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Published on: January 21, 2020
Computer analysis shows differences between mitochondrial miRNAs and other miRNAs
1Novosibirsk State University, Novosibirsk, Russia.
Abstract:
A subclass of miRNAs with as yet unknown specific functions is mitomiRs - mitochondrial miRNAs that are mainly derived from nuclear DNA and are imported into mitochondria; moreover, changes in the expression levels of mitomiRs are associated with some diseases. To identify the most pronounced characteristics of mitochondrial miRNAs that distinguish them from other miRNAs, we classified mitomiR sequences using the Random Forest algorithm. The analysis revealed, for the first time, a significant difference between mitomiRs and other microRNAs by the following criteria (in descending order of importance in the classification): mitomiRs are evolutionarily older (have a lower phylostratigraphic age index, PAI); have more targets and disease associations, including mitochondrial ones (two-sided Fisher's exact test, average p-values 1.82 × 10-89/1.13 × 10-96 for all mRNA/diseases and 6.01 × 10-22/1.09 × 10-9 for mitochondria, respectively); and are in the class of "circulating" miRNAs (average p- value 1.20 × 10-56). The identified differences between mitomiRs and other miRNAs may help uncover the mode of miRNA delivery into mitochondria, indicate the evolutionary conservation and importance of mitomiRs in the regulation of mitochondrial function and metabolism, and generally show that mitomiRs are not randomly encountered miRNAs. Information on 1,312 experimentally validated mitomiR sequences for three organisms (Homo sapiens, Mus musculus and Rattus norvegicus) is collected in the mitomiRdb database (https://mitomiRdb.org).Key words: mitomiR; mitochondria; miRNA; evolution; database.
Insights
Mitochondrial miRNAs (mitomiRs) are evolutionarily older, target more genes, and are linked to more diseases than other microRNAs. These findings highlight their distinct role in mitochondrial regulation and function.
Area of Science:
- Mitochondrial biology
- Molecular genetics
- Bioinformatics
Background:
- Mitochondrial miRNAs (mitomiRs) are a distinct subclass of microRNAs with incompletely understood functions.
- Changes in mitomiR expression levels are implicated in various diseases.
- Understanding mitomiR characteristics is crucial for elucidating their role in mitochondrial function.
Purpose of the Study:
- To identify unique characteristics differentiating mitomiRs from other microRNAs.
- To classify mitomiR sequences and analyze their evolutionary and functional properties.
- To provide a comprehensive database of experimentally validated mitomiRs.
Main Methods:
- Utilized the Random Forest algorithm for classifying mitomiR sequences.
- Performed statistical analyses (e.g., two-sided Fisher's exact test) to assess differences in targets, disease associations, and evolutionary age.
- Compiled data from Homo sapiens, Mus musculus, and Rattus norvegicus.
Main Results:
- MitomiRs are significantly older evolutionarily (lower phylostratigraphic age index).
- MitomiRs exhibit more extensive target and disease associations, including mitochondrial-specific ones.
- MitomiRs are classified as "circulating" miRNAs, indicating potential extracellular roles.
Conclusions:
- MitomiRs possess distinct evolutionary and functional characteristics compared to other miRNAs.
- These differences suggest a specialized role in mitochondrial regulation, metabolism, and disease.
- The mitomiRdb database offers a valuable resource for further research into these unique molecules.
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