Volume 11, Number 3, March 2005

Rapid Identification of Emerging Pathogens: Coronavirus

Rangarajan Sampath,* Steven A. Hofstadler,* Lawrence B. Blyn,* Mark W. Eshoo,* Thomas A. Hall,* Christian Massire,* Harold M. Levene,* James C. Hannis,* Patina M. Harrell,* Benjamin Neuman,† Michael J. Buchmeier,† Yun Jiang,* Raymond Ranken,* Jared J. Drader,* Vivek Samant,* Richard H. Griffey,* John A. McNeil,* Stanley T. Crooke,* and David J. Ecker*
*Ibis Therapeutics, Carlsbad, California, USA; and †The Scripps Research Institute, La Jolla, California, USA

Figure 3. Spatial representation of base compositions for the 3 coronavirus (CoV) species known to infect humans. Severe acute respiratory syndrome (SARS), HCoV-OC43, and HCoV-229E base compositions in the region amplified by RNA-dependent RNA polymerase primers (Table 1) are plotted on the A, G, and C axes. T counts are shown by the tilt of the symbol. Within a species, all known isolates of each virus (37 isolates for SARS, 4 for HCoV-229E, and 2 for OC43) had identical sequences in this region. Δ_bc represents the number of changes in the A, G, C, and T bases needed for 1 species to be misidentified as another in the direction of the arrow. Δ_m represents the pairwise mutation distance between 2 species, or the cumulative probability of Δ_bc occurring.

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This page last reviewed February 7, 2005

Emerging Infectious Diseases Journal
National Center for Infectious Diseases
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