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Microbial metagenome of urinary tract infection
Urine culture and microscopy techniques are used to profile the bacterial species present in urinary tract infections. To gain insight into the urinary flora, we analyzed clinical laboratory features and the microbial metagenome of 121 clean-catch urine samples. 16S rDNA gene signatures were success...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5847550/ https://www.ncbi.nlm.nih.gov/pubmed/29531289 http://dx.doi.org/10.1038/s41598-018-22660-8 |
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author | Moustafa, Ahmed Li, Weizhong Singh, Harinder Moncera, Kelvin J. Torralba, Manolito G. Yu, Yanbao Manuel, Oriol Biggs, William Venter, J. Craig Nelson, Karen E. Pieper, Rembert Telenti, Amalio |
author_facet | Moustafa, Ahmed Li, Weizhong Singh, Harinder Moncera, Kelvin J. Torralba, Manolito G. Yu, Yanbao Manuel, Oriol Biggs, William Venter, J. Craig Nelson, Karen E. Pieper, Rembert Telenti, Amalio |
author_sort | Moustafa, Ahmed |
collection | PubMed |
description | Urine culture and microscopy techniques are used to profile the bacterial species present in urinary tract infections. To gain insight into the urinary flora, we analyzed clinical laboratory features and the microbial metagenome of 121 clean-catch urine samples. 16S rDNA gene signatures were successfully obtained for 116 participants, while metagenome sequencing data was successfully generated for samples from 49 participants. Although 16S rDNA sequencing was more sensitive, metagenome sequencing allowed for a more comprehensive and unbiased representation of the microbial flora, including eukarya and viral pathogens, and of bacterial virulence factors. Urine samples positive by metagenome sequencing contained a plethora of bacterial (median 41 genera/sample), eukarya (median 2 species/sample) and viral sequences (median 3 viruses/sample). Genomic analyses suggested cases of infection with potential pathogens that are often missed during routine urine culture due to species specific growth requirements. While conventional microbiological methods are inadequate to identify a large diversity of microbial species that are present in urine, genomic approaches appear to more comprehensively and quantitatively describe the urinary microbiome. |
format | Online Article Text |
id | pubmed-5847550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58475502018-03-19 Microbial metagenome of urinary tract infection Moustafa, Ahmed Li, Weizhong Singh, Harinder Moncera, Kelvin J. Torralba, Manolito G. Yu, Yanbao Manuel, Oriol Biggs, William Venter, J. Craig Nelson, Karen E. Pieper, Rembert Telenti, Amalio Sci Rep Article Urine culture and microscopy techniques are used to profile the bacterial species present in urinary tract infections. To gain insight into the urinary flora, we analyzed clinical laboratory features and the microbial metagenome of 121 clean-catch urine samples. 16S rDNA gene signatures were successfully obtained for 116 participants, while metagenome sequencing data was successfully generated for samples from 49 participants. Although 16S rDNA sequencing was more sensitive, metagenome sequencing allowed for a more comprehensive and unbiased representation of the microbial flora, including eukarya and viral pathogens, and of bacterial virulence factors. Urine samples positive by metagenome sequencing contained a plethora of bacterial (median 41 genera/sample), eukarya (median 2 species/sample) and viral sequences (median 3 viruses/sample). Genomic analyses suggested cases of infection with potential pathogens that are often missed during routine urine culture due to species specific growth requirements. While conventional microbiological methods are inadequate to identify a large diversity of microbial species that are present in urine, genomic approaches appear to more comprehensively and quantitatively describe the urinary microbiome. Nature Publishing Group UK 2018-03-12 /pmc/articles/PMC5847550/ /pubmed/29531289 http://dx.doi.org/10.1038/s41598-018-22660-8 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Moustafa, Ahmed Li, Weizhong Singh, Harinder Moncera, Kelvin J. Torralba, Manolito G. Yu, Yanbao Manuel, Oriol Biggs, William Venter, J. Craig Nelson, Karen E. Pieper, Rembert Telenti, Amalio Microbial metagenome of urinary tract infection |
title | Microbial metagenome of urinary tract infection |
title_full | Microbial metagenome of urinary tract infection |
title_fullStr | Microbial metagenome of urinary tract infection |
title_full_unstemmed | Microbial metagenome of urinary tract infection |
title_short | Microbial metagenome of urinary tract infection |
title_sort | microbial metagenome of urinary tract infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5847550/ https://www.ncbi.nlm.nih.gov/pubmed/29531289 http://dx.doi.org/10.1038/s41598-018-22660-8 |
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