School of Pharmacy and Biomolecular Sciences, University of Brighton, Brighton, UK.
Mikrobiologische & Biotechnologische Risiken Bundesamt für Gesundheit BAG, 3003, Bern, Switzerland.
ISME J. 2018 Apr;12(4):942-958. doi: 10.1038/s41396-017-0015-7. Epub 2017 Dec 19.
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.
正如基因组测序的扩展揭示并允许利用细菌基因组中嵌入的系统发育信号一样,宏基因组学的应用也开始为微生物群落的生态系统水平提供类似的见解。然而,对于与微生物生态系统相关的噬菌体的这一方面,我们知之甚少,如果噬菌体编码可识别的与栖息地相关的信号,以诊断潜在的微生物组。在这里,我们证明,基于噬菌体编码的基因同源物在宏基因组数据集的相对表达,可以确定单个噬菌体是否编码清晰的与栖息地相关的“生态基因组特征”。此外,我们还表明,肠道相关噬菌体ɸB124-14 编码的生态基因组特征可用于根据环境来源对宏基因组进行分类,并区分“受污染”的环境宏基因组(受到模拟的人粪便污染)和未受污染的数据集。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追踪工具。