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Proteomic and Transcriptomic Analyses Provide New Insights into the Mechanism Underlying Lipid Deterioration in Pecan Kernels during Storage.

Xiaodong JiaMengyang XuWenyue TanZiyan WangZhongren GuoXufeng YangCheng-Hang Liu
Published in: Journal of agricultural and food chemistry (2024)
Pecan nuts are rich in lipids that tend to deteriorate during storage. Tandem mass-tag-based quantitative proteomics and transcriptomics were used to investigate the changes in the protein and gene profiles of stored pecan kernels for the first time. Our previous lipidomic data were jointly analyzed to elucidate the coordinated changes in lipid molecules and related proteins/genes. The mechanism underlying lipid deterioration in pecan kernels during storage was revealed by multiomics analyses. Lipid metabolism-related pathways were activated during pecan storage. Phospholipases, triacylglycerol lipases, lipoxygenases, and oil body-related proteins/genes were highly expressed during storage, revealing their involvement in lipid deterioration. These data provide rich information and will be valuable for future genetic or chemical research to alleviate lipid deterioration in pecans.
Keyphrases
  • fatty acid
  • genome wide
  • single cell
  • electronic health record
  • genome wide identification
  • copy number
  • healthcare
  • big data
  • gene expression
  • machine learning
  • transcription factor
  • bioinformatics analysis
  • protein protein