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Advance microbiology with complete microbial characterization

Advancing our understanding of the microbial world and its interactions is only possible though comprehensive characterization of microbial genomes, communities, and their interactions with hosts and environments.

With continuous long reads and single-molecule resolution, Single Molecule, Real-Time (SMRT) Sequencing describes the microbial communities in and around us in unprecedented detail. This in-depth view allows scientists to generate complete microbial genomes and methylomes and resolve complex communities for the investigation of microbial ecology and evolution.

 

Featured research: a biphasic epigenetic switch regulates immune evasion in Haemophilus influenzae

Advancing_Microbiology.Biphasic_eipgenetic_switch
Non-typeable Haemophilus influenzae infection is significantly associated with middle ear infections in children, community-acquired pneumonia, and chronic obstructive pulmonary disease. Here, scientists have used SMRT genome and methylome analysis of H. influenzae to discover an epigenetically modulated “ON/OFF” switch that regulates the expression of multiple genes important in immune evasion, antibiotic resistance, and biofilm formation1.

Explore this research further.

Complex linkage and reassortment patterns in Influenza A

Advancing_Microbiology.Complex_linkage_and_reassortment_patternsUsing single-molecule sequencing, the mutational spectrum of an H3N2 influenza A virus population documented the complex dynamics underlying the evolution of antiviral resistance. The figure shows a schematic representation of lineage dynamics for Influenza A segments HA, M, NA, and NP, and consensus (a) and haplotype (b) frequencies across time points2.

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To find out how SMRT Sequencing can advance your microbial research efforts, contact us.

 

References

  1. Atack et al., (2015) A biphasic epigenetic switch controls immunoevasion, virulence and niche adaptation in non-typeable Haemophilus influenzae. Nature Communications. 6(7828).
  2. Rogers M., et al., (2015) Intrahost dynamics of antiviral resistance in influenza A virus reflects complex patterns of segment linkage, reassortment, and natural selection. mBio. 6(2), e02464-14.

Selected Resources