Phenotyping of Arabidopsis Drought Stress Response Using Kinetic Chlorophyll Fluorescence and Multicolor Fluorescence Imaging
Plant responses to drought stress are complex due to various mechanisms of drought avoidance and tolerance to maintain growth. Traditional plant phenotyping methods are labor-intensive, time-consuming, and subjective. Plant phenotyping by integrating kinetic chlorophyll fluorescence with multicolor...
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| Format: | Article |
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Frontiers Media S.A.
2018-05-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | http://journal.frontiersin.org/article/10.3389/fpls.2018.00603/full |
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| author | Jieni Yao Jieni Yao Dawei Sun Dawei Sun Haiyan Cen Haiyan Cen Haixia Xu Haixia Xu Haiyong Weng Haiyong Weng Fang Yuan Yong He Yong He |
| author_facet | Jieni Yao Jieni Yao Dawei Sun Dawei Sun Haiyan Cen Haiyan Cen Haixia Xu Haixia Xu Haiyong Weng Haiyong Weng Fang Yuan Yong He Yong He |
| author_sort | Jieni Yao |
| collection | DOAJ |
| description | Plant responses to drought stress are complex due to various mechanisms of drought avoidance and tolerance to maintain growth. Traditional plant phenotyping methods are labor-intensive, time-consuming, and subjective. Plant phenotyping by integrating kinetic chlorophyll fluorescence with multicolor fluorescence imaging can acquire plant morphological, physiological, and pathological traits related to photosynthesis as well as its secondary metabolites, which will provide a new means to promote the progress of breeding for drought tolerant accessions and gain economic benefit for global agriculture production. Combination of kinetic chlorophyll fluorescence and multicolor fluorescence imaging proved to be efficient for the early detection of drought stress responses in the Arabidopsis ecotype Col-0 and one of its most affected mutants called reduced hyperosmolality-induced [Ca2+]i increase 1. Kinetic chlorophyll fluorescence curves were useful for understanding the drought tolerance mechanism of Arabidopsis. Conventional fluorescence parameters provided qualitative information related to drought stress responses in different genotypes, and the corresponding images showed spatial heterogeneities of drought stress responses within the leaf and the canopy levels. Fluorescence parameters selected by sequential forward selection presented high correlations with physiological traits but not morphological traits. The optimal fluorescence traits combined with the support vector machine resulted in good classification accuracies of 93.3 and 99.1% for classifying the control plants from the drought-stressed ones with 3 and 7 days treatments, respectively. The results demonstrated that the combination of kinetic chlorophyll fluorescence and multicolor fluorescence imaging with the machine learning technique was capable of providing comprehensive information of drought stress effects on the photosynthesis and the secondary metabolisms. It is a promising phenotyping technique that allows early detection of plant drought stress. |
| first_indexed | 2024-04-13T09:40:05Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-04-13T09:40:05Z |
| publishDate | 2018-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-a74907b4725e42c89f586eba908800e62022-12-22T02:51:56ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2018-05-01910.3389/fpls.2018.00603366780Phenotyping of Arabidopsis Drought Stress Response Using Kinetic Chlorophyll Fluorescence and Multicolor Fluorescence ImagingJieni Yao0Jieni Yao1Dawei Sun2Dawei Sun3Haiyan Cen4Haiyan Cen5Haixia Xu6Haixia Xu7Haiyong Weng8Haiyong Weng9Fang Yuan10Yong He11Yong He12College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, ChinaKey Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, ChinaKey Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, ChinaKey Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, ChinaKey Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, ChinaKey Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou, ChinaCenter for Plant Environmental Sensing, College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, ChinaKey Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou, ChinaPlant responses to drought stress are complex due to various mechanisms of drought avoidance and tolerance to maintain growth. Traditional plant phenotyping methods are labor-intensive, time-consuming, and subjective. Plant phenotyping by integrating kinetic chlorophyll fluorescence with multicolor fluorescence imaging can acquire plant morphological, physiological, and pathological traits related to photosynthesis as well as its secondary metabolites, which will provide a new means to promote the progress of breeding for drought tolerant accessions and gain economic benefit for global agriculture production. Combination of kinetic chlorophyll fluorescence and multicolor fluorescence imaging proved to be efficient for the early detection of drought stress responses in the Arabidopsis ecotype Col-0 and one of its most affected mutants called reduced hyperosmolality-induced [Ca2+]i increase 1. Kinetic chlorophyll fluorescence curves were useful for understanding the drought tolerance mechanism of Arabidopsis. Conventional fluorescence parameters provided qualitative information related to drought stress responses in different genotypes, and the corresponding images showed spatial heterogeneities of drought stress responses within the leaf and the canopy levels. Fluorescence parameters selected by sequential forward selection presented high correlations with physiological traits but not morphological traits. The optimal fluorescence traits combined with the support vector machine resulted in good classification accuracies of 93.3 and 99.1% for classifying the control plants from the drought-stressed ones with 3 and 7 days treatments, respectively. The results demonstrated that the combination of kinetic chlorophyll fluorescence and multicolor fluorescence imaging with the machine learning technique was capable of providing comprehensive information of drought stress effects on the photosynthesis and the secondary metabolisms. It is a promising phenotyping technique that allows early detection of plant drought stress.http://journal.frontiersin.org/article/10.3389/fpls.2018.00603/fullkinetic chlorophyll fluorescence imagingmulticolor fluorescence imagingplant phenotypingdrought stressArabidopsissupport vector machine |
| spellingShingle | Jieni Yao Jieni Yao Dawei Sun Dawei Sun Haiyan Cen Haiyan Cen Haixia Xu Haixia Xu Haiyong Weng Haiyong Weng Fang Yuan Yong He Yong He Phenotyping of Arabidopsis Drought Stress Response Using Kinetic Chlorophyll Fluorescence and Multicolor Fluorescence Imaging Frontiers in Plant Science kinetic chlorophyll fluorescence imaging multicolor fluorescence imaging plant phenotyping drought stress Arabidopsis support vector machine |
| title | Phenotyping of Arabidopsis Drought Stress Response Using Kinetic Chlorophyll Fluorescence and Multicolor Fluorescence Imaging |
| title_full | Phenotyping of Arabidopsis Drought Stress Response Using Kinetic Chlorophyll Fluorescence and Multicolor Fluorescence Imaging |
| title_fullStr | Phenotyping of Arabidopsis Drought Stress Response Using Kinetic Chlorophyll Fluorescence and Multicolor Fluorescence Imaging |
| title_full_unstemmed | Phenotyping of Arabidopsis Drought Stress Response Using Kinetic Chlorophyll Fluorescence and Multicolor Fluorescence Imaging |
| title_short | Phenotyping of Arabidopsis Drought Stress Response Using Kinetic Chlorophyll Fluorescence and Multicolor Fluorescence Imaging |
| title_sort | phenotyping of arabidopsis drought stress response using kinetic chlorophyll fluorescence and multicolor fluorescence imaging |
| topic | kinetic chlorophyll fluorescence imaging multicolor fluorescence imaging plant phenotyping drought stress Arabidopsis support vector machine |
| url | http://journal.frontiersin.org/article/10.3389/fpls.2018.00603/full |
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