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https://invertebratefungi.org/: an expert-curated web-based platform for the identification and classification of invertebrate-associated fungi and fungus-like organisms.
Wei, De-Ping; Gentekaki, Eleni; Hyde, Kevin D; Xiao, Yuan-Pin; Luangharn, Thatsanee; Tian, Qing; Wang, Yuan-Bing; Lumyong, Saisamorn.
Affiliation
  • Wei DP; CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Panlong District, Kunming, Yunnan, P.R. 650201, China.
  • Gentekaki E; Center of Excellence in Fungal Research (CEFR), Mae Fah Luang University, Muang District, Chiang Rai 57100, Thailand.
  • Hyde KD; Department of Entomology and Plant Pathology, Faculty of Agriculture, Chiang Mai University, Mueang Chiang Mai, Chiang Mai 50200, Thailand.
  • Xiao YP; Center of Excellence in Fungal Research (CEFR), Mae Fah Luang University, Muang District, Chiang Rai 57100, Thailand.
  • Luangharn T; School of Science, Mae Fah Luang University, Muang District, Chiang Rai 57100, Thailand.
  • Tian Q; CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Panlong District, Kunming, Yunnan, P.R. 650201, China.
  • Wang YB; Center of Excellence in Fungal Research (CEFR), Mae Fah Luang University, Muang District, Chiang Rai 57100, Thailand.
  • Lumyong S; Innovative Institute of Plant Health, Zhongkai University of Agriculture and Engineering, Haizhu District, Guangzhou 510225, P.R. China.
Database (Oxford) ; 20222022 04 01.
Article in En | MEDLINE | ID: mdl-35363307

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Invertebrates Type of study: Diagnostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Database (Oxford) Year: 2022 Document type: Article Affiliation country: China Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Invertebrates Type of study: Diagnostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Database (Oxford) Year: 2022 Document type: Article Affiliation country: China Country of publication: United kingdom