Results 1 to 10 of about 1,302 (187)

Genome sequence and effectorome of Moniliophthora perniciosa and Moniliophthora roreri subpopulations [PDF]

open access: yesBMC Genomics, 2018
Background The hemibiotrophic pathogens Moniliophthora perniciosa (witches’ broom disease) and Moniliophthora roreri (frosty pod rot disease) are among the most important pathogens of cacao.
Ceslaine Santos Barbosa   +13 more
doaj   +20 more sources

Unveiling molecular mechanisms of strobilurin resistance in the cacao pathogen Moniliophthora perniciosa [PDF]

open access: yesiScience
Summary: Strobilurin fungicides inhibit mitochondrial respiration, leading to ATP depletion and oxidative stress. Although widely used in agriculture, these chemicals are ineffective against the cacao pathogen Moniliophthora perniciosa.
Paula F.V. Prado   +7 more
doaj   +7 more sources

A genome survey of Moniliophthora perniciosa gives new insights into Witches' Broom Disease of cacao [PDF]

open access: yesBMC Genomics, 2008
Background The basidiomycete fungus Moniliophthora perniciosa is the causal agent of Witches' Broom Disease (WBD) in cacao (Theobroma cacao). It is a hemibiotrophic pathogen that colonizes the apoplast of cacao's meristematic tissues as a biotrophic ...
Bailey Bryan A   +29 more
doaj   +5 more sources

Analysis of the ergosterol biosynthesis pathway cloning, molecular characterization and phylogeny of lanosterol 14α-demethylase (ERG11) gene of Moniliophthora perniciosa [PDF]

open access: yesGenetics and Molecular Biology, 2014
The phytopathogenic fungus Moniliophthora perniciosa (Stahel) Aime & Philips-Mora, causal agent of witches' broom disease of cocoa, causes countless damage to cocoa production in Brazil.
Geruza de Oliveira Ceita   +10 more
doaj   +4 more sources

Proteomic analysis during of spore germination of Moniliophthora perniciosa, the causal agent of witches’ broom disease in cacao [PDF]

open access: yesBMC Microbiology, 2017
Background Moniliophthora perniciosa is a phytopathogenic fungus responsible for witches’ broom disease of cacao trees (Theobroma cacao L.). Understanding the molecular events during germination of the pathogen may enable the development of strategies ...
Joise Hander Mares   +7 more
doaj   +2 more sources

Chemical Diversity of Three Endophytic Talaromyces Strains and Their Potential for Biocontrol against the Cocoa Pathogenic Fungus. [PDF]

open access: yesChem Biodivers
Chemical profiling of endophytic Talaromyces strains reveals specialized metabolites with agricultural relevance, underscoring their potential application in the biocontrol of cocoa plant pathogens. ABSTRACT Biological control using beneficial endophytic fungi is a sustainable alternative to agrochemicals for managing plant diseases.
Pereira CLS   +5 more
europepmc   +2 more sources

Crystal Structure of MpPR-1i, a SCP/TAPS protein from Moniliophthora perniciosa, the fungus that causes Witches’ Broom Disease of Cacao [PDF]

open access: yesScientific Reports, 2017
The pathogenic fungi Moniliophthora perniciosa causes Witches’ Broom Disease (WBD) of cacao. The structure of MpPR-1i, a protein expressed by M. perniciosa when it infects cacao, are presented.
Renata M. Baroni   +7 more
doaj   +2 more sources

The pathogen Moniliophthora perniciosa promotes differential proteomic modulation of cacao genotypes with contrasting resistance to witches´ broom disease [PDF]

open access: yesBMC Plant Biology, 2020
Background Witches’ broom disease (WBD) of cacao (Theobroma cacao L.), caused by Moniliophthora perniciosa, is the most important limiting factor for the cacao production in Brazil. Hence, the development of cacao genotypes with durable resistance is the
Everton Cruz dos Santos   +4 more
doaj   +2 more sources

Improving computer vision for plant pathology through advanced training techniques. [PDF]

open access: yesAppl Plant Sci
Abstract Premise This study investigates advanced training techniques to improve the performance of convolutional neural networks for disease detection in cocoa, Theobroma cacao. Methods Despite recent stagnation in accuracy improvements in computer vision for image classification, our research demonstrates significant advancements in performance ...
Sykes JR, Denby KJ, Franks DW.
europepmc   +2 more sources

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