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Transcriptome analysis of the compatible interaction of tomato with Verticillium dahliae using RNA-sequencing

Tomato Verticillium wilt is a soil-borne vascular disease caused by the necrotrophic fungus Verticillium dahliae. Although some understanding of plant defense mechanisms against V. dahliae infection has been gained for incompatible interactions, including identification of inducible resistant genes...

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Autores principales: Tan, Guangxuan, Liu, Kun, Kang, Jingmin, Xu, Kedong, Zhang, Yi, Hu, Lizong, Zhang, Ju, Li, Chengwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4458571/
https://www.ncbi.nlm.nih.gov/pubmed/26106404
http://dx.doi.org/10.3389/fpls.2015.00428
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author Tan, Guangxuan
Liu, Kun
Kang, Jingmin
Xu, Kedong
Zhang, Yi
Hu, Lizong
Zhang, Ju
Li, Chengwei
author_facet Tan, Guangxuan
Liu, Kun
Kang, Jingmin
Xu, Kedong
Zhang, Yi
Hu, Lizong
Zhang, Ju
Li, Chengwei
author_sort Tan, Guangxuan
collection PubMed
description Tomato Verticillium wilt is a soil-borne vascular disease caused by the necrotrophic fungus Verticillium dahliae. Although some understanding of plant defense mechanisms against V. dahliae infection has been gained for incompatible interactions, including identification of inducible resistant genes and defense signaling pathways, the genes and signaling pathways involved in the compatible interaction remain unclear. To investigate the molecular basis of the compatible interaction between tomato and V. dahliae, transcriptomes of V. dahliae infected tomatoes were compared to those of a control group. A total of approximately 25 million high-quality reads were generated by means of the RNA sequencing (RNA-seq) method. The sequence reads were aligned to the tomato reference genome and analyzed to measure gene expression levels, and to identify alternative splicing events. Comparative analysis between the two samples revealed 1,953 significantly differentially expressed genes (DEGs), including 1,281 up-regulated and 672 down-regulated genes. The RNA-Seq output was confirmed using RT-qPCR for 10 selected genes. The Nr, Swiss-Prot, Gene Ontology (GO), Clusters of Orthologous Groups (COG), and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases were used to annotate DEG functions. Of the 1,953 DEGs identified, 1,953, 1,579, 1,739, 862, and 380 were assigned by Nr, Swiss-Prot, GO, COG, and KEGG, respectively. The important functional groups identified via GO and COG enrichment were those responsible for fundamental biological regulation, secondary metabolism, and signal transduction. Of DEGs assigned to 87 KEGG pathways, most were associated with phenylpropanoid metabolism and plant–pathogen interaction pathways. Most of the DEGs involved in these two pathways were up-regulated, and may be involved in regulating the tomato-V. dahliae compatible interaction. The results will help to identify key susceptible genes and contribute to a better understanding of the mechanisms of tomato susceptible response to V. dahliae.
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spelling pubmed-44585712015-06-23 Transcriptome analysis of the compatible interaction of tomato with Verticillium dahliae using RNA-sequencing Tan, Guangxuan Liu, Kun Kang, Jingmin Xu, Kedong Zhang, Yi Hu, Lizong Zhang, Ju Li, Chengwei Front Plant Sci Plant Science Tomato Verticillium wilt is a soil-borne vascular disease caused by the necrotrophic fungus Verticillium dahliae. Although some understanding of plant defense mechanisms against V. dahliae infection has been gained for incompatible interactions, including identification of inducible resistant genes and defense signaling pathways, the genes and signaling pathways involved in the compatible interaction remain unclear. To investigate the molecular basis of the compatible interaction between tomato and V. dahliae, transcriptomes of V. dahliae infected tomatoes were compared to those of a control group. A total of approximately 25 million high-quality reads were generated by means of the RNA sequencing (RNA-seq) method. The sequence reads were aligned to the tomato reference genome and analyzed to measure gene expression levels, and to identify alternative splicing events. Comparative analysis between the two samples revealed 1,953 significantly differentially expressed genes (DEGs), including 1,281 up-regulated and 672 down-regulated genes. The RNA-Seq output was confirmed using RT-qPCR for 10 selected genes. The Nr, Swiss-Prot, Gene Ontology (GO), Clusters of Orthologous Groups (COG), and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases were used to annotate DEG functions. Of the 1,953 DEGs identified, 1,953, 1,579, 1,739, 862, and 380 were assigned by Nr, Swiss-Prot, GO, COG, and KEGG, respectively. The important functional groups identified via GO and COG enrichment were those responsible for fundamental biological regulation, secondary metabolism, and signal transduction. Of DEGs assigned to 87 KEGG pathways, most were associated with phenylpropanoid metabolism and plant–pathogen interaction pathways. Most of the DEGs involved in these two pathways were up-regulated, and may be involved in regulating the tomato-V. dahliae compatible interaction. The results will help to identify key susceptible genes and contribute to a better understanding of the mechanisms of tomato susceptible response to V. dahliae. Frontiers Media S.A. 2015-06-08 /pmc/articles/PMC4458571/ /pubmed/26106404 http://dx.doi.org/10.3389/fpls.2015.00428 Text en Copyright © 2015 Tan, Liu, Kang, Xu, Zhang, Hu, Zhang and Li. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Tan, Guangxuan
Liu, Kun
Kang, Jingmin
Xu, Kedong
Zhang, Yi
Hu, Lizong
Zhang, Ju
Li, Chengwei
Transcriptome analysis of the compatible interaction of tomato with Verticillium dahliae using RNA-sequencing
title Transcriptome analysis of the compatible interaction of tomato with Verticillium dahliae using RNA-sequencing
title_full Transcriptome analysis of the compatible interaction of tomato with Verticillium dahliae using RNA-sequencing
title_fullStr Transcriptome analysis of the compatible interaction of tomato with Verticillium dahliae using RNA-sequencing
title_full_unstemmed Transcriptome analysis of the compatible interaction of tomato with Verticillium dahliae using RNA-sequencing
title_short Transcriptome analysis of the compatible interaction of tomato with Verticillium dahliae using RNA-sequencing
title_sort transcriptome analysis of the compatible interaction of tomato with verticillium dahliae using rna-sequencing
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4458571/
https://www.ncbi.nlm.nih.gov/pubmed/26106404
http://dx.doi.org/10.3389/fpls.2015.00428
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