncharted territory of epitranscriptomics – mRNA modifications in psychiatric disorders. www.mpg.de/12621941/psych_jb_2018.
  • Subedi, P., Moertl, S. & Azimzadeh, O. (2022). Omics in Radiation Biology: Surprised but Not Disappointed. Radiation, 2(1), 124-129. https://doi.org/10.3390/radiation2010009.
  • Sukhija, N., Kanaka, K. K., Goli, R. C., Kapoor, P., Sivalingam, J., Verma, A., Sharma, R., Tripathi, S. B. & Malik, A. A. (2023). The flight of chicken genomics and allied omics-a mini review. Ecological Genetics and Genomics, 29, 100201. https://doi.org/10.1016/j.egg.2023.100201.
  • Tills, O., Holmes, L. A., Quinn, E., Everett, T., Truebano, M. & Spicer, J. I. (2023). Phenomics enables measurement of complex responses of developing animals to global environmental drivers. Science of The Total Environment, 858, 159555. https://doi.org/10.1016/j.scitotenv.2022.159555.
  • Vailati-Riboni, M., Palombo, V. & Loor, J. J. (2017). What Are Omics Sciences? Içinde B. N. Ametaj (Ed.), Periparturient Diseases of Dairy Cows (ss. 1-7). Springer International Publishing. https://doi.org/10.1007/978-3-319-43033-1_1.
  • Vieira Ventura, R., Fonseca e Silva, F., Manuel Yáñez, J. & Brito, L. F. (2020). Opportunities and challenges of phenomics applied to livestock and aquaculture breeding in South America. Animal Frontiers, 10(2), 45-52. https://doi.org/10.1093/af/vfaa008.
  • Wikipedia. (2023). Omics. Erişim Adresi: https://en.wikipedia.org/wiki/Omics (Erişim Tarihi: 15.11.2023). Wu, X.-L., Ding, X., Zhao, Y., Miles, A. M., Brito, L. F., Heringstad, B., Zhao, S. & Jiang, Z. (2023). Editorial: Lactation genomics and phenomics in farm animals: Where are we at? Frontiers in Genetics, 14. https://doi.org/10.3389/fgene.2023.1173595.
  • Yan, S., Nagle, D. G., Zhou, Y. & Zhang, W. (2018). Application of Systems Biology in the Research of TCM Formulae. Içinde Systems Biology and its Application in TCM Formulas Research (ss. 31-67). Elsevier. https://doi.org/10.1016/B978-0-12-812744-5.00003-5.

OMIC SCIENCES IN THE NEW AGE AND ANIMAL BREEDING

Year 2024, Volume: 15 Issue: 2, 77 - 85, 31.08.2024
https://doi.org/10.38137/vftd.1435396

Abstract

Technological developments have enabled OMIC sciences to investigate and analyze the structure and functionality of biological systems through large-scale data. Omics sciences, which include genomics, transcriptomics, proteomics, and metabolomics, enable the study and analysis of biological systems using a hierarchically bottom-up approach. Advances in genetics and animal breeding have facilitated the use of genomic information in various selection processes. Additionally, handling and analyzing large amounts of data efficiently using technical advances is essential to help livestock enterprises and farmers manage their challenges. Within this particular framework, new phenotypes emerge as a result of the use of extensive or complex measurement tools. Obtaining information about the biological origins and genetic structure of new characters in animal breeding is important for the long-term sustainability of animal breeding. OMIC sciences provide the capacity to solve the challenges of animal breeding in this new age of climate change by prioritizing new phenotypes and playing a key role in promoting sustainable breeding practices compatible with animal welfare. This review aims to provide an overview of OMICS and their potential applications.

