Engineer in quantitative genetics / Phenotyping : Genetic analyses of functional traits and plant performance measured in a phenotyping platform and in a network of field experiments
Reference
1506418375
Deadline for applications
11/10/2017
Date of publication
09/26/2017

Details

Details on the type of contract
Temporary assignment
Duration of contract
18 months
Beginning
12/01/2017

Professional field
Biology

Assignment

Name of unit of assignment
UMR0759 LEPSE - Écophysiologie des Plantes sous Stress environnementaux
Address of unit of assignment
INRA - 2, place Viala - 34060 MONTPELLIER CEDEX 2
Region of assignment
Languedoc-Roussillon Midi-Pyrénées

Description

Working environment

Ongoing projects have generated a large multi-scale dataset that characterizes the genetic variability of yield and underlying traits as a response to drought and high temperatures in a maize panel of 250 lines/hybrids, genotyped with 900k SNPs. These data originate from 30 field experiments, six experiments in the phenotyping platform PhenoArch and -omic measurements (metabolites, transcripts of aquaporins and of florigens). Novel traits are calculated from these data, for instance the sensitivity of leaf growth to water deficit or of yield to temperature, light interception in the field and in platform experiments, stomatal conductance or radiation use efficiency. Composite variables derived from -omic measurements are also examined.

 

The work will consist in analyzing the genetic architecture (GWAS) of these traits by using scripts developed at INRA - Le Moulon and Wageningen-Biometris, in particular in fulfilling the following objectives:

 

(i) Perform meta-analyses of QTLs , multi-traits analyses and use models with covariables, thereby analysing the colocalization and coordination between traits.

(ii) Perform genetic analyses of novel traits resulting from model-assisted analyses of the dataset (in collaboration with modellers of the group).

(iii) Functional analysis of QTLs via the dependence of allelic effects on environmental conditions / other QTLs, haplotypic analyses, analysis of the phenotype of Near Isogenic Lines with introgressions of allelic diversity in genomic regions of interest in common recipient line (depending on the progress of (i) and (ii)).

 

This work will be part of an effort, at group level, to establish genetic models allowing prediction of yield of a large number of genotypes in current and future conditions in different European regions. This will be performed by combining genetic, statistical and crop models. We shall in this way test the comparative advantage of different combination of alleles in different sites and climatic scenarios.

 

Context : Day-to-day work with a geneticist, in interaction with several members of the group (PhD students and post-docs). Close relationship with INRA Le Moulon and Wageningen Biometris. Relationship with geneticists of breeding companies partners of our projects.

 

Skills

Good skill for mixed models and R language.

Knowledge in Genetics and/or Ecophysiology, first experience in any of these domains (Ph D thesis or first engineer experience).

Good level in English and, if possible, French.

Training and skills required

Skills

Good skill for mixed models and R language.

Knowledge in Genetics and/or Ecophysiology, first experience in any of these domains (Ph D thesis or first engineer experience).

Good level in English and, if possible, French.

 

 Supervision : Claude Welcker claude.welcker@inra.fr & François Tardieu françois.tardieu@inra.fr

 

Millet et al. 2016.Plant Physiology172: 749-764 ; Cabrera-Bosquet et al 2016.New Phytologist212 : 269-281 ; Turc et al. 2016.New Phytologist212: 377-388 ; Lacube et al 2017.Plant Cell Environment40 : 2017-2028.

http://www1.montpellier.inra.fr/ibip/lepse/equipes/mage.htm

https://www6.montpellier.inra.fr/lepse/M3P

https://amaizing.fr/

Contact

Name
Claude Welcker / François Tardieu
Email
claude.welcker@inra.fr; françois.tardieu@inra.fr