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Izawa K, Kubosaki A, Kobayashi N, Akiyama Y, Yamazaki A, Hashimoto K, Konuma R, Kamata Y, Hara-Kudo Y, Hasegawa K, Ikaga T, Watanabe M. Comprehensive Fungal Community Analysis of House Dust Using Next-Generation Sequencing. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17165842. [PMID: 32806670 PMCID: PMC7460106 DOI: 10.3390/ijerph17165842] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 07/21/2020] [Accepted: 08/07/2020] [Indexed: 12/04/2022]
Abstract
Fungal community analyses in homes have been attracting attention because fungi are now generally considered to be allergens. Currently, these analyses are generally conducted using the culture method, although fungal communities in households often contain species that are difficult to culture. In contrast, next-generation sequencing (NGS) represents a comprehensive, labor- and time-saving approach that can facilitate species identification. However, the reliability of the NGS method has not been compared to that of the culture method. In this study, in an attempt to demonstrate the reliability of this application, we used the NGS method to target the internal transcribed spacer 1 (ITS1) in the fungal genome, conducted fungal community analyses for 18 house-dust samples and analyzed fungal community structures. The NGS method positively correlated with the culture method regarding the relative abundance of Aspergillus, Penicillium, Cladosporium and yeasts, which represent the major fungal components found in houses. Furthermore, several genera, such as Malassezia, could be sensitively detected. Our results imply that the reliability of the NGS method is comparable to that of the culture method and indicates that easily available databases may require modifications, including the removal of registrations that have not been sufficiently classified at the genus level.
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Affiliation(s)
- Kazuki Izawa
- Department of Computer Science, School of Computing, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan; (K.I.); (Y.A.)
| | - Atsutaka Kubosaki
- Division of Microbiology, National Institute of Health Sciences, Kawasaki-ku, Kawasaki, Kanagawa 210-9501, Japan; (A.K.); (Y.H.-K.)
| | - Naoki Kobayashi
- Department of Food and Life Science, School of Life and Environmental Science, Azabu University, Chuo-ku, Sagamihara, Kanagawa 252-5201, Japan;
| | - Yutaka Akiyama
- Department of Computer Science, School of Computing, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan; (K.I.); (Y.A.)
| | - Akiko Yamazaki
- Department of Veterinary Medicine, Faculty of Agriculture, Iwate University, Morioka, Iwate 020-8550, Japan;
| | - Kazuhiro Hashimoto
- Laboratory of Integrated Pest Management, FCG Research Institute, Inc., Koto-ku, Tokyo 135-0064, Japan;
| | - Rumi Konuma
- Tokyo Metropolitan Industrial Technology Research Institute, Koto-ku, Tokyo 135-0064, Japan;
| | - Yoichi Kamata
- Department of Food Design, Faculty of Nutritional Science, Koshien University, Takarazuka, Hyogo 665-0006, Japan;
- Department of Food and Nutrition, Faculty of Human Life Science, Senri Kinran University, Suita, Osaka 565-0873, Japan
| | - Yukiko Hara-Kudo
- Division of Microbiology, National Institute of Health Sciences, Kawasaki-ku, Kawasaki, Kanagawa 210-9501, Japan; (A.K.); (Y.H.-K.)
| | - Kenichi Hasegawa
- Department of Architecture and Environment Systems, Faculty of Systems Science and Technology, Akita Prefectural University, Yurihonjo, Akita 015-0055, Japan;
| | - Toshiharu Ikaga
- Department of System Design Engineering, Faculty of Science and Technology, Keio University, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan;
| | - Maiko Watanabe
- Division of Microbiology, National Institute of Health Sciences, Kawasaki-ku, Kawasaki, Kanagawa 210-9501, Japan; (A.K.); (Y.H.-K.)
- Correspondence: ; Tel.: +81-44-270-6573
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Green BJ, Lemons AR, Park Y, Cox-Ganser JM, Park JH. Assessment of fungal diversity in a water-damaged office building. JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE 2017; 14:285-293. [PMID: 27786737 PMCID: PMC6314010 DOI: 10.1080/15459624.2016.1252044] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Recent studies have described fungal communities in indoor environments using gene sequencing-based approaches. In this study, dust-borne fungal communities were elucidated from a water-damaged office building located in the northeastern region of the United States using internal transcribed spacer (ITS) rRNA gene sequencing. Genomic DNA was extracted from 5 mg of floor dust derived from 22 samples collected from either the lower floors (n = 8) or a top floor (n = 14) of the office building. ITS gene sequencing resolved a total of 933 ITS sequences and was clustered into 216 fungal operational taxonomic units (OTUs). Analysis of fungal OTUs at the 97% similarity threshold showed a difference between the lower and top floors that was marginally significant (p = 0.049). Species richness and diversity indices were reduced in the lower floor samples compared to the top floor samples and there was a high degree of compositional dissimilarity within and between the two different areas within the building. Fungal OTUs were placed in the phyla Ascomycota (55%), Basidiomycota (41%), Zygomycota (3%), Glomeromycota (0.4%), Chytridiomycota (0.3%), and unassigned fungi (0.5%). The Ascomycota classes with the highest relative abundances included the Dothideomycetes (30%) and Eurotiomycetes (16%). The Basidiomycota consisted of the classes Ustilaginomycetes (14%), Tremellomycetes (11%), and Agaricomycetes (8%). Sequence reads derived from the plant pathogen Ustilago syntherismae were the most abundant in the analysis as were obligate Basidiomycota yeast species that accounted for 12% and 11% of fungal ITS sequences, respectively. ITS gene sequencing provides additional insight into the diversity of fungal OTUs. These data further highlight the contribution of fungi placed in the phylum Basidiomycota, obligate yeasts, as well as xerophilic species that are typically not resolved using traditional culture methods.
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Affiliation(s)
- Brett J. Green
- Allergy and Clinical Immunology Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, West Virginia
| | - Angela R. Lemons
- Allergy and Clinical Immunology Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, West Virginia
| | - Yeonmi Park
- Field Studies Branch, Respiratory Health Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, West Virginia
| | - Jean M. Cox-Ganser
- Field Studies Branch, Respiratory Health Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, West Virginia
| | - Ju-Hyeong Park
- Field Studies Branch, Respiratory Health Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, West Virginia
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