Objectives <p>Peas&#xa0;(<i>Pisum sativum</i>) are vital for human nutrition and have significantly contributed to the understanding of Mendelian inheritance laws. In this study, we performed transcriptome sequencing on 11 distinct pea tissues, offering an extensive gene expression dataset. This study not only provides valuable insights into the gene expression patterns across various pea tissues but also lays the foundation for future research aimed at understanding the molecular mechanisms underlying pea growth, development, and response to environmental stimuli.</p> Data description <p>In this study, we conducted transcriptome sequencing on tissue samples from 11 distinct pea plants, each with three biological replicates. This approach yielded a comprehensive RNA-seq dataset, abundant in transcriptomic information. Through principal component analysis (PCA) and gene ontology (GO) enrichment analysis, we identified significant variations in gene expression across different samples. This valuable transcriptomic resource enhances our understanding of gene expression in diverse pea tissues and provides new strategies, along with potential candidate genes, for the genetic improvement of peas.</p>

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Transcriptome profiling across 11 different tissues in Pisum sativum

  • Ru-Zhi Li,
  • Guan Li,
  • Xiao-Yan Zhang,
  • Lei-Lei Li,
  • Zhi-Wei Wang,
  • Feng-Jing Song,
  • Kai-Hua Jia,
  • Na-Na Li,
  • Peng-Fei Chu

摘要

Objectives

Peas (Pisum sativum) are vital for human nutrition and have significantly contributed to the understanding of Mendelian inheritance laws. In this study, we performed transcriptome sequencing on 11 distinct pea tissues, offering an extensive gene expression dataset. This study not only provides valuable insights into the gene expression patterns across various pea tissues but also lays the foundation for future research aimed at understanding the molecular mechanisms underlying pea growth, development, and response to environmental stimuli.

Data description

In this study, we conducted transcriptome sequencing on tissue samples from 11 distinct pea plants, each with three biological replicates. This approach yielded a comprehensive RNA-seq dataset, abundant in transcriptomic information. Through principal component analysis (PCA) and gene ontology (GO) enrichment analysis, we identified significant variations in gene expression across different samples. This valuable transcriptomic resource enhances our understanding of gene expression in diverse pea tissues and provides new strategies, along with potential candidate genes, for the genetic improvement of peas.