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

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.

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Data
Published
2025-03-25
DOI
https://doi.org/10.3390/data10040042
Citations
1
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
1.75
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article

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

William Bains
1 citations
Data
Mycorrhizal Fungi and Plant Interactions
1.75
article

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

William Bains
article en
1 citations

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.

DataVol. 10(4)
Cardiff University (GB)
Openalex Percentile: Top 17%
Mycorrhizal Fungi and Plant Interactions
1.75
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