­­­grapevine (Vitis Spp.) Rootstock Stilbenoid Associations With Host Resistance to and Induction by Root Knot Nematodes, Meloidogyne Incognita

DOI: https://doi.org/10.21203/rs.3.rs-32588/v1

Abstract

Objective:The root knot nematodes (RKN)Meloidogyne incognita can severely reduce grapevine yields over time. Grapevine rootstocks have been developed from wild Vitis species that provide resistance to nematode infections. However, the potential biochemical or mechanical mechanisms of resistance have not been thoroughly explored. Therefore, this study measured levels of stilbenoids in roots of non-infected and RKN-infected grapevines with Cabernet Sauvignon scion grafted to susceptible (O39-16) or resistant (Freedom) rootstocks. This was part of a larger effort to assess phenolic compound levels within grapevine rootstocks to determine roles of stilbenoidcompounds in improving nematode resistance and overall plant health.

Results: None of the assessed compounds were consistently greater in RKN infected plants versus healthy controls. Stilbenoids putatively identified as pallidol, ɑ-viniferin, miyabenol C, and hopeaphenol were overall much greater in Freedom than O39-16 rootstocks. By contrast, the stilbenoids ampelopsin A, ω-viniferin, and vitisin B were greater in O39-16 than Freedom. O39-16 and Freedom had similar levels of other stilbenoids especially monomers and dimers. Potentially the greater levels of specific stilbenoids present in Freedom than O39-16 provided RKN resistance. If validated, breeding programs could utilize the increased presence of these compounds as a marker for increased resistance to nematodes.

Introduction

Root knot nematodes [RKN, Meloidogyne incognita (Kofoid & White) Chitwood] can be major pathogens almost everywhere grapevines are grown as populations can build up over time in established vineyards to severely affect root functioning, with effects on overall plant health and yields [1].

The majority of commercial grapevines are now Vitis vinifera cultivars grown as scions grafted onto rootstocks, as some of these rootstocks possess medium to high levels of resistance to RKN from breeding projects dating back to the 1950s [28]. The mechanisms for resistance to RKN remain unclear, with work to characterize how grapevines could ward off nematodes only beginning [4]. One potential mechanism is the production of a class of phenolic compounds called stilbenoids, which are mostly associated with being antibiotics against microbes [9]. Indeed, a recent study of stilbenoids present in roots of grapevine was conducted on self-rooted ‘Cabernet Sauvignon’ and quantified high levels of five stilbenoid compounds: resveratrol, piceatannol, piceid, ε-vinifierin, and δ-viniferin [10].

However, many more stilbenoids likely exist in grapevine rootstocks as multiple species can comprise specific ones. This is the first study to relate concentrations of stilbenoids to observed resistance that grapevine rootstocks may possess against nematodes. Thus, stilbenoid levels were assessed in a susceptible rootstock cultivar ‘O39-16’ (V. vinifera x Vitis rotundifolia) and a resistant rootstock cultivar ‘Freedom’ (Vitis champinii x Vitis solonis x Vitis riparia). Future and ongoing studies will examine additional rootstocks with different backgrounds. Findings could be used to aid the development of novel RKN resistance molecular markers for use in grapevine breeding efforts.

Main Text

Materials And Methods

Experimental design and sample collection

In both June of 2015 and 2016, a total of 16 for each of ‘Cabernet Sauvignon’ grapevines either grafted to ‘O39-16’ (RKN-susceptible) or ‘Freedom’ (RKN-resistant) [7, 13] were inoculated with RKN by pipetting 10 mL of a nematode suspension, containing a total of 1,000 nematodes, into the soil around the plants. The treatments were arranged as a completely randomized block design, with the plants kept in controlled greenhouse conditions the entire time. Four controls and four RKN infected plants were harvested at six- and twelve-weeks post-inoculation treatment. At each harvest, the plants were removed from the pots, with the roots briefly rinsed in water, and sampled by using pruning shears to collect six semi-randomly collected segments covering fine, lateral, and tap roots (roughly 10 g total were collected) for nematode extractions, and additional roots were collected similarly and flash-frozen in liquid nitrogen and kept at -20 °C for compound extractions. The leftover soil was then hand-mixed with roughly 50 cm3 collected in a 50 mL centrifuge tube for soil nematode counts.

