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FORGENET

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 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.

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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

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