Comparative Biochemistry and Physiology Part D: Genomics and Proteomics
Meta-analysis of differentially-regulated hepatic microRNAs identifies candidate post-transcriptional regulation networks of intermediary metabolism in rainbow trout
Graphical abstract
Introduction
Since their discovery in C. elegans (Lee et al., 1993), microRNAs (miRNAs), a class of small non-coding RNA molecules which in their mature form exhibit a length of ~22 nt, have emerged as important post-transcriptional regulators of gene expression (O'Brien et al., 2018). In animals, miRNA-dependent regulation of targeted protein-coding mRNA transcripts is principally mediated via complementary base-pairing between the mature miRNA's seed region (comprised of nucleotides 2–7), and short elements within the targeted mRNA's 3′UTR sequence (McGeary et al., 2019). Initially considered an idiosyncrasy in C. elegans, it has rapidly become clear that miRNAs are deeply conserved in evolution, with few lineage-specific exceptions (Moran et al., 2017). Generally, increases in organismal complexity in animals are considered to scale with the quantity and complexity of the miRNA repertoire, and lineage-specific acquisition of novel miRNAs with losses of only a few specific miRNA families have been reported (Tarver et al., 2018). Functionally, miRNAs have, largely in rodent models and mammalian species in general, been linked to several key biological functions, including the regulation of energy metabolism (Rottiers and Näär, 2012; Hartig et al., 2015). However, in spite of the fact that the comparative investigation of the miRNA repertoire, its regulation, and the degree of conservation or evolutionary rewiring of targeted mRNA transcripts and pathways have the potential to help identify key conserved miRNA-target relationships on the one hand, and lineage-specific innovation on the other, very few studies have attempted to address these questions (Mennigen, 2016).
Since the advent of genome sequencing, major strides have been made in many traditional research models which previously lacked genomic resources to assess species-specific miRNA repertoires and predicted targets in a genome-wide context. This development has been true for teleost fishes and rainbow trout in particular (Mennigen, 2016), for which annotated miRNA repertoires (Juanchich et al., 2016) and in silico target prediction algorithms (Mennigen and Zhang, 2016) have been published following the sequencing of its genome (Berthelot et al., 2014). Because rainbow trout have been used as a comparative research model due to its ‘glucose-intolerant’ phenotype (Forbes et al., 2019), the evolution of its genome (Berthelot et al., 2014), and because of its economic importance in freshwater angling and aquaculture (Logan and Johnston, 1992; Crawford and Muir, 2008), significant research efforts have been geared towards the elucidation of molecular regulation of energy metabolism in this species (Panserat et al., 2012). It is therefore not surprising that with newly available genomic resources, comparative research of epigenetic molecular mechanisms involved in transcriptional and post-transcriptional control of energy metabolism has increased substantially over the last several years in this species (Best et al., 2018). As a major metabolic hub, the liver has been investigated in particular detail in this context: In addition to transcriptional level investigations which addressed potential roles of chromatin and DNA methylation level regulation of hepatic expression of genes with roles in energy metabolic pathways (Marandel et al., 2016), our group has conducted a range of studies to investigate regulation and potential post-transcriptional roles for miRNAs in hepatic energy metabolism in rainbow trout (Kostyniuk et al., 2019b, Kostyniuk et al., 2019a, Kostyniuk et al., 2018). We here use a meta-analytical approach to identify commonly regulated miRNAs in response to nutritional and social-status dependent metabolic challenges, as well as an in silico approach to address their possible function in rainbow trout hepatic energy metabolism. An overview of experimental designs which consisted of metabolic challenges in the form of changes of nutritional quantity and quality as a function of diet and/or social context is provided in Fig. 1 (Kostyniuk et al., 2019a, Kostyniuk et al., 2019b). In all experiments, changes of specific energy-metabolism related transcript steady-state abundances have been assessed, allowing correlative analysis between differentially-regulated miRNAs and their in silico predicted mRNA targets. Because rainbow trout experienced teleost-specific and salmonid-specific whole genome duplication events with consequences for the repertoire of energy metabolism transcripts (Marandel et al., 2019, Marandel et al., 2015), we attempt an initial in silico based investigation of potential paralogue-specific regulation by differentially regulated miRNA in this species, which forms an integral part of its comparative genomic context. Finally, as both differential miRNA abundance and specific DNA-level epigenetic molecular mechanisms have been quantified in the same liver tissue samples within specific experiments (Marandel et al., 2016; Kostyniuk et al., 2019a), we will discuss possible interaction of miRNA-dependent post-transcriptional and DNA-level epigenetic molecular mechanisms previously proposed in this species (Kuc et al., 2017).
