Original research articles

Breeding for durable resistance to downy and powdery mildew in grapevine

Abstract

The current strategy to control grapevine downy and powdery mildew relies on chemical treatments. An alternative solution to the use of chemicals is the development of varieties resistant to pathogens. Several genetic factors derived from Vitis species closely related to cultivated grapevine and conferring protection against downy mildew or powdery mildew have already been identified. Nevertheless, many major resistance genes have been overcome by virulent strains of pathogens in various plant-pathogen interactions, and such resistance breakdowns have already been described in grapevine. Resistance genes are a limited resource, and their introduction in a new variety is a long-term and costly process. This is why the assessment and improvement of resistance durability is crucial, particularly in the case of a perennial species. The Inra-ResDur breeding program aims at creating varieties with durable resistance to downy and powdery mildew. The pyramiding strategy employed to limit the risk of resistance breakdown is described. Other innovative ways are proposed to enhance resistance durability.

Sources of resistance to grapevine downy and powdery mildew and resistance durability

Several genetic factors conferring protection against downy mildew or powdery mildew have already been identified in grapevine (Table 1). The majority of them confer varying levels of partial resistance to downy and powdery mildew, but some of them, coming from V. rotundifolia and V. piasezkii, confer total resistance in the genetic context where they are studied. Whatever their effect, partial or total, most genetic factors identified until now are located in genomic regions rich in NBS-LRR-like resistance genes, called R genes (Di Gaspero et al., 2007; Moroldo et al., 2008), and the cloning of Rpv1 and Run1 confirmed that they belong to this family (Feechan et al., 2013a). This observation means that most genetic factors identified until now are potentially involved in a gene-for-gene interaction with the pathogen. On the one hand, the situation seems very favourable: plenty of resistance sources are available and several resistance factors with various effects have already been discovered. But, on the other hand, we know that disease resistances are not necessarily stable traits: the protection offered by resistance genes can be overcome by a virulent strain of the pathogen. This is particularly the case when this control is based on a gene-for-gene interaction, due to the recognition of a protein encoded by the pathogen avirulence gene by the product of the corresponding plant resistance gene.

