亚种
微卫星
UPGMA公司
栽培
主成分分析
粳稻
粳稻
生物
穗
种质资源
地理
植物
数学
遗传学
统计
遗传变异
等位基因
生态学
基因
作者
Xinyue Li,Peng Li,Wen Tang,Jingwen Zheng,Fengjiao Fan,Xiaoyi Jiang,Ziqian Li,Yong Fang
标识
DOI:10.1016/j.foodchem.2024.138657
摘要
Rice varieties of different subspecies types (indica rice and japonica rice) across various geographical origins (Hunan, Jiangsu, and Northeast China) were monitored using microsatellite markers (simple sequence repeats, SSR). 110 representative rice cultivars were collected from the main crop areas. Multiple methods including clustering analysis (neighbor-joining (NJ) method, unweighted pair-group method with arithmetic mean (UPGMA) method), principal component analysis (PCA) and model-based grouping were applied. The study revealed that 25 pairs of SSR markers exhibited a broad range of polymorphism information content (PIC) values, ranging from 0.240 to 0.830. Furthermore, our study successfully achieved a higher overall mean correct rate of 99.09% in determining the geographical origin of rice. Simultaneously, it accurately classified indica rice and japonica rice. These findings are significant as they provide an SSR fingerprint of 110 high-quality rice cultivars, serving as a valuable scientific resource for the detection of rice adulteration and traceability of its origin.
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