A novel 17 bp InDel polymorphism within the PPARGC1A gene is significantly associated with growth traits in sheep

Identification of Functional Variants Between Tong Sheep and Hu Sheep by Whole-Genome Sequencing Pools of Individuals

Tong sheep, known for their superior meat quality and disease resilience, face breeding challenges due to low prolificacy, unlike Hu sheep, which exhibit higher fertility and growth rates. This study identified over 700,000 genetic variants between these breeds through pooled whole-genome sequencing. Functional analysis reveals key differences in pathways related to fat metabolism, insulin signaling, and cell cycle regulation. Notable findings include unique microRNA variants (miR-1185-3p in Tong sheep and miR-487-5p in Hu sheep), with the miR-487-5p mutation potentially regulating KITLG, a fertility-related gene. These results suggest that non-coding RNA mutations contribute to phenotypic differences and provide a genomic foundation for molecular-assisted selection to improve Tong sheep breeding programs.

Detection of key gene InDels in JAK/STAT pathway and their associations with growth traits in four Chinese sheep breeds

OBJECTIVE

The Janus kinase/signal transducer and transporter activator (JAK/STAT) signaling pathway plays crucial roles in lipid metabolism, glucose metabolism and cell senescence, suggesting that they are potential candidate genes affecting growth traits in animals. The present study aimed to evaluate the association between InDels in the JAK/STAT pathway and growth traits of four Chinese sheep breeds, including Tong sheep, Hu sheep, Small-tailed Han sheep and Lanzhou fat-tailed sheep.

RESULTS

Seventy-six indel loci of 11 genes in JAK/STAT were detected, and three genotypes were selected at four loci by PCR amplification, electrophoresis and sequencing, including one locus in STAT3, one locus in STAT5A, and two loci in JAK1. The Correlation analysis indicated that there was no significant correlation between STAT3 and growth traits in four sheep breeds (P > 0.05); STAT5A was significantly associated with body height, rump width and tube circumference in Hu sheep and body length in Tong sheep (P < 0.05); JAK1 was significantly correlated with body height, body oblique length, cross height and tube circumference in Hu sheep (P < 0.05) and body oblique length, cross height and tube circumference in small-tailed Han sheep (P < 0.05).

CONCLUSION

Overall, our results indicated a potential association between the growth traits of sheep and the InDels of JAK1 and STAT5A.

Exploring the Impact of Insertion/Deletion in FTO and PLIN1 Genes on Morphometric Traits in Sheep

This study aimed to identify InDels from the FTO and PLIN1 genes and to analyze their association with morphometric traits in Hu sheep (HS), Dupor sheep (DS), and Small Tail Han sheep (STHS). The FTO and PLIN1 genes were genotyped using the insertion/deletion (InDel) method. A one-way ANOVA with SPSS 26.0 software (IBM Corp, Armonk, NY, USA) was used to assess the effect of the InDel FTO and PLIN1 genes on morphometric traits. The results revealed significant associations between certain InDels and the morphometric traits in different breeds of sheep. Specifically, FTO-2 was significantly associated with cannon circumference (CaC) in HS rams and body height (BoH) in HS ewes (p < 0.05). FTO-2 was also significantly associated with chest width (ChW), CaC, head length (HeL), and coccyx length (CoL) in the STHS breed (p < 0.05). FTO-3 showed significant associations with BoH in HS rams and BoH, back height (BaH), ChW, and chest depth (ChD) in HS ewes (p < 0.05). FTO-3 was also significantly associated with ChW in the DS and STHS breeds (p < 0.05). FTO-5 was significantly associated with body weight (BoW) in the DS breed and BoH in the STHS breed (p < 0.05). Furthermore, PLIN1 was significantly related to BoW in the DS breed and was significantly associated with CoL and forehead width (FoW) in the STHS breed (p < 0.05). In conclusion, the study suggested that InDels in the FTO and PLIN1 genes could provide practical information to improve morphometric traits in sheep breeding.

CRISPR/Cas9-Mediated Knockout of miR-130b Affects Mono- and Polyunsaturated Fatty Acid Content via PPARG-PGC1α Axis in Goat Mammary Epithelial Cells

MicroRNA (miRNA)-130b, as a regulator of lipid metabolism in adipose and mammary gland tissues, is actively involved in lipogenesis, but its endogenous role in fatty acid synthesis remains unclear. Here, we aimed to explore the function and underlying mechanism of miR-130b in fatty acid synthesis using the CRISPR/Cas9 system in primary goat mammary epithelial cells (GMEC). A single clone with deletion of 43 nucleotides showed a significant decrease in miR-130b-5p and miR-130b-3p abundances and an increase of target genes PGC1α and PPARG. In addition, knockout of miR-130b promoted triacylglycerol (TAG) and cholesterol accumulation, and decreased the proportion of monounsaturated fatty acids (MUFA) C16:1, C18:1 and polyunsaturated fatty acids (PUFA) C18:2, C20:3, C20:4, C20:5, C22:6. Similarly, the abundance of fatty acid synthesis genes ACACA and FASN and transcription regulators SREBP1c and SREBP2 was elevated. Subsequently, interference with PPARG instead of PGC1α in knockout cells restored the effect of miR-130b knockout, suggesting that PPARG is responsible for miR-130b regulating fatty acid synthesis. Moreover, disrupting PPARG inhibits PGC1α transcription and translation. These results reveal that miR-130b directly targets the PPARG-PGC1α axis, to inhibit fatty acid synthesis in GMEC. In conclusion, miR-130b could be a potential molecular regulator for improving the beneficial fatty acids content in goat milk.

