Skip to main content

Potential effects of Grapevine leafroll-associated virus 3 (genus Ampelovirus; family Closteroviridae) or Grapevine red blotch virus (genus Grablovirus; family Geminiviridae) infection on foliar phenolic and amino acid levels



Grapevine (Vitis spp.) viral infections, including those by Grapevine leafroll-associated virus 3 (GLRaV-3) and Grapevine red blotch virus (GRBV), greatly reduce fruit yields and quality. Evidence exists that host chemistry shifts result in reductions in fruit quality. However, changes over the season in foliar chemistry has not been well examined. Therefore, phenolic and amino acid levels were examined in leaves collected in grapevines with different rootstocks that were healthy or were infected with GLRaV-3 or GRBV. This was part of an effort to assess changes that different pathogens cause in grapevine tissues.


Month and year appeared to account for the greatest variability in grapevine foliar phenolic or amino acid levels, followed by differences in rootstock, and then differences in infection status. GLRaV-3 infection significantly lowered levels of total and individual hydroxycinnamic acid derivatives, and GRBV lowered total phenolic levels, total and individual hydroxycinnamic acids. Amino acid levels were increased over controls in vines infected by GLRaV-3, but not with GRBV. Overall, changes within grapevine leaves due to viral infection were likely too small to overcome variability due to sampling time or rootstock cultivar, and therefore such factors should be considered in determining infection effects on plant foliar chemistry.


Two of the most impactful viral pathogens of grapevine are Grapevine leafroll-associated virus 3 (GLRaV-3) (species Grapevine leafroll-associated virus 3; genus Ampelovirus; family Closteroviridae; order Martellivirales) and Grapevine red blotch virus (GRBV) (species Grapevine red blotch virus; genus Grablovirus; family Geminiviridae; order Geplafuvirales) [1,2,3], which can reduce yields and fruit quality necessitating vineyard replacement. Both are currently managed through a combination of vector control (for GLRaV-3), rouging/replanting (for both), and use of certified materials (for both) [4]. However, preventing spread overall remains very challenging and increases in the incidence of these pathogens in vineyards is unavoidable [4].

Despite hypotheses that changes in host physiology due to viral infections would result in observed symptoms, just a few efforts have been made to measure host physiology shifts in afflicted vines [1]. GLRaV-3 was shown to reduce leaf photosynthesis post-veraison [1]. In berries, GLRaV-3 reduced free amino acid levels [5], altered genes involved in phenolic compound and sugar metabolism [6], and possessed lower anthocyanidin content [1, 7, 8]. In leaves, infection resulted in a two- to ten-fold increase in phenolic (flavonoid) production gene expression, and anthocyanidin production occurred resulting in red pigmented leaves [9, 10].

In contrast to GLRaV-3, far less is known about how GRBV effects host chemistry. Most work has focused on GRBV effects on berry quality [11,12,13]. As for foliage, phenolic compounds increased late in the season in infected than healthy vines, generally in symptomatic tissues [14]. Particular amino acids also were observed as increased in the leaves of infected vines compared to those that were healthy [14].

Most of these studies have observed physiology late in the season, in leaves displaying symptoms [9, 14]. This is the same time of season whereby grapevine viral titers are the greatest and easily detectable by PCR [15, 16].

In contrast to many of these previous studies, this study had an objective to examine whether or not shifts in two major metabolic groups, amino acids and phenolics, could occur prior to symptom expression in GLRaV-3 or GRBV infected grapevines. This was done in asymptomatic tissues, with sampling conducted in May, July, and early September for 2 years (2018 and 2019). For each virus, different rootstock cultivars were utilized to observe rootstock effects on observations. Findings should reveal changes in host biochemistry that in occur in the foliage of grapevines afflicted with GLRaV-3 and GRBV prior to infections, with implications on our understanding of host-viral interactions in asymptomatic plants.