Root knot nematode counts

RKN counts were made in both the root tissues and collected soil. In brief, modified Baermann funnels were set up with filter paper, on which a weighed amount of roots were (roughly 5 g) submerged in water. The end of the funnel had a small amount of rubber tubing closed with a binder clip. Likewise, 50 cm3 was measured out and placed on filter paper and submerged. After 48 hours, the water was collected from the funnel assembly, and brought to 10 mL total. A 1 mL aliquot of this was then placed in a deep-well microscope slide with a four 1 mm x 1 mm grid for counting RKN. Final counts were adjusted to a per g root or per cm3 soil amounts.

Stilbenoid extraction and quantification

Chemical analyses proceeded based on modified methods of Wallis et al. [11] and Wallis and Chen [12]. All reagents and solvents were provided by Thermo-Fisher Scientific (Waltham, MA, USA) unless otherwise mentioned. In brief, all frozen root samples were pulverized with a mortar and pestle in liquid nitrogen and had three 0.10 g aliquots weighed out into three 1.5 mL centrifuge tubes and then extracted overnight at 4 °C in methanol. Remaining pellets were re-extracted in 0.5 mL of the same solvent, with this second extract combined with the first 1.0 mL total extract after combination.

High-performance liquid chromatography (HPLC) was used to examine stilbenoid compounds from these methanol extracts. A total of 50 µL of the methanol extract was injected into a Shimadzu (Columbia, MD, USA) 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. Sigma-Aldrich provided piceatannol, resveratrol, and ε-viniferin, which were used to identify these compounds. Other compounds were identified via liquid chromatography-mass spectrometry using a Shimadzu LCMS2020 system [12] and comparing molecular weight information and relative retention times with those previously reported for grapevine stems and roots (Table 1). The obtained weights of phenolics present within samples were derived by running standard curves made using resveratrol [12].

Table 1

Compounds quantified in this study and criteria used for putative identifications.

Stilbenoid Type

Putative Name

Retention Time

Molecular Weight

References

Monomer

piceatannol

19.1

243

[1416]

 

resveratrol

21.5

228

[1416]

Dimer

ampelopsin A

16.3

469

[1415]

 

ampelopsin D/ quadrangularin A

18.8

454

[17]

 

ε-viniferina

24.0

454

[10, 1417]

 

pallidol

18.1

454

[17]

 

ω-viniferin

26.6

454

[1516]

Trimer

α-viniferin

24.7

680

[17]

 

miyabenol C

22.3

680

[1415, 17]

Tetramer

hopeaphenolb

25.9

906

[1415]

 

vitisin B

27.8

906

[1516]

a compound potentially co-eluted with δ-viniferin
b compound potentially co-eluted with isohopeaphenol

Statistical analyses

IBM (Armonk, NY, USA) SPSS statistics version 22, with α = 0.05, was used for all statistical analyses. Outliers consistently greater than two standard errors of a mean for each factor were excluded from analyses [11]. Unless stated, for all analyses N = 32.

Due to a lack of meeting normality assumptions, non-parametric Mann-Whitney U tests were used to confirm differences in RKN nematodes present within soil and roots among the grapevine rootstock cultivars (O39-16 or Freedom), for each sampling time (six or twelve weeks), and for each year (2015 or 2016) for RKN-inoculated plants only, as all non-inoculated plants did not have RKN observed.

Analyses of variance (ANOVAs) were employed to compare differences in individual compounds between rootstock cultivars and differences due to inoculation status (with the interaction also in the model). Each year was treated as a separate experimental trial.

Results And Discussion

Nematode counts

Nematode levels in the soil were significantly less when the resistant ‘Freedom’ was used instead of susceptible ‘O39-16’ as the rootstock (Mann-Whitney U = 73.000; P = 0.038) (Fig. 1A). Fewer nematodes were counted in the soil in 2015 than 2016 (Mann-Whitney U = 50.500; P = 0.003). There were no differences in soil nematode counts between sampling done in week 6 compared with week 12 (Mann-Whitney U = 104.500; P = 0.375).

