Association between copy number variation of SERPINA3-1 gene and growth traits in Chinese cattle.

Serpin peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin), member 3 (SERPINA3) belongs to the serine protease inhibitor family A subtype, and contains 8 genes from SERPINA3-1 to SERPINA3-8. Although the regulatory effects of these 8 genes have been revealed one by one in recent years, the related effects of SERPINA3-1 gene on cattle growth is still unclear. This study used quantitative Real time PCR (qPCR) to detect the type of copy number variation (CNV) of SERPINA3-1 gene in a total of 542 Chinese cattle, and expression of SERPINA3-1 gene in different tissues of Qinchuan cattles (adult) on mRNA level. Then association analysis was conducted between the detection results and cattle growth traits. The results showed that the Duplication type in SERPINA3-1 gene performed better on the growth traits and the CNV was significantly correlated with multiple growth traits (p < 0.05). In addition, SERPINA3-1 gene has different expression conditions in different tissues, results showed that SERPINA3-1 gene has a low expression in muscle. In conclusion, we speculate that the SERPINA3-1 gene can be used as a molecular marker and the result of this study could be a basic material for candidate functional genes for beef cattle growth and development.

In order to detect the gene expression diversification of the SERPINA3-1 gene, blood samples were collected from five Chinese cattle breeds, we detected related signal and made an associated analyze with cattle growth traits. We determined the copy number variation distribution of the SERPINA3-1 gene in cattle populations and found that the SERPINA3-1 gene has a certain promoting effect on the growth and development of Chinese cattle. For example, Pinan cattle with Duplication type copy number have a better performance on growth traits. This study has enriched the candidate genes of Chinese cattle molecular breeding and provided basic data for Chinese cattle breeding.

First report and genetic characterization of bovine torovirus in diarrhoeic calves in China.

BACKGROUND: Coronaviruses are notorious pathogens that cause diarrheic and respiratory diseases in humans and animals. Although the epidemiology and pathogenicity of coronaviruses have gained substantial attention, little is known about bovine coronavirus in cattle, which possesses a close relationship with human coronavirus. Bovine torovirus (BToV) is a newly identified relevant pathogen associated with cattle diarrhoea and respiratory diseases, and its epidemiology in the Chinese cattle industry remains unknown. RESULTS: In this study, a total of 461 diarrhoeic faecal samples were collected from 38 different farms in three intensive cattle farming regions and analysed. Our results demonstrated that BToV is present in China, with a low prevalence rate of 1.74% (8/461). The full-length spike genes were further cloned from eight clinical samples (five farms in Henan Province). Phylogenetic analysis showed that two different subclades of BToV strains are circulating in China. Meanwhile, the three BToV strains identified from dairy calves, 18,307, 2YY and 5YY, all contained the amino acid variants R614Q, I801T, N841S and Q885E. CONCLUSIONS: This is the first report to confirm the presence of BToV in beef and dairy calves in China with diarrhea, which extend our understanding of the epidemiology of BToVs worldwide.

Genetic and phylogenetic analyses of the first GIII.2 bovine norovirus in China.

BACKGROUND: Norovirus (NoV) is recognized as a highly contagious enteric pathogen of mammals, and bovine norovirus (BNoV) is associated with calf diarrhoea and has caused great economic losses in the cattle industry. RESULTS: Here, we describe a case of emerging calf diarrhoea on a cattle farm in Henan Province, Central China. BNoV was the only enteric pathogen detected in outbreaks according to tests for enteric viruses, bacteria and parasites. The complete genome of the newly identified strain CH-HNSC-2018 was successfully sequenced and found to be 7342 nucleotides in length. Sequence and phylogenetic analyses revealed that CH-HNSC-2018 belongs to GIII.2 BNoV. Further analysis of the major capsid protein demonstrated that it is separated by specific genetic distances from previous BNoV strains identified in China and has 4 new amino acid (aa) mutations, 134A, 327 T, 380 L and 423A, in the VP1 protein and 11 aa substitutions in the hypervariable P2 subdomain, suggesting that the BNoV strains circulating in China are diverse. CONCLUSIONS: This is the first detection of GIII.2 BNoV in the VP1 region in China. This report should form a basis for further molecular studies on NoV and bovine enteric viruses in China.

