Evidence map›Paper›PMID 38228651›Full record

ArticleScientific reports2024

Genesis of ectosymbiotic features based on commensalistic syntrophy.

Nandakishor Krishnan, Villő Csiszár, Tamás F Móri, József Garay

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 3 institutions in 1 country.

Nandakishor KrishnanHUN-REN Centre for Ecological Research, Institute of Evolution, Konkoly-Thege M. Út 29-33, Budapest, 1121, Hungary. nandakishor.kris@gmail.com.
Villő CsiszárDepartment of Probability Theory and Statistics, Eötvös Loránd University, Pázmány Péter Sétány 1/C, Budapest, 1117, Hungary.
Tamás F MóriHUN-REN Alfréd Rényi Institute of Mathematics, Reáltanoda U. 13-15, Budapest, 1053, Hungary.
József GarayHUN-REN Centre for Ecological Research, Institute of Evolution, Konkoly-Thege M. Út 29-33, Budapest, 1121, Hungary.
Eötvös Loránd University · HUAlfréd Rényi Institute of Mathematics · HUHUN-REN Centre for Ecological Research · HU

Funding

Horizon 2020 955708NKFIH 125569
6 · The paper itself

Abstract

The symbiogenetic origin of eukaryotes with mitochondria is considered a major evolutionary transition. The initial interactions and conditions of symbiosis, along with the phylogenetic affinity of the host, are widely debated. Here, we focus on a possible evolutionary path toward an association of individuals of two species based on unidirectional syntrophy. With the backing of a theoretical model, we hypothesize that the first step in the evolution of such symbiosis could be the appearance of a linking structure on the symbiont's membrane, using which it forms an ectocommensalism with its host. We consider a commensalistic model based on the syntrophy hypothesis in the framework of coevolutionary dynamics and mutant invasion into a monomorphic resident system (evolutionary substitution). We investigate the ecological and evolutionary stability of the consortium (or symbiotic merger), with vertical transmissions playing a crucial role. The impact of the 'effectiveness of vertical transmission' on the dynamics is also analyzed. We find that the transmission of symbionts and the additional costs incurred by the mutant determine the conditions of fixation of the consortia. Additionally, we observe that small and highly metabolically active symbionts are likely to form the consortia.

Indexed as

EukaryotaSymbiosisBiological EvolutionHumansMitochondriaPhylogeny

Identifiers

PMID38228651
PMCPMC10791676
OpenAlexW4390911016

What OpenQuestion holds

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Registered trials

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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.