Strong evidence for association between K232A polymorphism of the DGAT1 gene and milk fat and protein contents: A meta-analysis.

The relationship between K232A polymorphism of the DGAT1 gene and milk yield and composition was evaluated by meta-analysis of pooled data of more than 10,000 genotyped cattle. Four genetic models, including dominant (AA+KA vs. KK), recessive (AA vs. KA+KK), additive (AA vs. KK), and co-dominant (AA+KK vs. KA) were used to analyze the data. The standardized mean difference (SMD) was used to measure the size of the effects of the A and K alleles of K232A polymorphism on milk-related traits. The results showed that additive model was the best model for describing the effects of K232A polymorphism on studied traits. Under additive model, milk fat content was strongly decreased in cows having the AA genotype (SMD = -1.320). Furthermore, the AA genotype reduced the protein content of milk (SMD = -0.400). A significant difference in daily milk yield (SMD = 0.225) and lactation yield (SMD = 0.697) was found between cows carrying AA and KK genotypes, suggesting the positive effects of the K allele on these traits. Cook's distance measurement suggested some studies as outliers and sensitivity analyses by removing influential studies revealed that the results of meta-analyses for daily milk yield, fat content and protein content were not sensitive to outliers. However, the outcome of the meta-analysis for lactation yield was strongly influenced by outlier studies. Egger's test and Begg's funnel plots showed no evidence of publication bias in included studies. In conclusion, the K allele of K232A polymorphism showed a tremendous effect on increasing fat and protein contents in the milk of cattle, especially when 2 copies of this allele are inherited together, whereas the A allele of K232A polymorphism had negative effects on these traits.

The prevalence of adhesion and biofilm genes in Staphylococcus aureus isolates from bovine mastitis: A comprehensive meta-analysis.

BACKGROUND: Mastitis poses significant challenges to the dairy industry, resulting in economic losses and increased veterinary expenses. Staphylococcus aureus is a common cause of bovine mastitis, relying on efficient adhesion and biofilm formation for infection. OBJECTIVES: This study aimed to employ meta-analysis to investigate the occurrence of adhesion and biofilm genes in S. aureus associated with bovine mastitis, as documented in previous studies. METHODS: This meta-analysis was done according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses, examined 22 eligible articles and revealed varying prevalence rates of adhesion and biofilm genes in S. aureus isolates from bovine mastitis. RESULTS: Among the genes, clfB showed the highest prevalence (p-estimate = 0.905), followed by fnbA (p-estimate = 0.689) and fnbB (p-estimate = 0.502). The icaA and icaD genes also showed a relatively high prevalence (p-estimate = 0.694 and 0.814, respectively). Conversely, the biofilm-associated proteins gene had the lowest prevalence (p-estimate = 0.043). Subgroup analyses based on mastitis types and publication years revealed no significant differences in gene prevalence. Insufficient data hindered the analysis of fib, sasG , eno and bbp genes. CONCLUSION: This study provides valuable insights for managing S. aureus-induced bovine mastitis. Additionally, larger-scale research, particularly on less-studied genes, is necessary to comprehend the molecular roles of adhesion and biofilm genes in S. aureus-induced bovine mastitis.

Whole-genome scan for selection signature associated with temperature adaptation in Iranian sheep breeds.

The present study aimed to identify the selection signature associated with temperature adaptation in Iranian sheep breeds raised in cold and hot environments. The Illumina HD ovine SNP600K BeadChip genomic arrays were utilized to analyze 114 animals from eight Iranian sheep breeds, namely Ghezel, Afshari, Shall, Sanjabi, Lori-Bakhtiari, Karakul, Kermani, and Balochi. All animals were classified into two groups: cold-weather breeds and hot-weather breeds, based on the environments to which they are adapted and the regions where they have been raised for many years. The unbiased FST (Theta) and hapFLK tests were used to identify the selection signatures. The results revealed five genomic regions on chromosomes 2, 10, 11, 13, and 14 using the FST test, and three genomic regions on chromosomes 10, 14, and 15 using the hapFLK test to be under selection in cold and hot groups. Further exploration of these genomic regions revealed that most of these regions overlapped with genes previously identified to affect cold and heat stress, nervous system function, cell division and gene expression, skin growth and development, embryo and skeletal development, adaptation to hypoxia conditions, and the immune system. These regions overlapped with QTLs that had previously been identified as being associated with various important economic traits, such as body weight, skin color, and horn characteristics. The gene ontology and gene network analyses revealed significant pathways and networks that distinguished Iranian cold and hot climates sheep breeds from each other. We identified positively selected genomic regions in Iranian sheep associated with pathways related to cell division, biological processes, cellular responses to calcium ions, metal ions and inorganic substances. This study represents the initial effort to identify selective sweeps linked to temperature adaptation in Iranian indigenous sheep breeds. It may provide valuable insights into the genomic regions involved in climate adaptation in sheep.

