Project description:Fungal plant-pathogens promote infection of their hosts through the release of 'effectors'-a broad class of cytotoxic or virulence-promoting molecules. Effectors may be recognised by resistance or sensitivity receptors in the host, which can determine disease outcomes. Accurate prediction of effectors remains a major challenge in plant pathology, but if achieved will facilitate rapid improvements to host disease resistance. This study presents a novel tool and pipeline for the ranking of predicted effector candidates-Predector-which interfaces with multiple software tools and methods, aggregates disparate features that are relevant to fungal effector proteins, and applies a pairwise learning to rank approach. Predector outperformed a typical combination of secretion and effector prediction methods in terms of ranking performance when applied to a curated set of confirmed effectors derived from multiple species. We present Predector ( https://github.com/ccdmb/predector ) as a useful tool for the ranking of predicted effector candidates, which also aggregates and reports additional supporting information relevant to effector and secretome prediction in a simple, efficient, and reproducible manner.
Project description:In previous work, we experimentally demonstrated the possibility of using RNA aptamers to inhibit endogenous protein expression and their function within plant cells In the current work, we show that our proposed method is suitable for inhibiting the functions of exogenous, foreign proteins delivered into the plant via various mechanisms, including pathogen proteins. Stringent experimentation produced robust RNA aptamers that are able to bind to the recombinant HopU1 effector protein of P. syringae bacteria. This research uses genetic engineering methods to constitutively express/transcribe HopU1 RNA aptamers in transgenic A. thaliana. Our findings support the hypothesis that HopU1 aptamers can actively interfere with the function of the HopU1 protein and thereby increase resistance to phytopathogens of the genus P. syringae pv. tomato DC 3000.
Project description:Fungal effector proteins are important in mediating disease infections in agriculturally important crops. These secreted small proteins are known to interact with their respective host receptor binding partners in the host, either inside the cells or in the apoplastic space, depending on the localisation of the effector proteins. Consequently, it is important to understand the interactions between fungal effector proteins and their target host receptor binding partners, particularly since this can be used for the selection of potential plant resistance or susceptibility-related proteins that can be applied to the breeding of new cultivars with disease resistance. In this study, molecular docking simulations were used to characterise protein-protein interactions between effector and plant receptors. Benchmarking was undertaken using available experimental structures of effector-host receptor complexes to optimise simulation parameters, which were then used to predict the structures and mediating interactions of effector proteins with host receptor binding partners that have not yet been characterised experimentally. Rigid docking was applied for both the so-called bound and unbound docking of MAX effectors with plant HMA domain protein partners. All bound complexes used for benchmarking were correctly predicted, with 84% being ranked as the top docking pose using the ZDOCK scoring function. In the case of unbound complexes, a minimum of 95% of known residues were predicted to be part of the interacting interface on the host receptor binding partner, and at least 87% of known residues were predicted to be part of the interacting interface on the effector protein. Hydrophobic interactions were found to dominate the formation of effector-plant protein complexes. An optimised set of docking parameters based on the use of ZDOCK and ZRANK scoring functions were established to enable the prediction of near-native docking poses involving different binding interfaces on plant HMA domain proteins. Whilst this study was limited by the availability of the experimentally determined complexed structures of effectors and host receptor binding partners, we demonstrated the potential of molecular docking simulations to predict the likely interactions between effectors and their respective host receptor binding partners. This computational approach may accelerate the process of the discovery of putative interacting plant partners of effector proteins and contribute to effector-assisted marker discovery, thereby supporting the breeding of disease-resistant crops.
Project description:The complicated interplay of plant-pathogen interactions occurs on multiple levels as pathogens evolve to constantly evade the immune responses of their hosts. Many economically important crops fall victim to filamentous pathogens that produce small proteins called effectors to manipulate the host and aid infection/colonization. Understanding the effector repertoires of pathogens is facilitating an increased understanding of the molecular mechanisms underlying virulence as well as guiding the development of disease control strategies. The purpose of this review is to give a chronological perspective on the evolution of the methodologies used in effector discovery from physical isolation and in silico predictions, to functional characterization of the effectors of filamentous plant pathogens and identification of their host targets.
