Morphological description and DNA barcoding research of nine Syringa species
The study ultimately selected the barcode <i>ITS2</i> + <i>psbA-trnH</i> + <i>trnL-trnF</i>, with an identification rate of 93.6%, as the optimal barcode for identifying nine species of <i>Syringa</i> trees. This combination proved to be highly effective in discriminating <i>Syringa</i> species, highlighting the potential of DNA barcoding as a reliable tool for species identification in <i>Syringa</i>. Future research could focus on expanding the sample size and exploring additional genetic markers to further enhance the accuracy and applicability of DNA barcoding in <i>Syringa</i> species identification.
Authors
- Lianqing He (ORCID: https://orcid.org/0009-0002-9940-8040)
- Xiaoou Zhai
- Zhen Wang (ORCID: https://orcid.org/0000-0003-4134-1779)
- Wei Ma (ORCID: https://orcid.org/0009-0003-3560-2634)
- Meiqi Zhang (ORCID: https://orcid.org/0000-0002-1221-5776)
- Huiyan Cao (ORCID: https://orcid.org/0009-0000-1639-5746)
- Weichao Ren (ORCID: https://orcid.org/0000-0003-1477-0367)
- Panpan Wang
Institutions
- Heilongjiang University of Chinese Medicine (CN)
- Northeast Forestry University (CN)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2025-02-26
- DOI
- https://doi.org/10.3389/fgene.2025.1544062
- Citations
- 5
- Primary Topic
- Genetic diversity and population structure
- Type
- article
- Field-Weighted Citation Impact
- 9.09
Funders
- Heilongjiang University of Chinese Medicine