Atsutaka Kubosaki
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Atsutaka Kubosaki has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Akiko Yamazaki
Laboratory of Veterinary Public Health, Department of Veterinary Sciences, Faculty of Agriculture, University of Miyazaki, Miyazaki, Japan
1 shared publication - Kazuhiro Hashimoto
FCG Research Institute Inc
1 shared publication - Kazuki Izawa
Division of Genome Safety Science, National Institute of Health Sciences (NIHS), Kawasaki City, Japan
1 shared publication - Kenichi Hasegawa
Department of Architecture and Environment Systems, Akita Prefectural University, 84-4 Tsuchiya, Akita 015-0055, Japan
1 shared publication - Maiko Watanabe
Division of Microbiology, National Institute of Health Sciences
1 shared publication - Naoki Kobayashi
Department of Food and Life Science, School of Life and Environmental Science, Azabu University, 1-17-71 Fuchinobe, Chuo-ku, Sagamihara 252-5201, Kanagawa, Japan
1 shared publication
Latest Publications
- Open Access
- 12 August 2020
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 17 (16) , 5842
Comprehensive Fungal Community Analysis of House Dust Using Next-Generation Sequencing
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.
- 12 August 2020
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 17 (16) , 5842
Open AccessComprehensive Fungal Community Analysis of House Dust Using Next-Generation Sequencing
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.