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,

Applied and Environmental Microbiology · 2020 · 50 citations · 68 references

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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 .

References

68