Table 1. Resistance factors to downy and powdery mildew identified in grapevine


Factor

Controlled

disease

Origin of

resistance

Chromosome

Resistance level

Reference

Rpv1

Downy mildew

V. rotundifolia

12

High

Merdinoglu et al., 2003

Rpv2

Downy mildew

V. rotundifolia

18

Total

Wiedemann-Merdinoglu et al., 2006

Rpv3

Downy mildew

V. rupestris

18

Partial

Bellin et al., 2009; Welter et al., 2007

Rpv4

Downy mildew

American Vitis

4

Weak

Welter et al., 2007

Rpv5

Downy mildew

V. riparia

9

Weak

Marguerit et al., 2009

Rpv6

Downy mildew

V. riparia

12

Weak

Marguerit et al., 2009

Rpv7

Downy mildew

American Vitis

7

Weak

Bellin et al., 2009

Rpv8

Downy mildew

V. amurensis

14

High

Blasi et al., 2011

Rpv9

Downy mildew

V. riparia

7

Weak

Moreira et al., 2011

Rpv10

Downy mildew

V. amurensis

9

High

Schwander et al., 2012

Rpv11

Downy mildew

American Vitis

5

Weak

Fischer et al., 2004

Rpv12

Downy mildew

V. amurensis

14

High

Venuti et al., 2013

Rpv13

Downy mildew

V. riparia

12

Weak

Moreira et al., 2011

Rpv14

Downy mildew

V. cinerea

5

-

Ochssner et al., 2016

Run1

Powdery mildew

V. rotundifolia

12

Total

Pauquet et al., 2001

Run 2.1

Powdery mildew

V. rotundifolia

18

Partial

Riaz et al., 2011

Run 2.2

Powdery mildew

V. rotundifolia

18

Partial

Riaz et al., 2011

Ren1

Powdery mildew

V. vinifera

13

Partial

Hoffmann et al., 2008

Ren2

Powdery mildew

V. cinerea

14

Partial

Dalbó et al., 2000

Ren3

Powdery mildew

American Vitis

15

Partial

Welter et al., 2007

Ren4

Powdery mildew

V. romanetii

18

Partial

Riaz et al., 2011

Ren5

Powdery mildew

V. rotundifolia

14

Total

Blanc et al., 2012

Ren6

Powdery mildew

V. piasezkii

9

Total

Pap et al., 2016

Ren7

Powdery mildew

V. piasezkii

19

Partial

Pap et al., 2016

Ren8

Powdery mildew

American Vitis

18

Partial

Zyprian et al., 2016

Many R gene breakdowns have been observed in various plant-pathogen interactions. But the first case of grapevine downy mildew resistance breakdown was recently described in the cultivar Bianca (Peressotti et al., 2010). The Bianca resistance is mainly determined by the Rpv3 factor (Bellin et al., 2009). Rpv3 confers to Bianca partial resistance to the majority of P. viticola strains. But after infection with the strain L collected in the Czech Republic, Bianca proves to be as susceptible as the susceptible cultivar Chardonnay (Peressotti et al., 2010). This does not reveal a simple increase in aggressiveness of the strain L but a real change in virulence which is specific to Bianca. When both virulent and avirulent strains are inoculated to V. rupestris, which displays a partial resistance phenotype very similar to that of Bianca, no differences are observed between strains, the resistance level of V. rupestris remaining stable whatever the strain. So, it can be clearly concluded that the strain L specifically overcomes the Rpv3 resistance factor. More recently, a similar situation was observed on Run1, a gene from V. rotundifolia conferring total resistance to powdery mildew (Feechan et al., 2013a, 2015). In this case, a naturally occurring powdery mildew isolate, Musc4, originated from southeastern North America, is able to grow on vines bearing the Run1 resistance gene and completely evade Run1 recognition.

The fact that resistance genes are a limited resource and that their introduction in a new variety is a long-term and costly process makes the question of the assessment and the improvement of resistance durability crucial, particularly in the case of a perennial species. According to Johnson (1979), resistance is considered durable when it remains effective in a cultivar during its commercial use. Even if resistance durability is a retrospective judgment, some principles which allow to predict or limit the risk of resistance breakdown can be stated. At the plant level, it is now admitted that pyramiding resistance genes – ie associating several resistance genes in the same variety –, using resistance genes with wide spectrum – ie capable to control a large range of pathogen strains – and combining various defense mechanisms are valuable strategies to increase resistance durability. At the pathogen level, the knowledge of its evolutionary potential, mainly determined by population size, gene flows or mating systems (McDonald and Linde, 2002), can help to assess the risk of breaking down resistance. At the host-pathogen interaction level, the fitness penalty associated to virulence (Leach et al., 2001), or the knowledge of the selective constraints on the evolution of avirulence factors can help to predict the durability of the corresponding plant resistance genes. But durability also depends on environmental conditions and cultural practices, which influence the development of pathogen populations. From a practical point of view, the sustainable management of resistance aims then at reducing the selection pressure applied by the resistance genes on the pathogen populations thanks to potentially durable genetic constructions and resistance deployment strategies, including cultivation practices.

Pyramiding strategies to enhance the durability of resistant varieties

In order to pyramid several resistance factors in the same cultivar, the use of multiple sources of resistance was chosen in the Inra-ResDur breeding program. The resistance sources that we are currently using mainly come from V. rotundifolia and from other American and Asian Vitis. The molecular markers derived from genetic analyses have been integrated in the breeding process to assist both the selection of candidate varieties carrying the desired gene combinations as well as the introgression of a resistance gene into a cultivated genetic background.

Compared to phenotyping, marker-assisted selection (MAS) is undoubtedly a tool of choice to identify the genotypes which combine the desired resistance factors and, thus, to construct varieties with a high potential of durability. Indeed, in some cases, plants carrying two or three resistance factors are undistinguishable from those carrying only one resistance gene, for instance, when this gene alone confers total resistance. But according to the principles determining resistance durability, plants combining several resistance factors are expected to have greater resistance durability, even if they display the same level of resistance than those bearing only one factor. In addition, MAS allows creating varieties with very high or even total resistance by combining multiple genetic factors contributing only partial resistance.

MAS was applied to three series of crosses including as genitors of resistance back-cross lines derived from V. rotundifolia, the cultivar Regent (in collaboration with Julius Kühn-Institut, Siebeldingen), the cultivar Bronner (in collaboration with Staatliches Weinbauinstitut, Freiburg) and the cultivar Divico (in collaboration with Agroscope, Changins). MAS allowed following six resistance alleles, Rpv1, Rpv3 and Rpv10 for downy mildew, and Run1, Ren3 and Ren3.2 for powdery mildew. This strategy led to the development of candidate varieties bearing two or three genes to control each disease. The correlation between the observed phenotype and the resistance genotype was rather good. However, variations in resistance level were observed around predicted mean values, suggesting the presence of unidentified resistance factors that segregate in the breeding populations and bring minor but significant effects.