Nematode counts in the roots were greater in the susceptible ‘O39-16’ rootstocks than resistant ‘Freedom’ (Mann-Whitney U = 60.500; P = 0.009) (Fig. 1B). Nematode counts in root samples also were less in 2015 than 2016 (Mann-Whitney U = 62.500; P = 0.011). There was no a significant difference in root nematode counts when samples were collected at 6 versus 12 weeks (Mann-Whitney U = 113.500; P = 0.574).

These results confirm previous observations, as it was observed that ‘Freedom’ rootstocks possess high levels of resistance to nematode infections whereas ‘O39-16’ rootstocks were susceptible [7, 13]. However, little was known about the mechanisms of resistance, that is, whether chemical or physical barriers prevented nematode infections. The analyses of stilbenoids in this study provide evidence that resistance could be imparted by differences in host defense compound levels between these two rootstocks.

Root stilbenoid levels

A total of eleven stilbenoids were putatively identified in this study, and each compound was analyzed by week and year separately (Table 1). The stilbenoid compounds quantified in this study were similar as those found in other studies (Table 1), albeit the resveratrol glycoside piceid was not observed in quantifiable amounts, with only trace characteristic ions observed by LC-MS, despite being observed previously [10, 14]. However, piceid also was not present in sufficiently quantifiable amounts in V. vinifera by Lambert et al. [15] or in many of the wild Vitis spp. studied by Pawlus et al. [16]. The putatively identified miyabenol C, hopeaphenol, and ε-viniferin were the most prevalent stilbenoids observed in this study, which was like previous observations [10, 1415].

For most analyses, there were no significant differences due to infection status, with a few exceptions (Table 2). Nematode infections increased levels of piceatannol, ampelosin D/quandrangularin A, and ɑ-viniferin in week 12 of 2016. By contrast, ampelopsin A, ω-viniferin, and vitisin B were present in lower levels in nematode infected plants compared to controls during week 12 of 2016. Pallidol had lower levels in nematode infected plants compared to controls in week 6 of 2016. Potentially, a greater number of nematodes present in soil in 2016 (Fig. 1a) resulted in these observations.

Table 2

Mean (± SE) concentrations of individual stilbenoids (µg/g FW) in healthy or RKN-infected roots.

       

O39-16

Freedom

 

F-statistic

 

Stilbenoid Type

Putative Name

Year

Week

Control

RKN

Control

RKN

Cultivar

Inoculation

Interaction

Monomer

piceatannol

2015

6

17.6 ± 6.5

37.3 ± 17.0

12.5 ± 3.6

19.0 ± 4.0

1.521

1.912

0.490

     

12

15.5 ± 2.7

75.6 ± 27.8

11.9 ± 2.9

17.6 ± 0.8

4.839*

5.502*

3.756

   

2016

6

17.5 ± 4.0

35.0 ± 8.5

36.7 ± 6.0

30.2 ± 18.5

1.588

0.954

4.509

     

12

26.4 ± 3.0

36.2 ± 11.8

31.8 ± 1.1

39.9 ± 3.7

0.337

1.709

0.001

 

resveratrol

2015

6

301 ± 99

1170 ± 660

105 ± 29

131 ± 43

3.383

1.770

1.567

     

12

100 ± 27

738 ± 486

106 ± 13

111 ± 40

1.625

1.737

1.686

   

2016

6

216 ± 27

323 ± 151

299 ± 79

192 ± 22

0.078

0.000

1.520

     

12

281 ± 88

490 ± 226

204 ± 25

252 ± 14

1.659

1.112

0.434

Dimer

ampelopsin A

2015

6

250 ± 51

265 ± 62

204 ± 44

281 ± 72

0.055

0.512

0.241

     

12

255 ± 51

314 ± 67

235 ± 28

228 ± 28

1.211

0.293

0.469

   

2016

6

451 ± 59

480 ± 45

408 ± 77

304 ± 36

3.804

0.449

1.393

     

