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Updated: May 15, 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
Optimizing hybrid assembly of next-generation sequence data from Enterococcus faecium: a microbe with highly
1Shanghai Center for Systems Biomedicine, Shanghai Jiaotong University, Shanghai 200240, China.
Optimizing hybrid assemblies of bacterial genomes, like Enterococcus faecium, requires careful selection of next-generation sequencing (NGS) data. Combining different NGS technologies, especially SOLiD, improves genome assembly continuity and cost-efficiency.
Area of Science:
- Genomics
- Bioinformatics
- Microbial Pathogenesis
Background:
- Bacterial genome sequencing is crucial for understanding pathogen virulence and strain relationships.
- Enterococcus faecium is a significant nosocomial pathogen often exhibiting antibiotic resistance.
- High genetic diversity in E. faecium poses challenges for next-generation sequencing (NGS) technologies.
Purpose of the Study:
- To investigate the properties and biases of different NGS technologies.
- To evaluate parameters influencing hybrid assembly outcomes using combined NGS data.
- To optimize hybrid assembly strategies for challenging bacterial genomes like E. faecium.
Main Methods:
- Sequencing of an E. faecium hospital strain using 454 GS-FLX, Illumina GAIIx, and ABI SOLiD4.0 platforms.
- Development of a pipeline to merge contigs from various NGS data for hybrid assemblies.
- Testing combinations and varying amounts of NGS data to optimize assembly continuity.
Main Results:
- Individual NGS assemblies reached a continuity ceiling, not improved by increased coverage alone.
- Each NGS technology exhibited intrinsic properties like base-calling errors and systematic biases.
- SOLiD data, when combined with other NGS data in a hybrid approach, significantly improved E. faecium genome assembly.
Conclusions:
- Characterized sequence data and assembly from individual NGS technologies.
- Identified optimized parameters for cost-efficient and continuous hybrid genome assembly.
- Provided guidelines for genomic studies of microorganisms using state-of-the-art sequencing.
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