Meta-analysis of differentially-regulated hepatic microRNAs identifies candidate post-transcriptional regulation networks of intermediary metabolism in rainbow trout

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs which act as post-transcriptional regulators by decreasing targeted mRNA translation and stability. Principally targeting small 3′ UTR elements of protein-coding mRNAs through complementary base-pairing, miRNAs are promiscuous regulators of the transcriptome. While potent roles for hepatic miRNAs in the regulation of energy metabolism have emerged in rodent models, comparative roles in other vertebrates remain largely unexplored. Indeed, while several miRNAs are deeply conserved among vertebrates, the acquisition of lineage- and species-specific miRNAs, as well as the rewiring between miRNA-mRNA target relationships beg the question of regulatory and functional conservation and innovation of miRNAs and their targets involved in energy metabolism. Here we provide a meta-analysis of differentially expressed hepatic miRNAs in rainbow trout, a scientifically and economically important teleost species with a ‘glucose-intolerant’ phenotype. Following exposure to nutritional and social context-dependent metabolic challenges, we analyzed differential miRNA expression from small-RNA-sequencing datasets generated with a consistent bioinformatics pipeline in conjunction with an in silico target prediction of metabolic transcripts and pathways. We provide evidence for evolutionary conserved (let-7, miRNA-27 family) and rewired (miRNA-30 family, miRNA-152, miRNA-722) miRNA-metabolic target gene networks in the context of the salmonid genome. These findings represent important first steps in our understanding of the comparative regulation and function of hepatic miRNAs in rainbow trout energy metabolism. We propose that the identified miRNA families should be prioritized for future comparative functional investigation in the context of hepatic energy- and glucose metabolism in rainbow trout.