Literature DB >> 34432124

Genetic response to nitrogen starvation in the aggressive Eucalyptus foliar pathogen Teratosphaeria destructans.

Minette Havenga1,2, Brenda D Wingfield3, Michael J Wingfield3, Léanne L Dreyer4, Francois Roets5, Janneke Aylward3,5.   

Abstract

Teratosphaeria destructans is one of the most aggressive foliar pathogens of Eucalyptus. The biological factors underpinning T. destructans infections, which include shoot and leaf blight on young trees, have never been interrogated. Thus, the means by which the pathogen modifies its host environment to overcome host defences remain unknown. By applying transcriptome sequencing, the aim of this study was to compare gene expression in a South African isolate of T. destructans grown on nitrogen-deficient and complete media. This made it possible to identify upregulated genes in a nitrogen-starved environment, often linked to the pathogenicity of the fungus. The results support the hypothesis that nitrogen starvation in T. destructans likely mirrors an in planta genetic response. This is because 45% of genes that were highly upregulated under nitrogen starvation have previously been reported to be associated with infection in other pathogen systems. These included several CAZymes, fungal effector proteins, peptidases, kinases, toxins, lipases and proteins associated with detoxification of toxic compounds. Twenty-five secondary metabolites were identified and expressed in both nitrogen-deficient and complete conditions. Additionally, the most highly expressed genes in both growth conditions had pathogenicity-related functions. This study highlights the large number of expressed genes associated with pathogenicity and overcoming plant defences. As such, the generated baseline knowledge regarding pathogenicity and aggressiveness in T. destructans is a valuable reference for future in planta work.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Enzyme secretion; Fungal pathogenicity factors; RNAseq; Transcriptomics; Virulence

Mesh:

Substances:

Year:  2021        PMID: 34432124     DOI: 10.1007/s00294-021-01208-w

Source DB:  PubMed          Journal:  Curr Genet        ISSN: 0172-8083            Impact factor:   3.886


  48 in total

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4.  Genome-Based Discovery of Polyketide-Derived Secondary Metabolism Pathways in the Barley Pathogen Ramularia collo-cygni.

Authors:  F Dussart; R Douglas; E Sjökvist; P N Hoebe; S H Spoel; G R D McGrann
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Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

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