Chlorophyll Fluorescence and Reflectance-Based Non-Invasive Quantification of Blast, Bacterial Blight and Drought Stresses in Rice

Abstract Response of rice (Oryza sativa) exposed to both biotic and abiotic stresses can be quantified by employing fast and accurate optical methods. In this study, the overall stress responses of (i) 12 near-isogenic lines (NILs) in the genetic background of the rice blast-susceptible cultivar Lij...

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Veröffentlicht in:Plant and cell physiology 2018-01, Vol.59 (1), p.30-43
Hauptverfasser: Šebela, David, Qui�ones, Cherryl, Cruz, Casiana V, Ona, Isabelita, Olejn�čkov�, Julie, Jagadish, Krishna SV
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container_end_page 43
container_issue 1
container_start_page 30
container_title Plant and cell physiology
container_volume 59
creator Šebela, David
Qui�ones, Cherryl
Cruz, Casiana V
Ona, Isabelita
Olejn�čkov�, Julie
Jagadish, Krishna SV
description Abstract Response of rice (Oryza sativa) exposed to both biotic and abiotic stresses can be quantified by employing fast and accurate optical methods. In this study, the overall stress responses of (i) 12 near-isogenic lines (NILs) in the genetic background of the rice blast-susceptible cultivar Lijiangxintuanheigu (LTH) and (ii) four NILs in the genetic background of the bacterial blight-susceptible cultivar IR24, were inspected by means of Chl fluorescence (Chl-F) imaging. The distribution of the maximum and effective quantum yield of PSII (Fv/FM and QY) and steady-state Chl-F (Ft) were found to be effective in differentiating symptomatic leaf tissue for both rice blast and bacterial blight, which correlated well with 30 cycles of rice blast and six cycles of bacterial blight previously screened using classical (manual) approaches. Subsequently, identified Chl-F parameters allowing detection under ambient light (QY and Ft) were tested across both biotic and abiotic (drought) stress experiments, for rice cultivars contrasting for drought stress response (N22, IR64 and NSIC Rc 222). Their applicability has been proven for both rice blast and bacterial blight; however, QY failed to detect the effect of drought. In addition to Chl-F, the usefulness of 11 selected vegetation indices (Vis) was tested on these three cultivars exposed to particular stresses: (i) rice blast was detectable by Vis calculated from the visible spectrum; (ii) bacterial blight by near-infrared-related Vis; and (iii) drought by Vis calculated from the visible spectrum. The key Chl-F parameters and/or Vis have been summarized and discussed.
doi_str_mv 10.1093/pcp/pcx144
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In this study, the overall stress responses of (i) 12 near-isogenic lines (NILs) in the genetic background of the rice blast-susceptible cultivar Lijiangxintuanheigu (LTH) and (ii) four NILs in the genetic background of the bacterial blight-susceptible cultivar IR24, were inspected by means of Chl fluorescence (Chl-F) imaging. The distribution of the maximum and effective quantum yield of PSII (Fv/FM and QY) and steady-state Chl-F (Ft) were found to be effective in differentiating symptomatic leaf tissue for both rice blast and bacterial blight, which correlated well with 30 cycles of rice blast and six cycles of bacterial blight previously screened using classical (manual) approaches. Subsequently, identified Chl-F parameters allowing detection under ambient light (QY and Ft) were tested across both biotic and abiotic (drought) stress experiments, for rice cultivars contrasting for drought stress response (N22, IR64 and NSIC Rc 222). Their applicability has been proven for both rice blast and bacterial blight; however, QY failed to detect the effect of drought. In addition to Chl-F, the usefulness of 11 selected vegetation indices (Vis) was tested on these three cultivars exposed to particular stresses: (i) rice blast was detectable by Vis calculated from the visible spectrum; (ii) bacterial blight by near-infrared-related Vis; and (iii) drought by Vis calculated from the visible spectrum. 