Scholarlink

Background <p>Drought is a major constraint on plant productivity, and long non-coding RNAs (lncRNAs) are increasingly recognized as key regulators of plant stress responses. Yet drought-responsive lncRNAs remain largely uncharacterized in <i>Cannabis sativa</i> L., a species of growing economic and medicinal importance.</p> Methods <p>We combined RNA-seq analysis of <i>C. sativa</i> leaves under progressive drought stress with physiological monitoring and independent qRT-PCR validation. A stringent identification pipeline integrating StringTie assembly with CPC2 and Pfam coding-potential filtering was applied, followed by differential expression analysis (DESeq2), <i>cis</i>-target prediction, functional enrichment, ceRNA network construction, and transcription-factor profiling.</p> Results <p>The pipeline yielded 2,096 high-confidence novel lncRNAs with the canonical structural signatures of plant lncRNAs — shorter length, simpler exonic architecture, and lower steady-state expression than mRNAs. Differential expression analysis identified 51 high-confidence differentially expressed lncRNAs and 575 differentially expressed mRNAs in response to drought. Functional enrichment of predicted lncRNA <i>cis</i>-targets highlighted phenylpropanoid and lignin biosynthesis, abscisic acid signaling, and vacuolar ion transport as dominant themes. Transcription-factor profiling revealed a striking over-representation of FAR1-family regulators among lncRNA targets. A DEL-anchored ceRNA sub-network further uncovered two candidate regulatory modules, both showing directionally concordant qRT-PCR expression profiles.</p> Conclusions <p>These results provide the first systematic characterisation of polyA-selected, leaf-expressed drought-responsive lncRNAs in <i>C. sativa</i>, propose a hypothesis of lncRNA-mediated light–drought crosstalk via FAR1/FHY3 regulators, requiring future functional validation, and nominate candidate regulatory nodes for future functional studies and stress-resilience breeding.</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

Long non-coding RNA landscape and ceRNA networks underlying the drought response of Cannabis sativa L.

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月30日

查看全文
  • Deniz Sarel,
  • Nilgün Yerli,
  • İlker Büyük

摘要

Background

Drought is a major constraint on plant productivity, and long non-coding RNAs (lncRNAs) are increasingly recognized as key regulators of plant stress responses. Yet drought-responsive lncRNAs remain largely uncharacterized in Cannabis sativa L., a species of growing economic and medicinal importance.

Methods

We combined RNA-seq analysis of C. sativa leaves under progressive drought stress with physiological monitoring and independent qRT-PCR validation. A stringent identification pipeline integrating StringTie assembly with CPC2 and Pfam coding-potential filtering was applied, followed by differential expression analysis (DESeq2), cis-target prediction, functional enrichment, ceRNA network construction, and transcription-factor profiling.

Results

The pipeline yielded 2,096 high-confidence novel lncRNAs with the canonical structural signatures of plant lncRNAs — shorter length, simpler exonic architecture, and lower steady-state expression than mRNAs. Differential expression analysis identified 51 high-confidence differentially expressed lncRNAs and 575 differentially expressed mRNAs in response to drought. Functional enrichment of predicted lncRNA cis-targets highlighted phenylpropanoid and lignin biosynthesis, abscisic acid signaling, and vacuolar ion transport as dominant themes. Transcription-factor profiling revealed a striking over-representation of FAR1-family regulators among lncRNA targets. A DEL-anchored ceRNA sub-network further uncovered two candidate regulatory modules, both showing directionally concordant qRT-PCR expression profiles.

Conclusions

These results provide the first systematic characterisation of polyA-selected, leaf-expressed drought-responsive lncRNAs in C. sativa, propose a hypothesis of lncRNA-mediated light–drought crosstalk via FAR1/FHY3 regulators, requiring future functional validation, and nominate candidate regulatory nodes for future functional studies and stress-resilience breeding.