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Evaluation of ddRADseq for reduced representation metagenome sequencing.
Liu, Michael Y; Worden, Paul; Monahan, Leigh G; DeMaere, Matthew Z; Burke, Catherine M; Djordjevic, Steven P; Charles, Ian G; Darling, Aaron E.
Afiliación
  • Liu MY; The ithree institute, University of Technology Sydney, Sydney, New South Wales, Australia.
  • Worden P; The ithree institute, University of Technology Sydney, Sydney, New South Wales, Australia.
  • Monahan LG; The ithree institute, University of Technology Sydney, Sydney, New South Wales, Australia.
  • DeMaere MZ; The ithree institute, University of Technology Sydney, Sydney, New South Wales, Australia.
  • Burke CM; The ithree institute, University of Technology Sydney, Sydney, New South Wales, Australia.
  • Djordjevic SP; The ithree institute, University of Technology Sydney, Sydney, New South Wales, Australia.
  • Charles IG; The ithree institute, University of Technology Sydney, Sydney, New South Wales, Australia.
  • Darling AE; The ithree institute, University of Technology Sydney, Sydney, New South Wales, Australia.
PeerJ ; 5: e3837, 2017.
Article en En | MEDLINE | ID: mdl-28948110
ABSTRACT

BACKGROUND:

Profiling of microbial communities via metagenomic shotgun sequencing has enabled researches to gain unprecedented insight into microbial community structure and the functional roles of community members. This study describes a method and basic analysis for a metagenomic adaptation of the double digest restriction site associated DNA sequencing (ddRADseq) protocol for reduced representation metagenome profiling.

METHODS:

This technique takes advantage of the sequence specificity of restriction endonucleases to construct an Illumina-compatible sequencing library containing DNA fragments that are between a pair of restriction sites located within close proximity. This results in a reduced sequencing library with coverage breadth that can be tuned by size selection. We assessed the performance of the metagenomic ddRADseq approach by applying the full method to human stool samples and generating sequence data.

RESULTS:

The ddRADseq data yields a similar estimate of community taxonomic profile as obtained from shotgun metagenome sequencing of the same human stool samples. No obvious bias with respect to genomic G + C content and the estimated relative species abundance was detected.

DISCUSSION:

Although ddRADseq does introduce some bias in taxonomic representation, the bias is likely to be small relative to DNA extraction bias. ddRADseq appears feasible and could have value as a tool for metagenome-wide association studies.
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: PeerJ Año: 2017 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: PeerJ Año: 2017 Tipo del documento: Article País de afiliación: Australia