Current trends, limitations and future research in the fungi?

作者：Kevin D. Hyde, Petr Baldrián, Yanpeng Chen, K. W. Thilini Chethana, Sybren de Hoog, Mingkwan Doilom, Antônio Roberto Gomes de Farias, Micael F. M. Gonçalves, Didsanutda Gonkhom, Heng Gui, Sandra Hilário, Yuwei Hu, Ruvishika S. Jayawardena, Sabin Khyaju, Paul M. Kirk, Petr Kohout, Thatsanee Luangharn, Sajeewa S. N. Maharachchikumbura, Ishara S. Manawasinghe, Peter E. Mortimer, Allen Grace T. Niego, Monthien Phonemany, Birthe Sandargo, Indunil C. Senanayake, Marc Stadler, Frank Surup, Naritsada Thongklang, Dhanushka N. Wanasinghe, Ali H. Bahkali, Arttapon Walker · 发表于：Fungal Diversity · 年份：2024 · DOI：10.1007/s13225-023-00532-5 · 被引用次数：119 · 研究领域：Mycorrhizal Fungi and Plant Interactions、Plant Pathogens and Fungal Diseases、Fungal Biology and Applications

Abstract The field of mycology has grown from an underappreciated subset of botany, to a valuable, modern scientific discipline. As this field of study has grown, there have been significant contributions to science, technology, and industry, highlighting the value of fungi in the modern era. This paper looks at the current research, along with the existing limitations, and suggests future areas where scientists can focus their efforts, in the field mycology. We show how fungi have become important emerging diseases in medical mycology. We discuss current trends and the potential of fungi in drug and novel compound discovery. We explore the current trends in phylogenomics, its potential, and outcomes and address the question of how phylogenomics can be applied in fungal ecology. In addition, the trends in functional genomics studies of fungi are discussed with their importance in unravelling the intricate mechanisms underlying fungal behaviour, interactions, and adaptations, paving the way for a comprehensive understanding of fungal biology. We look at the current research in building materials, how they can be used as carbon sinks, and how fungi can be used in biocircular economies. The numbers of fungi have always been of great interest and have often been written about and estimates have varied greatly. Thus, we discuss current trends and future research needs in order to obtain more reliable estimates. We address the aspects of machine learning (AI) and how it can be used...