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一种基于双等位基因插入缺失标记的用于玉米遗传鉴别的经济高效条形码系统。

A cost-effective barcode system for maize genetic discrimination based on bi-allelic InDel markers.

作者信息

Liang Shuaiqiang, Lin Feng, Qian Yiliang, Zhang Tifu, Wu Yibo, Qi Yaocheng, Ren Sihai, Ruan Long, Zhao Han

机构信息

Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China.

Anhui Academy of Agricultural Sciences, Hefei, China.

出版信息

Plant Methods. 2020 Jul 29;16:101. doi: 10.1186/s13007-020-00644-y. eCollection 2020.

Abstract

BACKGROUND

Maize is one of the most important cereal crop all over the world with a complex genome of about 2.3 gigabase, and exhibits tremendous phenotypic and molecular diversity among different germplasms. Along with the phenotype identification, molecular markers have been accepted extensively as an alternative tool to discriminate different genotypes.

RESULTS

By using previous re-sequencing data of 205 lines, bi-allelic insertions and deletions (InDels) all over maize genome were screened, and a barcode system was constructed consisting of 37 bi-allelic insertion-deletion markers with high polymorphism information content (PIC) values, large discriminative size among varieties. The barcode system was measured and determined, different maize hybrids and inbreds were clearly discriminated efficiently with these markers, and hybrids responding parents were accurately determined. Compared with microarray data of more than 200 maize lines, the barcode system can discriminate maize varieties with 1.57% of different loci as a threshold. The barcode system can be used in standardized easy and quick operation with very low cost and minimum equipment requirements.

CONCLUSION

A barcode system was constructed for genetic discrimination of maize lines, including 37 InDel markers with high PIC values and user-friendly. The barcode system was measured and determined for efficient identification of maize lines.

摘要

背景

玉米是世界上最重要的谷类作物之一,其基因组复杂,约为2.3千兆碱基,并且在不同种质间表现出巨大的表型和分子多样性。随着表型鉴定的发展,分子标记已被广泛接受为区分不同基因型的替代工具。

结果

利用205份材料的重测序数据,筛选了玉米全基因组中的双等位插入缺失(InDel),构建了一个由37个双等位插入缺失标记组成的条码系统,这些标记具有高多态性信息含量(PIC)值,品种间具有较大的鉴别大小。对该条码系统进行了测定,利用这些标记能够有效地区分不同的玉米杂交种和自交系,并准确确定杂交种的亲本。与200多个玉米自交系的芯片数据相比,该条码系统以1.57%的不同位点为阈值能够区分玉米品种。该条码系统操作简便、快速,成本极低,设备要求最低,可用于标准化操作。

结论

构建了一个用于玉米自交系遗传鉴别的条码系统,包括37个具有高PIC值且用户友好的InDel标记。对该条码系统进行了测定,可有效鉴定玉米自交系。

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