A systematic review and meta-analysis revealed a high-level antibiotic resistance of bovine mastitis Staphylococcus aureus in Iran.

Staphylococcus aureus (S. aureus) is a frequent and major etiological agent of bacterial bovine mastitis, leading to high economic losses. This pathogen readily becomes resistant to many antibiotics, resulting in persistent noncurable intramammary infection (IMI) in animals and the development of multidrug-resistant (MDR) strains. The objectives of this study were to evaluate the prevalence of antimicrobial resistance (AMR) of S. aureus strains causing bovine mastitis in Iran according to published data from 2000 to 2021. As there is still a dearth of information on the AMR of S. aureus from Iranian bovine mastitis, the primary focus and subgroup analysis of the present study was performed on Iranian isolates. A systematic review was done according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Based on the initial search, 1006 article were identified. According to inclusion and exclusion criteria and removing duplications, 55 English articles and 13 Persian articles (a total of 68 articles) were finally analyzed. The highest overall prevalence of resistance was reported against penicillin G (p-estimate = 0.568 for all isolates, and p-estimate = 0.838 for Iranian isolates), followed by ampicillin (p-estimate = 0.554, and p-estimate = 0.670 for all isolates and Iranian isolates, respectively) and amoxicillin (p-estimate = 0.391, and p-estimate = 0.695 for all isolates and Iranian isolates, respectively). Besides, the lowest prevalence of resistant isolates was related to trimethoprim-sulfamethoxazole (p-estimate = 0.108 and 0.118 for all isolates and Iranian isolates, respectively) and gentamycin (p-estimate = 0.163 and 0.190, for all isolates and Iranian isolates, respectively). Our analysis showed that the Iranian isolates were more resistant to all antibiotics than those of all isolates. This difference was significant in the case of penicillin G, ampicillin, and erythromycin at 5%. To the best of our knowledge, except for ampicillin, AMR has increased over time for all the studied antibiotics in Iranian isolates. This increased rate was significant for penicillin G, amoxicillin, and tetracycline (p < 0.1). No differences in AMR were detected regarding the mastitis types (clinical vs. subclinical mastitis) for almost evaluated antibiotics. In conclusion, the prevalence of AMR S. aureus isolated from IMI was high particularly for bovine mastitis used antibiotics like penicillin G and ampicillin. Additionally, according to the increasing rate of AMR S. aureus in recent years in Iran, control strategies should be reinforced to avoid the spread of this pathogen and drug resistance.

Effects of Imported Semen Based on Different Selection Indices on Some Production and Reproduction Traits in Iranian Holstein Cattle.

The aim of the present study was to evaluate the effects of imported semen of Holstein bulls from different countries on the economic traits of their daughters using the Lifetime Net Income (LNI) index in various climates of Iran. The data included the first lactation records of 274,057 Holstein cows collected during 1993 to 2017 by the Animal Breeding Center of Iran from 10 large dairy farms located in various provinces of Iran. The investigated traits included milk, fat and protein yields, calving age and calving interval. Breeding values of progenies were predicted by the Best Linear Unbiased Prediction (BLUP) method under the multi-trait animal model using DMU software. The genetic-economic merit of the progenies was estimated by the LNI index. There were significant differences between the estimated breeding values (EBVs) of sire groups (based on bull semen origin) for milk, fat and protein yields, calving age and calving interval in each climate (p < 0.01). The obtained results showed that the highest least-square means of LNI index in semi-cold, moderate and warm climates belonged to the daughters of French sires; however, daughters of German sires were estimated to have the highest least-square means in the cold climate.

Genome-wide association study reveals novel candidate genes for litter size in Markhoz goats.

