Characterization of probiotic Escherichia coli isolates with a novel pan-genome microarray

Genome Biol. 2007;8(12):R267. doi: 10.1186/gb-2007-8-12-r267.

Abstract

Background: Microarrays have recently emerged as a novel procedure to evaluate the genetic content of bacterial species. So far, microarrays have mostly covered single or few strains from the same species. However, with cheaper high-throughput sequencing techniques emerging, multiple strains of the same species are rapidly becoming available, allowing for the definition and characterization of a whole species as a population of genomes--the 'pan-genome'.

Results: Using 32 Escherichia coli and Shigella genome sequences we estimate the pan- and core genome of the species. We designed a high-density microarray in order to provide a tool for characterization of the E. coli pan-genome. Technical performance of this pan-genome microarray based on control strain samples (E. coli K-12 and O157:H7) demonstrated a high sensitivity and relatively low false positive rate. A single-channel analysis approach is robust while allowing the possibility for deriving presence/absence predictions for any gene included on our pan-genome microarray. Moreover, the array was highly sufficient to investigate the gene content of non-pathogenic isolates, despite the strong bias towards pathogenic E. coli strains that have been sequenced so far.

Conclusion: This high-density microarray provides an excellent tool for characterizing the genetic makeup of unknown E. coli strains and can also deliver insights into phylogenetic relationships. Its design poses a considerably larger challenge and involves different considerations than the design of single strain microarrays. Here, lessons learned and future directions will be discussed in order to optimize design of microarrays targeting entire pan-genomes.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Escherichia coli / classification
  • Escherichia coli / genetics*
  • Genome, Bacterial
  • Oligonucleotide Array Sequence Analysis / methods*
  • Phylogeny
  • Probiotics*
  • Shigella / genetics