Influence of the amoxicillin concentration on organics removal and microbial community structure in an anaerobic EGSB reactor treating with antibiotic wastewater

Meng, Lingwei; Li, Xiangkun; Wang, Ke; Ma, Kaili; Zhang, Jie

doi:10.1016/j.cej.2015.03.065

Cited by 81 publications

(12 citation statements)

References 53 publications

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“…The change indicated that these phyla probably had a stronger tolerance for ASWs. Bacteroidetes are heterotrophic microorganisms and the abundance of the phylum can increase with organic contaminants such amoxicillin 43 . The phylum Chloroflexi constitutes a specialized group of filamentous bacteria only active under aerobic conditions consuming primarily carbohydrates 44 .…”

Section: Resultsmentioning

confidence: 99%

Removal of artificial sweeteners and their effects on microbial communities in sequencing batch reactors

Geng

et al. 2018

Sci Rep

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Concern is growing over contamination of the environment with artificial sweeteners (ASWs) because of their widespread existence in wastewater treatment plants (WWTPs). To evaluate ASWs removal and the effect on activated sludge, acesulfame (ACE), sucralose (SUC), cyclamate (CYC) and saccharin (SAC) were introduced individually or in mixture to sequencing batch reactors (SBRs) in environmentally relevant concentrations (100 ppb) for 100 days. Comparisons between ACE removal in a full-scale WWTP and in lab-scale SBRs were conducted. Results showed that CYC and SAC were completely removed, whereas SUC was persistent. However, ACE removal in lab-scale SBRs was significantly greater than in the full-scale WWTP. In SBRs, chemical oxygen demand (COD), ammonia nitrogen (NH4+-N) and total nitrogen (TN) removal appeared unchanged after adding ASWs (p > 0.05). Adenosine triphosphate (ATP) concentrations and triphenyl tetrazolium chloride-dehydrogenase activity (TTC-DHA) declined significantly (p < 0.05). The mixed ASWs had more evident effects than the individual ASWs. Microbial community analyses revealed that Proteobacteria decreased obviously, while Bacteroidetes, Chloroflexi and Actinobacteria were enriched with the addition of ASWs. Redundancy Analysis (RDA) indicated ACE had a greater impact on activated sludge than the other ASWs.

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Section: Resultsmentioning

confidence: 99%

Removal of artificial sweeteners and their effects on microbial communities in sequencing batch reactors

Geng

et al. 2018

Sci Rep

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“…Common techniques included DGGE/TGGE/TTGE [14], T-RFLP [15], SSCP, FISH, mark hybridization, quantitative PCR [16], 454 high-throughput sequencing and the gene chip molecular biology method. The traditional plate culture method [17] is limited to a few cultural microorganisms (approximately 0.1%-1%) in the environment, but DGGE can reflect the dominant bacteria population based on the appearing bands.…”

Section: Introductionmentioning

confidence: 99%

Microbial community distribution and dominant bacterial species analysis in the bio-electrochemical system treating low concentration cefuroxime

Cheng

Sun

2016

Chemical Engineering Journal

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“…Ignavibacteriae is a sister phylum to Bacteroidetes and Chlorobi, both known from gut microbiomes ( Podosokorskaya et al, 2013 ). The phylum has been sequenced from wastewater, indicating that it can survive in organic waste ( Meng et al, 2015 ). Armatimonadetes is primarily a soil phylum, but also participates in plant rhizobial communities ( Tanaka et al, 2012 ), and has been found in mosquito salivary glands ( Sharma et al, 2014 ) and decomposing swine manure ( Tuan et al, 2014 ).…”

Section: Discussionmentioning

confidence: 99%

Natural history bycatch: a pipeline for identifying metagenomic sequences in RADseq data

Holmes

Rabosky

2018

PeerJ

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BackgroundReduced representation genomic datasets are increasingly becoming available from a variety of organisms. These datasets do not target specific genes, and so may contain sequences from parasites and other organisms present in the target tissue sample. In this paper, we demonstrate that (1) RADseq datasets can be used for exploratory analysis of tissue-specific metagenomes, and (2) tissue collections house complete metagenomic communities, which can be investigated and quantified by a variety of techniques.MethodsWe present an exploratory method for mining metagenomic “bycatch” sequences from a range of host tissue types. We use a combination of the pyRAD assembly pipeline, NCBI’s blastn software, and custom R scripts to isolate metagenomic sequences from RADseq type datasets.ResultsWhen we focus on sequences that align with existing references in NCBI’s GenBank, we find that between three and five percent of identifiable double-digest restriction site associated DNA (ddRAD) sequences from host tissue samples are from phyla to contain known blood parasites. In addition to tissue samples, we examine ddRAD sequences from metagenomic DNA extracted snake and lizard hind-gut samples. We find that the sequences recovered from these samples match with expected bacterial and eukaryotic gut microbiome phyla.DiscussionOur results suggest that (1) museum tissue banks originally collected for host DNA archiving are also preserving valuable parasite and microbiome communities, (2) that publicly available RADseq datasets may include metagenomic sequences that could be explored, and (3) that restriction site approaches are a useful exploratory technique to identify microbiome lineages that could be missed by primer-based approaches.

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Influence of the amoxicillin concentration on organics removal and microbial community structure in an anaerobic EGSB reactor treating with antibiotic wastewater

Cited by 81 publications

References 53 publications

Removal of artificial sweeteners and their effects on microbial communities in sequencing batch reactors

Removal of artificial sweeteners and their effects on microbial communities in sequencing batch reactors

Microbial community distribution and dominant bacterial species analysis in the bio-electrochemical system treating low concentration cefuroxime

Natural history bycatch: a pipeline for identifying metagenomic sequences in RADseq data

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