NAR Genomics and BioinformaticsBioinformaticsPeer-reviewed journal article
Mining bacterial NGS data vastly expands the complete genomes of temperate phages
Xianglilan ZhangiD, Ruohan WangiD, Xiangcheng Xie, Yunjia HuiD, Jianping WangiD, Qiang SuniD, Xikang FengiD, Wei Lin, Shanwei TongiD, Wei YaniD, Huiqi WeniD, Mengyao WangiD, Shixiang ZhaiiD, Cheng SuniD, Fangyi WangiD, Qi NiuiD, Andrew M. KropinskiiD, Yujun CuiiD, Xiaofang JiangiD, Shaoliang PengiD, Shuai Cheng LiiD, Yigang TongiD
Abstract
Temperate phages (active prophages induced from bacteria) help control pathogenicity, modulate community structure, and maintain gut homeostasis1. Complete phage genome sequences are indispensable for understanding phage biology. Traditional plaque techniques are inapplicable to temperate phages due to the lysogenicity of these phages, which curb the identification and characterization of temperate phages. Existing in silico tools for prophage prediction usually fail to detect accurate and complete temperate phage genomes2-5. In this study, by a novel computational method mining both the integrated active prophages and their spontaneously induced forms (temperate phages), we obtained 192,326 complete temperate phage genomes from bacterial next-generation sequencing (NGS) data, hence expanded the existing number of complete temperate phage genomes by more than 100-fold. The reliability of our method was validated by wet-lab experiments. The experiments demonstrated that our method can accurately determine the complete genome sequences of the temperate phages, with exact flanking sites (attP and attB sites), outperforming other state-of-the-art prophage prediction methods. Our analysis indicates that temperate phages are likely to function in the evolution of microbes by 1) cross-infecting different bacterial host species; 2) transferring antibiotic resistance and virulence genes; and 3) interacting with hosts through restriction-modification and CRISPR/anti-CRISPR systems. This work provides a comprehensive complete temperate phage genome database and relevant information, which can serve as a valuable resource for phage research.
- organism: bacteria (other)
- assay: whole-genome sequencing
- research focus: database / resource
- approach: statistical model
- Citations
- 22
- FWCI
- 1.73
- Field percentile
- top 17%
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