Opendata, web and dolomites

FORGENET

A novel approach for detecting polygenic adaptation applied to FORest tree candidate GEne NETworks

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 FORGENET project word cloud

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

radically    straightforward    estimating    hypothesis    haploid    inherent    small    reached    network    genotyping    mediterranean    adaptability    paradigm    potentially    experimental    forgenet    acts    traits    gradients    drought    climate    detect    ample    forest    neutrality    linkage    play    detecting    agreed    candidate    statistics    proposes    independently    associations    seems    changing    construct    adaptive    unravelling    genotyped    regarding    first    topology    environments    lacking    act    time    interactions    tissue    functional    coniferous    conifers    evolution    view    members    species    latitudinal    evolutionary    events    null    published    interaction    indicates    adapt    populations    trees    netadapt    gene    data    networks    pine    polygenic    endangered    spruces    epistatic    multiple    genotype    genomic    disequilibrium    tolerance    adaptations    flowering    genes    exploits    perpetual    nevertheless    mechanisms    natural    offers    shift    genetics   

Project "FORGENET" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAT ZURICH 

Organization address
address: RAMISTRASSE 71
city: ZURICH
postcode: 8006
website: n.a.

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 Switzerland [CH]
 Project website https://sites.google.com/site/katalincsillery/research/forgenet
 Total cost 175˙419 €
 EC max contribution 175˙419 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2019-10-01

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAT ZURICH CH (ZURICH) coordinator 175˙419.00

Map

 Project objective

Unravelling the mechanisms of selection that allow species to adapt to changing environments has been a perpetual goal of evolutionary genetics. A current paradigm shift seems to radically change our view regarding the major mechanisms of evolutionary change. Ample experimental data indicates that most traits that potentially play a role in adaptations are controlled by many genes that may not act independently, but as members of complex gene interaction networks. Thus, it is widely agreed that most adaptation events in natural populations are reached via so-called polygenic adaptation, involving small changes at multiple genes at a time. Nevertheless, methods are still lacking to detect such adaptive gene associations. The main objective of FORGENET is to propose NetAdapt, a network-based test of polygenic selection for candidate-gene data. NetAdapt exploits candidate-gene data both as genotype and functional genomic data. First, based on the functional genomic information inherent to candidate gene data, it proposes to construct a gene interaction network, whose topology can be used to define a null hypothesis of neutrality. Second, based on the genotype data, it proposes a test for detecting selection on gene interactions, i.e. epistatic selection, based on linkage disequilibrium statistics. NetAdapt is expected to enhance our understanding how selection acts on gene networks and to propose new candidate genes for future genotyping. NetAdapt will be applied to published data on coniferous forest trees that have been genotyped from haploid tissue, which offers a straightforward application. Many conifers are endangered by climate change and estimating their adaptability is an important European research priority. FORGENET will study the evolution of flowering time genes at spruces along latitudinal gradients, and drought tolerance in Mediterranean pine species.

 Publications

year authors and title journal last update
List of publications.
2018 Katalin Csilléry, Alejandra Rodríguez-Verdugo, Christian Rellstab, Frédéric Guillaume
Detecting the genomic signal of polygenic adaptation and the role of epistasis in evolution
published pages: 606-612, ISSN: 0962-1083, DOI: 10.1111/mec.14499
Molecular Ecology 27/3 2020-03-11
2019 Katalin Csilléry, Otso Ovaskainen, Christoph Sperisen, Nina Buchmann, Alex Widmer, Felix Gugerli
Adaptation to local climate in multi-trait space: evidence from silver fir (Abies alba Mill.) populations across a heterogeneous environment
published pages: , ISSN: 0018-067X, DOI: 10.1038/s41437-019-0240-0
Heredity 2020-03-11

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "FORGENET" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "FORGENET" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

RipGEESE (2020)

Identifying the ripples of gene regulation evolution in the evolution of gene sequences to determine when animal nervous systems evolved

Read More  

5G-ACE (2019)

Beyond 5G: 3D Network Modelling for THz-based Ultra-Fast Small Cells

Read More  

SSHelectPhagy (2019)

Regulation of Selective autophagy by sulfide through persulfidation of protein targets.

Read More