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High-Throughput RNA Sequencing of Pseudomonas-Infected Arabidopsis Reveals Hidden Transcriptome Complexity and Novel Splice Variants

We report the results of a genome-wide analysis of transcription in Arabidopsis thaliana after treatment with Pseudomonas syringae pathovar tomato. Our time course RNA-Seq experiment uses over 500 million read pairs to provide a detailed characterization of the response to infection in both suscepti...

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Autores principales: Howard, Brian E., Hu, Qiwen, Babaoglu, Ahmet Can, Chandra, Manan, Borghi, Monica, Tan, Xiaoping, He, Luyan, Winter-Sederoff, Heike, Gassmann, Walter, Veronese, Paola, Heber, Steffen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3788074/
https://www.ncbi.nlm.nih.gov/pubmed/24098335
http://dx.doi.org/10.1371/journal.pone.0074183
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author Howard, Brian E.
Hu, Qiwen
Babaoglu, Ahmet Can
Chandra, Manan
Borghi, Monica
Tan, Xiaoping
He, Luyan
Winter-Sederoff, Heike
Gassmann, Walter
Veronese, Paola
Heber, Steffen
author_facet Howard, Brian E.
Hu, Qiwen
Babaoglu, Ahmet Can
Chandra, Manan
Borghi, Monica
Tan, Xiaoping
He, Luyan
Winter-Sederoff, Heike
Gassmann, Walter
Veronese, Paola
Heber, Steffen
author_sort Howard, Brian E.
collection PubMed
description We report the results of a genome-wide analysis of transcription in Arabidopsis thaliana after treatment with Pseudomonas syringae pathovar tomato. Our time course RNA-Seq experiment uses over 500 million read pairs to provide a detailed characterization of the response to infection in both susceptible and resistant hosts. The set of observed differentially expressed genes is consistent with previous studies, confirming and extending existing findings about genes likely to play an important role in the defense response to Pseudomonas syringae. The high coverage of the Arabidopsis transcriptome resulted in the discovery of a surprisingly large number of alternative splicing (AS) events – more than 44% of multi-exon genes showed evidence for novel AS in at least one of the probed conditions. This demonstrates that the Arabidopsis transcriptome annotation is still highly incomplete, and that AS events are more abundant than expected. To further refine our predictions, we identified genes with statistically significant changes in the ratios of alternative isoforms between treatments. This set includes several genes previously known to be alternatively spliced or expressed during the defense response, and it may serve as a pool of candidate genes for regulated alternative splicing with possible biological relevance for the defense response against invasive pathogens.
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spelling pubmed-37880742013-10-04 High-Throughput RNA Sequencing of Pseudomonas-Infected Arabidopsis Reveals Hidden Transcriptome Complexity and Novel Splice Variants Howard, Brian E. Hu, Qiwen Babaoglu, Ahmet Can Chandra, Manan Borghi, Monica Tan, Xiaoping He, Luyan Winter-Sederoff, Heike Gassmann, Walter Veronese, Paola Heber, Steffen PLoS One Research Article We report the results of a genome-wide analysis of transcription in Arabidopsis thaliana after treatment with Pseudomonas syringae pathovar tomato. Our time course RNA-Seq experiment uses over 500 million read pairs to provide a detailed characterization of the response to infection in both susceptible and resistant hosts. The set of observed differentially expressed genes is consistent with previous studies, confirming and extending existing findings about genes likely to play an important role in the defense response to Pseudomonas syringae. The high coverage of the Arabidopsis transcriptome resulted in the discovery of a surprisingly large number of alternative splicing (AS) events – more than 44% of multi-exon genes showed evidence for novel AS in at least one of the probed conditions. This demonstrates that the Arabidopsis transcriptome annotation is still highly incomplete, and that AS events are more abundant than expected. To further refine our predictions, we identified genes with statistically significant changes in the ratios of alternative isoforms between treatments. This set includes several genes previously known to be alternatively spliced or expressed during the defense response, and it may serve as a pool of candidate genes for regulated alternative splicing with possible biological relevance for the defense response against invasive pathogens. Public Library of Science 2013-10-01 /pmc/articles/PMC3788074/ /pubmed/24098335 http://dx.doi.org/10.1371/journal.pone.0074183 Text en © 2013 Howard 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
Howard, Brian E.
Hu, Qiwen
Babaoglu, Ahmet Can
Chandra, Manan
Borghi, Monica
Tan, Xiaoping
He, Luyan
Winter-Sederoff, Heike
Gassmann, Walter
Veronese, Paola
Heber, Steffen
High-Throughput RNA Sequencing of Pseudomonas-Infected Arabidopsis Reveals Hidden Transcriptome Complexity and Novel Splice Variants
title High-Throughput RNA Sequencing of Pseudomonas-Infected Arabidopsis Reveals Hidden Transcriptome Complexity and Novel Splice Variants
title_full High-Throughput RNA Sequencing of Pseudomonas-Infected Arabidopsis Reveals Hidden Transcriptome Complexity and Novel Splice Variants
title_fullStr High-Throughput RNA Sequencing of Pseudomonas-Infected Arabidopsis Reveals Hidden Transcriptome Complexity and Novel Splice Variants
title_full_unstemmed High-Throughput RNA Sequencing of Pseudomonas-Infected Arabidopsis Reveals Hidden Transcriptome Complexity and Novel Splice Variants
title_short High-Throughput RNA Sequencing of Pseudomonas-Infected Arabidopsis Reveals Hidden Transcriptome Complexity and Novel Splice Variants
title_sort high-throughput rna sequencing of pseudomonas-infected arabidopsis reveals hidden transcriptome complexity and novel splice variants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3788074/
https://www.ncbi.nlm.nih.gov/pubmed/24098335
http://dx.doi.org/10.1371/journal.pone.0074183
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