Impact of long-term industrial contamination on the bacterial communities in urban river sediments [post]

lei zhang, Demei Tu, Xingchen Li, Wenxuan Lu, Jing Li
2020 unpublished
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
more » ... ndustrial 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: Although these sediment samples have a similar characteristic profile of high bacterial rank, their relative abundance was different, and there were significant differences among different locations. 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. Among them, Denitratisoma, Anaeromyxobacter, and Candidatus Microthrix in the co-occurrence network were identified as keystone genera. The microbial taxa in the same module had closer ecological connections and involved carbon and nitrogen cycles as well as 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.
doi:10.21203/ fatcat:gws6b7ffx5hyvgc7y2z4iycchu