Frontiers in Plant Science (Sep 2015)

Metabolite Profiling and Transcript Analysis Reveal Specificities in the Response of a Berry Derived Cell Culture to Abiotic Stresses

  • Biruk eAyenew,
  • Biruk eAyenew,
  • Asfaw eDegu,
  • Asfaw eDegu,
  • Neta eManela,
  • Avichai ePerl,
  • Michal eOren-Shamir,
  • Aaron eFait

DOI
https://doi.org/10.3389/fpls.2015.00728
Journal volume & issue
Vol. 6

Abstract

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As climate changes, there is a need to understand the expected effects on viticulture. In nature, stresses exist in a combined manner, hampering the elucidation of the effect of individual cues on grape berry metabolism. Cell suspension culture originated from pea-size Gamy Red grape berry was used to harness metabolic response to high light (2500 µmol m-2s-1), high temperature (40 0C) and their combination in comparison to 25 0C and 100 µmol m-2s-1 under controlled condition. When LC-MS and GC-MS based metabolite profiling was implemented and integrated with targeted RT-qPCR transcript analysis specific responses were observed to the different cues. High light enhanced polyphenol metabolism while high temperature and its combination with high light induced amino acid and organic acid metabolism with additional effect on polyphenols. The trend of increment in TCA cycle genes like ATCs, ACo1 and IDH in the combined treatment might support the observed increment in organic acids, GABA shunt, and their derivatives. The apparent phenylalanine reduction with polyphenol increment under high light suggests enhanced fueling of the precursor towards the downstream phenylpropanoid pathway. In the polyphenol metabolism, a differential pattern of expression of flavonoid 3’,5’ hydroxylase and flavonoid 3’ hydroxylase was observed under high light and combined cues which were accompanied by characteristic metabolite profiles. High temperature decreased glycosylated cyanidin and peonidin forms while the combined cues increased acetylated and coumarylated peonidin forms. Transcription factors regulating anthocyanin metabolism and their methylation, MYB, OMT, UFGT and DFR, were expressed differentially among the treatments, overall in agreement with the metabolite profiles. Taken together these data provide insights into the coordination of central and secondary metabolism in relation to multiple abiotic stresses.

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