Effector discovery in the fungal wheat pathogen Zymoseptoria tritici

A. Mirzadi Gohari, S.B. Ware, A.H.J. Wittenberg, R. Mehrabi, S. Ben M'Barek, E.C.P. Verstappen, T.A.J. van der Lee, O. Robert, H.J. Schouten, P.J.G.M. de Wit, G.H.J. Kema

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32 Citations (Scopus)

Abstract

Fungal plant pathogens, such as Zymoseptoria tritici (formerly known as Mycosphaerella graminicola), secrete repertoires of effectors to facilitate infection or trigger host defence mechanisms. The discovery and functional characterization of effectors provides valuable knowledge that can contribute to the design of new and effective disease management strategies. Here, we combined bioinformatics approaches with expression profiling during pathogenesis to identify candidate effectors of Z.¿tritici. In addition, a genetic approach was conducted to map quantitative trait loci (QTLs) carrying putative effectors, enabling the validation of both complementary strategies for effector discovery. In¿planta expression profiling revealed that candidate effectors were up-regulated in successive waves corresponding to consecutive stages of pathogenesis, contrary to candidates identified by QTL mapping that were, overall, expressed at low levels. Functional analyses of two top candidate effectors (SSP15 and SSP18) showed their dispensability for Z.¿tritici pathogenesis. These analyses reveal that generally adopted criteria, such as protein size, cysteine residues and expression during pathogenesis, may preclude an unbiased effector discovery. Indeed, genetic mapping of genomic regions involved in specificity render alternative effector candidates that do not match the aforementioned criteria, but should nevertheless be considered as promising new leads for effectors that are crucial for the Z.¿tritici–wheat pathosystem
Original languageEnglish
Pages (from-to)931-945
JournalMolecular Plant Pathology
Volume16
Issue number9
DOIs
Publication statusPublished - 2015

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Mycosphaerella graminicola
Quantitative Trait Loci
Triticum
pathogenesis
pathogen
wheat
bioinformatics
defense mechanism
pathogens
Disease Management
Computational Biology
Cysteine
quantitative trait loci
genomics
protein
Infection
defense mechanisms
plant pathogens
chromosome mapping
cysteine

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Mirzadi Gohari, A., Ware, S. B., Wittenberg, A. H. J., Mehrabi, R., Ben M'Barek, S., Verstappen, E. C. P., ... Kema, G. H. J. (2015). Effector discovery in the fungal wheat pathogen Zymoseptoria tritici. Molecular Plant Pathology, 16(9), 931-945. https://doi.org/10.1111/mpp.12251
Mirzadi Gohari, A. ; Ware, S.B. ; Wittenberg, A.H.J. ; Mehrabi, R. ; Ben M'Barek, S. ; Verstappen, E.C.P. ; van der Lee, T.A.J. ; Robert, O. ; Schouten, H.J. ; de Wit, P.J.G.M. ; Kema, G.H.J. / Effector discovery in the fungal wheat pathogen Zymoseptoria tritici. In: Molecular Plant Pathology. 2015 ; Vol. 16, No. 9. pp. 931-945.
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abstract = "Fungal plant pathogens, such as Zymoseptoria tritici (formerly known as Mycosphaerella graminicola), secrete repertoires of effectors to facilitate infection or trigger host defence mechanisms. The discovery and functional characterization of effectors provides valuable knowledge that can contribute to the design of new and effective disease management strategies. Here, we combined bioinformatics approaches with expression profiling during pathogenesis to identify candidate effectors of Z.¿tritici. In addition, a genetic approach was conducted to map quantitative trait loci (QTLs) carrying putative effectors, enabling the validation of both complementary strategies for effector discovery. In¿planta expression profiling revealed that candidate effectors were up-regulated in successive waves corresponding to consecutive stages of pathogenesis, contrary to candidates identified by QTL mapping that were, overall, expressed at low levels. Functional analyses of two top candidate effectors (SSP15 and SSP18) showed their dispensability for Z.¿tritici pathogenesis. These analyses reveal that generally adopted criteria, such as protein size, cysteine residues and expression during pathogenesis, may preclude an unbiased effector discovery. Indeed, genetic mapping of genomic regions involved in specificity render alternative effector candidates that do not match the aforementioned criteria, but should nevertheless be considered as promising new leads for effectors that are crucial for the Z.¿tritici–wheat pathosystem",
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Effector discovery in the fungal wheat pathogen Zymoseptoria tritici. / Mirzadi Gohari, A.; Ware, S.B.; Wittenberg, A.H.J.; Mehrabi, R.; Ben M'Barek, S.; Verstappen, E.C.P.; van der Lee, T.A.J.; Robert, O.; Schouten, H.J.; de Wit, P.J.G.M.; Kema, G.H.J.

