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Genome Sequencing of Hericium coralloides by a Combination of PacBio RS II and Next-Generation Sequencing Platforms

Summary

Scientists successfully sequenced the complete genome of Hericium coralloides, a medicinal mushroom used in traditional Chinese medicine for treating heart disease, cancer, and stomach problems. Using advanced sequencing technology combining long-read and short-read methods, they assembled the 55 million base pair genome containing over 11,700 genes. This genetic blueprint reveals the mushroom contains genes for producing beneficial enzymes and compounds with therapeutic potential. This milestone opens the door for future research to develop new medicines based on this mushroom’s natural bioactive properties.

Background

Hericium coralloides is an edible and medicinal mushroom used in traditional Chinese medicine to treat various diseases including cardiovascular disorders, cancer, and gastric ulcers. The mushroom contains physiologically active compounds with potential therapeutic properties. However, the complete genome of H. coralloides had not been previously sequenced.

Objective

This study aimed to perform de novo sequencing and assembly of the H. coralloides genome using combined sequencing platforms. The objectives included mapping reads to the assembled genome, identifying all repeated sequences, and annotating protein-coding genes using GO, eggNOG, and KEGG databases.

Results

The assembled genome comprised 55,905,675 bp with 307 contigs. A mapping rate of 92.46% was achieved for PE400 DNA reads. The study identified 2,525 repeated sequences, 338 ncRNAs (48,895 bp), and predicted 11,736 protein-coding genes. CAZyme analysis identified 539 genes involved in carbohydrate metabolism.

Conclusion

This is the first complete genome sequencing of H. coralloides, providing a reference for studying evolutionary diversification of edible and medicinal mushrooms. The genomic data will facilitate investigation of the genetic basis for the mushroom’s bioactivity and medicinal properties, and supports further studies on its therapeutic potential.
  • Published in:International Journal of Genomics,
  • Study Type:Genomic Analysis,
  • Source: PMID: 35141329, DOI: 10.1155/2022/4017654
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