References

  • Akçapınar, H. & Ünal, N. (2005). Hayvan Islahı Öğrenci Notları.
  • Chakraborty, D., Sharma, N., Kour, S., Sodhi, S. S., Gupta, M. K., Lee, S. J. & Son, Y. O. (2022). Applications of omics technology for livestock selection and improvement. Front Genet, 13, 774113. doi: https://doi.org/10.3389/fgene.2022.774113.
  • Chang, Y., Brito, L. F., Alvarenga, A. B. & Wang, Y. (2020). Incorporating temperament traits in dairy cattle breeding programs: challenges and opportunities in the phenomics era. Animal Frontiers, 10(2), 29-36. https://doi.org/10.1093/af/vfaa006.
  • Dai, X. & Shen, L. (2022). Advances and Trends in Omics Technology Development. Frontiers in Medicine, 9. https://doi.org/10.3389/fmed.2022.911861.
  • Dalal, N., Jalandra, R., Sharma, M., Prakash, H., Makharia, G. K., Solanki, P. R., Singh, R. & Kumar, A. (2020). Omics technologies for improved diagnosis and treatment of colorectal cancer: Technical advancement and major perspectives. Biomedicine & Pharmacotherapy, 131, 110648. https://doi.org/10.1016/j.biopha.2020.110648.
  • Fontanesi, L. (2016). Metabolomics and livestock genomics: Insights into a phenotyping frontier and its applications in animal breeding. Animal Frontiers, 6(1), 73-79. https://doi.org/10.2527/af.2016-0011.
  • Greenwood, P. L., Bishop-Hurley, G. J., González, L. A. & Ingham, A. B. (2016). Development and application of a livestock phenomics platform to enhance productivity and efficiency at pasture. Animal Production Science, 56(8), 1299. https://doi.org/10.1071/AN15400.
  • Houle, D. (2007). A dispatch from the multivariate frontier. Journal of Evolutionary Biology, 20(1), 22-23. https://doi.org/10.1111/j.1420-9101.2006.01237.x.
  • Houle, D., Govindaraju, DR. & Omholt, S. (2010). Phenomics: the next challenge. Nature Reviews Genetics, 11(12), 855-866. https://doi.org/10.1038/nrg2897.
  • Jin, L. (2021). Welcome to the Phenomics Journal. Phenomics, 1(1), 1-2. https://doi.org/10.1007/s43657-020-00009-4.
  • McCoy, J. C. S., Spicer, J. I., Ibbini, Z. & Tills, O. (2023). Phenomics as an approach to Comparative Developmental Physiology. Frontiers in Physiology, 14. https://doi.org/10.3389/fphys.2023.1229500.
  • Mrode, R., Ekine Dzivenu, C., Marshall, K., Chagunda, M. G. G., Muasa, B. S., Ojango, J. & Okeyo, A. M. (2020). Phenomics and its potential impact on livestock development in low-income countries: innovative applications of emerging related digital technology. Animal Frontiers, 10(2), 6-11. https://doi.org/10.1093/af/vfaa002.
  • Nye, J., Zingaretti, L. M. & Pérez-Enciso, M. (2020). Estimating Conformational Traits in Dairy Cattle With DeepAPS: A Two-Step Deep Learning Automated Phenotyping and Segmentation Approach. Frontiers in Genetics, 11. https://doi.org/10.3389/fgene.2020.00513.
  • Omics (2024). What is omics. Erişim Adresi: https://omics.org/What_is_omics (Erişim Tarihi: 11.01.2024). Özbeyaz, C. & Kocakaya, A. (2011). Genomic Evaluation in Dairy Cattle (A review). Lalahan Hayvancılık Araştırma Enstitüsü Dergisi, 51(2), 93-104.
  • Pérez-Enciso, M. & Steibel, J. P. (2021). Phenomes: the current frontier in animal breeding. Genetics Selection Evolution, 53(1), 22. https://doi.org/10.1186/s12711-021-00618-1.
  • Phenomics (2024). Phenomics. Erişim Adresi: en.wikipedia.org/wiki/Phenomics (Erişim Tarihi: 11.01.2024).
  • RD-Connect (2024). Omics Data. Erişim Adresi: https://rd-connect.eu/what-we-do/omics/ (Erişim Tarihi: 11.01.2024).
