Bacterial Whole Genome Sequencing

Overview

Unravelling the mysteries of microbes beyond phylogenetics 

Whole-genome sequencing (WGS) of microbes employing next-generation sequencing (NGS) technologies enables pathogen identification, differentiation, and surveillance on an unprecedented scale and level of resolution; thereby, profoundly impacting diagnostic microbiology and public health.1 Within the 10 years following the publication of the first bacterial genome (the 1.8 Mb genome of Haemophilus influenza),2 50 different bacterial and 11 archaeal phyla were represented in publicly available databases, with the total number of microbial genomes exceeding 30,000.3 Unlike 16S rRNA sequencing, which enables us to identify microbes and construct phylogenetic relationships, microbial WGS supports functional and comparative studies, as well as the identification and characterization of important genetic variants. 

Routine WGS of microbes demands rapid, robust, and scalable library construction workflows, capable of generating high-quality sequence data across a wide range of genome sizes, complexities and genomic GC content. Roche Sample Prep Solutions offer an integrated approach to sample preparation, addressing all of the steps required to convert a sample to a sequencing-ready library. From sample collection to library quantification, we offer sample prep solutions for different sample types and sequencing applications that are proven, simple and complete
 


 

Bacterial WGS sample prep challenges and solutions

Learn more about the challenges of producing high-quality bacterial WGS libraries in both low- and high-throughput workflows and how these challenges are being addressed. Roche's flexible, streamlined and complete workflow offers high and uniform coverage of diverse genomic content to enable library construction from crude samples to facilitate de novo assembly of bacterial genomes.

 

References:

  1. Motroa, Y et al. Next-generation sequencing applications in clinical bacteriology. Biomol Detect Quantif. 2017; 14:1.doi:  10.1016/j.bdq.2017.10.002
  2. Fleischmann, R.D. et al. Whole-Genome Random Sequencing and Assembly of Haemophilus influenzae Rd. Science. 1995; 269:496. doi: 10.1126/science.7542800.
  3. Land, M. et al. Insights from 20 years of bacterial genome sequencing. Funct. Integr. Genomics. 2015;15(2):141. doi:10.1007/s10142-015-0433-4.