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Updated: Sep 19, 2025

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
Published on: May 21, 2020
Full-length transcriptomes of 25 grassland plant species
Chongyi Jiang1, Zixia Huang2, Cynthia Meizoso3
1Population Ecology Group, Institute of Ecology and Evolution, Friedrich Schiller University, Jena, Germany. chongyi.jiang@uni-jena.de.
None:
Grasslands are essential, biodiverse ecosystems providing critical ecosystem services. Despite their ecological and economic value, transcriptomic resources for wild grassland species to support eco-evolutionary and functional genomic studies remain limited. Here, we present full-length transcriptomes for shoot tissue from 25 wild grassland plant species collected from a long-term biodiversity experiment (the Jena Experiment). Using PacBio Iso-Seq technology, we generated a total of 522.45 million subreads, which were assembled into unique transcripts for each species independently. This resulted in an average of 49,180 transcripts per species, of which 68.6% were successfully annotated using the Swiss-Prot database. Furthermore, 40.3% of the transcripts contained complete open reading frames (ORFs), while 31.4% had incomplete ORFs. More than 36.8% of the transcripts were identified as non-coding RNAs. On average, 5.08% of the bases across all transcriptomes were flagged as repetitive elements. This dataset offers a valuable full-length transcriptomic resource for studying gene expression, alternative splicing, and evolutionary patterns in grassland species, paving the way for future research in functional genomics and conservation.
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