Spatiotemporal Detection of the Cranberry False Blossom Disease-Associated Phytoplasma

Infection of cranberry by the 16SrIII-Y group phytoplasma responsible for cranberry false blossom disease results in floral disfigurement, fruit abortion, and phyllody, ultimately sterilizing infected plants. The pathogen almost devastated the cranberry industry in the 1930s, until control measures involving resistant cultivars and insect vector management were implemented. Recent discoveries of the pathogen and its vector in Wisconsin have renewed interest in exploring the pathosystem to gain deeper insights into host-pathogen interactions. A qPCR assay was used to detect phytoplasma infection, both spatially and temporally, in both symptomatic and asymptomatic cranberry plants. Dissection of infected vines by tissue type allowed for detection of the phytoplasma throughout the entirety of the plant, revealing the systemic nature of the infection in cranberry vines. Furthermore, sampling throughout the growing season demonstrated that phytoplasma detection is possible at multiple time points, suggesting that diagnosis may be feasible even in the absence of clear symptoms such as flower abnormalities, thereby enhancing diagnostic capabilities. Additionally, the qPCR method proved effective in detecting the causal agent within the insect vector, the blunt-nosed leafhopper. Phytoplasma acquisition occurs during feeding, followed by colonization of various organs of the insect and ultimately infection of salivary glands, making transmission possible. Although the rate of colonization of both the plant and insect hosts is unknown, these findings provide valuable insights for industry decision-making for control and detection, as well as expand the understanding of a returning threat.

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Publication Details

Journal
Phytopathology
Published
2025-08-20
DOI
https://doi.org/10.1094/phyto-10-24-0306-r
Primary Topic
Phytoplasmas and Hemiptera pathogens
Type
article
Field-Weighted Citation Impact
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article

Spatiotemporal Detection of the Cranberry False Blossom Disease-Associated Phytoplasma

Leslie A. Holland, Christelle Guédot, Eithan A. Pozas‐Rodríguez, Fabian Rodriguez Bonilla et al.
Phytopathology
Phytoplasmas and Hemiptera pathogens
article

Spatiotemporal Detection of the Cranberry False Blossom Disease-Associated Phytoplasma

Leslie A. Holland, Christelle Guédot, Eithan A. Pozas‐Rodríguez, Fabian Rodriguez Bonilla, Casey Trickle
article en

Abstract

Infection of cranberry by the 16SrIII-Y group phytoplasma responsible for cranberry false blossom disease results in floral disfigurement, fruit abortion, and phyllody, ultimately sterilizing infected plants. The pathogen almost devastated the cranberry industry in the 1930s, until control measures involving resistant cultivars and insect vector management were implemented. Recent discoveries of the pathogen and its vector in Wisconsin have renewed interest in exploring the pathosystem to gain deeper insights into host-pathogen interactions. A qPCR assay was used to detect phytoplasma infection, both spatially and temporally, in both symptomatic and asymptomatic cranberry plants. Dissection of infected vines by tissue type allowed for detection of the phytoplasma throughout the entirety of the plant, revealing the systemic nature of the infection in cranberry vines. Furthermore, sampling throughout the growing season demonstrated that phytoplasma detection is possible at multiple time points, suggesting that diagnosis may be feasible even in the absence of clear symptoms such as flower abnormalities, thereby enhancing diagnostic capabilities. Additionally, the qPCR method proved effective in detecting the causal agent within the insect vector, the blunt-nosed leafhopper. Phytoplasma acquisition occurs during feeding, followed by colonization of various organs of the insect and ultimately infection of salivary glands, making transmission possible. Although the rate of colonization of both the plant and insect hosts is unknown, these findings provide valuable insights for industry decision-making for control and detection, as well as expand the understanding of a returning threat.

PhytopathologyVol. 115(12)
University of Wisconsin System (US), University of Wisconsin–Madison (US), Université Bourgogne Franche-Comté (FR)
Openalex Percentile: Top 84%
Phytoplasmas and Hemiptera pathogens
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