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FluctEvol SIGNED

Fluctuating selection, evolution, and plasticity in random environments

Total Cost €

0

EC-Contrib. €

0

Partnership

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 FluctEvol project word cloud

Explore the words cloud of the FluctEvol project. It provides you a very rough idea of what is the project "FluctEvol" about.

accumulation    dynamics    bioindustry    magnitude    alga    extremophile    interface    glycerol    species    phenotype    shedding    automated    quantitative    fluctuations    modified    relevance    adaptive    experiments    plastic    throughput    environmental    potentially    power    empirical    evolutionary    light    sequencing    productivity    dunaliella    natural    hampered    warranted    carotene    random    combination    predictions    eco    impacts    designed    prediction    manipulate    pi    salinities    phenotyping    hypothesis    populations    models    environments    predictability    replication    analysed    metabolites    experimental    first    ecologically    fluctevol    generations    thrives    predictive    demography    variation    priori    micro    ample    modify    datasets    salinity    climate    cell    gene    meta    traits    content    stochastic    employed    candidate    energetic    overcoming    microbes    optimum    plasticity    population    limitations    predicting    temporal    academia    salina    direct    theoretical    producing    statistical    lack    evolution    changing    combine    benefits   

Project "FluctEvol" data sheet

The following table provides information about the project.

Coordinator
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS 

Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794
website: www.cnrs.fr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 1˙499˙665 €
 EC max contribution 1˙499˙665 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-STG
 Funding Scheme ERC-STG
 Starting year 2016
 Duration (year-month-day) from 2016-03-01   to  2021-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) coordinator 1˙499˙665.00

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 Project objective

Temporal environmental variation in natural systems includes a large component of random fluctuations, the magnitude and predictability of which is modified under current climate change. The need for predicting eco-evolutionary impacts of plastic and evolutionary responses to changing environments is still hampered by lack of strong experimental evidence. FluctEvol aims at shedding a new light on population responses to stochastic environments, and facilitating their prediction, using a unique combination of approaches. First, theoretical models of evolution and demography under a randomly changing optimum phenotype will be designed and analysed, producing new quantitative predictions. Second, statistical methodologies will be developed, and employed in meta-analyses of long-term datasets from natural populations. And third, large-scale and automated experimental evolution in stochastic environments will be carried out with the micro-alga Dunaliella salina, an extremophile that thrives at high and variable salinities. We will manipulate the magnitude and predictability of fluctuations in salinity, and use high-throughput phenotyping and candidate-gene sequencing to analyse the evolution of plasticity for traits involved in salinity adaptation in this species: glycerol and carotene content. We will thus combine the benefits of experimental evolution in microbes (short generations, ample replication) with a priori knowledge of ecologically relevant adaptive traits, allowing for hypothesis-driven experiments. The success of this project in increasing our predictive power about eco-evolutionary dynamics is warranted by the experience of the PI, at the interface between theoretical and empirical approaches. Our experiments will have relevance beyond academia, as we will modify through evolution the plasticity of traits (accumulation of energetic cell metabolites) that are direct targets for bioindustry, thus potentially overcoming current limitations in productivity.

 Publications

year authors and title journal last update
List of publications.
2018 Artur Rego-Costa, Florence Débarre, Luis-Miguel Chevin
Chaos and the (un)predictability of evolution in a changing environment
published pages: 375-385, ISSN: 0014-3820, DOI: 10.1111/evo.13407
Evolution 72/2 2019-07-08
2017 Suzanne Bonamour, Céline Teplitsky, Anne Charmantier, Pierre-André Crochet, Luis-Miguel Chevin
Selection on skewed characters and the paradox of stasis
published pages: , ISSN: 0014-3820, DOI: 10.1111/evo.13368
Evolution 2019-07-08
2018 Yoann Anciaux, Luis-Miguel Chevin, Ophélie Ronce, Guillaume Martin
Evolutionary Rescue over a Fitness Landscape
published pages: 265-279, ISSN: 0016-6731, DOI: 10.1534/genetics.118.300908
Genetics 209/1 2019-07-08
2016 Jaime Ashander, Luis-Miguel Chevin, Marissa L. Baskett
Predicting evolutionary rescue via evolving plasticity in stochastic environments
published pages: 20161690, ISSN: 0962-8452, DOI: 10.1098/rspb.2016.1690
Proceedings of the Royal Society B: Biological Sciences 283/1839 2019-07-08
2017 Luis-Miguel Chevin, Olivier Cotto, Jaime Ashander
Stochastic Evolutionary Demography under a Fluctuating Optimum Phenotype
published pages: 000-000, ISSN: 0003-0147, DOI: 10.1086/694121
The American Naturalist 2019-07-08
2017 Luis-Miguel Chevin, Ary A. Hoffmann
Evolution of phenotypic plasticity in extreme environments
published pages: 20160138, ISSN: 0962-8436, DOI: 10.1098/rstb.2016.0138
Philosophical Transactions of the Royal Society B: Biological Sciences 372/1723 2019-07-08
2016 Odrade Nougué, Nils Svendsen, Roula Jabbour-Zahab, Thomas Lenormand, Luis-Miguel Chevin
The ontogeny of tolerance curves: habitat quality vs. acclimation in a stressful environment
published pages: 1625-1635, ISSN: 0021-8790, DOI: 10.1111/1365-2656.12572
Journal of Animal Ecology 85/6 2019-07-08

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