The epigenetic memory of temperature during embryogenesis modifies the expression of bud burst-related genes in Norway spruce epitypes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-06-02

AUTHORS

Elena Carneros, Igor Yakovlev, Marcos Viejo, Jorunn E. Olsen, Carl Gunnar Fossdal

ABSTRACT

MAIN CONCLUSION: Epigenetic memory affects the timing of bud burst phenology and the expression of bud burst-related genes in genetically identical Norway spruce epitypes in a manner usually associated with ecotypes. In Norway spruce, a temperature-dependent epigenetic memory established during embryogenesis affects the timing of bud burst and bud set in a reproducible and predictable manner. We hypothesize that the clinal variation in these phenological traits, which is associated with adaptation to growth under frost-free conditions, has an epigenetic component. In Norway spruce, dehydrins (DHNs) have been associated with extreme frost tolerance. DHN transcript levels decrease gradually prior to flushing, a time when trees are highly sensitive to frost. Furthermore, EARLY BUD BREAK 1 genes (EBB1) and the FT-TFL1-LIKE 2-gene (PaFTL2) were previously suggested to be implied in control of bud phenology. Here we report an analysis of transcript levels of 12 DHNs, 3 EBB1 genes and FTL2 in epitypes of the same genotype generated at different epitype-inducing temperatures, before and during spring bud burst. Earlier flushing of epitypes originating from embryos developed at 18 °C as compared to 28 °C, was associated with differential expression of these genes between epitypes and between buds and last year's needles. The majority of these genes showed significantly different expressions between epitypes in at least one time point. The general trend in DHN expression pattern in buds showed the expected reduction in transcript levels when approaching flushing, whereas, surprisingly, transcript levels peaked later in needles, mainly at the moment of bud burst. Collectively, our results demonstrate that the epigenetic memory of temperature during embryogenesis affects bud burst phenology and expression of the bud burst-related DHN, EBB1 and FTL2 genes in genetically identical Norway spruce epitypes. More... »

PAGES

553-566

References to SciGraph publications

  • 1999-08-26. Primer3 on the WWW for General Users and for Biologist Programmers in BIOINFORMATICS METHODS AND PROTOCOLS
  • 2013-05-22. The Norway spruce genome sequence and conifer genome evolution in NATURE
  • 2014-01-11. Temperature-dependent differential transcriptomes during formation of an epigenetic memory in Norway spruce embryogenesis in TREE GENETICS & GENOMES
  • 1996-05. Influence of the female flowering environment on autumn frost-hardiness of Picea abies progenies in THEORETICAL AND APPLIED GENETICS
  • 2013-04-10. Transcriptional profiling of bud dormancy induction and release in oak by next-generation sequencing in BMC GENOMICS
  • 2006-02-01. Analysis of gene expression during bud burst initiation in Norway spruce via ESTs from subtracted cDNA libraries in TREE GENETICS & GENOMES
  • 2014-03-12. Changes in metabolite profiles in Norway spruce shoot tips during short-day induced winter bud development and long-day induced bud flush in METABOLOMICS
  • 2012-08-26. Novel conserved segments are associated with differential expression patterns for Pinaceae dehydrins in PLANTA
  • 2010-03-08. Light and temperature sensing and signaling in induction of bud dormancy in woody plants in PLANT MOLECULAR BIOLOGY
  • 2016-02-19. Transcriptional profiling of epigenetic regulators in somatic embryos during temperature induced formation of an epigenetic memory in Norway spruce in PLANTA
  • 1994-05. Seasonal changes in the utilization and turnover of assimilation products in 8-year-old Scots pine (Pinus sylvestris L.) trees in TREES
  • 2013-05-30. Epigenetic mechanisms of plant stress responses and adaptation in PLANT CELL REPORTS
  • 2009-09-16. Rapid change in adaptive performance from one generation to the next in Picea abies—Central European trees in a Nordic environment in TREE GENETICS & GENOMES
  • 2003. Physiological Plant Ecology in NONE
  • 1999-10. Dehydrins in cold-acclimated apices of birch (Betula pubescens Ehrh.): production, localization and potential role in rescuing enzyme function during dehydration in PLANTA
  • 2008-05-21. Dehydrins expression related to timing of bud burst in Norway spruce in PLANTA
  • 2012-09-02. Drought affects tracheid structure, dehydrin expression, and above- and belowground growth in 5-year-old Norway spruce in PLANT AND SOIL
  • Identifiers

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    http://scigraph.springernature.com/pub.10.1007/s00425-017-2713-9

    DOI

    http://dx.doi.org/10.1007/s00425-017-2713-9

    DIMENSIONS

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28577177


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    31 schema:description MAIN CONCLUSION: Epigenetic memory affects the timing of bud burst phenology and the expression of bud burst-related genes in genetically identical Norway spruce epitypes in a manner usually associated with ecotypes. In Norway spruce, a temperature-dependent epigenetic memory established during embryogenesis affects the timing of bud burst and bud set in a reproducible and predictable manner. We hypothesize that the clinal variation in these phenological traits, which is associated with adaptation to growth under frost-free conditions, has an epigenetic component. In Norway spruce, dehydrins (DHNs) have been associated with extreme frost tolerance. DHN transcript levels decrease gradually prior to flushing, a time when trees are highly sensitive to frost. Furthermore, EARLY BUD BREAK 1 genes (EBB1) and the FT-TFL1-LIKE 2-gene (PaFTL2) were previously suggested to be implied in control of bud phenology. Here we report an analysis of transcript levels of 12 DHNs, 3 EBB1 genes and FTL2 in epitypes of the same genotype generated at different epitype-inducing temperatures, before and during spring bud burst. Earlier flushing of epitypes originating from embryos developed at 18 °C as compared to 28 °C, was associated with differential expression of these genes between epitypes and between buds and last year's needles. The majority of these genes showed significantly different expressions between epitypes in at least one time point. The general trend in DHN expression pattern in buds showed the expected reduction in transcript levels when approaching flushing, whereas, surprisingly, transcript levels peaked later in needles, mainly at the moment of bud burst. Collectively, our results demonstrate that the epigenetic memory of temperature during embryogenesis affects bud burst phenology and expression of the bud burst-related DHN, EBB1 and FTL2 genes in genetically identical Norway spruce epitypes.
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    39 BUD BREAK 1 genes
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    41 DHN expression pattern
    42 DHN transcript levels
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    46 FT-TFL1
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