In: Molecular Plant Pathology, Vol. 16, No. 9, 2015, p. 931-945.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Mirzadi Gohari, A.

AU - Ware, S.B.

AU - Wittenberg, A.H.J.

AU - Mehrabi, R.

AU - Ben M'Barek, S.

AU - Verstappen, E.C.P.

AU - van der Lee, T.A.J.

AU - Robert, O.

AU - Schouten, H.J.

AU - de Wit, P.J.G.M.

AU - Kema, G.H.J.

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N2 - Fungal plant pathogens, such as Zymoseptoria tritici (formerly known as Mycosphaerella graminicola), secrete repertoires of effectors to facilitate infection or trigger host defence mechanisms. The discovery and functional characterization of effectors provides valuable knowledge that can contribute to the design of new and effective disease management strategies. Here, we combined bioinformatics approaches with expression profiling during pathogenesis to identify candidate effectors of Z.¿tritici. In addition, a genetic approach was conducted to map quantitative trait loci (QTLs) carrying putative effectors, enabling the validation of both complementary strategies for effector discovery. In¿planta expression profiling revealed that candidate effectors were up-regulated in successive waves corresponding to consecutive stages of pathogenesis, contrary to candidates identified by QTL mapping that were, overall, expressed at low levels. Functional analyses of two top candidate effectors (SSP15 and SSP18) showed their dispensability for Z.¿tritici pathogenesis. These analyses reveal that generally adopted criteria, such as protein size, cysteine residues and expression during pathogenesis, may preclude an unbiased effector discovery. Indeed, genetic mapping of genomic regions involved in specificity render alternative effector candidates that do not match the aforementioned criteria, but should nevertheless be considered as promising new leads for effectors that are crucial for the Z.¿tritici–wheat pathosystem

AB - Fungal plant pathogens, such as Zymoseptoria tritici (formerly known as Mycosphaerella graminicola), secrete repertoires of effectors to facilitate infection or trigger host defence mechanisms. The discovery and functional characterization of effectors provides valuable knowledge that can contribute to the design of new and effective disease management strategies. Here, we combined bioinformatics approaches with expression profiling during pathogenesis to identify candidate effectors of Z.¿tritici. In addition, a genetic approach was conducted to map quantitative trait loci (QTLs) carrying putative effectors, enabling the validation of both complementary strategies for effector discovery. In¿planta expression profiling revealed that candidate effectors were up-regulated in successive waves corresponding to consecutive stages of pathogenesis, contrary to candidates identified by QTL mapping that were, overall, expressed at low levels. Functional analyses of two top candidate effectors (SSP15 and SSP18) showed their dispensability for Z.¿tritici pathogenesis. These analyses reveal that generally adopted criteria, such as protein size, cysteine residues and expression during pathogenesis, may preclude an unbiased effector discovery. Indeed, genetic mapping of genomic regions involved in specificity render alternative effector candidates that do not match the aforementioned criteria, but should nevertheless be considered as promising new leads for effectors that are crucial for the Z.¿tritici–wheat pathosystem

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VL - 16

SP - 931

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JO - Molecular Plant Pathology

JF - Molecular Plant Pathology

SN - 1464-6722

IS - 9

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Mirzadi Gohari A, Ware SB, Wittenberg AHJ, Mehrabi R, Ben M'Barek S, Verstappen ECP et al. Effector discovery in the fungal wheat pathogen Zymoseptoria tritici. Molecular Plant Pathology. 2015;16(9):931-945. https://doi.org/10.1111/mpp.12251