scholarly journals The Age of Effectors: Genome-Based Discovery and Applications

2016 ◽  
Vol 106 (10) ◽  
pp. 1206-1212 ◽  
Author(s):  
Hesham A. Y. Gibriel ◽  
Bart P. H. J. Thomma ◽  
Michael F. Seidl
Keyword(s):  
Plant Pathogen ◽  
Plant Pathogens ◽  
Gene Annotation ◽  
Functional Characterization ◽  
Resistance Breeding ◽  
Infection Process ◽  
Microbial Pathogens ◽  
Global Food Security ◽  
Pathogen Effector ◽  
Pathogen Populations

Microbial pathogens cause devastating diseases on economically and ecologically important plant species, threatening global food security, and causing billions of dollars of losses annually. During the infection process, pathogens secrete so-called effectors that support host colonization, often by deregulating host immune responses. Over the last decades, much of the research on molecular plant-microbe interactions has focused on the identification and functional characterization of such effectors. The increasing availability of sequenced plant pathogen genomes has enabled genomics-based discovery of effector candidates. Nevertheless, identification of full plant pathogen effector repertoires is often hampered by erroneous gene annotation and the localization effector genes in genomic regions that are notoriously difficult to assemble. Here, we argue that recent advances in genome sequencing technologies, genome assembly, gene annotation, as well as effector identification methods hold promise to disclose complete and correct effector repertoires. This allows to exploit complete effector repertoires, and knowledge of their diversity within pathogen populations, to develop durable and sustainable resistance breeding strategies, disease control, and management of plant pathogens.

scholarly journals Effectors as Tools in Disease Resistance Breeding Against Biotrophic, Hemibiotrophic, and Necrotrophic Plant Pathogens

2014 ◽  
Vol 27 (3) ◽  
pp. 196-206 ◽  
Author(s):  
Vivianne G. A. A. Vleeshouwers ◽  
Richard P. Oliver
Keyword(s):  
Fungicide Resistance ◽  
Plant Pathogens ◽  
Functional Characterization ◽  
Resistance Breeding ◽  
World Population ◽  
Breeding Programs ◽  
Genome Wide ◽  
Disease Resistance Breeding ◽  
Pathogen Populations ◽  
New Strategies

One of most important challenges in plant breeding is improving resistance to the plethora of pathogens that threaten our crops. The ever-growing world population, changing pathogen populations, and fungicide resistance issues have increased the urgency of this task. In addition to a vital inflow of novel resistance sources into breeding programs, the functional characterization and deployment of resistance also needs improvement. Therefore, plant breeders need to adopt new strategies and techniques. In modern resistance breeding, effectors are emerging as tools to accelerate and improve the identification, functional characterization, and deployment of resistance genes. Since genome-wide catalogues of effectors have become available for various pathogens, including biotrophs as well as necrotrophs, effector-assisted breeding has been shown to be successful for various crops. “Effectoromics” has contributed to classical resistance breeding as well as for genetically modified approaches. Here, we present an overview of how effector-assisted breeding and deployment is being exploited for various pathosystems.

scholarly journals At Least Two Origins of Fungicide Resistance in Grapevine Downy Mildew Populations

2007 ◽  
Vol 73 (16) ◽  
pp. 5162-5172 ◽  
Author(s):  
Wei-Jen Chen ◽  
François Delmotte ◽  
Sylvie Richard Cervera ◽  
Lisette Douence ◽  
Charles Greif ◽  
...  
Keyword(s):  
Plant Pathogen ◽  
Fungicide Resistance ◽  
Fungal Pathogens ◽  
Plant Pathogens ◽  
Plasmopara Viticola ◽  
Isolated Populations ◽  
Grapevine Downy Mildew ◽  
First Case ◽  
Wide Range ◽  
Pathogen Populations