Main text


In the middle of May, July, and September of 2018 and 2019, leaves were collected from healthy or previously infected GLRaV-3 or GRBV grapevines planted at two experimental vineyards established in Davis, CA, USA, and were maintained to commercial standards. These vineyards, one to test GLRaV-3 and another to test GRBV, were established as a larger effort by Foundation Plant Services, University of California, Davis, CA, to examine the impact of viral infections on grape berry yields and quality over time. As such, only a limited number of vines were available for this particular pilot experiment to examine host chemistry. Regarding the GLRaV-3 vineyard, ‘Cabernet Franc’ (Vitis vinifera) vines were grafted on either ‘101-14 MGt’ (Vitis riparia x. Vitis rupestris), ‘Freedom’ (Vitis riparia x. Vitis rupestris x. Vitis champinii), or ‘St. George’ (Vitis rupestris) rootstocks, planted in September 2010, and kept healthy or infected by GLRaV-3 since December 2012 (with status verified by PCR in June 2017 and June 2018). Regarding the GRBV vineyard, ‘Cabernet Sauvignon’ (Vitis vinifera) vines were grafted on either ‘101-14 MGt’ or ‘St. George’ rootstock, planted in August 2014, and kept healthy or infected by GRBV since September 2016 (with status verified by PCR in February 2018). All infections were made via grafting. Rootstocks and infections were made in a completely, randomized design.

Each vine had three to five fully expanded and mature leaves, approximately the fifth leaf from the apical end, collected from different randomly-chosen branches of the same vine. Leaves were placed into labeled 50 mL centrifuge test tubes, and then immediately flash-frozen in liquid nitrogen. Samples were kept in a − 20 °C freezer until processed for chemical analyses.

Phenolics and amino acids were analyzed using methods from Wallis et al. [17] and Wallis and Chen [18] and using reagents and solvents provided by Thermo-Fisher Scientific (Waltham, MA, USA) unless stated otherwise. Frozen leaf samples were pulverized with a mortar and pestle in liquid nitrogen and had two 0.10 g aliquots weighed out into two 1.5 mL centrifuge tubes. For one of these tubes, the pulverized tissue was twice-extracted overnight at 4 °C in 0.5 mL methanol (for a total of 1 mL of methanol extract). The other tube was twice-extracted overnight at 4 °C in phosphate buffered saline solution (pH 6.8), for a total of 1 mL PBS extract.

High-performance liquid chromatography was used to examine phenolic compounds isolated in methanol. A Shimadzu (Columbia, MD, USA) A LC-20AD pump based liquid chromatograph equipped with Supelco Ascentis RP-18 (Sigma-Aldrich, St. Louis, MO, USA) column and a Shimadzu PDA-20 photodiode array detector had a total of 50 µL of the methanol extract injected into it for each sample. Sigma-Aldrich provided reference compounds used to identify and quantify compounds if available, with additional compounds identified via liquid chromatography-mass spectrometry using a Shimadzu LCMS2020 system [17] and comparing molecular weight information and relative retention times with those previously reported for grapevine stems and roots. Concentrations of the phenolics were made by running standard curves using compounds from the same compound class, such as caftaric acid for hydroxycinnamic acid derivatives or quercetin glucoside for flavonoids.

Amino acids were quantified by using a commercial kit (EZ:FAAST for GC-FID) obtained by Phenomenex (Torrance, CA, USA). For each sample, 100 µL of the PBS buffer extraction was used. Quantification was made using a Shimadzu GC2010 gas chromatography equipped with a flame ionization detector and using the kit-provided column and run method. Kit-provided external and internal standards were utilized to convert peak areas into measurable units.

Statistics were performed using IBM (Armonk, NY, USA) SPSS statistics version 24, with α = 0.05. Normality for all statistical tests was verified by examining deviations of residual plots and the use of Levene’s tests a priori. Summed totals of phenolics, the two major subclasses of phenolics (hydroxycinnamic acid derivatives and flavonoids), and amino acids were analyzed via univariate analyses of variance (ANOVAs) with a general linear model, with year, month, rootstock cultivar, infection status, and all interactions as treatment factors. Prior to these analyses, repeated-measures ANOVAs with the same general model were performed and suggested no significant effects (P < 0.05) of repeated sampling on the results. Each virus was handed separately, that is, one analysis was performed for GLRaV-3 and one for GRBV for each compound grouping. When appropriate, follow-up multiple comparison post-hoc Least Significant Difference tests were performed.

