Arthur Korte

Arthur Korte is an Assistant Professor of Evolutionary Genomics at the Faculty of Biology, University of Würzburg, Germany. He leads the Arthur Korte Group within the Center for Computational and Theoretical Biology (CCTB). His research focuses on evolutionary genomics, plant genetics, and abiotic stress responses, particularly in Arabidopsis thaliana. Korte’s work integrates computational methods like genome-wide association studies (GWAS) with experimental plant biology to uncover genetic mechanisms underlying environmental adaptation.

Education:

• PhD in Botany, TU Munich (2009)
• Postdoc at TU Munich (2005–2009) and Gregor-Mendel Institute, Vienna (2010–2015)
• Diploma and undergraduate studies at University of Freiburg (1997–2004)

Research Interests: Korte’s lab explores natural genetic variation in plants, emphasizing stress responses (e.g., salt, temperature, nutrient deficiency) and root architecture. Key projects include the AraGWAS Catalog and AraPheno databases, which standardize GWAS data and phenotypic information for Arabidopsis. Recent studies investigate rapid evolutionary adaptation in field settings and molecular mechanisms of stress tolerance.

Publications: His work spans plant genomics, bioinformatics, and molecular biology. Recent trends focus on permutation-based GWAS improvements, root suberization under salt stress, and genetic regulators of thermotolerance. Over 30 peer-reviewed articles highlight contributions to plant stress biology and computational genetics.

Awards: None explicitly listed, though his work has been widely cited in plant genomics and bioinformatics.

Advising & Grants: Advises PhD students in computational and experimental plant biology. No specific grants listed, but contributions to large-scale projects like the 1001 Genomes Consortium indicate substantial collaborative funding.

Labs & Teams: Leads the Evolutionary Genomics group at CCTB, collaborating with institutions like the Gregor-Mendel Institute. Active in developing bioinformatics tools for genomic analysis.