Pathogen recognition in compatible plant-microbe interactions

Abstract Microbial infections in plant leaves remain a major challenge in agriculture. Hence an understanding of disease mechanisms at the molecular level is of paramount importance for identifying possible intervention points for their control. Whole-transcriptome changes during early disease stage...

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Autores principales:	Fabio Rezzonico, Oliver Rupp, Johannes Fahrentrapp
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/51573dfddab24bdd9b609d2907b0d1b9
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spelling	oai:doaj.org-article:51573dfddab24bdd9b609d2907b0d1b92021-12-02T16:07:02ZPathogen recognition in compatible plant-microbe interactions10.1038/s41598-017-04792-52045-2322https://doaj.org/article/51573dfddab24bdd9b609d2907b0d1b92017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04792-5https://doaj.org/toc/2045-2322Abstract Microbial infections in plant leaves remain a major challenge in agriculture. Hence an understanding of disease mechanisms at the molecular level is of paramount importance for identifying possible intervention points for their control. Whole-transcriptome changes during early disease stages in susceptible plant species are less well-documented than those of resistant ones. This study focuses on the differential transcriptional changes at 24 hours post inoculation (hpi) in tomato leaflets affected by three pathogens: (1) Phytophthora infestans, (2) Botrytis cinerea, and (3) Oidium neolycopersici. Grey mould (B. cinerea) was the disease that had progressed the most by 24 hpi, both in terms of visible symptoms as well as differential gene expression. By means of RNA-seq, we identified 50 differentially expressed tomato genes specifically induced by B. cinerea infection and 18 specifically induced by P. infestans infection at 24 hpi. Additionally, a set of 63 genes were differentially expressed during all three diseases when compared by a Bayesian approach to their respective mock infections. And Gene expression patterns were found to also depend on the inoculation technique. These findings suggest a specific and distinct transcriptional response in plant leaf tissue in reaction to B. cinerea and P. infestans invasion at 24 hpi, indicating that plants may recognize the attacking pathogen.Fabio RezzonicoOliver RuppJohannes FahrentrappNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Fabio Rezzonico Oliver Rupp Johannes Fahrentrapp Pathogen recognition in compatible plant-microbe interactions
description	Abstract Microbial infections in plant leaves remain a major challenge in agriculture. Hence an understanding of disease mechanisms at the molecular level is of paramount importance for identifying possible intervention points for their control. Whole-transcriptome changes during early disease stages in susceptible plant species are less well-documented than those of resistant ones. This study focuses on the differential transcriptional changes at 24 hours post inoculation (hpi) in tomato leaflets affected by three pathogens: (1) Phytophthora infestans, (2) Botrytis cinerea, and (3) Oidium neolycopersici. Grey mould (B. cinerea) was the disease that had progressed the most by 24 hpi, both in terms of visible symptoms as well as differential gene expression. By means of RNA-seq, we identified 50 differentially expressed tomato genes specifically induced by B. cinerea infection and 18 specifically induced by P. infestans infection at 24 hpi. Additionally, a set of 63 genes were differentially expressed during all three diseases when compared by a Bayesian approach to their respective mock infections. And Gene expression patterns were found to also depend on the inoculation technique. These findings suggest a specific and distinct transcriptional response in plant leaf tissue in reaction to B. cinerea and P. infestans invasion at 24 hpi, indicating that plants may recognize the attacking pathogen.
format	article
author	Fabio Rezzonico Oliver Rupp Johannes Fahrentrapp
author_facet	Fabio Rezzonico Oliver Rupp Johannes Fahrentrapp
author_sort	Fabio Rezzonico
title	Pathogen recognition in compatible plant-microbe interactions
title_short	Pathogen recognition in compatible plant-microbe interactions
title_full	Pathogen recognition in compatible plant-microbe interactions
title_fullStr	Pathogen recognition in compatible plant-microbe interactions
title_full_unstemmed	Pathogen recognition in compatible plant-microbe interactions
title_sort	pathogen recognition in compatible plant-microbe interactions
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/51573dfddab24bdd9b609d2907b0d1b9
work_keys_str_mv	AT fabiorezzonico pathogenrecognitionincompatibleplantmicrobeinteractions AT oliverrupp pathogenrecognitionincompatibleplantmicrobeinteractions AT johannesfahrentrapp pathogenrecognitionincompatibleplantmicrobeinteractions
_version_	1718384774684344320

Pathogen recognition in compatible plant-microbe interactions

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