Section snippets
Experimental design and analytical pipeline to determine differentially regulated hepatic miRNA abundances
The specific conditions for all rainbow trout experiments, as well as the processing and short RNA-sequencing analysis pipeline have been described in detail previously (Kostyniuk et al., 2019a, Kostyniuk et al., 2019b) and are summarized in Fig. 1 and Supplemental File S1, respectively. Briefly, sequences were initially filtered using the LCScience ACGT10-miR v4.2 pipeline to remove low-quality sequences, low-complexity sequences, and sequences corresponding to common RNA families (mRNA, RFam,
Differentially regulated hepatic miRNAs in short-term fasted rainbow trout
Of the overall ~69 M raw reads (Supplemental File S2), 39.76 M reads were excluded due a lack of a 3′adapter (3′ADT) (~32.16 M or 46.6%) and because of a nucleotide size outside the targeted range of 15–32 nt (~7.5 M or 11%) after 3′ADT sequence screening. This resulted in ~29.26 M mappable reads, of which 74% exhibit a size between 19 and 23 nt (Supplemental File S3). The Phred Score distribution of reads was larger than 30 (Supplemental File S4), indicating a probability of incorrect base
Rainbow trout strain and/or rearing temperature affect the hepatic miRNAome across experimental conditions
The current study used hepatic samples of rainbow trout exposed to different metabolic challenges in an effort to identify key miRNAs predicted to be involved in the regulation of rainbow trout hepatic metabolism. While the newly identified differentially regulated miRNAs in rainbow trout liver under conditions of short term fasting complement distinct hepatic miRNA profiles previously observed in juvenile rainbow trout under different metabolic challenges (Fig. 1), the current meta-analysis
Declaration of competing interest
The authors do not declare any conflict of interest.
Acknowledgements
We would like to thank Dr. Lucie Marandel and Dr. Stéphane Panserat (INRA NuMeA 1419/Université de Pau et Pays d'Adour, France), as well as Dr. Katie Gilmour (Department of Biology, University of Ottawa, Canada) for sharing tissue and/or RNA samples which form the basis for this meta-analysis. This research was supported through a MITACS Globalink Research/Campus France grant (#FR26557) awarded to DJK, as well as NSERC-DG (#147476) and CFI-JELF grants (#35859) awarded to JAM.
References (66)
- et al.
Epigenetics in teleost fish: from molecular mechanisms to physiological phenotypes
Comp. Biochem. Physiol. B: Biochem. Mol. Biol.
(2018) - et al.
Transcriptomic analysis of single isolated myofibers identifies miR-27a-3p and miR-142-3p as regulators of metabolism in skeletal muscle
Cell Rep.
(2019) - et al.
The miRNA interactome in metabolic homeostasis
Trends Endocrinol. Metab.
(2015) - et al.
Identification and characterization of microRNAs in the liver of rainbow trout in response to heat stress by high-throughput sequencing
Gene
(2018) A regulator of metabolic reprogramming: microRNA Let-7
Transl. Oncol.
(2019)- et al.
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
Cell
(1993) - et al.
Evolutionary history of DNA methylation related genes in chordates: new insights from multiple whole genome duplications
Sci. Rep.
(2020) - et al.
Economics of commercial trout production
Aquaculture, The Rainbow Trout
(1992) - et al.
Analysis of the expression, function, and evolution of miR-27 isoforms and their responses in metabolic processes
Genomics
(2019) - et al.
Loss of hepatic oscillatory fed microRNAs abrogates refed transition and causes liver dysfunctions
Cell Rep.
(2019)
Pck-ing up steam: widening the salmonid gluconeogenic gene duplication trail
Gene
Micromanaging metabolism-a role for miRNAs in teleost energy metabolism
Comp. Biochem. Physiol. B: Biochem. Mol. Biol.
