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Real-time monitoring of Ralstonia solanacearum infection progress in tomato and Arabidopsis using bioluminescence imaging technology

BACKGROUND: Ralstonia solanacearum, one of the most devastating bacterial plant pathogens, is the causal agent of bacterial wilt. Recently, several studies on resistance to bacterial wilt have been conducted using the Arabidopsis-R. solanacearum system. However, the progress of R. solanacearum infec...

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Autores principales: Xu, Cuihong, Zhong, Lingkun, Huang, Zeming, Li, Chenying, Lian, Jiazhang, Zheng, Xuefang, Liang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761306/
https://www.ncbi.nlm.nih.gov/pubmed/35033123
http://dx.doi.org/10.1186/s13007-022-00841-x
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author Xu, Cuihong
Zhong, Lingkun
Huang, Zeming
Li, Chenying
Lian, Jiazhang
Zheng, Xuefang
Liang, Yan
author_facet Xu, Cuihong
Zhong, Lingkun
Huang, Zeming
Li, Chenying
Lian, Jiazhang
Zheng, Xuefang
Liang, Yan
author_sort Xu, Cuihong
collection PubMed
description BACKGROUND: Ralstonia solanacearum, one of the most devastating bacterial plant pathogens, is the causal agent of bacterial wilt. Recently, several studies on resistance to bacterial wilt have been conducted using the Arabidopsis-R. solanacearum system. However, the progress of R. solanacearum infection in Arabidopsis is still unclear. RESULTS: We generated a bioluminescent R. solanacearum by expressing plasmid-based luxCDABE. Expression of luxCDABE did not alter the bacterial growth and pathogenicity. The light intensity of bioluminescent R. solanacearum was linearly related to bacterial concentrations from 10(4) to 10(8) CFU·mL(−1). After root inoculation with bioluminescent R. solanacearum strain, light signals in tomato and Arabidopsis were found to be transported from roots to stems via the vasculature. Quantification of light intensity from the bioluminescent strain accurately reported the difference in disease resistance between Arabidopsis wild type and resistant mutants. CONCLUSIONS: Bioluminescent R. solanacearum strain spatially and quantitatively measured bacterial growth in tomato and Arabidopsis, and offered a tool for the high-throughput study of R. solanacearum-Arabidopsis interaction in the future.
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spelling pubmed-87613062022-01-18 Real-time monitoring of Ralstonia solanacearum infection progress in tomato and Arabidopsis using bioluminescence imaging technology Xu, Cuihong Zhong, Lingkun Huang, Zeming Li, Chenying Lian, Jiazhang Zheng, Xuefang Liang, Yan Plant Methods Methodology BACKGROUND: Ralstonia solanacearum, one of the most devastating bacterial plant pathogens, is the causal agent of bacterial wilt. Recently, several studies on resistance to bacterial wilt have been conducted using the Arabidopsis-R. solanacearum system. However, the progress of R. solanacearum infection in Arabidopsis is still unclear. RESULTS: We generated a bioluminescent R. solanacearum by expressing plasmid-based luxCDABE. Expression of luxCDABE did not alter the bacterial growth and pathogenicity. The light intensity of bioluminescent R. solanacearum was linearly related to bacterial concentrations from 10(4) to 10(8) CFU·mL(−1). After root inoculation with bioluminescent R. solanacearum strain, light signals in tomato and Arabidopsis were found to be transported from roots to stems via the vasculature. Quantification of light intensity from the bioluminescent strain accurately reported the difference in disease resistance between Arabidopsis wild type and resistant mutants. CONCLUSIONS: Bioluminescent R. solanacearum strain spatially and quantitatively measured bacterial growth in tomato and Arabidopsis, and offered a tool for the high-throughput study of R. solanacearum-Arabidopsis interaction in the future. BioMed Central 2022-01-15 /pmc/articles/PMC8761306/ /pubmed/35033123 http://dx.doi.org/10.1186/s13007-022-00841-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Methodology
Xu, Cuihong
Zhong, Lingkun
Huang, Zeming
Li, Chenying
Lian, Jiazhang
Zheng, Xuefang
Liang, Yan
Real-time monitoring of Ralstonia solanacearum infection progress in tomato and Arabidopsis using bioluminescence imaging technology
title Real-time monitoring of Ralstonia solanacearum infection progress in tomato and Arabidopsis using bioluminescence imaging technology
title_full Real-time monitoring of Ralstonia solanacearum infection progress in tomato and Arabidopsis using bioluminescence imaging technology
title_fullStr Real-time monitoring of Ralstonia solanacearum infection progress in tomato and Arabidopsis using bioluminescence imaging technology
title_full_unstemmed Real-time monitoring of Ralstonia solanacearum infection progress in tomato and Arabidopsis using bioluminescence imaging technology
title_short Real-time monitoring of Ralstonia solanacearum infection progress in tomato and Arabidopsis using bioluminescence imaging technology
title_sort real-time monitoring of ralstonia solanacearum infection progress in tomato and arabidopsis using bioluminescence imaging technology
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761306/
https://www.ncbi.nlm.nih.gov/pubmed/35033123
http://dx.doi.org/10.1186/s13007-022-00841-x
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