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Resolution of habitat-associated ecogenomic signatures in bacteriophage genomes and application to microbial source tracking

机译:噬菌体基因组中与栖息地相关的生态基因特征的解析及其在微生物来源追踪中的应用

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摘要

Just as the expansion in genome sequencing has revealed and permitted the exploitation of phylogenetic signals embedded in bacterial genomes, the application of metagenomics has begun to provide similar insights at the ecosystem level for microbial communities. However, little is known regarding this aspect of bacteriophage associated with microbial ecosystems, and if phage encode discernible habitat-associated signals diagnostic of underlying microbiomes. Here we demonstrate that individual phage can encode clear habitat-related 'ecogenomic signatures', based on relative representation of phage-encoded gene homologues in metagenomic data sets. Furthermore, we show the ecogenomic signature encoded by the gut-associated ɸB124-14 can be used to segregate metagenomes according to environmental origin, and distinguish 'contaminated' environmental metagenomes (subject to simulated in silico human faecal pollution) from uncontaminated data sets. This indicates phage-encoded ecological signals likely possess sufficient discriminatory power for use in biotechnological applications, such as development of microbial source tracking tools for monitoring water quality.
机译:正如基因组测序的扩展揭示并允许利用嵌入细菌基因组中的系统发生信号一样,宏基因组学的应用已开始在微生物群落的生态系统水平上提供类似的见解。但是,关于与微生物生态系统相关的噬菌体这一方面知之甚少,并且噬菌体是否编码可识别的与生境相关的信号,从而诊断潜在的微生物群落。在这里,我们证明了单个噬菌体可以根据宏基因组数据集中噬菌体编码基因同源物的相对表示,来编码清晰的与栖息地相关的“经济基因特征”。此外,我们显示了由肠道相关的ɸB124-14编码的生态基因组特征可用于根据环境起源分离元基因组,并从未污染的数据集中区分“受污染的”环境基因组(受模拟的人类粪便污染模拟)。这表明噬菌体编码的生态信号可能具有足够的区分能力,可用于生物技术应用,例如开发用于监测水质的微生物源跟踪工具。

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