The objective of this research was to examine the effects and underlying mechanisms of forced molting on the laying rate of hens. A total of ninety 500-day-old laying hens were randomly assigned to three groups: a control group (CK), a starvation group (SG), and a recovery group (RG). The study evaluated follicular development in hens and measured the expression levels of antioxidant, lipid, and inflammatory factors in their serum. Additionally, transcriptomic and metabolomic analyses were performed to assess the effects of forced molting on gene expression and metabolic profiles in hens. The findings indicated that forced molting led to an increase of laying rates, a reduction in follicular closure, and a significant rise in the levels of antioxidant enzymes such as GSH, CAT, and SOD, alongside a decrease in MDA levels. Furthermore, there were significant reductions in the blood lipid levels of LDL, HDL, TC, and TG. Additionally, there were notable differences in the inflammatory markers TNF-α, IL-1, and IL-6. The transcriptomic and metabolomic data revealed that forced molting influenced the activation of the PI3K-AKT and mTOR signaling pathways, affecting fatty acid metabolism in laying hens and modulating the expression of associated genes. In conclusion, this study demonstrates that forced molting is an effective strategy for enhancing the laying rate of hens. Furthermore, it provides a valuable theoretical framework for advancing breeding practices aimed at improving egg production.
The mechanism of egg production improvement in laying hens before and after molting revealed by transcriptome and metabolome integration.
通过转录组和代谢组整合揭示蛋鸡换羽前后产蛋量提高的机制
阅读:12
作者:Sun Mengqing, Wang Hailing, Zhu Xinyu, Zhang Xiaohan, Min Yahong, Ge Ming, Jiang Xiaowen, Yu Wenhui
| 期刊: | Poultry Science | 影响因子: | 4.200 |
| 时间: | 2025 | 起止号: | 2025 Jul;104(7):105125 |
| doi: | 10.1016/j.psj.2025.105125 | 研究方向: | 代谢 |
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
