Literature DB >> 33505371

Genome Assembly and Transcriptome Analysis of the Fungus Coniella diplodiella During Infection on Grapevine (Vitis vinifera L.).

Ruitao Liu1, Yiming Wang2, Peng Li1, Lei Sun1, Jianfu Jiang1, Xiucai Fan1, Chonghuai Liu1, Ying Zhang1.   

Abstract

Grape white rot caused by Coniella diplodiella (Speg.) affects the production and quality of grapevine in China and other grapevine-growing countries. Despite the importance of C. diplodiella as a serious disease-causing agent in grape, the genome information and molecular mechanisms underlying its pathogenicity are poorly understood. To bridge this gap, 40.93 Mbp of C. diplodiella strain WR01 was de novo assembled. A total of 9,403 putative protein-coding genes were predicted. Among these, 608 and 248 genes are potentially secreted proteins and candidate effector proteins (CEPs), respectively. Additionally, the transcriptome of C. diplodiella was analyzed after feeding with crude grapevine leaf homogenates, which reveals the transcriptional expression of 9,115 genes. Gene ontology enrichment analysis indicated that the highly enriched genes are related with carbohydrate metabolism and secondary metabolite synthesis. Forty-three putative effectors were cloned from C. diplodiella, and applied for further functional analysis. Among them, one protein exhibited strong effect in the suppression of BCL2-associated X (BAX)-induced hypersensitive response after transiently expressed in Nicotiana benthamiana leaves. This work facilitates valuable genetic basis for understanding the molecular mechanism underlying C. diplodiella-grapevine interaction.
Copyright © 2021 Liu, Wang, Li, Sun, Jiang, Fan, Liu and Zhang.

Entities:  

Keywords:  Coniella diplodiella; effector; genome assembly; grapevine; pathogenicity; transcriptome

Year:  2021        PMID: 33505371      PMCID: PMC7829486          DOI: 10.3389/fmicb.2020.599150

Source DB:  PubMed          Journal:  Front Microbiol        ISSN: 1664-302X            Impact factor:   5.640


  65 in total

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Review 3.  Effectors of Filamentous Plant Pathogens: Commonalities amid Diversity.

Authors:  Marina Franceschetti; Abbas Maqbool; Maximiliano J Jiménez-Dalmaroni; Helen G Pennington; Sophien Kamoun; Mark J Banfield
Journal:  Microbiol Mol Biol Rev       Date:  2017-03-29       Impact factor: 11.056

Review 4.  Regulation of fungal secondary metabolism.

Authors:  Axel A Brakhage
Journal:  Nat Rev Microbiol       Date:  2012-11-26       Impact factor: 60.633

Review 5.  Phytopathogen effectors subverting host immunity: different foes, similar battleground.

Authors:  Daolong Dou; Jian-Min Zhou
Journal:  Cell Host Microbe       Date:  2012-10-18       Impact factor: 21.023

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Authors:  O Emanuelsson; H Nielsen; S Brunak; G von Heijne
Journal:  J Mol Biol       Date:  2000-07-21       Impact factor: 5.469

7.  RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.

Authors:  Bo Li; Colin N Dewey
Journal:  BMC Bioinformatics       Date:  2011-08-04       Impact factor: 3.307

8.  RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies.

Authors:  Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2014-01-21       Impact factor: 6.937

9.  Candidate effector proteins of the necrotrophic apple canker pathogen Valsa mali can suppress BAX-induced PCD.

Authors:  Zhengpeng Li; Zhiyuan Yin; Yanyun Fan; Ming Xu; Zhensheng Kang; Lili Huang
Journal:  Front Plant Sci       Date:  2015-07-27       Impact factor: 5.753

Review 10.  Secondary metabolites in fungus-plant interactions.

Authors:  Tünde Pusztahelyi; Imre J Holb; István Pócsi
Journal:  Front Plant Sci       Date:  2015-08-06       Impact factor: 5.753

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  2 in total

1.  Suppression of Grape White Rot Caused by Coniella vitis Using the Potential Biocontrol Agent Bacillus velezensis GSBZ09.

Authors:  Xiangtian Yin; Tinggang Li; Xilong Jiang; Xiaoning Tang; Jiakui Zhang; Lifang Yuan; Yanfeng Wei
Journal:  Pathogens       Date:  2022-02-14

Review 2.  Fungal secondary metabolites in food and pharmaceuticals in the era of multi-omics.

Authors:  Akshay Shankar; Krishna Kant Sharma
Journal:  Appl Microbiol Biotechnol       Date:  2022-05-12       Impact factor: 5.560

  2 in total

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