## 3 Results
### Transcriptomic Analysis of S. Sanghuang from ET and WET  
The RNA-seq data obtained from ET and WET samples were evaluated, and the percentage of Q30 bases ranged from 94.69% to 95.66% (Table S2). The GC levels of WET and ET ranged from 52.52% to 52.63% and 52.34% to 52.56%, respectively (Table S2). During the analysis, we identified 97 differentially expressed transcripts (DETs) between the control and stimulated groups, using a filter of fold change \(\geq\) 2 and FDR \(<\) 0.01. Among these DETs, 57 were upregulated, and 40 were downregulated. To gain insight into the functions of these DETs in relevant biological processes, we performed Gene Ontology (GO) analysis. The GO analysis of DETs and their functional classification and enrichment analysis are shown in Figure 5A. A total of 112 DETs were identified in both the WET and ET groups. Among the biological processes, 40 DETs were significantly enriched in \"metabolic processes\", \"cellular processes\", \"reproductive processes\", \"signaling\", \"multi-cellular biological processes\", \"developmental processes\", \"growth\", \"stress response\", and \"subcellular localization.\" In terms of molecular function, 30 DETs were significantly enriched in \"nucleic acid binding\", \"transcription factor activity\", \"catalytic activity\", \"signal transduction\", \"structural molecules\", \"transport\", \"binding\", \"electron carriers\", \"antioxidant activity\", \"protein labeling\", \"translation regulation\", and \"nutrition.\" Additionally, around 41 DETs were significantly enriched in \"cells\", \"cell membranes\", \"macromolecular complex\", and \"organelles\" in cellular components. To analyze the differential transcript protein annotation information, DETs were annotated to the egg NOG database (Figure 5B), and 47 functional groups were categorized. The DETs were mainly enriched in \"carbohydrate transport and metabolism\" (8, 17.0%), followed by \"signal transduction mechanisms\" (3, 6.4%) and \"secondary metabolite biosynthesis, transport, and catabolism\" (3, 6.4%). A large proportion of the remaining DETs were annotated to \"replication, recombination, and repair\" (2, 4.2%), \"cytoskeleton\" (2, 4.2%), \"energy production and conversion\" (2, 4.2%), and \"inorganic ion transport and metabolism\" (2, 4.2%). Only a small fraction of DETs were annotated to \"transcription\" (1, 2.1%). The transcriptional analysis revealed that the metabolic pathway of _S. Sanghuang_ was significantly affected by the transcriptional profile of ET. Figure 5C shows that the DETs were annotated to the COG database and categorized. The largest proportion of the 26 COG categories was accounted for by \"carbohydrate transport and metabolism\" (7, 26.9%), followed by \"defense mechanisms\" (3, 11.5%) and \"secondary metabolite biosynthesis, transport, and catabolism\" (3, 11.5%). A considerable portion of the remaining genes were annotated to \"signal transduction mechanisms\" (2, 7.7%), \"intracellular transport\", \"secretion and vesicular transport\" (2, 7.7%), and \"inorganic ion transport and metabolism\" (2, 7.7%). Only a small proportion of DETs (less than 4%) were assigned to \"cell motility\" (1, 3.8%), \"post-translational modifications, protein turnover, molecular chaperones\" (1, 3.8%), \"energy production and conversion\" (1, 3.8%), and \"coenzyme transport and metabolism\" (1, 3.8%). Based on the results of annotation and enrichment analysis of differential metabolism of genes, the fungal elicitor effectively promoted the transcription of transport and metabolism of compound pathways, signal transduction pathways, defense mechanisms, and so on. They may play a significant role in terpene and sesquiterpene metabolic pathways and activation of triterpene synthesis in _S. Sanghuang_ (File S2, Table S2). Figure 5: Classification of GO, COG, and egg NOG from the DETs between ET and WET. (**A**) GO annotation and enrichment of DETs.