Polymorphism in exon2 of BMP15 gene in Iranian sangsari sheep

Fertility rate is an economically important trait in sheep, which is influenced by genetic and environment. So far, three genes have been identified that affects this trait, one of them would be the BMP family, the most famous one is BMP15. Different mutations in the BMP15 gene, increases reproductive performance and growth rate in sheep. The aim of this study was to investigate the genetic and phylogenetic of BMP15 gene sequence in Iranian Sangsari sheep. For this purpose, the blood samples from 20 animal of Damghan station were collected. After DNA extracting, a segment of 222 bp of exon 2 of BMP15 gene was amplified using polymerase chain reaction. Then, all of the PCR products were sequenced. The results showed existence of four haplotypes and three significant mutations of the gene that which one of them was seen for first. In order to determine the genetic distance of Sansari sheep with other animals especially sheep breeds about 103 sequences were taken from Genebank, Then, phylogenetic trees were drawn. Genetic distances and nucleotide differences were calculated. The results showed that goat, cattle and buffalo have minimum genetic distance and monkey, human and mouse have maximum distance with Sangsari sheep and native Hindi and Kashmiri sheep have not any differences with Iranian Sangsari sheep

Microsatellite analysis of genetic diversity in Indian chicken populations [Анализ генетической изменчивости внутри и между шестью индийскими популяциями кур с помощью микросателлитных маркеров. (Иран. Индия)]

Characterization of genetic diversity by employing molecular tools is a prerequisite in developing strategies for conservation and utilization of poultry genetic resources. We assessed genetic variation within and between six Indian chicken populations (Naked Neck, White Silkies, Commercial Layer and Broiler, Giriraja and Desi) using nine microsatellite markers. Seven loci were polymorphic in all populations, with the number of alleles varying from 3 to 27 per locus and 4.1 to 8.6 per population. Average heterozygosity and gene diversity in the populations were 0.68 and 0.66, respectively. Some populations and loci deviated from Hardy-Weinberg equilibrium. Except Naked Neck, none of other populations was in genotypic disequilibrium for a single pairwise locus combination. F-statistics indicated that populations are genetically structured, ∼85% of the total genetic variation being due to genetic differentiation within the populations. Estimates of Latter’s FST and Nei’s DS genetic distances revealed relatively close genetic similarity between Naked Neck and Giriraja, while White Silkies was the most distant. An estimated divergence time between Naked Neck and Giriraja was over 100 years, with a comparatively longer (over 450 years) period of separation between Giriraja and White Silkies. We suggest that there is an essential room left for genetic improvement of Indian native breeds and commercial stocks

Multi-Omics Integration and Network Analysis Reveal Potential Hub Genes and Genetic Mechanisms Regulating Bovine Mastitis

Mastitis, inflammation of the mammary gland, is the most prevalent disease in dairy cattle that has a potential impact on profitability and animal welfare. Specifically designed multi-omics studies can be used to prioritize candidate genes and identify biomarkers and the molecular mechanisms underlying mastitis in dairy cattle. Hence, the present study aimed to explore the genetic basis of bovine mastitis by integrating microarray and RNA-Seq data containing healthy and mastitic samples in comparative transcriptome analysis with the results of published genome-wide association studies (GWAS) using a literature mining approach. The integration of different information sources resulted in the identification of 33 common and relevant genes associated with bovine mastitis. Among these, seven genes—CXCR1, HCK, IL1RN, MMP9, S100A9, GRO1, and SOCS3—were identified as the hub genes (highly connected genes) for mastitis susceptibility and resistance, and were subjected to protein-protein interaction (PPI) network and gene regulatory network construction. Gene ontology annotation and enrichment analysis revealed 23, 7, and 4 GO terms related to mastitis in the biological process, molecular function, and cellular component categories, respectively. Moreover, the main metabolic-signalling pathways responsible for the regulation of immune or inflammatory responses were significantly enriched in cytokine–cytokine-receptor interaction, the IL-17 signaling pathway, viral protein interaction with cytokines and cytokine receptors, and the chemokine signaling pathway. Consequently, the identification of these genes, pathways, and their respective functions could contribute to a better understanding of the genetics and mechanisms regulating mastitis and can be considered a starting point for future studies on bovine mastitis