Microbial sequencing methods
Advancing our understanding of the microbial world through discovery-based research entails comprehensive analysis of microbial genomes, their interactions, communities, and environments in which they live.
See what is possible
Single Molecule, Real-Time (SMRT) sequencing on the PacBio systems provides a deeper understanding of microbes and microbial communities by giving scientists the ability to:
- Resolve complete microbial genomes and detail their mobile elements
- Characterize epigenetic modifications and their impact on critical bacterial traits
- Investigate viral pathogenicity, evolution, and selection
- Understand microbial communities
Solutions Guide
A new standard in pathogen genomics
Detect, track, and characterize pathogens to a new standard of completeness and precision. PacBio® solutions offer unmatched accuracy and long read lengths to support a wide range of pathogen surveillance applications.
Spotlight
Precise species profiling, more functional annotations, more high-quality MAGs
The authors concluded that [PacBio] long-read approaches provide valuable additional information including greater taxonomic resolution with long-read amplicon sequencing and improved functional profiling and bacterial genome recovery from long-read metagenomics. Explore this research further:
Gehrig, J., et al. (2022) Finding the right fit: evaluation of short-read and long-read sequencing approaches to maximize the utility of clinical microbiome data. Microbial Genomics, 8(3), 10.1099/mgen.0.000794.
Spotlight
Improved genome assembly corrects understanding of virulence
SMRT sequencing corrected errors in the Mycobacterium tuberculosis H37Rv reference genome originally produced using Sanger sequencing. The improved reference genome revealed important variant strain differences that affect virulence. Explore this research further:
Elghraoui, A., Modlin, S.J. & Valafar, F., 2017. SMRT genome assembly corrects reference errors, resolving the genetic basis of virulence in Mycobacterium tuberculosis. BMC Genomics, 18(1), p.302.
