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- About
competitive grant under the CP - Allele Mining Based on Non-Coding Regulatory SNPs in barley germplasm.
About competitive grant under the CP:
- Executive Summary:In recent years analysis of genetic variation has focused on the study of changes in DNA coding for proteins. It is now becoming increasingly clear that this only accounts for one aspect of heritable variation and for many traits, notably tolerance to environment stresses, the level of gene expression is also likely to be of great importance. If changes in gene expression underlie many evolutionary changes in phenotype, then identifying the genetic variants that regulate gene expression is a significant and important endeavor. One of the key problems in genetics is how to identify this type of variation. We propose a robust, quantitative approach to efficiently identify plant genes that harbor such regulatory variants. The approach is novel and particularly amenable to plants since it is based on monitoring gene expression in experimentally created hybrids. A successful outcome will provide a new mechanism to connect genotype to phenotype based on changes in gene expression rather than changes in the structure of an encoded protein. This approach will be used to characterize a series of genes identified and reveal potential candidates for tolerance to drought, frost, cold and salinity stresses. The approach is generic and widely applicable. The project will also involve training researchers in Developing Countries and create a high quality collaborative network of researchers delivering new knowledge on genetic diversity and translatable outputs for the Developing World.
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