Plastid RNA Editing in Glycyrrhiza uralensis: Landscape Characterization and Comparative Assessment of RNA-Seq Library Strategies for Detection
We establish a set of 38 high-confidence plastid RNA editing sites in <i>G. uralensis</i> and suggest potential adaptive implications of editing in <i>ndh</i>-related genes. Methodologically, total RNA-seq is recommended for identification using de novo RNA editing due to its high sensitivity and low false-positive rate; publicly available poly(A)-selected mRNA-seq datasets can be repurposed to reliably retrieve plastid RNA editing sites when stringent strand-specific filtering is applied.
Authors
- Yuangang Lu (ORCID: https://orcid.org/0000-0001-5977-0809)
- Yanghui Rao (ORCID: https://orcid.org/0000-0003-1610-9599)
- Hui Ma (ORCID: https://orcid.org/0000-0001-6473-6656)
- Yen‐Tsung Huang (ORCID: https://orcid.org/0000-0001-7657-0040)
- Na Fang (ORCID: https://orcid.org/0000-0002-9358-2366)
- Lei Gong (ORCID: https://orcid.org/0000-0001-8430-2329)
Institutions
- Longdong University (CN)
Publication Details
- Journal
- Genes
- Published
- 2025-09-26
- DOI
- https://doi.org/10.3390/genes16101142
- Primary Topic
- Pharmacological Effects of Natural Compounds
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Science and Technology Department of Gansu Province
- Longdong University