ABSTRACT Quinone outside inhibiting (QoI) fungicides represent one of the most widely used groups of fungicides used to control agriculturally important fungal pathogens. They inhibit the cytochrome bc 1 complex of mitochondrial respiration. Soon after their introduction onto the market in 1996, QoI fungicide-resistant isolates were detected in field plant pathogen populations of a large range of species. However, there is still little understanding of the processes driving the development of QoI fungicide resistance in plant pathogens. In particular, it is unknown whether fungicide resistance occurs independently in isolated populations or if it appears once and then spreads globally by migration. Here, we provide the first case study of the evolutionary processes that lead to the emergence of QoI fungicide resistance in the plant pathogen Plasmopara viticola. Sequence analysis of the complete cytochrome b gene showed that all resistant isolates carried a mutation resulting in the replacement of glycine by alanine at codon 143 (G143A). Phylogenetic analysis of a large mitochondrial DNA fragment including the cytochrome b gene (2,281 bp) across a wide range of European P. viticola isolates allowed the detection of four major haplotypes belonging to two distinct clades, each of which contains a different QoI fungicide resistance allele. This is the first demonstration that a selected substitution conferring resistance to a fungicide has occurred several times in a plant-pathogen system. Finally, a high population structure was found when the frequency of QoI fungicide resistance haplotypes was assessed in 17 French vineyards, indicating that pathogen populations might be under strong directional selection for local adaptation to fungicide pressure.

scholarly journals Microbial threat– a growing challenge for plant biosecurity

2012 ◽  
Vol 33 (1) ◽  
pp. 12 ◽  
Author(s):  
Simon McKirdy ◽  
Brendan Rodoni ◽  
Jane Moran ◽  
Shashi Sharma
Keyword(s):  
Plant Pathogens ◽  
Market Access ◽  
Health And Safety ◽  
Production Costs ◽  
Microbial Pathogens ◽  
Global Food Security ◽  
Travel And Tourism ◽  
Increasing Risk ◽  
Global Food ◽  
Lower Production

Australia is relatively free from many of the plant pathogens that seriously impact on agricultural production and natural environment in other countries. This provides a valuable competitive advantage for Australia?s plant industries in terms of securing market access and maintaining lower production costs. The increasing growth in global trade, travel and tourism is exposing Australia?s plant industries and environment to ever-increasing risk of exotic microbial pathogens. At risk are approximately $14 billion per annum in crop exports, the environment and its associated tourism, the sustainability of regional communities with plant industries contributing approximately $25 billion annually, and indirectly animal and human health and safety. In addition, biosecurity threats are recognised as a serious risk to global food security.

scholarly journals Accurate plant pathogen effector protein classification ab initio with deepredeff: an ensemble of convolutional neural networks

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Ruth Kristianingsih ◽  
Dan MacLean
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Convolutional Neural Networks ◽  
Plant Pathogens ◽  
De Novo ◽  
Chemical Properties ◽  
Effector Proteins ◽  
Global Food Security ◽  
Pathogen Effector ◽  
Biological Insight

Abstract Background Plant pathogens cause billions of dollars of crop loss every year and are a major threat to global food security. Effector proteins are the tools such pathogens use to infect the cell, predicting effectors de novo from sequence is difficult because of the heterogeneity of the sequences. We hypothesised that deep learning classifiers based on Convolutional Neural Networks would be able to identify effectors and deliver new insights. Results We created a training set of manually curated effector sequences from PHI-Base and used these to train a range of model architectures for classifying bacteria, fungal and oomycete sequences. The best performing classifiers had accuracies from 93 to 84%. The models were tested against popular effector detection software on our own test data and data provided with those models. We observed better performance from our models. Specifically our models showed greater accuracy and lower tendencies to call false positives on a secreted protein negative test set and a greater generalisability. We used GRAD-CAM activation map analysis to identify the sequences that activated our CNN-LSTM models and found short but distinct N-terminal regions in each taxon that was indicative of effector sequences. No motifs could be observed in these regions but an analysis of amino acid types indicated differing patterns of enrichment and depletion that varied between taxa. Conclusions Small training sets can be used effectively to train highly accurate and sensitive deep learning models without need for the operator to know anything other than sequence and without arbitrary decisions made about what sequence features or physico-chemical properties are important. Biological insight on subsequences important for classification can be achieved by examining the activations in the model

scholarly journals Trick or Treat: Microbial Pathogens Evolved Apoplastic Effectors Modulating Plant Susceptibility to Infection

