Fat tail is one of the most important domesticated characteristics in sheep; however its molecular mechanism is poorly understood. Here we took small-tailed F2 hybrid of wild Argali sheep and typical fat-tailed Bashby sheep as research object. First, histological analysis revealed that the mean diameter and area in tail and subcutaneous fat cells, and surface density in tail fat in Bashby sheep were significantly larger than that in F2 sheep, and surface density of fat in subcutaneous fat in Bashby sheep was significantly lower than that in F2 sheep. Second, 873 differentially expressed genes (DEGs) of tail fat between Bashby and F2 sheep were identified by RNA-seq. Third, the tissue expression profile and relative expression difference between Bashby and F2 sheep of 7 of 873 DEGs were analyzed by RT-PCR. SCD, ESR1, EMR1, PHYH, STAT3 and GPAM genes were highly expressed in fat, muscle and liver, and ALDH1A1 were highly expressed in small intestine. In addition, the expressions of SCD, PHYH and CPAM genes in tail fat of F2 sheep were lower than that of Bashby sheep, while the expression patterns of ESR1 and EMR1 were reversed. Our findings will not only help understand molecular mechanism of fat tail, but also provide theoretical material in sheep evolution.

Bovine respiratory disease (BRD) is one of the major health issues in the cattle industry, resulting in significant financial crises globally. There is currently no good treatment, and cattle are made resistant to pneumonia through disease-resistant breeding. The serial blood samples from six Xinjiang brown (XJB) calves were collected for the RNA sequencing (RNA-seq). The obtained six samples were grouped into two groups, in each group as infected with BRD and healthy calves, respectively. In our study, the differential expression mRNAs were detected by using RNA-seq and constructed a protein–protein interaction (PPI) network related to the immunity in cattle. The key genes were identified by protein interaction network analysis, and the results from RNA-seq were verified using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). A total of 488 differentially expressed (DE) mRNAs were identified. Importantly, the enrichment analysis of these identified DEGs classified them as mainly enriched in the regulation and immune response processes. The 16 hub genes were found to be related to immune pathways categorized by PPIs analysis. Results revealed that many hub genes were related to the immune response to respiratory disease. These results will provide the basis for a better understanding of the molecular mechanism of bovine resistance to BRD.

High quality gaits play an important role in many breeding programs, but the genes of gait were limited at the moment. Here, we present an analysis of genomic selection signatures in 53 individuals from two breeds, using genotype data from the Affymetrix Equine 670K SNP genotyping array. The 11 selection regions of Yili horse were identified using an F _ST statistic and XP-EHH calculated in 200-kb windows across the genome. In total, 50 genes could be found in the 11 regions, and two candidate genes related to locomotory behavior ( CLN6, FZD4 ). The genome of Yili horse and Russian horse were shaped by natural and artificial selection. Our results suggest that gait trait of Yili horse may related to two genes. This is the first time when whole genome array data is utilized to study genomic regions affecting gait in Yili horse breed.