Author

Clare Lister

John Innes CentreORCID 0000-0003-1950-325XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Research Focus:development & morphogenesis· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Simon GriffithsiD· 3 shared Alba Farre Martinez· 1 shared Anna E. BackhausiD· 1 shared Cristóbal UauyiD· 1 shared Daniel Reynolds· 1 shared Danny Websdale· 1 shared Graham Finlayson· 1 shared Ji Zhou· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersPlant Biology

Simon GriffithsORCID

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3 papers

Recent·Most cited

Controlling GRF4-GIF1 Expression for Efficient, Genotype-Independent Transformation Across Wheat Cultivars

Şadiye Hayta, Mark A. Smedley, Meltem Bayraktar, Macarena Forner, Anna E. Backhaus, Clare Lister, Martha Clarke, Cristóbal Uauy, Simon Griffiths

This study develops an optimized Agrobacterium-mediated wheat transformation protocol using GRF4-GIF1, enabling efficient, genotype-independent transformation across multiple wheat cultivars.

The Plant Journal · Mar 1, 2026Peer-reviewedPlant Biology

Resolving a QTL complex for height, heading, and grain yield on chromosome 3A in bread wheat

Alba Farre Martinez, Clare Lister, Sue Freeman, Jun Ma, Simon T. Berry, Luzie U. Wingen, Simon Griffiths

The paper identifies and dissects a QTL complex on chromosome 3A in wheat that controls height, heading date, and grain yield, showing they are genetically independent with distinct physiological effects.

Journal of Experimental Botany · Feb 11, 2021Peer-reviewedGenetics

CropQuant: An automated and scalable field phenotyping platform for crop monitoring and trait measurements to facilitate breeding and digital agriculture

Ji Zhou, Daniel Reynolds, Thomas Le Cornu, Danny Websdale, Simon Orford, Clare Lister, Oscar Gonzalez-Navarro, Stephen Laycock, Graham Finlayson, Tim Stitt, Matthew D. Clark, Michael W. Bevan, Simon Griffiths

CropQuant provides an automated, scalable platform for field crop phenotyping, enabling trait measurements and genotype-phenotype-environment analysis through machine learning.

bioRxiv · Sep 1, 2017 · PreprintPlant Biology