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Transcriptome dissection of candidate genes associated with lentil seed quality traits.

Jingpu SongI MavraganisW ShenH YangD CramD XiangN PattersonJ Zou
Published in: Plant biology (Stuttgart, Germany) (2022)
Lentils provide a rich plant-based protein source and staple food in many parts of the world. Despite numerous nutritional benefits, lentil seeds also possess undesirable elements, such as anti-nutritional factors. Understanding the genetic networks of seed metabolism is of great importance for improving the seed nutritional profile. We applied RNA sequencing analysis to survey the transcriptome of developing lentil seeds and compared this with that of the pod shells and leaves. In total, we identified 2622 genes differentially expressed among the tissues examined. Genes preferentially expressed in seeds were enriched in the Gene Ontology (GO) terms associated with development, nitrogen and carbon (N/C) metabolism and lipid synthesis. We further categorized seed preferentially expressed genes based on their involvement in storage protein production, starch accumulation, lipid and suberin metabolism, phytate, saponin and phenylpropanoid biosynthesis. The availability of transcript profile datasets on lentil seed metabolism and a roadmap of candidate genes presented here will be of great value for breeding strategies towards further improvement of lentil seed quality traits.
Keyphrases
  • genome wide
  • dna methylation
  • rna seq
  • single cell
  • copy number
  • gene expression
  • genome wide identification
  • fatty acid
  • genome wide analysis
  • bioinformatics analysis
  • risk assessment
  • human health