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Abstract Background Genomic structural variations (GSVs), notably copy number variations (CNVs), significantly shape genetic diversity and facilitate adaptation in cattle populations. Despite their importance, the genome-wide characterization of CNVs in indigenous Ethiopian cattle breeds—Abigar, Fellata, and Gojjam-Highland remains largely unexplored. In this study, we applied a read-depth approach to whole genome sequencing (WGS) data to conduct the first comprehensive analysis of CNVs in these populations. Results We identified 3,893 CNV regions (CNVRs) covering 19.15 Mb (0.71% of the cattle genome). These CNVRs ranged from 1.60 kb to 488.0 kb, with an average size of 4.92 kb. These CNVRs included deletions (1713), duplications (1929), and mixed events (251) showing notable differences in distribution among the breeds. Four out of five randomly selected CNVRs were successfully validated using real time polymerase chain reaction (qPCR). Further analyses identified candidate genes associated with high-altitude adaptation (GBE1 and SOD1), heat stress adaptation (HSPA13, DNAJC18, and DNAJC8) and resistance to tick infestations (BoLA and KRT33A). In addition, variance stabilizing transformation (V ST ) statistics highlighted population-specific CNVRs, emphasizing the unique genetic signatures of high-altitude adaptation in the Gojjam-Highland cattle breed. Among the detected CNVRs, 4.93% (192 out of 3,893) overlapped with 520 quantitative traits loci (QTLs) associated with six economically important trait categories suggesting that these CNVRs may significantly contribute to the genetic variation underlying these traits. Conclusions Our comprehensive analysis reveals significant CNVRs associated with key adaptive traits in Ethiopian cattle breeds highlighting their genetic diversity and resilience. These findings offer valuable insights into the genetic basis of adaptability and can inform sustainable breeding practices and conservation efforts. Future research should prioritize the functional validation of these CNVRs and their integration into breeding programs to enhance traits such as disease resistance and environmental adaptability.

Abstract Indigenous animal genetic resources play a crucial role in preserving global genetic diversity and supporting the livelihoods of millions of people. In Ethiopia, the majority of the cattle population consists of indigenous breeds. Understanding the genetic architecture of these cattle breeds is essential for effective management and conservation efforts. In this study, we sequenced DNA samples from 70 animals from seven indigenous cattle breeds, generating about two terabytes of pair-end reads with an average coverage of 14X. The sequencing data were pre-processed and mapped to the cattle reference genome (ARS-UCD1.2) with an alignment rate of 99.2%. Finally, the variant calling process produced approximately 35 million high-quality SNPs. These data provide a deeper understanding of the genetic landscape, facilitate the identification of causal mutations, and enable the exploration of evolutionary patterns to assist cattle improvement and sustainable utilization, particularly in the face of unpredictable climate changes.

As an effective economic decision-making tool in enterprise economic management, Marginal Analysis is crucial to reflect the small change relationship between costs and benefits. This paper aims to develop a multi-objective marginal analysis optimization algorithm (MMAOA) that utilizes marginal analysis to optimize the enterprise economic management model and risk control. This algorithm's improvement of the population initialization method and constraint handling enhances the quality of understanding and search efficiency. In this study, an improved population initialization method is designed to ensure that the population is within the upper and lower limits of the output power. Then the constraints are reasonably handled by the penalty function method and the correction method to enhance the feasibility and robustness of the algorithm. Guided by the concept of Pareto optimality, MMAOA is successfully applied to multi-objective optimization problems, and the algorithm can efficiently generate a set of Pareto optimal solutions under the consideration of equilibrium constraints and inequality constraints, in which the objective function values of certain optimization instances are improved by more than 10%. Following marginal analysis, this study presents the disparity in ROI between the East and West and the three stages of agricultural economic efficiency. This article provides a new optimization tool for enterprise financial management and a quantitative analysis method for risk assessment.

Purpose. Insulin receptor (InsR) sensitizers represent a new type of therapeutic agent for the treatment of diabetes, with 2′-O-methylperlatolic acid (2-O-M) being a potential InsR targeting drug. The purpose of this study was to determine whether 2-O-M functions as an activator of the insulin signaling pathway, regulating glucose hemostasis through the InsR and exerting a glucose-lowering effect in an animal model of diabetes. Methods. SPR-based analyses were used to detect the binding of different concentrations of 2-O-M to the InsR. The protein levels of IR-β, p-IR, AKT, and p-AKT in Hepa and C2C12 cell lines and liver and muscle tissues were determined by western blotting. Glucose uptake capacity was determined in C2C12 cells. Streptozotocin-induced diabetic mice were randomly divided into four groups: the control, insulin treated, 2-O-M treated, and combined insulin and 2-O-M treated. Mice were injected with 2-O-M or normal saline and the average blood glucose concentration after 120 min, and the serum levels of insulin, glucagon, and C-peptide were measured. Next, qRT-PCR was performed to detect the mRNA expression of genes involved in lipid and glucose metabolism in the liver and muscle tissues. Results. 2-O-M binds to the extracellular domain of the InsR. Moreover, combination treatment with 2-O-M and insulin resulted in significant activation of the insulin signaling pathway in vitro and significant stimulation of the glucose uptake capacity of C2C12 myotubes. In mice with streptozotocin-induced diabetes, 2-O-M significantly prolonged the blood glucose-lowering effect of insulin, significantly reduced the secretion of exogenous insulin, and reduced the blood glucose concentration in vivo. In addition, treatment with 2-O-M alone significantly enhanced the phosphorylation of AKT in muscle tissue, which enhanced glucose uptake in C2C12 myotubes. Further, 2-O-M significantly increased glucagon secretion and enhanced liver gluconeogenesis to prevent hypoglycemia. Conclusion. 2-O-M enhances the hypoglycemic effect of insulin through the insulin signaling pathway and can be used as a complement to insulin. This synergetic effect may lower the required dose of insulin and protect β cells.

