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Dating the Cryptococcus gattii Dispersal to the North American Pacific Northwest
The emergence of Cryptococcus gattii, previously regarded as a predominantly tropical pathogen, in the temperate climate of the North American Pacific Northwest (PNW) in 1999 prompted several questions. The most prevalent among these was the timing of the introduction of this pathogen to this novel...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5770541/ https://www.ncbi.nlm.nih.gov/pubmed/29359190 http://dx.doi.org/10.1128/mSphere.00499-17 |
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author | Roe, Chandler C. Bowers, Jolene Oltean, Hanna DeBess, Emilio Dufresne, Philippe J. McBurney, Scott Overy, David P. Wanke, Bodo Lysen, Colleen Chiller, Tom Meyer, Wieland Thompson, George R. Lockhart, Shawn R. Hepp, Crystal M. Engelthaler, David M. |
author_facet | Roe, Chandler C. Bowers, Jolene Oltean, Hanna DeBess, Emilio Dufresne, Philippe J. McBurney, Scott Overy, David P. Wanke, Bodo Lysen, Colleen Chiller, Tom Meyer, Wieland Thompson, George R. Lockhart, Shawn R. Hepp, Crystal M. Engelthaler, David M. |
author_sort | Roe, Chandler C. |
collection | PubMed |
description | The emergence of Cryptococcus gattii, previously regarded as a predominantly tropical pathogen, in the temperate climate of the North American Pacific Northwest (PNW) in 1999 prompted several questions. The most prevalent among these was the timing of the introduction of this pathogen to this novel environment. Here, we infer tip-dated timing estimates for the three clonal C. gattii populations observed in the PNW, VGIIa, VGIIb, and VGIIc, based on whole-genome sequencing of 134 C. gattii isolates and using Bayesian evolutionary analysis by sampling trees (BEAST). We estimated the nucleotide substitution rate for each lineage (1.59 × 10(−8), 1.59 × 10(−8), and 2.70 × 10(−8), respectively) to be an order of magnitude higher than common neutral fungal mutation rates (2.0 × 10(−9)), indicating a microevolutionary rate (e.g., successive clonal generations in a laboratory) in comparison to a species’ slower, macroevolutionary rate (e.g., when using fossil records). The clonal nature of the PNW C. gattii emergence over a narrow number of years would therefore possibly explain our higher mutation rates. Our results suggest that the mean time to most recent common ancestor for all three sublineages occurred within the last 60 to 100 years. While the cause of C. gattii dispersal to the PNW is still unclear, our research estimates that the arrival is neither ancient nor very recent (i.e., <25 years ago), making a strong case for an anthropogenic introduction. IMPORTANCE The recent emergence of the pathogenic fungus Cryptococcus gattii in the Pacific Northwest (PNW) resulted in numerous investigations into the epidemiological and enzootic impacts, as well as multiple genomic explorations of the three primary molecular subtypes of the fungus that were discovered. These studies lead to the general conclusion that the subtypes identified likely emerged out of Brazil. Here, we conducted genomic dating analyses to determine the ages of the various lineages seen in the PNW and propose hypothetical causes for the dispersal events. Bayesian evolutionary analysis strongly suggests that these independent fungal populations in the PNW are all 60 to 100 years old, providing a timing that is subsequent to the opening of the Panama Canal, which allowed for more direct shipping between Brazil and the western North American coastline, a possible driving event for these fungal translocation events. |
format | Online Article Text |
id | pubmed-5770541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-57705412018-01-22 Dating the Cryptococcus gattii Dispersal to the North American Pacific Northwest Roe, Chandler C. Bowers, Jolene Oltean, Hanna DeBess, Emilio Dufresne, Philippe J. McBurney, Scott Overy, David P. Wanke, Bodo Lysen, Colleen Chiller, Tom Meyer, Wieland Thompson, George R. Lockhart, Shawn R. Hepp, Crystal M. Engelthaler, David M. mSphere Research Article The emergence of Cryptococcus gattii, previously regarded as a predominantly tropical pathogen, in the temperate climate of the North American Pacific Northwest (PNW) in 1999 prompted several questions. The most prevalent among these was the timing of the introduction of this pathogen to this novel environment. Here, we infer tip-dated timing estimates for the three clonal C. gattii populations observed in the PNW, VGIIa, VGIIb, and VGIIc, based on whole-genome sequencing of 134 C. gattii isolates and using Bayesian evolutionary analysis by sampling trees (BEAST). We estimated the nucleotide substitution rate for each lineage (1.59 × 10(−8), 1.59 × 10(−8), and 2.70 × 10(−8), respectively) to be an order of magnitude higher than common neutral fungal mutation rates (2.0 × 10(−9)), indicating a microevolutionary rate (e.g., successive clonal generations in a laboratory) in comparison to a species’ slower, macroevolutionary rate (e.g., when using fossil records). The clonal nature of the PNW C. gattii emergence over a narrow number of years would therefore possibly explain our higher mutation rates. Our results suggest that the mean time to most recent common ancestor for all three sublineages occurred within the last 60 to 100 years. While the cause of C. gattii dispersal to the PNW is still unclear, our research estimates that the arrival is neither ancient nor very recent (i.e., <25 years ago), making a strong case for an anthropogenic introduction. IMPORTANCE The recent emergence of the pathogenic fungus Cryptococcus gattii in the Pacific Northwest (PNW) resulted in numerous investigations into the epidemiological and enzootic impacts, as well as multiple genomic explorations of the three primary molecular subtypes of the fungus that were discovered. These studies lead to the general conclusion that the subtypes identified likely emerged out of Brazil. Here, we conducted genomic dating analyses to determine the ages of the various lineages seen in the PNW and propose hypothetical causes for the dispersal events. Bayesian evolutionary analysis strongly suggests that these independent fungal populations in the PNW are all 60 to 100 years old, providing a timing that is subsequent to the opening of the Panama Canal, which allowed for more direct shipping between Brazil and the western North American coastline, a possible driving event for these fungal translocation events. American Society for Microbiology 2018-01-17 /pmc/articles/PMC5770541/ /pubmed/29359190 http://dx.doi.org/10.1128/mSphere.00499-17 Text en Copyright © 2018 Roe et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Roe, Chandler C. Bowers, Jolene Oltean, Hanna DeBess, Emilio Dufresne, Philippe J. McBurney, Scott Overy, David P. Wanke, Bodo Lysen, Colleen Chiller, Tom Meyer, Wieland Thompson, George R. Lockhart, Shawn R. Hepp, Crystal M. Engelthaler, David M. Dating the Cryptococcus gattii Dispersal to the North American Pacific Northwest |
title | Dating the Cryptococcus gattii Dispersal to the North American Pacific Northwest |
title_full | Dating the Cryptococcus gattii Dispersal to the North American Pacific Northwest |
title_fullStr | Dating the Cryptococcus gattii Dispersal to the North American Pacific Northwest |
title_full_unstemmed | Dating the Cryptococcus gattii Dispersal to the North American Pacific Northwest |
title_short | Dating the Cryptococcus gattii Dispersal to the North American Pacific Northwest |
title_sort | dating the cryptococcus gattii dispersal to the north american pacific northwest |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5770541/ https://www.ncbi.nlm.nih.gov/pubmed/29359190 http://dx.doi.org/10.1128/mSphere.00499-17 |
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