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Simple Summary: Investigating the proliferation and differentiation of skeletal muscle satellite cells (MuSCs) in vitro is crucial for elucidating the underlying mechanisms of skeletal muscle development in goats. Real-time quantitative PCR (RT-qPCR) is a widely utilized technique for quantifying the expression levels of target genes. A significant challenge associated with this method is the identification of optimal reference genes for accurate normalization. In this study, we evaluated ten candidate reference genes for the standardization of gene expression. Our results indicated that RPL14 and RPS15A constituted the most stable reference gene combination during the proliferation and differentiation of goat MuSCs. The process of skeletal muscle development is intricate and involves the regulation of a diverse array of genes. Accurate gene expression profiles are crucial for studying muscle development, making it essential to choose the right reference genes for real-time quantitative PCR (RT-qPCR). In the present study, eight candidate reference genes were identified from our previous transcriptome sequencing analysis of caprine skeletal muscle satellite cells (MuSCs), and two traditional reference genes (ACTB and GAPDH) were assessed. The quantitative levels of the candidate reference genes were determined through the RT-qPCR technique, while the stability of their expression was evaluated utilizing the GeNorm, NormFinder, BestKeeper, and RefFinder programs. Furthermore, the chosen reference genes were utilized for the normalization of the gene expression levels of PCNA and Myf5. It was determined that conventional reference genes, including ACTB and GAPDH, were not appropriate for normalizing target gene expression. Conversely, RPL14 and RPS15A, identified through RNA sequencing analysis, exhibited minimal variability and were identified as the optimal reference genes for normalizing gene expression during the proliferation and differentiation of goat MuSCs. Our research offers a validated panel of optimal reference genes for the detection of differentially expressed genes in goat muscle satellite cells using RT-qPCR. [ABSTRACT FROM AUTHOR]

Muscle growth and injury-induced regeneration are controlled by skeletal muscle satellite cells (MuSCs) through myogenesis in postnatal animals. Meanwhile, myogenesis is accompanied by mitochondrial function and enzyme activity. Nevertheless, the underlying molecular mechanisms involving non-coding RNAs including circular RNAs (circRNAs) and microRNAs (miRNAs) remain largely unsolved. Here, we explored the myogenic roles of miR-145-3p and MYBL1 on muscle development and mitochondrial mass. We noticed that overexpression of miR-145-3p inhibited MuSCs proliferation and reduced the number of viable cells. Meanwhile, deficiency of miR-145-3p caused by LNAantimiR-145-3p or an inhibitor retarded the differentiation of MuSCs. miR-145-3p altered the mitochondrial mass in MuSCs. Moreover, miR-145-3p targeted and negatively regulated the expression of CDR1as and MYBL1. The knockdown of the MYBL1 using ASO-2′MOE modification simulated the inhibitory function of miR-145-3p on cell proliferation. Additionally, MYBL1 mediated the regulation of miR-145-3p on Vexin, VCPIP1, COX1, COX2, and Pax7. These imply that CDR1as/miR-145-3p/MYBL1/COX1, COX2, VCPIP1/Vexin expression at least partly results in a reduction in mitochondrial mass and MuSCs proliferation. These novel findings confirm the importance of mitochondrial mass during myogenesis and the boosting of muscle/meat development in mammals. [ABSTRACT FROM AUTHOR]

RNA editing is a posttranscriptional molecular process involved with specific nucleic modification, which can enhance the diversity of gene products. Adenosine-to-inosine (A-to-I, I is read as guanosine by both splicing and translation machinery) is the main type of RNA editing in mammals, which manifested as AG (adenosine-to-guanosine) in sequence data. Here, we aimed to explore patterns of RNA editing using RNA sequencing data from skeletal muscle at four developmental stages (three fetal periods and one postnatal period) in goat. We found the occurrences of RNA editing events raised at fetal periods and declined at the postnatal period. Also, we observed distinct editing levels of AG editing across stages, and significant difference was found between postnatal period and fetal periods. AG editing patterns in newborn goats are similar to those of 45-day embryo compared with embryo at 105 days and embryo at 60 days. In this study, we found a total of 1415 significantly differential edited AG sites among four groups. Moreover, 420 sites were obviously clustered into six time-series profiles, and one profile had significant association between editing level and gene expression. Our findings provided some novel insights into understanding the molecular mechanism of muscle development in mammals. [ABSTRACT FROM AUTHOR]

