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Geographical patterns of denitrifying bacterial communities associated with different urban lakes
The geographical variation of denitrifying bacterial communities and water quality parameters in urban lakes distributed across nine provinces in China were determined. The Illumina sequencing data of the denitrifying encoding gene nirS was examined in the samples collected from nine localities (pai...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9080392/ https://www.ncbi.nlm.nih.gov/pubmed/35539271 http://dx.doi.org/10.1039/c8ra01295d |
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author | Zhang, Haihan Zhao, Zhenfang Chen, Shengnan Wang, Yue Feng, Ji Jia, Jingyu Kang, Pengliang Li, Sulin |
author_facet | Zhang, Haihan Zhao, Zhenfang Chen, Shengnan Wang, Yue Feng, Ji Jia, Jingyu Kang, Pengliang Li, Sulin |
author_sort | Zhang, Haihan |
collection | PubMed |
description | The geographical variation of denitrifying bacterial communities and water quality parameters in urban lakes distributed across nine provinces in China were determined. The Illumina sequencing data of the denitrifying encoding gene nirS was examined in the samples collected from nine localities (pairwise geographical distance: 200–2600 km). The results showed that fundamental differences in water quality were observed among different urban lakes. The highest nitrate (2.02 mg L(−1)) and total nitrogen (3.82 mg L(−1)) concentrations were observed in Pingzhuang (P < 0.01). The algal cell concentration ranged from 1.29 × 10(8) to 3.0 × 10(9) cell per L. The sequencing data generated a total of 421058 high quality nirS gene reads that resulted in 6369 OTUs (97% cutoff), with Proteobacteria and Firmicutes being the dominant taxa. A co-occurrence network analysis indicated that the top five genera identified as keystone taxa were Dechlorospirillum sp., Alicycliphilus sp., Dechloromonas sp., Pseudogulbenkiania sp., and Paracoccus sp. A redundancy analysis (RDA) further revealed that distinct denitrifying bacterial communities inhabited the different urban lakes, and influenced by urban lake water ammonia nitrogen, manganese and algal cell concentrations. A variance partitioning analysis (VPA) also showed that geographic location was more important than water quality factors in structuring the denitrifying bacterial communities. Together, these results provide new insight into understanding of denitrifying bacterial communities associated with geographically distributed urban lakes on a larger scale, and these results also expand our exploration of aquatic microbial ecology in freshwater bodies. |
format | Online Article Text |
id | pubmed-9080392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-90803922022-05-09 Geographical patterns of denitrifying bacterial communities associated with different urban lakes Zhang, Haihan Zhao, Zhenfang Chen, Shengnan Wang, Yue Feng, Ji Jia, Jingyu Kang, Pengliang Li, Sulin RSC Adv Chemistry The geographical variation of denitrifying bacterial communities and water quality parameters in urban lakes distributed across nine provinces in China were determined. The Illumina sequencing data of the denitrifying encoding gene nirS was examined in the samples collected from nine localities (pairwise geographical distance: 200–2600 km). The results showed that fundamental differences in water quality were observed among different urban lakes. The highest nitrate (2.02 mg L(−1)) and total nitrogen (3.82 mg L(−1)) concentrations were observed in Pingzhuang (P < 0.01). The algal cell concentration ranged from 1.29 × 10(8) to 3.0 × 10(9) cell per L. The sequencing data generated a total of 421058 high quality nirS gene reads that resulted in 6369 OTUs (97% cutoff), with Proteobacteria and Firmicutes being the dominant taxa. A co-occurrence network analysis indicated that the top five genera identified as keystone taxa were Dechlorospirillum sp., Alicycliphilus sp., Dechloromonas sp., Pseudogulbenkiania sp., and Paracoccus sp. A redundancy analysis (RDA) further revealed that distinct denitrifying bacterial communities inhabited the different urban lakes, and influenced by urban lake water ammonia nitrogen, manganese and algal cell concentrations. A variance partitioning analysis (VPA) also showed that geographic location was more important than water quality factors in structuring the denitrifying bacterial communities. Together, these results provide new insight into understanding of denitrifying bacterial communities associated with geographically distributed urban lakes on a larger scale, and these results also expand our exploration of aquatic microbial ecology in freshwater bodies. The Royal Society of Chemistry 2018-05-09 /pmc/articles/PMC9080392/ /pubmed/35539271 http://dx.doi.org/10.1039/c8ra01295d Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/ |
spellingShingle | Chemistry Zhang, Haihan Zhao, Zhenfang Chen, Shengnan Wang, Yue Feng, Ji Jia, Jingyu Kang, Pengliang Li, Sulin Geographical patterns of denitrifying bacterial communities associated with different urban lakes |
title | Geographical patterns of denitrifying bacterial communities associated with different urban lakes |
title_full | Geographical patterns of denitrifying bacterial communities associated with different urban lakes |
title_fullStr | Geographical patterns of denitrifying bacterial communities associated with different urban lakes |
title_full_unstemmed | Geographical patterns of denitrifying bacterial communities associated with different urban lakes |
title_short | Geographical patterns of denitrifying bacterial communities associated with different urban lakes |
title_sort | geographical patterns of denitrifying bacterial communities associated with different urban lakes |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9080392/ https://www.ncbi.nlm.nih.gov/pubmed/35539271 http://dx.doi.org/10.1039/c8ra01295d |
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