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Quantitative High-Throughput, Real-Time Bioassay for Plant Pathogen Growth in vivo

Effective assessment of pathogen growth can facilitate screening for disease resistance, mapping of resistance loci, testing efficacy of control measures, or elucidation of fundamental host-pathogen interactions. Current methods are often limited by subjective assessments, inability to detect pathog...

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Autores principales: Zhang, Chunqiu, Mansfeld, Ben N., Lin, Ying-Chen, Grumet, Rebecca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902728/
https://www.ncbi.nlm.nih.gov/pubmed/33643365
http://dx.doi.org/10.3389/fpls.2021.637190
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author Zhang, Chunqiu
Mansfeld, Ben N.
Lin, Ying-Chen
Grumet, Rebecca
author_facet Zhang, Chunqiu
Mansfeld, Ben N.
Lin, Ying-Chen
Grumet, Rebecca
author_sort Zhang, Chunqiu
collection PubMed
description Effective assessment of pathogen growth can facilitate screening for disease resistance, mapping of resistance loci, testing efficacy of control measures, or elucidation of fundamental host-pathogen interactions. Current methods are often limited by subjective assessments, inability to detect pathogen growth prior to appearance of symptoms, destructive sampling, or limited capacity for replication and quantitative analysis. In this work we sought to develop a real-time, in vivo, high-throughput assay that would allow for quantification of pathogen growth. To establish such a system, we worked with the broad host-range, highly destructive, soil-borne oomycete pathogen, Phytophthora capsici. We used an isolate expressing red fluorescence protein (RFP) to establish a microtiter plate, real-time assay to quantify pathogen growth in live tissue. The system was successfully used to monitor P. capsici growth in planta on cucumber (Cucumis sativus) fruit and pepper (Capsicum annuum) leaf samples in relation to different levels of host susceptibility. These results demonstrate usefulness of the method in different species and tissue types, allowing for highly replicated, quantitative time-course measurements of pathogen growth in vivo. Analyses of pathogen growth during initial stages of infection preceding symptom development show the importance of very early stages of infection in determining disease outcome, and provide insight into points of inhibition of pathogen growth in different resistance systems.
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spelling pubmed-79027282021-02-25 Quantitative High-Throughput, Real-Time Bioassay for Plant Pathogen Growth in vivo Zhang, Chunqiu Mansfeld, Ben N. Lin, Ying-Chen Grumet, Rebecca Front Plant Sci Plant Science Effective assessment of pathogen growth can facilitate screening for disease resistance, mapping of resistance loci, testing efficacy of control measures, or elucidation of fundamental host-pathogen interactions. Current methods are often limited by subjective assessments, inability to detect pathogen growth prior to appearance of symptoms, destructive sampling, or limited capacity for replication and quantitative analysis. In this work we sought to develop a real-time, in vivo, high-throughput assay that would allow for quantification of pathogen growth. To establish such a system, we worked with the broad host-range, highly destructive, soil-borne oomycete pathogen, Phytophthora capsici. We used an isolate expressing red fluorescence protein (RFP) to establish a microtiter plate, real-time assay to quantify pathogen growth in live tissue. The system was successfully used to monitor P. capsici growth in planta on cucumber (Cucumis sativus) fruit and pepper (Capsicum annuum) leaf samples in relation to different levels of host susceptibility. These results demonstrate usefulness of the method in different species and tissue types, allowing for highly replicated, quantitative time-course measurements of pathogen growth in vivo. Analyses of pathogen growth during initial stages of infection preceding symptom development show the importance of very early stages of infection in determining disease outcome, and provide insight into points of inhibition of pathogen growth in different resistance systems. Frontiers Media S.A. 2021-02-10 /pmc/articles/PMC7902728/ /pubmed/33643365 http://dx.doi.org/10.3389/fpls.2021.637190 Text en Copyright © 2021 Zhang, Mansfeld, Lin and Grumet. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Zhang, Chunqiu
Mansfeld, Ben N.
Lin, Ying-Chen
Grumet, Rebecca
Quantitative High-Throughput, Real-Time Bioassay for Plant Pathogen Growth in vivo
title Quantitative High-Throughput, Real-Time Bioassay for Plant Pathogen Growth in vivo
title_full Quantitative High-Throughput, Real-Time Bioassay for Plant Pathogen Growth in vivo
title_fullStr Quantitative High-Throughput, Real-Time Bioassay for Plant Pathogen Growth in vivo
title_full_unstemmed Quantitative High-Throughput, Real-Time Bioassay for Plant Pathogen Growth in vivo
title_short Quantitative High-Throughput, Real-Time Bioassay for Plant Pathogen Growth in vivo
title_sort quantitative high-throughput, real-time bioassay for plant pathogen growth in vivo
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902728/
https://www.ncbi.nlm.nih.gov/pubmed/33643365
http://dx.doi.org/10.3389/fpls.2021.637190
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