Deep experimental profiling of microRNA diversity, deployment, and evolution across the Drosophila genus Journal Article


Authors: Mohammed, J.; Flynt, A. S.; Panzarino, A. M.; Mondal, M. M. H.; DeCruz, M.; Siepel, A.; Lai, E. C.
Article Title: Deep experimental profiling of microRNA diversity, deployment, and evolution across the Drosophila genus
Abstract: To assess miRNA evolution across the Drosophila genus, we analyzed several billion small RNA reads across 12 fruit fly species. These data permit comprehensive curation of species- and clade-specific variation in miRNA identity, abundance, and processing. Among well-conserved miRNAs, we observed unexpected cases of clade-specific variation in 5′ end precision, occasional antisense loci, and putatively noncanonical loci. We also used strict criteria to identify a large set (649) of novel, evolutionarily restricted miRNAs. Within the bulk collection of species-restricted miRNAs, two notable subpopulations are splicing-derived mirtrons and testes-restricted, recently evolved, clustered (TRC) canonical miRNAs. We quantified miRNA birth and death using our annotation and a phylogenetic model for estimating rates of miRNA turnover. We observed striking differences in birth and death rates across miRNA classes defined by biogenesis pathway, genomic clustering, and tissue restriction, and even identified flux heterogeneity among Drosophila clades. In particular, distinct molecular rationales underlie the distinct evolutionary behavior of different miRNA classes. Mirtrons are associated with high rates of 3′ untemplated addition, a mechanism that impedes their biogenesis, whereas TRC miRNAs appear to evolve under positive selection. Altogether, these data reveal miRNA diversity among Drosophila species and principles underlying their emergence and evolution. © 2018 Mohammed et al.
Keywords: adult; unclassified drug; gene mutation; nonhuman; gene targeting; microrna; gene expression; embryo; gene locus; molecular evolution; quantitative analysis; genome; drosophila melanogaster; rna processing; predictive value; biogenesis; rna sequence; molecular phylogeny; genetic regulation; rna analysis; mortality rate; birth rate; male; female; priority journal; article; whole genome sequencing; antisense mirna
Journal Title: Genome Research
Volume: 28
Issue: 1
ISSN: 1088-9051
Publisher: Cold Spring Harbor Laboratory Press  
Date Published: 2018-01-01
Start Page: 52
End Page: 65
Language: English
DOI: 10.1101/gr.226068.117
PROVIDER: scopus
PMCID: PMC5749182
PUBMED: 29233922
DOI/URL:
Notes: Article -- Export Date: 1 February 2018 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Eric C Lai
    159 Lai
  2. Alex S Flynt
    12 Flynt