Evidence map›Paper›PMID 23760645›Full record

ArticleProceedings. Biological sciences2013

The evolution of mutation rate in an antagonistic coevolutionary model with maternal transmission of parasites.

Philip B Greenspoon, Leithen K M'Gonigle

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Coevolutionary theory of hosts and parasites.Journal of evolutionary biology · 2022
    Review
  2. Haplotype Analysis ofFrontiers in insect science · 2021
    Article
  3. Article
  4. Article
  5. Host-parasite interactions and the evolution of nonrandom mating.Evolution; international journal of organic evolution · 2014
    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

2 authors.

Philip B GreenspoonDepartment of Biology, Stanford University, Stanford, CA 94305, USA. philipbg@stanford.edu
Leithen K M'Gonigle

Funding

POPULATION GENETICS THEORYR01GM028016 · NIGMS · STANFORD UNIVERSITY · PI FELDMAN, MARCUS W · 1985 to 2010
$2.5M
NIGMS NIH HHS GM 28016NIGMS NIH HHS R01 GM028016
6 · The paper itself

Abstract

By constantly selecting for novel genotypes, coevolution between hosts and parasites can favour elevated mutation rates. Models of this process typically assume random encounters. However, offspring are often more likely to encounter their mother's parasites. Because parents and offspring are genetically similar, they may be susceptible to the same parasite strains and thus, in hosts, maternal transmission should select for mechanisms that decrease intergenerational genetic similarity. In parasites, however, maternal transmission should select for genetic similarity. We develop and analyse a model of host and parasite mutation rate evolution when parasites are maternally inherited. In hosts, we find that maternal transmission has two opposing effects. First, it eliminates coevolutionary cycles that previous work shows select for higher mutation. Second, it independently selects for higher mutation rates, because offspring that differ from their mothers are more likely to avoid infection. In parasites, however, the two effects of maternal transmission act in the same direction. As for hosts, maternal transmission eliminates coevolutionary cycles, thereby reducing selection for increased mutation. Unlike for hosts, however, maternal transmission additionally selects against higher mutation by favouring parasite offspring that are the same as their mothers.

Indexed as

Models, GeneticMutation RateAnimalsBiological EvolutionComputer SimulationFemaleHost-Parasite InteractionsParasitesProbabilitycoevolutionmaternal effectsmodifier modelmutation rateparasites

Identifiers

PMID23760645
PMCPMC3652448

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.