GC‐MS Analysis of Headspace and Liquid Extracts for Metabolomic Differentiation of Citrus Huanglongbing and Zinc Deficiency in Leaves of ‘Valencia’ Sweet Orange from Commercial Groves
Identifieur interne : 000639 ( Istex/Corpus ); précédent : 000638; suivant : 000640GC‐MS Analysis of Headspace and Liquid Extracts for Metabolomic Differentiation of Citrus Huanglongbing and Zinc Deficiency in Leaves of ‘Valencia’ Sweet Orange from Commercial Groves
Auteurs : Juan Manuel Cevallos-Cevallos ; Rosalía García-Torres ; Edgardo Etxeberria ; José Ignacio Reyes-De-CorcueraSource :
- Phytochemical Analysis [ 0958-0344 ] ; 2011-05.
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- KwdEn :
Abstract
Introduction – Citrus Huanglongbing (HLB) is considered the most destructive citrus disease worldwide. Symptoms‐based detection of HLB is difficult due to similarities with zinc deficiency. Objective – To find metabolic differences between leaves from HLB‐infected, zinc‐deficient, and healthy ‘Valencia’ orange trees by using GC‐MS based metabolomics. Methodology – Analysis based on GC‐MS methods for untargeted metabolite analysis of citrus leaves was developed and optimized. Sample extracts from healthy, zinc deficient, or HLB‐infected sweet orange leaves were submitted to headspace solid phase micro‐extraction (SPME) and derivatization treatments prior to GC‐MS analysis. Results – Principal components analysis achieved correct classification of all the derivatized liquid extracts. Analysis of variance revealed 6 possible biomarkers for HLB, of which 5 were identified as proline, β‐elemene, (‐)trans‐ caryophyllene, and α‐humulene. Significant (P < 0.05) differences in oxo‐butanedioic acid, arabitol, and neo‐inositol were exclusively detected in samples from plants with zinc deficiency. Levels of isocaryophyllen, α‐selinene, β‐selinene, and fructose were significantly (P < 0.05) different in healthy leaves only. Conclusion – Results suggest the potential of using identified HLB biomarkers for rapid differentiation of HLB from zinc deficiency. Copyright © 2010 John Wiley & Sons, Ltd.
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DOI: 10.1002/pca.1271
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Anal.</title><idno type="ISSN">0958-0344</idno><idno type="eISSN">1099-1565</idno><imprint><publisher>John Wiley & Sons, Ltd.</publisher><pubPlace>Chichester, UK</pubPlace><date type="published" when="2011-05">2011-05</date><biblScope unit="volume">22</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="236">236</biblScope><biblScope unit="page" to="246">246</biblScope></imprint><idno type="ISSN">0958-0344</idno></series><idno type="istex">CD06B94FA0DE49EA1862FA14B8F0E6AB58E2DA8C</idno><idno type="DOI">10.1002/pca.1271</idno><idno type="ArticleID">PCA1271</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0958-0344</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>GC‐MS</term><term>Huanglongbing</term><term>biomarker</term><term>citrus</term><term>metabolomics</term><term>zinc deficiency</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Introduction – Citrus Huanglongbing (HLB) is considered the most destructive citrus disease worldwide. Symptoms‐based detection of HLB is difficult due to similarities with zinc deficiency. Objective – To find metabolic differences between leaves from HLB‐infected, zinc‐deficient, and healthy ‘Valencia’ orange trees by using GC‐MS based metabolomics. Methodology – Analysis based on GC‐MS methods for untargeted metabolite analysis of citrus leaves was developed and optimized. Sample extracts from healthy, zinc deficient, or HLB‐infected sweet orange leaves were submitted to headspace solid phase micro‐extraction (SPME) and derivatization treatments prior to GC‐MS analysis. Results – Principal components analysis achieved correct classification of all the derivatized liquid extracts. Analysis of variance revealed 6 possible biomarkers for HLB, of which 5 were identified as proline, β‐elemene, (‐)trans‐ caryophyllene, and α‐humulene. Significant (P < 0.05) differences in oxo‐butanedioic acid, arabitol, and neo‐inositol were exclusively detected in samples from plants with zinc deficiency. Levels of isocaryophyllen, α‐selinene, β‐selinene, and fructose were significantly (P < 0.05) different in healthy leaves only. Conclusion – Results suggest the potential of using identified HLB biomarkers for rapid differentiation of HLB from zinc deficiency. Copyright © 2010 John Wiley & Sons, Ltd.