Multi-Omics Dataset of Heat Stress-Induced Memory in Arabidopsis.

In their natural environment, plants experience temperature fluctuations, including intensified heat waves driven by climate change, which pose significant threats to their productivity. To adapt, plants have evolved diverse mechanisms to withstand heat stress (HS), minimizing potential damage and ensuring survival. One such adaptation is acquired thermotolerance (AT), in which prior exposure to HS primes plants to withstand subsequent severe HS. AT can persist for several days and involves a recovery period during which plants establish heat stress memory (HSM), reorganize cellular processes, and strengthen stress resilience. The molecular mechanisms underlying HSM remain an active area of investigation. This dataset provides high-throughput comparative multi-omics data, including the transcriptome, metabolome, and proteome of Arabidopsis thaliana seedlings at distinct intervals during the HSM phase. As the first detailed multi-omics dataset of the HSM phase in Arabidopsis seedlings, it serves as a valuable resource for future research aimed at identifying regulators of heat stress resilience and advancing the development of heat-tolerant crops.