Abstract

MicroRNAs are widely referred to as gene expression regulators for different diseases. The integration between single nucleotide polymorphisms (SNPs) and miRNAs has been associated with both human and animal diseases. In order to gain new insights on the effects of SNPs on miRNA and their related sequences, we steadily characterized a whole mouse genome miRNA related SNPs, analyzed their effects on the miRNA structural stability and target alteration. In this study, we collected 73643859 SNPs across the mouse genome, analyzed 1187 pre-miRNAs and 2027 mature miRNAs. Upon mapping the SNPs, 1700 of them were identified in 702 pre-miRNAs and 609 SNPs in mature miRNAs. We also discovered that SNP densities of the pre-miRNA and mature miRNAs are lower than the adjacent flanking regions. Also the flanking regions far away from miRNAs appeared to have higher SNP density. In addition, we also found that transitions were more frequent than transversions in miRNAs. Notably, 841 SNPs could change their corresponding miRNA’s secondary structure from stable to unstable. We also performed target gain and loss analysis of 163 miRNAs and our results showed that few miRNAs remained unchanged and many miRNAs from wild mice gained target site. These results outline the first case of SNP variations in the mouse whole genome scale. Those miRNAs with changes in structure or target could be of interest for further studies.

Details

Title
Genome-Wide Analysis of MicroRNA-related Single Nucleotide Polymorphisms (SNPs) in Mouse Genome
Author
Omariba Gideon 1 ; Xu Fuyi 2 ; Wang, Maochun 1   VIAFID ORCID Logo  ; Li, Kai 1 ; Zhou Yuxun 1 ; Xiao Junhua 1 

 Donghua University, College of Chemistry, Chemical Engineering, and Biotechnology, Shanghai, China (GRID:grid.255169.c) (ISNI:0000 0000 9141 4786) 
 Donghua University, College of Chemistry, Chemical Engineering, and Biotechnology, Shanghai, China (GRID:grid.255169.c) (ISNI:0000 0000 9141 4786); University of Tennessee Health Science Center, Department of Genetics, Genomics and Informatics, Memphis, United States (GRID:grid.267301.1) (ISNI:0000 0004 0386 9246) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2386372104
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.