Morphological description and DNA barcoding research of nine Syringa species

作者：Meiqi Zhang, Xiaoou Zhai, Lianqing He, Zhen Wang, Huiyan Cao, Panpan Wang, Weichao Ren, Wei Ma · 发表于：Frontiers in Genetics · 年份：2025 · DOI：10.3389/fgene.2025.1544062 · 被引用次数：6 · 研究领域：Genetic diversity and population structure、Plant Pathogens and Resistance、Plant Pathogens and Fungal Diseases

Introduction Syringa plants are highly valued for their ornamental qualities. However, traditional morphological identification methods are inefficient for discriminating Syringa species. DNA barcoding has emerged as a powerful alternative for species identification, but research on Syringa DNA barcodes is still limited. Methods This study employed a multi-locus strategy, combining the nuclear ITS2 region with chloroplast genome regions psbA-trnH , trnL-trnF , and trnL to evaluate the effectiveness of Syringa DNA barcodes. The assessment involved genetic distance analysis, BLAST searches in NCBI, sequence character analysis, and phylogenetic tree construction, examining both individual and combined sequences. Results The genetic distance analysis showed that the sequence combination of ITS2 + psbA-trnH + trnL-trnF exhibited a variation pattern where most interspecific genetic distances were greater than intraspecific genetic distances. The Wilcoxon signed-rank test results indicated that, except for psbA-trnH , the interspecific differences of the ITS2 + psbA-trnH + trnL-trnF sequence were greater than those of all single and combined sequences. BLAST analysis revealed that the identification rate for nine Syringa species using ITS2 + psbA-trnH + trnL-trnF could reach 98.97%. The trait-based method also demonstrated that ITS2 + psbA-trnH + trnL-trnF could effectively identify the nine Syringa species. Furthermore, the neighbor-joining (NJ) tree based on ITS2 + psbA-trnH + trn...