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 3. Minimum evolution tree. The tree was constructed using the matrix of pairwise differences between the 87 concatenated sequences for the 7 loci using 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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