2018 ◽  
Vol 31 (1) ◽  
pp. 6-12 ◽  
Author(s):  
Yan Wang ◽  
Yuanchao Wang
Keyword(s):  
Immune Responses ◽  
Plant Pathogen ◽  
Plant Pathogens ◽  
Plant Cell Wall ◽  
Effector Proteins ◽  
Microbial Pathogens ◽  
Susceptibility To Infection ◽  
Plant Pathogen Interactions ◽  
Harsh Conditions ◽  
Plant Susceptibility

The apoplastic space between the plant cell wall and the plasma membrane constitutes a major battleground for plant-pathogen interactions. To survive in harsh conditions in the plant apoplast, pathogens must cope with various immune responses. During infection, plant pathogens secrete an arsenal of effector proteins into the apoplast milieu, some of which are detected by the plant surveillance system and, thus, activate plant innate immunity. Effectors that evade plant perception act in modulating plant apoplast immunity to favor successful pathogen infection. The concerted actions of apoplastic effectors often determine the outcomes of plant-pathogen interactions. In this review, we summarize current advances on the understanding of apoplastic effectors and highlight the strategies employed by pathogens to counter host apoplastic defense.

scholarly journals Accurate plant pathogen effector protein classification ab initio with deepredeff, an ensemble of convolutional neural networks

2020 ◽  
Author(s):  
Ruth Kristianingsih ◽  
Dan MacLean
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Plant Pathogens ◽  
De Novo ◽  
R Package ◽  
Effector Proteins ◽  
Global Food Security ◽  
Pathogen Effector ◽  
Detection Software ◽  
Map Analysis

Plant pathogens cause billions of dollars of crop loss every year and are a major threat to global food security. Effector proteins are the tools such pathogens use to infect the cell, predicting effectors de novo from sequence is difficult because of the heterogeneity of the sequences. We hypothesised that deep learning classifiers based on Convolutional Neural Networks would be able to identify effectors and deliver new insights. We built a training set of manually curated effector sequences from PHI-Base and used these to train a range of model architectures for classifying bacteria, fungal and oomycete sequences. The best performing classifiers had accuracies from 93 % to 84 %. The models were tested against popular effector detection software on our own test data and data provided with those models. We observed better performance from our models. Specifically our models showed greater accuracy and lower tendencies to call false positives on a secreted protein negative test set and a greater generalisability. We used GRAD-CAM activation map analysis to identify the sequences that activated our CNN-LSTM models and found short but distinct N-terminal regions in each taxon that was indicative of effector sequences. No motifs could be observed in these regions but an analysis of amino acid types indicated differing patterns of enrichment and depletion that varied between taxa. We have produced an R package that will allow others to make easy effector predictions using our models.

CRISPR/Cas9 for development of disease resistance in plants: recent progress, limitations and future prospects

2020 ◽  
Vol 19 (1) ◽  
pp. 26-39 ◽  
Author(s):  
Shakeel Ahmad ◽  
Xiangjin Wei ◽  
Zhonghua Sheng ◽  
Peisong Hu ◽  
Shaoqing Tang
Keyword(s):  
Disease Resistance ◽  
Plant Disease Resistance ◽  
Genetic Improvement ◽  
Plant Disease ◽  
Plant Pathogens ◽  
Crop Improvement ◽  
Resistance Breeding ◽  
Conventional Breeding ◽  
Global Food Security ◽  
Genome Modifications

Abstract Several plant pathogens severely affect crop yield and quality, thereby threatening global food security. In order to cope with this challenge, genetic improvement of plant disease resistance is required for sustainable agricultural production, for which conventional breeding is unlikely to do enough. Luckily, genome editing systems that particularly clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein 9 (CRISPR/Cas9) has revolutionized crop improvement by enabling robust and precise targeted genome modifications. It paves the way towards new methods for genetic improvement of plant disease resistance and accelerates resistance breeding. In this review, the challenges, limitations and prospects for conventional breeding and the applications of CRISPR/Cas9 system for the development of transgene-free disease-resistant crops are discussed.

