Goat milk is essential for the initial development of kids by providing a great source of commensal bacteria. In this study, we analyzed the microbiota of the milk of 30 healthy Saanen dairy goats. The 30 samples comprised 15 colostrum and 15 mature milk samples, collected from three different farms of Shaanxi Province. Colostrum samples were collected daily for five days post-delivery and mature milk was collected on the 7th, 10th, 20th, 30th, and 40th days. The result showed that microbial alpha diversity was higher in the mature milk compared with that in the colostrum. Linear discriminant analysis effect size (LEfSe) was performed to detect differentially abundant taxa in colostrum and goat milk. According to taxonomy results, Proteobacteria, Firmicutes, Actinobacteria, and Bacteroidetes were the predominant bacteria phyla in both colostrum and mature milk. In addition, lactation stage noticeably influenced the composition of milk microbiota. Specifically, Novosphingobium, Brachybacterium, Psychrobacter, Lactobacillus, Yersinia, Roseateles, Rothia, Sanguibacter, Cloacibacterium, Variovorax, Sphingobacterium, and Coxiella were enriched in the colostrum, while Georgenia, Peptostreptococcus, Bacteroidales, Yaniella, Planomicrobium, Cloacibacterium, Azospirillum, Turicibacter, Cupriavidus, Herbaspirillum, Rhodobacteraceae, and Aeromonadales were the dominant genera in the mature milk. The enriched metabolic functions of the goat milk microbiota were predicted by PICRUSt and classified by KEGG pathway. Moreover, the abundances of environmental information processing, cellular processes pathway, genetic information processing pathway, organismal systems pathway, and metabolism pathway were significantly different between microbiota of colostrum and mature milk. Altogether, our study disclosed the significant difference between the microbial communities of colostrum and mature milk and provided grounds for further research in dairy microbiology.

Background: Mongolia has the highest incidence of liver cancer worldwide, largely driven by a high prevalence of hepatitis virus infections. Mutations in oncogenes and tumor suppressor genes provide valuable insights into the molecular mechanisms of hepatocellular carcinoma (HCC). Aims: This study aimed to investigate the prevalence of mutations in key oncogenes and tumor suppressor genes in Mongolian HCC patients and to explore their molecular mechanisms, particularly in relation to hepatitis virus infections. Methods and Results: We analyzed 55 tumor tissue samples from Mongolian HCC patients (2019–2021), identifying mutations in TP53 , CTNNB1 , AXIN1 , KRAS , and JAK1 through sequencing. Western blotting was used to assess β‐catenin and p53 protein levels. Our findings showed p53 overexpression in tumors with TP53 mutations (F270I and S362S), while mutations such as R213* and a short‐sequence deletion upstream of intron 7 produced premature stop codons, resulting in truncated p53 and loss of tumor suppressor function. β‐catenin accumulation was observed in tumors with CTNNB1 mutations (D32N/Y, S33C/Y, S34V, S37P, T41A, and S45P). CCND1 expression, a key target of the Wnt/β‐catenin pathway, was significantly upregulated in tumors harboring CTNNB1 and AXIN1 mutations ( p = 0.02213). Statistical analysis revealed a positive correlation between β‐catenin and CCND1 expression levels ( r = 0.42703). Hepatitis virus infections were significantly associated with these mutations ( p < 0.01), suggesting a link between viral infection and genetic alterations in HCC development. Compared to TCGA data, our cohort displayed a significantly higher mutation frequency ( p < 0.001 and p < 0.05), indicating potential regional genetic and environmental influences. Conclusion: This study provides insights into the molecular mechanisms of HCC in Mongolia, highlighting distinct mutational patterns in TP53 , CTNNB1 , AXIN1 , and KRAS . The association between hepatitis virus infections and these mutations underscores their potential oncogenic impact and may inform future therapeutic strategies for HCC in this population.

The extracellular polysaccharide (EPS) matrix embedding microbial cells and soil particles plays an important role in the development of biological soil crusts (BSCs), which is widely recognized as beneficial to soil fertility in dryland worldwide. This study examined the EPS-producing bacterial strains YL24-1 and YL24-3 isolated from sandy soil in the Mu Us Desert in Yulin, Shaanxi province, China. The strains YL24-1 and YL24-3 were able to efficiently produce EPS; the levels of EPS were determined to be 257.22 μg/mL and 83.41 μg/mL in cultures grown for 72 h and were identified as Sinorhizobium meliloti and Pedobacter sp., respectively. When the strain YL24-3 was compared to Pedobacter yulinensis YL28-9^T using 16S rRNA gene sequencing, the resemblance was 98.6% and the strain was classified as Pedobacter sp. using physiological and biochemical analysis. Furthermore, strain YL24-3 was also identified as a subspecies of Pedobacter yulinensis YL28-9^T on the basis of DNA–DNA hybridization and polar lipid analysis compared with YL28-9^T. On the basis of the EPS-related genes of relevant strains in the GenBank, several EPS-related genes were cloned and sequenced in the strain YL24-1, including those potentially involved in EPS synthesis, assembly, transport, and secretion. Given the differences of the strains in EPS production, it is possible that the differences in gene sequences result in variations in the enzyme/protein activities for EPS biosynthesis, assembly, transport, and secretion. The results provide preliminary evidence of various contributions of bacterial strains to the formation of EPS matrix in the Mu Us Desert.