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Juan Manuel Cevallos‐Cevallos</name><affiliations><json:string>University of Florida, IFAS, Citrus Research and Education Center, Lake Alfred, FL</json:string></affiliations></json:item><json:item><name>Rosalía García‐Torres</name><affiliations><json:string>University of Florida, IFAS, Citrus Research and Education Center, Lake Alfred, FL</json:string></affiliations></json:item><json:item><name>Edgardo Etxeberria</name><affiliations><json:string>University of Florida, IFAS, Citrus Research and Education Center, Lake Alfred, FL</json:string></affiliations></json:item><json:item><name>José Ignacio Reyes‐De‐Corcuera</name><affiliations><json:string>University of Florida, IFAS, Citrus Research and Education Center, Lake Alfred, FL</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Huanglongbing</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>metabolomics</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>biomarker</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>GC‐MS</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>citrus</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>zinc deficiency</value></json:item></subject><articleId><json:string>PCA1271</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>Introduction – Citrus Huanglongbing (HLB) is considered the most destructive citrus disease worldwide. Symptoms‐based detection of HLB is difficult due to similarities with zinc deficiency. Objective – To find metabolic differences between leaves from HLB‐infected, zinc‐deficient, and healthy ‘Valencia’ orange trees by using GC‐MS based metabolomics. Methodology – Analysis based on GC‐MS methods for untargeted metabolite analysis of citrus leaves was developed and optimized. Sample extracts from healthy, zinc deficient, or HLB‐infected sweet orange leaves were submitted to headspace solid phase micro‐extraction (SPME) and derivatization treatments prior to GC‐MS analysis. Results – Principal components analysis achieved correct classification of all the derivatized liquid extracts. Analysis of variance revealed 6 possible biomarkers for HLB, of which 5 were identified as proline, β‐elemene, (‐)trans‐ caryophyllene, and α‐humulene. Significant (P > 0.05) differences in oxo‐butanedioic acid, arabitol, and neo‐inositol were exclusively detected in samples from plants with zinc deficiency. Levels of isocaryophyllen, α‐selinene, β‐selinene, and fructose were significantly (P > 0.05) different in healthy leaves only. Conclusion – Results suggest the potential of using identified HLB biomarkers for rapid differentiation of HLB from zinc deficiency. Copyright © 2010 John Wiley & Sons, Ltd.</abstract><qualityIndicators><score>7.28</score><pdfVersion>1.3</pdfVersion><pdfPageSize>595.276 x 790.866 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>6</keywordCount><abstractCharCount>1404</abstractCharCount><pdfWordCount>6071</pdfWordCount><pdfCharCount>43836</pdfCharCount><pdfPageCount>11</pdfPageCount><abstractWordCount>190</abstractWordCount></qualityIndicators><title>GC‐MS Analysis of Headspace and Liquid Extracts for Metabolomic Differentiation of Citrus Huanglongbing and Zinc Deficiency in Leaves of ‘Valencia’ Sweet Orange from Commercial Groves</title><genre><json:string>article</json:string></genre><host><volume>22</volume><publisherId><json:string>PCA</json:string></publisherId><pages><total>11</total><last>246</last><first>236</first></pages><issn><json:string>0958-0344</json:string></issn><issue>3</issue><subject><json:item><value>Research Article</value></json:item></subject><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><eissn><json:string>1099-1565</json:string></eissn><title>Phytochemical