Hindgut microorganisms in newborn calves play an important role in the development of immunity and metabolism, and optimization of performance. However, knowledge of the extent to which microbiome colonization of the calf intestine is dependent on maternal characteristics is limited. In this study, placenta, umbilical cord, amniotic fluid, colostrum, cow feces, and calf meconium samples were collected from 6 Holstein cow-calf pairs. Microbial composition was analyzed by 16S rRNA gene high-throughput sequencing, and maternal transfer characteristics assessed using SourceTracker based on Gibbs sampling to fit the joint distribution using the mean proportions of each sample with meconium as the “sink” and other sample types as different “sources.” Alpha and beta diversity analyses revealed sample type-specific microbiome features: microbial composition of the placenta, umbilical cord, amniotic fluid, colostrum, and calf feces were similar, but differed from cow feces (p < 0.05). Compared with profiles of meconium vs. placenta, meconium vs. umbilical cord, and meconium vs. colostrum, differences between the meconium and amniotic fluid were most obvious. SourceTracker analysis revealed that 23.8 ± 2.21% of the meconium OTUs matched those of umbilical cord samples, followed by the meconium-placenta pair (15.57 ± 2.2%), meconium-colostrum pair (14.4 ± 1.9%), and meconium-amniotic fluid pair (11.2 ± 1.7%). The matching ratio between meconium and cow feces was the smallest (10.5 ± 1%). Overall, our data indicated that the composition of the meconium microflora was similar compared with multiple maternal sites including umbilical cord, placenta, colostrum, and amniotic fluid. The umbilical cord microflora seemed to contribute the most to colonization of the fecal microflora of calves. Bacteria with digestive functions such as cellulose decomposition and rumen fermentation were mainly transmitted during the maternal transfer process.
MicroRNAs (miRNAs) are small noncoding RNA molecules that involve in various biological functions by regulating the expressions of target genes. In recent years, many researchers have demonstrated that miR-224 played an important role in regulating lipid metabolism. Therefore, in this study, the target genes of miR-224 were verified and the regulatory role of miR-224 was confirmed in lipid metabolism. In this study, bioinformatics methods were used for primarily predicting the target gene of miR-224 and dual-luciferase reporter system was used for further verify the relationship between miR-224 and its target gene. Then, the miR-224 mimics, miR-224 inhibitor, and miRNA-ShNC were transfected into mammary epithelial cells (MECs), respectively, and the expression of miR-224 and its target genes was detected by quantitative real-time polymerase chain reaction and Western blot. Furthermore, the triglyceride production and cell apoptosis were detected by triglyceride mensuration reagent kit using flow cytometry. The results showed that ACADM and ALDH2 were predicted to be the target genes of miR-224, primarily by bioinformatics analysis. We founded that miR-224 could recognize with ACADM-3'UTR and ALDH2-3'UTR, indicating that the target sites existed in 3'UTR of ACADM and ALDH2. And then, the expressions of miR-224 had negative trend with the levels of ACADM and ALDH2, suggesting that miR-224 could downregulate the expressions of ACADM and ALDH2. Finally, the triglyceride production decreased and apoptosis rate increased after the overexpression of miR-224 in MECs. The above results indicated that miR-224 regulating target genes in lipid metabolism might be used as a new pathway for better breeding.
In the plasma of dairy cows with 1-5 points of lameness, the mineral elements [calcium (Ca), iron (Fe), copper (Cu), zinc (Zn), iodine (I), selenium (Se), molybdenum (Mo), and chromium (Cr)], the energy metabolic indicators [triglyceride (TG), glucose (Glu), total cholesterol (CHO), nonesterified fatty acids (NEFA), β-hydroxybutyrate (BHBA), lactate (LA), and blood urea nitrogen (BUN)], and inflammatory indexes [bovine haptoglobin (BoHp), histamine (HIS), and immunoglobulin G (IgG)] were measured, respectively. Furthermore, the correlations of the measured indicators with the degrees of lameness were analyzed. The results showed that in the plasma of dairy cows with 2/3-5 points of lameness, for the mineral elements' levels, Ca, Cu, I, Se, and Fe significantly decreased, Cr significantly increased, and Mo showed a decreasing trend; for levels of the energy metabolism indicators, NEFA and BHBA significantly decreased, BUN and LA significantly increased, and Glu, CHO, and TG showed an increasing trend; for inflammation indexes, the concentrations of HIS, BoHp, and IgG all significantly increased; and further analysis indicated that the Mo, Fe, NEFA, BUN, BHBA, IgG, Ca, and Se had a significant correlation with the degrees of lameness. Resulting data revealed the changes of mineral elements, metabolism, and inflammation indexes in the plasma of dairy cows suffering from different degrees of lameness, which will provided basic knowledge for in-depth understanding of lameness in dairy cows.
Milk containing antibiotics is used as cost-effective feed for calves, which may lead to antibiotic residues-associated food safety problems. This study aims to investigate the influence of antibiotics on rumen microbes. Through metagenomic sequencing, the rumen microbial communities of calves fed with pasteurized milk containing antibiotics (B1), milk containing antibiotics (B2) and fresh milk (B3) were explored. Each milk group included calves in 2 (T1), 3 (T2) and 6 (T3) months of age. Using FastQC software and SOAPdenovo 2, the filtered data, respectively, were performed with quality control and sequence splicing. Following KEGG annotation was conducted for the uploaded sequences using KAAS software. Using R software, both species abundance analysis and differential abundance analysis were performed. In the B1 samples, the species abundance of Bacteroidetes gradually decreased along with the extension of feeding time, while that of Fibrobacteres gradually increased. The species abundances of Proteobacteria (p value = 0.01) and Spirochaetes (p value = 0.03) had significant differences among T1, T2 and T3 samples. Meanwhile, only the species abundance of Spirochaetes (p value = 0.04) had significant difference among B1, B2 and B3 samples. Cell cycle involving GSK3β, CDK2 and CDK7 was significantly enriched for the differentially expressed genes in the T1 versus T2 and T1 versus T3 comparison groups. Milk containing antibiotics might have a great influence on these rumen microbes and lead to antibiotic residues-associated food safety problems. Furthermore, GSK3β, CDK2 and CDK7 in rumen bacteria might affect milk fat metabolism in early growth stages of calves.
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