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Updated: May 14, 2026

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Generating Whole Bacterial Genomes from Clinical Samples using a Target Enrichment Workflow
Published on: August 15, 2025
Bacterial genomes in epidemiology--present and future.
Nicholas J Croucher1, Simon R Harris, Yonatan H Grad
1Department of Epidemiology, Center for Communicable Disease Dynamics, Harvard School of Public Health, Boston, MA, USA.
Summary
Genomic epidemiology uses bacterial sequence data to study pathogen outbreaks. Minimizing recombination
Area of Science:
- Microbiology
- Genomics
- Epidemiology
Background:
- Phylogenetic and demographic analyses of viral pathogen outbreaks are well-established using sequence data.
- Applying similar methods to bacteria is challenging due to limited high-resolution genomic data and extensive recombination.
- Advancements in genomic methods increase data but raise concerns about portability and comparability across laboratories.
Purpose of the Study:
- To discuss the requirements for effective genomic epidemiology in bacterial pathogens.
- To explore methods for minimizing the impact of recombination on phylogenetic and coalescent analyses.
- To enable the leverage of increasing bacterial genomic datasets for outbreak investigations.
Main Methods:
- Review of current genomic sequencing and data analysis techniques.
- Discussion of challenges in bacterial genomic data portability and comparability.
- Exploration of strategies to mitigate the effects of genetic recombination.
Main Results:
- Genomic epidemiology requires high-resolution data and standardized analysis.
- Recombination significantly complicates phylogenetic and coalescent analyses in bacteria.
- Methods exist to minimize recombination's distorting effects on genomic data.
Conclusions:
- Genomic epidemiology is crucial for understanding bacterial pathogen outbreaks.
- Addressing data portability and recombination is essential for accurate bacterial phylogenetics.
- Optimized genomic approaches will enhance the study of bacterial evolution and transmission.
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