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Int. J. Mol. Sci. 2018, 19(1), 31; https://doi.org/10.3390/ijms19010031

Transcriptome Analysis of Tomato Leaf Spot Pathogen Fusarium proliferatum: De novo Assembly, Expression Profiling, and Identification of Candidate Effectors

1
School of Life Science and Biotechnology, Dalian University of Technology, Dalian 116024, China
2
School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China
3
College of Food Science and Engineering, Northwest A&F University, Yangling 712100, China
4
School of Food and Environmental Science and Technology, Dalian University of Technology, Panjin124221, China
*
Authors to whom correspondence should be addressed.
Received: 10 October 2017 / Revised: 10 December 2017 / Accepted: 17 December 2017 / Published: 22 December 2017
(This article belongs to the Special Issue Plant Microbe Interaction 2017)
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Abstract

Leaf spot disease caused by the fungus Fusarium proliferatum (Matsushima) Nirenberg is a destructive disease of tomato plants in China. Typical symptoms of infected tomato plants are softened and wilted stems and leaves, leading to the eventual death of the entire plant. In this study, we resorted to transcriptional profile analysis to gain insight into the repertoire of effectors involved in F. proliferatum–tomato interactions. A total of 61,544,598 clean reads were de novo assembled to provide a F. proliferatum reference transcriptome. From these, 75,044 unigenes were obtained, with 19.46% of the unigenes being assigned to 276 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, with 22.3% having a homology with genes from F. fujikuroi. A total of 18,075 differentially expressed genes (DEGs) were identified, 720 of which were found to code for secreted proteins. Of these, 184 were identified as candidate effectors, while 79.89% had an upregulated expression. Moreover, 17 genes that were differentially expressed in RNA-seq studies were randomly selected for validation by quantitative real-time polymerase chain reaction (qRT–PCR). The study demonstrates that transcriptome analysis could be an effective method for identifying the repertoire of candidate effectors and may provide an invaluable resource for future functional analyses of F. proliferatum pathogenicity in F. proliferatum and tomato plant–host interactions. View Full-Text
Keywords: Fusarium proliferatum; tomato plants; effector; pathogenicity; DEGs Fusarium proliferatum; tomato plants; effector; pathogenicity; DEGs
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Gao, M.; Yao, S.; Liu, Y.; Yu, H.; Xu, P.; Sun, W.; Pu, Z.; Hou, H.; Bao, Y. Transcriptome Analysis of Tomato Leaf Spot Pathogen Fusarium proliferatum: De novo Assembly, Expression Profiling, and Identification of Candidate Effectors. Int. J. Mol. Sci. 2018, 19, 31.

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