Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Haihan, Zhao, Zhenfang, Chen, Shengnan, Wang, Yue, Feng, Ji, Jia, Jingyu, Kang, Pengliang, Li, Sulin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2018
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
_version_ 1784702775619223552
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
work_keys_str_mv AT zhanghaihan geographicalpatternsofdenitrifyingbacterialcommunitiesassociatedwithdifferenturbanlakes
AT zhaozhenfang geographicalpatternsofdenitrifyingbacterialcommunitiesassociatedwithdifferenturbanlakes
AT chenshengnan geographicalpatternsofdenitrifyingbacterialcommunitiesassociatedwithdifferenturbanlakes
AT wangyue geographicalpatternsofdenitrifyingbacterialcommunitiesassociatedwithdifferenturbanlakes
AT fengji geographicalpatternsofdenitrifyingbacterialcommunitiesassociatedwithdifferenturbanlakes
AT jiajingyu geographicalpatternsofdenitrifyingbacterialcommunitiesassociatedwithdifferenturbanlakes
AT kangpengliang geographicalpatternsofdenitrifyingbacterialcommunitiesassociatedwithdifferenturbanlakes
AT lisulin geographicalpatternsofdenitrifyingbacterialcommunitiesassociatedwithdifferenturbanlakes