PLoS ONE (Jan 2014)

CTAG-containing cleavage site profiling to delineate Salmonella into natural clusters.

  • Le Tang,
  • Wei-Qiao Liu,
  • Xin Fang,
  • Qiang Sun,
  • Song-Ling Zhu,
  • Chun-Xiao Wang,
  • Xiao-Yu Wang,
  • Yong-Guo Li,
  • Da-Ling Zhu,
  • Kenneth E Sanderson,
  • Randal N Johnston,
  • Gui-Rong Liu,
  • Shu-Lin Liu

DOI
https://doi.org/10.1371/journal.pone.0103388
Journal volume & issue
Vol. 9, no. 8
p. e103388

Abstract

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BackgroundThe bacterial genus Salmonella contains thousands of serotypes that infect humans or other hosts, causing mild gastroenteritis to potentially fatal systemic infections in humans. Pathogenically distinct Salmonella serotypes have been classified as individual species or as serological variants of merely one or two species, causing considerable confusion in both research and clinical settings. This situation reflects a long unanswered question regarding whether the Salmonella serotypes exist as discrete genetic clusters (natural species) of organisms or as phenotypic (e.g. pathogenic) variants of a single (or two) natural species with a continuous spectrum of genetic divergence among them. Our recent work, based on genomic sequence divergence analysis, has demonstrated that genetic boundaries exist among Salmonella serotypes, circumscribing them into clear-cut genetic clusters of bacteria.Methodologies/principal findingsTo further test the genetic boundary concept for delineating Salmonella into clearly defined natural lineages (e.g., species), we sampled a small subset of conserved genomic DNA sequences, i.e., the endonuclease cleavage sites that contain the highly conserved CTAG sequence such as TCTAGA for XbaI. We found that the CTAG-containing cleavage sequence profiles could be used to resolve the genetic boundaries as reliably and efficiently as whole genome sequence comparisons but with enormously reduced requirements for time and resources.ConclusionsProfiling of CTAG sequence subsets reflects genetic boundaries among Salmonella lineages and can delineate these bacteria into discrete natural clusters.