Linking Fungal Genomics to Thermal Growth Limits: A Dataset of 730 Sequenced Species

William Bains ()
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William Bains: School of Physics & Astronomy, Cardiff University, 4 The Parade, Cardiff CF24 3AA, UK

Data, 2025, vol. 10, issue 4, 1-12

Abstract: The response of fungal species to changes in temperature is of theoretical and practical importance in a world of changing temperatures, ecologies and populations. Genomic sequencing to identify fungal species and their potential metabolic capabilities is well established, but linking this to growth temperature conditions has been limited. To that end, I describe a dataset that brings together the maximum and minimum temperature growth limits for 730 species of Fungi and Oomycetes for which genome sequences are available, together with supporting proteome and taxonomic data and literature references. The set will provide an entry for studies into how genomic structure and sequence can be used to predict the potential for growth at low or high temperatures, and hence the potential industrial use or pathogenic liability of existing or new fungal species.

Keywords: fungi; growth; temperature; genome; proteome (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2025
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