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利用特定于密集变异块的InDel标记对大豆[(L.)Merrill]品种进行遗传鉴定的条形码系统

Barcode System for Genetic Identification of Soybean [ (L.) Merrill] Cultivars Using InDel Markers Specific to Dense Variation Blocks.

作者信息

Sohn Hwang-Bae, Kim Su-Jeong, Hwang Tae-Young, Park Hyang-Mi, Lee Yu-Young, Markkandan Kesavan, Lee Dongwoo, Lee Sunghoon, Hong Su-Young, Song Yun-Ho, Koo Bon-Cheol, Kim Yul-Ho

机构信息

Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration (RDA)Gangwon-do, South Korea.

Grassland and Forages Division, National Institute of Animal Science, Rural Development Administration (RDA)Chungcheongnam-Do, South Korea.

出版信息

Front Plant Sci. 2017 Apr 10;8:520. doi: 10.3389/fpls.2017.00520. eCollection 2017.

Abstract

For genetic identification of soybean [ (L.) Merrill] cultivars, insertions/deletions (InDel) markers have been preferred currently because they are easy to use, co-dominant and relatively abundant. Despite their biological importance, the investigation of InDels with proven quality and reproducibility has been limited. In this study, we described soybean barcode system approach based on InDel makers, each of which is specific to a dense variation block (dVB) with non-random recombination due to many variations. Firstly, 2,274 VBs were mined by analyzing whole genome data in six soybean cultivars (Backun, Sinpaldal 2, Shingi, Daepoong, Hwangkeum, and Williams 82) for transferability to dVB-specific InDel markers. Secondly, 73,327 putative InDels in the dVB regions were identified for the development of soybean barcode system. Among them, 202 dVB-specific InDels from all soybean cultivars were selected by gel electrophoresis, which were converted as 2D barcode types according to comparing amplicon polymorphisms in the five cultivars to the reference cultivar. Finally, the polymorphism of the markers were assessed in 147 soybean cultivars, and the soybean barcode system that allows a clear distinction among soybean cultivars is also detailed. In addition, the changing of the dVBs in a chromosomal level can be quickly identified due to investigation of the reshuffling pattern of the soybean cultivars with 27 maker sets. Especially, a backcross-inbred offspring, "Singang" and a recurrent parent, "Sowon" were identified by using the 27 InDel markers. These results indicate that the soybean barcode system enables not only the minimal use of molecular markers but also comparing the data from different sources due to no need of exploiting allele binning in new varieties.

摘要

对于大豆[(L.)Merrill]品种的基因鉴定,目前插入/缺失(InDel)标记备受青睐,因为它们易于使用、共显性且数量相对丰富。尽管其具有生物学重要性,但对具有可靠质量和可重复性的InDels的研究一直有限。在本研究中,我们描述了基于InDel标记的大豆条形码系统方法,每个标记都特定于一个由于许多变异而具有非随机重组的密集变异块(dVB)。首先,通过分析六个大豆品种(Backun、Sinpaldal 2、Shingi、Daepoong、Hwangkeum和Williams 82)的全基因组数据来挖掘2274个VBs,以便将其转移到dVB特异性InDel标记上。其次,在dVB区域鉴定出73327个推定的InDels,用于开发大豆条形码系统。其中,通过凝胶电泳从所有大豆品种中选择了202个dVB特异性InDels,根据将五个品种的扩增子多态性与参考品种进行比较,将其转换为二维条形码类型。最后,在147个大豆品种中评估了这些标记的多态性,并且详细介绍了能够清晰区分大豆品种的大豆条形码系统。此外,通过研究27个标记组合的大豆品种的重排模式,可以快速识别染色体水平上dVBs的变化。特别是,通过使用27个InDel标记鉴定出了一个回交自交后代“Singang”和一个轮回亲本“Sowon”。这些结果表明,大豆条形码系统不仅能够最大限度地减少分子标记的使用,而且由于无需在新品种中开发等位基因分型,还能够比较来自不同来源的数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/772d/5385371/37a205f9875d/fpls-08-00520-g0001.jpg

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