Stress memory of physiological, biochemical and metabolomic responses in two different rice genotypes under drought stress: The scale matters

Drought is a pivotal cause for crop yield reductions. When subjected to recurrent external stimuli, plants can develop memory of stress responses that, eventually, enables improved plant tolerance to environmental changes. In addition, despite causal relationships, these responses may vary according to hierarchical levels of observation. Thus, this study aims to check the responses of recurrent and non-recurrent stresses in two rice genotypes observing their drought memory responses at different levels of organization, that is, on a physiological, biochemical and metabolomic scale and for end in global PCA. For this, seventy variables were measured on the scales described in order to obtain a large number of observations. The memory responses were evident in almost all scales observed. The lowland genotype, especially plants not subjected to recurrent water shortage, showed higher damage to the photosynthetic apparatus under drought conditions, although it has exhibited more evident memory response effect after rehydration. On the other hand, the upland genotype appears to be more tolerant to drought insofar lower biochemical damage was observed. Specific behaviors of each genotype at biochemical and metabolomics levels and similar behavior at physiological level were observed. This study demonstrates the importance of observation at different hierarchical levels.

Automated summary

Drought is a key factor in crop yield reductions, and plants can develop memory of stress responses, leading to improved tolerance. This study observed responses to recurrent and non-recurrent stresses in rice genotypes, finding that lowland genotypes suffered more damage to the photosynthetic apparatus under drought conditions but showed a more prominent memory response effect after rehydration, while upland genotypes exhibited lower biochemical damage and specific behaviors at biochemical and metabolomics levels.