{ "labelLang" : "hun", "responseDate" : "2024-03-29 14:53", "content" : { "otype" : "JournalArticle", "mtid" : 30878171, "status" : "VALIDATED", "published" : true, "comment" : "School of BioSciences, The University of Melbourne, Melbourne, VIC 3010, Australia \n CSIRO Agriculture & Food, GPO Box 1700, Canberra, ACT 2601, Australia \n Department of Primary Industries and Regional Development, 3 Baron Hay Court, South Perth, WA 6151, Australia \n Metabolomics Australia, School of BioSciences, The University of Melbourne, Melbourne, VIC 3010, Australia \n Melbourne Integrative Genomics, Schools of Mathematics and Statistics and of BioSciences, The University of Melbourne, Melbourne, VIC 3010, Australia \n Export Date: 27 April 2020 \n Correspondence Address: Dolferus, R.; CSIRO Agriculture & Food, GPO Box 1700, Australia; email: rudy.dolferus@csiro.au \n Chemicals/CAS: amino acid, 65072-01-7; benzoic acid, 532-32-1, 582-25-2, 65-85-0, 766-76-7; chloroform, 67-66-3; cinnamic acid, 4151-45-5, 538-42-1, 621-82-9; fructose, 30237-26-4, 57-48-7, 7660-25-5, 77907-44-9; glucose, 50-99-7, 84778-64-3; indoleacetic acid, 32536-43-9, 87-51-4; indolebutyric acid, 133-32-4; jasmonic acid, 6894-38-8; lysophosphatidylcholine, 93794-93-5; phosphatidylethanolamine, 1405-71-6; putrescine, 110-60-1, 333-93-7; salicylic acid, 63-36-5, 69-72-7; shikimic acid, 138-59-0 \n Tradenames: Agilent 7010, Agilent, United States; Agilent 7890A, Agilent, United States \n Manufacturers: Sigma Aldrich, AustraliaAgilent, United States \n Funding details: Grains Research and Development Corporation, GRDC, CSP00143, CSP00202 \n Funding details: Grains Research and Development Corporation, GRDC \n Funding text 1: This research was supported by Grants of the Australian Grains Research and Development Corporation (GRDC projects CSP00143 and CSP00202).\nSchool of BioSciences, The University of Melbourne, Melbourne, VIC 3010, Australia \n CSIRO Agriculture & Food, GPO Box 1700, Canberra, ACT 2601, Australia \n Department of Primary Industries and Regional Development, 3 Baron Hay Court, South Perth, WA 6151, Australia \n Metabolomics Australia, School of BioSciences, The University of Melbourne, Melbourne, VIC 3010, Australia \n Melbourne Integrative Genomics, Schools of Mathematics and Statistics and of BioSciences, The University of Melbourne, Melbourne, VIC 3010, Australia \n Cited By :3 \n Export Date: 18 January 2021 \n Correspondence Address: Dolferus, R.; CSIRO Agriculture & Food, GPO Box 1700, Australia; email: rudy.dolferus@csiro.au \n Chemicals/CAS: amino acid, 65072-01-7; benzoic acid, 532-32-1, 582-25-2, 65-85-0, 766-76-7; chloroform, 67-66-3; cinnamic acid, 4151-45-5, 538-42-1, 621-82-9; fructose, 30237-26-4, 57-48-7, 7660-25-5, 77907-44-9; glucose, 50-99-7, 84778-64-3; indoleacetic acid, 32536-43-9, 87-51-4; indolebutyric acid, 133-32-4; jasmonic acid, 6894-38-8; lysophosphatidylcholine, 93794-93-5; phosphatidylethanolamine, 1405-71-6; putrescine, 110-60-1, 333-93-7; salicylic acid, 63-36-5, 69-72-7; shikimic acid, 138-59-0 \n Tradenames: Agilent 7010, Agilent, United States; Agilent 7890A, Agilent, United States \n Manufacturers: Sigma Aldrich, AustraliaAgilent, United States \n Funding details: Grains Research and Development Corporation, GRDC, CSP00143, CSP00202 \n Funding details: Grains Research and Development Corporation, GRDC \n Funding text 1: This research was supported by Grants of the Australian Grains Research and Development Corporation (GRDC projects CSP00143 and CSP00202).\nSchool of BioSciences, The University of Melbourne, Melbourne, VIC 3010, Australia \n CSIRO Agriculture & Food, GPO Box 1700, Canberra, ACT 2601, Australia \n Department of Primary Industries and Regional Development, 3 Baron Hay Court, South Perth, WA 6151, Australia \n Metabolomics Australia, School of BioSciences, The University of Melbourne, Melbourne, VIC 3010, Australia \n Melbourne Integrative Genomics, Schools of Mathematics and Statistics and of BioSciences, The University of Melbourne, Melbourne, VIC 3010, Australia \n Cited By :4 \n Export Date: 13 April 2021 \n Correspondence Address: Dolferus, R.; CSIRO Agriculture & Food, GPO Box 1700, Australia; email: rudy.dolferus@csiro.au \n Chemicals/CAS: amino acid, 65072-01-7; benzoic acid, 532-32-1, 582-25-2, 65-85-0, 766-76-7; chloroform, 67-66-3; cinnamic acid, 4151-45-5, 538-42-1, 621-82-9; fructose, 30237-26-4, 57-48-7, 7660-25-5, 77907-44-9; glucose, 50-99-7, 84778-64-3; indoleacetic acid, 32536-43-9, 87-51-4; indolebutyric acid, 133-32-4; jasmonic acid, 6894-38-8; lysophosphatidylcholine, 93794-93-5; phosphatidylethanolamine, 1405-71-6; putrescine, 110-60-1, 333-93-7; salicylic acid, 63-36-5, 69-72-7; shikimic acid, 138-59-0 \n Tradenames: Agilent 7010, Agilent, United States; Agilent 7890A, Agilent, United States \n Manufacturers: Sigma Aldrich, AustraliaAgilent, United States \n Funding details: Grains Research and Development Corporation, GRDC, CSP00143, CSP00202 \n Funding details: University of Melbourne \n Funding text 1: This research was supported by Grants of the Australian Grains Research and Development Corporation (GRDC projects CSP00143 and CSP00202). \n Funding text 2: Cold treatments were carried out using growth chambers from the High- Resolution Plant Phenomics Centre in Canberra (HRPPC; https://www.plantphenomics.org.au/tag/high-resolution-plant-phenomics-centre/). The authors thank Mrs Cheka Kehelpannala from the School of Biosciences, Mrs Nirupama Jayasinghe, Mrs Himasha Mendis, Ms. Veronica Lui and Dr Siria Natera from Metabolomics Australia for the metabolite, lipid and phytohormone analyses. 