Evidence map›Paper›PMID 36632145›Full record

ArticlePeerJ2023

On the origin of mitochondria: a multilayer network approach.

Dérick Gabriel F Borges, Daniel S Carvalho, Gilberto C Bomfim, Pablo Ivan P Ramos, Jerzy Brzozowski, Aristóteles Góes-Neto, Roberto Andrade, Charbel El-Hani

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. PathogenicJournal of bacteriology · 2024
    Review
  5. Cardiovascular aging: spotlight on mitochondria.American journal of physiology. Heart and circulatory physiology · 2024
    Review
  6. Review
  7. Review
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

8 authors at 4 institutions in 1 country.

Dérick Gabriel F BorgesInstitute of Physics, Federal University of Bahia, Salvador, Bahia, Brazil.ORCID 0000-0001-7627-4452
Daniel S CarvalhoInstitute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0001-6590-4287
Gilberto C BomfimInstitute of Biology, Federal University of Bahia, Salvador, Bahia, Brazil.ORCID 0000-0002-0053-3574
Pablo Ivan P RamosGonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.ORCID 0000-0002-9075-7861
Jerzy BrzozowskiPhilosophy Department, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.ORCID 0000-0002-8667-9530
Aristóteles Góes-NetoInstitute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0002-7692-6243
Roberto AndradeInstitute of Physics, Federal University of Bahia, Salvador, Bahia, Brazil.ORCID 0000-0002-9323-1400
Charbel El-HaniInstitute of Biology, Federal University of Bahia, Salvador, Bahia, Brazil.ORCID 0000-0002-2308-3983
Universidade Federal da Bahia · BRUniversidade Federal de Minas Gerais · BRFundação Oswaldo Cruz · BRUniversidade Federal de Santa Catarina · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Backgound: The endosymbiotic theory is widely accepted to explain the origin of mitochondria from a bacterial ancestor. While ample evidence supports the intimate connection of Alphaproteobacteria to the mitochondrial ancestor, pinpointing its closest relative within sampled Alphaproteobacteria is still an open evolutionary debate. Many different phylogenetic methods and approaches have been used to answer this challenging question, further compounded by the heterogeneity of sampled taxa, varying evolutionary rates of mitochondrial proteins, and the inherent biases in each method, all factors that can produce phylogenetic artifacts. By harnessing the simplicity and interpretability of protein similarity networks, herein we re-evaluated the origin of mitochondria within an enhanced multilayer framework, which is an extension and improvement of a previously developed method. Methods: We used a dataset of eight proteins found in mitochondria ( Results: In our network-based analysis, we first examined the topology of the 8-layer multiplex when mitochondrial sequences disconnected from the main alphaproteobacterial cluster. The resulting topology lent firm support toward an Alphaproteobacteria-sister placement for mitochondria, reinforcing the hypothesis that mitochondria diverged from the common ancestor of all Alphaproteobacteria. Additionally, we observed that the divergence of Rickettsiales was an early event in the evolutionary history of alphaproteobacterial clades. Conclusion: By leveraging complex networks methods to the challenging question of circumscribing mitochondrial origin, we suggest that the entire Alphaproteobacteria clade is the closest relative to mitochondria (Alphaproteobacterial-sister hypothesis), echoing recent findings based on different datasets and methodologies.

Indexed as

AlphaproteobacteriaMitochondriaBiological EvolutionGenes, MitochondrialPhylogenyComplex networksEvolutionMitochondria

Identifiers

PMID36632145
PMCPMC9828282
OpenAlexW4313641229

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.