tRNA epitranscriptomics and biased codon are linked to proteome expression in Plasmodium falciparum

Chee Sheng Ng, Ameya Sinha, Yaw Aniweh, Qianhui Nah, Indrakanti Ramesh Babu, Chen Gu, Yok Hian Chionh, Peter C. Dedon*, Peter R. Preiser

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)

Abstract

Among components of the translational machinery, ribonucleoside modifications on tRNAs are emerging as critical regulators of cell physiology and stress response. Here, we demonstrate highly coordinated behavior of the repertoire of tRNA modifications of Plasmodium falciparum throughout the intra-erythrocytic developmental cycle (IDC). We observed both a synchronized increase in 22 of 28 modifications from ring to trophozoite stage, consistent with tRNA maturation during translational up-regulation, and asynchronous changes in six modifications. Quantitative analysis of ~2,100 proteins across the IDC revealed that up- and down-regulated proteins in late but not early stages have a marked codon bias that directly correlates with parallel changes in tRNA modifications and enhanced translational efficiency. We thus propose a model in which tRNA modifications modulate the abundance of stage-specific proteins by enhancing translation efficiency of codon-biased transcripts for critical genes. These findings reveal novel epitranscriptomic and translational control mechanisms in the development and pathogenesis of Plasmodium parasites.

Original languageEnglish
Article numbere8009
JournalMolecular Systems Biology
Volume14
Issue number10
DOIs
Publication statusPublished - Oct 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 The Authors. Published under the terms of the CC BY 4.0 license

ASJC Scopus Subject Areas

  • Information Systems
  • General Biochemistry,Genetics and Molecular Biology
  • General Immunology and Microbiology
  • General Agricultural and Biological Sciences
  • Computational Theory and Mathematics
  • Applied Mathematics

Keywords

  • Plasmodium falciparum
  • quantitative proteomics
  • tRNA modifications

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