Literature DB >> 34586399

Long-read metagenomics of multiple displacement amplified DNA of low-biomass human gut phageomes by SACRA pre-processing chimeric reads.

Yuya Kiguchi1,2,3, Suguru Nishijima2,4,5, Naveen Kumar3, Masahira Hattori1,3, Wataru Suda3.   

Abstract

The human gut bacteriophage community (phageome) plays an important role in the host's health and disease; however, the entire structure is poorly understood, partly owing to the generation of many incomplete genomes in conventional short-read metagenomics. Here, we show long-read metagenomics of amplified DNA of low-biomass phageomes with multiple displacement amplification (MDA), involving the development of a novel bioinformatics tool, split amplified chimeric read algorithm (SACRA), that efficiently pre-processed numerous chimeric reads generated through MDA. Using five samples, SACRA markedly reduced the average chimera ratio from 72% to 1.5% in PacBio reads with an average length of 1.8 kb. De novo assembly of chimera-less PacBio long reads reconstructed contigs of ≥5 kb with an average proportion of 27%, which was 1% in contigs from MiSeq short reads, thereby dramatically improving contig length and genome completeness. Comparison of PacBio and MiSeq contigs found MiSeq contig fragmentations frequently near local repeats and hypervariable regions in the phage genomes, and those caused by multiple homologous phage genomes coexisting in the community. We also developed a reference-independent method to assess the completeness of the linear phage genomes. Overall, we established a SACRA-coupled long-read metagenomics robust to highly diverse gut phageomes, identifying high-quality circular and linear phage genomes with adequate sequence quantity.
© The Author(s) 2021. Published by Oxford University Press on behalf of Kazusa DNA Research Institute. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  bacteriophage; gut; long-read; metagenomics; phageome

Mesh:

Substances:

Year:  2021        PMID: 34586399      PMCID: PMC8513251          DOI: 10.1093/dnares/dsab019

Source DB:  PubMed          Journal:  DNA Res        ISSN: 1340-2838            Impact factor:   4.477


  57 in total

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