Identification and bioinformatics analysis of microRNAs associated with stress and immune response in serum of heat-stressed and normal Holstein cows

MicroRNAs (miRNAs) are small single-stranded non-coding RNAs that have an important regulatory function in animal growth and developmental processes. However, the differential expression of miRNA and the role of these miRNAs in heat-stressed Holstein cows are still unknown. In this study, the profile of differentially expressed miRNAs and the target genes analysis in the serum of heat-stressed and normal Holstein cows were investigated by a Solexa deep-sequencing approach and bioinformatics. The data identified 52 differentially expressed miRNAs in 486 known miRNAs which were changed significantly between heat-stressed and normal Holstein cows (fold change >2, P < 0.001). Target genes analysis showed that at least 7 miRNAs (miR-19a, miR-19b, miR-146a, miR-30a-5p, miR-345-3p, miR-199a-3p, and miR-1246) were involved in the response to stress, oxidative stress, development of the immune system, and immune response among the identified 52 differentially expressed miRNAs. Five miRNAs (miR-27b, miR-181a, miR-181b, miR-26a, and miR-146b) were involved in stress and immune responses and the expression of five miRNAs was striking (P < 0.001). In addition, RT-qPCR and deep-sequencing methods showed that 8 miRNAs among the 12 selected miRNAs (miR-19a, miR-19b, miR-27b, miR-30a-5p, miR-181a, miR-181b, miR-345-3p, and miR-1246) were highly expressed in the serum of heat-stressed Holstein cows. GO and KEGG pathway analysis showed that these differentially expressed miRNAs were involved in a pathway that may differentially regulate the expression of stress response and immune response genes. Our study provides an overview of miRNAs expression profile and the interaction between miRNAs and their target genes, which will lead to further understanding of the important roles of miRNAs in heat-stressed Holstein cows.     

植物抗非生物胁迫microRNA研究进展

非生物胁迫是导致全球作物减产的重要因素,在植物应对非生物胁迫的生命反应中,编码蛋白的基因起到了非常重要的作用。随着研究的不断深入,发现microRNA(miRNA)在植物抗非生物胁迫中发挥着非常重要的作用。microRNA是一类非编码的RNA,长度约22~24 nt,通过作用于靶基因的mRNA进行调控。miRNA可以在植物应对多种非生物胁迫中发挥作用,如过氧化、营养缺乏、盐碱、干旱及其他机械胁迫等。我们基于目前的研究进展,着重介绍了miRNA的生物合成、作用机制,及其在多种非生物胁迫中的作用。     

Genome-wide identification of cold-responsive and new microRNAs in Populus tomentosa by high-throughput sequencing

MicroRNAs (miRNAs) are small, non-coding RNAs that regulate the expression of target mRNAs in plant growth, development, abiotic stress responses, and pathogen responses. Cold stress is one of the most common abiotic factors affecting plants, and it adversely affects plant growth, development, and spatial distribution. To understand the roles of miRNAs under cold stress in Populus tomentosa, we constructed two small RNA libraries from plantlets treated or not with cold conditions (4 °C for 8 h). High-throughput sequencing of the two libraries identified 144 conserved miRNAs belonging to 33 miRNA families and 29 new miRNAs (as well as their corresponding miRNA¹s) belonging to 23 miRNA families. Differential expression analysis showed that 21 miRNAs were down-regulated and nine miRNAs were up-regulated in response to cold stress. Among them, 19 cold-responsive miRNAs, two new miRNAs and their corresponding miRNA¹s were validated by qRT-PCR. A total of 101 target genes of the new miRNAs were predicted using a bioinformatics approach. These target genes are involved in growth and resistance to various stresses. The results demonstrated that Populus miRNAs play critical roles in the cold stress response.     

Expression of microRNAs associated with oxidative stress in the hippocampus of piglets

Oxidative stress is associated with human diseases and the developmental retardation of animals. The hippocampus is particularly vulnerable to oxidative stress. MicroRNAs (miRNAs), expressed largely in the mammalian brain, are emerging as robust players and have been implicated in many cellular processes. The present study investigated the sub-tissue specificity of miRNA expression in the dorsal hippocampus (DH) and ventral hippocampus (VH) and evaluated the effects of oxidative stress induced by iron dextran (FeDex) treatment on miRNA expression in the DH and VH of pigs using RNA-sequencing technology and bioinformatics, respectively. The results demonstrated that the injection of FeDex significantly increased the levels of several markers of oxidative stress in serum of Rongchang piglets, which indicated that oxidative stress was successfully induced. Sub-tissue specificity was displayed with 54 differentially expressed miRNAs between the VH and DH. The induced oxidative stress emphasized 59 and 46 differentially expressed miRNAs in the DH and VH, respectively. GO and KEGG pathway analyses revealed that the predicted targets of these differentially expressed miRNAs were involved in the pathways that regulate the expression of genes associated with nervous system development, immune response and oxidative stress, which not only revealed the ability of miRNAs to influence complex gene networks in the DH and VH but also further corroborated the successful induction of oxidative stress. Collectively, the results of this study provide a valuable basis for future studies aimed at contributions of miRNAs induced by oxidative stress in growth retardation and neurodegenerative diseases of animals and human.     

Analysis of miRNA-seq combined with gene expression profile reveals the complexity of salinity stress response in <Emphasis Type="Italic">Oryza sativa</Emphasis>

High salinity is a major abiotic stressor that affects crop productivity and quality. While proper seedling growth is critical for crop reproduction under high salinity stress. Nowadays, genes/miRNAs expression is used for studying salinity stress response in rice seedlings. However, analysis of miRNA combined with gene expression is rare. To this end, we used miRNA-seq and gene expression profile to ascertain 6335 genes (3276 genes up-regulated, 3059 genes down-regulated) and 126 miRNAs (47 miRNAs up-regulated, 79 miRNAs down-regulated) that respond to salinity stress in rice seedlings. We then used these 126 miRNAs (including the novel miRNA osa-Chr12_1506) to identify 121 differentially expressed predicted target genes. In addition, we identified 34 miRNA-target RNA pairs, consisting of 9 differentially expressed miRNAs with complementary expression patterns. Combined with previous studies, we proposed a simple model for the molecular mechanism of a 12-h salinity stress response in rice seedlings. The findings lead to a deeper understanding of the function of miRNAs and genes that respond to salinity, and contributed to the elucidation of the complex mechanisms activated by salinity stress.