Advances in molecular and optical detection strategies for grape downy mildew

Heger, Lexi; Martin, Frank N.; Sharma, N.; Miles, Timothy D.

doi:10.1051/bioconf/20225001005

Cited by 1 publication

(2 citation statements)

References 7 publications

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“…In conclusion, this study illuminates latent P. viticola infection dynamics in commercial vineyards and its impact on GDM progression. In comparison to other methodologies such as PCR (Rouxel et al, 2014), spore trapping (Heger et al, 2022) and early warning prediction (Caffi & Rossi, 2010), which require testing after initial disease onset, this approach offers accessible and early assessment of potential P. viticola infection levels. This would aid growers in making informed decisions and implementing early intervention strategies for GDM management.…”

Section: Discussionmentioning

confidence: 99%

“…This assay facilitates the detection of potential pathogens within mixed populations and allows quantification of very low infection levels (Ammour et al., 2020; Chu et al., 2019; Yang et al., 2023). The qPCR assay outperforms traditional PCR assays in detecting and quantifying DNA from various sources, including soilborne fungi (Luo et al., 2009), airborne spores (Heger et al., 2022), oomycetes (Sanzani et al., 2014) and plant tissues (Ammour et al., 2020). Furthermore, the quantitative and rapid detection capabilities of the qPCR make it invaluable for epidemiological studies.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Exploring the association between latent Plasmopara viticola infection and downy mildew epidemic in commercial vineyards: Application of qPCR assay

Yang,

Deng,

Chu

et al. 2023

Plant Pathology

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It is critical to quantify latent Plasmopara viticola infections in commercial vineyards rapidly and accurately to estimate the potential for grapevine downy mildew (GDM) epidemics. In this study, a well‐established quantitative PCR (qPCR) assay was employed to quantify the amount of P. viticola in asymptomatic grapevine leaves from various commercial vineyards in the Ningxia Hui Autonomous Region (Ningxia), China. The qPCR revealed efficient detection of P. viticola, with 56.6% and 95.8% of the asymptomatic leaves testing positive to the pathogen in 2018 and 2019, respectively. The molecular disease index (MDI), which offers insights into the progression of latent infection preceding the appearance of visible GDM symptoms, showed relatively modest values in the initial phases. However, it increased variably as grapevines grew. The disease index progress curve and the relative area under the disease progress curve revealed that all assessed vineyards experienced different degrees of epidemics after the initial GDM observation, with most vineyards experiencing more severe GDM epidemics in 2019 than in 2018. Bayesian and non‐linear regression analyses demonstrated that MDI data matched well with occurrence of GDM at early, mid and late stages of disease, and the overall accuracy of predictions exceeded 50%, 64% and 70%, respectively. Furthermore, latent infection levels were positively correlated with subsequent assessments of disease progression (p < 0.001). This study provides evidence for the interrelation between latent P. viticola infections and development of GDM epidemics under field conditions. This insight has substantive implications for the formulation of effective disease management strategies.

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Section: Discussionmentioning

confidence: 99%