Evidence map›Paper›PMID 30963950›Full record

ArticleProceedings. Biological sciences2019

Evolution of self-limited cell division of symbionts.

Yu Uchiumi, Hisashi Ohtsuki, Akira Sasaki

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Output Regulation and Function Optimization of Mitochondria in Eukaryotes.Frontiers in cell and developmental biology · 2020
    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

3 authors.

Yu Uchiumi1 Department of Evolutionary Studies of Biosystems, SOKENDAI (The Graduate University for Advanced Studies) , Hayama, Kanagawa 240-0193 , Japan.
Hisashi Ohtsuki1 Department of Evolutionary Studies of Biosystems, SOKENDAI (The Graduate University for Advanced Studies) , Hayama, Kanagawa 240-0193 , Japan.
Akira Sasaki1 Department of Evolutionary Studies of Biosystems, SOKENDAI (The Graduate University for Advanced Studies) , Hayama, Kanagawa 240-0193 , Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In mutualism between unicellular hosts and their endosymbionts, symbiont's cell division is often synchronized with its host's, ensuring the permanent relationship between endosymbionts and their hosts. The evolution of synchronized cell division thus has been considered to be an essential step in the evolutionary transition from symbionts to organelles. However, if symbionts would accelerate their cell division without regard for the synchronization with the host, they would proliferate more efficiently. Thus, it is paradoxical that symbionts evolve to limit their own division for synchronized cell division. Here, we theoretically explore the condition for the evolution of self-limited cell division of symbionts, by assuming that symbionts control their division rate and that hosts control symbionts' death rate by intracellular digestion and nutrient supply. Our analysis shows that symbionts can evolve to limit their own cell division. Such evolution occurs if not only symbiont's but also host's benefit through symbiosis is large. Moreover, the coevolution of hosts and symbionts leads to either permanent symbiosis where symbionts proliferate to keep pace with their host, or the arms race between symbionts that behave as lytic parasites and hosts that resist them by rapid digestion.

Indexed as

Biological CoevolutionCell DivisionModels, BiologicalSymbiosismutualismsymbiogenesissymbiosissynchronized cell divisionvertical transmissionvirulence

Identifiers

PMID30963950
PMCPMC6364591

What OpenQuestion holds

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Read underepoch 390

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.