Multi-layer molecular analysis reveals distinctive metabolomic and transcriptomic profiles of different sweet corn varieties.

ABSTRACT: In plants, sugar metabolism involves a complex interplay of genetic, molecular and environmental factors. To better understand the molecular mechanisms underlying these processes, we utilized a multi-layered approach that integrated transcriptomic and metabolomic datasets generated from multiple different varieties of sweet corn. Through this analysis, we found 2533 genes that were differentially expressed in the immature kernel tissues of sweet corn, including genes involved in transcriptional regulation, sugar metabolism, primary metabolism, and other processes associated with adaptability of sweet corn. We also detected 31 differential metabolites among the three types of sweet corn. Utilizing an integrated approach encompassing transcriptomics and eGWAS, we elucidated the transcription

SUBMITTER: Li K 

PROVIDER: S-EPMC11366663 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature