ORIGINAL RESEARCH article
Front. Fungal Biol.
Sec. Fungal Genomics and Evolution
Volume 6 - 2025 | doi: 10.3389/ffunb.2025.1647126
Novel and advanced MNP molecular markers accurately identify the genetic similarity of Hypsizygus marmoreus strains: a comparative evaluation with ISSR and antagonistic methods
Provisionally accepted
Honglei Zhao
Chuanzheng Wei
Tuo Zhang
Yihao ZhaoXinyue ChenZhiwen LvMenghan NieJian LiYuanzhen Liu
Baogui XieXinrui Liu*- Fujian Agriculture and Forestry University, Fuzhou, China
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Hypsizygus marmoreus is a wood-rotting fungus of significant medicinal value, extensively cultivated industrially. As the scale of production expands, the issue of "same strains with different names" has become increasingly important, necessitating an accurate, efficient, and rapid method for variety identification. In this study, we resequenced 79 strains of H. marmoreus and selected 32 strains to construct a database comprised of 369 multiple nucleotide polymorphism (MNP) molecular markers, and subsequently analyzed the genetic similarity among these strains. The results revealed that none of the 32 selected strains exhibited 100% genetic similarity. Specifically, the genetic similarity of the 369 MNP markers among the white strains ranged from 11.92% to 88.62%, while that of the gray strains ranged from 2.71% to 74.53%, indicating that the gray strains exhibited greater genetic diversity than their white counterparts. Furthermore, we compared the identification results of MNP molecular markers with those obtained from cross-plating experiments and ISSR molecular markers. This comparison highlighted the advantages of the MNP molecular marker method in terms of stability, accuracy, and high efficiency, thereby significantly contributing to the advancement of H. marmoreus strains identification and creation.
Keywords: genetic diversity, genetic similarity, Hypsizygus marmoreus, multiple nucleotidepolymorphism, Resequencing, strain differentiation
Received: 27 Jun 2025; Accepted: 06 Oct 2025.
Copyright: © 2025 Zhao, Wei, Zhang, Zhao, Chen, Lv, Nie, Li, Liu, Xie and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xinrui Liu, liuxr3623@163.com
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