Advancements in Genetic Marker Exploration for Livestock Vertebral Traits with a Focus on China

Author:

Khan Muhammad Zahoor1,Chen Wenting1,Huang Bingjian1,Liu Xiaotong1,Wang Xinrui1,Liu Yihong1,Chai Wenqiong1,Wang Changfa1

Affiliation:

1. Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 522000, China

Abstract

In livestock breeding, the number of vertebrae has gained significant attention due to its impact on carcass quality and quantity. Variations in vertebral traits have been observed across different animal species and breeds, with a strong correlation to growth and meat production. Furthermore, vertebral traits are classified as quantitative characteristics. Molecular marker techniques, such as marker-assisted selection (MAS), have emerged as efficient tools to identify genetic markers associated with vertebral traits. In the current review, we highlight some key potential genes and their polymorphisms that play pivotal roles in controlling vertebral traits (development, length, and number) in various livestock species, including pigs, donkeys, and sheep. Specific genetic variants within these genes have been linked to vertebral development, number, and length, offering valuable insights into the genetic mechanisms governing vertebral traits. This knowledge has significant implications for selective breeding strategies to enhance structural characteristics and meat quantity and quality in livestock, ultimately improving the efficiency and quality of the animal husbandry industry.

Funder

National Key R&D Program of China

Shandong Province Modern Agricultural Technology System Donkey Industrial Innovation Team

Livestock and Poultry Breeding Industry Project of the Ministry of Agriculture and Rural Affairs

National Natural Science Foundation of China

Open Project of Liaocheng University Animal Husbandry Discipline

Open Project of Shandong Collaborative Innovation Center for Donkey Industry Technology

Research on Donkey Pregnancy Improvement

Liaocheng University scientific research fund

Publisher

MDPI AG

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