Reducing assembly complexity of microbial genomes with single-molecule sequencing

Reducing assembly complexity of microbial genomes with single-molecule sequencing
Sergey Koren, Gregory P Harhay, Timothy PL Smith, James L Bono, Dayna M Harhay, D. Scott Mcvey, Diana Radune, Nicholas H Bergman, Adam M Phillippy
(Submitted on 13 Apr 2013)

Background: The short reads output by first- and second-generation DNA sequencing instruments cannot completely reconstruct microbial chromosomes. Therefore, most genomes have been left unfinished due to the significant resources required to manually close gaps in draft assemblies. Single-molecule sequencing addresses this problem by greatly increasing sequencing read length, which simplifies the assembly problem.
Results: To measure the benefit of single-molecule sequencing on microbial genome assembly, we sequenced and assembled the genomes of six bacteria and analyzed the repeat complexity of 2,267 complete bacteria and archaea. Our results indicate that the majority of known bacterial and archaeal genomes can be assembled without gaps, at finished-grade quality, using a single PacBio RS sequencing library. These assemblies are also comparable in accuracy to hybrid assemblies including second-generation data.
Conclusions: Automated assembly of long, single-molecule sequencing data reduces the cost of microbial finishing to below $2,000 for most genomes, and future advances in this technology are expected to drive the cost lower. This is expected to increase the number of complete genomes, improve the quality of microbial genome databases, and enable high-fidelity, population-scale studies of pan-genomes and chromosomal organization.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s