Departamento de Fitopatologia, Universidade Federal de Viçosa, Viçosa, MG, 36570-900 Brazil.
Agricultural Research Service, National Center for Agricultural Utilization Research, U.S. Department of Agriculture, Peoria 61604, U.S.A.
Phytopathology. 2022 Apr;112(4):741-751. doi: 10.1094/PHYTO-06-21-0277-RVW. Epub 2022 Mar 18.
is ranked among the five most destructive fungal pathogens that affect agroecosystems. It causes floral diseases in small grain cereals including wheat, barley, and oats, as well as maize and rice. We conducted a systematic review of peer-reviewed studies reporting species within the species complex (FGSC) and created two main data tables. The first contained summarized data from the articles including bibliographic, geographic, methodological (ID methods), host of origin and species, while the second data table contains information about the described strains such as publication, isolate code(s), host/substrate, year of isolation, geographical coordinates, species and trichothecene genotype. Analyses of the bibliographic data obtained from 123 publications from 2000 to 2021 by 498 unique authors and published in 40 journals are summarized. We describe the frequency of species and chemotypes for 16,274 strains for which geographical information was available, either provided as raw data or extracted from the publications, and sampled across six continents and 32 countries. The database and interactive interface are publicly available, allowing for searches, summarization, and mapping of strains according to several criteria including article, country, host, species and trichothecene genotype. The database will be updated as new articles are published and should be useful for guiding future surveys and exploring factors associated with species distribution such as climate and land use. Authors are encouraged to submit data at the strain level to the database, which is accessible at https://fgsc.netlify.app.
它是影响农业生态系统的五种最具破坏性的真菌病原体之一。它会导致小粒谷类作物(包括小麦、大麦和燕麦)以及玉米和水稻的花卉病害。我们对报道种复合体(FGSC)内物种的同行评议研究进行了系统回顾,并创建了两个主要数据表。第一个表包含了文章中的摘要数据,包括书目、地理、方法学(鉴定方法)、起源宿主和物种,而第二个数据表包含了有关描述菌株的信息,如出版物、分离物代码、宿主/基质、分离年份、地理坐标、物种和三萜烯基因型。对 2000 年至 2021 年间 498 位独特作者在 40 种期刊上发表的 123 篇文章中的书目数据进行了分析。我们总结了对 16274 株具有地理信息的菌株的物种和化学型频率,这些信息要么作为原始数据提供,要么从出版物中提取,并在六大洲和 32 个国家进行采样。该数据库和交互式界面是公开的,允许根据文章、国家、宿主、物种和三萜烯基因型等标准对菌株进行搜索、总结和映射。随着新文章的发表,该数据库将不断更新,应该有助于指导未来的调查,并探索与物种分布相关的因素,如气候和土地利用。鼓励作者将菌株水平的数据提交到该数据库,该数据库可在 https://fgsc.netlify.app 上访问。
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