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Development and application of perfect SSR markers in cotton

文献类型： 外文期刊

作者： Wu Yuzhen 1 ; Huang Longyu 1 ; Zhou Dayun 1 ; Fu Xiaoqiong 1 ; Li Chao 1 ; Wei Shoujun 1 ; Peng Jun 1 ; Kuang Meng 1 ;

作者机构： 1.Zhengzhou Univ, State Key Lab Cotton Biol, Zhengzhou Res Base, Inst Cotton Res,Chinese Acad Agr Sci, Zhengzhou 455001, Peoples R China

关键词： Cotton; SSR marker; Cultivar identification; DNA fingerprint database

期刊名称：JOURNAL OF COTTON RESEARCH （ 影响因子：2.6； 五年影响因子：2.8 ）

ISSN： 2096-5044

年卷期： 2020 年 3 卷

页码：

收录情况： SCI

摘要： Background: This study aimed to develop a set of perfect simple sequence repeat (SSR) markers with a single copy in the cotton genome, to construct a DNA fingerprint database suitable for authentication of cotton cultivars. We optimized the polymerase chain reaction (PCR) system for multi-platform compatibility and improving detection efficiency. Based on the reference genome of upland cotton and 10x resequencing data of 48 basic cotton germplasm lines, single-copy polymorphic SSR sites were identified and developed as diploidization SSR markers. The SSR markers were detected by denaturing polyacrylamide gel electrophoresis (PAGE) for initial screening, then fluorescence capillary electrophoresis for secondary screening. The final perfect SSR markers were evaluated and verified using 210 lines from different sources among Chinese cotton regional trials. Results: Using bioinformatics techniques, 1 246 SSR markers were designed from 26 626 single-copy SSR loci. Adopting a stepwise (primary and secondary) screening strategy, a set of 60 perfect SSR markers was selected with high amplification efficiency and stability, easy interpretation of peak type, multiple allelic variations, high polymorphism information content (PIC) value, uniform chromosome distribution, and single-copy characteristics. A multiplex PCR system was established with ten SSR markers using capillary electrophoresis detection. Conclusions: A set of perfect SSR markers of cotton was developed and a high-throughput SSR marker detection system was established. This study lays a foundation for large-scale and standardized construction of a cotton DNA fingerprint database for authentication of cotton varieties.

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