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ZENODO
Dataset . 2018
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2018
License: CC 0
Data sources: Datacite
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Data from: Mutual fitness benefits arise during coevolution in a nematode-defensive microbe model

Authors: Rafaluk-Mohr, Charlotte; Ashby, Ben; Dahan, Dylan A.; King, Kayla C.;

Data from: Mutual fitness benefits arise during coevolution in a nematode-defensive microbe model

Abstract

Species interactions can shift along the parasitism-mutualism continuum. However, the consequences of these transitions for coevolutionary interactions remain unclear. We experimentally coevolved a novel species interaction between Caenorhabditis elegans hosts and a mildly parasitic bacterium, Enterococcus faecalis, with host-protective properties against virulent Staphylococcus aureus. Coinfections drove the evolutionary transition of the C.elegans-E. faecalis relationship towards a reciprocally beneficial interaction. As E. faecalis evolved to protect nematodes against S. aureus infection, hosts adapted by accommodating greater numbers of protective bacteria. The mutualism was strongest in pairings of contemporary coevolved populations. To generally assess the conditions under which these defensive mutualisms can arise and coevolve, we analysed a model which showed that they are favoured when mild parasites confer an intermediate level of protection. Our results reveal that coevolution can shape the transition of animal-parasite interactions towards defensive symbioses in response to co-infections.

All data from " Mutual fitness benefits arise during coevolution in a nematode-microbe model"Excel file of data, one spreadsheet per figure.Data_Dryad.xlsx

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Keywords

host-parasite interactions, Microbes, Staphylococcus aureus, Enterococcus faecalis, Caenorhabditis elegans, Coevolution

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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