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ezTree: an automated pipeline for identifying phylogenetic marker genes and inferring evolutionary relationships among uncultivated prokaryotic draft genomes

机译:ezTree:用于识别系统发生标记基因并推断未培养原核生物草图基因组之间进化关系的自动化管道

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摘要

BackgroundInferring phylogenetic trees for newly recovered genomes from metagenomic samples is very useful in determining the identities of uncultivated microorganisms. Even though 16S ribosomal RNA small subunit genes have been established as “gold standard” markers for inferring phylogenetic trees, they usually cannot be assembled very well in metagenomes due to shared regions among 16S genes. Using single-copy marker genes to build genome trees has become increasingly popular for uncultivated species. Predefined marker gene sets were discovered and have been applied in various genomic studies; however these gene sets might not be adequate for novel, uncultivated, draft, or incomplete genomes. The automatic identification of marker gene sets among a set of genomes with different assembly qualities has thus become a very important task for inferring reliable phylogenetic relationships for microbial populations.
机译:背景技术从宏基因组学样本推断新近恢复的基因组的系统树对于确定未经培养的微生物的身份非常有用。尽管已将16S核糖体RNA小亚基基因确立为推断系统发育树的“金标准”标记,但由于16S基因之间存在共享区域,因此它们通常无法在元基因组中很好地组装。对于未经栽培的物种,使用单拷贝标记基因构建基因组树变得越来越普遍。预定义的标记基因集被发现并已应用于各种基因组研究中。然而,这些基因集可能不足以适应新的,未经培养的,草拟的或不完整的基因组。因此,在具有不同装配质量的一组基因组中自动识别标记基因集已成为为微生物群体推断可靠的系统发生关系的一项非常重要的任务。

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