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Well-Annotated microRNAomes Do Not Evidence Pervasive miRNA Loss
Author(s) -
James E. Tarver,
Richard S. Taylor,
Mark N. Puttick,
Graeme T. Lloyd,
Walker Pett,
Bastian Fromm,
Bettina E. Schirrmeister,
Davide Pisani,
Kevin J. Peterson,
Philip C. J. Donoghue
Publication year - 2018
Publication title -
genome biology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.702
H-Index - 74
ISSN - 1759-6653
DOI - 10.1093/gbe/evy096
Subject(s) - biology , phylogenetic tree , phylogenetics , spurious relationship , evolutionary biology , inference , multicellular organism , convergent evolution , annotation , genetics , computational biology , gene , machine learning , artificial intelligence , computer science
microRNAs are conserved noncoding regulatory factors implicated in diverse physiological and developmental processes in multicellular organisms, as causal macroevolutionary agents and for phylogeny inference. However, the conservation and phylogenetic utility of microRNAs has been questioned on evidence of pervasive loss. Here, we show that apparent widespread losses are, largely, an artefact of poorly sampled and annotated microRNAomes. Using a curated data set of animal microRNAomes, we reject the view that miRNA families are never lost, but they are rarely lost (92% are never lost). A small number of families account for a majority of losses (1.7% of families account for >45% losses), and losses are associated with lineages exhibiting phenotypic simplification. Phylogenetic analyses based on the presence/absence of microRNA families among animal lineages, and based on microRNA sequences among Osteichthyes, demonstrate the power of these small data sets in phylogenetic inference. Perceptions of widespread evolutionary loss of microRNA families are due to the uncritical use of public archives corrupted by spurious microRNA annotations, and failure to discriminate false absences that occur because of incomplete microRNAome annotation.

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