Heat stress affects milk yield and quality in lactating dairy cows in summer. Bovine mammary epithelial cells (bMECs) play a key role in milk secretion, and microRNAs (miRNAs) regulate numerous functions of bMEC. Previous reports have verified that miR-216b regulated cell apoptosis through repressing target genes in several cancer cells. So, our purpose was to explore the potential involvement of miR-216b in heat stress-induced cell apoptosis in bMECs. Firstly, the heat stress model was constructed and we found that apoptotic rates of bMECs significantly increased under heat stress. The expression of miR-216b, Bax mRNA, and caspase-3 mRNA was upregulated. However, Bcl-2 mRNA level was detected to differentially downregulated. Overexpression of miR-216b remarkably downregulated the expression of caspase-3 and Bax mRNA and protein, and the mRNA and protein level of Bcl-2 was increased. Inhibition of miR-216b increased the activity of caspase-3 and Bax, and the level of Bcl-2 was inhibited. Moreover, Fas was identified as a target gene of miR-216b through bioinformatic analysis and dual-luciferase reporter assay. Fas activity was significantly inhibited and enhanced respectively after transfecting miRNA mimics and inhibitor. Finally, inhibition of Fas via the small interfering RNA (siRNA) also inhibited cell apoptosis induced by heat stress. Taken together, our results indicated that miR-216b exerted as an anti-apoptotic effect under heat stress in bMECs by targeting Fas.

Tibetan yak (Bos grunniens) inhabiting the Qinghai-Tibet Plateau (QTP) where the average altitude is 4000 m, is specially adapted to live at these altitudes. Conversely, cattle (B. taurus) has been found to suffer from high-altitude hypertension or heart failure when exposed to these high altitudes. Two mitochondrial genes, MT-ND1 and MT-ND2, encode two subunits of NADH dehydrogenase play an essential role in the electron transport chain of oxidative phosphorylation (OXPHOS). We sequenced these two mitochondrial genes in two bovine groups (70 Tibetan yaks and 70 Xuanhan cattle) and downloaded 300 sequences of B. taurus (cattle), 93 sequences of B. grunniens (domestic yak), and 2 sequences of B. mutus (wild yak) from NCBI to increase our understanding of the mechanisms of adaptability to hypoxia at high altitudes in yaks compared to cattle. MT-ND1 SNP m.3907 C > T, present in all Tibetan yaks, was positively associated with high-altitude adaptation (p < .0006). Specially, mutation m.3638 A > G present in all cattle, resulting in the termination of transcription, was negatively associated with high-altitude adaptation (p < .0006). Additionally, MT-ND2 SNPs m.4351 G > A and m.5218 C > T also showed positive associations with high-altitude adaptation (p < .0004). MT-ND1 haplotypes H2, H3, H4, H6, and H7 showed positive associations but haplotype H20 had a negative association with high-altitude adaptation (p < .0008). Similarly, MT-ND2 haplotypes Ha1 Ha8, Ha10, and Ha11 were positively associated whereas haplotype Ha2 was negatively associated with adaptability to high-altitudes (p < .0008). Thus, MT-ND1 and MT-ND2 can be considered as candidate genes associated with adaptation to high-altitude environments.

The objective of this study was to investigate the effect of the polymorphism in the Myf5 gene on meat quality traits in the Ira and Tianfu Black rabbit breeds using polymerase chain reaction and DNA sequencing. A total of six SNPs and four haplotypes were found in Ira rabbits and only two SNPs were found in Tianfu Black rabbits. The two rabbit breeds had intermediate levels of genetic diversity according to their polymorphic information content values. The SNP association analysis in Ira indicated that SNP1-6 had a significant association with redness, yellowness and intramuscular fat values in the biceps femoris muscle, and also a significantly effect on redness in the longissimus dorsi muscle. The haplotype association analysis indicated that some haplotypes could be selected to get higher or lower meat redness, yellowness and intramuscular fat content in longissimus dorsi in Ira rabbits. Several SNPs and haplotypes of Myf5 identified here could be considered as molecular markers to improve the meat quality of Ira and Tianfu Black rabbits.

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Emerging evidences suggest that long non-coding RNAs (lncRNAs) play important role in disease development. However, the role of rabbit lncRNAs in the pathogenesis of dermatophytosis remains elusive. The present study aimed to study and characterize lncRNA transcriptome in 8 T. mentagrophytes-induced female rabbit dermatophytosis lesional (TM) and 4 normal saline-infected (NS) skin biopsies using RNAseq. We identified 5883 lncRNAs in 12 strand-specific RNA-seq libraries and found 64 differentially expressed lncRNAs (q < 0.05) in TM relative to NS. As in other mammalian counterparts, rabbit lncRNAs were distributed in all chromosomes except the Y chromosome and were generally smaller in size and fewer in exon numbers compared to protein coding genes. Next, co-expression analysis revealed that 107 pairs between 32 DE lncRNAs and 96 protein coding genes showed a highly correlated expression (|r| > 0.8). Moreover, miRPara analysis of the lncRNAs revealed 173 lncRNAs with precursor sequences for 9561 probable novel miRNAs. Finally, q-PCR results validated the RNA-seq results with eight randomly selected lncRNAs. To the best of our knowledge, this is the first report on rabbit lncRNAs, and our results highlighted the potential role of lncRNAs in the pathogenesis of dermatophytosis.

No abstract

Owing to wide application of RNA sequencing (RNA-seq) technology, more and more eukaryotic genomes have been extensively annotated, such as the gene structure, alternative splicing, and noncoding loci. Annotation information of genome is prevalently stored as plain text in General Feature Format (GFF), which could be hundreds or thousands Mb in size. Therefore, it is a challenge for manipulating GFF file for biologists who have no bioinformatic skill. In this study, we provide a web server (GFFview) for parsing the annotation information of eukaryotic genome and then generating statistical description of six indices for visualization. GFFview is very useful for investigating quality and difference of the de novo assembled transcriptome in RNA-seq studies.