scholarly journals Synergistic dispersal of plant pathogen spores by jumping-droplet condensation and wind

2021 ◽  
Vol 118 (34) ◽  
pp. e2106938118
Author(s):  
Ranit Mukherjee ◽  
Hope A. Gruszewski ◽  
Landon T. Bilyeu ◽  
David G. Schmale ◽  
Jonathan B. Boreyko
Keyword(s):  
Plant Pathogen ◽  
Plant Pathogens ◽  
Fungal Spores ◽  
Infected Leaf ◽  
Global Food Security ◽  
Single Leaf ◽  
New Information ◽  
Wheat Leaves ◽  
Rain Splash ◽  
Disease Epidemics

Plant pathogens are responsible for the annual yield loss of crops worldwide and pose a significant threat to global food security. A necessary prelude to many plant disease epidemics is the short-range dispersal of spores, which may generate several disease foci within a field. New information is needed on the mechanisms of plant pathogen spread within and among susceptible plants. Here, we show that self-propelled jumping dew droplets, working synergistically with low wind flow, can propel spores of a fungal plant pathogen (wheat leaf rust) beyond the quiescent boundary layer and disperse them onto neighboring leaves downwind. An array of horizontal water-sensitive papers was used to mimic healthy wheat leaves and showed that up to 25 spores/h may be deposited on a single leaf downwind of the infected leaf during a single dew cycle. These findings reveal that a single dew cycle can disperse copious numbers of fungal spores to other wheat plants, even in the absence of rain splash or strong gusts of wind.

scholarly journals Negative Autogenous Control of the Master Type III Secretion System Regulator HrpL in Pseudomonas syringae

mBio ◽  
2017 ◽  
Vol 8 (1) ◽  
Author(s):  
Christopher Waite ◽  
Jörg Schumacher ◽  
Milija Jovanovic ◽  
Mark Bennett ◽  
Martin Buck
Keyword(s):  
Pseudomonas Syringae ◽  
Plant Pathogen ◽  
Pathogenic Bacteria ◽  
Plant Pathogens ◽  
Plant Defenses ◽  
Management Strategies ◽  
Microbial Pathogens ◽  
Defense Signaling ◽  
Autogenous Control ◽  
United Nations Food

