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5 papers
Recent·Most cited
A. Duque-Jaramillo, N. Ulmer, S. Alseekh, I. Bezrukov, A. R. Fernie, A. Skirycz, T. L. Karasov, D. Weigel
This study investigates how Arabidopsis thaliana responds to Pseudomonas viridiflava infection, finding that the JA/ethylene pathway influences susceptibility and that immune responses vary between accessions.
bioRxiv · Mar 18, 2023 · PreprintPlant Biology
D. S. Lundberg, R. de Pedro Jove, P. P. Na Ayutthaya, T. L. Karasov, O. Shalev, K. Poersch, W. Ding, A. Bollmann-Giolai, I. Bezrukov, D. Weigel
The paper compares the ecological roles of Sphingomonas and Pseudomonas in the phyllosphere of Arabidopsis thaliana, finding Sphingomonas to be more adaptable but a poor competitor in dead leaves.
bioRxiv · Apr 6, 2021Ecology
A. C. Barragan, M. Collenberg, R. Schwab, M. Kerstens, I. Bezrukov, F. Bemm, D. Pozarova, F. Kolar, D. Weigel
The paper investigates inbreeding depression in wild Arabidopsis arenosa populations by analyzing hybrid plants and finds that increased homozygosity, rather than outbreeding depression, is associated with deleterious phenotypes.
bioRxiv · Jan 24, 2021 · PreprintPlant Biology
T. L. Karasov, M. Neumann, A. Duque-Jaramillo, S. Kersten, I. Bezrukov, B. Schroeppel, E. Symeonidi, D. S. Lundberg, J. Regalado, G. Shirsekar, J. Bergelson, D. Weigel
The paper assesses microbial load and composition in Arabidopsis thaliana phyllosphere using shotgun metagenomics, finding high microbial loads correlate with pathogen proliferation and reduced diversity.
bioRxiv · Apr 8, 2020 · PreprintPlant Biology
P. Huether, N. Schandry, K. Jandrasits, I. Bezrukov, C. Becker
This paper introduces a deep learning-based tool for automated phenotyping of plant images, demonstrating its effectiveness in segmenting diverse genotypes and mapping genetic loci related to leaf traits.
bioRxiv · Apr 1, 2020Plant Biology