Skip to main content
Log in

Liver-Specific microRNA Identification in Farmed Carp, Labeo bata (Hamilton, 1822), Fed with Starch Diet Using High-Throughput Sequencing

  • Short Communication
  • Published:
Marine Biotechnology Aims and scope Submit manuscript

Abstract

The liver is an important central organ, which controls carbohydrate metabolism through maintaining glucose homeostasis by a tightly regulated system of genes or enzymes. The microRNAs are small non-coding RNAs playing an important role in the regulation of genes associated with developmental biology, physiology, metabolism, etc. Thus, in this study, we have intended to detect liver-specific microRNAs in farmed carp, Labeo bata, upon being fed a diet with different levels of carbohydrates. Here, we have conducted the experiment for 45 days using fingerlings of farmed carp fed with 20% (control), 40%, and 60% gelatinized starch levels. The liver tissues were collected from each treatment and processed for RNA isolation, small RNA library preparation, and high-throughput sequencing using Illumina NexSeq500. Through sequencing, 15,779,417 reads in 20% CHO, 13,959,039 in 40% CHO, and 13,661,950 in 60% CHO reads were generated for control and treated fishes using three small RNA libraries. We have investigated 445 novel and 231 conserved microRNAs in 20%, 40%, and 60% carbohydrate (CHO), respectively, through computational analysis. The differential expression analysis of miRNAs was carried out between different treatments compared with control and this study depicted 117 known and 114 novel miRNA genes involved in carbohydrate metabolic pathways. Further, target prediction and gene ontology analysis revealed that miRNAs were involved in several pathways such as signaling pathway, G protein pathway, complement receptor–mediated pathway, dopamine receptor signaling pathway, epidermal growth factor pathway, and notch signaling pathway. The predicted miRNA sites in targeted genes were associated with cellular activities, developmental biology, DNA binding, Golgi apparatus, extracellular region, catalytic activity, MAPK cascade, etc. Overall, we have generated a vital resource of liver-specific miRNAs involved in metabolic gene regulation. These studies further will help develop miRNA inhibitors to study their role during carbohydrate metabolism in farmed carp.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Abbreviations

NGS:

Next-generation sequencing

qRT PCR:

Real-time quantitative reverse transcription PCR

nt:

Nucleotides

LN2 :

Liquid nitrogen

TPM:

Transcripts per million

CHO:

Carbohydrate

DEMs:

Differentially expressed miRNAs

UTR:

Untranslated region

GO:

Gene ontology

AMPK:

AMP-activated protein kinase

G6PC:

Glucose-6-phosphatase

PK:

Pyruvate kinase

PCK1:

Phosphoenolpyruvatecarboxykinase

JAK/STAT:

Janus kinase/signal transducers and activators of transcription

MAPK:

Mitogen-activated protein kinases

References

  • Agarwal V, Bell GW, Nam J-W, Bartel DP (2015) Predicting effective microRNA target sites in mammalian mRNAs. eLife 4:e05005

    Article  PubMed Central  Google Scholar 

  • Bizuayehu TT, Babiak I (2014) MicroRNA in teleost fish. Genome biology and evolution 6:1911–1937

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Cui L, Hu H, Wei W, Wang W, Liu H (2016) Identification and characterization of microRNAs in the liver of blunt snout bream (Megalobrama amblycephala) infected by Aeromonas hydrophila. Int J Mol Sci 17:1972

    Article  CAS  PubMed Central  Google Scholar 

  • Deng Y, Li X, Feng J, Zhang X (2018) Overexpression of miR-202 resensitizes imatinib resistant chronic myeloid leukemia cells through targetting Hexokinase 2. Biosci Rep 38. https://doi.org/10.1042/BSR20171383

  • Girard M, Jacquemin E, Munnich A, Lyonnet S, Henrion-Caude A (2008) miR-122, a paradigm for the role of microRNAs in the liver. J Hepatol 48:648–656

    Article  CAS  PubMed  Google Scholar 

  • Gomes F, Watanabe L, Nozawa S, Oliveira L, Cardoso J, Vianez J, Nunes M, Schneider H, Sampaio I (2017) Identification and characterization of the expression profile of the microRNAs in the Amazon species Colossoma macropomum by next generation sequencing. Genomics 109:67–74

    Article  CAS  PubMed  Google Scholar 

  • Hanin G, Yayon N, Tzur Y, Haviv R, Bennett ER, Udi S, Krishnamoorthy YR, Kotsiliti E, Zangen R, Efron B, Tam J, Pappo O, Shteyer E, Pikarsky E, Heikenwalder M, Greenberg DS, Soreq H (2018) miRNA-132 induces hepatic steatosis and hyperlipidaemia by synergistic multitarget suppression. Gut 67:1124–1134

    Article  CAS  PubMed  Google Scholar 

  • Herkenhoff ME, Oliveira AC, Nachtigall PG, Costa JM, Campos VF, Hilsdorf AWS, Pinhal D (2018) Fishing into the microRNA transcriptome. Front Genet 9. https://doi.org/10.3389/fgene.2018.00088

  • Kamalam BS, Medale F, Panserat S (2017) Utilisation of dietary carbohydrates in farmed fishes: new insights on influencing factors, biological limitations and future strategies. Aquaculture 467:3–27

