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PhD position “Finding genes for traits using systems genetics’”

PhD position “Finding genes for traits using systems genetics’”

Wageningen University, Netherlands


Genome editing promises to revolutionize plant breeding because it allows accurate and efficient modification of genes to improve crop traits. Both for large-scale plant phenotyping and genotyping a range of high-throughput methods are becoming available, but there are no systematic methods to subsequently link the genes to traits, to find the targets for modification. A method potentially capable of this is Quantitative Trait Locus (QTL) analysis, which is used to identify genomic regions affecting a ‘continuous’ trait (like plant height, or seed size). However, two main issues prevent QTL analysis from being used systematically: first, its low resolution, with identified DNA regions that can span hundreds of genes; and second, its lack of power when dealing with complex traits affected by many genes with possibly small effects. In this project you will develop and apply systems genetics approaches to integrate QTL analysis with various kinds of molecular interaction data. By combining gene annotation and genetic variation with gene expression and phenotype measurements, you will identify molecular networks underlying plant traits. These will serve to identify key regulatory genes and predict the effects of naturally occurring genetic variants. The methods and predictions will be made available in the AraQTL workbench at
Function Requirements
We are looking for an ambitious, enthusiastic team player and result-driven scientist with:
  • an excellent academic record (MSc) in bioinformatics, computer science or a related area;
  • demonstrable skills in biological data analysis and software development;
  • experience with algorithm development and statistical analyses;
  • affinity with molecular biology and genetics;
  • excellent oral and written communication skills in English.


More information to be found here


Wageningen University, NL

Printed from on 19/07/18 04:31:28 AM

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