Analysis</title><doi><json:string>10.1002/(ISSN)1099-1565</json:string></doi></host><publicationDate>2011</publicationDate><copyrightDate>2011</copyrightDate><doi><json:string>10.1002/pca.1271</json:string></doi><id>CD06B94FA0DE49EA1862FA14B8F0E6AB58E2DA8C</id><score>0.33271098</score><fulltext><json:item><original>true</original><mimetype>application/pdf</mimetype><extension>pdf</extension><uri>https://api.istex.fr/document/CD06B94FA0DE49EA1862FA14B8F0E6AB58E2DA8C/fulltext/pdf</uri></json:item><json:item><original>false</original><mimetype>application/zip</mimetype><extension>zip</extension><uri>https://api.istex.fr/document/CD06B94FA0DE49EA1862FA14B8F0E6AB58E2DA8C/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/CD06B94FA0DE49EA1862FA14B8F0E6AB58E2DA8C/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">GC‐MS Analysis of Headspace and Liquid Extracts for Metabolomic Differentiation of Citrus Huanglongbing and Zinc Deficiency in Leaves of ‘Valencia’ Sweet Orange from Commercial Groves</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>John Wiley & Sons, Ltd.</publisher><pubPlace>Chichester, UK</pubPlace><availability><p>Copyright © 2010 John Wiley & Sons, Ltd.</p></availability><date>2011</date></publicationStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">GC‐MS Analysis of Headspace and Liquid Extracts for Metabolomic Differentiation of Citrus Huanglongbing and Zinc Deficiency in Leaves of ‘Valencia’ Sweet Orange from Commercial Groves</title><author xml:id="author-1"><persName><forename type="first">Juan Manuel</forename><surname>Cevallos‐Cevallos</surname></persName><affiliation>University of Florida, IFAS, Citrus Research and Education Center, Lake Alfred, FL</affiliation></author><author xml:id="author-2"><persName><forename type="first">Rosalía</forename><surname>García‐Torres</surname></persName><affiliation>University of Florida, IFAS, Citrus Research and Education Center, Lake Alfred, FL</affiliation></author><author xml:id="author-3"><persName><forename type="first">Edgardo</forename><surname>Etxeberria</surname></persName><affiliation>University of Florida, IFAS, Citrus Research and Education Center, Lake Alfred, FL</affiliation></author><author xml:id="author-4"><persName><forename type="first">José Ignacio</forename><surname>Reyes‐De‐Corcuera</surname></persName><note type="correspondence"><p>Correspondence: Reyes‐De‐Corcuera, 700 Experiment Station Rd., Lake Alfred, FL 33850. Phone: 863‐956‐1151 x 1344, Fax: 863‐956‐4631</p></note><affiliation>University of Florida, IFAS, Citrus Research and Education Center, Lake Alfred, FL</affiliation></author></analytic><monogr><title level="j">Phytochemical Analysis</title><title level="j" type="abbrev">Phytochem. Anal.</title><idno type="pISSN">0958-0344</idno><idno type="eISSN">1099-1565</idno><idno type="DOI">10.1002/(ISSN)1099-1565</idno><imprint><publisher>John Wiley & Sons, Ltd.</publisher><pubPlace>Chichester, UK</pubPlace><date type="published" when="2011-05"></date><biblScope unit="volume">22</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="236">236</biblScope><biblScope unit="page" to="246">246</biblScope></imprint></monogr><idno type="istex">CD06B94FA0DE49EA1862FA14B8F0E6AB58E2DA8C</idno><idno type="DOI">10.1002/pca.1271</idno><idno type="ArticleID">PCA1271</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2011</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Introduction – Citrus Huanglongbing (HLB) is considered the most destructive citrus disease worldwide. Symptoms‐based detection of HLB is difficult due to similarities with zinc deficiency. Objective – To find metabolic differences between leaves from HLB‐infected, zinc‐deficient, and healthy ‘Valencia’ orange trees by using GC‐MS based metabolomics. Methodology – Analysis based on GC‐MS methods for untargeted metabolite analysis of citrus leaves was developed and optimized. Sample extracts from healthy, zinc deficient, or HLB‐infected sweet orange leaves were submitted to headspace solid phase micro‐extraction (SPME) and derivatization treatments prior to GC‐MS analysis. Results – Principal components