Microbiome of Bacterially Impaired Watersheds: Distribution of Potential Bacterial Pathogens
Bacterial impairment of freshwater systems is a commonly studied global problem. However, studies on the relative distribution of bacterial pathogens in different impaired aquatic systems have been limited. Frequently, impaired freshwater systems are classified by the presence of fecal indicator bac...
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MDPI AG
2022-01-01
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Online Access: | https://www.mdpi.com/1424-2818/14/2/96 |
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author | John C. Kincaid Marc R. Owen Robert T. Pavlowsky Babur S. Mirza |
author_facet | John C. Kincaid Marc R. Owen Robert T. Pavlowsky Babur S. Mirza |
author_sort | John C. Kincaid |
collection | DOAJ |
description | Bacterial impairment of freshwater systems is a commonly studied global problem. However, studies on the relative distribution of bacterial pathogens in different impaired aquatic systems have been limited. Frequently, impaired freshwater systems are classified by the presence of fecal indicator bacteria (FIB) and the identification of sources of fecal contamination through microbial source tracking. In this study, we assessed the relative abundance of DNA sequences related to potential human bacterial pathogens along with human fecal indicator bacteria in three impaired watersheds. These watersheds consistently showed a high abundance of FIB for the past several years. Using Illumina paired-end DNA sequencing of 16S rRNA gene amplicons, we observed variation in the relative distribution of DNA sequences related to <i>Legionellaceae</i>, <i>Enterobacteriaceae</i> and <i>Bacteroidaceae</i> families across different sites. We identified potential hotspots sites in these impaired water systems, which showed a relatively high abundance of pathogen-related DNA sequences. This study demonstrates the significance of Next-Gen DNA sequencing for the initial screening of waterborne pathogens and the identification of high-risk sites for preferential remediation efforts in impaired water systems. Secondly, the frequent temporal monitoring of specifically identified pathogens that are in high abundance in a watershed can help in the accurate prediction and prevention of disease outbreaks. |
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format | Article |
id | doaj.art-2f937526304146cda23ad68e7901739a |
institution | Directory Open Access Journal |
issn | 1424-2818 |
language | English |
last_indexed | 2024-03-09T22:09:10Z |
publishDate | 2022-01-01 |
publisher | MDPI AG |
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series | Diversity |
spelling | doaj.art-2f937526304146cda23ad68e7901739a2023-11-23T19:34:49ZengMDPI AGDiversity1424-28182022-01-011429610.3390/d14020096Microbiome of Bacterially Impaired Watersheds: Distribution of Potential Bacterial PathogensJohn C. Kincaid0Marc R. Owen1Robert T. Pavlowsky2Babur S. Mirza3Department of Biology, Missouri State University, Springfield, MO 65897, USAOzark Environmental and Water Resources Institute, Missouri State University, Springfield, MO 65897, USAOzark Environmental and Water Resources Institute, Missouri State University, Springfield, MO 65897, USADepartment of Biology, Missouri State University, Springfield, MO 65897, USABacterial impairment of freshwater systems is a commonly studied global problem. However, studies on the relative distribution of bacterial pathogens in different impaired aquatic systems have been limited. Frequently, impaired freshwater systems are classified by the presence of fecal indicator bacteria (FIB) and the identification of sources of fecal contamination through microbial source tracking. In this study, we assessed the relative abundance of DNA sequences related to potential human bacterial pathogens along with human fecal indicator bacteria in three impaired watersheds. These watersheds consistently showed a high abundance of FIB for the past several years. Using Illumina paired-end DNA sequencing of 16S rRNA gene amplicons, we observed variation in the relative distribution of DNA sequences related to <i>Legionellaceae</i>, <i>Enterobacteriaceae</i> and <i>Bacteroidaceae</i> families across different sites. We identified potential hotspots sites in these impaired water systems, which showed a relatively high abundance of pathogen-related DNA sequences. This study demonstrates the significance of Next-Gen DNA sequencing for the initial screening of waterborne pathogens and the identification of high-risk sites for preferential remediation efforts in impaired water systems. Secondly, the frequent temporal monitoring of specifically identified pathogens that are in high abundance in a watershed can help in the accurate prediction and prevention of disease outbreaks.https://www.mdpi.com/1424-2818/14/2/96waterborne pathogensbacterially impaired watershedsdistribution of <i>Legionellaceae</i> and <i>Enterobacteriaceae</i> related pathogens |
spellingShingle | John C. Kincaid Marc R. Owen Robert T. Pavlowsky Babur S. Mirza Microbiome of Bacterially Impaired Watersheds: Distribution of Potential Bacterial Pathogens Diversity waterborne pathogens bacterially impaired watersheds distribution of <i>Legionellaceae</i> and <i>Enterobacteriaceae</i> related pathogens |
title | Microbiome of Bacterially Impaired Watersheds: Distribution of Potential Bacterial Pathogens |
title_full | Microbiome of Bacterially Impaired Watersheds: Distribution of Potential Bacterial Pathogens |
title_fullStr | Microbiome of Bacterially Impaired Watersheds: Distribution of Potential Bacterial Pathogens |
title_full_unstemmed | Microbiome of Bacterially Impaired Watersheds: Distribution of Potential Bacterial Pathogens |
title_short | Microbiome of Bacterially Impaired Watersheds: Distribution of Potential Bacterial Pathogens |
title_sort | microbiome of bacterially impaired watersheds distribution of potential bacterial pathogens |
topic | waterborne pathogens bacterially impaired watersheds distribution of <i>Legionellaceae</i> and <i>Enterobacteriaceae</i> related pathogens |
url | https://www.mdpi.com/1424-2818/14/2/96 |
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