ArticlePeerJ2023
RNA-Seq and genetic diversity analysis of faba bean (
Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 6 citations in OpenAlex.
- Genotyping-by-sequencing -based genome-wide SNP profiling and DNA fingerprinting of Saudi Arabian faba bean germplasm.BMC plant biology · 2026Article
- Vernalization-responsive intronless genes in faba bean and the development of KASP markers.Plant cell reports · 2026Article
- RNA-Seq-based transcriptomics reveals differential gene expression between two Pisum sativum subspecies and uncovers their molecular marker profiles.BMC genomics · 2025Article
- Global Transcriptome Analysis Reveals the Molecular Mechanism Underlying Seed Physical Dormancy Formation inGenes · 2025Article
- A panomics-driven framework for the improvement of major food legume crops: advances, challenges, and future prospects.Horticulture research · 2025Article
- The Drought Tolerance Function and Tanscriptional Regulation ofPlants (Basel, Switzerland) · 2024Article
- Molecular genetic diversity and linkage disequilibrium structure of the Egyptian faba bean using Single Primer Enrichment Technology (SPET).BMC genomics · 2024Article
- Transcriptome Analysis of Stigmas ofPlants (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Faba bean ( Methods: Faba bean varieties with different phenotype were used in transcriptome analysis. The functions of the unigenes were analyzed using various database. SSR markers were developed and the polymorphic markers were selected to conduct genetic diversity analysis. Results: A total of 92.43 Gb of sequencing data was obtained in this study, and 133,487 unigene sequences with a total length of 178,152,541 bp were assembled. A total of 5,200 SSR markers were developed on the basis of RNA-Seq analysis. Then, 200 SSR markers were used to evaluate polymorphisms. In total, 103 (51.5%) SSR markers showed significant and repeatable bands between different faba bean varieties. Clustering analysis revealed that 226 faba bean materials were divided into five groups. Genetic diversity analysis revealed that the relationship between different faba beans in China was related, especially in the same region. These results provided a valuable data resource for annotating genes to different categories and developing SSR markers.
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