Zhang Xiangyu, Zhang Kai, Huang Dengping, Yang Shangjun, Zhang Min, Yin Qin
Sichuan Academy of Science Academy, Chengdu, 610066, China.
Animal Breeding and Genetics Key Laboratory of Sichuan Province, Chengdu, 610066, China.
BMC Genom Data. 2025 Apr 23;26(1):32. doi: 10.1186/s12863-025-01322-5.
The Sichuan white rabbit is a unique domestic breed and is famous for its high meat production. Muscle development is a complicated biological process, but the underlying regulatory mechanisms have not been elucidated. Here, we generated comprehensive transcriptome datasets (i.e., mRNAs, miRNAs and lncRNAs) in three developmental stages of Sichuan white rabbits, and aim to systematically explore the regulatory network in myogenesis.
We generated extensive transcriptome datasets (mRNAs, miRNAs and lncRNAs) revealing the myogenic regulatory network at different time points. Our differential expression analysis identified 2,995 DE genes, 1,211 DE-lncRNAs, and 305 DE-miRNAs with distinct expression patterns across developmental stages. In addition, functional enrichment analysis of DE mRNAs and miRNAs indicates their involvement in muscle growth, development, and regeneration, highlighting biological processes and muscle-specific functions. Interaction analysis between DE-lncRNAs and mRNAs uncovered a complex regulatory network, especially between 21 and 27 days of development. These findings contribute to better understanding of the transcriptomic changes during muscle development and have implications for breeding improvement in Sichuan white rabbits.
Our study provides a comprehensive overview of the transcriptomic changes during muscle development in Sichuan white rabbits. The identification and functional annotation of DE genes, miRNAs, and lncRNAs provide valuable insights into the molecular mechanisms underlying this process. These findings pave the way for targeted investigations into the role of non-coding RNAs in muscle biology.
四川白兔是一种独特的家兔品种，以其高产肉性能而闻名。肌肉发育是一个复杂的生物学过程，但其潜在的调控机制尚未阐明。在此，我们生成了四川白兔三个发育阶段的综合转录组数据集（即mRNA、miRNA和lncRNA），旨在系统地探索肌肉生成中的调控网络。
我们生成了大量转录组数据集（mRNA、miRNA和lncRNA），揭示了不同时间点的肌肉生成调控网络。我们的差异表达分析确定了2995个差异表达基因、1211个差异表达lncRNA和305个差异表达miRNA，它们在发育阶段具有不同的表达模式。此外，对差异表达mRNA和miRNA的功能富集分析表明它们参与了肌肉生长、发育和再生，突出了生物学过程和肌肉特异性功能。差异表达lncRNA与mRNA之间的相互作用分析揭示了一个复杂的调控网络，特别是在发育的21至27天之间。这些发现有助于更好地理解肌肉发育过程中的转录组变化，并对四川白兔的育种改良具有重要意义。
我们的研究全面概述了四川白兔肌肉发育过程中的转录组变化。差异表达基因、miRNA和lncRNA的鉴定及功能注释为这一过程的分子机制提供了有价值的见解。这些发现为有针对性地研究非编码RNA在肌肉生物学中的作用铺平了道路。