analysis achieved correct classification of all the derivatized liquid extracts. Analysis of variance revealed 6 possible biomarkers for HLB, of which 5 were identified as proline, β‐elemene, (‐)trans‐ caryophyllene, and α‐humulene. Significant (P < 0.05) differences in oxo‐butanedioic acid, arabitol, and neo‐inositol were exclusively detected in samples from plants with zinc deficiency. Levels of isocaryophyllen, α‐selinene, β‐selinene, and fructose were significantly (P < 0.05) different in healthy leaves only. Conclusion – Results suggest the potential of using identified HLB biomarkers for rapid differentiation of HLB from zinc deficiency. Copyright © 2010 John Wiley & Sons, Ltd.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>keywords</head><item><term>Huanglongbing</term></item><item><term>metabolomics</term></item><item><term>biomarker</term></item><item><term>GC‐MS</term></item><item><term>citrus</term></item><item><term>zinc deficiency</term></item></list></keywords></textClass><textClass><keywords scheme="Journal Subject"><list><head>article-category</head><item><term>Research Article</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2010-03-25">Received</change><change when="2010-06-20">Registration</change><change when="2011-05">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><original>false</original><mimetype>text/plain</mimetype><extension>txt</extension><uri>https://api.istex.fr/document/CD06B94FA0DE49EA1862FA14B8F0E6AB58E2DA8C/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>John Wiley & Sons, Ltd.</publisherName><publisherLoc>Chichester, UK</publisherLoc></publisherInfo><doi registered="yes">10.1002/(ISSN)1099-1565</doi><issn type="print">0958-0344</issn><issn type="electronic">1099-1565</issn><idGroup><id type="product" value="PCA"></id></idGroup><titleGroup><title type="main" xml:lang="en" sort="PHYTOCHEMICAL ANALYSIS">Phytochemical Analysis</title><title type="short">Phytochem. Anal.</title></titleGroup></publicationMeta><publicationMeta level="part" position="30"><doi origin="wiley" registered="yes">10.1002/pca.v22.3</doi><numberingGroup><numbering type="journalVolume" number="22">22</numbering><numbering type="journalIssue">3</numbering></numberingGroup><coverDate startDate="2011-05">May/June 2011</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="70" status="forIssue"><doi origin="wiley" registered="yes">10.1002/pca.1271</doi><idGroup><id type="unit" value="PCA1271"></id></idGroup><countGroup><count type="pageTotal" number="11"></count></countGroup><titleGroup><title type="articleCategory">Research Article</title><title type="tocHeading1">Research Articles</title></titleGroup><copyright ownership="joint">Copyright © 2010 John Wiley & Sons, Ltd.</copyright><eventGroup><event type="manuscriptReceived" date="2010-03-25"></event><event type="manuscriptRevised" date="2010-06-15"></event><event type="manuscriptAccepted" date="2010-06-20"></event><event type="xmlConverted" agent="Converter:JWSART34_TO_WML3G version:2.4.8 mode:FullText" date="2011-04-11"></event><event type="publishedOnlineEarlyUnpaginated" date="2010-11-02"></event><event type="firstOnline" date="2010-11-02"></event><event type="publishedOnlineFinalForm" date="2011-04-11"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-02-06"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-11-03"></event></eventGroup><numberingGroup><numbering type="pageFirst">236</numbering><numbering type="pageLast">246</numbering></numberingGroup><correspondenceTo>Reyes‐De‐Corcuera, 700 Experiment Station Rd., Lake Alfred, FL 33850. Phone: 863‐956‐1151 x 1344, Fax: 863‐956‐4631</correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:PCA.PCA1271.pdf"></link></linkGroup></publicationMeta><contentMeta><countGroup><count type="figureTotal" number="6"></count><count type="tableTotal" number="4"></count><count type="referenceTotal" number="53"></count></countGroup><titleGroup><title type="main" xml:lang="en">GC‐MS Analysis of Headspace and Liquid Extracts for Metabolomic Differentiation of Citrus Huanglongbing and Zinc Deficiency in Leaves of ‘Valencia’ Sweet