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Swine Genome Sequencing Consortium (SGSC): A Strategic Roadmap for Sequencing The Pig Genome

机译:猪基因组测序联盟(SGSC):猪基因组测序的战略路线图

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The Swine Genome Sequencing Consortium (SGSC) was formed in September2003 by academic, government and industry representatives to provide internationalcoordination for sequencing the pig genome. The SGSC’s mission is to advancebiomedical research for animal production and health by the development of DNAbasedtools and products resulting from the sequencing of the swine genome. Duringthe past 2 years, the SGSC has met bi-annually to develop a strategic roadmap forcreating the required scientific resources, to integrate existing physical maps, and tocreate a sequencing strategy that captured international participation and a broadfunding base. During the past year, SGSC members have integrated their respectivephysical mapping data with the goal of creating a minimal tiling path (MTP)that will be used as the sequencing template. During the recent Plant and AnimalGenome meeting (January 16, 2005 San Diego, CA), presentations demonstrated thata human–pig comparative map has been completed, BAC fingerprint contigs (FPC)for each of the autosomes and X chromosome have been constructed and that BACend-sequencing has permitted, through BLAST analysis and RH-mapping, anchoringof the contigs. Thus, significant progress has been made towards the creation of aMTP. In addition, whole-genome (WG) shotgun libraries have been constructed andare currently being sequenced in various laboratories around the globe. Thus, ahybrid sequencing approach in which 3x coverage of BACs comprising the MTPand 3x of the WG-shotgun libraries will be used to develop a draft 6x coverage ofthe pig genome.
机译:猪基因组测序联盟(SGSC)由学术,政府和行业代表于2003年9月成立,旨在为猪基因组测序提供国际协调。 SGSC的任务是通过开发基于猪基因组测序的基于DNA的工具和产品,推进动物生产和健康的生物医学研究。在过去的两年中,SGSC每两年召开一次会议,以制定战略路线图,以创建所需的科学资源,整合现有的物理图谱,并制定能够吸引国际参与和广泛资金基础的排序策略。在过去的一年中,SGSC成员已经整合了各自的物理映射数据,其目标是创建将用作测序模板的最小平铺路径(MTP)。在最近的动植物基因组会议(2005年1月16日,加利福尼亚州圣地亚哥)上,演讲表明,已经完成了人猪比较图,已经构建了每个常染色体和X染色体的BAC指纹重叠群(FPC),并且BACend -测序通过BLAST分析和RH-映射允许对重叠群进行锚定。因此,在创建aMTP方面已经取得了重大进展。此外,已经构建了全基因组(WG)shot弹枪库,目前在全球各个实验室中对其进行测序。因此,将使用混合测序方法(其中包括MTP的BAC的3x覆盖率和WG-shotgun库的3x)来开发猪基因组的6x覆盖率草案。

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