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Volume 11, Number 8—August 2005
Dispatch

West Nile Virus Detection in Urine

Jessica H. Tonry*Comments to Author , Craig B. Brown†, Cecil B. Cropp*, Juliene K.G. Co*, Shannon N. Bennett*, Vivek R. Nerurkar*, Timothy Kuberski‡, and Duane J. Gubler*
Author affiliations: *Asia Pacific Institute of Tropical Medicine and Infectious Diseases John A. Burns School of Medicine, Honolulu, Hawaii, USA; †Arizona College of Osteopathic Medicine, Glendale, Arizona, USA; ‡John C. Lincoln Hospital Deer Valley, Phoenix, Arizona, USA

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Figure

Maximum likelihood (ML) tree showing the phylogenetic relationships between West Nile virus (WNV) urine sample Arizona JW 2004 (italicized and underlined) and previously published WNV strains based on capsid/prM gene junction (356 bp). Samples are coded by location, strain, and year of isolation. Locations include France (FR); Kunjin (Kunj); Romania (Rom); Russia (Russ); Tunisia (Tun); Uganda (Ugda); Volgograd, Russia (Vlgd); and the US states of New York (NY), Texas (TX), New Jersey (NJ), Maryl

Figure. . Maximum likelihood (ML) tree showing the phylogenetic relationships between West Nile virus (WNV) urine sample Arizona JW 2004 (italicized and underlined) and previously published WNV strains based on capsid/prM gene junction (356 bp). Samples are coded by location, strain, and year of isolation. Locations include France (FR); Kunjin (Kunj); Romania (Rom); Russia (Russ); Tunisia (Tun); Uganda (Ugda); Volgograd, Russia (Vlgd); and the US states of New York (NY), Texas (TX), New Jersey (NJ), Maryland (MD), and Connecticut (CN). Support indicated above and below nodes are bootstrap values (1,000 neighbor-joining replicates using the ML model of evolution) and Bayesian posterior probabilities (Bayesian MCMC [Metropolis-Hastings Markov chain Monte Carlo tree sampling] for 4 chains length 2 × 106, sample frequency 100, with a 2,000-tree burn-in), respectively.

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