A Comprehensive Approach to Assess Arabidopsis Survival Phenotype in Water-Limited Condition Using a Non-invasive High-Throughput Phenomics Platform
Identifieur interne : 000004 ( Pmc/Curation ); précédent : 000003; suivant : 000005A Comprehensive Approach to Assess Arabidopsis Survival Phenotype in Water-Limited Condition Using a Non-invasive High-Throughput Phenomics Platform
Auteurs : Emilio Vello ; Akiko Tomita ; Amadou Oury Diallo ; Thomas E. BureauSource :
- Frontiers in Plant Science [ 1664-462X ] ; 2015.
Abstract
With the rapid rise in global population and the challenges caused by climate changes, the maximization of plant productivity and the development of sustainable agriculture strategies are vital for food security. One of the resources more affected in this new environment will be the limitation of water. In this study, we describe the use of non-invasive technologies exploiting sensors for visible, fluorescent, and near-infrared lights to accurately screen survival phenotypes in
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DOI: 10.3389/fpls.2015.01101
PubMed: 26697051
PubMed Central: 4678186
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A Comprehensive Approach to Assess <italic>Arabidopsis</italic> Survival Phenotype in Water-Limited Condition Using a Non-invasive High-Throughput Phenomics Platform</title><author><name sortKey="Vello, Emilio" sort="Vello, Emilio" uniqKey="Vello E" first="Emilio" last="Vello">Emilio Vello</name></author><author><name sortKey="Tomita, Akiko" sort="Tomita, Akiko" uniqKey="Tomita A" first="Akiko" last="Tomita">Akiko Tomita</name></author><author><name sortKey="Diallo, Amadou Oury" sort="Diallo, Amadou Oury" uniqKey="Diallo A" first="Amadou Oury" last="Diallo">Amadou Oury Diallo</name></author><author><name sortKey="Bureau, Thomas E" sort="Bureau, Thomas E" uniqKey="Bureau T" first="Thomas E." last="Bureau">Thomas E. Bureau</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26697051</idno><idno type="pmc">4678186</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4678186</idno><idno type="RBID">PMC:4678186</idno><idno type="doi">10.3389/fpls.2015.01101</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">000004</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000004</idno><idno type="wicri:Area/Pmc/Curation">000004</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000004</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">A Comprehensive Approach to Assess <italic>Arabidopsis</italic> Survival Phenotype in Water-Limited Condition Using a Non-invasive High-Throughput Phenomics Platform</title><author><name sortKey="Vello, Emilio" sort="Vello, Emilio" uniqKey="Vello E" first="Emilio" last="Vello">Emilio Vello</name></author><author><name sortKey="Tomita, Akiko" sort="Tomita, Akiko" uniqKey="Tomita A" first="Akiko" last="Tomita">Akiko Tomita</name></author><author><name sortKey="Diallo, Amadou Oury" sort="Diallo, Amadou Oury" uniqKey="Diallo A" first="Amadou Oury" last="Diallo">Amadou Oury Diallo</name></author><author><name sortKey="Bureau, Thomas E" sort="Bureau, Thomas E" uniqKey="Bureau T" first="Thomas E." last="Bureau">Thomas E. Bureau</name></author></analytic><series><title level="j">Frontiers in Plant Science</title><idno type="eISSN">1664-462X</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>With the rapid rise in global population and the challenges caused by climate changes, the maximization of plant productivity and the development of sustainable agriculture strategies are vital for food security. One of the resources more affected in this new environment will be the limitation of water. In this study, we describe the use of non-invasive technologies exploiting sensors for visible, fluorescent, and near-infrared lights to accurately screen survival phenotypes in <italic>Arabidopsis thaliana</italic> exposed to water-limited conditions. We implemented two drought protocols and a robust analysis methodology that enabled us to clearly assess the wilting or dryness status of the plants at different time points using a phenomics platform. In conclusion, our approach has shown to be very accurate and suitable for experiments where hundred of samples have to be screened making a manual evaluation unthinkable. This approach can be used not only in functional genomics studies but also in agricultural applications.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Berger, B" uniqKey="Berger B">B. Berger</name></author><author><name sortKey="De Regt, B" uniqKey="De Regt B">B. de Regt</name></author><author><name sortKey="Tester, M" uniqKey="Tester M">M. Tester</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Berger, B" uniqKey="Berger B">B. Berger</name></author><author><name sortKey="Parent, B" uniqKey="Parent B">B. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Front Plant Sci</journal-id><journal-id journal-id-type="iso-abbrev">Front Plant Sci</journal-id><journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id><journal-title-group><journal-title>Frontiers in Plant Science</journal-title></journal-title-group><issn pub-type="epub">1664-462X</issn><publisher><publisher-name>Frontiers Media S.A.