Computational Molecular Biology 2025, Vol.15, No.1, 26-37 http://bioscipublisher.com/index.php/cmb 34 experiments that do not follow the routine, indicating that there may be regulatory mechanisms hidden behind this gene that we have not fully understood. But in any case, the ability to stabilize tuber development and yield under extreme drought conditions is already impressive enough. 6.3.2 Performance in field trials under drought conditions The drought-resistant potatoes treated with CRISPR in the field experiments were indeed quite remarkable-by modifying the trehalose enzyme gene, they immediately became "water-saving pioneers" (Yang et al., 2019). The data in Figure 2 is particularly interesting. Just as the drought began, "emergency teams" such as Aquaporin PIP and heat shock proteins were working overtime collectively within 1-2 hours, busy maintaining the water balance of cells like rescue teams. When the drought lasted for two hours, the "logistics forces" like glycine-rich proteins took over again. The most amazing thing is that the changes in gene expression are exactly in line with the actual performance: the moisture is locked in, the yield is stable, and even the growth rate does not slow down. However, if you look closely at Figure 2, you will find that the response time differences among different genes are quite interesting. Some are impatient and act as soon as the drought emerges, while others are slow and wait until the drought becomes severe before taking action. These findings not only explain the molecular tricks of drought resistance, but also reveal the potential of CRISPR technology in combating climate change-after all, precisely regulating these "drought-resistant genes" is equivalent to equipping crops with an intelligent water-saving system. Figure 2 Genes coding for osmotic adjustment proteins differentially expressed under drought stress (Adapted from Yang et al., 2019) Image caption: Figure 2 presents a heatmap showing the differential expression of genes coding for osmotic adjustment proteins at different time points under drought stress. The heatmap uses a color gradient to represent gene expression levels, with green indicating low expression, yellow indicating moderate expression, red indicating high expression, and blue indicating downregulation. The clustering on the right groups the genes based on the similarity of their expression patterns across the different time points (Adapted from Yang et al., 2019) 7 Challenges and Future Directions Potato research is currently facing a rather interesting bottleneck-although transcription factors like WRKY and ARF have been identified, how they "cooperate" with other genes remains a mystery. This is just like knowing a
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