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Genome-Wide Identification and Validation of Reference Genes in Infected Tomato Leaves for Quantitative RT-PCR Analyses

The Gram-negative bacterium Xanthomonas campestris pv. vesicatoria (Xcv) causes bacterial spot disease of pepper and tomato by direct translocation of type III effector proteins into the plant cell cytosol. Once in the plant cell the effectors interfere with host cell processes and manipulate the pl...

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Autores principales: Müller, Oliver A., Grau, Jan, Thieme, Sabine, Prochaska, Heike, Adlung, Norman, Sorgatz, Anika, Bonas, Ulla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4552032/
https://www.ncbi.nlm.nih.gov/pubmed/26313760
http://dx.doi.org/10.1371/journal.pone.0136499
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author Müller, Oliver A.
Grau, Jan
Thieme, Sabine
Prochaska, Heike
Adlung, Norman
Sorgatz, Anika
Bonas, Ulla
author_facet Müller, Oliver A.
Grau, Jan
Thieme, Sabine
Prochaska, Heike
Adlung, Norman
Sorgatz, Anika
Bonas, Ulla
author_sort Müller, Oliver A.
collection PubMed
description The Gram-negative bacterium Xanthomonas campestris pv. vesicatoria (Xcv) causes bacterial spot disease of pepper and tomato by direct translocation of type III effector proteins into the plant cell cytosol. Once in the plant cell the effectors interfere with host cell processes and manipulate the plant transcriptome. Quantitative RT-PCR (qRT-PCR) is usually the method of choice to analyze transcriptional changes of selected plant genes. Reliable results depend, however, on measuring stably expressed reference genes that serve as internal normalization controls. We identified the most stably expressed tomato genes based on microarray analyses of Xcv-infected tomato leaves and evaluated the reliability of 11 genes for qRT-PCR studies in comparison to four traditionally employed reference genes. Three different statistical algorithms, geNorm, NormFinder and BestKeeper, concordantly determined the superiority of the newly identified reference genes. The most suitable reference genes encode proteins with homology to PHD finger family proteins and the U6 snRNA-associated protein LSm7. In addition, we identified pepper orthologs and validated several genes as reliable normalization controls for qRT-PCR analysis of Xcv-infected pepper plants. The newly identified reference genes will be beneficial for future qRT-PCR studies of the Xcv-tomato and Xcv-pepper pathosystems, as well as for the identification of suitable normalization controls for qRT-PCR studies of other plant-pathogen interactions, especially, if related plant species are used in combination with bacterial pathogens.
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spelling pubmed-45520322015-09-01 Genome-Wide Identification and Validation of Reference Genes in Infected Tomato Leaves for Quantitative RT-PCR Analyses Müller, Oliver A. Grau, Jan Thieme, Sabine Prochaska, Heike Adlung, Norman Sorgatz, Anika Bonas, Ulla PLoS One Research Article The Gram-negative bacterium Xanthomonas campestris pv. vesicatoria (Xcv) causes bacterial spot disease of pepper and tomato by direct translocation of type III effector proteins into the plant cell cytosol. Once in the plant cell the effectors interfere with host cell processes and manipulate the plant transcriptome. Quantitative RT-PCR (qRT-PCR) is usually the method of choice to analyze transcriptional changes of selected plant genes. Reliable results depend, however, on measuring stably expressed reference genes that serve as internal normalization controls. We identified the most stably expressed tomato genes based on microarray analyses of Xcv-infected tomato leaves and evaluated the reliability of 11 genes for qRT-PCR studies in comparison to four traditionally employed reference genes. Three different statistical algorithms, geNorm, NormFinder and BestKeeper, concordantly determined the superiority of the newly identified reference genes. The most suitable reference genes encode proteins with homology to PHD finger family proteins and the U6 snRNA-associated protein LSm7. In addition, we identified pepper orthologs and validated several genes as reliable normalization controls for qRT-PCR analysis of Xcv-infected pepper plants. The newly identified reference genes will be beneficial for future qRT-PCR studies of the Xcv-tomato and Xcv-pepper pathosystems, as well as for the identification of suitable normalization controls for qRT-PCR studies of other plant-pathogen interactions, especially, if related plant species are used in combination with bacterial pathogens. Public Library of Science 2015-08-27 /pmc/articles/PMC4552032/ /pubmed/26313760 http://dx.doi.org/10.1371/journal.pone.0136499 Text en © 2015 Müller et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Müller, Oliver A.
Grau, Jan
Thieme, Sabine
Prochaska, Heike
Adlung, Norman
Sorgatz, Anika
Bonas, Ulla
Genome-Wide Identification and Validation of Reference Genes in Infected Tomato Leaves for Quantitative RT-PCR Analyses
title Genome-Wide Identification and Validation of Reference Genes in Infected Tomato Leaves for Quantitative RT-PCR Analyses
title_full Genome-Wide Identification and Validation of Reference Genes in Infected Tomato Leaves for Quantitative RT-PCR Analyses
title_fullStr Genome-Wide Identification and Validation of Reference Genes in Infected Tomato Leaves for Quantitative RT-PCR Analyses
title_full_unstemmed Genome-Wide Identification and Validation of Reference Genes in Infected Tomato Leaves for Quantitative RT-PCR Analyses
title_short Genome-Wide Identification and Validation of Reference Genes in Infected Tomato Leaves for Quantitative RT-PCR Analyses
title_sort genome-wide identification and validation of reference genes in infected tomato leaves for quantitative rt-pcr analyses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4552032/
https://www.ncbi.nlm.nih.gov/pubmed/26313760
http://dx.doi.org/10.1371/journal.pone.0136499
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