Circadian oscillatory transcriptional programs in grapevine ripening fruits View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Pablo Carbonell-Bejerano, Virginia Rodríguez, Carolina Royo, Silvia Hernáiz, Luis Carlos Moro-González, Montserrat Torres-Viñals, José Miguel Martínez-Zapater

ABSTRACT

BACKGROUND: Temperature and solar radiation influence Vitis vinifera L. berry ripening. Both environmental conditions fluctuate cyclically on a daily period basis and the strength of this fluctuation affects grape ripening too. Additionally, a molecular circadian clock regulates daily cyclic expression in a large proportion of the plant transcriptome modulating multiple developmental processes in diverse plant organs and developmental phases. Circadian cycling of fruit transcriptomes has not been characterized in detail despite their putative relevance in the final composition of the fruit. Thus, in this study, gene expression throughout 24 h periods in pre-ripe berries of Tempranillo and Verdejo grapevine cultivars was followed to determine whether different ripening transcriptional programs are activated during certain times of day in different grape tissues and genotypes. RESULTS: Microarray analyses identified oscillatory transcriptional profiles following circadian variations in the photocycle and the thermocycle. A higher number of expression oscillating transcripts were detected in samples carrying exocarp tissue including biotic stress-responsive transcripts activated around dawn. Thermotolerance-like responses and regulation of circadian clock-related genes were observed in all studied samples. Indeed, homologs of core clock genes were identified in the grapevine genome and, among them, VvREVEILLE1 (VvRVE1), showed a consistent circadian expression rhythm in every grape berry tissue analysed. Light signalling components and terpenoid biosynthetic transcripts were specifically induced during the daytime in Verdejo, a cultivar bearing white-skinned and aromatic berries, whereas transcripts involved in phenylpropanoid biosynthesis were more prominently regulated in Tempranillo, a cultivar bearing black-skinned berries. CONCLUSIONS: The transcriptome of ripening fruits varies in response to daily environmental changes, which might partially be under the control of circadian clock components. Certain cultivar and berry tissue features could rely on specific circadian oscillatory expression profiles. These findings may help to a better understanding of the progress of berry ripening in short term time scales. More... »

PAGES

78

References to SciGraph publications

  • 2013-06. The plasticity of the grapevine berry transcriptome in GENOME BIOLOGY
  • 2012-10. Flavonoid biosynthesis-related genes in grape skin are differentially regulated by temperature and light conditions in PLANTA
  • 1996-11. Expression of anthocyanin biosynthesis pathway genes in red and white grapes in PLANT MOLECULAR BIOLOGY
  • 2006-12. An optimized grapevine RNA isolation procedure and statistical determination of reference genes for real-time RT-PCR during berry development in BMC PLANT BIOLOGY
  • 2007-12. Transcriptomic and metabolite analyses of Cabernet Sauvignon grape berry development in BMC GENOMICS
  • 2013-12. Interactions between ethylene and auxin are crucial to the control of grape (Vitis vinifera L.) berry ripening in BMC PLANT BIOLOGY
  • 2002-09. Molecular basis of seasonal time measurement in Arabidopsis in NATURE
  • 2009-04. Ectopic expression of VlmybA1 in grapevine activates a narrow set of genes involved in anthocyanin synthesis and transport in PLANT MOLECULAR BIOLOGY
  • 2009. Hormonal Control of Grape Berry Ripening in GRAPEVINE MOLECULAR PHYSIOLOGY & BIOTECHNOLOGY
  • 2000-05. Targeted destabilization of HY5 during light-regulated development of Arabidopsis in NATURE
  • 2002-10. Myb-related genes of the Kyoho grape (Vitis labruscana) regulate anthocyanin biosynthesis in PLANTA
  • 2002-04. Association of dwarfism and floral induction with a grape ‘green revolution’ mutation in NATURE
  • 2007-02. Wine grape (Vitis vinifera L.) color associates with allelic variation in the domestication gene VvmybA1 in THEORETICAL AND APPLIED GENETICS
  • 2006-11. Molecular genetics of berry colour variation in table grape in MOLECULAR GENETICS AND GENOMICS
  • 2011-02-03. Timing of plant immune responses by a central circadian regulator in NATURE
  • 2011-12. Transcriptional analysis of late ripening stages of grapevine berry in BMC PLANT BIOLOGY
  • 2007-12. Transcriptional control of anthocyanin biosynthetic genes in extreme phenotypes for berry pigmentation of naturally occurring grapevines in BMC PLANT BIOLOGY
  • 2012-12. Comparative analysis of grapevine whole-genome gene predictions, functional annotation, categorization and integration of the predicted gene sequences in BMC RESEARCH NOTES
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1471-2229-14-78

    DOI

    http://dx.doi.org/10.1186/1471-2229-14-78

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1009155415

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/24666982


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