Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Mar 11:13:836318.
doi: 10.3389/fpls.2022.836318. eCollection 2022.

Leaf Polyphenolic Profile as a Determinant of Croatian Native Grapevine Varieties' Susceptibility to Plasmopara viticola

Affiliations

Leaf Polyphenolic Profile as a Determinant of Croatian Native Grapevine Varieties' Susceptibility to Plasmopara viticola

Petra Štambuk et al. Front Plant Sci. .

Abstract

Since grapevine is highly susceptible to various pathogens, enormous amounts of pesticides are applied each season to achieve profitable production. One of the most destructive grapevine diseases is downy mildew, and their interaction has been in the spotlight for more than a decade. When it comes to a metabolome level, phenolic compounds are relevant to investigate due to their involvement in the plant immune system and known antifungal properties. Croatian grapevine germplasm is highly heterogeneous due to its long history of cultivation in diversified geographical regions. Since it has been found that native varieties react differently to the infection of Plasmopara viticola, the intention of this study is to define if the chemical background of the leaves, i.e., polyphenolic composition, is responsible for these dissimilarities. Therefore, the leaves of 17 genotypes, among which 14 were native and 3 were controls, were analyzed using high-performance liquid chromatography (HPLC) in four terms: before inoculation and 24, 48, and 96 h post inoculation (hpi). During this early phase, significant differences were found neither between the terms nor between the non-inoculated and inoculated samples, except for resveratrol-3-O-glucoside. By applying principal component analysis (PCA) using initial leaf polyphenolic composition, varieties of V. vinifera were clearly separated into three different groups corresponding to their International Organization of Vine and Wine (OIV) classes of susceptibility to P. viticola. Results obtained in this research suggest that the initial constitutive polyphenolic composition of the cultivar leaves has a crucial influence on their susceptibility to P. viticola, and this finding can be used to improve the success of grapevine breeding programs toward downy mildew resistance.

Keywords: HPLC; Vitis vinifera L.; chemical composition; defense mechanism; downy mildew; leaves.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Principal component analysis (PCA) scatter plot depicting (A) three OIV classes of susceptibility (1, 3, and 5—V. vinifera varieties) based on the polyphenolic composition of their leaves before and after artificial P. viticola inoculation at 0, 24, 48, and 96 hpi in the space defined by the first two principal components explaining 60.55% of the variability; (B) the vector diagram of correlation among the content of polyphenolic compounds and the first two principal components. 0, 1, 2, 3, Terms of sampling (0, 24, 48, and 96 hpi); N, I, Non-inoculated and inoculated observations; 1, 3, 5, OIV classes of resistance.
FIGURE 2
FIGURE 2
The ascending content of resveratrol-3-O-glucoside throughout the experiment [before inoculation (T0), 24 hpi (T1), 48 hpi (T2), and 96 hpi (T3)] for non-inoculated (N) and inoculated (I) samples regardless of the International Organization of Vine and Wine (OIV) class. The values for each time point and treatment were obtained by the mean of the values of 17 genotypes. The differences between the means were evaluated by Duncan’s multiple range test at a confidence level of 95% (p < 0.05). Different letters show statistical significance.

Similar articles

Cited by

References

    1. Addinsoft (2020). XLSTAT Statistical and Data Analysis Solution. New York, NY: Addinsoft.
    1. Agati G., Brunetti C., Di Ferdinando M., Ferrini F., Pollastri S., Tattini M. (2013). Functional roles of flavonoids in photoprotection: new evidence, lessons from the past. Plant Physiol. Biochem. 72 35–45. 10.1016/j.plaphy.2013.03.014 - DOI - PubMed
    1. Agati G., Cerovic Z. G., Dalla Marta A., Di Stefano V., Pinelli P., Traversi M. L., et al. (2008). Optically-assessed preformed flavonoids and susceptibility of grapevine to Plasmopara viticola under different light regimes. Funct. Plant Biol. 35 77–84. 10.1071/FP07178 - DOI - PubMed
    1. Ali K., Maltese F., Figueiredo A., Rex M., Fortes A. M., Zyprian E., et al. (2012). Alterations in grapevine leaf metabolism upon inoculation with Plasmopara viticola in different time-points. Plant Sci. 191 100–107. 10.1016/j.plantsci.2012.04.014 - DOI - PubMed
    1. Anđelković M., Radovanović B., Anđelković A. M., Radovanović V. (2015). Phenolic compounds and bioactivity of healthy and infected grapevine leaf extracts from red varieties merlot and vranac (Vitis vinifera L.). Plant Foods Hum. Nutr. 70 317–323. 10.1007/s11130-015-0496-3 - DOI - PubMed

LinkOut - more resources