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Whole-genome assembly of the coral reef Pearlscale Pygmy Angelfish (Centropyge vrolikii)

机译:珊瑚礁珠鳞P神仙鱼(Centropyge vrolikii)的全基因组组装

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摘要

The diversity of DNA sequencing methods and algorithms for genome assemblies presents scientists with a bewildering array of choices. Here, we construct and compare eight candidate assemblies combining overlapping shotgun read data, mate-pair and Chicago libraries and four different genome assemblers to produce a high-quality draft genome of the iconic coral reef Pearlscale Pygmy Angelfish, Centropyge vrolikii (family Pomacanthidae). The best candidate assembly combined all four data types and had a scaffold N50 127.5 times higher than the candidate assembly obtained from shotgun data only. Our best candidate assembly had a scaffold N50 of 8.97 Mb, contig N50 of 189,827, and 97.4% complete for BUSCO v2 (Actinopterygii set) and 95.6% complete for CEGMA matches. These contiguity and accuracy scores are higher than those of any other fish assembly released to date that did not apply linkage map information, including those based on more expensive long-read sequencing data. Our analysis of how different data types improve assembly quality will help others choose the most appropriate de novo genome sequencing strategy based on resources and target applications. Furthermore, the draft genome of the Pearlscale Pygmy angelfish will play an important role in future studies of coral reef fish evolution, diversity and conservation.
机译:用于基因组组装的DNA测序方法和算法的多样性为科学家提供了一系列令人困惑的选择。在这里,我们构建并比较了八个候选程序集,这些程序集包含重叠的shot弹枪读取数据,伴侣对和Chicago库以及四个不同的基因组组装程序,以生成标志性的珊瑚礁小规模scale小天使神仙鱼(Ventroyge vrolikii)(Pomacanthidae家族)的高质量基因组草图。最佳候选程序集结合了所有四种数据类型,其N50支架比仅从shot弹枪数据中获得的候选程序集高127.5倍。我们最好的候选组件的支架N50为8.97 Mb,重叠群N50为189,827,BUSCO v2(放线opter纲集)的完成率为97.4%,CEGMA比赛的完成率为95.6%。这些连续性和准确性得分比迄今未发布的未应用连锁图信息的任何其他鱼类组件(包括基于更昂贵的长期阅读测序数据的那些)更高。我们对不同数据类型如何提高组装质量的分析将帮助其他人根据资源和目标应用选择最合适的从头基因组测序策略。此外,Peargscale侏儒神仙鱼的基因组草案将在未来的珊瑚礁鱼的进化,多样性和保护研究中发挥重要作用。

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