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利用微卫星标记同时鉴定 110 个水稻品种的亚种和地理起源。

Simultaneous determination of subspecies and geographic origins of 110 rice cultivars by microsatellite markers.

机构信息

College of Food Science and Engineering, Nanjing University of Finance and Economics/Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing 210023, China.

College of Food Science and Engineering, Nanjing University of Finance and Economics/Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing 210023, China.

出版信息

Food Chem. 2024 Jul 1;445:138657. doi: 10.1016/j.foodchem.2024.138657. Epub 2024 Feb 5.

Abstract

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.

摘要

利用微卫星标记(简单重复序列,SSR)对来自不同亚种类型(籼稻和粳稻)和不同地理起源(湖南、江苏和中国东北地区)的 110 个代表性水稻品种进行了监测。从主要作物区采集了 110 个代表性水稻品种。应用了多种方法,包括聚类分析(邻接法(NJ)、加权组平均法(UPGMA))、主成分分析(PCA)和基于模型的分组。研究表明,25 对 SSR 标记表现出广泛的多态信息含量(PIC)值范围,从 0.240 到 0.830。此外,我们的研究成功地实现了确定水稻地理起源的总体平均正确率高达 99.09%。同时,它准确地对籼稻和粳稻进行了分类。这些发现具有重要意义,因为它们提供了 110 个高质量水稻品种的 SSR 指纹图谱,为检测水稻掺假和追溯其起源提供了有价值的科学资源。

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