ABSTRACT The type III secretion system (T3SS) is a principal virulence determinant of the model bacterial plant pathogen Pseudomonas syringae. T3SS effector proteins inhibit plant defense signaling pathways in susceptible hosts and elicit evolved immunity in resistant plants. The extracytoplasmic function sigma factor HrpL coordinates the expression of most T3SS genes. Transcription of hrpL is dependent on sigma-54 and the codependent enhancer binding proteins HrpR and HrpS for hrpL promoter activation. hrpL is oriented adjacently to and divergently from the HrpL-dependent gene hrpJ, sharing an intergenic upstream regulatory region. We show that association of the RNA polymerase (RNAP)-HrpL complex with the hrpJ promoter element imposes negative autogenous control on hrpL transcription in P. syringae pv. tomato DC3000. The hrpL promoter was upregulated in a ΔhrpL mutant and was repressed by plasmid-borne hrpL. In a minimal Escherichia coli background, the activity of HrpL was sufficient to achieve repression of reconstituted hrpL transcription. This repression was relieved if both the HrpL DNA-binding function and the hrp-box sequence of the hrpJ promoter were compromised, implying dependence upon the hrpJ promoter. DNA-bound RNAP-HrpL entirely occluded the HrpRS and partially occluded the integration host factor (IHF) recognition elements of the hrpL promoter in vitro, implicating inhibition of DNA binding by these factors as a cause of negative autogenous control. A modest increase in the HrpL concentration caused hypersecretion of the HrpA1 pilus protein but intracellular accumulation of later T3SS substrates. We argue that negative feedback on HrpL activity fine-tunes expression of the T3SS regulon to minimize the elicitation of plant defenses. IMPORTANCE The United Nations Food and Agriculture Organization has warned that agriculture will need to satisfy a 50% to 70% increase in global food demand if the human population reaches 9 billion by 2050 as predicted. However, diseases caused by microbial pathogens represent a major threat to food security, accounting for over 10% of estimated yield losses in staple wheat, rice, and maize crops. Understanding the decision-making strategies employed by pathogens to coordinate virulence and to evade plant defenses is vital for informing crop resistance traits and management strategies. Many plant-pathogenic bacteria utilize the needle-like T3SS to inject virulence factors into host plant cells to suppress defense signaling. Pseudomonas syringae is an economically and environmentally devastating plant pathogen. We propose that the master regulator of its entire T3SS gene set, HrpL, downregulates its own expression to minimize elicitation of plant defenses. Revealing such conserved regulatory strategies will inform future antivirulence strategies targeting plant pathogens. The United Nations Food and Agriculture Organization has warned that agriculture will need to satisfy a 50% to 70% increase in global food demand if the human population reaches 9 billion by 2050 as predicted. However, diseases caused by microbial pathogens represent a major threat to food security, accounting for over 10% of estimated yield losses in staple wheat, rice, and maize crops. Understanding the decision-making strategies employed by pathogens to coordinate virulence and to evade plant defenses is vital for informing crop resistance traits and management strategies. Many plant-pathogenic bacteria utilize the needle-like T3SS to inject virulence factors into host plant cells to suppress defense signaling. Pseudomonas syringae is an economically and environmentally devastating plant pathogen. We propose that the master regulator of its entire T3SS gene set, HrpL, downregulates its own expression to minimize elicitation of plant defenses. Revealing such conserved regulatory strategies will inform future antivirulence strategies targeting plant pathogens.

Studies on the EC50 of Natural Monoterpenes as Fungal Inhibitors with Quantitative Structure-Activity Relationships (QSARs)

2020 ◽  
Vol 10 (1) ◽  
pp. 44-60
Author(s):  
Mohamed E.I. Badawy ◽  
Entsar I. Rabea ◽  
Samir A.M. Abdelgaleil
Keyword(s):  
Biological Activity ◽  
Plant Pathogens ◽  
Molecular Descriptors ◽  
Microbial Pathogens ◽  
Quantitative Structure ◽  
Qsar Study ◽  
Qsar Analysis ◽  
Pharmacophore Modelling ◽  
Structure Activity ◽  
Wide Range

Background:Monoterpenes are the main constituents of the essential oils obtained from plants. These natural products offered wide spectra of biological activity and extensively tested against microbial pathogens and other agricultural pests.Methods:Antifungal activity of 10 monoterpenes, including two hydrocarbons (camphene and (S)- limonene) and eight oxygenated hydrocarbons ((R)-camphor, (R)-carvone, (S)-fenchone, geraniol, (R)-linalool, (+)-menthol, menthone, and thymol), was determined against fungi of Alternaria alternata, Botrytis cinerea, Botryodiplodia theobromae, Fusarium graminearum, Phoma exigua, Phytophthora infestans, and Sclerotinia sclerotiorum by the mycelia radial growth technique. Subsequently, Quantitative Structure-Activity Relationship (QSAR) analysis using different molecular descriptors with multiple regression analysis based on systematic search and LOOCV technique was performed. Moreover, pharmacophore modelling was carried out using LigandScout software to evaluate the common features essential for the activity and the hypothetical geometries adopted by these ligands in their most active forms.Results:The results showed that the antifungal activities were high, but depended on the chemical structure and the type of microorganism. Thymol showed the highest effect against all fungi tested with respective EC50 in the range of 10-86 mg/L. The QSAR study proved that the molecular descriptors HBA, MR, Pz, tPSA, and Vp were correlated positively with the biological activity in all of the best models with a correlation coefficient (r) ≥ 0.98 and cross-validated values (Q2) ≥ 0.77.Conclusion:The results of this work offer the opportunity to choose monoterpenes with preferential antimicrobial activity against a wide range of plant pathogens.

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