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Characterization of the Rosellinia necatrix Transcriptome and Genes Related to Pathogenesis by Single-Molecule mRNA Sequencing
White root rot disease, caused by the pathogen Rosellinia necatrix, is one of the world’s most devastating plant fungal diseases and affects several commercially important species of fruit trees and crops. Recent global outbreaks of R. necatrix and advances in molecular techniques have both increase...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Korean Society of Plant Pathology
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5538440/ https://www.ncbi.nlm.nih.gov/pubmed/28811753 http://dx.doi.org/10.5423/PPJ.OA.03.2017.0046 |
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author | Kim, Hyeongmin Lee, Seung Jae Jo, Ick-Hyun Lee, Jinsu Bae, Wonsil Kim, Hyemin Won, Kyungho Hyun, Tae Kyung Ryu, Hojin |
author_facet | Kim, Hyeongmin Lee, Seung Jae Jo, Ick-Hyun Lee, Jinsu Bae, Wonsil Kim, Hyemin Won, Kyungho Hyun, Tae Kyung Ryu, Hojin |
author_sort | Kim, Hyeongmin |
collection | PubMed |
description | White root rot disease, caused by the pathogen Rosellinia necatrix, is one of the world’s most devastating plant fungal diseases and affects several commercially important species of fruit trees and crops. Recent global outbreaks of R. necatrix and advances in molecular techniques have both increased interest in this pathogen. However, the lack of information regarding the genomic structure and transcriptome of R. necatrix has been a barrier to the progress of functional genomic research and the control of this harmful pathogen. Here, we identified 10,616 novel full-length transcripts from the filamentous hyphal tissue of R. necatrix (KACC 40445 strain) using PacBio single-molecule sequencing technology. After annotation of the unigene sets, we selected 14 cell cycle-related genes, which are likely either positively or negatively involved in hyphal growth by cell cycle control. The expression of the selected genes was further compared between two strains that displayed different growth rates on nutritional media. Furthermore, we predicted pathogen-related effector genes and cell wall-degrading enzymes from the annotated gene sets. These results provide the most comprehensive transcriptomal resources for R. necatrix, and could facilitate functional genomics and further analyses of this important phytopathogen. |
format | Online Article Text |
id | pubmed-5538440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Korean Society of Plant Pathology |
record_format | MEDLINE/PubMed |
spelling | pubmed-55384402017-08-15 Characterization of the Rosellinia necatrix Transcriptome and Genes Related to Pathogenesis by Single-Molecule mRNA Sequencing Kim, Hyeongmin Lee, Seung Jae Jo, Ick-Hyun Lee, Jinsu Bae, Wonsil Kim, Hyemin Won, Kyungho Hyun, Tae Kyung Ryu, Hojin Plant Pathol J Research Article White root rot disease, caused by the pathogen Rosellinia necatrix, is one of the world’s most devastating plant fungal diseases and affects several commercially important species of fruit trees and crops. Recent global outbreaks of R. necatrix and advances in molecular techniques have both increased interest in this pathogen. However, the lack of information regarding the genomic structure and transcriptome of R. necatrix has been a barrier to the progress of functional genomic research and the control of this harmful pathogen. Here, we identified 10,616 novel full-length transcripts from the filamentous hyphal tissue of R. necatrix (KACC 40445 strain) using PacBio single-molecule sequencing technology. After annotation of the unigene sets, we selected 14 cell cycle-related genes, which are likely either positively or negatively involved in hyphal growth by cell cycle control. The expression of the selected genes was further compared between two strains that displayed different growth rates on nutritional media. Furthermore, we predicted pathogen-related effector genes and cell wall-degrading enzymes from the annotated gene sets. These results provide the most comprehensive transcriptomal resources for R. necatrix, and could facilitate functional genomics and further analyses of this important phytopathogen. Korean Society of Plant Pathology 2017-08 2017-08-01 /pmc/articles/PMC5538440/ /pubmed/28811753 http://dx.doi.org/10.5423/PPJ.OA.03.2017.0046 Text en © The Korean Society of Plant Pathology This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Articles can be freely viewed online at www.ppjonline.org. |
spellingShingle | Research Article Kim, Hyeongmin Lee, Seung Jae Jo, Ick-Hyun Lee, Jinsu Bae, Wonsil Kim, Hyemin Won, Kyungho Hyun, Tae Kyung Ryu, Hojin Characterization of the Rosellinia necatrix Transcriptome and Genes Related to Pathogenesis by Single-Molecule mRNA Sequencing |
title | Characterization of the Rosellinia necatrix Transcriptome and Genes Related to Pathogenesis by Single-Molecule mRNA Sequencing |
title_full | Characterization of the Rosellinia necatrix Transcriptome and Genes Related to Pathogenesis by Single-Molecule mRNA Sequencing |
title_fullStr | Characterization of the Rosellinia necatrix Transcriptome and Genes Related to Pathogenesis by Single-Molecule mRNA Sequencing |
title_full_unstemmed | Characterization of the Rosellinia necatrix Transcriptome and Genes Related to Pathogenesis by Single-Molecule mRNA Sequencing |
title_short | Characterization of the Rosellinia necatrix Transcriptome and Genes Related to Pathogenesis by Single-Molecule mRNA Sequencing |
title_sort | characterization of the rosellinia necatrix transcriptome and genes related to pathogenesis by single-molecule mrna sequencing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5538440/ https://www.ncbi.nlm.nih.gov/pubmed/28811753 http://dx.doi.org/10.5423/PPJ.OA.03.2017.0046 |
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