ArticlePlant physiology2016
Quantitative, Image-Based Phenotyping Methods Provide Insight into Spatial and Temporal Dimensions of Plant Disease.
Article in Plant physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 50 citations in OpenAlex.
- A bacterial nutrition strategy for plant disease control.Science (New York, N.Y.) · 2025Article
- Foliar disease resistance phenomics of fungal pathogens: image-based approaches for mapping quantitative resistance in cereal germplasm.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Non-Invasive, Bioluminescence-Based Visualisation and Quantification of Bacterial Infections in Arabidopsis Over Time.Molecular plant pathology · 2025Article
- ScAnalyzer: an image processing tool to monitor plant disease symptoms and pathogen spread in Arabidopsis thaliana leaves.Plant methods · 2024Article
- High-Resolution Disease Phenotyping Reveals Distinct Resistance Mechanisms of Tomato Crop Wild Relatives againstPlant phenomics (Washington, D.C.) · 2024Article
- Assembly and operation of an imaging system for long-term monitoring of bioluminescent and fluorescent reporters in plants.Plant methods · 2023Article
- Modelling cassava production and pest management under biotic and abiotic constraints.Plant molecular biology · 2022Review
- Current State of Hyperspectral Remote Sensing for Early Plant Disease Detection: A Review.Sensors (Basel, Switzerland) · 2022Review
- CBM: An IoT Enabled LiDAR Sensor for In-Field Crop Height and Biomass Measurements.Biosensors · 2021Article
- Cassava diseases caused by Xanthomonas phaseoli pv. manihotis and Xanthomonas cassavae.Molecular plant pathology · 2021Review
- Identification of theInternational journal of molecular sciences · 2021Article
- TheInternational journal of molecular sciences · 2021Article
- Tackling microbial threats in agriculture with integrative imaging and computational approaches.Computational and structural biotechnology journal · 2021Review
- Xanthomonas diversity, virulence and plant-pathogen interactions.Nature reviews. Microbiology · 2020Review
- Rapid identification of an Arabidopsis NLR gene as a candidate conferring susceptibility to Sclerotinia sclerotiorum using time-resolved automated phenotyping.The Plant journal : for cell and molecular biology · 2020Article
- Pseudomonas syringae pv. tomato DC3000 polymutants deploying coronatine and two type III effectors produce quantifiable chlorotic spots from individual bacterial colonies in Nicotiana benthamiana leaves.Molecular plant pathology · 2018Article
- The role of type III effectors from Xanthomonas axonopodis pv. manihotis in virulence and suppression of plant immunity.Molecular plant pathology · 2018Article
- Raspberry Pi-powered imaging for plant phenotyping.Applications in plant sciences · 2018Article
- Nature's genetic screens: using genome-wide association studies for effector discovery.Molecular plant pathology · 2018Article
- Foundational and Translational Research Opportunities to Improve Plant Health.Molecular plant-microbe interactions : MPMI · 2017Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plant disease symptoms exhibit complex spatial and temporal patterns that are challenging to quantify. Image-based phenotyping approaches enable multidimensional characterization of host-microbe interactions and are well suited to capture spatial and temporal data that are key to understanding disease progression. We applied image-based methods to investigate cassava bacterial blight, which is caused by the pathogen Xanthomonas axonopodis pv. manihotis (Xam). We generated Xam strains in which individual predicted type III effector (T3E) genes were mutated and applied multiple imaging approaches to investigate the role of these proteins in bacterial virulence. Specifically, we quantified bacterial populations, water-soaking disease symptoms, and pathogen spread from the site of inoculation over time for strains with mutations in avrBs2, xopX, and xopK as compared to wild-type Xam ∆avrBs2 and ∆xopX both showed reduced growth in planta and delayed spread through the vasculature system of cassava. ∆avrBs2 exhibited reduced water-soaking symptoms at the site of inoculation. In contrast, ∆xopK exhibited enhanced induction of disease symptoms at the site of inoculation but reduced spread through the vasculature. Our results highlight the importance of adopting a multipronged approach to plant disease phenotyping to more fully understand the roles of T3Es in virulence. Finally, we demonstrate that the approaches used in this study can be extended to many host-microbe systems and increase the dimensions of phenotype that can be explored.
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