Insights into the evolution and mechanisms of response to heat stress by whole genome sequencing and comparative proteomics analysis of the domesticated edible mushroom Lepista sordida
- Author: mycolabadmin
- 7/7/2024
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Summary
Researchers sequenced the complete genome of Lepista sordida, a delicious edible mushroom valued for its health benefits, and studied how this mushroom responds to heat stress at the molecular level. Using advanced analysis techniques, they identified key proteins and signaling pathways that help the mushroom survive high temperatures. These findings can help farmers develop better-performing strains that are more resistant to heat, improving mushroom production.
Background
Lepista sordida is a valuable edible mushroom rich in bioactive compounds used in traditional medicine and functional foods. Heat stress significantly affects mushroom yield and quality, but the molecular mechanisms of heat stress response in L. sordida are poorly understood. A high-quality whole genome sequence of this domesticated strain has not been previously published.
Objective
To sequence a high-quality whole genome of domesticated L. sordida and perform comparative proteomics analysis to understand the evolutionary relationships and molecular mechanisms of heat stress response in this mushroom species.
Results
A 40.67 Mb genome was assembled in 13 contigs with 12,222 predicted coding sequences. Phylogenetic analysis showed L. sordida is closely related to Lyophyllum decastes and Hypsizygus marmoreus. Proteomic analysis revealed heat shock proteins, Ca2+ and MAPK signaling pathways, and ubiquitin-proteasome system components are upregulated during heat stress response.
Conclusion
The study provides fundamental insights into L. sordida genome evolution and heat stress-responsive mechanisms that may facilitate breeding of heat-tolerant strains for artificial cultivation. The identified protective proteins and signaling pathways offer targets for developing improved cultivars.
- Published in:Mycology,
- Study Type:Genomic and Proteomic Research,
- Source: PMID: 40083419, DOI: 10.1080/21501203.2024.2363620