Introduction: The Markhoz goat is the only breed that can produce high-quality fiber called mohair in Iran; however, the size of its population has faced a dramatic decline during the last decades, mainly due to the reluctance of farmers to rear Markhoz goats caused by a reduction in goat production income. Litter size at birth (LSB) and weaning (LSW) are two economically important reproductive traits for local goat breeders and have the potential of increasing the population growth rate. The present study was aimed to identify possible genomic regions that are associated with LSB and LSW in Markhoz goats using a genome-wide association study (GWAS). Methods: To this end, 136 Markhoz goats with record(s) of kidding were selected for GWAS using the Illumina Caprine 50K bead chip. The individual breeding values (BV) of available LSB and LSW records estimated under an animal mixed model were used as the dependent variable in the GWAS, thereby incorporating repeated categorical variables of litter size. Results: Four SNPs on chromosomes 2, 20 and 21 were identified to be significantly associated (FDR p < 0.05) with LSB after multiple testing correction under a Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway (BLINK) model. Least-square analysis was performed to investigate the effects of detected genotypes on LSB. Ultimately, the GWAS results introduced six candidate genes, including GABRA5, AKAP13, SV2B, PPP1R1C, SSFA2 and TRNAS-GCU in a 100 kb adjacent region of the identified SNPs. Previous studies proposed functional roles of GABRA5 and AKAP13 genes in reproductive processes; however, the role of other candidate genes in reproduction is not clear. Conclusion: These findings warrant further investigation for use in marker-assisted selection programs in Markhoz goats.

A novel variant in the promoter region of miR-9 gene strongly affects litter size in Markhoz goats.

This study aimed to identify and evaluate the effects of single nucleotide polymorphisms (SNPs) within miR-9 and miR-27a genes and their promoters, as well as 3'UTR regions of KITLG and IGF1 genes on litter size in Markhoz goats. PCR-SSCP analysis revealed different band patterns and sequencing results confirmed four SNPs including a C/A, a A/G, a C/T and a A/G substitution located in the promoter region of miR-9 gene, 48 bp upstream of miR-9 seed region within the 3'UTR of KITLG gene, 37 bp downstream of miR-27a gene and 39 bp upstream of miR-9 seed region within the 3'UTR of IGF1 gene, respectively. The results of the least-square analyses indicated that AA genotype of miR-9 gene strongly and positively affects litter size in Markhoz goats (P < 0.01). Furthermore, the results of the logistic regression analyses confirmed that the A allele of miR-9 gene has a tremendous impact on litter size in Markhoz goats (P < 0.01). Scanning the promoter region of miR-9 gene showed that changing C allele to A may prevent HES1, HES2, NRF1 and TCFL5 transcription factors (TFs) from binding to the promoter, which can reduce the expression of miR-9 gene. Principle component analysis (PCA) showed that approximately 60% of the variation of the data set was explained by two of four SNPs. Also, the biplot from the PCA showed a strong association between litter size and C/A polymorphism of miR-9 promoter. Linkage disequilibrium analysis revealed a very slight linkage among investigated loci.

Association between c.1189G>A single nucleotide polymorphism of GDF9 gene and litter size in goats: A meta-analysis.

Litter size is one of the most important traits in goat production and breeding. The most common and presumed single nucleotide polymorphism (SNP) detected in the Growth Differentiation Factor 9 gene is c.1189G>A (rs637044681, Ensembl) which results in an altered sequence of the encoded protein. In some studies, there was no effect of this SNP on litter size, while in other studies there was an effect. In the present study there was a meta-analysis conducted by pooling results from 11 eligible published studies to investigate effects of c.1189G>A polymorphism on litter size using four different genetic models including dominant (AA + AG compared with GG), recessive (AA compared with AG + GG), additive (AA compared with GG) and co-dominant (AA + GG compared with AG). Data were analyzed using fixed and random-effect models based on the I-squared value. Results indicate the c.1189G>A polymorphism is positively associated with litter size with use of the dominant model (SMD = 0.093, 95% CI = 0.028 to 0.158, P-Value = 0.005). There, however, was no effect of the c.1189G>A polymorphism using the recessive (SMD = 0.065, 95% CI = -0.164 to 0.295, P-Value = 0.577), additive (SMD = 0.172, 95% CI = -0.169 to 0.513, P-Value = 0.324) and co-dominant (SMD = -0.083, 95% CI = -0.200 to 0.034, P-Value = 0.164) genetic models. Results from use of the sensitivity analysis indicate the GG genotype affect litter size with use of the additive model (P < 0.01). The results from this meta-analysis indicate the GG genotype is associated with litter size in goats.