12

578 ± 47

307 ± 22

288 ± 26

324 ± 29

17.527**

13.049**

22.154***

 

ampelopsin D /quadrangularin A

2015

6

11.9 ± 3.8

24.6 ± 9.5

21.8 ± 4.6

27.8 ± 4.3

1.206

2.435

0.309

     

12

10.2 ± 1.8

38.3 ± 13.0

23.3 ± 1.7

26.1 ± 1.4

0.005

5.356*

3.620

   

2016

6

26.7 ± 7.5

32.0 ± 9.8

51.1 ± 3.7

51.7 ± 1.3

11.509**

0.209

0.133

     

12

28.3 ± 5.4

30.0 ± 6.3

52.1 ± 6.9

58.6 ± 17.6

6.430*

0.156

0.054

 

ε-viniferin

2015

6

350 ± 33

212 ± 88

218 ± 63

174 ± 56

1.833

2.092

0.567

     

12

267 ± 91

223 ± 23

131 ± 9

181 ± 40

3.024

0.004

0.836

   

2016

6

387 ± 55

372 ± 47

274 ± 49

234 ± 27

7.544*

0.360

0.076

     

12

379 ± 9

214 ± 51

248 ± 18

331 ± 73

0.022

0.828

7.445*

 

pallidol

2015

6

69.5 ± 10.5

84.6 ± 20.7

182 ± 6

184 ± 40

20.386***

0.135

0.077

     

12

61.3 ± 10.2

80.5 ± 18.4

141 ± 19

177 ± 32

17.415***

1.737

0.165

   

2016

6

86.0 ± 18.6

127 ± 15

122 ± 13

149 ± 6

4.433

5.890*

0.255

     

12

125 ± 18

104 ± 17

162 ± 20

197 ± 43

6.069*

0.070

1.112

 

ω-viniferin

2015

6

247 ± 49

208 ± 26

83.4 ± 16.6

97.0 ± 21.7

20.006***

0.175

0.739

     

12

358 ± 30

304 ± 43

103 ± 9

105 ± 13

68.739***

0.930

1.029

   

2016

6

363 ± 51

459 ± 28

298 ± 75

204 ± 16

11.045**

0.001

3.911

     

12

528 ± 46

312 ± 17

196 ± 14

241 ± 12

57.218***

10.148**

23.936***

Trimer

α-viniferin

2015

6

33.1 ± 2.4

27.9 ± 5.6

32.7 ± 5.8

36.8 ± 8.1

0.532

0.008

0.631

     

12

41.2 ± 5.8

42.1 ± 5.1

62.9 ± 2.9

63.4 ± 4.2

21.407***

0.026

0.003

   

2016

6

78.8 ± 5.5

63.2 ± 2.9

82.6 ± 6.9

99.5 ± 16.2

4.615

0.005

3.036

     

12

53.3 ± 2.4

61.2 ± 5.5

74.5 ± 6.5

96.1 ± 5.5

28.269***

7.844*

1.661

 

miyabenol C

2015

6

6.39 ± 1.42

11.2 ± 7.4

148 ± 22

169 ± 24

53.106***

0.411

0.165

     

12

6.62 ± 0.90

19.2 ± 4.9

187 ± 9

189 ± 29

101.094***

0.171

0.096

   

2016

6

69.8 ± 52.5

11.1 ± 2.8

190 ± 60

219 ± 18

16.031**

0.128

1.155

     

12

8.67 ± 1.30

11.3 ± 2.1

216 ± 15

235 ± 1

805.294***

1.923

1.094

Tetramer

hopeaphenol

2015

6

246 ± 45

176 ± 19

875 ± 224

1032 ± 300

15.514**

0.053

0.362

     

12

352 ± 36

266 ± 41

884 ± 112

879 ± 167

30.134***

0.189

0.149

   

2016

6

596 ± 207

439 ± 19

1100 ± 230

1260 ± 120

16.355**

0.000

0.913

     

