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Updated: Jun 22, 2026

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies
Published on: August 20, 2021
Increasing the coverage of a metapopulation consensus genome by iterative read mapping and assembly
Bas E Dutilh1, Martijn A Huynen, Marc Strous
1Center for Molecular and Biomolecular Informatics, Nijmegen Center for Molecular Life Sciences, Radboud University Nijmegen Medical Center, Geert Grooteplein 28, 6525 GA, Nijmegen, The Netherlands, Germany. dutilh@cmbi.ru.nl
This study presents a novel method for assembling microbial genomes from complex populations using a reference genome scaffold. The technique improves genome completeness and accuracy, even with diverse strains present.
Area of Science:
- Microbial genomics
- Bioinformatics
- Metagenomics
Background:
- Most microbial species are unculturable, limiting genomic study.
- Metagenomic sequencing offers a solution but can be confounded by strain diversity.
- Fragmented assemblies result from complex populations, even with high sequencing coverage.
Purpose of the Study:
- To develop a method for assembling a consensus genome from a multi-strain microbial population.
- To leverage a related reference genome as a scaffold for improved assembly.
- To overcome limitations of existing strict assembly programs in complex metagenomic data.
Main Methods:
- Mapping short metagenomic sequencing reads to a related reference genome.
- Iterative assembly and mapping procedures to refine the consensus genome.
- Utilizing a reference genome as a scaffold to guide the assembly process.
Main Results:
- Successfully composed a consensus genome capturing population sequences.
- Demonstrated increased coverage and decreased similarity to the reference genome through iteration.
- Showed the assembly becoming less dependent on the reference, approaching the true population consensus.
Conclusions:
- The developed method effectively assembles consensus genomes from complex microbial populations.
- Iterative mapping and assembly enhance accuracy and reduce reliance on the reference genome.
- This approach is valuable when a related reference genome is available for scaffolding.
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