This study aimed to elucidate the molecular mechanisms underlying phenotypic divergence between two Lentinula edodes strains, LeL and LeS, which exhibit distinct fruiting body morphologies. While phenotypic variation among mushroom strains has been widely observed, the relative contributions of transcriptional regulation and structural genomic variation to these differences remain poorly understood. Comparative transcriptome analysis identified 8541 differentially expressed genes (DEGs), revealing clear functional divergence between the two strains. Genes upregulated in LeS were predominantly enriched in ribosomal components and translation-related processes, indicating enhanced protein synthesis activity. In contrast, LeL-upregulated genes were associated with transporters, transcription factors, and diverse metabolic pathways, suggesting broader regulatory and physiological functions. Protein–protein interaction network analysis further highlighted distinct regulatory architectures, with ribosomal proteins forming highly interconnected hub gene modules in LeS, whereas LeL hub genes were functionally diverse and included multiple members of the Major Facilitator Superfamily (MFS). Ortholog analysis across 33 L. edodes strains demonstrated that most hub genes were conserved, indicating their roles as core genetic components. Despite widespread genome-wide variation, including 7931 SNPs and 1149 INDELs, sequence variation within hub genes was limited, and allele-specific expression analysis revealed no significant allelic imbalance. In contrast, presence–absence variation (PAV) analysis identified structural differences affecting MFS transporter genes, which were absent in LeS but present and upregulated in LeL. Collectively, these findings suggest that structural genomic variation, particularly involving transporter genes, may play a more prominent role than sequence-level variation in driving phenotypic divergence. This study provides new insights into the genetic basis of strain-specific traits in L. edodes and highlights the importance of integrating multi-level genomic analyses.
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Bo-Min Seo
Che-Hwon Park
Sung-Chul Lee
Journal of Fungi
Konkuk University
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Seo et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69fd7f86bfa21ec5bbf08042 — DOI: https://doi.org/10.3390/jof12050328