| Literature DB >> 35633680 |
Kseniia Koledenkova1, Qassim Esmaeel1, Cédric Jacquard1, Jerzy Nowak2, Christophe Clément1, Essaid Ait Barka1.
Abstract
Plasmopara viticola (P. viticola, Berk. & M. A. Curtis; Berl. & De Toni) causing grapevine downy mildew is one of the most damaging pathogens to viticulture worldwide. Since its recognition in the middle of nineteenth century, this disease has spread from America to Europe and then to all grapevine-growing countries, leading to significant economic losses due to the lack of efficient disease control. In 1885 copper was found to suppress many pathogens, and is still the most effective way to control downy mildews. During the twentieth century, contact and penetrating single-site fungicides have been developed for use against plant pathogens including downy mildews, but wide application has led to the appearance of pathogenic strains resistant to these treatments. Additionally, due to the negative environmental impact of chemical pesticides, the European Union restricted their use, triggering a rush to develop alternative tools such as resistant cultivars breeding, creation of new active ingredients, search for natural products and biocontrol agents that can be applied alone or in combination to kill the pathogen or mitigate its effect. This review summarizes data about the history, distribution, epidemiology, taxonomy, morphology, reproduction and infection mechanisms, symptoms, host-pathogen interactions, host resistance and control of the P. viticola, with a focus on sustainable methods, especially the use of biocontrol agents.Entities:
Keywords: Plasmopara viticola; Vitis vinifera; disease management; downy mildew; grapevine
Year: 2022 PMID: 35633680 PMCID: PMC9130769 DOI: 10.3389/fmicb.2022.889472
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 6.064
Figure 1The most popular hosts of downy mildews. The color density corresponds to the rate of the crop damaged upon the total host range.
The most common downy mildew genera, their hosts and control strategies.
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| Lettuce | •Genetic resistance | Lebeda, |
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| • | • | •Resistant genotypes | Holub, |
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| • | •Tobacco | •Crop rotation | Lim, |
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| • | •Maize | •Crop rotation | Exconde, |
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| • | •Cucumber, Pumpkin, Zucchini, Squash, Melon, Watermelon | •Multiple application of both protectant and systemic fungicides | Palti and Cohen, |
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| • | •Rice, Sorghum, Wheat, Oat, Maize, Turf grass | •Cultural practices | Dick et al., |
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| • | •Grapevine | •Cultural practices | Voglmayr et al., |
Figure 2(A) Bibliometric analysis of the specific keywords used in the published literature related to downy mildew. Bibliographic data were extracted from the SCOPUS database using specific keywords “Plasmopara viticola” or “P. viticola” and “downy mildew” and “grapevine,” and the analysis include different bibliometric indices such as the most popular keywords, countries, and the top journals. For the network construction we used the VOSviewer processing software (https://www.vosviewer.com/ v1.6.9., Leiden University, Leiden, The Netherlands). (B) Publimetry related to downy mildew across the world. The network analysis, constructed using the VOSviewer software, includes the most popular countries.
Figure 3The most popular oomycetes that cause disease in plants. Morphological structures represented include length, branching and septation of conidio- or sporangiophores; conidial/sporangial size, shape, position, amount, and type of connection.
Figure 4Phylogenetic tree represents different genera of Peronosporaceae family. For phylogenetic tree analysis, a large subunit of ribosomal RNA (LSU) gene sequences of the different genera of Peronosporaceae family were retrieved from the National Center for Biotechnology Information database (NCBI) (http://www.ncbi.nlm.nih.gov). Collected sequences were aligned to construct the phylogenetic tree. The tree was built using MEGA version X with neighbor-joining method. The dataset was boot-strapped 1,000 times. Values at nodes indicate bootstrap values out of 1,000 resampling.
Figure 5Phylogenetic tree represents different members of Plasmopara genus. The tree was built with MEGA version X using the large subunit of ribosomal RNA (LSU) gene sequences of the different members of Plasmopara genus. Values at nodes indicate bootstrap values out of 1,000 resampling.
Project information and genomic features of draft genome sequences of different isolates of P. viticola.
