Suppr超能文献

用于真菌鉴定的MicroSeq D2 LSU真菌测序试剂盒的质量检测。

Quality test of the MicroSeq D2 LSU Fungal Sequencing Kit for the identification of fungi.

作者信息

Rozynek Peter, Gilges Susanne, Brüning Thomas, Wilhelm Michael

机构信息

Research Institute for Occupational Medicine of the Institutions for Statutory Accident Insurance and Prevention (BGFA), Institute at the Ruhr-University Bochum, Bochum, Germany.

出版信息

Int J Hyg Environ Health. 2004 Jul;207(3):297-9. doi: 10.1078/1438-4639-00289.

Abstract

Fungal contaminants may be health risk factors in general indoor and occupational environments. The identification of microfungi by macro- and micro-morphological characters is known to be very difficult and time consuming. An alternative method for identification of fungi using a molecular biological method based on a commercially available kit is described. The method is based on the DNA-extraction and subsequent amplification of the D2 expansion region of the large subunit of the fungal rDNA. DNA extraction, amplification, sequencing and database screening can be performed within 24 hours. A total of 28 different fungal species were identified on a morphological basis and compared with identification by the molecular biological method. The database comparison revealed identification down to the species for 12 samples and to the genus level of 11 samples. Five samples could not be identified. It is concluded that the identification of fungi by molecular biological method needs to be improved. This can partly be reached by expanding the fungal DNA-sequence datasets.

摘要

在一般室内和职业环境中,真菌污染物可能是健康风险因素。通过宏观和微观形态特征鉴定微真菌非常困难且耗时。本文描述了一种基于市售试剂盒的分子生物学方法来鉴定真菌的替代方法。该方法基于真菌核糖体大亚基D2扩展区域的DNA提取及后续扩增。DNA提取、扩增、测序和数据库筛选可在24小时内完成。基于形态学共鉴定出28种不同的真菌物种,并与分子生物学方法的鉴定结果进行比较。数据库比对显示,12个样本可鉴定到种,11个样本可鉴定到属水平。5个样本无法鉴定。结论是,通过分子生物学方法鉴定真菌仍需改进。这可以通过扩大真菌DNA序列数据集部分实现。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验