Journal
ANIMAL BIOTECHNOLOGY
Volume 33, Issue 3, Pages 468-479Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/10495398.2020.1804919
Keywords
Holstein dairy cow; miRNAs; fatty liver; targets
Funding
- Natural Science Foundation of China [31872537, 1471971, 31402263]
- Natural Science Foundation of Henan Province [182300410087, 182300410032]
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In this study, the miRNAs in normal and fatty livers of Holstein Dairy Cows were analyzed through deep sequencing. Differential expression of miRNAs between the two conditions was observed, and their target genes were found to be associated with cellular processes and liver metabolism. These findings provide valuable insights into liver function and the potential use of miRNAs in disease detection.
MicroRNAs (miRNAs) are a class of non-coding short RNAs with similar to 22 nts in length, which play important roles in the regulation of numerous biological processes in animals. In this study, two small RNA libraries from fatty (S01) and normal livers (S02) from Holstein Dairy Cow (HDC) were sequenced through deep sequencing. A total of 12,964,411 and 15,426,289 clean reads were obtained, representing 370 known and 182 novel miRNAs, respectively. The characterization, expression pattern, potential functions and target genes of these miRNAs were investigated. Analysis identified 66 upregulated and seven downregulated differentially expressed miRNAs (DIE-miRNAs). To verify the sequencing results, 10 DIE-miRNAs were selected for qRT-PCR, and the results were confirmed to be consistent with the miRNA sequencing. In addition, a total of 5,578 targets of the 73 DIE-miRNAs were predicted. GO analysis revealed that DIE-miRNAs targets are associated with cellular process, cell part and molecular transducer activity. KEGG pathway analysis showed that Arrhythmogenic right ventricular cardiomyopathy, Axon guidance, Ether lipid metabolism and Cocaine addiction were closely associated with liver metabolism. These findings will provide valuable information for further functional verification of miRNAs between normal and fatty liver, as might exploit new attractive miRNAs biomarkers for diseases detection in HDC.
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