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hal.structure.identifierThe New Zealand Institute for Plant and Food Research Limited (PFR)
dc.contributor.authorFAVRE, Laurie
hal.structure.identifierThe New Zealand Institute for Plant and Food Research Limited (PFR)
dc.contributor.authorHUNTER, Donald
hal.structure.identifierThe New Zealand Institute for Plant and Food Research Limited (PFR)
dc.contributor.authorO’DONOGHUE, Erin
hal.structure.identifierThe New Zealand Institute for Plant and Food Research Limited (PFR)
dc.contributor.authorERRIDGE, Zoe
hal.structure.identifierThe New Zealand Institute for Plant and Food Research Limited (PFR)
dc.contributor.authorNAPIER, Nathanael
hal.structure.identifierThe New Zealand Institute for Plant and Food Research Limited (PFR)
dc.contributor.authorSOMERFIELD, Sheryl
hal.structure.identifierThe New Zealand Institute for Plant and Food Research Limited (PFR)
dc.contributor.authorHUNT, Martin
hal.structure.identifierThe New Zealand Institute for Plant and Food Research Limited (PFR)
dc.contributor.authorMCGHIE, Tony
hal.structure.identifierRuakura Research Centre
dc.contributor.authorCOONEY, Janine
hal.structure.identifierThe New Zealand Institute for Plant and Food Research Limited (PFR)
dc.contributor.authorSAEI, Ali
hal.structure.identifierThe New Zealand Institute for Plant and Food Research Limited (PFR)
dc.contributor.authorCHEN, Ronan K.Y.
hal.structure.identifierThe New Zealand Institute for Plant and Food Research Limited (PFR)
dc.contributor.authorMCKENZIE, Marian
hal.structure.identifierMount Albert Research Centre
dc.contributor.authorBREWSTER, Diane
hal.structure.identifierThe New Zealand Institute for Plant and Food Research Limited (PFR)
dc.contributor.authorMARTIN, Harry
hal.structure.identifierHawke's Bay Research Centre
dc.contributor.authorPUNTER, Matt
hal.structure.identifierHawke's Bay Research Centre
dc.contributor.authorCARR, Bridie
hal.structure.identifierHawke's Bay Research Centre
dc.contributor.authorTATTERSALL, Anna
hal.structure.identifierHawke's Bay Research Centre
dc.contributor.authorJOHNSTON, Jason
hal.structure.identifierBiologie du fruit et pathologie [BFP]
hal.structure.identifierPlateforme Bordeaux Metabolome
dc.contributor.authorGIBON, Yves
hal.structure.identifierMassey University
dc.contributor.authorHEYES, Julian
hal.structure.identifierThe New Zealand Institute for Plant and Food Research Limited, Lincoln, New Zealand
dc.contributor.authorLILL, Ross
hal.structure.identifierThe New Zealand Institute for Plant and Food Research Limited, Lincoln, New Zealand
dc.contributor.authorBRUMMELL, David
dc.date.issued2022-11
dc.identifier.issn0925-5214
dc.description.abstractEnAccurate assessment of apple fruit maturity at harvest is required since fruit harvested too early or too late are susceptible to physiological disorders or excessive softening during subsequent storage. Biological markers of early fruit maturity allow forecasting of optimal harvest time, contributing significant industry value through more accurate management of harvest logistics. This study investigated the changes in cortex of apple (Malus x domestica ‘Royal Gala’) fruit at four harvests: very early (H1), early (H2), commercial (H3) and late (H4), using a combination of transcriptomics, metabolomics, hormone abundances and enzyme activity profiles. Harvest times were discriminated based on several sets of variates, showing that metabolism was very active within this short time period. Good discrimination between H1 and H2 and between H2 and H3 was observed in the declining abundance of a range of photosystem transcripts and the increasing abundance of early ripening markers. Degradation of the photosynthetic apparatus was correlated with ethylene production. Multi-omics analysis using mixOmics identified groups of variates whose abundance declined or increased during the harvest period, and strong correlations between components of different pathways were evident. We identify a suite of biomarkers, including Chl a/b binding protein of LHCII, Xyloglucan glycosyltransferase 5, PG1, ACO1, internal ethylene concentration and starch pattern index, for orchardists to accurately predict harvest time several weeks in advance, thus providing time to mobilise the necessary logistical resources.
dc.language.isoen
dc.subject.enAt-harvest measures
dc.subject.enFruit maturity biomarkers
dc.subject.enHarvest time
dc.subject.enMalus x domestica
dc.subject.enMixOmics
dc.subject.enMulti-omics
dc.subject.en‘Royal Gala’
dc.title.enIntegrated multi-omic analysis of fruit maturity identifies biomarkers with drastic abundance shifts spanning the harvest period in ‘Royal Gala’ apple
dc.typeArticle de revue
dc.identifier.doi10.1016/j.postharvbio.2022.112059
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
bordeaux.journalPostharvest Biology and Technology
bordeaux.page112059
bordeaux.volume193
bordeaux.peerReviewedoui
hal.identifierhal-04181587
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04181587v1
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