Differences in morphological characteristics, photosynthetic capacity and Chloroplast genomes reveal molecular markers to distinguish Angelica sinensis, A. acutiloba and A. gigas

The distinct phenotypes of leaf shape and stem color can be used for species delimitation of the three species. The 3 genes (i.e., psbA, ndhB, and ycf15) can be used to distinguish A. sinensis from A. acutiloba and A. gigas using the agarose gel electrophoresis and the base sequence. The 7 genes (i.e., matK, psbN, ccsA, rps8, ndhF, ycf1, and ycf2) can accurately distinguish the three species using the base sequence. We establish a rapid and reliable multi-level identification system for the three Angelica species. This approach addresses critical challenges in medicinal plant taxonomy and supports quality control in herbal product industries.

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Publication Details

Journal
BMC Plant Biology
Published
2025-07-26
DOI
https://doi.org/10.1186/s12870-025-06987-9
Citations
1
Primary Topic
Traditional Chinese Medicine Analysis
Type
article
Field-Weighted Citation Impact
2.38

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article

Differences in morphological characteristics, photosynthetic capacity and Chloroplast genomes reveal molecular markers to distinguish Angelica sinensis, A. acutiloba and A. gigas

Xia Li, Weihua Zhao, Mengfei Li, Yan Zhao
1 citations
BMC Plant Biology
Traditional Chinese Medicine Analysis
2.38
article

Differences in morphological characteristics, photosynthetic capacity and Chloroplast genomes reveal molecular markers to distinguish Angelica sinensis, A. acutiloba and A. gigas

Xia Li, Weihua Zhao, Mengfei Li, Yan Zhao
article en
1 citations

Abstract

The distinct phenotypes of leaf shape and stem color can be used for species delimitation of the three species. The 3 genes (i.e., psbA, ndhB, and ycf15) can be used to distinguish A. sinensis from A. acutiloba and A. gigas using the agarose gel electrophoresis and the base sequence. The 7 genes (i.e., matK, psbN, ccsA, rps8, ndhF, ycf1, and ycf2) can accurately distinguish the three species using the base sequence. We establish a rapid and reliable multi-level identification system for the three Angelica species. This approach addresses critical challenges in medicinal plant taxonomy and supports quality control in herbal product industries.

BMC Plant BiologyVol. 25(1)
Gansu Agricultural University (CN), Yunnan Agricultural University (CN)
Science and Technology Department of Gansu Province
Zero hunger
Openalex Percentile: Top 11%
Traditional Chinese Medicine Analysis
2.38
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Differences in morphological characteristics, photosynthetic capacity and Chloroplast genomes reveal molecular markers to distinguish Angelica sinensis, A. acutiloba and A. gigas — Xia Li, Weihua Zhao, et al. · BMC Plant Biology (2025) | TGRS Research Map | TGRS