TY - JOUR
T1 - Comprehensive fungal community analysis of house dust using next-generation sequencing
AU - Izawa, Kazuki
AU - Kubosaki, Atsutaka
AU - Kobayashi, Naoki
AU - Akiyama, Yutaka
AU - Yamazaki, Akiko
AU - Hashimoto, Kazuhiro
AU - Konuma, Rumi
AU - Kamata, Yoichi
AU - Hara-Kudo, Yukiko
AU - Hasegawa, Kenichi
AU - Ikaga, Toshiharu
AU - Watanabe, Maiko
N1 - Funding Information:
Funding: This work was supported by JSPS KAKENHI Grant Number JP17H06151.
Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2020/8/2
Y1 - 2020/8/2
N2 - 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.
AB - 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.
KW - Fungal community analysis
KW - House dust
KW - ITS region
KW - Next-generation sequencing
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U2 - 10.3390/ijerph17165842
DO - 10.3390/ijerph17165842
M3 - Article
C2 - 32806670
AN - SCOPUS:85089627106
SN - 1661-7827
VL - 17
SP - 1
EP - 11
JO - International Journal of Environmental Research and Public Health
JF - International Journal of Environmental Research and Public Health
IS - 16
M1 - 5842
ER -