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基于图形管道平台的水稻全基因组插入/缺失标记的开发。

Development of genome-wide insertion/deletion markers in rice based on graphic pipeline platform.

机构信息

State Key Laboratory of Hybrid Rice, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.

Novel Bioinformatics Company, Shanghai, 200240, China.

出版信息

J Integr Plant Biol. 2015 Nov;57(11):980-91. doi: 10.1111/jipb.12354. Epub 2015 Sep 1.

DOI:10.1111/jipb.12354
PMID:25809845
Abstract

DNA markers play important roles in plant breeding and genetics. The Insertion/Deletion (InDel) marker is one kind of co-dominant DNA markers widely used due to its low cost and high precision. However, the canonical way of searching for InDel markers is time-consuming and labor-intensive. We developed an end-to-end computational solution (InDel Markers Development Platform, IMDP) to identify genome-wide InDel markers under a graphic pipeline environment. IMDP constitutes assembled genome sequences alignment pipeline (AGA-pipe) and next-generation re-sequencing data mapping pipeline (NGS-pipe). With AGA-pipe we are able to identify 12,944 markers between the genome of rice cultivars Nipponbare and 93-11. Using NGS-pipe, we reported 34,794 InDels from re-sequencing data of rice cultivars Wu-Yun-Geng7 and Guang-Lu-Ai4. Combining AGA-pipe and NGS-pipe, we developed 205,659 InDels in eight japonica and nine indica cultivars and 2,681 InDels showed a subgroup-specific pattern. Polymerase chain reaction (PCR) analysis of subgroup-specific markers indicated that the precision reached 90% (86 of 95). Finally, to make them available to the public, we have integrated the InDels/markers information into a website (Rice InDel Marker Database, RIMD, http://202.120.45.71/). The application of IMDP in rice will facilitate efficiency for development of genome-wide InDel markers, in addition it can be used in other species with reference genome sequences and NGS data.

摘要

DNA 标记在植物育种和遗传学中起着重要作用。插入/缺失 (InDel) 标记是一种共显性 DNA 标记,由于其成本低、精度高而被广泛应用。然而,寻找 InDel 标记的传统方法既耗时又费力。我们开发了一种端到端的计算解决方案 (InDel Markers Development Platform,IMDP),以便在图形管道环境下识别全基因组范围内的 InDel 标记。IMDP 由组装基因组序列比对管道 (AGA-pipe) 和下一代重测序数据映射管道 (NGS-pipe) 组成。通过 AGA-pipe,我们能够在水稻品种 Nipponbare 和 93-11 的基因组之间识别出 12944 个标记。使用 NGS-pipe,我们报告了水稻品种 Wu-Yun-Geng7 和 Guang-Lu-Ai4 的重测序数据中的 34794 个 InDels。通过 AGA-pipe 和 NGS-pipe 的组合,我们在 8 个粳稻和 9 个籼稻品种中开发了 205659 个 InDels,其中 2681 个 InDels 显示出亚组特异性模式。亚组特异性标记的聚合酶链反应 (PCR) 分析表明,精度达到 90%(86 个中的 95 个)。最后,为了使它们可供公众使用,我们将 InDels/标记信息集成到一个网站中(水稻 InDel 标记数据库,RIMD,http://202.120.45.71/)。IMDP 在水稻中的应用将提高全基因组 InDel 标记开发的效率,此外,它还可以在具有参考基因组序列和 NGS 数据的其他物种中使用。

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