Nilsson R Henrik, Taylor Andy F S, Adams Rachel I, Baschien Christiane, Cangren Patrik, Coleine Claudia, Glassman Sydney I, Hirooka Yuuri, Irinyi Laszlo, Meyer Wieland, Seifert Keith A, Sklenář Frantisek, Suh Sung-Oui, Summerbell Richard, Svantesson Sten, Weiss Michael, Woudenberg Joyce Hc, den Wyngaert Silke Van, Yilmaz Neriman, Kõljalg Urmas, Abarenkov Kessy
Department of Biological and Environmental Sciences, University of Gothenburg, Box 463, 405 30 Göteborg, Sweden.
Gothenburg Global Biodiversity Centre, Box 461, SE-405 30 Göteborg, Sweden.
MycoKeys. 2018 Jan 8(28):65-82. doi: 10.3897/mycokeys.28.20887. eCollection 2018.
Recent DNA-based studies have shown that the built environment is surprisingly rich in fungi. These indoor fungi - whether transient visitors or more persistent residents - may hold clues to the rising levels of human allergies and other medical and building-related health problems observed globally. The taxonomic identity of these fungi is crucial in such pursuits. Molecular identification of the built mycobiome is no trivial undertaking, however, given the large number of unidentified, misidentified, and technically compromised fungal sequences in public sequence databases. In addition, the sequence metadata required to make informed taxonomic decisions - such as country and host/substrate of collection - are often lacking even from reference and ex-type sequences. Here we report on a taxonomic annotation workshop (April 10-11, 2017) organized at the James Hutton Institute/University of Aberdeen (UK) to facilitate reproducible studies of the built mycobiome. The 32 participants went through public fungal ITS barcode sequences related to the built mycobiome for taxonomic and nomenclatural correctness, technical quality, and metadata availability. A total of 19,508 changes - including 4,783 name changes, 14,121 metadata annotations, and the removal of 99 technically compromised sequences - were implemented in the UNITE database for molecular identification of fungi (https://unite.ut.ee/) and shared with a range of other databases and downstream resources. Among the genera that saw the largest number of changes were , , , and , all of them of significant importance in both culture-based and culture-independent surveys of the built environment.
最近基于DNA的研究表明，建筑环境中真菌的种类惊人地丰富。这些室内真菌——无论是短暂访客还是更常住的居民——可能为全球范围内观察到的人类过敏及其他与医学和建筑相关的健康问题日益增多提供线索。这些真菌的分类身份对于此类研究至关重要。然而，鉴于公共序列数据库中存在大量未鉴定、错误鉴定以及技术上有缺陷的真菌序列，对建筑真菌群落进行分子鉴定并非易事。此外，做出明智的分类决策所需的序列元数据——如采集的国家和宿主/基质——即使在参考序列和模式序列中也常常缺失。在此，我们报告在英国阿伯丁大学詹姆斯·赫顿研究所举办的一次分类注释研讨会（2017年4月10日至11日），以促进对建筑真菌群落进行可重复研究。32名参与者检查了与建筑真菌群落相关的公共真菌ITS条形码序列，以确保分类和命名的正确性、技术质量以及元数据的可用性。在用于真菌分子鉴定的UNITE数据库（https://unite.ut.ee/）中总共实施了19508处修改——包括4783处名称更改、14121处元数据注释以及删除99条技术上有缺陷的序列——并与一系列其他数据库和下游资源共享。变化数量最多的属包括 、 、 和 ，它们在基于培养和不依赖培养的建筑环境调查中都具有重要意义。
