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Variability in metagenomic samples from the Puget Sound: Relationship to temporal and anthropogenic impacts
Whole-metagenome sequencing (WMS) has emerged as a powerful tool to assess potential public health risks in marine environments by measuring changes in microbial community structure and function in uncultured bacteria. In addition to monitoring public health risks such as antibiotic resistance deter...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811002/ https://www.ncbi.nlm.nih.gov/pubmed/29438385 http://dx.doi.org/10.1371/journal.pone.0192412 |
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author | Wallace, James C. Youngblood, Jessica E. Port, Jesse A. Cullen, Alison C. Smith, Marissa N. Workman, Tomomi Faustman, Elaine M. |
author_facet | Wallace, James C. Youngblood, Jessica E. Port, Jesse A. Cullen, Alison C. Smith, Marissa N. Workman, Tomomi Faustman, Elaine M. |
author_sort | Wallace, James C. |
collection | PubMed |
description | Whole-metagenome sequencing (WMS) has emerged as a powerful tool to assess potential public health risks in marine environments by measuring changes in microbial community structure and function in uncultured bacteria. In addition to monitoring public health risks such as antibiotic resistance determinants, it is essential to measure predictors of microbial variation in order to identify natural versus anthropogenic factors as well as to evaluate reproducibility of metagenomic measurements.This study expands our previous metagenomic characterization of Puget Sound by sampling new nearshore environments including the Duwamish River, an EPA superfund site, and the Hood Canal, an area characterized by highly variable oxygen levels. We also resampled a wastewater treatment plant, nearshore and open ocean sites introducing a longitudinal component measuring seasonal and locational variations and establishing metagenomics sampling reproducibility. Microbial composition from samples collected in the open sound were highly similar within the same season and location across different years, while nearshore samples revealed multi-fold seasonal variation in microbial composition and diversity. Comparisons with recently sequenced predominant marine bacterial genomes helped provide much greater species level taxonomic detail compared to our previous study. Antibiotic resistance determinants and pollution and detoxification indicators largely grouped by location showing minor seasonal differences. Metal resistance, oxidative stress and detoxification systems showed no increase in samples proximal to an EPA superfund site indicating a lack of ecosystem adaptation to anthropogenic impacts. Taxonomic analysis of common sewage influent families showed a surprising similarity between wastewater treatment plant and open sound samples suggesting a low-level but pervasive sewage influent signature in Puget Sound surface waters. Our study shows reproducibility of metagenomic data sampling in multiple Puget Sound locations while establishing baseline measurements of antibiotic resistance determinants, pollution and detoxification systems. Combining seasonal and longitudinal data across these locations provides a foundation for evaluating variation in future studies. |
format | Online Article Text |
id | pubmed-5811002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58110022018-02-28 Variability in metagenomic samples from the Puget Sound: Relationship to temporal and anthropogenic impacts Wallace, James C. Youngblood, Jessica E. Port, Jesse A. Cullen, Alison C. Smith, Marissa N. Workman, Tomomi Faustman, Elaine M. PLoS One Research Article Whole-metagenome sequencing (WMS) has emerged as a powerful tool to assess potential public health risks in marine environments by measuring changes in microbial community structure and function in uncultured bacteria. In addition to monitoring public health risks such as antibiotic resistance determinants, it is essential to measure predictors of microbial variation in order to identify natural versus anthropogenic factors as well as to evaluate reproducibility of metagenomic measurements.This study expands our previous metagenomic characterization of Puget Sound by sampling new nearshore environments including the Duwamish River, an EPA superfund site, and the Hood Canal, an area characterized by highly variable oxygen levels. We also resampled a wastewater treatment plant, nearshore and open ocean sites introducing a longitudinal component measuring seasonal and locational variations and establishing metagenomics sampling reproducibility. Microbial composition from samples collected in the open sound were highly similar within the same season and location across different years, while nearshore samples revealed multi-fold seasonal variation in microbial composition and diversity. Comparisons with recently sequenced predominant marine bacterial genomes helped provide much greater species level taxonomic detail compared to our previous study. Antibiotic resistance determinants and pollution and detoxification indicators largely grouped by location showing minor seasonal differences. Metal resistance, oxidative stress and detoxification systems showed no increase in samples proximal to an EPA superfund site indicating a lack of ecosystem adaptation to anthropogenic impacts. Taxonomic analysis of common sewage influent families showed a surprising similarity between wastewater treatment plant and open sound samples suggesting a low-level but pervasive sewage influent signature in Puget Sound surface waters. Our study shows reproducibility of metagenomic data sampling in multiple Puget Sound locations while establishing baseline measurements of antibiotic resistance determinants, pollution and detoxification systems. Combining seasonal and longitudinal data across these locations provides a foundation for evaluating variation in future studies. Public Library of Science 2018-02-13 /pmc/articles/PMC5811002/ /pubmed/29438385 http://dx.doi.org/10.1371/journal.pone.0192412 Text en © 2018 Wallace 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, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wallace, James C. Youngblood, Jessica E. Port, Jesse A. Cullen, Alison C. Smith, Marissa N. Workman, Tomomi Faustman, Elaine M. Variability in metagenomic samples from the Puget Sound: Relationship to temporal and anthropogenic impacts |
title | Variability in metagenomic samples from the Puget Sound: Relationship to temporal and anthropogenic impacts |
title_full | Variability in metagenomic samples from the Puget Sound: Relationship to temporal and anthropogenic impacts |
title_fullStr | Variability in metagenomic samples from the Puget Sound: Relationship to temporal and anthropogenic impacts |
title_full_unstemmed | Variability in metagenomic samples from the Puget Sound: Relationship to temporal and anthropogenic impacts |
title_short | Variability in metagenomic samples from the Puget Sound: Relationship to temporal and anthropogenic impacts |
title_sort | variability in metagenomic samples from the puget sound: relationship to temporal and anthropogenic impacts |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811002/ https://www.ncbi.nlm.nih.gov/pubmed/29438385 http://dx.doi.org/10.1371/journal.pone.0192412 |
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