Circular mitochondrial-encoded mRNAs are a distinct subpopulation of mitochondrial mRNA in Trypanosoma brucei

Clara M. Smoniewski, Poorya Mirzavand Borujeni, Austin Petersen, Marshall Hampton, Reza Salavati, Sara L. Zimmer

Research output: Contribution to journalArticlepeer-review

Abstract

Since the first identification of circular RNA (circRNA) in viral-like systems, reports of circRNAs and their functions in various organisms, cell types, and organelles have greatly expanded. Here, we report the first evidence, to our knowledge, of circular mRNA in the mitochondrion of the eukaryotic parasite, Trypanosoma brucei. While using a circular RT-PCR technique developed to sequence mRNA tails of mitochondrial transcripts, we found that some mRNAs are circularized without an in vitro circularization step normally required to produce PCR products. Starting from total in vitro circularized RNA and in vivo circRNA, we high-throughput sequenced three transcripts from the 3′ end of the coding region, through the 3′ tail, to the 5′ start of the coding region. We found that fewer reads in the circRNA libraries contained tails than in the total RNA libraries. When tails were present on circRNAs, they were shorter and less adenine-rich than the total population of RNA tails of the same transcript. Additionally, using hidden Markov modelling we determined that enzymatic activity during tail addition is different for circRNAs than for total RNA. Lastly, circRNA UTRs tended to be shorter and more variable than those of the same transcript sequenced from total RNA. We propose a revised model of Trypanosome mitochondrial tail addition, in which a fraction of mRNAs is circularized prior to the addition of adenine-rich tails and may act as a new regulatory molecule or in a degradation pathway.

Original languageEnglish (US)
Article number7825
JournalScientific reports
Volume13
Issue number1
DOIs
StatePublished - Dec 2023

Bibliographical note

Funding Information:
This work was supported by the resources and staff at the University of Minnesota Genomics Center ( https://genomics.umn.edu ). The authors would like to thank Drs. Jason Smoniewski and Daniel Levings for assistance with Bash and R scripts used in data analysis.

Publisher Copyright:
© 2023, The Author(s).

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

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