    Article  CAS  Google Scholar 

  • Krüger J, Rehmsmeier M (2006) RNAhybrid: microRNA target prediction easy, fast and flexible. Nucleic Acids Res 34:W451–W454

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Lau K, Lai KP, Bao JY, Zhang N, Tse A, Tong A, Li JW, Lok S, Kong RY, Lui WY, Wong A, Wu RS (2014) Identification and expression profiling of microRNAs in the brain, liver and gonads of marine medaka (Oryzias melastigma) and in response to hypoxia. PLoS One 9:e110698

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Liu AM, Xu Z, Shek FH, Wong KF, Lee NP, Poon RT, Chen J, Luk JM (2014) miR-122 targets pyruvate kinase M2 and affects metabolism of hepatocellular carcinoma. PloS one 9:e86872

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Massart J, Sjogren RJO, Lundell LS, Mudry JM, Franck N, O'gorman DJ, Egan B, Zierath JR, Krook A (2017) Altered miR-29 expression in type 2 diabetes influences glucose and lipid metabolism in skeletal muscle. Diabetes 66:1807–1818

    Article  CAS  PubMed  Google Scholar 

  • Miao LH, Lin Y, Pan WJ, Huang X, Ge XP, Ren MC, Zhou QL, Liu B (2017) Identification of differentially expressed microRNAs associate with glucose metabolism in different organs of blunt snout bream (Megalobrama amblycephala). Int J Mol Sci 18. https://doi.org/10.3390/ijms18061161

  • Nrc (2011) Nutrient requirements of fish and shrimp. National Academies Press, Washington, D. C.

    Google Scholar 

  • Prisingkorn W, Prathomya P, Jakovlic I, Liu H, Zhao YH, Wang WM (2017) Transcriptomics, metabolomics and histology indicate that high-carbohydrate diet negatively affects the liver health of blunt snout bream (Megalobrama amblycephala). BMC Genomics 18:856

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Ramirez CM, Goedeke L, Rotllan N, Yoon JH, Cirera-Salinas D, Mattison JA, Suarez Y, De Cabo R, Gorospe M, Fernandez-Hernando C (2013) MicroRNA 33 regulates glucose metabolism. Mol Cell Biol 33:2891–2902

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Rasal KD, Nandanpawar PC, Swain P, Badhe MR, Sundaray JK, Jayasankar P (2016) MicroRNA in aquaculture fishes: a way forward with high-throughput sequencing and a computational approach. Rev Fish Biol Fish 26:199–212

    Article  Google Scholar 

  • Ren M, Habte-Tsion H-M, Xie J, Liu B, Zhou Q, Ge X, Pan L, Chen R (2015) Effects of dietary carbohydrate source on growth performance, diet digestibility and liver glucose enzyme activity in blunt snout bream, Megalobrama amblycephala. Aquaculture 438:75–81

    Article  CAS  Google Scholar 

  • Rui L (2014) Energy metabolism in the liver. Compr Physiol 4:177–197

    Article  PubMed  PubMed Central  Google Scholar 

  • Vienberg S, Geiger J, Madsen S, Dalgaard LT (2017) MicroRNAs in metabolism. Acta Physiol 219:346–361

    Article  CAS  Google Scholar 

  • Zhao L, Lu H, Meng Q, Wang J, Wang W, Yang L, Lin L (2016) Profilings of microRNAs in the liver of common carp (Cyprinus carpio) infected with Flavobacterium columnare. Int J Mol Sci 17:566

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

We are thankful to Director, ICAR-Central Institute of Freshwater Aquaculture, Bhubaneswar and Director, ICAR-IASRI, New Delhi, for providing the facility to undertake this work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jitendra Kumar Sundaray.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic Supplementary Material

Supplementary Fig. S1

Abundance of reads mapped to Rfam (Family Distribution) (PNG 31730 kb)

High resolution image (TIF 22001 kb)

Supplementary Fig. S2

Real-time PCR studies for selected miRNAs. (PNG 133 kb)

High resolution image (TIF 23304 kb)

Supplementary Fig. S3

Venn diagram illustrations common and unique miRNA present in 20 (control), 40 and 60% of high CHO from the liver tissue of L. bata (PNG 6793 kb)

High resolution image (TIF 25291 kb)

Supplementary Fig. S4

GO enrichment analysis of target genes by miRNAs depicted in the bar chart, which indicates enriched GO terms with y-axis represent the total number of differentially expressed miRNAs and x-axis represents different GO terms such as biological process, cellular component and molecular function. (PNG 659 kb)

High resolution image (TIF 24363 kb)

Supplementary Table 1

(DOCX 13 kb)

Supplementary Table 2

(DOCX 14 kb)

Supplementary Table 3

(XLSX 95 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rasal, K.D., Iquebal, M.A., Jaiswal, S. et al. Liver-Specific microRNA Identification in Farmed Carp, Labeo bata (Hamilton, 1822), Fed with Starch Diet Using High-Throughput Sequencing. Mar Biotechnol 21, 589–595 (2019). https://doi.org/10.1007/s10126-019-09912-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10126-019-09912-y

Keywords

Navigation