## 3 Results
The distribution shows greater variability compared to endophytes, with several outliers, indicating higher counts. Saprobes: represented by brown, saprobes have the lowest average cold effector count of 126.67. This group shows minimal variability in the cold effector counts. Notably, the comparison between plant pathogens and saprobes shows a significant difference (\(p=0.044\)). Figure 3: Comparative analysis of secreted thermo gene counts among different fungal lifestyles. Comparative analysis of secreted thermo effector counts among different fungal lifestyles. Endophytes: represented by green, the secreted thermo effector counts for endophytes have an average value of 196.33. The box plot shows moderate variation, with values clustering around the average. Plant pathogens: represented by red, plant pathogens exhibit a higher average secreted thermo effector count of 217.17. The distribution shows greater variability compared to endophytes, with several outliers, indicating significantly higher counts. Saprobes: represented by brown, saprobes have the lowest average secreted thermo effector count of 147.00. This group shows minimal variability in the secreted thermo effector counts. The comparison between plant pathogens and saprobes shows a significant difference (\(p=0.0074\)). The average number of CAZy genes is the highest in plant pathogens (286.75), followed by endophytes (269.33) and saprobes (232.33) (Figure S12). These findings suggest that while there is some variation in the CAZy gene counts among these fungal lifestyles, these differences are not statistically significant, indicating a relatively similar distribution of CAZy genes across endophytes, plant pathogens, and saprobes. Regarding temperature adaptation, the average number of secreted thermo-adapted CAZy genes is higher in plant pathogens (41.83) compared to endophytes (40.00) and saprobes (28.67) (Figure S13). These results suggest that while there are some variations in the thermo-adapted CAZy gene counts, these differences are not statistically significant across the three fungal lifestyles analyzed. The average number of cold-adapted CAZy genes is the highest in plant pathogens (129.58), followed by endophytes (123.33) and saprobes (113.67) (Figure S14). These results suggest that the number of cold-adapted CAZy genes is relatively similar across these fungal lifestyles, with no statistically significant variation observed. Regarding biosynthetic gene clusters, endophytes were shown to produce, on average, more biosynthetic metabolites based on the cluster results than plant pathogens and saprobes (54, 53.25, and 40.33, respectively) (Figure S15). We observed also the tendency to form clusters based on the fungal lifestyle when considering the temperature adaptation of the CAZy and effector genes and the total BGCs (Figure 6). In the upper corner region of the figure, we show saprobe organisms, while endophytes are present in the lower region of the graph. The plant pathogens tend to be positioned in the central area of the graph. Figure 5: Comparative analysis of thermo effector counts among different fungal lifestyles. Differences in effector genes adapted to higher temperatures in endophytes, plant pathogens, and saprobe fungi. Endophytes: represented by green, the thermo effector counts for endophytes have an average value of 65.00. The box plot shows moderate variation, with values clustering around the average. Plant pathogens: represented by red, plant pathogens exhibit an average thermo effector count of 59.08. The distribution shows greater variability compared to endophytes, with several outliers indicating higher counts. Saprobes: represented by brown, saprobes have the lowest average thermo effector count of 44.67. This group shows minimal variability in its thermo effector counts. Notably, the comparison between endophytes and plant pathogens shows a significant difference (\(p=0.039\)).