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

Author

Listed:
  • Kazuki Izawa

    (Department of Computer Science, School of Computing, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan
    These authors contributed equally to this work.)

  • Atsutaka Kubosaki

    (Division of Microbiology, National Institute of Health Sciences, Kawasaki-ku, Kawasaki, Kanagawa 210-9501, Japan
    These authors contributed equally to this work.)

  • 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
    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)

  • 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)

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.

Suggested Citation

  • Kazuki Izawa & Atsutaka Kubosaki & Naoki Kobayashi & Yutaka Akiyama & Akiko Yamazaki & Kazuhiro Hashimoto & Rumi Konuma & Yoichi Kamata & Yukiko Hara-Kudo & Kenichi Hasegawa & Toshiharu Ikaga & Maiko , 2020. "Comprehensive Fungal Community Analysis of House Dust Using Next-Generation Sequencing," IJERPH, MDPI, vol. 17(16), pages 1-11, August.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5842-:d:398023
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