Orange from Commercial Groves</title><title type="short" xml:lang="en">GC‐MS Analysis for Metabolomic Differentiation of Citrus Huanglongbing</title></titleGroup><creators><creator xml:id="au1" creatorRole="author" affiliationRef="#af1"><personName><givenNames>Juan Manuel</givenNames><familyName>Cevallos‐Cevallos</familyName></personName></creator><creator xml:id="au2" creatorRole="author" affiliationRef="#af1"><personName><givenNames>Rosalía</givenNames><familyName>García‐Torres</familyName></personName></creator><creator xml:id="au3" creatorRole="author" affiliationRef="#af1"><personName><givenNames>Edgardo</givenNames><familyName>Etxeberria</familyName></personName></creator><creator xml:id="au4" creatorRole="author" affiliationRef="#af1" corresponding="yes"><personName><givenNames>José Ignacio</givenNames><familyName>Reyes‐De‐Corcuera</familyName></personName><contactDetails><email>jireyes@ufl.edu</email></contactDetails></creator></creators><affiliationGroup><affiliation xml:id="af1" countryCode="US" type="organization"><unparsedAffiliation>University of Florida, IFAS, Citrus Research and Education Center, Lake Alfred, FL</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en" type="author"><keyword xml:id="kwd1">Huanglongbing</keyword><keyword xml:id="kwd2">metabolomics</keyword><keyword xml:id="kwd3">biomarker</keyword><keyword xml:id="kwd4">GC‐MS</keyword><keyword xml:id="kwd5">citrus</keyword><keyword xml:id="kwd6">zinc deficiency</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><title type="main">Abstract</title><p>Introduction – Citrus Huanglongbing (HLB) is considered the most destructive citrus disease worldwide. Symptoms‐based detection of HLB is difficult due to similarities with zinc deficiency.</p><p>Objective – To find metabolic differences between leaves from HLB‐infected, zinc‐deficient, and healthy ‘Valencia’ orange trees by using GC‐MS based metabolomics.</p><p>Methodology – Analysis based on GC‐MS methods for untargeted metabolite analysis of citrus leaves was developed and optimized. Sample extracts from healthy, zinc deficient, or HLB‐infected sweet orange leaves were submitted to headspace solid phase micro‐extraction (SPME) and derivatization treatments prior to GC‐MS analysis.</p><p>Results – Principal components analysis achieved correct classification of all the derivatized liquid extracts. Analysis of variance revealed 6 possible biomarkers for HLB, of which 5 were identified as proline, β‐elemene, (‐)trans‐ caryophyllene, and <i>α</i>‐humulene. Significant (P < 0.05) differences in oxo‐butanedioic acid, arabitol, and neo‐inositol were exclusively detected in samples from plants with zinc deficiency. Levels of isocaryophyllen, <i>α</i>‐selinene, <i>β</i>‐selinene, and fructose were significantly (P < 0.05) different in healthy leaves only.</p><p>Conclusion – Results suggest the potential of using identified HLB biomarkers for rapid differentiation of HLB from zinc deficiency. Copyright © 2010 John Wiley & Sons, Ltd.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>GC‐MS Analysis of Headspace and Liquid Extracts for Metabolomic Differentiation of Citrus Huanglongbing and Zinc Deficiency in Leaves of ‘Valencia’ Sweet Orange from Commercial Groves</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>GC‐MS Analysis for Metabolomic Differentiation of Citrus Huanglongbing</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>GC‐MS Analysis of Headspace and Liquid Extracts for Metabolomic Differentiation of Citrus Huanglongbing and Zinc Deficiency in Leaves of ‘Valencia’ Sweet Orange from Commercial Groves</title></titleInfo><name type="personal"><namePart type="given">Juan Manuel</namePart><namePart type="family">Cevallos‐Cevallos</namePart><affiliation>University of Florida, IFAS, Citrus Research and Education Center, Lake Alfred, FL</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Rosalía</namePart><namePart type="family">García‐Torres</namePart><affiliation>University of Florida, IFAS, Citrus Research and Education Center, Lake Alfred, FL</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Edgardo</namePart><namePart