Transcriptome enhanced rice grain metabolic model identifies histidine level as a marker for grain chalkiness.

ABSTRACT: Rising temperatures due to global warming can negatively impact rice grain quality and yield. This study investigates the effects of increased warmer night temperatures (WNT), a consequence of global warming, on the quality of rice kernel, particularly grain chalkiness. By integrating computational and experimental approaches, we used a rice grain metabolic network to discover the metabolic factors of chalkiness. For this, we reconstructed the rice grain genome-scale metabolic model (GSM), iOSA3474-G and incorporated transcriptomics data from three different times of the day (dawn, dawn 7 h, and dusk) for both control and WNT conditions with iOSA3474-G. Three distinct growth phases: anoxia, normoxia, and hyperoxia, were identified in rice kernels from the GSMs, highlighting the grain-filli

SUBMITTER: Chowdhury NB 

PROVIDER: S-EPMC12069599 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature