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首页> 外文期刊>BMC Genomics >Construction of a BAC library and mapping BAC clones to the linkage map of Barramundi, Lates calcarifer
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Construction of a BAC library and mapping BAC clones to the linkage map of Barramundi, Lates calcarifer

机译:BAC文库的构建,并将BAC克隆映射到Barcarundi的Barramundi连锁图

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Background Barramundi (Lates calcarifer) is an important farmed marine food fish species. Its first generation linkage map has been applied to map QTL for growth traits. To identify genes located in QTL responsible for specific traits, genomic large insert libraries are of crucial importance. We reported herein a bacterial artificial chromosome (BAC) library and the mapping of BAC clones to the linkage map. Results This BAC library consisted of 49,152 clones with an average insert size of 98 kb, representing 6.9-fold haploid genome coverage. Screening the library with 24 microsatellites and 15 ESTs/genes demonstrated that the library had good genome coverage. In addition, 62 novel microsatellites each isolated from 62 BAC clones were mapped onto the first generation linkage map. A total of 86 BAC clones were anchored on the linkage map with at least one BAC clone on each linkage group. Conclusion We have constructed the first BAC library for L. calcarifer and mapped 86 BAC clones to the first generation linkage map. This BAC library and the improved linkage map with 302 DNA markers not only supply an indispensable tool to the integration of physical and linkage maps, the fine mapping of QTL and map based cloning genes located in QTL of commercial importance, but also contribute to comparative genomic studies and eventually whole genome sequencing.
机译:背景澳洲肺鱼(Lates calcarifer)是重要的养殖海洋食用鱼类。它的第一代连锁图谱已应用于为生长性状绘制QTL。为了鉴定位于QTL中负责特定性状的基因,基因组大插入文库至关重要。我们在这里报道了细菌人工染色体(BAC)文库和BAC克隆到连锁图的映射。结果该BAC文库由49,152个克隆组成,平均插入片段大小为98 kb,代表6.9倍的单倍体基因组覆盖率。用24个微卫星和15个EST /基因筛选该文库表明该文库具有良好的基因组覆盖率。此外,将分别从62个BAC克隆中分离出的62个新的微卫星定位到第一代连锁图上。总共86个BAC克隆锚定在连锁图上,每个连锁组上至少有一个BAC克隆。结论我们已经构建了第一个钙生乳杆菌的BAC文库,并将86个BAC克隆映射到第一代连锁图谱。该BAC库和具有302个DNA标记的改进的连锁图谱不仅为整合物理图谱和连锁图谱,对QTL进行精细定位和位于QTL中的基于图谱的克隆基因提供了必不可少的工具,而且还有助于比较基因组学研究,最终进行全基因组测序。

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