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Record W7046950323

Effect of water deficit on fruit metabolism in white and red grape varieties

2016· dissertation· en· W7046950323 on OpenAlexfundno aff

Bibliographic record

VenueInstitutional Research Information System (University of Udine) · 2016
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersFondazione Edmund MachNatural Sciences and Engineering Research Council of CanadaNational Centre of Excellence in Desalination
KeywordsHeat stressLimitingContext (archaeology)Water stress
DOInot available

Abstract

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Plants are sessile organisms and often they have to cope with environmental stresses (abiotic factors) such as drought, cold, heat, extreme light, excessive soil salinity, or several combinations of them. The genotype x environment (GxE) interaction is the source of the main variability in the responses to these constrains. Among the abiotic factors that can influence plant physiology, drought is the most relevant because it can influence plant growth and yield, and affects fruits composition. Secondary metabolism contributes to the adaptation of a plant to its environment. In fruit crops such as grapevine (Vitis vinifera L.), secondary metabolism also largely determines fruit quality. Grapevine is considered a drought-tolerant plant and traditionally is not irrigated, especially in Europe. Mediterranean climate, with warm and dry summers and cold and wet winters, is considered optimal for viticulture. Climate change is predicted to exacerbate drought events in several viticultural areas, potentially affecting the accumulation of secondary metabolites in the grapes, thus affecting wine quality.
\nWe adopted a multidisciplinary approach that considered a two-years field trial, high-throughput transcripts profiling (RNA-sequencing) and large-scale targeted metabolite analyses to investigate the effect of drought events on the berry metabolism during fruit development and ripening in white and red grape varieties. An open field experiment was therefore conducted on Tocai friulano (white grape variety) and Merlot (red grape variety) vines in 2011 and 2012, in a North Italian viticultural area characterized by transient drought events during the summer. Two irrigation treatments were applied to the vines: (i) control vines were weekly irrigated, in order to keep their stem water potential (a sensitive indicator of grapevine water status) between -0.4 and -0.6 MPa; (ii) deficit irrigated vines were not irrigated from fruit set to harvest except in case of acute water deficit. Merlot vines were sheltered with an open-sided transparent cover at the beginning of the seasons, while Tocai friulano vines were cultivated without any cover and hence subjected to the natural precipitations. In Merlot, deficit irrigated vines experienced water deficit from 40-50 days after anthesis in both seasons. In Tocai friulano, deficit irrigated vines manifested a late deficit (from 80-90 days after anthesis) in 2011, and a prolonged water deficit from early stages of fruit development (from 30-40 days after anthesis) to harvest in 2012. For both varieties, berries were sampled for transcript and metabolite analyses during berry development and ripening. Furthermore, at harvest, grapes were microvinificated and wines composition was evaluated focusing on the secondary metabolites that largely contribute to the final color, taste, and aromatic features.
\nA large effect of water deficit on fruit secondary metabolism of the white grape variety Tocai friulano was observed in the season when the deficit occurred from early stages of berry development to harvest. In this particularly season, increased concentrations of phenylpropanoids, monoterpenes, and tocopherols were observed, while carotenoid and flavonoid accumulations were differentially modulated by water deficit accordingly to the berry developmental stage. In parallel, RNA sequencing analysis revealed that many key genes of the phenylpropanoid, flavonoid, and terpenoid pathways were modulated by water deficit indicating a transcriptional regulation of these specific pathways in the berry under drought. The higher co-regulation of several terpenoid transcripts with monoterpene accumulation under water deficit and the enrichment of drought-responsive elements in the promoter region of many terpenoid genes highlight that drought can enhance the production of these flavour components in grapes with potential effects on wine composition and sensory features. The wines produced from grapes subjected to water deficit revealed a more pronounced accumulation of monoterpenes and C13-norisoprenoids, and especially glycosidically-bound compounds. However, differences in the metabolic response between seasons suggest that the endurance of water deficit and the timing of application strongly impact this response.
\nIn Merlot berries, the drought stress response encompassed both ABA-dependent and ABA-independent signal transduction pathways with several VviAREB/ABFs, VvibZIP, and VviAP2/ERF-DREB transcription factors that were up-regulated by water deficit at one or more developmental stages. These transcription factors can play critical roles in the drought response by modulating a large suite of genes. Analyses of the central and specialized berry metabolism was conducted both at the transcript and metabolite levels by investigating several metabolic pathways (glycolysis and sugar accumulation, tricarboxylic acid cycle and amino acid biosynthesis, phenylpropanoid, flavonoid, terpenes, carotenoids, and fatty acid degradation pathways). The study revealed that water deficit enhanced the accumulation of several osmoprotectants (proline, sucrose, and raffinose) and of secondary metabolites such as anthocyanins and C5, C7, C8, and C9 volatile organic compounds. Furthermore, a weighted gene co-expression network analysis clustered in a module several genes involved in the branched chain amino acids biosynthesis, phenylpropanoid and flavonoid pathways, and sugar derivative metabolism together with the transcription factors mentioned above involved in the drought-stress signal, indicating a putative role of these transcription factors on the regulation of the response of the fruit metabolism to drought in Merlot berries. The wines produced from grapes subjected to water deficit revealed a higher concentration of anthocyanins that determined higher color intensity and a bluer coloration of the wines.
\nA comparison between the two genotypes can be done only for the 2012 season, when levels and endurances of water deficit were similar between Tocai friulano and Merlot deficit irrigated vines. The data indicate that water deficit modulated the accumulation of several secondary compounds; however, the modulation of the secondary metabolism varied between cultivars indicating a genotype x environment interaction. In the Tocai friulano berry, water deficit specifically stimulated the synthesis of phenolic acids, such as gallic acid, ellagic acid, and caftaric acid, tocopherols, and monoterpenes, such as linalool, α-terpineol, nerol, and hotrienol. In Merlot, the response included an overproduction of anthocyanins, such as the tri-substituted delphinidin, petunidin, and malvidin both in the glycosylated and acylated form, and C5, C7, C8 and C9 volatile organic, such as 1-penten-3-ol, (E)-2-heptenal, (E)-2-octenal, 1-octen-3-ol, and nonanol. A common response between the two varieties included a higher accumulation of gallic acid, zeaxanthin, (E)-2-heptenal, (E)-2-octenal, 1-octen-3-ol, and nonanol in the berry. Furthermore, these results indicate that drought events can affect the composition and sensory features of white and red wines by increasing the accumulation of benzoic and cinnamic acids, pigments in the red grape variety and monoterpenes in the white grape variety

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.263
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2016
Admission routes1
Has abstractyes

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