12

423 ± 39

282 ± 20

1140 ± 70

1290 ± 30

388.179***

0.159

16.672**

 

vitisin B

2015

6

81.6 ± 17.3

69.7 ± 13.1

8.79 ± 1.36

9.70 ± 2.08

50.634***

0.345

0.468

     

12

131 ± 11

104 ± 18

9.81 ± 1.12

12.2 ± 1.9

104.258***

1.334

1.910

   

2016

6

113 ± 32

162 ± 10

57.0 ± 38.1

17.3 ± 2.7

15.611**

0.033

3.044

     

12

185 ± 19

105 ± 5

17.2 ± 1.4

20.1 ± 1.3

167.010***

15.505**

17.961**

*P < 0.05; ** P < 0.01; *** P < 0.001
Figure List

The susceptible ‘O39-16’ rootstocks consistently possessed greater levels of ω-viniferin and vitisin B than the resistant ‘Freedom’ rootstock (Table 2). By contrast, ‘Freedom’ rootstocks consistently possessed greater levels of miyabenol C and hopeaphenol (Table 2). Previously, Lambert et al. [15] observed vast differences in stilbenoid concentration among many V. vinifera cultivars, including the presence or virtual absence of certain compounds such as miyabenol C and vitisin B. Furthermore, Pawlus et al. [16] observed differences and presence or absence of certain stilbenoids among wild Vitis spp. as well. Unlike this study, Pawlus et al. [16] did not examine currently available commercial rootstock cultivars. Furthermore, although Lambert et al. [15] and Pawlus et al. [16] observed chemistry of stem tissues, this study determined similar differences when comparing stilbenoid levels in the roots of different species-derived rootstocks, namely large differences in certain specific compounds.

Conclusions

Based on these observations, a hypothesis can be formed that miyabenol C and hopeaphenol levels potential impart resistance to RKN, as these compounds were present in levels four- to ten-fold greater in resistant ‘Freedom’ rootstocks than ‘O39-16’. By contrast, tt seems likely that many of the stilbenoid monomers and dimers are not involved in RKN resistance, as otherwise greater levels of dimers (such as ε-viniferin and ω-viniferin) would make ‘O39-16’ more resistant. It also could be hypothesized that ‘Freedom’ possesses enzymes that are more effective at producing stilbenoid trimers and tetramers than ‘O39-16’. Targeting genes ultimately responsible to produce the stilbenoid polymer synthases could reveal genetic differences between the two cultivars and may be mapped as molecular markers of RKN resistance. These new markers could prove valuable in breeding efforts to impart RKN resistance in newly developed rootstocks.

Limitations

This data set is limited by including only two cultivars, just one resistant and one susceptible, so firm conclusions about the roles of stilbenoids cannot be made at this time. Additional studies across a broader spectrum of both RKN susceptible and resistant rootstocks would be necessary to support conclusions. Other compounds and defense proteins also are likely involved in host defense against RKN. There also is the possibility that nutritional differences or unmeasured effects on overall plant health that differ between rootstock cultivars also could result in observed differences in RKN susceptibility. Lastly, and importantly, bioassays that directly or indirectly observe the effects of stilbenoids on nematode reproduction, feeding, or survival would be necessary to support the hypotheses that certain compounds impart resistance. Unfortunately, the major of stilbenoid compounds are not commercially available, and time-consuming isolations or syntheses are needed for these studies to proceed.

Abbreviations

RKN

root knot nematode

Declarations

Ethics approval and consent to participate

Not applicable.

Availability of data and materials

The data described in this Data note can be freely and openly accessed on the USDA Ag Data Common (https://data.nal.usda.gov/search/type/dataset).

Funding

The work was funded by allocated funds to the San Joaquin Valley Agricultural Sciences Center, U.S. Department of Agriculture.

Acknowledgements

The author thanks Nancy Goodell, Julie Pedraza, Mala To, and Justin King for their technical assistance in this work. The author also thanks Andreas Westphal from the University of California, Parlier, CA, for providing root knot nematodes and expertise in counting and inoculation used to perform these studies. 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.

Consent for publication

Not applicable.

Competing interests

Not applicable.

Author’s contributions

CMW conducted all aspects of this work.

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