MicroTrout: a comprehensive, genome-wide miRNA target prediction framework for rainbow trout, Oncorhynchus mykiss
Comp. Biochem. Physiol. Part D Genomics Proteomics
The let-7 family of microRNAs
Trends Cell Biol.
Potential regulation by miRNAs on glucose metabolism in liver of common carp (Cyprinus carpio) at different temperatures
Comp. Biochem. Physiol. Part D Genomics Proteomics
Caloric restriction induces microRNAs to improve mitochondrial proteostasis
iScience
The Lin28/let-7 axis regulates glucose metabolism
Cell
The rainbow trout genome provides novel insights into evolution after whole-genome duplication in vertebrates
Nat. Commun.
Temperature during early development has long-term effects on microRNA expression in Atlantic cod
BMC Genomics
Obesity-associated exosomal miRNAs modulate glucose and lipid metabolism in mice
PNAS
MiR-27a promotes insulin resistance and mediates glucose metabolism by targeting PPAR-γ-mediated PI3K/AKT signaling
Aging (Albany NY)
Ancient animal microRNAs and the evolution of tissue identity
Nature
Global introductions of salmon and trout in the genus Oncorhynchus: 1870–2007
Rev. Fish Biol. Fish.
MicroRNA expression varies according to glucose tolerance, measurement platform, and biological source [WWW document]
Biomed. Res. Int.
In-silico algorithms for the screening of possible microRNA binding sites and their interactions
Curr Genomics
MicroRNA targets in Drosophila
Genome Biol.
Unexpected effect of insulin on glucose disposal explains glucose intolerance of rainbow trout
Am. J. Phys. Regul. Integr. Comp. Phys.
Control of glucose homeostasis and insulin sensitivity by the Let-7 family of microRNAs
PNAS
Glucocorticoid modulation of mitochondrial function in hepatoma cells requires the mitochondrial fission protein Drp1
Antioxid. Redox Signal.
CREB-regulated miR-27b is linked to hepatic insulin resistance by targeting insulin/Akt signaling
FASEB J.
Differential expression patterns of growth-related microRNAs in the skeletal muscle of Nile tilapia (Oreochromis niloticus)
J. Anim. Sci.
Translational regulation of the mitochondrial genome following redistribution of mitochondrial microRNA (MitomiR) in the diabetic heart
Circ. Cardiovasc. Genet.
Embryonic temperature affects muscle fibre recruitment in adult zebrafish: genome-wide changes in gene and microRNA expression associated with the transition from hyperplastic to hypertrophic growth phenotypes
J. Exp. Biol.
Cited by (7)
The dynamic transcriptomic response of the goldfish brain under chronic hypoxia
2024, Comparative Biochemistry and Physiology - Part D: Genomics and ProteomicsSocial status-dependent regulation and function of the somatotropic axis in juvenile rainbow trout
2022, Molecular and Cellular EndocrinologyCitation Excerpt :Simple linear regressions and two-tailed Pearson correlation matrices were used to evaluate correlations of gene expression. Gene expression heatmaps and clustering analyses were created using the ClustVis tool (Metsalu and Vilo, 2015), as previously described (Kostyniuk and Mennigen, 2020). In silico analysis revealed the presence of two gh gene paralogues and four ghr receptors.
A cross-species comparative approach to assessing multi- and transgenerational effects of endocrine disrupting chemicals
2022, Environmental ResearchCitation Excerpt :They have significant economic importance as a sport fish and aquaculture species and is also the first salmonid with a sequenced genome (Berthelot et al., 2014). This advantage has spurred significant advances for the characterization and targeted investigation of epigenetic marks in the complex rainbow trout genome across different stages of its lifecycle, including histone modifications, DNA methylation (Marandel et al., 2016), and microRNAs (Juanchich et al., 2016; Kostyniuk et al.,2019a, 2019b, 2020). While developmental stages are well characterized (Vernier et al., 1969), the long time to reach sexual maturation (1–2 years), coupled with elaborate animal housing demands have so far limited the number of multi- and transgenerational studies in rainbow trout and related salmonid species.
Recent advances in comparative epigenetics
2021, Comparative Biochemistry and Physiology - Part D: Genomics and ProteomicsNoncoding RNAs in fish physiology and development: MiRNAs as a cornerstone in gene networks
2021, Cellular and Molecular Approaches in Fish Biology