MirGeneDB 3.0: improved taxonomic sampling, uniform nomenclature of novel conserved microRNA families and updated covariance models

Alexander W. Clarke, Eirik Høye, Anju Angelina Hembrom, Vanessa Molin Paynter, Jakob Vinther, Łukasz Wyrożemski, Inna Biryukova, Alessandro Formaggioni, Vladimir Ovchinnikov, Holger Herlyn, Alexandra Pierce, Charles Wu, Morteza Aslanzadeh, Jeanne Cheneby, Pedro Martinez, Marc R. Friedländer, Eivind Hovig, Michael Hackenberg, Sinan Uğur Umu, Morten JohansenKevin J. Peterson*, Bastian Fromm*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

3 Citations (Scopus)

Abstract

We present a major update of MirGeneDB (3.0), the manually curated animal microRNA gene database. Beyond moving to a new server and the creation of a computational mirror, we have expanded the database with the addition of 33 invertebrate species, including representatives of 5 previously unsampled phyla, and 6 mammal species. MirGeneDB now contains entries for 21 822 microRNA genes (5160 of these from the new species) belonging to 1743 microRNA families. The inclusion of these new species allowed us to refine both the evolutionary node of appearance of a number of microRNA genes/families, as well as MirGeneDB’s phylogenetically informed nomenclature system. Updated covariance models of all microRNA families, along with all smallRNA read data are now downloadable. These enhanced annotations will allow researchers to analyze microRNA properties such as secondary structure and features of their biogenesis within a robust phylogenetic context and without the database plagued with numerous false positives and false negatives. In light of these improvements, MirGeneDB 3.0 will assume the responsibility for naming conserved novel metazoan microRNAs. MirGeneDB is part of RNAcentral and Elixir Norway and is publicly and freely available at mirgenedb.org.
Original languageEnglish
Article numbergkae1094
Pages (from-to)D116-D128
Number of pages13
JournalNucleic Acids Research
Volume53
Issue numberD1
Early online date30 Nov 2024
DOIs
Publication statusPublished - 6 Jan 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s) 2024.

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