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Phytopathogenic fungus hosts a plant virus: A naturally occurring cross-kingdom viral infection.

ABSTRACT: The transmission of viral infections between plant and fungal hosts has been suspected to occur, based on phylogenetic and other findings, but has not been directly observed in nature. Here, we report the discovery of a natural infection of the phytopathogenic fungus Rhizoctonia solani by a plant virus, cucumber mosaic virus (CMV). The CMV-infected R. solani strain was obtained from a potato plant growing in Inner Mongolia Province of China, and CMV infection was stable when this fungal strain was cultured in the laboratory. CMV was horizontally transmitted through hyphal anastomosis but not vertically through basidiospores. By inoculation via protoplast transfection with virions, a reference isolate of CMV replicated in R. solani and another phytopathogenic fungus, suggesting that some fungi can serve as alternative hosts to CMV. Importantly, in fungal inoculation experiments under laboratory conditions, R. solani could acquire CMV from an infected plant, as well as transmit the virus to an uninfected plant. This study presents evidence of the transfer of a virus between plant and fungus, and it further expands our understanding of plant-fungus interactions and the spread of plant viruses.

SUBMITTER: Andika IB

PROVIDER: S-EPMC5699089 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Phytopathogenic fungus hosts a plant virus: A naturally occurring cross-kingdom viral infection.

Andika Ida Bagus IB Wei Shuang S Cao Chunmei C Salaipeth Lakha L Kondo Hideki H Sun Liying L

Proceedings of the National Academy of Sciences of the United States of America 20171030 46

The transmission of viral infections between plant and fungal hosts has been suspected to occur, based on phylogenetic and other findings, but has not been directly observed in nature. Here, we report the discovery of a natural infection of the phytopathogenic fungus <i>Rhizoctonia solani</i> by a plant virus, cucumber mosaic virus (CMV). The CMV-infected <i>R. solani</i> strain was obtained from a potato plant growing in Inner Mongolia Province of China, and CMV infection was stable when this f ...[more]

PMID: 29087346

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Project description:Disease prediction tools improve management efforts for many plant diseases. Prediction and downstream prevention demand information about disease etiology, which can be complicated for some diseases, like those caused by soilborne microorganisms. Fortunately, the availability of machine learning methods has enabled researchers to elucidate complex relationships between hosts and pathogens without invoking difficult-to-satisfy assumptions. The etiology of a destructive plant disease, Verticillium wilt of mint, caused by the fungus Verticillium dahliae was reevaluated with several supervised machine learning methods. Specifically, the objective of this research was to identify drivers of wilt in commercial mint fields, describe the relationships between these drivers, and predict wilt. Soil samples were collected from commercial mint fields. Wilt foci, V. dahliae, and plant-parasitic nematodes that can exacerbate wilt were quantified. Multiple linear regression, a generalized additive model, random forest, and an artificial neural network were fit to the data, validated with 10-fold cross-validation, and measures of explanatory and predictive performance were compared. All models selected nematodes within the genus Pratylenchus as the most important predictor of wilt. The fungus after which this disease is named, V. dahliae, was the fourth most important predictor of wilt, after crop age and cultivar. All models explained around 50% of the total variation (R2 ≤ 0.46), and exhibited comparable predictive error (RMSE ≤ 1.21). Collectively, these models revealed that the quantitative relationships between two pathogens, mint cultivars and age are required to explain wilt. The ascendance of Pratylenchus spp. in predicting symptoms of a disease assumed to primarily be caused by V. dahliae exposes the underestimated contribution of these nematodes to wilt. This research provides a foundation on which predictive forecasting tools can be developed for mint growers and reminds us of the lessons that can be learned by revisiting assumptions about disease etiology.

Dataset Information

Phytopathogenic fungus hosts a plant virus: A naturally occurring cross-kingdom viral infection.

Publications

Phytopathogenic fungus hosts a plant virus: A naturally occurring cross-kingdom viral infection.

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