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| Sequencing technology | PacBio | Illumina HiSeq; PacBio | Illumina | |
| Mean coverage | 185.0x | 207.0x | 164.0x | |
| Assembly method | PBcR v. wgs8.3rc2 | AllPaths v. DEC-2015; PBJelly2 v. MAY-2016 | Ray v. JANUARY-2014 | |
| Assembly level | Scaffold | |||
| BIOPROJECT | PRJNA329579 | PRJNA361333 | PRJNA380033 | |
| BioSample | SAMN05415085 | SAMN06231250 | SAMN06627059 | |
| Source material identifier (host) | Leaves ( | Leaves ( | Leaves and spores ( | |
| Project relevance | Agriculture | |||
| Geographic location | France: Blanquefort | China: Jilin province | Italy: San Michele all'Adige | |
| Size | 92.94 Mb | 101.30 Mb | 83.54 Mb | |
| G+C content (%) | 44.80 | 37.50 | 42.40 | |
| Number of scaffolds | 358 | 2,165 | 57,890 | |
| Scaffold N50 | 706,521 | 172,266 | 4,645 | |
| Scaffold L50 | 38 | 172 | 3,777 | |
| Number of contigs | 374 | 23,193 | 65,120 | |
| Contig N50 | 666,562 | 14,258 | 2,161 | |
| Contig L50 | 41 | 1,201 | 7,173 | |
| GenBank ID | MBPM00000000 | MTPI00000000 | NBAH00000000 | |
| References | Dussert et al., | China Agriculture University | Brilli et al., | |
Figure 6Life cycle of Plasmopara viticola. The represented cycle includes asexual stages of the pathogen development, disease cycle and host symptoms connected altogether. The microscopical observations of the pathogen within the plant tissues had been conducted under the epifluorescence microscope (Olympus Bx43, Japan) using a U/B/G filter and images were captured using Infinity Analyze software.
Figure 7Cross section of leaf infected by downy mildew. The pathogen structures are colored black, and all the stages of asexual life cycle are represented in the same plane of gray-colored plant cells, abaxial surface up.
Microorganisms based pesticides used against downy mildews.
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| Bacteria | Hyperparasitism and induced resistance | Savini et al., | |
| Induced resistance | Savini et al., | ||
| Antifungal metabolites | Zhang et al., | ||
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| Antifungal lipopeptide iturin A | Furuya et al., | |
| Hyperparasitism and antifungal metabolites | Savini et al., | ||
| Antifungal metabolites | Zhang et al., | ||
| Zoospore release inhibition and induced resistance | Hamaoka et al., | ||
| Cell wall degradation due to lytic enzymes and anti-germinative metabolite diketopiperazine | Puopolo et al., | ||
| Cell wall degradation | Zang et al., | ||
| Lytic enzymes (paenimyxin) and induced resistance | Hao et al., | ||
| Induced resistance | Lakkis et al., | ||
| Induced resistance | Archana et al., | ||
| Zoosporicidal activity due to metabolite production | Liang et al., | ||
| Zoosporicidal activity due to metabolite khatmiamycin | Abdalla et al., | ||
| Induced resistance | El-Sharkawy et al., | ||
| Induced resistance | El-Sharkawy et al., | ||
| Yeasts |
| Induced resistance | Harm et al., |
| Fungi |
| Anti-germinative metabolites acremines | Lo Piccolo et al., |
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| Anti-germinative metabolites acremines | Assante et al., | |
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| Antifungal metabolites diketopiperazines | Musetti et al., | |
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| Hyperparasitism | Kortekamp, | |
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| Hyperparasitism and lytic enzymes | Ghule and Sawant, | |
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| Hyperparasitism and lytic enzymes | Ghule and Sawant, | |
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| Hyperparasitism and lytic enzymes | Ghule and Sawant, | |
| Hyperparasitism and lytic enzymes | Ghule and Sawant, | ||
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| Cell wall degradation | Falk et al., | |
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| Induced resistance | Thuerig et al., | |
| Zoosporicidal activity due to phomopsidin metabolites | Talontsi et al., | ||
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| Induced resistance | Bruisson et al., | |
| Induced resistance due to VOCs | Perazzolli et al., | ||
| Induced resistance | El-Sharkawy et al., | ||
| Induced resistance | El-Sharkawy et al., |