Results and discussion

GLRaV-3 effects on grapevine foliar chemistry

A total of 21 phenolics were quantified within grapevine leaves harvested in this study, with 10 being putatively identified as hydroxycinnamic acids derivatives and 11 being putatively identified as flavonoids. Total phenolic levels present within GLRaV-3 infected vines did not significantly differ from controls, nor did year or month have significant effects (Table 1; Fig. 1). Rootstock cultivar did have a significant effect, with vines with ‘St. George’ as the rootstock having lower phenolic levels than the other cultivars (Table 1). Total flavonoid levels were only significantly affected by month harvested (greater in September), rootstock (greater in ‘101-14 MG’ vines), and the year by month interaction. Total hydroxycinnamic acid levels were significantly affected by year (greater in 2019), month (greater in July), the year by month interaction, the month by rootstock interaction, and infection status (greater in healthy than GLRaV-3 infected vines) (Table 1).

Table 1 Summary of ANOVA and MANOVA results for effects on different grapevine compound classes
Fig. 1
figure 1

Mean (± SE) total foliar phenolic levels (top panels) or total amino acids levels (bottom panels) in vines grown on one of three different rootstocks and were either healthy or infected by GLRaV-3. Plants were sampled in May, July, or September in 2018 (left panels; N = 53 for either compound types) or 2019 (right panels; N = 53 for amino acids and N = 54 for phenolics)

A total of 15 amino acids were quantified in this study. For the GLRaV-3 cohort, significant effects on amino acids levels were observed for month (greater amounts in September), infection status (greater amounts in GLRaV-3 infected vines), year by month interaction, month by rootstock interaction, rootstock by infection status interaction, and year by host by infection status interaction (Table 1; Fig. 1).

It was unexpected to observe greater phenolic levels but fewer amino acids levels in non-infected plants than those afflicted with GLRaV-3. Yet, amino acids such as phenylalanine are precursors to phenolics, so it would be consistent to expect differential effects based on such phenomenon [19]. Greater amino acid levels also could imply infected leaves were a greater nutrient sink than leaves from uninfected plants.

GRBV effects on grapevine foliar chemistry

For the GRBV cohort, total phenolic levels differed due to year (greater in 2019), month (greater in July), rootstock cultivar (greater in ‘101-14 MGt’ vines), infection status (greater in controls than GRBV infected vines), and year by month interaction (Table 1; Fig. 2). Total flavonoid levels were significantly affected by year (greater in 2019), month harvested (greater in July), and rootstock cultivar (greater in ‘101-14 MGt’ vines) (Table 1). Total hydroxycinnamic acid levels were significantly affected by year (greater in 2019), month (greater in July), the year by month interaction, and infection status (greater in healthy than GRBV infected vines) (Table 1).

Fig. 2
figure 2

Mean (± SE) total foliar phenolic levels (top panels) or total amino acids levels (bottom panels) in vines grown on one of two different rootstocks and were either healthy or infected by GRBV. Plants were sampled in May, July, or September in 2018 (left panels; N = 36 for either compound type) or 2019 (right panels; N = 36 for either compound type)

For the GRBV cohort, significant effects on amino acids levels were observed for month (greater amounts in September), year by month interaction, and month by rootstock interaction (Table 1; Fig. 2).

Similarly to infection by GLRaV-3, infection by GRBV has significantly reduced foliar phenolic levels. Once again, this perhaps suggests mild viral infections keep leaves as sinks longer and delay differentiation and development.


Overall, phenolic and amino acid levels were much more affected by sampling time or rootstock cultivar than infection status. This suggests that weather, phenology, and influences from the rootstock utilized drove phenolic or amino acids levels more than infection status. This would compromise efforts to utilize host physiology-based diagnostic techniques, such as those that might look at subtle changes in leaf color to find viral infected plants prior to fully symptomatic development [20].