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Objectives This study aimed to use metabolomics and lipidomics to explore genetic variation in acclimation potential to chilling and to identify metabolite markers for chilling tolerance in wheat. Methods We established a controlled environment screening assay that is able to reproduce field rankings of wheat germplasm for chilling and frost tolerance. This assay, together with targeted metabolomics and lipidomics approaches, were used to compare metabolite and lipid levels in flag leaves of two wheat varieties with contrasting chilling tolerance. Results The sensitive variety Wyalkatchem showed a strong reduction in amino acids after the first cold night, followed by accumulation of osmolytes such as fructose, glucose, putrescine and shikimate over a 4-day period. Accumulation of osmolytes is indicative of acclimation to water stress in Wyalkatchem. This response was not observed for tolerant variety Young. The two varieties also displayed significant differences in lipid accumulation. Variation in two lipid clusters, resulted in a higher unsaturated to saturated lipid ratio in Young after 4 days cold treatment and the lipids PC(34:0), PC(34:1), PC(35:1), PC(38:3), and PI(36:4) were the main contributors to the unsaturated to saturated ratio change. This indicates that Young may have superior ability to maintain membrane fluidity following cold exposure, thereby avoiding membrane damage and water stress observed for Wyalkatchem. Conclusion Our study suggests that metabolomics and lipidomics markers could be used as an alternative phenotyping method to discriminate wheat varieties with differences in cold acclimation.", "subjects" : [ { "otype" : "Classification", "mtid" : 12215, "link" : "/api/classification/12215", "label" : "Klinikai orvostan", "published" : true, "snippet" : true } ], "keywords" : [ { "otype" : "Keyword", "mtid" : 3828, "link" : "/api/keyword/3828", "label" : "WHEAT", "published" : true, "oldId" : 3828, "snippet" : true }, { "otype" : "Keyword", "mtid" : 4258, "link" : "/api/keyword/4258", "label" : "cold tolerance", "published" : true, "oldId" : 4258, "snippet" : true }, { "otype" : "Keyword", "mtid" : 4480, "link" : "/api/keyword/4480", "label" : "Flowering", "published" : true, "oldId" : 4480, "snippet" : true }, { "otype" : "Keyword", "mtid" : 14353, "link" : "/api/keyword/14353", "label" : "lipid", "published" : true, "oldId" : 14353, "snippet" : true }, { "otype" : "Keyword", "mtid" : 1022431, "link" : "/api/keyword/1022431", "label" : "METABOLITE", "published" : true, "oldId" : 1022431, "snippet" : true }, { "otype" : "Keyword", "mtid" : 1062983, "link" : "/api/keyword/1062983", "label" : "phenotyping", "published" : true, "oldId" : 1062983, "snippet" : true } ], "digital" : null, "printed" : null, "sourceYear" : 2019, "foreignEdition" : true, "foreignLanguage" : true, "fullPublication" : true, "conferencePublication" : false, "nationalOrigin" : null, "missingAuthor" : false, "oaType" : "NONE", "oaCheckDate" : "2021-10-02", "oaFree" : false, "citationCount" : 0, "citationCountUnpublished" : 0, "citationCountWoOther" : 0, "independentCitCountWoOther" : 0, "doiCitationCount" : 0, "wosCitationCount" : 0, "scopusCitationCount" : 0, "independentCitationCount" : 0, "unhandledCitationCount" : 0, "citingPubCount" : 0, "independentCitingPubCount" : 0, "unhandledCitingPubCount" : 0, "citedPubCount" : 5, "citedCount" : 5, "ratings" : [ { "otype" : "SjrRating", "mtid" : 10750920, "link" : "/api/sjrrating/10750920", "label" : "sjr:Q2 (2019) Scopus - Biochemistry METABOLOMICS 1573-3882 1573-3890", "listPos" : 176, "rankValue" : 0.49, "type" : "journal", "ratingType" : { "otype" : "RatingType", "mtid" : 10002, "link" : "/api/ratingtype/10002", "label" : "sjr", "code" : "sjr", "published" : true, "snippet" : true }, "subject" : { "otype" : "ClassificationExternal", "mtid" : 1303, "link" : "/api/classificationexternal/1303", "label" : "Scopus - Biochemistry", "published" : true, "oldId" : 1303, "snippet" : true }, "ranking" : "Q2", "calculation" : "DIRECT", "published" : true, "snippet" : true } ], "ratingsForSort" : "Q2", "hasCitationDuplums" : false, "directInstitutesForSort" : "", "ownerAuthorCount" : 13, "ownerInstituteCount" : 73, "directInstituteCount" : 0, "authorCount" : 8, "contributorCount" : 0, "hasQualityFactor" : true, "link" : "/api/publication/30878171", "label" : "Cheong Bo Eng et al. 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