Apple Valsa canker: insights into pathogenesis and disease control

IF 3.2 2区 农林科学 Q2 PLANT SCIENCES Phytopathology Research Pub Date : 2023-09-15 DOI:10.1186/s42483-023-00200-1
Hao Feng, Chengli Wang, Yanting He, Lin Tang, Pengliang Han, Jiahao Liang, Lili Huang
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Abstract

Abstract Apple Valsa canker (AVC) has caused significant losses worldwide, especially in East Asia. Various fungal species from the genus Cytospora / Valsa can infect tree bark and cause tissue rot, and Valsa mali ( Vm ) is responsible for the most severe tree branch deaths and yield losses. Since AVC was first reported in Japan in 1903, the pathogen species, biological characteristics, infection and pathogenesis, spore dissemination, and disease cycle have been intensively investigated. Based on the new cognition of the disease dynamics, the disease control strategy has shifted from scraping diseased tissue to protecting the bark from infection. In this review, we summarize new knowledge of the Vm infection process mediated by various kinds of virulence factors, including cell wall degrading enzymes, toxins, effectors, microRNA-like RNAs, and pathogenic signaling regulators. We also introduce progress in evaluating germplasm resources and identifying disease response-related genes in apples. In addition, we elaborate current understanding of spore dissemination and disease cycles in orchards and disease prevention techniques. Finally, we provide recommendations for developing more cost-effective strategies for controlling AVC by applying genetic resistance and biological fungicides.
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苹果溃疡病:发病机制和疾病控制的见解
摘要苹果瓦尔萨溃疡病(AVC)在世界范围内造成了重大损失,特别是在东亚地区。来自胞孢菌属(Cytospora / Valsa)的各种真菌可以感染树皮并引起组织腐烂,其中Valsa mali (Vm)是造成最严重的树枝死亡和产量损失的罪魁祸首。自1903年日本首次报道AVC以来,人们对AVC的病原种类、生物学特性、感染和发病机制、孢子传播和疾病周期进行了深入的研究。基于对疾病动力学的新认识,疾病控制策略从刮除病变组织转向保护树皮免受感染。在这篇综述中,我们总结了各种毒力因子介导的Vm感染过程的新知识,包括细胞壁降解酶、毒素、效应物、microrna样rna和致病性信号调节因子。介绍了苹果种质资源评价和病害反应相关基因鉴定的进展。此外,我们还阐述了目前对果园孢子传播和疾病周期的理解以及疾病预防技术。最后,我们提出了利用遗传抗性和生物杀菌剂开发更经济有效的防治AVC策略的建议。
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来源期刊
Phytopathology Research
Phytopathology Research PLANT SCIENCES-
CiteScore
3.30
自引率
5.90%
发文量
40
审稿时长
15 weeks
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