Lastly, unlike previous studies [9, 14], this study aimed to collect non-symptomatic foliage to observe potential changes in host chemistry over a greater timeframe throughout the growing season. Clearly this had an effect on findings, and also demonstrated limitations of analyzing host chemistry in mature, field-grown vines experiencing climatic fluctuations throughout the year. Great care should be taken in future studies to control variability to reach more accurate conclusions about viral infection effects on grapevine metabolites such as amino acids and phenolics.


These findings were limited by lack of replication which should be improved in similar future efforts. Furthermore, a greater number of both cultivars and locations should have been considered, as these were observed to be major drivers of variability within this study. One solution for future studies could be collecting a larger pool of leaf samples representing many more vines throughout the vineyard, thus reducing potential micro-environmental effects. Lastly, conclusions from this experiment were limited by lack of viral titer assessments. However, in the collected tissues titers were likely too low to be detected by PCR due to known issues with PCR-based detections of these viruses during certain times of the growing season [15, 16].

Availability of data and materials

The data described in this Research Note can be freely and openly accessed on the USDA Ag Data Commons (



Analysis of variance


Grapevine leafroll-associated virus 3


Grapevine red blotch virus


  1. Maree HJ, Almeida RPP, Bester R, Chooi KM, Cohen D, Dolja VV, Fuchs MF, Golino DA, Jooste AEC, Martelli GP, Naidu RA, Rowhani A, Saldarelli P, Burger JT. Grapevine leafroll-associated virus 3. Front Microbiol. 2013;4:82.

    Article  CAS  Google Scholar 

  2. Yepes LM, Cieniewicz E, Krenz B, McLane H, Thompson JR, Perry KL, Fucs M. Causative role of grapevine red blotch virus in red blotch disease. Phytopathology. 2018;108:902–9.

    Article  CAS  Google Scholar 

  3. Sudarshana MR, Perry KL, Fuchs MF. Grapevine red blotch-associated virus, an emerging threat to the grapevine industry. Phytopathology. 2015;105:1026–32.

    Article  Google Scholar 

  4. Almeida R, Daane K, Bell V, Blaisdell G, Cooper M, Herrbach E, Pietersen G. Ecology and management of grapevine leaf roll disease. Front Microbiol. 2013;4:94.

    Article  Google Scholar 

  5. Lee J, Keller KE, Rennaker C, Martin RR. Influence of grapevine leafroll associated viruses (GLRaV-2and-3) on the fruit composition of Oregon Vitis vinifera L. cv. Pinot noir: free amino acids, sugars and organic acids. Food Chem. 2009;117:99–105.

    Article  CAS  Google Scholar 

  6. Vega A, Gutierrez RA, Pena-Neira A, Cramer GR, Arce-Johnson P. Compatible GLRaV-3 viral infections affect berry ripening decreasing sugar accumulation and anthocyanin biosynthesis in Vitis vinifera. Plant Mol Biol. 2011;77:261–74.

    Article  CAS  Google Scholar 

  7. Komar V, Vigne E, Demangeat G, Fuchs M. Beneficial effect of selective virus elimination on the performance of Vitis vinifera cv. Chardonnay. Am J Enol Vitic. 2007;58:202–10.

    Google Scholar 

  8. Mannini F, Digiaro M. The effects of viruses and viral diseases on grapes and wine. In: Meng B, Martelli G, Golino D, Fuchs M, editors. Grapevine viruses: molecular biology, diagnostics and management. New York: Springer; 2017;

  9. Gutha LR, Casassa LF, Harbertson JF, Naidu RA. Modulations of flavonoid biosynthetic pathway genes and anthocyanins due to virus infection in grapevine (Vitis vinifera L.) leaves. BMC Plant Biol. 2010;10:187.

