Evidence map›Paper›PMID 33297939›Full record

ArticleBMC evolutionary biology2020

Mitochondrial DNAs provide insight into trypanosome phylogeny and molecular evolution.

C Kay, T A Williams, W Gibson

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. The Complete Mitochondrial Genome Sequence ofLife (Basel, Switzerland) · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Genetic Diversity ofMicroorganisms · 2022
    Article
  13. Mitochondrial RNA editing inComputational and structural biotechnology journal · 2022
    Article
  14. MonomorphicMicrobial genomics · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

C KaySchool of Biological Sciences, University of Bristol, Bristol, UK. chris.kay@bristol.ac.uk.
T A WilliamsSchool of Biological Sciences, University of Bristol, Bristol, UK.
W GibsonSchool of Biological Sciences, University of Bristol, Bristol, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/R016437/1
6 · The paper itself

Abstract

backgroundTrypanosomes are single-celled eukaryotic parasites characterised by the unique biology of their mitochondrial DNA. African livestock trypanosomes impose a major burden on agriculture across sub-Saharan Africa, but are poorly understood compared to those that cause sleeping sickness and Chagas disease in humans. Here we explore the potential of the maxicircle, a component of trypanosome mitochondrial DNA to study the evolutionary history of trypanosomes.

resultsWe used long-read sequencing to completely assemble maxicircle mitochondrial DNA from four previously uncharacterized African trypanosomes, and leveraged these assemblies to scaffold and assemble a further 103 trypanosome maxicircle gene coding regions from published short-read data. While synteny was largely conserved, there were repeated, independent losses of Complex I genes. Comparison of pre-edited and non-edited genes revealed the impact of RNA editing on nucleotide composition, with non-edited genes approaching the limits of GC loss. African tsetse-transmitted trypanosomes showed high levels of RNA editing compared to other trypanosomes. The gene coding regions of maxicircle mitochondrial DNAs were used to construct time-resolved phylogenetic trees, revealing deep divergence events among isolates of the pathogens Trypanosoma brucei and T. congolense.

conclusionsOur data represents a new resource for experimental and evolutionary analyses of trypanosome phylogeny, molecular evolution and function. Molecular clock analyses yielded a timescale for trypanosome evolution congruent with major biogeographical events in Africa and revealed the recent emergence of Trypanosoma brucei gambiense and T. equiperdum, major human and animal pathogens.

Indexed as

Evolution, MolecularPhylogenyTrypanosomaAfricaDNA, MitochondrialDNA, MitochondrialKinetoplastMaxicircleMitochondrial DNAPhylogenyRNA editingTrypanosome

Identifiers

PMID33297939
PMCPMC7724854

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.