## 3 Results
### Transcriptomic Analysis of R. chrysanthum  
In order to further explore the response mechanism of _R. chrysanthum_ against UV-B stress at the molecular level, transcriptomic analysis was performed on two forms of _R. chrysanthums_. Analysis of the transcriptome sequencing data showed that the Q20 values of all samples involved in the experiment ranged from 97.44 to 97.75%, and the Q30 values ranged from 92.56 to 93.39% (Table 3), suggesting that the transcriptome data are plausible and suitable for downstream analysis. There was a total of 2348 differentially expressed genes (DEGs) in group A and group B, of which 1157 DEGs were revised up and 1191 DEGs were lowered. In the comparison between groups B and C, there were 1219 DEGs, of which 459 DEGs were up-regulated and 760 DEGs were down-regulated (Figure 8A).  
The GO classification of DEGs to reflect the expression of DEGs: the trend of DEGs in the two comparison groups was similar, cellular process and metabolic process accounted for a higher proportion in biological processes, cellular anatomical entity accounted for the highest proportion in the cellular component, and catalytic activity and binding accounted for the highest proportion in the molecular function category (Figure 8B,C).  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**ID** & **Pathway Name** & **Total** & **Expected** & **Hits** & \(p\) **Value** & **FDR** \\ \hline map00250 & Alanine, aspartate, and & 28 & 0.529 & 5 & 0.0001 & 0.00771 \\  & glutamate metabolism & 28 & 0.529 & 5 & 0.0001 & 0.00771 \\ \hline map00970 & Aminoacyl-tRNA biosynthesis & 48 & 0.906 & 6 & 0.0002 & 0.00771 \\ \hline map00270 & Cysteine and methionine metabolism & 33 & 0.623 & 5 & 0.0003 & 0.00771 \\ \hline map00260 & Glycine, Serine, and threonine metabolism & 33 & 0.623 & 3 & 0.0226 & 0.459 \\ \hline map00524 & Neomycin, kanamycin, & 2 & 0.0378 & 1 & 0.0374 & 0.459 \\  & and gentamicin biosynthesis & 42 & 0.793 & 3 & 0.0424 & 0.459 \\ \hline map00040 & Pentose and glucuronate interconversions & 18 & 0.34 & 2 & 0.0437 & 0.459 \\ \hline map00500 & Starch and sucrose metabolism & 18 & 0.34 & 2 & 0.0437 & 0.459 \\ \hline \hline \end{tabular}
\end{table}
Table 2: The \(p\) value of less than 0.05 is considered statistically significant for metabolic pathway enrichment.  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Sample** & **Total Raw** & **Total Clean** & **Total Clean** & **Clean Reads** & **Clean Reads** & **Clean Reads** \\  & **Reads (M)** & **Reads (M)** & **Bases (Gb)** & **Q20 (\%)** & **Q30 (\%)** & **Ratio (\%)** \\ \hline A1 & 45.44 & 42.21 & 6.33 & 97.75 & 93.39 & 92.89 \\ A2 & 45.44 & 43.29 & 6.49 & 97.58 & 92.93 & 95.27 \\ A3 & 45.44 & 43.25 & 6.49 & 97.52 & 92.75 & 95.19 \\ B1 & 45.44 & 43.07 & 6.46 &  
Transcriptomic Analysis of the Regulatory Network of Potential UV-B Stress Biomarker in R. chrysanthum  
To explore the relationship between potential UV-B stress biomarker and DEGs under UV-B stress, a comprehensive network diagram was constructed to better reflect how potential UV-B stress biomarker and DEGs interact (Figure 9). Among a series of enzymes that regulate potential UV-B stress biomarker, aldehyde dehydrogenase involves an up-regulated DEG. (DL)-glycol-3-phase and glycol-3-phase O-acyltransferase each involve a down-regulated DEG. Diacylglycerol kinase involves two up-regulated DEGs. Acylglycerol lipase involves three down-regulated DEGs. There are six types of DEGs associated with 1-acyl-sn-glycerol-3-phase acyltransferase, including three up-regulated and down-regulated DEGs (Table 4).  
Figure 8: _Cont_.