    Article  Google Scholar 

  10. Halldorson MM, Keller M. Grapevine leafroll disease alters leaf physiology but has little effect on plant cold hardiness. Planta. 2018;248:1201–11.

    Article  CAS  Google Scholar 

  11. Blanco-Ulate B, Hopfer H, Figueroa-Balderas R, Ye Z, Rivero RM, Albacete A, Perez-Alfocea F, Koyama R, Anderson MM, Smith RJ, Ebeler SE, Cantu D. Red blotch disease alters grape berry development and metabolism by interfering with the transcriptional and hormonal regulation of ripening. J Exp Bot. 2017;68:1225–38.

    Article  CAS  Google Scholar 

  12. Martinez-Luscher J, Plank CM, Brillante L, Cooper ML, Smith RJ, Al-Rwahnih M, Yu R, Oberholster A, Girardello R, Kaan KS. Grapevine red blotch virus may reduce carbon translocation leading to impaired grape berry ripening. J Agric Food Chem. 2019;67:2437–48.

    Article  CAS  Google Scholar 

  13. Rumbaugh AC, Giradello RC, Cooper ML, Plank C, Kaan Kurtural S, Oberholster A. Impact of rootstock and season on red blotch disease expression in Cabernet Sauvignon (V. vinifera). Plants (Basel). 2021;10:1583.

    Article  CAS  Google Scholar 

  14. Wallis CM, Sudarshana MR. Effects of Grapevine red blotch-associated virus (GRBaV) infection on foliar mechanism of grapevines. Can J Plant Pathol. 2016;38:358–66.

    Article  CAS  Google Scholar 

  15. Tsai CW, Daugherty MP, Almeida RPP. Seasonal dynamics and virus translocation of Grapevine leafroll-associated virus 3 in grapevine cultivars. Plant Pathol. 2012;61:977–85.

    Article  Google Scholar 

  16. Setiono FJ, Chatterjee D, Fucs M, Perry KL, Thompson JR. The distribution and detection of grapevine red blotch virus in its host depend on time of sampling and tissue type. Plant Dis. 2018;102:2187–93.

    Article  CAS  Google Scholar 

  17. Wallis CM, Chen J. Grapevine phenolic compounds in xylem sap and tissues are significantly altered during infection by Xylella fastidiosa. Phytopathol. 2012;102:816–26.

    Article  CAS  Google Scholar 

  18. Wallis C, Eyles A, McSpadden Gardener B, Hansen R, Cipollini D, Herms DA, Bonello P. Systemic induction of phloem secondary metabolism and its relationship to resistance to a canker pathogen in Austrian pine. New Phytol. 2008;177:767–78.

    Article  CAS  Google Scholar 

  19. Dixon RA. Natural products and plant disease resistance. Nature. 2001;411:843–7.

    Article  CAS  Google Scholar 

  20. Bendel N, Kicherer A, Backhaus A, Kockerling J, Maixner M, Bleser E, Kluck H, Seiffert U, Voegele RT, Topfer R. Detection of grapevine leafroll-associated virus 1 and 3 in white and red grapevine cultivars using hyperspectral imaging. Remote Sens. 2020;12:1693.

    Article  Google Scholar 

Download references


The author thanks Alejandro Jimenez, Erin Galarneau, and Nalong Mekdara for their technical assistance in this work. The author also thanks Foundation Plant Services in Davis, CA, for providing access to their research vineyard. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture. USDA is an equal opportunity provider and employer.


The work was funded by allocated funds to the San Joaquin Valley Agricultural Sciences Center, U.S. Department of Agriculture, Project# 2034-22000-012-00D.

Author information

Authors and Affiliations



CMW conducted all aspects of this work. The author read and approved the final manuscript.

Corresponding author

Correspondence to Christopher M. Wallis.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wallis, C.M. Potential effects of Grapevine leafroll-associated virus 3 (genus Ampelovirus; family Closteroviridae) or Grapevine red blotch virus (genus Grablovirus; family Geminiviridae) infection on foliar phenolic and amino acid levels. BMC Res Notes 15, 213 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: