scholarly journals Development of LAMP-HRM for sensitive and specific detection of Phytophthora infestans

2015 ◽  
Author(s):  
Marcin Nowicki ◽  
Marzena Nowakowska ◽  
Małgorzata Wrzesińska ◽  
Elżbieta Kozik
Keyword(s):  
Late Blight ◽  
Phytophthora Infestans ◽  
Pathogen Detection ◽  
Diagnostic Methods ◽  
Analysis Time ◽  
Specific Detection ◽  
Tomato Plants ◽  
Realtime Pcr ◽  
Specific Pathogen

We developed the LAMP-HRM assay for detection of P. infestans in a RealTime PCR machine. Specific pathogen detection was achieved in the 18th minute of the reaction, which, in comparison with other diagnostic methods, shortens the analysis time. For instance, first late blight symptoms after inoculation of tomato plants with P. infestans are manifested only 4-5 dpi. We applied the downstream HRM analyses to estimate the variablility of 96 pathogen isolates, collected from symptomatic tomatoes all over Poland, in the years 2009-2012.

scholarly journals Efficiency of phylloplane bacteria in controlling aerial tomato diseases under field conditions

2008 ◽  
Vol 34 (1) ◽  
pp. 86-87 ◽  
Author(s):  
Bernardo A. Halfeld-Vieira ◽  
Reginaldo S. Romeiro ◽  
Ann Mounteer ◽  
Eduardo S.G. Mizubuti
Keyword(s):  
Late Blight ◽  
Bacillus Cereus ◽  
Phytophthora Infestans ◽  
Field Conditions ◽  
Water Control ◽  
Tomato Plants ◽  
Tomato Diseases

The capacity of two bacteria isolated from the tomato phylloplane to control late blight (Phytophthora infestans) was investigated in the field, and compared against the effectiveness of spraying with the fungicide chlorothalonil (1.5 g a.i. L-1) or water (control). A 55% reduction in late blight intensity was observed in the leaves of the middle of the plant and 62% in those of the upper leaves when using the antagonist UFV-STB 6 (Novosphingobium capsulatum) as compared to the control. Isolate UFV-IEA 6 (Bacillus cereus) was able to reduce disease intensity by 55%, but only in the upper leaves of the tomato plants. Treatment with isolate UFV-STB 6 also led to a significant reduction in the percentage of fruits with late blight symptoms. The results demonstrate the potential of these two bacteria in controlling this disease.

Enhanced defense responses of tomato plants against late blight pathogen Phytophthora infestans by pre-inoculation with rhizobacteria

2010 ◽  
Vol 29 (12) ◽  
pp. 1406-1412 ◽  
Author(s):  
Yongjun An ◽  
Seogchan Kang ◽  
Ki-Deok Kim ◽  
Byung KooK Hwang ◽  
Yongchull Jeun
Keyword(s):  
Late Blight ◽  
Phytophthora Infestans ◽  
Defense Responses ◽  
Tomato Plants ◽  
Late Blight Pathogen

scholarly journals Metabolomics of Solanum lycopersicum Infected with Phytophthora infestans Leads to Early Detection of Late Blight in Asymptomatic Plants

Molecules ◽  
2018 ◽  
Vol 23 (12) ◽  
pp. 3330 ◽  
Author(s):  
Paula Galeano Garcia ◽  
Fábio Neves dos Santos ◽  
Samantha Zanotta ◽  
Marcos Eberlin ◽  
Chiara Carazzone
Keyword(s):  
Mass Spectrometry ◽  
Data Analysis ◽  
Early Detection ◽  
Late Blight ◽  
Phytophthora Infestans ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Maldi Ms ◽  
Tomato Plants ◽  
Infected Tomato

Tomato crops suffer attacks of various pathogens that cause large production losses. Late blight caused by Phytophthora infestans is a devastating disease in tomatoes because of its difficultly to control. Here, we applied metabolomics based on liquid chromatography–mass spectrometry (LC-MS) and metabolic profiling by matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) in combination with multivariate data analysis in the early detection of late blight on asymptomatic tomato plants and to discriminate infection times of 4, 12, 24, 36, 48, 60, 72 and 96 h after inoculation (hpi). MALDI-MS and LC-MS profiles of metabolites combined with multivariate data analysis are able to detect early-late blight-infected tomato plants, and metabolomics based on LC-MS discriminates infection times in asymptomatic plants. We found the metabolite tomatidine as an important biomarker of infection, saponins as early infection metabolite markers and isocoumarin as early and late asymptomatic infection marker along the post infection time. MALDI-MS and LC-MS analysis can therefore be used as a rapid and effective method for the early detection of late blight-infected tomato plants, offering a suitable tool to guide the correct management and application of sanitary defense approaches. LC-MS analysis also appears to be a suitable tool for identifying major metabolites of asymptomatic late blight-infected tomato plants.

scholarly journals The Appearance of Metalaxyl-Resistant Isolates of Phytophthora infestans in Delaware

Plant Disease ◽  
1997 ◽  
Vol 81 (9) ◽  
pp. 1093-1093 ◽  
Author(s):  
M. Sedegui ◽  
R. B. Carroll ◽  
A. L. Morehart ◽  
R. P. Mulroony ◽  
J. M. Whalen
Keyword(s):  
Solanum Tuberosum ◽  
Late Blight ◽  
Phytophthora Infestans ◽  
Mating Type ◽  
Filter Paper ◽  
Mycelial Growth ◽  
Solanum Tuberosum L ◽  
Tomato Plants ◽  
Potato Foliage ◽  
Allozyme Loci

Prior to 1995, late blight of potatoes (Solanum tuberosum L.) caused by Phytophthora infestans (Mont.) de Bary had not been reported from Delaware for decades. In that year, the fungus was isolated from potato foliage collected from fields in the Dover area that sustained severe foliage loss due to the disease. To establish pathogenicity, potato and tomato plants grown in the greenhouse were inoculated with the isolates obtained and Koch's postulates were completed. Analyses to determine mating type, genotype at two allozyme loci (2), Gpi and Pep, and sensitivity to metalaxyl were also completed. Measurements were made every 5 days and EC50 values were calculated for radial mycelial growth on metalaxyl-amended agar, for leaflets inoculated with P. infestans floated in metalaxyl solutions, and for inoculated potato tuber disks deposited on filter paper saturated with metalaxyl (1). Isolates were pathogenic to potatoes and tomatoes, were A2 mating type with Gpi 100/111/122 and Pep 100/100 (same as US-8), and displayed resistance to metalaxyl up to 140 mg/l. References: (1) K. L. Deahl et al. Am. Potato J. 70:779, 1993. (2) S. B. Goodwin et al. Plant Dis. 79:1181, 1995.

Discerning strains of Phytophthora infestans the causative agent of potato late blight by SSCP analysis of virulence genes

2018 ◽  
Vol 34 (6) ◽  
pp. 4-11
Author(s):  
V.K. Chizhik ◽  
◽  
E.A. Sokolova ◽  
V.V. Martynov ◽  
M.A. Kuznetsova ◽  
...  
Keyword(s):  
Late Blight ◽  
Phytophthora Infestans ◽  
Causative Agent ◽  
Virulence Genes ◽  
Potato Late Blight ◽  
Sscp Analysis

Evaluation of bio-agents and neem based products against late blight disease (Phytophthora infestans) of potato

2021 ◽  
Vol 74 (1) ◽  
pp. 181-187
Author(s):  
Mehi Lal ◽  
Sorabh Chaudhary ◽  
Sanjay Rawal ◽  
Sanjeev Sharma ◽  
Manoj Kumar ◽  
...  
Keyword(s):  
Late Blight ◽  
Phytophthora Infestans ◽  
Late Blight Disease ◽  
Blight Disease

scholarly journals Clinical metagenomics assessments improve diagnosis and outcomes in community-acquired pneumonia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fei Xie ◽  
Zhimei Duan ◽  
Weiqi Zeng ◽  
Shumei Xie ◽  
Mingzhou Xie ◽  
...  
Keyword(s):  
Patient Outcomes ◽  
Clinical Management ◽  
Pathogen Detection ◽  
Community Acquired Pneumonia ◽  
Diagnostic Methods ◽  
Trial Registration ◽  
Clinical Trial Registry ◽  
Registration Number ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing

Abstract Background Identifying the causes of community-acquired pneumonia (CAP) is challenging due to the disease’s complex etiology and the limitations of traditional microbiological diagnostic methods. Recent advances in next generation sequencing (NGS)-based metagenomics allow pan-pathogen detection in a single assay, and may have significant advantages over culture-based techniques. Results We conducted a cohort study of 159 CAP patients to assess the diagnostic performance of a clinical metagenomics assay and its impact on clinical management and patient outcomes. When compared to other techniques, clinical metagenomics detected more pathogens in more CAP cases, and identified a substantial number of polymicrobial infections. Moreover, metagenomics results led to changes in or confirmation of clinical management in 35 of 59 cases; these 35 cases also had significantly improved patient outcomes. Conclusions Clinical metagenomics could be a valuable tool for the diagnosis and treatment of CAP. Trial registration Trial registration number with the Chinese Clinical Trial Registry: ChiCTR2100043628.

scholarly journals Identification of the Dominant Genotypes of Phytophthora infestans in Canada Using Real-Time PCR with ASO-PCR Assays

Plant Disease ◽  
2016 ◽  
Vol 100 (7) ◽  
pp. 1482-1491 ◽  
Author(s):  
Marie-Claude Gagnon ◽  
Lawrence Kawchuk ◽  
D. Mathieu Tremblay ◽  
Odile Carisse ◽  
Giovanna Danies ◽  
...  
Keyword(s):  
Late Blight ◽  
Phytophthora Infestans ◽  
Rapid Assessment ◽  
Nucleotide Polymorphisms ◽  
Blind Test ◽  
Phytophthora Spp ◽  
Allele Specific ◽  
Flanking Sequences ◽  
Pcr Assays ◽  
And Control

Phytophthora infestans, a pathogenic oomycete that is the causal agent of potato and tomato late blight, has devastating effects worldwide. The genetic composition of P. infestans populations in Canada has changed considerably over the last few years, with the appearance of several new genotypes showing different mating types and sensitivity to the fungicide metalaxyl. Genetic markers allowing for a rapid assessment of genotypes from small amounts of biological material would be beneficial for the early detection and control of this pathogen throughout Canada. Mining of the P. infestans genome revealed several regions containing single-nucleotide polymorphisms (SNP) within both nuclear genes and flanking sequences of microsatellite loci. Allele-specific oligonucleotide polymerase chain reaction (ASO-PCR) assays were developed from 14 of the 50 SNP found by sequencing. Nine optimized ASO-PCR assays were validated using a blind test comprising P. infestans and other Phytophthora spp. The assays revealed diagnostic profiles unique to each of the five dominant genotypes present in Canada. The markers developed in this study can be used with environmental samples such as infected leaves, and will contribute to the genomic toolbox available to assess the genetic diversity of P. infestans at the intraspecific level. For late blight management, early warning about P. infestans genotypes present in potato and tomato fields will help growers select the most appropriate fungicides and application strategies.

scholarly journals Modeling of Yield Losses Caused by Potato Late Blight on Eight Cultivars with Different Levels of Resistance to Phytophthora infestans

Plant Disease ◽  
2012 ◽  
Vol 96 (7) ◽  
pp. 935-942 ◽  
Author(s):  
Toky Rakotonindraina ◽  
Jean-Éric Chauvin ◽  
Roland Pellé ◽  
Robert Faivre ◽  
Catherine Chatot ◽  
...  
Keyword(s):  
Late Blight ◽  
Phytophthora Infestans ◽  
Relative Yield ◽  
Weather Conditions ◽  
Potato Late Blight ◽  
Yield Losses ◽  
Predictive Quality ◽  
Wide Range ◽  
Cultivar Susceptibility

The Shtienberg model for predicting yield loss caused by Phytophthora infestans in potato was developed and parameterized in the 1990s in North America. The predictive quality of this model was evaluated in France for a wide range of epidemics under different soil and weather conditions and on cultivars different than those used to estimate its parameters. A field experiment was carried out in 2006, 2007, 2008, and 2009 in Brittany, western France to assess late blight severity and yield losses. The dynamics of late blight were monitored on eight cultivars with varying types and levels of resistance. The model correctly predicted relative yield losses (efficiency = 0.80, root mean square error of prediction = 13.25%, and bias = –0.36%) as a function of weather and the observed disease dynamics for a wide range of late blight epidemics. In addition to the evaluation of the predictive quality of the model, this article provides a dataset that describes the development of various late blight epidemics on potato as a function of weather conditions, fungicide regimes, and cultivar susceptibility. Following this evaluation, the Shtienberg model can be used with confidence in research and development programs to better manage potato late blight in France.

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