Literature DB >> 30045585

The divergence between fungal and bacterial communities in seasonal and spatial variations of wastewater treatment plants.

Ziyan Wei1, Yangying Liu1, Kai Feng1, Shuzhen Li2, Shang Wang1, Decai Jin1, Yu Zhang3, Hongrui Chen3, Huaqun Yin4, Meiying Xu5, Ye Deng6.   

Abstract

In this study, quantitative PCR (qPCR) and high-throughput sequencing were used to simultaneously examine both bacteria and fungi across temporal and spatial scales in activated sludge from wastewater treatment plants (WWTPs). The ratio of fungi to bacteria was 0.43% on average after accounting for the multicopies in 16S rRNA gene (54.63%), indicating the number of fungi was far lower than bacteria in active sludge. The Miseq sequencing results revealed obvious seasonal and spatial variations in bacterial and fungal distribution patterns in WWTPs. Compared to bacteria, fungi showed a lower divergence in alpha and beta diversity, and exhibited less taxonomic diversity in both abundant and rare subcommunities at the class level, suggesting that the fungal community was less variable in this artificial ecosystem. Such variation of microbial communities was significantly correlated with geographical distance, DO, temperature, HRT, SRT, COD, TN and TP. In activated sludge, the main function of bacteria was chemoheterotrophy, fermentation, and nitrogen cycling processes, while the dominant functional guilds of fungi were saprotroph, animal pathogen, and animal endosymbiont. Moreover, both bacteria and fungi could play important roles in the degradation of toxicants, like hydrocarbon and aromatic compounds.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  16S rRNA gene; Abundance; Distribution patterns; Function; ITS

Mesh:

Substances:

Year:  2018        PMID: 30045585     DOI: 10.1016/j.scitotenv.2018.02.003

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  13 in total

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10.  Seasonal dynamics of lotic bacterial communities assessed by 16S rRNA gene amplicon deep sequencing.

Authors:  Lisa Paruch; Adam M Paruch; Hans Geir Eiken; Monica Skogen; Roald Sørheim
Journal:  Sci Rep       Date:  2020-10-02       Impact factor: 4.379

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