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外来入侵植物病原体:新型检测方法的必要性

Invasive Alien Plant Pathogens: The Need of New Detection Methods.

作者信息

Santini Alberto, Migliorini Duccio

机构信息

National Research Council, Institute for Sustainable Plant Protection, (CNR-IPSP), Sesto Fiorentino, Florence, Italy.

出版信息

Methods Mol Biol. 2022;2536:111-118. doi: 10.1007/978-1-0716-2517-0_7.

DOI:10.1007/978-1-0716-2517-0_7
PMID:35819601
Abstract

Invasive alien species are a major threat to natural and anthropogenic ecosystems and to the economy. Many invasive fungal species have severely impacted ecology and human lifestyle in the past. Most of them express a pathogenic lifestyle following introduction into a new region and hosts. They are usually cryptic during the introduction phase and hard to be identified, classified, and monitored.The increasing number of new alien pests coincide with the rapid increase in the volume and diversity of intercontinental trade in plants for planting, underlying the need to reduce the risk of their introduction with the development of molecular-based, inexpensive, rapid, accurate, and reliable methods that can identify and intercept plant pathogens even before symptoms occur in the new environment of diffusion. Applicative aerobiology, for instance, represents a challenging research line for the implementation of pest detection protocols during the early stage of fungal introduction, being capable to target aerial dispersed propagules.In addition to this, new metabarcoding protocols based on an innovative multigene approach, although not yet tested on fungi, are able to provide an output with very high taxonomic resolution and are likely to be considered in the next-future biosurveillance of invasive fungal pathogens.

摘要

外来入侵物种对自然和人为生态系统以及经济构成重大威胁。过去,许多入侵真菌物种对生态和人类生活方式造成了严重影响。它们中的大多数在引入新区域和宿主后表现出致病性生活方式。在引入阶段,它们通常难以察觉,难以识别、分类和监测。新出现的外来有害生物数量不断增加,与此同时,用于种植的植物的洲际贸易量和多样性迅速增长,这凸显了随着基于分子的、廉价、快速、准确和可靠的方法的发展来降低其引入风险的必要性,这些方法甚至可以在新的扩散环境中症状出现之前识别和拦截植物病原体。例如,应用空气生物学是在真菌引入早期实施害虫检测方案的一个具有挑战性的研究方向,它能够针对空中传播的繁殖体。除此之外,基于创新多基因方法的新元条形码协议虽然尚未在真菌上进行测试,但能够提供具有非常高分类分辨率的结果,并且很可能在未来对入侵真菌病原体的生物监测中得到考虑。

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Mol Ecol. 2021 Oct;30(20):4970-4990. doi: 10.1111/mec.15811. Epub 2021 Feb 17.
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Comparison of qPCR and Metabarcoding Methods as Tools for the Detection of Airborne Inoculum of Forest Fungal Pathogens.qPCR 和代谢组学方法在检测森林真菌病原体空气接种体中的比较。
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Scientists' warning on invasive alien species.
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