Due to the rapid expansion in microbial taxonomy, precise identification of common industrially and agriculturally relevant fungi such as Trichoderma species is challenging. In this study, we introduce the online multilocus identification system (MIST) for automated detection of 349 Trichoderma species based on a set of three DNA barcodes. MIST is based on the reference databases of validated sequences of three commonly used phylogenetic markers collected from public databases. The databases consist of 414 complete sequences of the nuclear rRNA internal transcribed spacers (ITS) 1 and 2, 583 sequence fragments of the gene encoding translation elongation factor 1-alpha (tef1), and 534 sequence fragments of the gene encoding RNA polymerase subunit 2 (rpb2). Through MIST, information from different DNA barcodes can be combined and the identification of Trichoderma species can be achieved based on the integrated parametric sequence similarity search (blastn) performed in the manner of a decision tree classifier. In the verification process, MIST provided correct identification for 44 Trichoderma species based on DNA barcodes consisting of tef1 and rpb2 markers. Thus, MIST can be used to obtain an automated species identification as well as to retrieve sequences required for manual identification by means of phylogenetic analysis.

中文翻译：

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MIST：用于木霉菌的多基因座鉴定系统。

由于微生物分类学的迅速发展，精确鉴定与工业和农业相关的真菌（如木霉属物种）具有挑战性。在这项研究中，我们介绍了一种在线多基因座识别系统（MIST），该系统可根据一组三个DNA条形码自动检测349种木霉属物种。MIST基于从公共数据库收集的三个常用系统发育标记的验证序列的参考数据库。该数据库由414个完整的核rRNA内部转录间隔子（ITS）1和2的完整序列组成，编码翻译延伸因子1-alpha（tef1）的基因的583个序列片段，和编码RNA聚合酶亚基2的基因的534个序列片段。 （rpb2）。通过MIST，可以组合来自不同DNA条形码的信息，并可以基于以决策树分类器执行的集成参数序列相似性搜索（blastn）来实现木霉属物种的鉴定。在验证过程中，MIST根据由tef1和rpb2标记组成的DNA条形码，对44种木霉属物种进行了正确鉴定。因此，MIST可用于获得自动物种识别，以及通过系统发育分析检索手动识别所需的序列。