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Their applicability has been proven for both rice blast and bacterial blight; however, QY failed to detect the effect of drought. In addition to Chl-F, the usefulness of 11 selected vegetation indices (Vis) was tested on these three cultivars exposed to particular stresses: (i) rice blast was detectable by Vis calculated from the visible spectrum; (ii) bacterial blight by near-infrared-related Vis; and (iii) drought by Vis calculated from the visible spectrum. The key Chl-F parameters and/or Vis have been summarized and discussed.</description><subject>Chlorophyll - chemistry</subject><subject>Chlorophyll - metabolism</subject><subject>Droughts</subject><subject>Fluorescence</subject><subject>Fluorometry</subject><subject>Gene Expression Regulation, Plant</subject><subject>Host-Pathogen Interactions</subject><subject>Magnaporthe - physiology</subject><subject>Oryza - genetics</subject><subject>Oryza - metabolism</subject><subject>Oryza - microbiology</subject><subject>Photosystem II Protein Complex - genetics</subject><subject>Photosystem II Protein Complex - metabolism</subject><subject>Plant Diseases - genetics</subject><subject>Plant Diseases - microbiology</subject><subject>Plant Leaves - genetics</subject><subject>Plant Leaves - metabolism</subject><subject>Plant Leaves - microbiology</subject><subject>Spectrophotometry</subject><subject>Stress, Physiological</subject><subject>Xanthomonas - physiology</subject><issn>0032-0781</issn><issn>1471-9053</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEFPHCEYhomp0e3aiz-g4dLENB2FAWaGo7vWdhOjqa3nyTcsuBh2GIHZuFd_ebFrPXogvJAn75fvQeiYklNKJDsb1JDPE-V8D00or2khiWAf0IQQVhakbugh-hjjAyE5M3KADkvJasIZn6Dn-cr54IfV1jl86UYfdFS6VxpDv8S32jitEuR3MYOol_ja98Wi30C0G41_jdAna6yCZH2PvcEzBzF9wzNQSQcLLn_Y-1X6V3YR_PiSf6c8I-qIbY9vrdJHaN-Ai_rT6z1Fd5ff_8x_Flc3Pxbz86tCcSpTIZSSxvCKc9MJziuQwOuaqhJEVVWGCFVT3hgmyrJsRCc5dAKqrjGdErqTjE3Rya53CP5x1DG1a5t3dQ567cfYUilLkq3QJqNfd6gKPsagTTsEu4awbSlpX5y32Xm7c57hz6-9Y7fWyzf0v-QMfNkBfhzeK_oLxAyLkg</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Šebela, David</creator><creator>Qui�ones, Cherryl</creator><creator>Cruz, Casiana V</creator><creator>Ona, Isabelita</creator><creator>Olejn�čkov�, Julie</creator><creator>Jagadish, Krishna SV</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20180101</creationdate><title>Chlorophyll Fluorescence and Reflectance-Based Non-Invasive Quantification of Blast, Bacterial Blight and Drought Stresses in Rice</title><author>Šebela, David ; 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Their applicability has been proven for both rice blast and bacterial blight; however, QY failed to detect the effect of drought. In addition to Chl-F, the usefulness of 11 selected vegetation indices (Vis) was tested on these three cultivars exposed to particular stresses: (i) rice blast was detectable by Vis calculated from the visible spectrum; (ii) bacterial blight by near-infrared-related Vis; and (iii) drought by Vis calculated from the visible spectrum. The key Chl-F parameters and/or Vis have been summarized and discussed.</abstract><cop>Japan</cop><pub>Oxford University Press</pub><pmid>29370434</pmid><doi>10.1093/pcp/pcx144</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record>
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subjects Chlorophyll - chemistry
Chlorophyll - metabolism
Droughts
Fluorescence
Fluorometry
Gene Expression Regulation, Plant
Host-Pathogen Interactions
Magnaporthe - physiology
Oryza - genetics
Oryza - metabolism
Oryza - microbiology
Photosystem II Protein Complex - genetics
Photosystem II Protein Complex - metabolism
Plant Diseases - genetics
Plant Diseases - microbiology
Plant Leaves - genetics
Plant Leaves - metabolism
Plant Leaves - microbiology
Spectrophotometry
Stress, Physiological
Xanthomonas - physiology
title Chlorophyll Fluorescence and Reflectance-Based Non-Invasive Quantification of Blast, Bacterial Blight and Drought Stresses in Rice
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