期刊
FRONTIERS IN PLANT SCIENCE
卷 13, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fpls.2022.998863
关键词
DNA barcoding; haplotype; rbcL; matK; trnL-F; ITS
资金
- Foundation Project of Shandong Natural Science Foundation
- Fundamental Research Funds for the Universities [ZR2020MC172]
- First Class Grassland Science Discipline programme of Shandong Province [6631119040]
This study evaluated the utility of four candidate DNA barcoding regions in seven genera of Gramineae. It found that matK and ITS showed the highest discriminatory power, while rbcL and trnL-F were less effective. The study also demonstrated the feasibility of establishing a technical system for rapid and reliable identification of these seven genera, and provided crucial reference for analyzing the genetic diversity of grass germplasm resources.
There is currently international interest in applying DNA barcoding as a tool for plant species discrimination and identification. In this study, we evaluated the utility of four candidate plant DNA barcoding regions [rbcL, matK, trnL-F, and internal transcribed spacer (ITS)] in seven genera of Gramineae including Agropyron, Bromus, Elymus, Elytrigia, Festuca, Leymus, and Lolium. Fourteen accessions were analyzed, and matK and ITS showed the highest species, subspecies, and variety discriminatory power, each resolving 11 accessions. Species discrimination using rbcL and trnL-F was lower, resolving 7 and 8 accessions, respectively. Subspecies and variety discrimination using rbcL and trnL-F could not identify 4 accessions of Agropyron. A technical system can be established using the proposed DNA barcode to rapidly and reliably identify the seven genera of Gramineae. This study serves as a useful reference for identifying the genetic diversity of grass germplasm resources. DNA barcoding can be utilized to uncover the relatives of different species within the same family or between different families. It can also be used to determine the related groups of important herbage, turfgrass, and crops and provide crucial background information for discovering excellent genes and improving existing crop varieties.
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