1. Pan-Omics in Sheep: Unveiling Genetic Landscapes.
- Author
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Li, Mengfei, Lu, Ying, Gao, Zhendong, Yue, Dan, Hong, Jieyun, Wu, Jiao, Xi, Dongmei, Deng, Weidong, and Chong, Yuqing
- Subjects
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SHEEP breeding , *SHEEP , *SHEEP breeds , *MERINO sheep , *MULTIOMICS , *AGRICULTURE , *MEAT quality - Abstract
Simple Summary: Panomics refers to the integration of multiple omics technologies to comprehensively examine and interpret biomolecular data at different levels. This approach facilitates the study of sheep genetics and related functions, providing valuable insights into sheep breeding, disease prevention, and treatment strategies. By analyzing the complex interactions between genes, proteins, and metabolites, we can gain a deeper understanding of sheep biology and ultimately improve productivity and reproduction. Panomics, in particular, allows for the prediction, screening, and pinpointing of animal genetic traits, overcoming the limitations of traditional breeding methods like age constraints and issues with accuracy and reliability. This advancement holds immense importance for sheep breeding and agricultural production. Multi-omics-integrated analysis, known as panomics, represents an advanced methodology that harnesses various high-throughput technologies encompassing genomics, epigenomics, transcriptomics, proteomics, and metabolomics. Sheep, playing a pivotal role in agricultural sectors due to their substantial economic importance, have witnessed remarkable advancements in genetic breeding through the amalgamation of multiomics analyses, particularly with the evolution of high-throughput technologies. This integrative approach has established a robust theoretical foundation, enabling a deeper understanding of sheep genetics and fostering improvements in breeding strategies. The comprehensive insights obtained through this approach shed light on diverse facets of sheep development, including growth, reproduction, disease resistance, and the quality of livestock products. This review primarily focuses on the application of principal omics analysis technologies in sheep, emphasizing correlation studies between multiomics data and specific traits such as meat quality, wool characteristics, and reproductive features. Additionally, this paper anticipates forthcoming trends and potential developments in this field. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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