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Updated: Nov 15, 2025

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies
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Bifidobacterium Genome Assembly and Methylome Analysis Using Pacbio SMRT Sequencing.

Francesca Bottacini1, Douwe van Sinderen2

  • 1APC Microbiome Ireland, University College Cork, Cork, Ireland. f.bottacini@umail.ucc.ie.

Methods in Molecular Biology (Clifton, N.J.)
|March 2, 2021
PubMed
Summary

This study introduces a method for de novo genome assembly and methylome analysis in Bifidobacterium using Pacbio SMRT sequencing. This approach aids in predicting restriction-modification systems for genetic engineering applications.

Keywords:
Base modificationBifidobacteriaProbioticSMRT sequencing

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Area of Science:

  • Microbiology
  • Genomics
  • Bioinformatics

Background:

  • Bifidobacterium species are crucial in gut health and industrial applications.
  • Complete genome sequences and understanding of their methylomes are essential for genetic manipulation.
  • Existing methods may not provide complete genome assemblies or detailed methylome information.

Purpose of the Study:

  • To present a generic method for de novo genome assembly of Bifidobacterium.
  • To enable comprehensive methylome analysis for Bifidobacterium strains.
  • To facilitate the prediction of active restriction-modification systems.

Main Methods:

  • Utilizing Pacbio Single Molecule, Real-Time (SMRT) sequencing technology.
  • Employing the SMRT Link pipeline for genome assembly and analysis.
  • Performing de novo Pacbio or hybrid Illumina-Pacbio assembly.
  • Detecting base modifications and analyzing the methylome.

Main Results:

  • Achieved complete genome sequences for Bifidobacterium.
  • Successfully identified DNA motifs through methylome analysis.
  • Predicted active restriction-modification (RM) systems within Bifidobacterium strains.

Conclusions:

  • The presented method provides a robust approach for Bifidobacterium genome and methylome characterization.
  • Identified RM systems and their target motifs can guide the selection of appropriate genetic tools.
  • This work supports advancements in the genetic engineering of Bifidobacterium for various applications.