A previous study using next-generation sequencing illustrated and confirmed that the cholinergic receptor muscarinic 3 (CHRM3) gene resides within CNVRs of yak populations that overlap with quantitative trait loci (QTL) relating to meat quality and growth, and plays a prominent role in smooth muscle contraction. This study was conducted to determine the distribution of the CNVs of the CHRM3 gene in five Chinese domestic yak breeds and to investigate the influences of the CHRM3 gene on the gene expression and growth traits of the Datong yak. The data were analyzed by ANOVA using SPSS software. Our results revealed that a gain CNV type in the CHRM3 gene is more highly associated (P

Objective To study the difference in the flora structure and gene function of dental plaque in caries-free and caries-active preschool children by 16S rRNA sequencing. Methods After oral examination of 96 preschool children aged 3-6 years, they were divided into 3 groups according to their decayed, missing and filled surface (dmfs) index: group CF with no caries (n=31), group ECC with moderate early childhood caries (n=29) and group SECC with severe early childhood caries (n=36). Dental plaques were collected, and DNA was extracted and then underwent metagenomic sequencing by Illumina HiSeq 2 500. The bacterial community structure was analyzed by Qiime. Results A total of 12 phyla, 31 classes, 31 orders, 50 families, 92 genera and 1 104 species were found in the dental plaque samples of the three groups, most of which belonged to 9 dominant genera, including Streptococcus, Veillonella, etc. The microbial diversity of the dental plaques in the three groups was similar (P > 0.05). Veillonella, Lactobacillus, Megasphaera, and Scardovia in the SECC group were significantly higher than those in the other two groups. There was a significant correlation between the decayed, missing and filled surface (dmfs) index and the genus. Bifidobacterium, Veillonella, Lactobacillus had a positive correlation with the dmfs index, while Eikenella had a negative correlation with the dmfs index. Indicator species analysis showed that Atopobium, Veillonella, Megasphaera, Scardovia, Lactobacillus and Bifidobacterium had high indicative values in the SECC group. Conclusion There are significant differences in plaque microbiota among preschool children with different caries sensitivities. Veillonella, Megasphaera, Scardovia, Lactobacillus, Bifidobacterium and Atopobium may be the indicator genera of severe early children caries.

Objective To investigate the effects of 5-hydroxytryptamine 3 receptor antagonists (ondansetron [OND]) versus dopamine receptor antagonists (droperidol [DRO]) in the prevention of postoperative nausea, vomiting (PONV) and headache by pooling data from open published studies. Methods Performed systematic electronic searches of PubMed, Embase, Google scholar and CNKI, to identify open-published prospective randomized controlled trials (RCTs) relevant to the comparison of OND versus DRO for preventing PONV and headache to be included in the present study. The pooled PONV, headache, dizziness and drowsiness were calculated based on the original data of each included study. The pooled data was presented with risk ratio (RR) and 95% confidence interval (95%CI). Results Thirteen prospective randomized clinical trials were included in this meta-analysis. The pooled PONV, post-operative nausea (PON) and positive operative vomiting (POV) were 0.67 (95%CI:0.48-0.93, p0.05) and 0.56 (95%CI:0.39-0.82,p0.05), 0.63 (95%CI:0.21-1.87, p>0.05) and 0.48(0.28-0.81,p

This paper presents a double frequency conductivity measurement method for measuring mine bursting water, to solve the capacitance effect of the conductivity sensor itself has the help. The core controller of the system is the single chip microcomputer ATMEGA128. This paper introduces the basic principle of the measurement of the existing problems and the dual frequency measurement method, and then introduces and analyzes the hardware. To test and analyze the collected data, the double frequency method is found to have good stability and accuracy in the measurement of the electrical conductivity of mine inrush water. It is proved that the method and the system design of the hardware circuit can accurately measure the electric conductivity of the mine inrush water source.

Abstract Background Adipogenesis is a complex process that involves many genes/proteins at different stages of differentiation. In order to identify genes critical for adipogeneis, we took a novel approach based on phenotype change of individual cell, to search for genes with regulatory roles in adipogenesis genome-wide in 3T3-L1 cells. Methods Lentivirus-based inducible random homologous knockdown was used for the screening of functional gene that altered lipid formation in the adipocyte during differentiation. Results In the present study, we reported the identification of an alternatively spliced mitochondrial oxodicarboxylate carrier (ODC), so named ODC-AS. ODC-AS is different from ODC by replacing 22 amino acids with 29 amino acids at the N-terminal. ODC was widely expressed in most tissues in mouse as determined by multi-tissue cDNA panel polymerase chain reaction. However, ODC-AS was only detected in adipose tissue and in iris and sclera-choroid complex of the eye. The expression of ODC-AS in 3T3-L1 was detected after the induction of differentiation, and reached a peak at day 4 and then reduced thereafter, whereas no ODC transcript detected in the cells neither before nor after differentiation. Knocking down of ODC-AS expression by RNA interference led to significant reduction in lipid accumulation as determined by triglyceride measurement and Nile Red staining, as well as adipogenic marker CEBPα, PPARγ, aP2 and CD36. Although both ODC and ODC-AS are expressed in white and brown adipose tissues, only the expression of ODC-AS was down-regulated in brown adipose tissue by cold exposure. Conclusion These results implicate that ODC-AS may promote lipid accumulation during adipocyte differentiation and play an important role in the regulation of lipid metabolism in adipose tissues.