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CVI_ADAPT SIGNED

Unraveling the history of adaptation in an island model: Cape Verde Arabidopsis

Total Cost €

0

EC-Contrib. €

0

Partnership

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 CVI_ADAPT project word cloud

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

toolkit    collected    history    complexity    explicit    nature    collection    remarkable    impacted    region    isolation    functional    theory    wallace    affordable    laboratories    tempo    mapping    individual    phenotypic    variants    evolutionary    principles    divergence    species    revealed    decipher    reconstruct    trajectories    genome    modeling    cape    uncover    area    primary    manipulation    fundamental    island    trait    ecologically    population    enigma    sequencing    tools    microcosms    verde    populations    employs    cress    intriguing    biological    powerful    edge    islands    pleiotropy    technologies    thale    diverse    genetics    first    outcomes    synthesizing    wealth    comprehensively    crispr    epistasis    launches    samples    ago    genetic    tractable    editing    adaptive    historical    pivotal    exceptional    networks    arabidopsis    environmental    context    opportunity    predict    fluctuations    darwin    played    thaliana    single    mechanisms    dynamics    roadmap    combine    uncomplicated    longer    natural    monitoring    mode   

Project "CVI_ADAPT" data sheet

The following table provides information about the project.

Coordinator
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV 

Organization address
address: HOFGARTENSTRASSE 8
city: Munich
postcode: 80539
website: www.mpg.de

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 Germany [DE]
 Total cost 1˙609˙375 €
 EC max contribution 1˙609˙375 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-STG
 Funding Scheme ERC-STG
 Starting year 2015
 Duration (year-month-day) from 2015-11-01   to  2020-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE (Munich) coordinator 1˙609˙375.00

Map

 Project objective

Islands have played a pivotal role in evolutionary theory since Darwin and Wallace. Due to their isolation, they represent natural laboratories, providing uncomplicated microcosms where fundamental principles of the evolutionary process can be revealed. One area where island systems can provide a crucial advance is in evolutionary genetics. Here, a primary goal is to reconstruct the mechanisms, mode and tempo of the evolutionary process by identifying specific adaptive functional variants and studying the historical dynamics of these in nature. However, even with recent advances in tools and technologies (e.g., affordable genome-wide sequencing, developments in genome manipulation), the complexity of most natural systems makes this a challenging task.

The proposed research launches a program that employs a unique set of thale cress (Arabidopsis) samples from intriguing populations at the edge of the species range (Cape Verde Islands) to comprehensively characterize the adaptive process in a tractable and ecologically relevant island system. This collection represents the first population sample from this region, where a single individual was collected 30 years ago and has long been an enigma due to its remarkable phenotypic and genetic divergence. We will combine field monitoring, population genetic analyses, trait mapping, powerful new genome editing technology (CRISPR), and spatially explicit modeling to reconstruct the history of the adaptive process in exceptional detail. Moreover, synthesizing our results in the context of biological networks will provide the opportunity to decipher how epistasis and pleiotropy impacted adaptive trajectories. By applying the wealth of tools available in Arabidopsis thaliana to this intriguing natural population, we will uncover general principles of adaptation and produce a roadmap and toolkit for future research in diverse systems to predict outcomes of environmental fluctuations and longer-term changes.

 Publications

year authors and title journal last update
List of publications.
2017 Andrea Fulgione, Maarten Koornneef, Fabrice Roux, Joachim Hermisson, Angela M Hancock
Madeiran Arabidopsis thaliana Reveals Ancient Long-Range Colonization and Clarifies Demography in Eurasia
published pages: 564-574, ISSN: 0737-4038, DOI: 10.1093/molbev/msx300
Molecular Biology and Evolution 35/3 2019-05-29
2018 Andrea Fulgione, Angela M. Hancock
Archaic lineages broaden our view on the history of Arabidopsis thaliana
published pages: 1194-1198, ISSN: 0028-646X, DOI: 10.1111/nph.15244
New Phytologist 219/4 2019-05-29
2017 Arun Durvasula, Andrea Fulgione, Rafal M. Gutaker, Selen Irez Alacakaptan, Pádraic J. Flood, Célia Neto, Takashi Tsuchimatsu, Hernán A. Burbano, F. Xavier Picó, Carlos Alonso-Blanco, Angela M. Hancock
African genomes illuminate the early history and transition to selfing in Arabidopsis thaliana
published pages: 5213-5218, ISSN: 0027-8424, DOI: 10.1073/pnas.1616736114
Proceedings of the National Academy of Sciences 114/20 2019-05-28

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