Comprehensive Fungal Community Analysis of House Dust Using Next-Generation Sequencing

Kazuki Izawa, Atsutaka Kubosaki, Naoki Kobayashi, Yutaka Akiyama, Akiko Yamazaki, Kazuhiro Hashimoto, Rumi Konuma, Yoichi Kamata, Yukiko Hara-Kudo, Kenichi Hasegawa, Toshiharu Ikaga and Maiko Watanabe
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Kazuki Izawa: Department of Computer Science, School of Computing, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan
Atsutaka Kubosaki: Division of Microbiology, National Institute of Health Sciences, Kawasaki-ku, Kawasaki, Kanagawa 210-9501, Japan
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
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
Yukiko Hara-Kudo: Division of Microbiology, National Institute of Health Sciences, Kawasaki-ku, Kawasaki, Kanagawa 210-9501, Japan
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

IJERPH, 2020, vol. 17, issue 16, 1-11

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.

Keywords: house dust; fungal community analysis; ITS region; next-generation sequencing (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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