MirGeneDB 2.0: the metazoan microRNA complement

Fromm, Bastian; Domanska, Diana; Hoye, Eirik; Ovchinnikov, Vladimir; Kang, Wenjing; Aparicio-Puerta, Ernesto; Johansen, Morten; Flatmark, Kjersti; Mathelier, Anthony; Hovig, Eivind; Hackenberg, Michael; Friedlander, Marc R.; Peterson, Kevin J.

Publicación: NUCLEIC ACIDS RESEARCH
2020
VL / 48 - BP / D132 - EP / D141
abstract
Small non-coding RNAs have gained substantial attention due to their roles in animal development and human disorders. Among them, microRNAs are special because individual gene sequences are conserved across the animal kingdom. In addition, unique and mechanistically well understood features can clearly distinguish bona fide miRNAs from the myriad other small RNAs generated by cells. However, making this distinction is not a common practice and, thus, not surprisingly, the heterogeneous quality of available miRNA complements has become a major concern in microRNA research. We addressed this by extensively expanding our curated microRNA gene database - MirGeneDB - to 45 organisms, encompassing a wide phylogenetic swath of animal evolution. By consistently annotating and naming 10,899 microRNA genes in these organisms, we show that previous microRNA annotations contained not only many false positives, but surprisingly lacked >2000 bona fide microRNAs. Indeed, curated microRNA complements of closely related organisms are very similar and can be used to reconstruct ancestral miRNA repertoires. MirGeneDB represents a robust platform for microRNA-based research, providing deeper and more significant insights into the biology and evolution of miRNAs as well as biomedical and biomarker research.

Access level

Green published, Gold