Evidence map›Paper›PMID 23815644›Full record

ArticleEvolution; international journal of organic evolution2013

Temporal dynamics of outcrossing and host mortality rates in host-pathogen experimental coevolution.

Levi T Morran, Raymond C Parrish, Ian A Gelarden, Curtis M Lively

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  3. Review
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  11. The ecology of sexual reproduction.Journal of evolutionary biology · 2014
    Review
  12. Review
  13. 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

4 authors.

Levi T MorranDepartment of Biology, Indiana University, Bloomington, IN, USA. lmorran@indiana.edu
Raymond C Parrish
Ian A Gelarden
Curtis M Lively

Funding

Empirical Tests and Genomic Analysis of the Constraints Imposed by Coevolution WiF32GM096482 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI MORRAN, LEVI T · 2011 to 2013
$151k
NIGMS NIH HHS 1F32GM096482-01NIGMS NIH HHS F32 GM096482
6 · The paper itself

Abstract

Cross-fertilization is predicted to facilitate the short-term response and the long-term persistence of host populations engaged in antagonistic coevolutionary interactions. Consistent with this idea, our previous work has shown that coevolving bacterial pathogens (Serratia marcescens) can drive obligately selfing hosts (Caenorhabditis elegans) to extinction, whereas the obligately outcrossing and partially outcrossing populations persisted. We focused the present study on the partially outcrossing (mixed mating) and obligately outcrossing hosts, and analyzed the changes in the host resistance/avoidance (and pathogen infectivity) over time. We found that host mortality rates increased in the mixed mating populations over the first 10 generations of coevolution when outcrossing rates were initially low. However, mortality rates decreased after elevated outcrossing rates evolved during the experiment. In contrast, host mortality rates decreased in the obligately outcrossing populations during the first 10 generations of coevolution, and remained low throughout the experiment. Therefore, predominant selfing reduced the ability of the hosts to respond to coevolving pathogens compared to outcrossing hosts. Thus, we found that host-pathogen coevolution can generate rapid evolutionary change, and that host mating system can influence the outcome of coevolution at a fine temporal scale.

Indexed as

Biological EvolutionHost-Pathogen InteractionsAnimalsCaenorhabditis elegansSerratia marcescensAdaptationexperimental selectionmating systemsparasitism

Identifiers

PMID23815644
PMCPMC3703891

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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.