Author

Florence R. Danila

Australian National UniversityORCID 0000-0002-7352-3852Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Plant Biology· 3

Signature Assays, Organisms & Methods

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Organism:plant (other)· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Susanne von CaemmereriD· 2 shared Bayantes DagvadorjiD· 1 shared Benjamin SchwessingeriD· 1 shared Chiara BaccoliniiD· 1 shared Danish Ilyas BaigiD· 1 shared Eric C. PereiraiD· 1 shared H. Li· 1 shared Hirofumi IshiharaiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersPlant Biology

Susanne von CaemmererORCID

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3 papers

Recent·Most cited

C4 photosynthetic pathway fluxes in transgenic rice plants

Chiara Baccolini, Stéphanie Arrivault, Florence R. Danila, Maria Ermakova, Hirofumi Ishihara, Regina Feil, Kavya Yalamanchili, Jane A. Langdale, Susanne von Caemmerer, Robert T. Furbank, Mark Stitt, John Edward Lunn

This study demonstrates that four core C4 pathway reactions are operating in transgenic rice, establishing in vivo flux for a functional carbon-concentrating mechanism.

bioRxiv · Aug 20, 2026 · PreprintPlant Biology

Defence recognition of a stripe rust fungal effector is uncoupled from disease outcomes in wheat

Eric C. Pereira, Bayantes Dagvadorj, Rita Tam, H. Li, Danish Ilyas Baig, Mareike Möller, Miraclemario Raphael, Simon J. Williams, Sambasivam K. Periyannan, Florence R. Danila, John Paul Rathjen, Benjamin Schwessinger

The paper identifies an AvrPstB48 effector from stripe rust fungus that triggers defence responses in wheat but does not directly correlate with disease outcomes.

Molecular Plant-Microbe Interactions · Jan 1, 2026Peer-reviewedPlant Biology

Automated and high throughput measurement of leaf stomatal traits in canola

Lingtian Yao, Susanne von Caemmerer, Florence R. Danila

SCAN measures canola stomatal traits with 89-94% accuracy using YOLOv8 and digital microscopy, and predicts traits in other species.

Journal of Experimental Botany · Jun 25, 2025Peer-reviewedPlant Biology