Project description:Plant pathogens degrade cell wall through secreted polygalacturonases (PGs) during infection. Plants counteract the PGs by producing PG-inhibiting proteins (PGIPs) for protection, reversibly binding fungal PGs, and mitigating their hydrolytic activities. To date, how fungal pathogens specifically overcome PGIP inhibition is unknown. Here, we report an effector, Sclerotinia sclerotiorum PGIP-INactivating Effector 1 (SsPINE1), which directly interacts with and functionally inactivates PGIP. S. sclerotiorum is a necrotrophic fungus that causes stem rot diseases on more than 600 plant species with tissue maceration being the most prominent symptom. SsPINE1 enhances S. sclerotiorum necrotrophic virulence by specifically interacting with host PGIPs to negate their polygalacturonase-inhibiting function via enhanced dissociation of PGIPs from PGs. Targeted deletion of SsPINE1 reduces the fungal virulence. Ectopic expression of SsPINE1 in plant reduces its resistance against S. sclerotiorum. Functional and genomic analyses reveal a conserved virulence mechanism of cognate PINE1 proteins in broad host range necrotrophic fungal pathogens.
Project description:Plants are susceptible to fungal pathogen infection, threatening plant growth and development. Researchers worldwide have conducted extensive studies to address this issue and have published numerous articles on the subject, but they lack a scientometric evaluation. This study analyzed international research on the topic "Plant resistance to fungal pathogens" between 2008 and 2021, using the core database of the Web of Science (WoS). By searching the subject words "Plants", "Disease Resistance", and "Fungal Pathogens", we received 6687 articles. Bibliometric visualization software analyzes the most published countries, institutions, journals, authors, the most cited articles, and the most common keywords. The results show that the number of articles in the database has increased year by year, with the United States and China occupying the core positions, accounting for 46.16% of the total published articles worldwide. The United States Department of Agriculture (USDA) is the main publishing organization. Wang Guoliang is the author with the most published articles, and the Frontiers in Plant Science ranks first in published articles. The research on plant anti-fungal pathogens is booming, and international exchanges and cooperation need to be further strengthened. This paper summarizes five possible research ideas, from fungal pathogens, gene editing technology, extraction of secondary metabolites from plants as anti-fungal agents, identification of related signal pathways, fungal molecular databases, and development of nanomaterials, to provide data for related research.
Project description:Comparative genome analyses of eukaryotic pathogens including fungi and oomycetes have revealed extensive variability in genome composition and structure. The genomes of individuals from the same population can exhibit different numbers of chromosomes and different organization of chromosomal segments, defining so-called accessory compartments that have been shown to be crucial to pathogenicity in plant-infecting fungi. This high level of structural variation confers a methodological challenge for population genomic analyses. Variant discovery from population sequencing data is typically achieved using established pipelines based on the mapping of short reads to a reference genome. These pipelines have been developed, and extensively used, for eukaryote genomes of both plants and animals, to retrieve single nucleotide polymorphisms and short insertions and deletions. However, they do not permit the inference of large-scale genomic structural variation, as this task typically requires the alignment of complete genome sequences. Here, we compare traditional variant discovery approaches to a pipeline based on de novo genome assembly of short read data followed by whole genome alignment, using simulated data sets with properties mimicking that of fungal pathogen genomes. We show that the latter approach exhibits levels of performance comparable to that of read-mapping based methodologies, when used on sequence data with sufficient coverage. We argue that this approach further allows additional types of genomic diversity to be explored, in particular as long-read third-generation sequencing technologies are becoming increasingly available to generate population genomic data.
