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A cost-effective barcode system for maize genetic discrimination based on bi-allelic InDel markers.
Plant Methods ( IF 4.7 ) Pub Date : 2020-07-29 , DOI: 10.1186/s13007-020-00644-y
Shuaiqiang Liang 1 , Feng Lin 1 , Yiliang Qian 2 , Tifu Zhang 1 , Yibo Wu 1 , Yaocheng Qi 2 , Sihai Ren 2 , Long Ruan 2 , Han Zhao 1
Affiliation  

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. 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. 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.

中文翻译:

一种基于双等位基因 InDel 标记的经济高效的玉米遗传识别条形码系统。

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 GB,不同种质之间表现出巨大的表型和分子多样性。随着表型鉴定,分子标记已被广泛接受作为区分不同基因型的替代工具。利用前期205个品系的重测序数据,筛选出整个玉米基因组的双等位基因插入和缺失(InDels),构建了由37个高多态性信息含量的双等位基因插入缺失标记组成的条形码系统(PIC) )值,品种之间的判别力大小较大。对条形码系统进行了测量和测定,利用这些标记可以清楚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响应亲本。与200多个玉米品系的微阵列数据相比,条码系统可以以1.57%的不同位点为阈值区分玉米品种。该条码系统可用于标准化、简单、快速的操作,成本非常低,设备要求最低。构建了用于玉米品系遗传判别的条形码系统,包括37个InDel标记,具有高PIC值和用户友好性。对条形码系统进行了测量和确定,以有效识别玉米品系。
更新日期:2020-07-30
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