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Microbial community structure and function in sediments from e-waste contaminated rivers at Guiyu area of China

Liu, Jun; Chen, Xi; Shu, Hao yue; Lin, Xue rui; Zhou, Qi xing; Bramryd, Torleif LU ; Shu, Wen sheng and Huang, Li nan (2018) In Environmental Pollution 235. p.171-179
Abstract

The release of toxic organic pollutants and heavy metals by primitive electronic waste (e-waste) processing to waterways has raised significant concerns, but little is known about their potential ecological effects on aquatic biota especially microorganisms. We characterized the microbial community composition and diversity in sediments sampled along two rivers consistently polluted by e-waste, and explored how community functions may respond to the complex combined pollution. High-throughput 16S rRNA gene sequencing showed that Proteobacteria (particularly Deltaproteobacteria) dominated the sediment microbial assemblages followed by Bacteroidetes, Acidobacteria, Chloroflexi and Firmicutes. PICRUSt metagenome inference provided an... (More)

The release of toxic organic pollutants and heavy metals by primitive electronic waste (e-waste) processing to waterways has raised significant concerns, but little is known about their potential ecological effects on aquatic biota especially microorganisms. We characterized the microbial community composition and diversity in sediments sampled along two rivers consistently polluted by e-waste, and explored how community functions may respond to the complex combined pollution. High-throughput 16S rRNA gene sequencing showed that Proteobacteria (particularly Deltaproteobacteria) dominated the sediment microbial assemblages followed by Bacteroidetes, Acidobacteria, Chloroflexi and Firmicutes. PICRUSt metagenome inference provided an initial insight into the metabolic potentials of these e-waste affected communities, speculating that organic pollutants degradation in the sediment might be mainly performed by some of the dominant genera (such as Sulfuricurvum, Thiobacillus and Burkholderia) detected in situ. Statistical analyses revealed that toxic organic compounds contributed more to the observed variations in sediment microbial community structure and predicted functions (24.68% and 8.89%, respectively) than heavy metals (12.18% and 4.68%), and Benzo(a)pyrene, bioavailable lead and electrical conductivity were the key contributors. These results have shed light on the microbial assemblages in e-waste contaminated river sediments, indicating a potential influence of e-waste pollution on the microbial community structure and function in aquatic ecosystems.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
E-waste, Heavy metals, Microbial community structure and function, River sediment, Toxic organic pollutants
in
Environmental Pollution
volume
235
pages
9 pages
publisher
Elsevier
external identifiers
  • scopus:85039422332
ISSN
0269-7491
DOI
10.1016/j.envpol.2017.12.008
language
English
LU publication?
yes
id
7515a18a-1940-4949-8c40-60520fa3f235
date added to LUP
2018-01-05 10:06:15
date last changed
2018-01-06 03:00:02
@article{7515a18a-1940-4949-8c40-60520fa3f235,
  abstract     = {<p>The release of toxic organic pollutants and heavy metals by primitive electronic waste (e-waste) processing to waterways has raised significant concerns, but little is known about their potential ecological effects on aquatic biota especially microorganisms. We characterized the microbial community composition and diversity in sediments sampled along two rivers consistently polluted by e-waste, and explored how community functions may respond to the complex combined pollution. High-throughput 16S rRNA gene sequencing showed that Proteobacteria (particularly Deltaproteobacteria) dominated the sediment microbial assemblages followed by Bacteroidetes, Acidobacteria, Chloroflexi and Firmicutes. PICRUSt metagenome inference provided an initial insight into the metabolic potentials of these e-waste affected communities, speculating that organic pollutants degradation in the sediment might be mainly performed by some of the dominant genera (such as Sulfuricurvum, Thiobacillus and Burkholderia) detected in situ. Statistical analyses revealed that toxic organic compounds contributed more to the observed variations in sediment microbial community structure and predicted functions (24.68% and 8.89%, respectively) than heavy metals (12.18% and 4.68%), and Benzo(a)pyrene, bioavailable lead and electrical conductivity were the key contributors. These results have shed light on the microbial assemblages in e-waste contaminated river sediments, indicating a potential influence of e-waste pollution on the microbial community structure and function in aquatic ecosystems.</p>},
  author       = {Liu, Jun and Chen, Xi and Shu, Hao yue and Lin, Xue rui and Zhou, Qi xing and Bramryd, Torleif and Shu, Wen sheng and Huang, Li nan},
  issn         = {0269-7491},
  keyword      = {E-waste,Heavy metals,Microbial community structure and function,River sediment,Toxic organic pollutants},
  language     = {eng},
  month        = {04},
  pages        = {171--179},
  publisher    = {Elsevier},
  series       = {Environmental Pollution},
  title        = {Microbial community structure and function in sediments from e-waste contaminated rivers at Guiyu area of China},
  url          = {http://dx.doi.org/10.1016/j.envpol.2017.12.008},
  volume       = {235},
  year         = {2018},
}