Author

M. Griffiths

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· 7 Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 7 Organism:plant (other)· 5 Assay:imaging· 4 Assay:proteomics· 4 Research Focus:cell type annotation· 3 Research Focus:host-pathogen & immune response· 2 Organism:human· 2 Assay:metagenomics· 2

Frequent Co-Authors

L. M. York· 5 shared A. Seethepalli· 4 shared H. Guo· 4 shared K. Dhakal· 3 shared A. Chan· 1 shared A. E. Liu· 1 shared A. Laing· 1 shared A. Lorenc· 1 shared

Activity by Year

2017-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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5 shared papersPlant Biology

L. M. York

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Author profile →

9 papers

Recent·Most cited

A temporal atlas and response to nitrate availability of 3D root system architecture in diverse pennycress (Thlaspi arvense L.) accessions

M. Griffiths, A. E. Liu, S. L. Gunn, N. M. Mutan, E. Y. Morales, C. N. Topp

This study characterizes 4D root system architecture in pennycress under varying nitrate conditions and identifies genotype-by-nitrate interactions affecting root traits.

bioRxiv · Jan 14, 2023 · PreprintPlant Biology

Application of synthetic peptide CEP1 increases nutrient uptake rates along plant roots

S. Roy, M. Griffiths, I. Torres-Jerez, B. Sanchez, E. Antonelli, D. Jain, N. Krom, S. Zhang, L. M. York, W.-R. Scheible, M. Udvardi

The paper screens synthetic peptides for enhancing nutrient uptake in plants, finding that CEP1 increases nitrate, phosphate, and sulfate uptake in Medicago and Arabidopsis.

bioRxiv · Oct 11, 2021Plant Biology

RhizoVision Explorer: Open-source software for root image analysis and measurement standardization

A. Seethepalli, K. Dhakal, M. Griffiths, H. Guo, G. T. Freschet, L. M. York

RhizoVision Explorer is an open-source software for root image analysis that provides accurate measurements and batch processing, validated against ground truth data and compared to existing tools.

bioRxiv · Apr 11, 2021Plant Biology

Interactions among rooting traits for deep water and nitrogen uptake in upland and lowland ecotypes of switchgrass (Panicum virgatum L.)

M. Griffiths, X. Wang, K. Dhakal, H. Guo, A. Seethepalli, Y. Kang, L. M. York

This study examines root trait interactions and deep nitrate capture in switchgrass ecotypes under water and nitrogen stress, finding shared and distinct responses and a link between deep rooting and aboveground growth.

bioRxiv · Feb 19, 2021Plant Biology

A systematic evaluation of IgM and IgG antibody assay accuracy in diagnosing acute Zika Virus infection in Brazil; lessons relevant to emerging infections

R. Medialdea-Carrera, F. Lowen Levy Chalhoub, P. Castanha, P. Carvalho Sequeira, P. Brasil, L. L. Lewis Ximenez, L. Turtle, T. Solomon, A. M. Bispo de Filippis, D. W. Brown, M. Griffiths

This study evaluates the accuracy of IgM and IgG antibody assays for diagnosing acute Zika Virus infection in Brazil, finding that IgG assays outperformed IgM ones and highlighting the need for careful evaluation in populations with co-circulating viruses.

bioRxiv · Nov 25, 2020Microbiology

Functional phenomics and genetics of the root economics space in winter wheat using high-throughput phenotyping of respiration and architecture

H. Guo, H. Ayalew, A. Seethepalli, K. Dhakal, M. Griffiths, X.-f. Ma, L. M. York

The paper combines functional phenomics and root economics theory to analyze root traits in winter wheat, identifying genetic regions and traits linked to root efficiency for sustainable breeding.

bioRxiv · Nov 12, 2020Plant Biology

RhizoVision Crown: An Integrated Hardware and Software Platform for Root Crown Phenotyping

A. Seethepalli, H. Guo, X. Liu, M. Griffiths, H. Almtarfi, Z. Li, S. Liu, A. Zare, F. Fritschi, E. Blancaflor, X. Ma, L. M. York

RhizoVision Crown is an open-source platform for high-throughput root crown phenotyping in crops, validated with simulated images and used on soybean and wheat, showing species-specific heritability.

bioRxiv · Sep 1, 2019Plant Biology

High-throughput phenotyping reveals expansive genetic and structural underpinnings of immune variation

L. Abeler-Dörner, A. Laing, A. Lorenc, D. S. Ushakov, S. Clare, A. Speak, M. A. Duque Correa, J. K. White, R. Ramirez-Solis, N. Saran, K. R. Bull, B. Moron, J. Iwasaki, P. R. Barton, S. Caetano, , Edmans

This study uses high-throughput phenotyping of knockout mice to identify genetic factors and structural patterns influencing immune variation.

bioRxiv · Jul 10, 2019Immunology

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