Predicting Phenotype and Emerging Strains among Chlamydia trachomatis Infections
Deborah Dean , William J. Bruno, Raymond Wan, João P. Gomes, Stéphanie Devignot, Tigist Mehari, Henry J.C. de Vries, Servaas A. Morré, Garry Myers, Timothy D. Read, and Brian G. Spratt
Author affiliations: Children’s Hospital Oakland Research Institute, Oakland, California, USA (D. Dean, R. Wan, T. Mehari); University of California, San Francisco, California, USA (D. Dean); University of California, Berkeley, California, USA (D. Dean); Los Alamos National Laboratories, Los Alamos, New Mexico, USA (W.J. Bruno); National Institute of Health, Lisbon, Portugal (J.P. Gomes); Institut de Médecine Tropicale du Service de Santé des Armées, Marseille, France (S. Devignot); University of Amsterdam, the Netherlands (H.J.C. de Vries); Vrije Universiteit Medical Center, Amsterdam (S.A. Morré); University of Maryland School of Medicine, Baltimore, Maryland, USA (G. Myers); Emory University, Atlanta, Georgia, USA (T.D. Read); Imperial College, London, UK (B.G. Spratt)
Figure 4. Minimum evolution tree for ompA. The tree was constructed using the matrix of pairwise differences between the 87 sequences by using the maximum composite likelihood method for estimating genetic distances. Numbers are bootstrap values (1,000 replicates) >70%. Lavender, invasive lymphogranuloma venereum (LGV); gold, noninvasive, nonprevalent sexually transmitted infection (STI) strains; red, trachoma strains; blue, noninvasive, highly prevalent STI strains; green, putative recombinant stains. Scale bar indicates number of substitutions per site.
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