Canonical host-pathogen tradeoffs subverted by mutations with dual benefits
dc.contributor.author | Beardmore, R | |
dc.contributor.author | Hewlett, M | |
dc.contributor.author | Pena-Miller, R | |
dc.contributor.author | Gudelj, I | |
dc.contributor.author | Meyer, J | |
dc.date.accessioned | 2022-11-14T12:14:03Z | |
dc.date.issued | 2023-04-10 | |
dc.date.updated | 2022-11-14T09:30:24Z | |
dc.description.abstract | Host-parasite coevolution is expected to drive the evolution of genetic diversity because the traits used in arms races, namely host range and parasite resistance, are hypothesized to tradeoff with traits used in resource competition. We therefore tested data for several tradeoffs among 93 isolates of bacteriophage λ and 51 Escherichia coli genotypes that coevolved during a labora- tory experiment. Surprisingly, we found multiple tradeups (positive trait correlations) but little evidence of several canonical tradeoffs. For example, some bacterial genotypes evaded a trade- off between phage resistance and absolute fitness, instead evolving simultaneous improvements in both traits. This was surprising because our experimental design was predicted to expose resistance-fitness tradeoffs by culturing E. coli in a medium where the phage receptor, LamB, is also used for nutrient acquisition. On reflection, LamB mediates not one but many tradeoffs, allowing for more complex trait interactions than just pairwise tradeoffs. Here, we report that mathematical reasoning and laboratory data highlight how tradeups should exist whenever an evolutionary system exhibits multiple interacting tradeoffs. Does this mean that coevolution should not promote genetic diversity? No, quite the contrary. We deduce that whenever posi- tive trait correlations are observed in multi-dimensional traits, other traits may trade off and so provide the right circumstances for diversity maintenance. Overall, this study reveals there are predictive limits when data only account for pairwise trait correlations and it argues that a wider range of circumstances than previously anticipated can promote genetic and species diversity. | en_GB |
dc.description.sponsorship | NSF-DEB | en_GB |
dc.description.sponsorship | European Research Council (ERC) | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.identifier.citation | Vol. 201 (5), pp. 659 - 679 | en_GB |
dc.identifier.doi | 10.1086/723413 | |
dc.identifier.grantnumber | 1934515 | en_GB |
dc.identifier.grantnumber | 647292 | en_GB |
dc.identifier.grantnumber | EP/T017856/1 | en_GB |
dc.identifier.grantnumber | EP/N033671/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/131771 | |
dc.identifier | ORCID: 0000-0003-1770-1009 (Beardmore, Robert) | |
dc.language.iso | en | en_GB |
dc.publisher | The University of Chicago Press | en_GB |
dc.relation.url | https://doi.org/10.6076/D1R30S | en_GB |
dc.rights | © 2023 The University of Chicago. Open access. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits non-commercial reuse of the work with attribution. For commercial use, contact journalpermissions@press.uchicago.edu. | en_GB |
dc.subject | Host-pathogen coevolution | en_GB |
dc.subject | life history tradeoffs | en_GB |
dc.title | Canonical host-pathogen tradeoffs subverted by mutations with dual benefits | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-11-14T12:14:03Z | |
dc.identifier.issn | 1537-5323 | |
dc.description | This is the final version. Available on open access from The University of Chicago Press via the DOI in this record | en_GB |
dc.description | Data and Code Accessibility: All non-genomic data and analysis codes implemented in Matlab R2021b (version 9.11.0.1873467 Update 3) have been posted to Dryad (https://datadryad.org/stash) with DOI 10.6076/D1R30S Matlab functions are controlled by two master scripts (see readMe.txt and supplementary text ‘Descriptions of how to use data and scripts to generate all figures’) that (i) import all raw data and (ii) produce all figures following a single click in the Matlab command window. Scripts are m files, figures are PDF, data are available in CSV, XLS and MAT formats, image data is published as TIF or JPG. Genomic data is deposited in ENA with study accession number PRJEB47962 and study unique name: ena-STUDY-UC SAN DIEGO-07-10-2021-01:17:54:061-18 | en_GB |
dc.identifier.journal | The American Naturalist | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | en_GB |
dcterms.dateAccepted | 2022-08-24 | |
dcterms.dateSubmitted | 2021-10-07 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2022-08-24 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-11-14T12:00:21Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2023-05-04T11:08:25Z | |
refterms.panel | A | en_GB |
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Except where otherwise noted, this item's licence is described as © 2023 The University of Chicago. Open access. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits non-commercial reuse of the work with attribution. For commercial use, contact journalpermissions@press.uchicago.edu.