MIST: a Multilocus Identification System for <i>Trichoderma</i>
Kai Dou, Zhixiang Lu, Qiong Wu, Mi Ni, Chuanjin Yu, Meng Wang, Yaqian Li, Xinhua Wang, Huilan Xie, Jie Chen, Chu‐Long Zhang
Abstract
The genus Trichoderma is important to humankind, with a wide range of applications in industry, agriculture, and bioremediation. Thus, quick and accurate identification of Trichoderma species is paramount, since it is usually the first step in Trichoderma -based research. However, it frequently becomes a limitation, especially for researchers who lack taxonomic knowledge of fungi. Moreover, as the number of Trichoderma -based studies has increased, a growing number of unidentified sequences have been stored in public databases, which has made the species identification more ambiguous. In this study, we provide an easy-to-use tool, MIST, for automated species identification, a list of Trichoderma species, and corresponding sequences of reference DNA barcodes. Therefore, this study will facilitate the research on the biodiversity and applications of the genus Trichoderma .