首页> 美国卫生研究院文献>NAR Genomics and Bioinformatics >MinYS: mine your symbiont by targeted genome assembly in symbiotic communities
【2h】

MinYS: mine your symbiont by targeted genome assembly in symbiotic communities

机译:Minys:在共生社区的有针对性的基因组集会中挖掘你的Symbiont

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Most metazoans are associated with symbionts. Characterizing the effect of a particular symbiont often requires getting access to its genome, which is usually done by sequencing the whole community. We present MinYS, a targeted assembly approach to assemble a particular genome of interest from such metagenomic data. First, taking advantage of a reference genome, a subset of the reads is assembled into a set of backbone contigs. Then, this draft assembly is completed using the whole metagenomic readset in a de novo manner. The resulting assembly is output as a genome graph, enabling different strains with potential structural variants coexisting in the sample to be distinguished. MinYS was applied to 50 pea aphid resequencing samples, with variable diversity in symbiont communities, in order to recover the genome sequence of its obligatory bacterial symbiont, Buchnera aphidicola. It was able to return high-quality assemblies (one contig assembly in 90% of the samples), even when using increasingly distant reference genomes, and to retrieve large structural variations in the samples. Because of its targeted essence, it outperformed standard metagenomic assemblers in terms of both time and assembly quality.
机译:大多数美容院与Symbion有关。表征特定Symbiont的效果通常需要获得其基因组的访问,这通常通过排序整个社区来完成。我们呈现Minys,一个有针对性的装配方法来组装来自这种偏见数据的特定的感兴趣基因组。首先,利用参考基因​​组,将读取的子集组装成一组骨干凸角。然后,使用整个Metagenomic Readset以De Novo的方式完成该组件。所得组件作为基因组图输出,使得具有不同的菌株,其具有在样品中共存的潜在结构变体。 Minys被应用于50豌豆蚜虫重组样本,在Symbiont社区中具有可变多样性,以便回收其强制性细菌Symbiont的基因组序列,Buchnera蚜虫。即使在使用越来越远的参考基因组,也能够返回高质量的组件(以90%的样本中的90%的样本中的组装),并在样品中检索大结构变化。由于其有针对性的本质,它在时间和装配质量方面表现出标准的偏见组件。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号