Author

J. C. Berry

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 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 5 Organism:plant (other)· 5 Assay:imaging· 4 Assay:bulk RNA-seq· 3 Research Focus:cell type annotation· 3 Organism:Arabidopsis· 2 Approach:genetic perturbation / CRISPR· 2 Research Focus:host-pathogen & immune response· 2

Frequent Co-Authors

R. Bart· 5 shared K. M. Veley· 3 shared J. C. Carrington· 2 shared K. Elliott· 2 shared N. Fahlgren· 2 shared A. A. Pokorny· 1 shared A. Abbasi· 1 shared A. Vijayaraghavan· 1 shared

Activity by Year

2017-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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5 shared papersPlant Biology

R. Bart

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Author profile →

8 papers

Recent·Most cited

A comparison of ImageJ and machine learning based image analysis methods to measure cassava bacterial blight disease severity

K. Elliott, J. C. Berry, K. Hobin, R. S. Bart

This paper compares ImageJ and a few-shot SVM-based image analysis method for quantifying cassava bacterial blight disease severity by measuring lesion segmentation and treatment differences.

bioRxiv · Apr 25, 2022Plant Biology

Improving cassava bacterial blight resistance by editing the epigenome

K. M. Veley, K. Elliott, G. Jensen, Z. Zhong, S. Feng, M. Yoder, K. B. Gilbert, J. C. Berry, Z.-J. D. Lin, B. Ghoshal, J. Gallego-Bartolome, J. Norton, S. Motomura-Wages, J. C. Carrington, S. E. Jacobsen, R. Bart

This study edits the epigenome of cassava to improve resistance to bacterial blight by blocking a susceptibility gene's activation.

bioRxiv · Jan 4, 2022Plant Biology

Systems-wide Analysis Revealed Shared and Unique Responses to Moderate and Acute High Temperatures in the Green Alga Chlamydomonas reinhardtii

N. Zhang, E. M. Mattoon, W. McHargue, B. Venn, D. Zimmer, K. Pecani, J. Jeong, C. M. Anderson, C. Chen, J. C. Berry, M. Xia, S.-C. Tzeng, E. Becker, L. Pazouki, B. Evans, , R. Zhang

This study identifies shared and unique cellular responses to moderate and acute high temperatures in Chlamydomonas reinhardtii, revealing mechanisms for thermotolerance.

bioRxiv · Aug 17, 2021Plant Biology

Identification of beneficial and detrimental bacteria that impact sorghum responses to drought using multi-scale and multi-system microbiome comparisons

M. Qi, J. C. Berry, K. Veley, L. O'Connor, O. M. Finkel, I. Salas-Gonzalez, M. Kuhs, J. Jupe, E. Holcomb, T. Glavina del Rio, C. Creech, P. Liu, S. G. Tringe, J. L. Dangl, D. Schachtman, R. Bart

The paper identifies beneficial and detrimental bacteria affecting sorghum drought responses using lab, transitional, and field experiments.

bioRxiv · Apr 13, 2021 · PreprintMicrobiology

Antiviral Functions of ARGONAUTE Proteins During Turnip Crinkle Virus Infection Revealed by Image-based Trait Analysis in Arabidopsis

X. Zheng, J. C. Carrington, N. Fahlgren, A. Abbasi, J. C. Berry

The paper uses image-based phenotyping to identify AGO proteins with antiviral roles during TCV infection in Arabidopsis.

bioRxiv · Dec 4, 2018 · PreprintPlant Biology

An automated, high-throughput method for standardizing image color profiles to improve image-based plant phenotyping

J. C. Berry, N. Fahlgren, A. A. Pokorny, R. Bart, K. M. Veley

The paper introduces an automated method to standardize image color profiles in plant phenotyping, improving accuracy by correcting brightness, contrast, and color variation across images.

bioRxiv · Jun 22, 2018Plant Biology

Genomics-enabled analysis of the emergent disease cotton bacterial blight

A. Z. Phillips, J. C. Berry, M. C. Wilson, A. Vijayaraghavan, J. Burke, J. I. Bunn, T. W. Allen, T. Wheeler, R. Bart

The paper analyzes the re-emergence of cotton bacterial blight by comparing pathogen genomes and host gene expression to identify virulence mechanisms and resistance strategies.

bioRxiv · Jul 28, 2017Plant Biology

High-throughput profiling and analysis of plant responses over time to abiotic stress

K. M. Veley, J. C. Berry, S. J. Fentress, D. P. Schachtman, I. Baxter, R. Bart

This paper develops methods to quantify plant abiotic stress responses over time using phenotyping and ionomic profiling in sorghum.

bioRxiv · Jul 26, 2017Plant Biology