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Open AccessJournal ArticleDOI

Insights from the genome of the biotrophic fungal plant pathogen Ustilago maydis

Jörg Kämper, +80 more
- 02 Nov 2006 - 
- Vol. 444, Iss: 7115, pp 97-101
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TLDR
The discovery of the secreted protein gene clusters and the functional demonstration of their decisive role in the infection process illuminate previously unknown mechanisms of pathogenicity operating in biotrophic fungi.
Abstract
Ustilago maydis is a ubiquitous pathogen of maize and a well-established model organism for the study of plant-microbe interactions. This basidiomycete fungus does not use aggressive virulence strategies to kill its host. U. maydis belongs to the group of biotrophic parasites (the smuts) that depend on living tissue for proliferation and development. Here we report the genome sequence for a member of this economically important group of biotrophic fungi. The 20.5-million-base U. maydis genome assembly contains 6,902 predicted protein-encoding genes and lacks pathogenicity signatures found in the genomes of aggressive pathogenic fungi, for example a battery of cell-wall-degrading enzymes. However, we detected unexpected genomic features responsible for the pathogenicity of this organism. Specifically, we found 12 clusters of genes encoding small secreted proteins with unknown function. A significant fraction of these genes exists in small gene families. Expression analysis showed that most of the genes contained in these clusters are regulated together and induced in infected tissue. Deletion of individual clusters altered the virulence of U. maydis in five cases, ranging from a complete lack of symptoms to hypervirulence. Despite years of research into the mechanism of pathogenicity in U. maydis, no 'true' virulence factors had been previously identified. Thus, the discovery of the secreted protein gene clusters and the functional demonstration of their decisive role in the infection process illuminate previously unknown mechanisms of pathogenicity operating in biotrophic fungi. Genomic analysis is, similarly, likely to open up new avenues for the discovery of virulence determinants in other pathogens.

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Plant immunity: towards an integrated view of plant―pathogen interactions

TL;DR: The recent convergence of molecular studies of plant immunity and pathogen infection strategies is revealing an integrated picture of the plant–pathogen interaction from the perspective of both organisms, suggesting novel biotechnological approaches to crop protection.
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The genome of Laccaria bicolor provides insights into mycorrhizal symbiosis

TL;DR: The predicted gene inventory of the L. bicolor genome points to previously unknown mechanisms of symbiosis operating in biotrophic mycorrhizal fungi, providing an unparalleled opportunity to develop a deeper understanding of the processes by which symbionts interact with plants within their ecosystem to perform vital functions in the carbon and nitrogen cycles that are fundamental to sustainable plant productivity.
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Fungal Effectors and Plant Susceptibility

TL;DR: This review describes the effector repertoires of 84 plant-colonizing fungi and focuses on the mechanisms that allow these fungal effectors to promote virulence or compatibility, discuss common plant nodes that are targeted by effectors, and provide recent insights into effector evolution.
References
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Journal ArticleDOI

Improved Prediction of Signal Peptides: SignalP 3.0

TL;DR: Improvements of the currently most popular method for prediction of classically secreted proteins, SignalP, which consists of two different predictors based on neural network and hidden Markov model algorithms, where both components have been updated.
Journal ArticleDOI

Predicting subcellular localization of proteins based on their N-terminal amino acid sequence.

TL;DR: A neural network-based tool, TargetP, for large-scale subcellular location prediction of newly identified proteins has been developed and it is estimated that 10% of all plant proteins are mitochondrial and 14% chloroplastic, and that the abundance of secretory proteins, in both Arabidopsis and Homo, is around 10%.
Book

Handbook of genetics

Journal ArticleDOI

MIPS: analysis and annotation of proteins from whole genomes

TL;DR: The Munich Information Center for Protein Sequences (MIPS at the GSF), Neuherberg, Germany, provides resources related to genome information and develops databases covering computable information such as the basic evolutionary relations among all genes.
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