Autor: |
Fengjiao Shen, Xiaoxia Bai, Lin Li, Xiaoxuan Fan, Yifan Song, Miao Yu, Mengwei Cui, Shulei Jiang, Zhibin Li, Jiancheng Zhao, Shuo Shi |
Jazyk: |
angličtina |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
Ecology and Evolution, Vol 13, Iss 7, Pp n/a-n/a (2023) |
Druh dokumentu: |
article |
ISSN: |
2045-7758 |
DOI: |
10.1002/ece3.10250 |
Popis: |
Abstract Whereas the presence of flowers on ornamental flowering plants is essential for their identification via traditional methods, ornamental flowering plants cannot be reliably identified in non‐flowering stages likewise. Here, DBALM (DNA Barcodes–Leaf Morphology), a new approach that combines DNA barcoding data with micromorphological features of the leaf epidermis and that is not limited by the flowering stage, was used to identify 16 evergreen rhododendron cultivars. First, the sequences of DNA barcodes, ITS, matK, psbA‐trnH, and rbcL, were obtained from the DNA of leaves. Phylogenetic analysis was conducted to clarify the groupings among all the samples based on the four markers. Then, microscopic features of the leaf epidermis were used to further distinguish individuals from the same clade. DNA barcoding permitted the 16 cultivars to be divided into eight groups. The microscopic features of the leaf epidermis permitted cultivars within the same clade to be distinguished. The matK + psbA‐trnH combination was the most effective barcode combination in this study. In addition, the new primer matK‐Rh_R was designed, and it increased the amplification rate of evergreen rhododendron cultivars to 100%. In sum, DBALM was capable of accurately identifying the 16 evergreen rhododendron cultivars using data collected from a single leaf in the vegetative growth stage. This method can greatly facilitate the identification and breeding of ornamental flowering plants. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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