Follicular atresia is primarily caused by breakdown to granulosa cells (GCs) due to oxidative stress (OS). MicroRNAs (miRNAs) elicit a defense response against environmental stresses, such as OS, by acting as gene-expression regulators. However, the association between miRNA expression and OS in porcine GCs (PGCs) is unclear. Here, we examined the impact of H₂O₂-mediated OS in PGCs through miRNA-Seq. We identified 22 (14 upregulated and 8 downregulated) and 33 (19 upregulated and 14 downregulated) differentially expressed miRNAs (DEmiRNAs) at 100 μM and 300 μM H₂O₂, respectively, compared with the control group. Among the DEmiRNAs, mi-192 was most induced by H₂O₂-mediated OS, and the downregulation of miR-192 alleviated PGC oxidative injury. The dual-luciferase reporter assay results revealed that miR-192 directly targeted Acvr2a. The Acvr2a level was found to be remarkably decreased after OS. Furthermore, grape seed procyanidin B2 (GSPB2) treatment significantly reduced the H₂O₂-induced upregulation of miR-192, and decreased PGC apoptosis and oxidative damage. Meanwhile, GSPB2 prevented an H₂O₂-induced increase in caspase-3 activity, which was enhanced by the application of the miR-192 inhibitor. These results indicate that GSPB2 protects against PGC oxidative injury via the downregulation of miR-192, the upregulation of Acvr2a expression, and the suppression of the caspase-3 apoptotic signaling pathway.

Background: In molecular biology studies, the selection of optimal reference genes is of vital importance for accurately quantifying gene expression. The purpose of the present study was to screen the most stable reference genes in different muscle tissues of New Zealand white rabbits and Yufeng yellow rabbits. Methods and results: Results indicated that the most stable reference genes in the muscle tissues of New Zealand white rabbits were HPRT1, ACTB and PPIC, while HPRT1, PPIC, and RPL13A were the most stable reference genes in muscle tissues of Yufeng yellow rabbits. However, in the longissimus dorsi muscle and the abdominal wall muscle of both varieties, the most stable reference genes were HPRT1, RPL13A, and SDHA. In the quadriceps femoris muscle, the most stable reference genes were ACTB, HPRT1, and SDHA. Furthermore, the relative abundance of MYOG, MYH3 and MSTN was used to confirm the suitability and reliability of the selected most stable reference genes and the most unstable reference gene. Results revealed the same expression patterns of these myogenic genes when normalized according to the most stable genes, while normalization against the unstable reference gene altered the observed expression patterns. Conclusions: Taken together, our results demonstrated that the most stable reference genes varied among different muscle tissues and different breeds of rabbits. However, HPRT1, PPIC and SDHA presented high stability among all examined reference genes; thus, the combined analysis of HPRT1/ PPIC/ SDHA gene provides the best reference for RT-qPCR in muscle tissues of New Zealand white rabbits and Yufeng yellow rabbits, while HPRT1 is a better choice than other reference genes when using a single reference gene to assess target gene expression. Our results provide basic data for better measuring target gene expression profiles in muscle tissues of rabbits.

LncRNAs are essential for regulating skeletal muscle. However, the expression profile and function of lncRNAs in goat muscle remains unclear. Here, an average of ~14.58 Gb high-quality reads were obtained from longissimus dorsi tissues of 1-month-old (n = 3) and 9-month-old (n = 3) Wu’an black goats using RNA sequencing. Of a total of 3441 lncRNAs, 1281 were lincRNAs, 805 were antisense lncRNAs, and 1355 were sense_overlapping lncRNAs. These lncRNAs shared some properties with goats, such as fewer exons, shorter transcript, and open reading frames (ORFs) length. Among them, 36 differentially expressed lncRNAs (DE lncRNA) were identified, and then 10 random lncRNAs were validated by RT-qPCR. Furthermore, 30 DE lncRNAs were neighboring 71 mRNAs and several genes were functionally enriched in muscle development-related pathways, such as APC, IFRD1, NKX2-5, and others. Additionally, 36 DE lncRNAs and 2684 mRNAs were included in co-expression interactions. A lncRNA-miRNA-mRNA network containing 4 lncRNAs, 3 miRNAs, and 8 mRNAs was finally constructed, of which XR_001296113.2 might regulate PDLIM7 expression by interaction with chi-miR-1296 to affect skeletal muscle development. This study revealed the expression profile of goat lncRNAs for further investigative studies and provides a fuller understanding of skeletal muscle development.

