The Mammary Gland Identifies Genes and Networks in Dairy Livestock
A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Animal Genetics and Genomics".
Deadline for manuscript submissions: 15 November 2024 | Viewed by 2319
Special Issue Editor
Special Issue Information
Dear Colleagues,
The mammary gland is the most important economic organ of dairy livestock. With the development of society, especially the continuous growth of population, the worldwide demand for milk production increases constantly. An important challenge in this field is the improvement of the production performance of dairy animals using the advantage of animal nutrition and genetic breeding for the current industry. It is this challenge and consumer demand that have facilitated gene function research on the mammary gland. Recent evidence has suggested that lipid metabolism, amino acid metabolism, and carbohydrate metabolism greatly modify the development and lactation process of the mammary gland. With the advantage of a variety of omics techniques, a few genes and metabolic networks that regulate the process of development and lactation of mammary gland have been investigated. Even so, the remaining genes and gene networks that play a role in the mammary gland are unclear, hindering the process of improving dairy livestock production using genetic breeding and precision nutritional manipulation.
The aim of this Special Issue is therefore to improve our knowledge about the genes and gene pathways in dairy livestock, with special emphasis on the metabolism, development, and function of the mammary gland. We would particularly welcome manuscripts that assess gene function, new gene identification, gene networks related to metabolism, and the development of the mammary gland in dairy livestock.
Dr. Hengbo Shi
Guest Editor
Manuscript Submission Information
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Keywords
- dairy livestock
- mammary gland
- fatty acid metabolism
- amino acid metabolism
- glucose metabolism
- gene function verification
- gene identification
- gene network
