RT Journal Article T1 Annotating public fungal ITS sequences from the built environment according to the MIxS-Built Environment standard – a report from a May 23-24, 2016 workshop (Gothenburg, Sweden) JF MycoKeys JO MC FD Pensoft Publishers DO 10.3897/mycokeys.16.10000 VO 16 A1 Abarenkov, Kessy A1 Adams, Rachel I. A1 Laszlo, Irinyi A1 Agan, Ahto A1 Ambrosio, Elia A1 Antonelli, Alexandre A1 Bahram, Mohammad A1 Bengtsson-Palme, Johan A1 Bok, Gunilla A1 Cangren, Patrik A1 Coimbra, Victor A1 Coleine, Claudia A1 Gustafsson, Claes A1 He, Jinhong A1 Hofmann, Tobias A1 Kristiansson, Erik A1 Larsson, Ellen A1 Larsson, Tomas A1 Liu, Yingkui A1 Martinsson, Svante A1 Meyer, Wieland A1 Panova, Marina A1 Pombubpa, Nuttapon A1 Ritter, Camila A1 Ryberg, Martin A1 Svantesson, Sten A1 Scharn, Ruud A1 Svensson, Ola A1 Töpel, Mats A1 Unterseher, Martin A1 Visagie, Cobus A1 Wurzbacher, Christian A1 Taylor, Andy F.S. A1 Kõljalg, Urmas A1 Schriml, Lynn A1 Nilsson, R. Henrik YR 2016 UL https://doi.org/10.3897/mycokeys.16.10000 AB Recent molecular studies have identified substantial fungal diversity in indoor environments. Fungi and fungal particles have been linked to a range of potentially unwanted effects in the built environment, including asthma, decay of building materials, and food spoilage. The study of the built mycobiome is hampered by a number of constraints, one of which is the poor state of the metadata annotation of fungal DNA sequences from the built environment in public databases. In order to enable precise interrogation of such data – for example, “retrieve all fungal sequences recovered from bathrooms” – a workshop was organized at the University of Gothenburg (May 23-24, 2016) to annotate public fungal barcode (ITS) sequences according to the MIxS-Built Environment annotation standard (http://gensc.org/mixs/). The 36 participants assembled a total of 45,488 data points from the published literature, including the addition of 8,430 instances of countries of collection from a total of 83 countries, 5,801 instances of building types, and 3,876 instances of surface-air contaminants. The results were implemented in the UNITE database for molecular identification of fungi (http://unite.ut.ee) and were shared with other online resources. Data obtained from human/animal pathogenic fungi will furthermore be verified on culture based metadata for subsequent inclusion in the ISHAM-ITS database (http://its.mycologylab.org).