Project description:Biotrophic plant pathogenic fungi are widely distributed and are among the most damaging pathogenic organisms of agriculturally important crops responsible for significant losses in quality and yield. However, the pathogenesis of obligate parasitic pathogenic microorganisms is still under investigation because they cannot reproduce and complete their life cycle on an artificial medium. The successful lifestyle of biotrophic fungal pathogens depends on their ability to secrete effector proteins to manipulate or evade plant defense response. By integrating genomics, transcriptomics, and effectoromics, insights into how the adaptation of biotrophic plant fungal pathogens adapt to their host populations can be gained. Efficient tools to decipher the precise molecular mechanisms of rust-plant interactions, and standardized routines in genomics and functional pipelines have been established and will pave the way for comparative studies. Deciphering fungal pathogenesis not only allows us to better understand how fungal pathogens infect host plants but also provides valuable information for plant diseases control, including new strategies to prevent, delay, or inhibit fungal development. Our review provides a comprehensive overview of the efforts that have been made to decipher the effector proteins of biotrophic fungal pathogens and demonstrates how rapidly research in the field of obligate biotrophy has progressed.
Project description:The basidiomycete Melampsora larici-populina causes poplar rust disease by invading leaf tissues and secreting effector proteins through specialized infection structures known as haustoria. The mechanisms by which rust effectors promote pathogen virulence are poorly understood. The present study characterized Mlp124478, a candidate effector of M. larici-populina. We used the models Arabidopsis thaliana and Nicotiana benthamiana to investigate the function of Mlp124478 in plant cells. We established that Mlp124478 accumulates in the nucleus and nucleolus, however its nucleolar accumulation is not required to promote growth of the oomycete pathogen Hyaloperonospora arabidopsidis. Stable constitutive expression of Mlp124478 in A. thaliana repressed the expression of genes involved in immune responses, and also altered leaf morphology by increasing the waviness of rosette leaves. Chip-PCR experiments showed that Mlp124478 associats'e with the TGA1a-binding DNA sequence. Our results suggest that Mlp124478 exerts a virulence activity and binds the TGA1a promoter to suppress genes induced in response to pathogen infection.
Project description:Magnaporthe oryzae and Ustilaginoidea virens are two filamentous fungal pathogens that threaten rice production worldwide. Genetic tools that permit fast gene deletion and silencing are of great interest for functional genomics of fungal pathogens. As a revolutionary genome editing tool, clustered regularly interspaced palindromic repeats (CRISPR) and CRISPR-associated protein 9 (Cas9) enable many innovative applications. Here, we developed a CRISPR interference (CRISPRi) toolkit using nuclease activity dead Cas9 (dCas9) to silence genes of interest in M. oryzae and U. virens. We optimized the components of CRISPRi vectors, including transcriptional repression domains, dCas9 promoters, and guide RNA (gRNA) promoters. The CRISPRi tool was tested using nine gRNAs to target the promoters of MoATG3, MoATG7, and UvPal1. The results indicated that a single gRNA could direct the dCas9-fused transcriptional repression domain to efficiently silence the target gene in M. oryzae and U. virens. In both fungi, the target genes were repressed >100-fold, and desired phenotypes were observed in CRISPRi strains. Importantly, we showed that multiple genes could be easily silenced using polycistronic tRNA-gRNA in CRISPRi. Furthermore, gRNAs that bind different promoter regions displayed variable repression levels of target genes, highlighting the importance of gRNA design for CRISPRi efficiency. Together, this study provides an efficient and robust CRISPRi tool for targeted gene silencing in M. oryzae and U. virens. Owing to its simplicity and multiplexity, CRISPRi will be a useful tool for gene function discovery in fungal pathogens. IMPORTANCE Many devastating plant diseases are caused by fungal pathogens that evolve rapidly to adapt to host resistance and environmental changes. Therefore, genetic tools that enable fast gene function discovery are needed to study the pathogenicity and stress adaptation of fungal pathogens. In this study, we adopted the CRISPR/Cas9 system to silence genes in Magnaporthe oryzae and Ustilaginoidea virens, which are two dominant fungal pathogens that threaten rice production worldwide. We present a versatile and robust CRISPRi toolkit that represses target gene expression >100-fold using a single gRNA. We also demonstrated that CRISPRi could simultaneously silence multiple genes using the tRNA-gRNA strategy. The CRISPRi technologies described in this study would accelerate the functional genomics of fungal pathogens.