  • Rexroad, C., Vallet, J., Matukumalli, L. K., Reecy, J., Bickhart, D., Blackburn, H., Boggess, M., Cheng, H., Clutter, A., Cockett, N., Ernst, C., Fulton, J. E., Liu, J., Lunney, J., Neibergs, H., Purcell, C., Smith, T. P. L., Sonstegard, T., Taylor, J. & Wells, K. (2019). Genome to Phenome: Improving Animal Health, Production, and Well-Being – A New USDA Blueprint for Animal Genome Research 2018–2027. Frontiers in Genetics, 10. https://doi.org/10.3389/fgene.2019.00327.
  • Robert, C. (2008). Challenges of functional genomics applied to farm animal gametes and pre-hatching embryos. Theriogenology, 70(8), 1277-1287. https://doi.org/10.1016/j.theriogenology.2008.06.005.
  • Seidel, A., Krattenmacher, N. & Thaller, G. (2020). Dealing with complexity of new phenotypes in modern dairy cattle breeding. Animal Frontiers, 10(2), 23-28. https://doi.org/10.1093/af/vfaa005.
  • Stamp, F., Binder, E. & Chen, A. (2018). The uncharted territory of epitranscriptomics – mRNA modifications in psychiatric disorders. www.mpg.de/12621941/psych_jb_2018.
  • Subedi, P., Moertl, S. & Azimzadeh, O. (2022). Omics in Radiation Biology: Surprised but Not Disappointed. Radiation, 2(1), 124-129. https://doi.org/10.3390/radiation2010009.
  • Sukhija, N., Kanaka, K. K., Goli, R. C., Kapoor, P., Sivalingam, J., Verma, A., Sharma, R., Tripathi, S. B. & Malik, A. A. (2023). The flight of chicken genomics and allied omics-a mini review. Ecological Genetics and Genomics, 29, 100201. https://doi.org/10.1016/j.egg.2023.100201.
  • Tills, O., Holmes, L. A., Quinn, E., Everett, T., Truebano, M. & Spicer, J. I. (2023). Phenomics enables measurement of complex responses of developing animals to global environmental drivers. Science of The Total Environment, 858, 159555. https://doi.org/10.1016/j.scitotenv.2022.159555.
  • Vailati-Riboni, M., Palombo, V. & Loor, J. J. (2017). What Are Omics Sciences? Içinde B. N. Ametaj (Ed.), Periparturient Diseases of Dairy Cows (ss. 1-7). Springer International Publishing. https://doi.org/10.1007/978-3-319-43033-1_1.
  • Vieira Ventura, R., Fonseca e Silva, F., Manuel Yáñez, J. & Brito, L. F. (2020). Opportunities and challenges of phenomics applied to livestock and aquaculture breeding in South America. Animal Frontiers, 10(2), 45-52. https://doi.org/10.1093/af/vfaa008.
  • Wikipedia. (2023). Omics. Erişim Adresi: https://en.wikipedia.org/wiki/Omics (Erişim Tarihi: 15.11.2023). Wu, X.-L., Ding, X., Zhao, Y., Miles, A. M., Brito, L. F., Heringstad, B., Zhao, S. & Jiang, Z. (2023). Editorial: Lactation genomics and phenomics in farm animals: Where are we at? Frontiers in Genetics, 14. https://doi.org/10.3389/fgene.2023.1173595.
  • Yan, S., Nagle, D. G., Zhou, Y. & Zhang, W. (2018). Application of Systems Biology in the Research of TCM Formulae. Içinde Systems Biology and its Application in TCM Formulas Research (ss. 31-67). Elsevier. https://doi.org/10.1016/B978-0-12-812744-5.00003-5.
There are 28 citations in total.

Details

Primary Language Turkish
Subjects Animal Science, Genetics and Biostatistics
Journal Section Review
Authors

Afşin Kocakaya 0000-0003-2023-8895

Bengi Cınar Kul 0000-0002-8955-0097

Publication Date August 31, 2024
Submission Date February 12, 2024
Acceptance Date June 24, 2024
Published in Issue Year 2024 Volume: 15 Issue: 2

Cite

APA Kocakaya, A., & Cınar Kul, B. (2024). YENİÇAĞDA OMİK BİLİMLER VE HAYVAN YETİŞTİRİCİLİĞİ. Veteriner Farmakoloji Ve Toksikoloji Derneği Bülteni, 15(2), 77-85. https://doi.org/10.38137/vftd.1435396