Multi-omics strategy reveals potential role of antimicrobial resistance and virulence factor genes responsible for Simmental diarrheic calves caused by Escherichia coli.

Escherichia coli (E. coli) is reported to be an important pathogen associated with calf diarrhea. Antibiotic resistance genes (ARGs) and virulence factor genes (VFGs) pose a considerable threat to both animal and human health. However, little is known about the characterization of ARGs and VFGs presented in the gut microbiota of diarrheic calves caused by E. coli. In this study, we used multi-omics strategy to analyze the ARG and VFG profiles of Simmental calves with diarrhea caused by E. coli K99. We found that gut bacterial composition and their microbiome metabolic functions varied greatly in diarrheic calves compared to healthy calves. In total, 175 ARGs were identified, and diarrheal calves showed a significantly higher diversity and abundance of ARGs than healthy calves. Simmental calves with diarrhea showed higher association of VFGs with pili function, curli assembly, and ferrienterobactin transport of E. coli. Co-occurrence patterns based on Pearson correlation analysis revealed that E. coli had a highly significant (P < 0.0001) correlation coefficient (>0.8) with 16 ARGs and 7 VFGs. Metabolomics analysis showed that differentially expressed metabolites in Simmental calves with diarrhea displayed a high correlation with the aforementioned ARGs and VFGs. Phylotype analysis of E. coli genomes showed that the predominant phylogroup B1 in diarrheic Simmental calves was associated with 10 ARGs and 3 VFGs. These findings provide an overview of the diversity and abundance of the gut microbiota in diarrheic calves caused by E. coli and pave the way for further studies on the mechanisms of antibiotic resistance and virulence in the calves affected with diarrhea.IMPORTANCESimmental is a well-recognized beef cattle breed worldwide. They also suffer significant economic losses due to diarrhea. In this study, fecal metagenomic analysis was applied to characterize the antibiotic resistance gene (ARG) and virulence factor gene (VFG) profiles of diarrheic Simmental calves. We identified key ARGs and VFGs correlated with Escherichia coli isolated from Simmental calves. Additionally, metabolomics analysis showed that differentially expressed metabolites in Simmental calves with diarrhea displayed a high correlation with the aforementioned ARGs and VFGs. Our findings provide an insight into the diversity and abundance of the gut microbiota in diarrheic calves caused by Escherichia coli and pave the way for further studies on the mechanisms of antibiotic resistance and virulence in the diarrheal calves from cattle hosts.

Identification and Functional Analysis of Transcriptome Profiles, Long Non-Coding RNAs, Single-Nucleotide Polymorphisms, and Alternative Splicing from the Oocyte to the Preimplantation Stage of Sheep by Single-Cell RNA Sequencing.

Numerous dynamic and complicated processes characterize development from the oocyte to the embryo. However, given the importance of functional transcriptome profiles, long non-coding RNAs, single-nucleotide polymorphisms, and alternative splicing during embryonic development, the effect that these features have on the blastomeres of 2-, 4-, 8-, 16-cell, and morula stages of development has not been studied. Here, we carried out experiments to identify and functionally analyze the transcriptome profiles, long non-coding RNAs, single-nucleotide polymorphisms (SNPs), and alternative splicing (AS) of cells from sheep from the oocyte to the blastocyst developmental stages. We found between the oocyte and zygote groups significantly down-regulated genes and the second-largest change in gene expression occurred between the 8- and 16-cell stages. We used various methods to construct a profile to characterize cellular and molecular features and systematically analyze the related GO and KEGG profile of cells of all stages from the oocyte to the blastocyst. This large-scale, single-cell atlas provides key cellular information and will likely assist clinical studies in improving preimplantation genetic diagnosis.

Whole-Genome DNA Methylation Dynamics of Sheep Preimplantation Embryo Investigated by Single-Cell DNA Methylome Sequencing.