Muscle growth and development from fetal to neonatal stages consist of a series of delicately regulated and orchestrated changes in expression of genes. In this study, we performed whole transcriptome profiling based on RNA-Seq of caprine longissimus dorsi muscle tissue obtained from prenatal stages (days 45, 60, and 105 of gestation) and neonatal stage (the 3-day-old newborn) to identify genes that are differentially expressed and investigate their temporal expression profiles. A total of 3276 differentially expressed genes (DEGs) were identified ( Q value < 0.01). Time-series expression profile clustering analysis indicated that DEGs were significantly clustered into eight clusters which can be divided into two classes ( Q value < 0.05), class I profiles with downregulated patterns and class II profiles with upregulated patterns. Based on cluster analysis, GO enrichment analysis found that 75, 25, and 8 terms to be significantly enriched in biological process (BP), cellular component (CC), and molecular function (MF) categories in class I profiles, while 35, 21, and 8 terms to be significantly enriched in BP, CC, and MF in class II profiles. KEGG pathway analysis revealed that DEGs from class I profiles were significantly enriched in 22 pathways and the most enriched pathway was Rap1 signaling pathway. DEGs from class II profiles were significantly enriched in 17 pathways and the mainly enriched pathway was AMPK signaling pathway. Finally, six selected DEGs from our sequencing results were confirmed by qPCR. Our study provides a comprehensive understanding of the molecular mechanisms during goat skeletal muscle development from fetal to neonatal stages and valuable information for future studies of muscle development in goats. [ABSTRACT FROM AUTHOR]

MicroRNAs are a class of small, non-coding RNAs that participate in the regulation of diverse biological processes including skeletal muscle development. However, the underlying molecular mechanisms are not fully understood, particularly in goat. Here, we identified goat miR-101a as a novel myogenic microRNA mediating myogenic differentiation. The expression of miR-101a was enriched in goat skeletal muscles and up-regulated during satellite cell differentiation. After transfection with a miR-101a mimic and culturing in differentiation medium, satellite cell differentiation was promoted, accompanied by a significant increase in mRNA expression of the myogenic marker, MyoG , and decreased expression of MyoD . In contrast, blocking the function of miR-101a with a 2′-O-methylated antisense oligonucleotide inhibitor repressed satellite cell differentiation. However, both gain- and loss-of-function studies demonstrated that miR-101a had no significant influence on satellite cell proliferation. Therefore, our results provide a new insight on miR-101a in the regulation of goat skeletal muscle satellite cell proliferation and differentiation. [ABSTRACT FROM AUTHOR]

Non-coding RNAs have been shown to play vital roles in muscle development. However, the biological roles of long non-coding natural antisense transcripts, antisense lncRNAs (ASlncRNAs), are largely unknown in embryonic muscle development. Here, we identified a total of 466 ASlncRNAs in the longissimus dorsi muscle. And 48 differentially expressed ASlncRNAs were identified based on pairwise comparisons (P < 0.05), sixteen of which were validated by qPCR. Additionally, 466 ASlncRNAs were predicted to target 335 protein coding genes based on complementary base-pairing. Enrichment analysis suggests that ASlncRNAs may be involved in muscle development by negatively regulating the expression of target genes. Furthermore, 170 ASlncRNAs were identified as potential miRNA precursors, suggesting that these ASlncRNAs may be involved in the regulation of muscle development by producing miRNA precursors. Our results provide a catalog of goat muscle-related ASlncRNAs, and will contribute to a fuller understanding of the roles of ASlncRNAs in muscle development. • RNA-seq reveals natural antisense lncRNAs involved in embryonic muscle development of goat, and 48 differentially expressed ASlncRNAs were identified. • Functional analysis suggests that ASlncRNAs may be involved in skeletal muscle development by negatively regulating the expression of target genes and producing miRNA precursors. [ABSTRACT FROM AUTHOR]