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Microbial profiles of a drinking water resource based on different 16S rRNA V regions during a heavy cyanobacterial bloom in Lake Taihu, China

Understanding of the bacterial community structure in drinking water resources helps to enhance the security of municipal water supplies. In this study, bacterial communities were surveyed in water and sediment during a heavy cyanobacterial bloom in a drinking water resource of Lake Taihu, China. A...

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Autores principales: Zhang, Junyi, Zhu, Congming, Guan, Rui, Xiong, Zhipeng, Zhang, Wen, Shi, Junzhe, Sheng, Yi, Zhu, Bingchuan, Tu, Jing, Ge, Qinyu, Chen, Ting, Lu, Zuhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5418304/
https://www.ncbi.nlm.nih.gov/pubmed/28364202
http://dx.doi.org/10.1007/s11356-017-8693-2
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author Zhang, Junyi
Zhu, Congming
Guan, Rui
Xiong, Zhipeng
Zhang, Wen
Shi, Junzhe
Sheng, Yi
Zhu, Bingchuan
Tu, Jing
Ge, Qinyu
Chen, Ting
Lu, Zuhong
author_facet Zhang, Junyi
Zhu, Congming
Guan, Rui
Xiong, Zhipeng
Zhang, Wen
Shi, Junzhe
Sheng, Yi
Zhu, Bingchuan
Tu, Jing
Ge, Qinyu
Chen, Ting
Lu, Zuhong
author_sort Zhang, Junyi
collection PubMed
description Understanding of the bacterial community structure in drinking water resources helps to enhance the security of municipal water supplies. In this study, bacterial communities were surveyed in water and sediment during a heavy cyanobacterial bloom in a drinking water resource of Lake Taihu, China. A total of 325,317 high-quality sequences were obtained from different 16S ribosomal RNA (rRNA) regions (V3, V4, and V6) using the Miseq sequencing platform. A notable difference was shown between the water and sediment samples, as predominated by Cyanobacteria, Proteobacteria, and Actinobacteria in the water and Proteobacteria, Chloroflexi, and Verrucomicrobia in the sediment, respectively. The LD12 family dominated the water surface and was tightly associated with related indicators of cyanobacterial propagation, indicating involvement in the massive proliferation of cyanobacterial blooms. Alternatively, the genus Nitrospira dominated the sediment samples, which indicates that nitrite oxidation was very active in the sediment. Although pathogenic bacteria were not detected in a large amount, some genera such as Mycobacterium, Acinetobacter, and Legionella were still identified but in very low abundance. In addition, the effects of different V regions on bacterial diversity survey were evaluated. Overall, V4 and V3 were proven to be more promising V regions for bacterial diversity survey in water and sediment samples during heavy water blooms in Lake Taihu, respectively. As longer, cheaper, and faster DNA sequencing technologies become more accessible, we expect that bacterial community structures based on 16S rRNA amplicons as an indicator could be used alongside with physical and chemical indicators, to conduct comprehensive assessments for drinking water resource management. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11356-017-8693-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-54183042017-05-19 Microbial profiles of a drinking water resource based on different 16S rRNA V regions during a heavy cyanobacterial bloom in Lake Taihu, China Zhang, Junyi Zhu, Congming Guan, Rui Xiong, Zhipeng Zhang, Wen Shi, Junzhe Sheng, Yi Zhu, Bingchuan Tu, Jing Ge, Qinyu Chen, Ting Lu, Zuhong Environ Sci Pollut Res Int Research Article Understanding of the bacterial community structure in drinking water resources helps to enhance the security of municipal water supplies. In this study, bacterial communities were surveyed in water and sediment during a heavy cyanobacterial bloom in a drinking water resource of Lake Taihu, China. A total of 325,317 high-quality sequences were obtained from different 16S ribosomal RNA (rRNA) regions (V3, V4, and V6) using the Miseq sequencing platform. A notable difference was shown between the water and sediment samples, as predominated by Cyanobacteria, Proteobacteria, and Actinobacteria in the water and Proteobacteria, Chloroflexi, and Verrucomicrobia in the sediment, respectively. The LD12 family dominated the water surface and was tightly associated with related indicators of cyanobacterial propagation, indicating involvement in the massive proliferation of cyanobacterial blooms. Alternatively, the genus Nitrospira dominated the sediment samples, which indicates that nitrite oxidation was very active in the sediment. Although pathogenic bacteria were not detected in a large amount, some genera such as Mycobacterium, Acinetobacter, and Legionella were still identified but in very low abundance. In addition, the effects of different V regions on bacterial diversity survey were evaluated. Overall, V4 and V3 were proven to be more promising V regions for bacterial diversity survey in water and sediment samples during heavy water blooms in Lake Taihu, respectively. As longer, cheaper, and faster DNA sequencing technologies become more accessible, we expect that bacterial community structures based on 16S rRNA amplicons as an indicator could be used alongside with physical and chemical indicators, to conduct comprehensive assessments for drinking water resource management. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11356-017-8693-2) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-03-31 2017 /pmc/articles/PMC5418304/ /pubmed/28364202 http://dx.doi.org/10.1007/s11356-017-8693-2 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.
spellingShingle Research Article
Zhang, Junyi
Zhu, Congming
Guan, Rui
Xiong, Zhipeng
Zhang, Wen
Shi, Junzhe
Sheng, Yi
Zhu, Bingchuan
Tu, Jing
Ge, Qinyu
Chen, Ting
Lu, Zuhong
Microbial profiles of a drinking water resource based on different 16S rRNA V regions during a heavy cyanobacterial bloom in Lake Taihu, China
title Microbial profiles of a drinking water resource based on different 16S rRNA V regions during a heavy cyanobacterial bloom in Lake Taihu, China
title_full Microbial profiles of a drinking water resource based on different 16S rRNA V regions during a heavy cyanobacterial bloom in Lake Taihu, China
title_fullStr Microbial profiles of a drinking water resource based on different 16S rRNA V regions during a heavy cyanobacterial bloom in Lake Taihu, China
title_full_unstemmed Microbial profiles of a drinking water resource based on different 16S rRNA V regions during a heavy cyanobacterial bloom in Lake Taihu, China
title_short Microbial profiles of a drinking water resource based on different 16S rRNA V regions during a heavy cyanobacterial bloom in Lake Taihu, China
title_sort microbial profiles of a drinking water resource based on different 16s rrna v regions during a heavy cyanobacterial bloom in lake taihu, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5418304/
https://www.ncbi.nlm.nih.gov/pubmed/28364202
http://dx.doi.org/10.1007/s11356-017-8693-2
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