Genome-wide association analysis of drought tolerance in seedlings of Arabidopsis thaliana
Zusammenfassung der Projektergebnisse
The aim of this project was to identify genes/pathways which contribute to drought resistance in Arabidopsis thaliana. Genome-wide association mapping (GWAS) was used as tool to accomplish this goal. During the project I developed a new statistical method for GWAS of correlated traits. This multitrait mixed model (MTMM) has already gained attention in the public media (see http://science.orf.at/stories/1703530/). It enables the identification of geneenvironment interactions not only for Arabidopsis, but for other organism as well. These interactions are highly relevant to understand the architecture of complex traits like drought tolerance. The analyses of the phenotypic data generated, lead to the identification of candidates that are potentially new components involved in drought tolerance. Many of them have not been described previously in the context of drought tolerance, but the verification and integration of these into existing networks is still incomplete. I hope to conclude this work in the future.
Projektbezogene Publikationen (Auswahl)
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A mixed‐model approach for genome‐wide association studies of correlated traits in structured populations. Nature genetics 2012, 44(9):1066‐1071
Korte A, Vilhjálmsson BJ, Segura V, Platt A, Long Q, Nordborg M
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An efficient multi‐ locus mixed‐model approach for genome‐wide association studies in structured populations. Nature genetics 2012, 44(7):825‐830
Segura V, Vilhjálmsson BJ, Platt A, Korte A, Seren Ü, Long Q, Nordborg M
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The advantages and limitations of trait analysis with GWAS: a review. Plant methods 2013, 9(1):29
Korte A, Farlow A
