Transcriptome-wide miRNA identification of Bacopa monnieri: a cross-kingdom approach

Plant Signal Behav. 2020;15(1):1699265. doi: 10.1080/15592324.2019.1699265. Epub 2019 Dec 4.

Abstract

Bacopa monnieri known as 'Brahmi' is a well-known medicinal plant belonging to Scrophulariaceae family for its nootropic properties. To the best of our knowledge, no characterization data is available on the potential role of micro RNAs (miRNAs) from this plant till date. We present here the first report of computational characterizations of miRNAs from B. monnieri. Owing to the high conservation of miRNAs in nature, new and potential miRNAs can be identified in plants using in silico techniques. Using the plant miRNA sequences present in the miRBase repository, a total of 12 miRNAs were identified from B. monnieri which pertained to 11 miRNA families from the shoot and root transcriptome data. Furthermore, gene ontology analysis of the identified 68 human target genes exhibited significance in various biological processes. These human target genes were associated with signaling pathways like NF-kB and MAPK with TRAF2, CBX1, IL1B, ITGA4 and ITGB1BP1 as the top five hub nodes. This cross-kingdom study provides initial insights about the potential of miRNA-mediated cross-kingdom regulation and unravels the essential target genes of human with implications in numerous human diseases including cancer.

Keywords: Bacopa monnieri; Cross-kingdom; Medicinal Plant; Transcriptome; miRNA.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bacopa / genetics*
  • Bacopa / metabolism*
  • Chromobox Protein Homolog 5
  • Gene Ontology
  • Humans
  • MicroRNAs / genetics
  • MicroRNAs / metabolism*
  • Transcriptome / genetics*

Substances

  • CBX1 protein, human
  • MicroRNAs
  • Chromobox Protein Homolog 5

Grants and funding

This work was financially supported by the Financial Assistance Programme – Gujarat State Biotechnology Mission, Gujarat, India [grant number GSBTM/FAP/1443] and Department of Science and Technology [grant number GSBTM/MD/JDR/1409/2017-18].