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Pathogen recognition in compatible plant-microbe interactions
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 susc...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5526865/ https://www.ncbi.nlm.nih.gov/pubmed/28743967 http://dx.doi.org/10.1038/s41598-017-04792-5 |
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author | Rezzonico, Fabio Rupp, Oliver Fahrentrapp, Johannes |
author_facet | Rezzonico, Fabio Rupp, Oliver Fahrentrapp, Johannes |
author_sort | Rezzonico, Fabio |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-5526865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55268652017-08-02 Pathogen recognition in compatible plant-microbe interactions Rezzonico, Fabio Rupp, Oliver Fahrentrapp, Johannes Sci Rep Article 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. Nature Publishing Group UK 2017-07-25 /pmc/articles/PMC5526865/ /pubmed/28743967 http://dx.doi.org/10.1038/s41598-017-04792-5 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Rezzonico, Fabio Rupp, Oliver Fahrentrapp, Johannes Pathogen recognition in compatible plant-microbe interactions |
title | 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_short | Pathogen recognition in compatible plant-microbe interactions |
title_sort | pathogen recognition in compatible plant-microbe interactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5526865/ https://www.ncbi.nlm.nih.gov/pubmed/28743967 http://dx.doi.org/10.1038/s41598-017-04792-5 |
work_keys_str_mv | AT rezzonicofabio pathogenrecognitionincompatibleplantmicrobeinteractions AT ruppoliver pathogenrecognitionincompatibleplantmicrobeinteractions AT fahrentrappjohannes pathogenrecognitionincompatibleplantmicrobeinteractions |