Detection of selection signatures in South African Mutton Merino sheep using whole-genome sequencing data

The South African Mutton Merino (SAMM), a dual-purpose (meat and wool) sheep breed, is characterized by its excellent performance on growth, carcass traits and meat quality compared to other fine-wool Merino breeds. Nowadays, the SAMM breed has been widely used to cross with commercial and indigenous fine-wool or coarse-wool breeds to improve the growth and meat performance in many countries. To date, however, little is known about the genetic basis for its prominent characteristics. In this study, whole-genome sequences of 10 SAMM were sequenced and the selection signatures were analyzed together with those of 39 Australian Merino and Chinese Merino (wool-type Merino) by F_ST , iHS, and XP-EHH methods. In total, 313 genes in 277 regions were identified by at least 2 methods with the signal of selection and 21 of them were identified by all three methods. We highlighted a list of interesting genes, including GHR, LCORL, SMO, NCAPG, DCC, IBSP, PPARGC1A, PACRGL, PRDM5, XYLB, AHCYL2, TEFM, AFG1L, and FAM184B, which have been shown to be involved in growth, carcass traits, and meat quality by previous studies. Herein, GHR, encoding a transmembrane receptor for growth hormone, is the most notable one. We report the first study on selection signatures analysis of SAMM at whole-genome sequence level. These results provide new insights into the genetic mechanisms underlying the growth and carcass traits in SAMM.

Genome-Wide Association Studies for Growth Curves in Meat Rabbits Through the Single-Step Nonlinear Mixed Model

Growth is a complex trait with moderate to high heritability in livestock and must be described by the longitudinal data measured over multiple time points. Therefore, the used phenotype in genome-wide association studies (GWAS) of growth traits could be either the measures at the preselected time point or the fitted parameters of whole growth trajectory. A promising alternative approach was recently proposed that combined the fitting of growth curves and estimation of single-nucleotide polymorphism (SNP) effects into single-step nonlinear mixed model (NMM). In this study, we collected the body weights at 35, 42, 49, 56, 63, 70, and 84 days of age for 401 animals in a crossbred population of meat rabbits and compared five fitting models of growth curves (Logistic, Gompertz, Brody, Von Bertalanffy, and Richards). The logistic model was preferably selected and subjected to GWAS using the approach of single-step NMM, which was based on 87,704 genome-wide SNPs. A total of 45 significant SNPs distributed on five chromosomes were found to simultaneously affect the two growth parameters of mature weight (A) and maturity rate (K). However, no SNP was found to be independently associated with either A or K. Seven positional genes, including KCNIP4, GBA3, PPARGC1A, LDB2, SHISA3, GNA13, and FGF10, were suggested to be candidates affecting growth performances in meat rabbits. To the best of our knowledge, this is the first report of GWAS based on single-step NMM for longitudinal traits in rabbits, which also revealed the genetic architecture of growth traits that are helpful in implementing genome selection.

Naringin induces skeletal muscle fiber type transformation via AMPK/PGC-1α signaling pathway in mice and C2C12 myotubes

A large number of studies have shown that polyphenols can regulate skeletal muscle fiber type transformation through AMPK signal. However, the effects and mechanism of naringin (a natural polyphenol) on muscle fiber type transformation still remains unclear. Thus, we hypothesized that naringin would induce the transformation of skeletal muscle fibers from type II to type I by AMPK signaling. C2C12 myotubes and BALB/c mice models were used to test this hypothesis. We found that naringin significantly increased the protein expression of slow myosin heavy chain (MyHC), myoglobin and troponin I type I slow skeletal (Troponin I-SS) and the activities of succinate dehydrogenase (SDH) and malate dehydrogenase (MDH), and significantly decreased fast MyHC protein expression and lactate dehydrogenase (LDH) activity, accompanied by the activation of AMPK and the activity of peroxisome proliferator activated receptor-γ coactivator-1α (PGC-1α) in mice and C2C12 myotubes. Further inhibition of AMPK activity by compound C showed that the above effects were significantly inhibited in C2C12 myotubes. In conclusion, naringin promotes the transformation of skeletal muscle fibers from type II to type I through AMPK/PGC-1α signaling pathway, which not only enriches the nutritional and physiological functions of naringin, but also provides a theoretical basis for the regulation of muscle fiber type transformation by nutritional approaches.

Genome-Wide Association Study Identifies 12 Loci Associated with Body Weight at Age 8 Weeks in Korean Native Chickens

Meat from Korean native chickens (KNCs) has high consumer demand; however, slow growth performance and high variation in body weight (BW) of KNCs remain an issue. Genome-wide association study (GWAS) is a powerful method to identify quantitative trait-associated genomic loci. A GWAS, based on a large-scale KNC population, is needed to identify underlying genetic mechanisms related to its growth traits. To identify BW-associated genomic regions, we performed a GWAS using the chicken 60K single nucleotide polymorphism (SNP) panel for 1328 KNCs. BW was measured at 8 weeks of age, from 2018 to 2020. Twelve SNPs were associated with BW at the suggestive significance level (p < 2.95 × 10⁻⁵) and located near or within 11 candidate genes, including WDR37, KCNIP4, SLIT2, PPARGC1A, MYOCD and ADGRA3. Gene set enrichment analysis based on the GWAS results at p < 0.05 (1680 SNPs) showed that 32 Gene Ontology terms and two Kyoto Encyclopedia of Genes and Genomes pathways, including regulation of transcription, motor activity, the mitogen-activated protein kinase signaling pathway, and tight junction, were significantly enriched (p < 0.05) for BW-associated genes. These pathways are involved in cell growth and development, related to BW gain. The identified SNPs are potential biomarkers in KNC breeding.