Scholarlink

<p>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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Full-length transcriptomes of 25 grassland plant species

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月2日

查看全文
  • Chongyi Jiang,
  • Zixia Huang,
  • Cynthia Meizoso,
  • Gaby Kumpfmüller,
  • Jochen B. W. Wolf,
  • Holger Schielzeth

摘要

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.