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Volume 29, Number 1—January 2023
Research

Genomic Epidemiology Linking Nonendemic Coccidioidomycosis to Travel

Juan Monroy-Nieto, Lalitha Gade, Kaitlin Benedict, Kizee A. Etienne, Anastasia P. Litvintseva, Jolene R. Bowers, David M. Engelthaler, and Nancy A. ChowComments to Author 
Author affiliations: Translational Genomics Research Institute, Pathogen and Microbiome Division, Flagstaff, Arizona, USA (J. Monroy-Nieto, J.R. Bowers, D.M. Engelthaler); Centers for Disease Control and Prevention, Atlanta, Georgia, USA (L. Gade, K. Benedict, K. Etienne, A.P. Litvintseva, N.A. Chow)

Main Article

Figure 2

Summarized maximum-likelihood phylogenetic tree for Coccidioides immitis isolates from study of genomic epidemiology linking nonendemic coccidioidomycosis to travel and reference isolates. Each recognized phylogeographic clade is highlighted with a colored gradient labeled in its top right corner. Samples with travel history are presented with locations of isolation and all known patient travel, with colors for the geographic regions. Red bold tip labels indicate samples sequenced for this study; other samples are included when including travel history or otherwise mentioned in the main text.

Figure 2. Summarized maximum-likelihood phylogenetic tree for Coccidioides immitis isolates from study of genomic epidemiology linking nonendemic coccidioidomycosis to travel and reference isolates. Each recognized phylogeographic clade is highlighted with a colored gradient labeled in its top right corner. Samples with travel history are presented with locations of isolation and all known patient travel, with colors for the geographic regions. Red bold tip labels indicate samples sequenced for this study; other samples are included when including travel history or otherwise mentioned in the main text.

Main Article

Page created: October 18, 2022
Page updated: December 21, 2022
Page reviewed: December 21, 2022
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