(1) Background: Copy number variation (CNV) is a critical component of genome structural variation and has garnered significant attention. High-throughput screening of the KCNJ15 gene has revealed a correlation between the CNV region and the growth traits of goats. We aimed to identify the CNV of the KCNJ15 gene in five goat breeds and analyze its association with growth characteristics. (2) Methods: We utilized 706 goats from five breeds: Guizhou black goat (GZB), Guizhou white goat (GZW), Bohuai goat (BH), Huai goat (HH), and Taihang goat (TH). To evaluate the number of copies of the KCNJ15 gene using qPCR, we analyzed the correlation between the CNV and growth characteristics and then used a universal linear model. The findings revealed variations in the distribution of different copy number types among the different goat breeds. (3) Results: Association analysis revealed a positive influence of the CNV in the KCNJ15 gene on goat growth. In GZB, individuals with duplication types exhibited superior performance in terms of cannon bone circumference (p < 0.05). In HH, individuals with duplication types exhibited superior performance in terms of body slanting length (p < 0.05). Conversely, normal TH demonstrated better body height and body weight (p < 0.05), while in GZW, when CN = 3, it performed better than other types in terms of body weight and chest circumference (p < 0.05). However, in BH, it had no significant effect on growth traits. (4) Conclusions: We confirmed that the CNV in the KCNJ15 gene significantly influences the growth characteristics of four distinct goat breeds. The correlation between KCNJ15 gene CNVs and goat growth traits offers valuable insights to breeders, enabling them to employ precise and efficient breeding methods that enhance livestock welfare, productivity, and overall economic benefits in the industry.

To address global protein shortages, black soldier fly (Hermetia illucens L.) larvae (BSFL) can be used as a sustainable feed alternative, with nutritional quality dependent on rearing substrates. This study compared quail feed (QF), food waste (FW), and quail manure (QM) for BSFL cultivation. Larvae raised on FW and QM had higher crude protein content (47.5–48.3%) than the QF group, while QF-reared larvae contained more fat (33.2%) than the other groups. QM led to larvae with the highest mineral content, and larvae from the FW group showed elevated calcium levels (5.6%). The FW-reared larvae also demonstrated superior growth, with a yield of 186.3 g/kg and a dry-matter conversion rate of 13.7%. Multi-omics analyses indicated substrate-specific differences in gut microbiota and metabolic pathways. FW promoted beneficial bacteria such as Lactobacillus, enhancing nutrient assimilation, while QF and QM upregulated lipid and mineral processing. For sustainable protein production through BSFL rearing, FW was the most suitable substrate among the three tested, offering a balanced combination of high larval protein content and efficient growth.

Bohuai goat is a crossbreeding breed between Huai goat and Boer goat, which has higher meat yield and reproductive efficiency. To explore the genetic basis of these traits, we sequenced the whole genome of 289 samples from 8 Chinese local goat populations and Boer goats. Through variation detection and genetic diversity analysis, we identified 68,166,098 SNPs and assessed genetic diversity parameters such as nucleotide diversity, linkage disequilibrium, and homozygous regions (ROH). The analysis of population structure showed that there was a close genetic relationship between Bohuai goat and Boer goat, which was significantly different from that of Chinese native breeds. Fst, Pi_ratio and XPEHH methods were used to analyze the low reproduction rate population of Bohuai goat.. We found a strong selection in a region of BMPR1B on chr6, which may be associated with the high fertility of Bohuai goats and was also detected in the Vst. In addition, a CNVR fragment (GLIS3 gene) was found to be associated with spermatogenesis in the detection of CNV analysis. Our results provide insights for understanding the genetic diversity and selection of reproductive traits of Bohuai goats. They also offer evidence for the correlation between the BMPR1B gene and reproductive traits and provide information for molecular breeding strategies of other goat breeds.