Opportunities from fundamental fungal biology
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Opportunities from fundamental fungal biology

5.4.1

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Opportunities from fundamental fungal biology

About 150,000 fungal species have been described: physical forms range from macroscopic mushrooms to single-celled yeasts. It is worth noting that discoveries made in yeast alone have netted six Nobel prizes. However, some newly identified genetic and molecular structures are not known to exist within any of these organisms, which suggests that existing samples represent only a tiny fraction of the morphological diversity of the fungal kingdom. There is progress here, though: AI and machine learning and imaging advances are beginning to help researchers develop a taxonomy.

Future Horizons:

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5-yearhorizon

Research gains better knowledge of known fungi

Single-particle analysis reveals structures at very high resolution, leading to drug optimisation. Rapid advances in computing power allows us to reassemble structures in three dimensions for modelling and investigation, including molecular mechanisms of fungi infecting other organisms. Metagenomic sequencing in fungi matures.

10-yearhorizon

The fungal family tree is filled in with known unknowns

Machine learning and AI allow us to determine phenotype and behaviour from DNA. Diverse new model organisms can be cultured and manipulated thanks to CRISPR. Documenting fungi gets 10 to 100 times cheaper thanks to advances in sequencing technology.

25-yearhorizon

Understanding of the unknown unknowns progresses

The function of “hypothetical” proteins is characterised to determine links between fungi and human diseases. Metagenomics characterise specific fungal strains from scraps of DNA found in the wild. New standardised techniques enable faster and cheaper sequencing of genomes. A repository is built for globally sourced fungal culture collections, where samples are archived and maintained for biosecurity and research purposes.

Furthering research on fungi will require more model organisms. Although most fungi are difficult if not impossible to culture in the laboratory, their DNA can be separated from their symbionts and identified using metagenomics, and editing their genes with CRISPR should make them culturable. Their interaction with other organisms can be elucidated with new imaging advances.

Even in some well-characterised species, between 20 and 30 per cent of genes and gene clusters are either unknown or only hypothetically associated with human disease, and need to be better characterised. Pangenome approaches will illuminate biochemical pathways, including those that underpin disease associations such as the (currently controversial) link between Aspergillus sydowii and lung cancer.3

Fungal biobanks and seed-bank-like repositories could help decode the relationship between genotype and phenotype in the same way that biobanks of genes have helped research.4 Building and maintaining culture collections are also important tasks if we are to retain archival knowledge of diverse fungal species, many of which are dying in the mass extinction — and to understand what spurs fungal evolution and extinction.

Opportunities from fundamental fungal biology - Anticipation Scores

The Anticipation Potential of a research field is determined by the capacity for impactful action in the present, considering possible future transformative breakthroughs in a field over a 25-year outlook. A field with a high Anticipation Potential, therefore, combines the potential range of future transformative possibilities engendered by a research area with a wide field of opportunities for action in the present. We asked researchers in the field to anticipate:

  1. The uncertainty related to future science breakthroughs in the field
  2. The transformative effect anticipated breakthroughs may have on research and society
  3. The scope for action in the present in relation to anticipated breakthroughs.

This chart represents a summary of their responses to each of these elements, which when combined, provide the Anticipation Potential for the topic. See methodology for more information.