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Whole-genome assembly of Ganoderma leucocontextum (Ganodermataceae, Fungi) discovered from the Tibetan Plateau of China

Summary

Scientists have decoded the complete genetic blueprint of Ganoderma leucocontextum, a medicinal mushroom discovered in Tibet. This research helps us understand how this fungus produces beneficial compounds that can help treat various diseases. Impact on everyday life: – Could lead to better production of natural medicines for treating cancer, diabetes and other diseases – May help develop more effective cultivation methods for growing medicinal mushrooms – Provides insight into developing new natural antioxidant and anti-aging products – Could enable more efficient production of immune-boosting supplements – May lead to development of more affordable natural alternatives to synthetic drugs

Background

Ganoderma leucocontextum is a newly discovered medicinal species of Ganodermataceae first found in Tibet, China in 2015. It has diverse pharmacological activities and is widely cultivated in southwest China, but systematic genetic study has been impeded by the lack of a reference genome.

Objective

To present the first whole-genome assembly and annotation of G. leucocontextum based on Illumina and Nanopore sequencing platforms from high-quality DNA extracted from a monokaryon strain (DH-8).

Results

The generated genome was 50.05 Mb in size with an N50 scaffold size of 3.06 Mb, containing 78,206 coding sequences and 13,390 putative genes. Genome completeness assessment using BUSCO identified 96.55% of the 280 Fungi BUSCO genes. Analysis revealed G. leucocontextum has more genes related to terpenoids synthesis compared to G. lucidum.

Conclusion

This is the first genome assembly and annotation for G. leucocontextum, which enriches the toolbox for biological and genetic studies of this species. The genome analysis provides insights into the biosynthesis of active secondary metabolites and can serve as a theoretical reference for the development and application of the Ganoderma industry.
  • Published in:G3: Genes | Genomes | Genetics,
  • Study Type:Genomic Analysis,
  • Source: 10.1093/g3journal/jkab337
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