Characterization of the Rosellinia necatrix Transcriptome and Genes Related to Pathogenesis by Single-Molecule mRNA Sequencing

被引:5
|
作者
Kim, Hyeongmin [1 ]
Lee, Seung Jae [2 ]
Jo, Ick-Hyun [3 ]
Lee, Jinsu [1 ]
Bae, Wonsil [1 ]
Kim, Hyemin [1 ]
Won, Kyungho [4 ]
Hyun, Tae Kyung [5 ]
Ryu, Hojin [1 ]
机构
[1] Chungbuk Natl Univ, Dept Biol, Cheongju 28644, South Korea
[2] DNA Link Inc, Bioinformat Team, Seoul 03721, South Korea
[3] Rural Dev Adm, Natl Inst Hort & Herbal Sci, Dept Herbal Crop Res, Eumseong 27709, South Korea
[4] Rural Dev Adm, Natl Inst Hort & Herbal Sci, Pear Res Inst, Naju 58126, South Korea
[5] Chungbuk Natl Univ, Dept Ind Plant Sci & Technol, Cheongju 28644, South Korea
来源
PLANT PATHOLOGY JOURNAL | 2017年 / 33卷 / 04期
关键词
next-generation sequencing; pathogenic gene; phytopathogen; Rosellinia necatrix; transcriptome; RICE BLAST FUNGUS; PLANT INFECTION; ANNOTATION; SECRETION; EFFECTORS; GENOMES; ENZYMES; BIOLOGY; MODEL;
D O I
10.5423/PPJ.OA.03.2017.0046
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
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.
引用
收藏
页码:362 / 369
页数:8
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