The early stages of mammalian embryonic development involve the participation and cooperation of numerous complex processes, including nutritional, genetic, and epigenetic mechanisms. However, in embryos cultured in vitro, a developmental block occurs that affects embryo development and the efficiency of culture. Although the block period is reported to involve the transcriptional repression of maternal genes and transcriptional activation of zygotic genes, how epigenetic factors regulate developmental block is still unclear. In this study, we systematically analyzed whole-genome methylation levels during five stages of sheep oocyte and preimplantation embryo development using single-cell level whole genome bisulphite sequencing (SC-WGBS) technology. Then, we examined several million CpG sites in individual cells at each evaluated developmental stage to identify the methylation changes that take place during the development of sheep preimplantation embryos. Our results showed that two strong waves of methylation changes occurred, namely, demethylation at the 8-cell to 16-cell stage and methylation at the 16-cell to 32-cell stage. Analysis of DNA methylation patterns in different functional regions revealed a stable hypermethylation status in 3'UTRs and gene bodies; however, significant differences were observed in intergenic and promoter regions at different developmental stages. Changes in methylation at different stages of preimplantation embryo development were also compared to investigate the molecular mechanisms involved in sheep embryo development at the methylation level. In conclusion, we report a detailed analysis of the DNA methylation dynamics during the development of sheep preimplantation embryos. Our results provide an explanation for the complex regulatory mechanisms underlying the embryo developmental block based on changes in DNA methylation levels.

Genetic effects of MOGAT1 gene SNP in growth traits of Chinese cattle.

Single nucleotide polymorphism (SNP) has recently become one of the ideal genetic markers. SNP refers to the DNA sequence polymorphism caused by double nucleotide variation in the genome, including the conversion or transversion of segmented bases. The synthesis and metabolism of triglycerides are related to the changes of energy in the body of livestock, which in turn affects their growth and development. Studies have shown that MOGAT1 gene plays a role in the route of triglyceride synthesis. PCR-RFLP and agarose gel electrophoresis technology were used to type the SNP site of MOGAT1 gene at g.25940T > C in this study. Association analysis between typing results and growth trait data was detected by SPSS 20.0 software. Results show that MOGAT1 gene was in a low level of heterozygosity in Xianan, Qinchuan and Pinan cattle population (0 < PIC < 0.25), and in middle level of heterozygosity in YL cattle population(0.25 < PIC < 0.5). And genotype 'AA' was dominant gene in Chinese cattle population. In QC and XN cattle, genotype of GG possess advantage on Body weight (P < 0.05); in YL cattle, individuals with genotype of homozygous mutation decreased significantly on Chest depth (P < 0.05). The purpose of this research is to provide theoretical materials for molecular breeding of yellow cattle and to promote the process of improving the growth traits of Chinese local yellow cattle.

Identification of key bacterial populations affecting early embryonic development in cattle uterus.

Superovulation is an important animal breeding biotechnology, while the quality of embryos obtained from superovulation is unstable in cattle. The relationship between the microorganisms in the cattle uterus and embryo qualities was determined to identify the key bacterial populations affecting early embryonic development. A total of 10 Xia Nan cows underwent superovulation, we collected cervical mucus and flush samples to investigated by 16S rDNA sequencing. Results showed that there were abundant microorganisms in cervical mucus, but no obvious relationship with the quality of embryos. The clustering results of flush samples were consistent with the grouping of embryo quality. Proteobacteria accounted for more than 95% of the total bacterial community in group A with the best embryo quality (qualified embryo ratio above 0.8), and as embryo quality decreased, the Proteobacteria proportion also decreased. In contrast to the proportion of Proteobacteria, the proportions of Firmicutes and Bacteroidetes significantly increased as embryo quality decreased. For group C with the worst embryo quality, the proportions of Firmicutes and Bacteroidetes increased to 4.7 times and 12.3 times of group A, respectively. These results showed that the quantities and proportions of Firmicutes and Bacteroidetes may be related to early embryonic development in cattle.