type="family">Etxeberria</namePart><affiliation>University of Florida, IFAS, Citrus Research and Education Center, Lake Alfred, FL</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">José Ignacio</namePart><namePart type="family">Reyes‐De‐Corcuera</namePart><affiliation>University of Florida, IFAS, Citrus Research and Education Center, Lake Alfred, FL</affiliation><description>Correspondence: Reyes‐De‐Corcuera, 700 Experiment Station Rd., Lake Alfred, FL 33850. Phone: 863‐956‐1151 x 1344, Fax: 863‐956‐4631</description><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>John Wiley & Sons, Ltd.</publisher><place><placeTerm type="text">Chichester, UK</placeTerm></place><dateIssued encoding="w3cdtf">2011-05</dateIssued><dateCaptured encoding="w3cdtf">2010-03-25</dateCaptured><dateValid encoding="w3cdtf">2010-06-20</dateValid><copyrightDate encoding="w3cdtf">2011</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">6</extent><extent unit="tables">4</extent><extent unit="references">53</extent></physicalDescription><abstract lang="en">Introduction – Citrus Huanglongbing (HLB) is considered the most destructive citrus disease worldwide. Symptoms‐based detection of HLB is difficult due to similarities with zinc deficiency. Objective – To find metabolic differences between leaves from HLB‐infected, zinc‐deficient, and healthy ‘Valencia’ orange trees by using GC‐MS based metabolomics. Methodology – Analysis based on GC‐MS methods for untargeted metabolite analysis of citrus leaves was developed and optimized. Sample extracts from healthy, zinc deficient, or HLB‐infected sweet orange leaves were submitted to headspace solid phase micro‐extraction (SPME) and derivatization treatments prior to GC‐MS analysis. Results – Principal components analysis achieved correct classification of all the derivatized liquid extracts. Analysis of variance revealed 6 possible biomarkers for HLB, of which 5 were identified as proline, β‐elemene, (‐)trans‐ caryophyllene, and α‐humulene. Significant (P < 0.05) differences in oxo‐butanedioic acid, arabitol, and neo‐inositol were exclusively detected in samples from plants with zinc deficiency. Levels of isocaryophyllen, α‐selinene, β‐selinene, and fructose were significantly (P < 0.05) different in healthy leaves only. Conclusion – Results suggest the potential of using identified HLB biomarkers for rapid differentiation of HLB from zinc deficiency. Copyright © 2010 John Wiley & Sons, Ltd.</abstract><subject lang="en"><genre>keywords</genre><topic>Huanglongbing</topic><topic>metabolomics</topic><topic>biomarker</topic><topic>GC‐MS</topic><topic>citrus</topic><topic>zinc deficiency</topic></subject><relatedItem type="host"><titleInfo><title>Phytochemical Analysis</title></titleInfo><titleInfo type="abbreviated"><title>Phytochem. Anal.</title></titleInfo><genre type="journal">journal</genre><subject><genre>article-category</genre><topic>Research Article</topic></subject><identifier type="ISSN">0958-0344</identifier><identifier type="eISSN">1099-1565</identifier><identifier type="DOI">10.1002/(ISSN)1099-1565</identifier><identifier type="PublisherID">PCA</identifier><part><date>2011</date><detail type="volume"><caption>vol.</caption><number>22</number></detail><detail type="issue"><caption>no.</caption><number>3</number></detail><extent unit="pages"><start>236</start><end>246</end><total>11</total></extent></part></relatedItem><identifier type="istex">CD06B94FA0DE49EA1862FA14B8F0E6AB58E2DA8C</identifier><identifier type="DOI">10.1002/pca.1271</identifier><identifier type="ArticleID">PCA1271</identifier><accessCondition type="use and reproduction" contentType="copyright">Copyright © 2010 John Wiley & Sons, Ltd.</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>John Wiley & Sons, Ltd.</recordOrigin></recordInfo></mods></metadata><enrichments><json:item><type>multicat</type><uri>https://api.istex.fr/document/CD06B94FA0DE49EA1862FA14B8F0E6AB58E2DA8C/enrichments/multicat</uri></json:item></enrichments><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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