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MOB-suite: software tools for clustering reconstruction and typing of plasmids from draft assemblies

机译:MOB-suite:用于对草图集中的质粒进行聚类重建和分型的软件工具

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摘要

Large-scale bacterial population genetics studies are now routine due to cost-effective Illumina short-read sequencing. However, analysing plasmid content remains difficult due to incomplete assembly of plasmids. Bacterial isolates can contain any number of plasmids and assembly remains complicated due to the presence of repetitive elements. Numerous tools have been developed to analyse plasmids but the performance and functionality of the tools are variable. The MOB-suite was developed as a set of modular tools for reconstruction and typing of plasmids from draft assembly data to facilitate characterization of plasmids. Using a set of closed genomes with publicly available Illumina data, the MOB-suite identified contigs of plasmid origin with both high sensitivity and specificity (95 and 88 %, respectively). In comparison, plasmidfinder demonstrated high specificity (99 %) but limited sensitivity (50 %). Using the same dataset of 377 known plasmids, MOB-recon accurately reconstructed 207 plasmids so that they were assigned to a single grouping without other plasmid or chromosomal sequences, whereas plasmidSPAdes was only able to accurately reconstruct 102 plasmids. In general, plasmidSPAdes has a tendency to merge different plasmids together, with 208 plasmids undergoing merge events. The MOB-suite reduces the number of errors but produces more hybrid plasmids, with 84 plasmids undergoing both splits and merges. The MOB-suite also provides replicon typing similar to plasmidfinder but with the inclusion of relaxase typing and prediction of conjugation potential. The MOB-suite is written in Python 3 and is available from .
机译:由于具有成本效益的Illumina短读测序,现在进行常规的大规模细菌种群遗传学研究。然而,由于质粒的不完全组装,分析质粒含量仍然困难。细菌分离株可包含任何数量的质粒,由于存在重复元件,组装过程仍然很复杂。已经开发了许多工具来分析质粒,但是工具的性能和功能是可变的。 MOB-suite是作为一套模块化工具开发的,用于从装配数据草稿中重建和分型质粒,以促进质粒的表征。 MOB团队使用一组具有公开可用的Illumina数据的封闭基因组,以高灵敏度和特异性(分别为95%和88%)鉴定了质粒来源的重叠群。相比之下,质粒发现器显示出高特异性(99%),但灵敏度有限(50 %%)。使用377个已知质粒的相同数据集,MOB-recon准确地重建了207个质粒,因此它们被分配到一个单独的组中,而没有其他质粒或染色体序列,而质粒SPAdes仅能够准确地重建102个质粒。通常,质粒SPAdes具有将不同质粒融合在一起的趋势,其中208个质粒经历融合事件。 MOB套件减少了错误数量,但产生了更多的杂交质粒,其中84个质粒经历了分裂和合并。 MOB套件还提供类似于质粒查找器的复制子分型,但包括松弛酶分型和预测结合潜力。 MOB套件是用Python 3编写的,可从下载。

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