The selection process is organized into three steps: early selection, which is a rapid screening step in controlled conditions including MAS and early phenotyping, intermediate selection in the Inra-ResDur experimental network, and final selection in the VCU (value for cultivation and use) network, managed in collaboration with IFV (Institut Français de la Vigne et du Vin), the last two being trials including wine tasting and conducted in the vineyard. The whole assessment process of candidate varieties takes 16-17 years. In this framework, the objective was to propose the registration of ca 30 varieties with black or white berries between 2017 and 2024. Varieties with three different combinations of 4-6 resistance factors to downy and powdery mildew, respectively Rpv1/Rpv3/Run1/Ren3, Rpv1/Rpv10/Run1/Ren3.2 and Rpv1/Rpv3/Rpv10/Run1/Ren3/Ren3.2, corresponding to the three series of crosses, will be released successively. Trials undertaken in intermediate selection have shown that all candidate varieties reach a very high resistance level in conditions of natural infection. One third of them display cultural and oenological traits compatible with the criteria of French wine production and the best of them, a wine quality comparable to that of control grape varieties (Chardonnay, Merlot) (Schneider et al., 2014). Four candidate varieties have already been submitted for registration into the national list in 2018 (Catalogue Officiel des Variétés de Vigne). These varieties represent an innovation breakthrough not only in terms of breeding strategy but also in terms of vine-growing practices. Indeed, it is expected that the new varieties will allow reducing the average treatment frequency index from 12, currently observed for the traditional varieties, to 2 in the future vine-growing systems. The promotion and dissemination of these varieties will be ensured under the ENTAV-INRA® trademark.

Future prospects: innovative approaches to identify new resistance factors to strengthen resistance durability

Apart from the approach described above, new strategies designed to diversify the types of resistance factors used to control the main grapevine diseases are now available and seem worth exploring to strengthen resistance durability. By way of conclusion, the opportunities offered by three of them are briefly presented.

So far, resistance gene pyramiding has been essentially based on MAS to combine dominant resistance genes which are discovered by conventional phenotyping (ie a resistance bio-assay where plants or parts of plants are inoculated with a pathogen) and which putatively belong to one of the canonical families of R genes. Combining genes working through different mechanisms (ie dominant and recessive genes) has been proposed to increase the durability potential of resistant varieties. Genes whose loss of function confers recessive resistance have already been identified, like DMR6 in the Arabidopsis thaliana - Hyaloperonospora arabidopsidis interaction or Mlo for barley resistance to powdery mildew. The screening of KO mutations for such recessive candidate resistance genes in the natural diversity of Vitis species or the creation of non-functional mutants by gene editing technologies appear as valuable alternative strategies to diversify the range of resistance genes available for grapevine breeding. Indeed, the grapevine homologue of the barley Mlo gene has been identified, validating its function in resistance against powdery mildew (Feechan et al., 2013b; Pessina et al., 2016).

R genes recognize pathogen-encoded factors, so called avirulence genes (Avr), and trigger defense responses. Most oomycete Avr proteins known to date do belong to the RXLR family of effector proteins. RXLR effectors form a large fast-evolving family. Accordingly, most individual resistance genes deployed against oomycetes have been overcome by the pathogens, and, as has previously been shown for Rpv3 (Peressotti et al., 2010), grapevine is not an exception. Based on these concepts, we have proposed to use the most conserved components of the repertoire of oomycete effector genes as a way to identify potentially durable resistances. First, effector proteins were identified from P. viticola (Mestre et al., 2012). Then, 45 expressed RXLR effectors were unveiled, including effectors conserved between oomycete species, thus potentially essential for the pathogen (Mestre et al., 2016). These “essential” P. viticola RXLR effectors are currently used to detect resistance sources carrying R genes recognizing them and, thus, to identify a priori durable resistance genes.

MAS was shown to be successful to select resistances based on major genes. Nevertheless, field observations suggest that putative minor factors are involved in the expression of weak but significant effects that can enhance the protection conferred by major genes and improve their durability. Quantitative resistance based on several or even many minor genes is characterized by a diffused and complex genetic architecture, similar to agronomic traits such as yield. If MAS facilitates major resistance gene pyramiding, it looks not adapted to capture small-effect loci. Genomic selection is an approach based upon whole-genome prediction models using genome-wide molecular markers ((Meuwissen et al., 2001). It looks ideal for traits with complex genetic architecture controlled by many small effects, and thus adapted to breeding for quantitative resistance. So, the implementation of genomic selection for grape breeding will certainly bring new opportunities to combine both major R genes and quantitative resistance and thus construct varieties with highly durable resistance.

Acknowledgments

We gratefully acknowledge the Inra Plant Biology and Breeding Division, the Fondation Jean Poulain and the French National Research Agency for their funding.

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Authors


Didier Merdinoglu

didier.merdinoglu@inra.fr

http://orcid.org/0000-0001-8568-0495

Affiliation : Institut National de la Recherche Agronomique

Country : France


Christophe Schneider

Affiliation : Institut National de la Recherche Agronomique

Country : France


Emilce Prado

Affiliation : Institut National de la Recherche Agronomique

Country : France


Sabine Wiedemann-Merdinoglu

Affiliation : Institut National de la Recherche Agronomique

Country : France


Pere Mestre

Affiliation : Institut National de la Recherche Agronomique

Country : France

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