Veshkini Arash, Hammon Harald Michael, Lazzari Barbara, Vogel Laura, Gnott Martina, Tröscher Arnulf, Vendramin Vera, Sadri Hassan, Sauerwein Helga, Ceciliani Fabrizio
Institute of Animal Science, Physiology Unit, University of Bonn, Bonn, Germany.
Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany.
Front Genet. 2022 Aug 23;13:946211. doi: 10.3389/fgene.2022.946211. eCollection 2022.
In the current study, we investigated dairy cows' circulating microRNA (miRNA) expression signature during several key time points around calving, to get insights into different aspects of metabolic adaptation. In a trial with 32 dairy cows, plasma samples were collected on days -21, 1, 28, and 63 relative to calving. Individually extracted total RNA was subjected to RNA sequencing using NovaSeq 6,000 (Illumina, CA) on the respective platform of IGA Technology Services, Udine, Italy. MiRDeep2 was used to identify known and novel miRNA according to the miRbase collection. Differentially expressed miRNA (DEM) were assessed at a threshold of fold-change > 1.5 and false discovery rate < 0.05 using the edgeR package. The MiRWalk database was used to predict DEM targets and their associated KEGG pathways. Among a total of 1,692 identified miRNA, 445 known miRNA were included for statistical analysis, of which 84, 59, and 61 DEM were found between days -21 to 1, 1 to 28, and 28 to 63, respectively. These miRNA were annotated to KEGG pathways targeting the insulin, MAPK, Ras, Wnt, Hippo, sphingolipid, T cell receptor, and mTOR signaling pathways. MiRNA-mRNA network analysis identified miRNA as master regulators of the biological process including miR-138, miR-149-5p, miR-2466-3p, miR-214, miR-504, and miR-6523a. This study provided new insights into the miRNA signatures of transition to the lactation period. Calving emerged as a critical time point when miRNA were most affected, while the following period appeared to be recovering from massive parturition changes. The primarily affected pathways were key signaling pathways related to establishing metabolic and immune adaptations.
在本研究中,我们调查了奶牛在产犊前后几个关键时间点的循环微RNA(miRNA)表达特征,以深入了解代谢适应的不同方面。在一项针对32头奶牛的试验中,于产犊前21天、产后1天、28天和63天采集血浆样本。将单独提取的总RNA在意大利乌迪内IGA技术服务公司的相应平台上使用NovaSeq 6000(Illumina,加利福尼亚州)进行RNA测序。MiRDeep2用于根据miRbase数据库识别已知和新的miRNA。使用edgeR软件包以变化倍数>1.5和错误发现率<0.05为阈值评估差异表达的miRNA(DEM)。MiRWalk数据库用于预测DEM的靶标及其相关的KEGG通路。在总共鉴定出的1692个miRNA中,有445个已知miRNA纳入统计分析,其中在产前21天至产后1天、产后1天至28天和产后28天至63天分别发现84个、59个和61个DEM。这些miRNA被注释到靶向胰岛素、丝裂原活化蛋白激酶(MAPK)、Ras、Wnt、Hippo、鞘脂、T细胞受体和雷帕霉素靶蛋白(mTOR)信号通路的KEGG通路。miRNA- mRNA网络分析确定miRNA为生物过程的主要调节因子,包括miR-138、miR-149-5p、miR-2466-3p、miR-214、miR-504和miR-6523a。本研究为泌乳期过渡的miRNA特征提供了新的见解。产犊成为miRNA受影响最大的关键时间点,而随后的时期似乎正在从大规模分娩变化中恢复。主要受影响的通路是与建立代谢和免疫适应相关的关键信号通路。