Author

D. M. Wells

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 3 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Organism:plant (other)· 4 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

J. A. Atkinson· 2 shared J. Atkinson· 2 shared M. J. Bennett· 2 shared A. Bishopp· 1 shared A. Champion· 1 shared A. Grondin· 1 shared A. Hajjarpoor· 1 shared A. Ware· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersPlant Biology

J. A. Atkinson

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Author profile →

4 papers

Recent·Most cited

Glutaredoxin regulation of primary root growth is associated with early drought stress tolerance in pearl millet

C. de la Fuente Canto, A. Grondin, B. Sine, M. Debieu, C. Belin, A. Hajjarpoor, J. Atkinson, S. Passot, M. Salson, J. Orjuela, C. Tranchant, J.-R. Brossier, M. Steffen, C. Morgado, H. N. Dinh, , L. Laplaze

eLife · Jan 31, 2024Peer-reviewedPlant Biology

Duckweed roots are dispensable and are on a trajectory toward vestigiality

A. Bishopp, A. Ware, D. H. Jones, P. Flis, K. E. Smith, B. Kümpers, L. Yant, J. Atkinson, D. M. Wells

The paper shows duckweed roots are dispensable for growth and nutrient uptake, suggesting they are evolving toward vestigiality.

bioRxiv · Jan 5, 2022 · PreprintEvolutionary Biology

Identification of QTL and Underlying Genes for Root System Architecture associated with Nitrate Nutrition in Hexaploid Wheat

M. D. Griffiths, J. A. Atkinson, L.-J. Gardiner, R. Swarup, M. P. Pound, M. H. Wilson, M. J. Bennett, D. M. Wells

This study identifies QTLs and candidate genes associated with root system architecture in wheat under nitrate nutrition, offering targets to improve nitrogen capture.

bioRxiv · Nov 25, 2020Plant Biology

Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large scale genetic studies

J. A. Atkinson, G. Lobet, M. Noll, P. E. Meyer, M. Griffiths, D. M. Wells

The paper combines semi-automated image analysis with machine learning to accelerate genetic studies of plant root systems, reducing analysis time by 73% and identifying quantitative trait loci.

bioRxiv · Jun 20, 2017Plant Biology