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ncOrtho: efficient and reliable identification of miRNA orthologs.
Langschied, Felix; Leisegang, Matthias S; Brandes, Ralf P; Ebersberger, Ingo.
Afiliação
  • Langschied F; Applied Bioinformatics Group, Institute of Cell Biology and Neuroscience, Goethe University, Frankfurt, Germany.
  • Leisegang MS; Institute for Cardiovascular Physiology, Goethe University, Frankfurt, Germany.
  • Brandes RP; German Center of Cardiovascular Research (DZHK), Partner site RheinMain, Frankfurt, Germany.
  • Ebersberger I; Institute for Cardiovascular Physiology, Goethe University, Frankfurt, Germany.
Nucleic Acids Res ; 51(13): e71, 2023 07 21.
Article em En | MEDLINE | ID: mdl-37260093
MicroRNAs (miRNAs) are post-transcriptional regulators that finetune gene expression via translational repression or degradation of their target mRNAs. Despite their functional relevance, frameworks for the scalable and accurate detection of miRNA orthologs are missing. Consequently, there is still no comprehensive picture of how miRNAs and their associated regulatory networks have evolved. Here we present ncOrtho, a synteny informed pipeline for the targeted search of miRNA orthologs in unannotated genome sequences. ncOrtho matches miRNA annotations from multi-tissue transcriptomes in precision, while scaling to the analysis of hundreds of custom-selected species. The presence-absence pattern of orthologs to 266 human miRNA families across 402 vertebrate species reveals four bursts of miRNA acquisition, of which the most recent event occurred in the last common ancestor of higher primates. miRNA families are rarely modified or lost, but notable exceptions for both events exist. miRNA co-ortholog numbers faithfully indicate lineage-specific whole genome duplications, and miRNAs are powerful markers for phylogenomic analyses. Their exceptionally low genetic diversity makes them suitable to resolve clades where the phylogenetic signal is blurred by incomplete lineage sorting of ancestral alleles. In summary, ncOrtho allows to routinely consider miRNAs in evolutionary analyses that were thus far reserved to protein-coding genes.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MicroRNAs Tipo de estudo: Diagnostic_studies Limite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MicroRNAs Tipo de estudo: Diagnostic_studies Limite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha