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Phenotyping viral infection in sweetpotato using a high-throughput chlorophyll fluorescence and thermal imaging platform
BACKGROUND: Virus diseases caused by co-infection with Sweet potato feathery mottle virus (SPFMV) and Sweetpotato chlorotic stunt virus (SPCSV) are a severe problem in the production of sweetpotato (Ipomoea batatas L.). Traditional molecular virus detection methods include nucleic acid-based and ser...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805361/ https://www.ncbi.nlm.nih.gov/pubmed/31649744 http://dx.doi.org/10.1186/s13007-019-0501-1 |
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author | Wang, Linping Poque, Sylvain Valkonen, Jari P. T. |
author_facet | Wang, Linping Poque, Sylvain Valkonen, Jari P. T. |
author_sort | Wang, Linping |
collection | PubMed |
description | BACKGROUND: Virus diseases caused by co-infection with Sweet potato feathery mottle virus (SPFMV) and Sweetpotato chlorotic stunt virus (SPCSV) are a severe problem in the production of sweetpotato (Ipomoea batatas L.). Traditional molecular virus detection methods include nucleic acid-based and serological tests. In this study, we aimed to validate the use of a non-destructive imaging-based plant phenotype platform to study plant-virus synergism in sweetpotato by comparing four virus treatments with two healthy controls. RESULTS: By monitoring physiological and morphological effects of viral infection in sweetpotato over 29 days, we quantified photosynthetic performance from chlorophyll fluorescence (ChlF) imaging and leaf thermography from thermal infrared (TIR) imaging among sweetpotatoes. Moreover, the differences among different treatments observed from ChlF and TIR imaging were related to virus accumulation and distribution in sweetpotato. These findings were further validated at the molecular level by related gene expression in both photosynthesis and carbon fixation pathways. CONCLUSION: Our study validated for the first time the use of ChlF- and TIR-based imaging systems to distinguish the severity of virus diseases related to SPFMV and SPCSV in sweetpotato. In addition, we demonstrated that the operating efficiency of PSII and photochemical quenching were the most sensitive parameters for the quantification of virus effects compared with maximum quantum efficiency, non-photochemical quenching, and leaf temperature. |
format | Online Article Text |
id | pubmed-6805361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68053612019-10-24 Phenotyping viral infection in sweetpotato using a high-throughput chlorophyll fluorescence and thermal imaging platform Wang, Linping Poque, Sylvain Valkonen, Jari P. T. Plant Methods Research BACKGROUND: Virus diseases caused by co-infection with Sweet potato feathery mottle virus (SPFMV) and Sweetpotato chlorotic stunt virus (SPCSV) are a severe problem in the production of sweetpotato (Ipomoea batatas L.). Traditional molecular virus detection methods include nucleic acid-based and serological tests. In this study, we aimed to validate the use of a non-destructive imaging-based plant phenotype platform to study plant-virus synergism in sweetpotato by comparing four virus treatments with two healthy controls. RESULTS: By monitoring physiological and morphological effects of viral infection in sweetpotato over 29 days, we quantified photosynthetic performance from chlorophyll fluorescence (ChlF) imaging and leaf thermography from thermal infrared (TIR) imaging among sweetpotatoes. Moreover, the differences among different treatments observed from ChlF and TIR imaging were related to virus accumulation and distribution in sweetpotato. These findings were further validated at the molecular level by related gene expression in both photosynthesis and carbon fixation pathways. CONCLUSION: Our study validated for the first time the use of ChlF- and TIR-based imaging systems to distinguish the severity of virus diseases related to SPFMV and SPCSV in sweetpotato. In addition, we demonstrated that the operating efficiency of PSII and photochemical quenching were the most sensitive parameters for the quantification of virus effects compared with maximum quantum efficiency, non-photochemical quenching, and leaf temperature. BioMed Central 2019-10-22 /pmc/articles/PMC6805361/ /pubmed/31649744 http://dx.doi.org/10.1186/s13007-019-0501-1 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Wang, Linping Poque, Sylvain Valkonen, Jari P. T. Phenotyping viral infection in sweetpotato using a high-throughput chlorophyll fluorescence and thermal imaging platform |
title | Phenotyping viral infection in sweetpotato using a high-throughput chlorophyll fluorescence and thermal imaging platform |
title_full | Phenotyping viral infection in sweetpotato using a high-throughput chlorophyll fluorescence and thermal imaging platform |
title_fullStr | Phenotyping viral infection in sweetpotato using a high-throughput chlorophyll fluorescence and thermal imaging platform |
title_full_unstemmed | Phenotyping viral infection in sweetpotato using a high-throughput chlorophyll fluorescence and thermal imaging platform |
title_short | Phenotyping viral infection in sweetpotato using a high-throughput chlorophyll fluorescence and thermal imaging platform |
title_sort | phenotyping viral infection in sweetpotato using a high-throughput chlorophyll fluorescence and thermal imaging platform |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805361/ https://www.ncbi.nlm.nih.gov/pubmed/31649744 http://dx.doi.org/10.1186/s13007-019-0501-1 |
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