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首页 > 过刊浏览>年第0卷第5期 > 优先出版
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甘薯KASP标记的开发及指纹图谱的构建
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江苏徐淮地区徐州农业科学研究所/农业农村部甘薯生物学与遗传育种重点实验室

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国家甘薯产业技术体系(CARS-10-GW01); 江苏省种业振兴“揭榜挂帅”项目(JBGS [2021] 010)。


Development of KASP Markers and Construction of Fingerprinting for Sweetpotato
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Xuzhou Institute of Agricultural Sciences in Jiangsu Xuhuai District/ Key Laboratory of Biology and Genetic Breeding of Sweetpotato,Ministry of Agriculture and Rural Affairs

Fund Project:

China Agriculture Research System (CARS-10-GW01);the “JBGS” Project of Seed Industry Revitalization in Jiangsu Province (JBGS [2021] 010).

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    摘要:

    中国是世界上最大的甘薯生产国,同时又保有丰富的甘薯种质资源,但是甘薯分子标记的开发和种质资源的身份鉴定进展缓慢。本研究基于甘薯种质资源的基因组重测序数据,从中挑选合适的SNP位点,设计并筛选得到18个KASP标记。多态性信息含量和最小等位基因频率分析显示这18个KASP标记总体多态性较好。依据这18个KASP分子标记对195份甘薯种质资源进行分型,群体结构分析可以将上述甘薯种质资源分为3个群体,其中群体G1主要包含国内种质,国外引进种质主要分布于G2和G3群体。该分群结果得到了聚类分析和主成分分析的支持。分子方差分析和遗传分化分析显示三个群体间的遗传分化水平较低,基因流分析显示三个群体间基因交流频繁。从18个KASP标记中,筛选出11个KASP即可区分195份甘薯种质资源,这11个KASP标记可以作为甘薯种质资源鉴定的核心分子标记,并据此为195份甘薯种质资源构建了指纹图谱。本研究将为甘薯种质资源的分类和鉴定提供工具和基础。

    Abstract:

    China is the world"s largest producer of sweetpotato and also possesses abundant sweetpotato germplasm resources. However, progress in development of molecular markers and the identification of germplasm resource for sweetpotato has been relatively slow. In this study, based on genome resequencing data of sweetpotato germplasm resources, we selected suitable SNP loci and developed 18 KASP markers. Analyses of polymorphism information content (PIC) and minor allele frequency (MAF) showed that these 18 KASP markers exhibited good overall polymorphism. Using these 18 KASP molecular markers, genotyping was performed on 195 sweetpotato germplasm resources. Population structure analysis revealed that these germplasm resources could be divided into three groups: group G1 consisted mainly of domestic germplasm, while introduced germplasm was mainly distributed in groups G2 and G3. This grouping pattern was supported by cluster analysis and principal component analysis. Molecular variance analysis and genetic differentiation analysis indicated a low level of genetic differentiation among the three groups, and gene flow analysis showed frequent genetic exchange between them. Among the 18 KASP markers, 11 markers were able to distinguish all 195 sweetpotato germplasm resources. These 11 KASP markers can be used as core molecular markers for sweetpotato germplasm identification. Fingerprinting was constructed for the 195 sweetpotato germplasm resources based on these 11 KASP markers. This study provides valuable tools and a foundation for the classification and identification of sweetpotato germplasm resources.

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历史
  • 收稿日期:2026-01-14
  • 最后修改日期:2026-03-02
  • 录用日期:2026-03-04
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