Large-scale Sequencing and Assembly of Cereal Genomes Using Blacklight

Philip D. Blood, Shoshana Marcus, M. Schatz
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引用次数: 1

Abstract

Wheat, corn, and rice provide 60 percent of the world's food intake every day, and just 15 plant species make up 90 percent of the world's food intake. As such there is tremendous agricultural and scientific interest to sequence and study plant genomes, especially to develop a reference sequence to direct plant breeding or to identify functional elements. DNA sequencing technologies can now generate sequence data for large genomes at low cost, however, it remains a substantial computational challenge to assemble the short sequencing reads into their complete genome sequences. Even one of the simpler ancestral species of wheat, Aegilops tauschii, has a genome size of 4.36 gigabasepairs (Gbp), nearly fifty percent larger than the human genome. Assembling a genome this size requires computational resources, especially RAM to store the large assembly graph, out of reach for most institutions. In this paper, we describe a collaborative effort between Cold Spring Harbor Laboratory and the Pittsburgh Supercomputing Center to assemble large, complex cereal genomes starting with Ae. tauschii, using the XSEDE shared memory supercomputer Blacklight. We expect these experiences using Blacklight to provide a case study and computational protocol for other genomics communities to leverage this or similar resources for assembly of other significant genomes of interest.
利用黑光技术对谷物基因组进行大规模测序和组装
小麦、玉米和大米每天提供了世界食物摄入量的60%,仅15种植物就占了世界食物摄入量的90%。因此,对植物基因组进行测序和研究具有巨大的农业和科学兴趣,特别是开发指导植物育种或识别功能元件的参考序列。DNA测序技术现在可以低成本地生成大基因组的序列数据,然而,将短测序读段组装成完整的基因组序列仍然是一个巨大的计算挑战。即使是一种较简单的小麦祖先品种,小麦的基因组大小为4.36千兆对(Gbp),比人类基因组大近50%。组装如此大小的基因组需要计算资源,尤其是存储大型组装图的RAM,这是大多数机构无法企及的。在本文中,我们描述了冷泉港实验室和匹兹堡超级计算中心之间的合作努力,以组装从Ae开始的大型复杂谷物基因组。tauschii,使用XSEDE共享内存超级计算机Blacklight。我们希望这些使用Blacklight的经验能为其他基因组学社区提供一个案例研究和计算协议,以利用这个或类似的资源来组装其他感兴趣的重要基因组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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