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">26697051</article-id><article-id pub-id-type="pmc">4678186</article-id><article-id pub-id-type="doi">10.3389/fpls.2015.01101</article-id><article-categories><subj-group subj-group-type="heading"><subject>Plant Science</subject><subj-group><subject>Methods</subject></subj-group></subj-group></article-categories><title-group><article-title>A Comprehensive Approach to Assess <italic>Arabidopsis</italic> Survival Phenotype in Water-Limited Condition Using a Non-invasive High-Throughput Phenomics Platform</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Vello</surname><given-names>Emilio</given-names></name><xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref><uri xlink:type="simple" xlink:href="http://loop.frontiersin.org/people/192440/overview"></uri></contrib><contrib contrib-type="author"><name><surname>Tomita</surname><given-names>Akiko</given-names></name></contrib><contrib contrib-type="author"><name><surname>Diallo</surname><given-names>Amadou Oury</given-names></name><uri xlink:type="simple" xlink:href="http://loop.frontiersin.org/people/275652/overview"></uri></contrib><contrib contrib-type="author"><name><surname>Bureau</surname><given-names>Thomas E.</given-names></name><xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref><uri xlink:type="simple" xlink:href="http://loop.frontiersin.org/people/127358/overview"></uri></contrib></contrib-group><aff id="aff1"><institution>Department of Biology, McGill University, Montreal</institution><country>QC, Canada</country></aff><author-notes><fn fn-type="edited-by"><p>Edited by: <italic>Jonathan A. Lafond, Université Laval, Canada</italic></p></fn><fn fn-type="edited-by"><p>Reviewed by: <italic>Bettina Berger, University of Adelaide, Australia; Christophe Salon, Institut National de la Recherche Agronomique, France</italic></p></fn><corresp id="fn001">*Correspondence: <italic>Emilio Vello, <email xlink:type="simple">emilio.vello@mcgill.ca</email>; Thomas E. Bureau, <email xlink:type="simple">thomas.bureau@mcgill.ca</email></italic></corresp><fn fn-type="other" id="fn002"><p>This article was submitted to Plant Biophysics and Modeling, a section of the journal Frontiers in Plant Science</p></fn></author-notes><pub-date pub-type="epub"><day>15</day><month>12</month><year>2015</year></pub-date><pub-date pub-type="collection"><year>2015</year></pub-date><volume>6</volume><elocation-id>1101</elocation-id><history><date date-type="received"><day>12</day><month>9</month><year>2015</year></date><date date-type="accepted"><day>22</day><month>11</month><year>2015</year></date></history><permissions><copyright-statement>Copyright © 2015 Vello, Tomita, Diallo and Bureau.</copyright-statement><copyright-year>2015</copyright-year><copyright-holder>Vello, Tomita, Diallo and Bureau</copyright-holder><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p></license></permissions><abstract><p>With the rapid rise in global population and the challenges caused by climate changes, the maximization of plant productivity and the development of sustainable agriculture strategies are vital for food security. One of the resources more affected in this new environment will be the limitation of water. In this study, we describe the use of non-invasive technologies exploiting sensors for visible, fluorescent, and near-infrared lights to accurately screen survival phenotypes in <italic>Arabidopsis thaliana</italic> exposed to water-limited conditions. We implemented two drought protocols and a robust analysis methodology that enabled us to clearly assess the wilting or dryness status of the plants at different time points using a phenomics platform. In conclusion, our approach has shown to be very accurate and suitable for experiments where hundred of samples have to be screened making a manual evaluation unthinkable. This approach can be used not only in functional genomics studies but also in agricultural applications.</p></abstract><kwd-group><kwd>drought</kwd><kwd>water limited</kwd><kwd>abiotic stress</kwd><kwd>phenotype</kwd><kwd>phenomics</kwd><kwd>near infrared</kwd><kwd>high throughput</kwd><kwd>images</kwd></kwd-group><funding-group><award-group><funding-source id="cn001">Genome Quebec</funding-source></award-group><award-group><funding-source id="cn002">Genome Canada<named-content content-type="fundref-id">10.13039/100008762</named-content></funding-source></award-group><award-group><funding-source id="cn003">Canada Foundation for Innovation<named-content content-type="fundref-id">10.13039/501100000196</named-content></funding-source></award-group><award-group><funding-source id="cn004">Natural Sciences and Engineering Research Council of Canada<named-content content-type="fundref-id">10.13039/501100000038</named-content></funding-source></award-group></funding-group><counts><fig-count count="5"></fig-count><table-count count="4"></table-count><equation-count count="0"></equation-count><ref-count count="28"></ref-count><page-count count="10"></page-count><word-count count="0"></word-count></counts></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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