Two new species of Periconia and a new record of Paramonodictys from Miscanthus sinensis in Guizhou Province, China

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Authors: Li-Juan Zhang, Hong-xiu LIU, Yan-Ling Yang, Xing-Juan Xiao, Xiang-Fu Liu, Ning-Guo Liu, Yong-Zhong Lu
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Abstract

This dataset contains the digitized treatments in Plazi based on the original journal article Zhang, Li-Juan, Liu, Hong-Xiu, Yang, Yan-Ling, Xiao, Xing-Juan, Liu, Xiang-Fu, Liu, Ning-Guo, Lu, Yong-Zhong (2026): Two new species of Periconia and a new record of Paramonodictys from Miscanthus sinensis in Guizhou Province, China. MycoKeys 127: 239-262, DOI: 10.3897/mycokeys.127.180874AbstractMiscanthus is a widely distributed perennial grass in the family Poaceae that hosts a diverse fungal community. During a mycological survey conducted in the Maolan National Nature Reserve, Guizhou Province, China, three fungal isolates were obtained from dead leaves of Miscanthus sinensis. Multi-gene phylogenetic analyses of the internal transcribed spacer (ITS), large subunit (LSU), small subunit (SSU), and tef 1 - α sequence data indicated that the new isolates represent two new species, Periconia guizhouensis and Pe. miscanthusensis, and one new host record of Paramonodictys globosa. Periconia guizhouensis is distinct from its phylogenetically closest species in having globose to fusiform, guttulate, aseptate conidia with an inconspicuously verrucose surface. Periconia miscanthusensis is distinct from its phylogenetically closest species in having apically branched conidiophores produced in acropetal chains and globose, verrucose, aseptate conidia. Comprehensive descriptions, micrographs, and phylogenetic analysis results are provided. Furthermore, these findings enhance understanding of fungi associated with Miscanthus and expand current knowledge of fungal diversity in China.

Fields of Study & Subjects

Plant Pathogens and Fungal Diseases Yeasts and Rust Fungi Studies Entomopathogenic Microorganisms in Pest Control

Publication details

Journal / source
Global Biodiversity Information Facility
Publication date
27 January 2026
Language
EN
Document type
Dataset