Department of Computer Science, School of Computing, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan.
Division of Microbiology, National Institute of Health Sciences, Kawasaki-ku, Kawasaki, Kanagawa 210-9501, Japan.
Int J Environ Res Public Health. 2020 Aug 12;17(16):5842. doi: 10.3390/ijerph17165842.
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 , , and yeasts, which represent the major fungal components found in houses. Furthermore, several genera, such as , 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.
家庭真菌群落分析越来越受到关注,因为真菌现在通常被认为是过敏原。目前,这些分析通常使用培养方法进行,尽管家庭中的真菌群落通常包含难以培养的物种。相比之下,下一代测序(NGS)代表了一种全面、节省劳动力和时间的方法,可以促进物种鉴定。然而,NGS 方法的可靠性尚未与培养方法进行比较。在这项研究中,我们试图通过使用 NGS 方法靶向真菌基因组中的内部转录间隔区 1(ITS1),对 18 个家庭灰尘样本进行真菌群落分析,并分析真菌群落结构,来证明该应用的可靠性。NGS 方法与培养方法在真菌群落的相对丰度上呈正相关,这些真菌群落代表了房屋中发现的主要真菌成分。此外,还可以敏感地检测到一些属,如 。我们的结果表明,NGS 方法的可靠性与培养方法相当,并表明可获得的数据库可能需要进行修改,包括删除未在属水平上充分分类的登记。