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Population structure of Neisseria gonorrhoeae based on whole genome data and its relationship with antibiotic resistance

Neisseria gonorrhoeae is the causative agent of gonorrhea, a sexually transmitted infection (STI) of major importance. As a result of antibiotic resistance, there are now limited options for treating patients. We collected draft genome sequence data and associated metadata data on 76 N. gonorrhoeae...

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Autores principales: Ezewudo, Matthew N., Joseph, Sandeep J., Castillo-Ramirez, Santiago, Dean, Deborah, del Rio, Carlos, Didelot, Xavier, Dillon, Jo-Anne, Selden, Richard F., Shafer, William M., Turingan, Rosemary S., Unemo, Magnus, Read, Timothy D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4358642/
https://www.ncbi.nlm.nih.gov/pubmed/25780762
http://dx.doi.org/10.7717/peerj.806
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author Ezewudo, Matthew N.
Joseph, Sandeep J.
Castillo-Ramirez, Santiago
Dean, Deborah
del Rio, Carlos
Didelot, Xavier
Dillon, Jo-Anne
Selden, Richard F.
Shafer, William M.
Turingan, Rosemary S.
Unemo, Magnus
Read, Timothy D.
author_facet Ezewudo, Matthew N.
Joseph, Sandeep J.
Castillo-Ramirez, Santiago
Dean, Deborah
del Rio, Carlos
Didelot, Xavier
Dillon, Jo-Anne
Selden, Richard F.
Shafer, William M.
Turingan, Rosemary S.
Unemo, Magnus
Read, Timothy D.
author_sort Ezewudo, Matthew N.
collection PubMed
description Neisseria gonorrhoeae is the causative agent of gonorrhea, a sexually transmitted infection (STI) of major importance. As a result of antibiotic resistance, there are now limited options for treating patients. We collected draft genome sequence data and associated metadata data on 76 N. gonorrhoeae strains from around the globe and searched for known determinants of antibiotics resistance within the strains. The population structure and evolutionary forces within the pathogen population were analyzed. Our results indicated a cosmopolitan gonoccocal population mainly made up of five subgroups. The estimated ratio of recombination to mutation (r/m = 2.2) from our data set indicates an appreciable level of recombination occurring in the population. Strains with resistance phenotypes to more recent antibiotics (azithromycin and cefixime) were mostly found in two of the five population subgroups.
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spelling pubmed-43586422015-03-16 Population structure of Neisseria gonorrhoeae based on whole genome data and its relationship with antibiotic resistance Ezewudo, Matthew N. Joseph, Sandeep J. Castillo-Ramirez, Santiago Dean, Deborah del Rio, Carlos Didelot, Xavier Dillon, Jo-Anne Selden, Richard F. Shafer, William M. Turingan, Rosemary S. Unemo, Magnus Read, Timothy D. PeerJ Bioinformatics Neisseria gonorrhoeae is the causative agent of gonorrhea, a sexually transmitted infection (STI) of major importance. As a result of antibiotic resistance, there are now limited options for treating patients. We collected draft genome sequence data and associated metadata data on 76 N. gonorrhoeae strains from around the globe and searched for known determinants of antibiotics resistance within the strains. The population structure and evolutionary forces within the pathogen population were analyzed. Our results indicated a cosmopolitan gonoccocal population mainly made up of five subgroups. The estimated ratio of recombination to mutation (r/m = 2.2) from our data set indicates an appreciable level of recombination occurring in the population. Strains with resistance phenotypes to more recent antibiotics (azithromycin and cefixime) were mostly found in two of the five population subgroups. PeerJ Inc. 2015-03-05 /pmc/articles/PMC4358642/ /pubmed/25780762 http://dx.doi.org/10.7717/peerj.806 Text en © 2015 Ezewudo et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Ezewudo, Matthew N.
Joseph, Sandeep J.
Castillo-Ramirez, Santiago
Dean, Deborah
del Rio, Carlos
Didelot, Xavier
Dillon, Jo-Anne
Selden, Richard F.
Shafer, William M.
Turingan, Rosemary S.
Unemo, Magnus
Read, Timothy D.
Population structure of Neisseria gonorrhoeae based on whole genome data and its relationship with antibiotic resistance
title Population structure of Neisseria gonorrhoeae based on whole genome data and its relationship with antibiotic resistance
title_full Population structure of Neisseria gonorrhoeae based on whole genome data and its relationship with antibiotic resistance
title_fullStr Population structure of Neisseria gonorrhoeae based on whole genome data and its relationship with antibiotic resistance
title_full_unstemmed Population structure of Neisseria gonorrhoeae based on whole genome data and its relationship with antibiotic resistance
title_short Population structure of Neisseria gonorrhoeae based on whole genome data and its relationship with antibiotic resistance
title_sort population structure of neisseria gonorrhoeae based on whole genome data and its relationship with antibiotic resistance
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4358642/
https://www.ncbi.nlm.nih.gov/pubmed/25780762
http://dx.doi.org/10.7717/peerj.806
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