Job ID: 3610
Job date: 2015-06-11
End Date:
Company : University of East Anglia Country : Role : Student
Job date: 2015-06-11
End Date:
Company : University of East Anglia Country : Role : Student
Job Description:
We have developed mutant populations in polyploid wheat and have recently sequenced them to identify the induced mutations within the genes of each individual. This resource provides the first large-scale functional genomics resource in wheat, dramatically changing the paradigm in wheat functional analyses. We have grown the populations and scored them for a set of yield related traits including spikelet number, thousand grain weight, grains/spikelet, among others. The challenge now is to develop the bioinformatics tools to genetically map the mutant alleles.
This PhD will work to develop and implement bioinformatics pipelines and strategies for fast-forward genetics in wheat for crop efficiency target traits. The student will develop mapping strategies that accommodate the characteristics of our polyploid populations and will examine different fine mapping strategies for both qualitative and quantitative traits. The candidate genes for the traits of interest will be validated by independent mutations in the same gene from both mutant populations or by stable transformation when suitable.
This PhD will develop a completely new way of gene discovery in polyploid wheat. During the PhD we should be able to identify wheat genes directly involved in crop efficiency target traits under field conditions and in relevant European germplasm. This project will enable the student to lead these developments and to rapidly implement the approaches and the mutant alleles into breeding programmes alongside the industrial partner Bayer Crop Science.
Additional Info:
[Click Here to Access the Original Job Post]
We have developed mutant populations in polyploid wheat and have recently sequenced them to identify the induced mutations within the genes of each individual. This resource provides the first large-scale functional genomics resource in wheat, dramatically changing the paradigm in wheat functional analyses. We have grown the populations and scored them for a set of yield related traits including spikelet number, thousand grain weight, grains/spikelet, among others. The challenge now is to develop the bioinformatics tools to genetically map the mutant alleles.
This PhD will work to develop and implement bioinformatics pipelines and strategies for fast-forward genetics in wheat for crop efficiency target traits. The student will develop mapping strategies that accommodate the characteristics of our polyploid populations and will examine different fine mapping strategies for both qualitative and quantitative traits. The candidate genes for the traits of interest will be validated by independent mutations in the same gene from both mutant populations or by stable transformation when suitable.
This PhD will develop a completely new way of gene discovery in polyploid wheat. During the PhD we should be able to identify wheat genes directly involved in crop efficiency target traits under field conditions and in relevant European germplasm. This project will enable the student to lead these developments and to rapidly implement the approaches and the mutant alleles into breeding programmes alongside the industrial partner Bayer Crop Science.
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Additional Info:
[Click Here to Access the Original Job Post]