18 research outputs found

    Trachoma in Viet Nam: results of 11 surveillance surveys conducted with the Global Trachoma Mapping Project.

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    PURPOSE: Following interventions against trachoma in Viet Nam, impact surveys conducted in 2003-2011 suggested that trachoma was no longer a public health problem. In 2014, we undertook surveillance surveys to estimate prevalence of trachomatous inflammation-follicular (TF) and trichiasis. METHODS: A population-based prevalence survey was undertaken in 11 evaluation units (EUs) encompassing 24 districts, using Global Trachoma Mapping Project methods. A two-stage cluster sampling design was used in each EU, whereby 20 clusters and 60 children per cluster were sampled. Consenting eligible participants (children aged 1-9 years and adults aged ≥50 years) were examined for trachoma. RESULTS: A total of 9391 households were surveyed, and 20,185 participants (98.8% of those enumerated) were examined for trachoma. EU-level TF prevalence in 1-9-year-olds ranged from 0% to 1.6%. In one cluster (in Hà Giang Province), the percentage of children with TF was 10.3%. The overall pattern of cluster-level percentages of children with TF, however, was consistent with an exponential distribution, which would be consistent with trachoma disappearing. Among people aged ≥50 years, prevalence of trichiasis by EU ranged from 0% to 0.75%; these estimates are equivalent to 0-0.13% in all ages. The prevalence of trichiasis unknown to the health system among people aged ≥50 years, by EU, ranged from 0% to 0.17%, which is equivalent to 0-0.03% in all ages. CONCLUSION: Findings suggest that trachoma is no longer a public health problem in any of the 11 EUs surveyed. However, given the high proportion of children with TF in one cluster in Hà Giang Province, further investigations will be undertaken

    Population biology of Verticillium dahliae in potato and mint

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    Verticillium dahliae (Vd) causes Verticillium wilt of potato and mint and both crops can be rotated in the same fields of the Columbia Basin in the Pacific Northwest. Inoculum of Vd can be found in dirt associated with certified potato seed which is imported and planted on a large scale. The incidence and impact of Vd in dirt associated with certified seed tubers on Verticillium wilt and yield was quantified. Most seed lots contained Vd-infested dirt on seed tubers (68%) and in loose dirt associated with seed lot transport (82%). High Vd levels in seed tuber dirt resulted in greater stem sap colonization when Vd levels in field soil was low (P<0.01) and resulted in greater pathogen levels in postharvest field soils (P=0.04). Infested dirt on seed tubers may introduce Vd into production fields and long-term management requires reducing these propagules. Isolates of Vd from mint and potato usually belong to different vegetative compatibility groups (VCGs) which may restrict gene flow and cause genetic differentiation between populations infecting these hosts. Mating-types and microsatellite haplotypes were determined for 286 Vd isolates from mint, potato, and other hosts and substrates. All potato and mint isolates possessed MAT1-2. Genotypic diversity was significantly greater among potato compared to mint isolates. Isolates from mint and potato were significantly genetically diverged. Significant genetic differentiation was not observed between VCG4A and 4B from potato. Overall, Vd populations from mint and potato fit a clonal reproduction model and populations from these hosts are genetically distinct. Potato early dying (PED) can be caused by Vd and pectolytic bacteria in the genus Pectobacterium, which can also cause aerial stem rot of potato. Additive or synergistic interactions between Vd and Pectobacterium may increase disease severity. Symptoms were evaluated in the greenhouse and pathogens were quantified in stems using real-time PCR. PED symptoms caused by P. carotovorum subsp. carotovorum isolate Ec101 or Vd alone were similar. Inoculations with P. wasabiae isolate PwO405 caused aerial stem rot symptoms and high levels of bacteria were observed in stems. Additive or synergistic effects were not observed in plants co-inoculated with Vd and either Pectobacterium isolate

    Verticillium Wilt of Skullcap and Potential for Pathogen Dissemination via Seeds and Stems

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    A commercial skullcap (Scutellaria lateriflora, family Lamiaceae) crop with wilted and necrotic plants was examined in Washington State in 2008. Three fungal isolates were obtained and identified as Verticillium dahliae based on morphology and sequencing of the internal transcribed spacer DNA region. All three skullcap isolates caused typical Verticillium wilt symptoms on skullcap and two peppermint cultivars. Inoculations of skullcap with the V. dahliae isolates from skullcap and an isolate from peppermint resulted in severe symptoms and a 21 to 78% reduction in aboveground biomass. Isolates from skullcap caused severe symptoms on the susceptible peppermint ‘Black Mitcham’ and reduced yield by up to 82%. One skullcap isolate caused severe symptoms on the moderately resistant ‘Redefined Murray’ in three of four trials and reduced biomass up to 71% compared with noninoculated control plants. The pathogen was recovered from 43 to 69% of skullcap stems from plants inoculated with skullcap or peppermint isolates, and was isolated from 2.5% of seed harvested from skullcap plants inoculated with the peppermint isolate of V. dahliae. This is the first report of V. dahliae infecting skullcap, and the first demonstration of V. dahliae isolates from skullcap and peppermint causing symptoms on both hosts, as well as the seedborne nature of V. dahliae in skullcap

    Evidence of a trans-kingdom plant disease complex between a fungus and plant-parasitic nematodes.

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    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
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