Cold stress is an important factor affecting cattle health, production performance, and reproductive efficiency. Understanding of the potential mechanism underlying genetic adaptation to local environments, particularly extreme cold environment, is limited. Here, by using FLK and hapFLK methods, we found that the Zinc finger CCCH-type containing 10 (ZC3H10) gene underwent positive selection in the Menggu, Fuzhou, Anxi, and Shigatse humped cattle breeds that are distributed in the cold areas of China. Furthermore, ZC3H10 expression significantly increased in bovine fetal fibroblast (BFF) cells at 28 °C for 4 h. ZC3H10 knockout BFFs were generated using CRISPR/Cas9. Wild and ZC3H10-deleted BFFs were treated at two temperatures and were divided into four groups (WT, wild and cultured at 38 °C; KO, ZC3H10^−/− and 38 °C; WT_LT, wild, and 28 °C for 4 h; and KO_LT, ZC3H10^−/− and 28 °C for 4 h. A total of 466, 598, 519, and 650 differently expressed genes (two-fold or more than two-fold changes) were identified by determining transcriptomic difference (KO_LT vs. KO, WT_LT vs. WT, KO vs. WT, and KO_LT vs. WT_LT, respectively). Loss of ZC3H10 dysregulated pathways involved in thermogenesis and immunity, and ZC3H10 participated in immunity-related pathways induced by cold stress and regulated genes involved in glucose and lipid metabolism and lipid transport (PLTP and APOA1), thereby facilitating adaptability to cold stress. Our findings provide a foundation for further studies on the function of ZC3H10 in cold stress and development of bovine breeding strategies for combatting the influences of cold climate.

Porcine body length is closely related to meat production, growth, and reproductive performance, thus playing a key role in the profitability of the pork industry. Cartilage development is critical to longitudinal elongation of individual vertebrae. This study isolated primary porcine vertebral chondrocytes (PVCs) to clarify the complex mechanisms of elongation. We used transcriptome and target energy metabolome technologies to confirm crucial genes and metabolites in primary PVCs at different differentiation stages (0, 4, 8, and 12 days). Pairwise comparisons of the four stages identified 4566 differentially expressed genes (DEGs). Time-series gene cluster and functional analyses of these DEGs revealed four clusters related to metabolic processes, cartilage development, vascular development, and cell cycle regulation. We constructed a transcriptional regulatory network determining chondrocyte maturation. The network indicated that significantly enriched transcription factor (TF) families, including zf-C2H2, homeobox, TF_bZIP, and RHD, are important in cell cycle and differentiation processes. Further, dynamic network biomarker (DNB) analysis revealed that day 4 was the tipping point for chondrocyte development, consistent with morphological and metabolic changes. We found 24 DNB DEGs, including the TFs NFATC2 and SP7. Targeted energy metabolome analysis showed that most metabolites were elevated throughout chondrocyte development; notably, 16 differentially regulated metabolites (DRMs) were increased at three time points after cell differentiation. In conclusion, integrated metabolome and transcriptome analyses highlighted the importance of amino acid biosynthesis in chondrocyte development, with coordinated regulation of DEGs and DRMs promoting PVC differentiation via glucose oxidation. These findings reveal the regulatory mechanisms underlying PVC development and provide an important theoretical reference for improving pork production.

Tibetan pigs are an important indigenous genetic resource on the Qinghai-Tibetan Plateau, but their population history remains unclear. Here, we analyzed whole-genome resequencing data from 29 Tibetan pigs and 69 wild boars from different regions to investigate their genetic structure and origin. Population structure analyses showed that Tibetan pigs formed a distinct genetic cluster, but clear substructure was present among the four Tibetan pig groups. Demographic analyses indicated that all Tibetan pigs shared a similar deep ancestral background, whereas the Tibetan population from Tibet (TT) showed a distinct recent demographic trajectory relative to the other Tibetan pig groups. Model inference based on multidimensional site frequency spectra further supported a mixed origin of TT from northern and southern Asian wild boar-related ancestral components. In contrast, the other three Tibetan pig groups were best explained as lineages derived from TT after its formation. We also detected a persistent western Eurasian-related excess-sharing signal in TT, consistent with potential introgression. Selection scans identified candidate genes and pathways potentially related to hypoxia adaptation, cardiovascular function, and lung development.