Trade-off Geometries and Frequency-Dependent Selection

Mazancourt, de; Dieckmann, Mark E

doi:10.2307/3473235

Cited by 68 publications

(115 citation statements)

References 7 publications

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“…The markedly nonlinear shape of the trade-off indicates that elevation of competitiveness requires high susceptibility to antibacterial agents and high membrane permeability. The geometry of the trade-off also has important evolutionary consequences (Levins, 1968;de Mazancourt and Dieckmann, 2004) and if a convex shape as in Figure 4 is found, a tendency to evolve into a generalist is favoured in the evolution of the phenotypes (Levins, 1968). Indeed, the majority of the ECOR strains are not at the extremes of stress resistance or nutritional competitiveness, so most E. coli isolates are at least part generalists, accommodating intermediate levels of stress and competitiveness.…”

Section: Discussionmentioning

confidence: 99%

A design-constraint trade-off underpins the diversity in ecologically important traits in species Escherichia coli

Phan

Ferenci

2013

The ISME Journal

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Bacterial species are internally diverse in genomic and multi-locus gene comparisons. The ecological causes of phenotypic and genotypic diversity within species are far less well understood. Here, we focus on the competitive fitness for growth on nutrients within Escherichia coli, an internally rich species. Competition experiments in nutrient-limited chemostats revealed that members of the ECOR collection exhibited a wide continuum of competitive abilities, with some fitter and some less fit than the lab strain MG1655. We observed an inverse relationship between competitiveness and the resistance of strains to detergent and antibiotic, consistent with the notion that membrane permeability and competitive fitness are linked by a trade-off between selfpreservation and nutritional competence (SPANC); high permeability has a postulated cost in antibacterial sensitivity whereas a low permeability has a cost in nutrient affinity. Isolates moved along the markedly nonlinear trade-off curve by mutational adaptation; an ECOR strain sensitive to antibacterials and a good competitor was easily converted by mutation into a mutant with higher resistance but poorer competition in the presence of low antibiotic concentrations. Conversely, a resistant ECOR strain changed into a better competitor after a short period of selection under nutrient limitation. In both directions, mutations can affect porin proteins and outer membrane permeability, as indicated by protein analysis, gene sequencing and an independent assay of outer membrane permeability. The extensive, species-wide diversity of E. coli in ecologically important traits can thus be explained as an evolutionary consequence of a SPANC trade-off driven by antagonistic pleiotropy.

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Section: Discussionmentioning

confidence: 99%

A design-constraint trade-off underpins the diversity in ecologically important traits in species Escherichia coli

Phan

Ferenci

2013

The ISME Journal

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“…Our examples are strongly inspired by the models of Wilson and Yoshimura (1994), Egas et al (2004), Parvinen and Egas (2004) and de Mazancourt and Dieckmann (2004). In this section we develop a two-habitat version of the logistic and the Ricker equation from first principles.…”

Section: Two Examplesmentioning

confidence: 99%

“…Invasion is a population dynamical process and, when evolution is studied by means of mathematical models, therefore has to be inferred from a population dynamical model. In the recent literature several studies have appeared that analyze the evolution of habitat specialization using either the Ricker equation (Wilson and Yoshimura 1994;Egas et al 2004) or the logistic equation (Parvinen and Egas 2004;de Mazancourt and Dieckmann 2004) to describe habitat-specific population growth. In these models habitat specialization is subject to a tradeoff, such that a high value in the carrying capacity or the intrinsic growth rate in one habitat is bought at the expense of a low carrying capacity or growth rate in the other habitat.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Predictions Should Be Based on Individual‐Level Traits

Rueffler¹,

Egas²,

Metz³

2006

The American Naturalist

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“…The following results therefore rely on numerical simulations. Several studies have already highlighted the importance of trade-off structure when the evolution of constrained traits is considered (Bowers & White 2002;de Mazancourt & Dieckmann 2004;Egas et al 2004). Similarly, the structure of the trade-off between maximum transmission rate b max and transmission sensitivity to climatic fluctuations c in this model, influences the stability of the evolutionary singular points of the pathogen's seasonal phenotype (see Electronic Appendix figure and text).…”

Section: The Modelmentioning

confidence: 99%

Pathogen adaptation to seasonal forcing and climate change

2005

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Many diverse infectious diseases exhibit seasonal dynamics. Seasonality in disease incidence has been attributed to seasonal changes in pathogen transmission rates, resulting from fluctuations in extrinsic climate factors. Multi-strain infectious diseases with strain-specific seasonal signatures, such as cholera, indicate that a range of seasonal patterns in transmission rates is possible in identical environments. We therefore consider pathogens capable of evolving their 'seasonal phenotype', a trait that determines the sensitivity of their transmission rates to environmental variability. We introduce a theoretical framework, based on adaptive dynamics, for predicting the evolution of disease dynamics in seasonal environments. Changes in the seasonality of environmental factors are one important avenue for the effects of climate change on disease. This model also provides a framework for examining these effects on pathogen evolution and associated disease dynamics. An application of this approach gives an explanation for the recent cholera strain replacement in Bangladesh, based on changes in monsoon rainfall patterns.

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Trade-off Geometries and Frequency-Dependent Selection

Cited by 68 publications

References 7 publications

A design-constraint trade-off underpins the diversity in ecologically important traits in species Escherichia coli

A design-constraint trade-off underpins the diversity in ecologically important traits in species Escherichia coli

Evolutionary Predictions Should Be Based on Individual‐Level Traits

Pathogen adaptation to seasonal forcing and climate change

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