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Candidate genes for grape white rot resistance based on SMRT and Illumina sequencing

BACKGROUND: White rot is one of the most dangerous fungal diseases and can considerably affect grape berry production and quality. However, few studies have focused on this disease, and thus, finding candidate white rot resistance genes is of great importance for breeding resistant grapevine cultiva...

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Autores principales: Su, Kai, Guo, Yinshan, Zhao, Yuhui, Gao, Hongyan, Liu, Zhendong, Li, Kun, Ma, Li, Guo, Xiuwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858721/
https://www.ncbi.nlm.nih.gov/pubmed/31729958
http://dx.doi.org/10.1186/s12870-019-2119-x
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author Su, Kai
Guo, Yinshan
Zhao, Yuhui
Gao, Hongyan
Liu, Zhendong
Li, Kun
Ma, Li
Guo, Xiuwu
author_facet Su, Kai
Guo, Yinshan
Zhao, Yuhui
Gao, Hongyan
Liu, Zhendong
Li, Kun
Ma, Li
Guo, Xiuwu
author_sort Su, Kai
collection PubMed
description BACKGROUND: White rot is one of the most dangerous fungal diseases and can considerably affect grape berry production and quality. However, few studies have focused on this disease, and thus, finding candidate white rot resistance genes is of great importance for breeding resistant grapevine cultivars. Based on field observations and indoor experiments, the cultivars “Victoria” and “Zhuosexiang” showed significant differences in white rot resistance. For understanding the molecular mechanisms behind it, different phenotypes of grapevine leaves were used for RNA sequencing via Illumina and single-molecule real-time (SMRT) sequencing technology. RESULTS: A transcript library containing 53,906 reads, including known and novel transcripts, was constructed following the full-length transcriptome sequencing of the two grapevine cultivars. Genes involved in salicylic acid (SA) and jasmonic acid (JA) synthesis pathways showed different expression levels. Furthermore, four key transcription factors (TFs), NPR1, TGA4, Pti6, and MYC2, all involved in the SA and JA signal pathways were identified, and the expression profile revealed the different regulation of the pathogenesis related protein1 (PR1) resistance gene, as mediated by the four TFs. CONCLUSIONS: Full-length transcript sequencing can substantially improve the accuracy and integrity of gene prediction and gene function research in grapevine. Our results contribute to identify candidate resistance genes and improve our understanding of the genes and regulatory mechanisms involved in grapevine resistance to white rot.
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spelling pubmed-68587212019-11-29 Candidate genes for grape white rot resistance based on SMRT and Illumina sequencing Su, Kai Guo, Yinshan Zhao, Yuhui Gao, Hongyan Liu, Zhendong Li, Kun Ma, Li Guo, Xiuwu BMC Plant Biol Research Article BACKGROUND: White rot is one of the most dangerous fungal diseases and can considerably affect grape berry production and quality. However, few studies have focused on this disease, and thus, finding candidate white rot resistance genes is of great importance for breeding resistant grapevine cultivars. Based on field observations and indoor experiments, the cultivars “Victoria” and “Zhuosexiang” showed significant differences in white rot resistance. For understanding the molecular mechanisms behind it, different phenotypes of grapevine leaves were used for RNA sequencing via Illumina and single-molecule real-time (SMRT) sequencing technology. RESULTS: A transcript library containing 53,906 reads, including known and novel transcripts, was constructed following the full-length transcriptome sequencing of the two grapevine cultivars. Genes involved in salicylic acid (SA) and jasmonic acid (JA) synthesis pathways showed different expression levels. Furthermore, four key transcription factors (TFs), NPR1, TGA4, Pti6, and MYC2, all involved in the SA and JA signal pathways were identified, and the expression profile revealed the different regulation of the pathogenesis related protein1 (PR1) resistance gene, as mediated by the four TFs. CONCLUSIONS: Full-length transcript sequencing can substantially improve the accuracy and integrity of gene prediction and gene function research in grapevine. Our results contribute to identify candidate resistance genes and improve our understanding of the genes and regulatory mechanisms involved in grapevine resistance to white rot. BioMed Central 2019-11-15 /pmc/articles/PMC6858721/ /pubmed/31729958 http://dx.doi.org/10.1186/s12870-019-2119-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Su, Kai
Guo, Yinshan
Zhao, Yuhui
Gao, Hongyan
Liu, Zhendong
Li, Kun
Ma, Li
Guo, Xiuwu
Candidate genes for grape white rot resistance based on SMRT and Illumina sequencing
title Candidate genes for grape white rot resistance based on SMRT and Illumina sequencing
title_full Candidate genes for grape white rot resistance based on SMRT and Illumina sequencing
title_fullStr Candidate genes for grape white rot resistance based on SMRT and Illumina sequencing
title_full_unstemmed Candidate genes for grape white rot resistance based on SMRT and Illumina sequencing
title_short Candidate genes for grape white rot resistance based on SMRT and Illumina sequencing
title_sort candidate genes for grape white rot resistance based on smrt and illumina sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858721/
https://www.ncbi.nlm.nih.gov/pubmed/31729958
http://dx.doi.org/10.1186/s12870-019-2119-x
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