Machine learning reveals biocontrol agents shaping disease outcome in natural Arabidopsis populations

Maryam Mahmoudi, Yiheng Hu, Juliana Almario, Paolo Stincone, Lynn-Marie Tenzer, Vasvi Chaudhry, Lukas Braun, Samuel Quinzer, Kay Nieselt, Eric Kemen

Open source

DOI: 10.1038/s41467-026-75789-w
Published: 2026-07-28
Container: Nature Communications
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-026-75789-w,
  title = {Machine learning reveals biocontrol agents shaping disease outcome in natural Arabidopsis populations},
  author = {Maryam Mahmoudi and Yiheng Hu and Juliana Almario and Paolo Stincone and Lynn-Marie Tenzer and Vasvi Chaudhry and Lukas Braun and Samuel Quinzer and Kay Nieselt and Eric Kemen},
  year = {2026},
  journal = {Nature Communications},
  doi = {10.1038/s41467-026-75789-w},
  url = {https://doi.org/10.1038/s41467-026-75789-w}
}

RIS

TY  - JOUR
TI  - Machine learning reveals biocontrol agents shaping disease outcome in natural Arabidopsis populations
AU  - Maryam Mahmoudi
AU  - Yiheng Hu
AU  - Juliana Almario
AU  - Paolo Stincone
AU  - Lynn-Marie Tenzer
AU  - Vasvi Chaudhry
AU  - Lukas Braun
AU  - Samuel Quinzer
AU  - Kay Nieselt
AU  - Eric Kemen
PY  - 2026
JO  - Nature Communications
DO  - 10.1038/s41467-026-75789-w
UR  - https://doi.org/10.1038/s41467-026-75789-w
ER  -

APA

Mahmoudi, M., Hu, Y., Almario, J., Stincone, P., Tenzer, L., Chaudhry, V., Braun, L., Quinzer, S., Nieselt, K., & Kemen, E. (2026). Machine learning reveals biocontrol agents shaping disease outcome in natural Arabidopsis populations. Nature Communications. https://doi.org/10.1038/s41467-026-75789-w

Source records

crossref · retrieved 2026-09-26T00:00:40.271Z