Cargando…
Impact of long-term industrial contamination on the bacterial communities in urban river sediments
BACKGROUND: The contamination of the aquatic environment of urban rivers with industrial wastewater has affected the abiotic conditions and biological activities of the trophic levels of the ecosystem, particularly sediments. However, most current research about microorganism in urban aquatic enviro...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427966/ https://www.ncbi.nlm.nih.gov/pubmed/32795344 http://dx.doi.org/10.1186/s12866-020-01937-x |
_version_ | 1783570985383886848 |
---|---|
author | Zhang, Lei Tu, Demei Li, Xingchen Lu, Wenxuan Li, Jing |
author_facet | Zhang, Lei Tu, Demei Li, Xingchen Lu, Wenxuan Li, Jing |
author_sort | Zhang, Lei |
collection | PubMed |
description | BACKGROUND: The contamination of the aquatic environment of urban rivers with industrial wastewater has affected the abiotic conditions and biological activities of the trophic levels of the ecosystem, particularly sediments. However, most current research about microorganism in urban aquatic environments has focused on indicator bacteria related to feces and organic pollution. Meanwhile, they ignored the interactions among microorganisms. To deeply understand the impact of industrial contamination on microbial community, we study the bacterial community structure and diversity in river sediments under the influence of different types of industrial pollution by Illumina MiSeq high-throughput sequencing technology and conduct a more detailed analysis of microbial community structure through co-occurrence networks. RESULTS: The overall community composition and abundance of individual bacterial groups differed between samples. In addition, redundancy analysis indicated that the structure of the bacterial community in river sediments was influenced by a variety of environmental factors. TN, TP, TOC and metals (Cu, Zn and Cd) were the most important driving factors that determined the bacterial community in urban river sediments (P < 0.01). According to PICRUSt analysis, the bacterial communities in different locations had similar overall functional profiles. It is worth noting that the 15 functional genes related to xenobiotics biodegradation and metabolism were the most abundant in the same location. The non-random assembly patterns of bacterial composition in different types of industrially polluted sediments were determined by a co-occurrence network. Environmental conditions resulting from different industrial pollutants may play an important role in determining their co-occurrence patterns of these bacterial taxa. Among them, the bacterial taxa involved in carbon and nitrogen cycles in module I were relatively abundant, and the bacterial taxa in module II were involved in the repair of metal pollution. CONCLUSIONS: Our data indicate that long-term potential interactions between different types of industrial pollution and taxa collectively affect the structure of the bacterial community in urban river sediments. |
format | Online Article Text |
id | pubmed-7427966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74279662020-08-17 Impact of long-term industrial contamination on the bacterial communities in urban river sediments Zhang, Lei Tu, Demei Li, Xingchen Lu, Wenxuan Li, Jing BMC Microbiol Research Article BACKGROUND: The contamination of the aquatic environment of urban rivers with industrial wastewater has affected the abiotic conditions and biological activities of the trophic levels of the ecosystem, particularly sediments. However, most current research about microorganism in urban aquatic environments has focused on indicator bacteria related to feces and organic pollution. Meanwhile, they ignored the interactions among microorganisms. To deeply understand the impact of industrial contamination on microbial community, we study the bacterial community structure and diversity in river sediments under the influence of different types of industrial pollution by Illumina MiSeq high-throughput sequencing technology and conduct a more detailed analysis of microbial community structure through co-occurrence networks. RESULTS: The overall community composition and abundance of individual bacterial groups differed between samples. In addition, redundancy analysis indicated that the structure of the bacterial community in river sediments was influenced by a variety of environmental factors. TN, TP, TOC and metals (Cu, Zn and Cd) were the most important driving factors that determined the bacterial community in urban river sediments (P < 0.01). According to PICRUSt analysis, the bacterial communities in different locations had similar overall functional profiles. It is worth noting that the 15 functional genes related to xenobiotics biodegradation and metabolism were the most abundant in the same location. The non-random assembly patterns of bacterial composition in different types of industrially polluted sediments were determined by a co-occurrence network. Environmental conditions resulting from different industrial pollutants may play an important role in determining their co-occurrence patterns of these bacterial taxa. Among them, the bacterial taxa involved in carbon and nitrogen cycles in module I were relatively abundant, and the bacterial taxa in module II were involved in the repair of metal pollution. CONCLUSIONS: Our data indicate that long-term potential interactions between different types of industrial pollution and taxa collectively affect the structure of the bacterial community in urban river sediments. BioMed Central 2020-08-14 /pmc/articles/PMC7427966/ /pubmed/32795344 http://dx.doi.org/10.1186/s12866-020-01937-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Zhang, Lei Tu, Demei Li, Xingchen Lu, Wenxuan Li, Jing Impact of long-term industrial contamination on the bacterial communities in urban river sediments |
title | Impact of long-term industrial contamination on the bacterial communities in urban river sediments |
title_full | Impact of long-term industrial contamination on the bacterial communities in urban river sediments |
title_fullStr | Impact of long-term industrial contamination on the bacterial communities in urban river sediments |
title_full_unstemmed | Impact of long-term industrial contamination on the bacterial communities in urban river sediments |
title_short | Impact of long-term industrial contamination on the bacterial communities in urban river sediments |
title_sort | impact of long-term industrial contamination on the bacterial communities in urban river sediments |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427966/ https://www.ncbi.nlm.nih.gov/pubmed/32795344 http://dx.doi.org/10.1186/s12866-020-01937-x |
work_keys_str_mv | AT zhanglei impactoflongtermindustrialcontaminationonthebacterialcommunitiesinurbanriversediments AT tudemei impactoflongtermindustrialcontaminationonthebacterialcommunitiesinurbanriversediments AT lixingchen impactoflongtermindustrialcontaminationonthebacterialcommunitiesinurbanriversediments AT luwenxuan impactoflongtermindustrialcontaminationonthebacterialcommunitiesinurbanriversediments AT lijing impactoflongtermindustrialcontaminationonthebacterialcommunitiesinurbanriversediments |