Transcriptome profiling across 11 different tissues in Pisum sativum
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.
Authors
- Guangyong Li (ORCID: https://orcid.org/0000-0002-4999-5710)
- Kai‐Hua Jia (ORCID: https://orcid.org/0000-0002-8134-5830)
- Pengfei Chu (ORCID: https://orcid.org/0000-0002-3442-4376)
- Xiaoyan Zhang (ORCID: https://orcid.org/0009-0002-8339-2136)
- Zhiwei Wang (ORCID: https://orcid.org/0000-0003-4895-050X)
- Nana Li (ORCID: https://orcid.org/0009-0005-4994-5456)
- Ru-Zhi Li
- Lei-Lei Li
- Fengjing Song
Institutions
- Liaocheng University (CN)
- Shandong Academy of Agricultural Sciences (CN)
- Qingdao Academy of Agricultural Sciences (CN)
Publication Details
- Journal
- BMC Genomic Data
- Published
- 2025-02-20
- DOI
- https://doi.org/10.1186/s12863-024-01287-x
- Citations
- 2
- Primary Topic
- Genetic and Environmental Crop Studies
- Type
- article
- Field-Weighted Citation Impact
- 3.50