Exploring the effects of operational mode and microbial interactions on bacterial community assembly in a one-stage partial-nitritation anammox reactor using integrated multi-omics

Abstract Background The metabolic capacities of anammox bacteria and associated microbial community interactions in partial-nitritation anammox (PNA) reactors have received considerable attention for their crucial roles in energy-efficient nitrogen removal from wastewater. However, a comprehensive u...

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Main Authors: Yulin Wang, Qigui Niu, Xu Zhang, Lei Liu, Yubo Wang, Yiqiang Chen, Mishty Negi, Daniel Figeys, Yu-You Li, Tong Zhang
Format: Article
Language:English
Published: BMC 2019-08-01
Series:Microbiome
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40168-019-0730-6
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language English
format Article
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author Yulin Wang
Qigui Niu
Xu Zhang
Lei Liu
Yubo Wang
Yiqiang Chen
Mishty Negi
Daniel Figeys
Yu-You Li
Tong Zhang
spellingShingle Yulin Wang
Qigui Niu
Xu Zhang
Lei Liu
Yubo Wang
Yiqiang Chen
Mishty Negi
Daniel Figeys
Yu-You Li
Tong Zhang
Exploring the effects of operational mode and microbial interactions on bacterial community assembly in a one-stage partial-nitritation anammox reactor using integrated multi-omics
Microbiome
One-stage partial-nitritation anammox
Microbial community assembly
Nitrogen cycle
Auxotrophies
Multi-omics
author_facet Yulin Wang
Qigui Niu
Xu Zhang
Lei Liu
Yubo Wang
Yiqiang Chen
Mishty Negi
Daniel Figeys
Yu-You Li
Tong Zhang
author_sort Yulin Wang
title Exploring the effects of operational mode and microbial interactions on bacterial community assembly in a one-stage partial-nitritation anammox reactor using integrated multi-omics
title_short Exploring the effects of operational mode and microbial interactions on bacterial community assembly in a one-stage partial-nitritation anammox reactor using integrated multi-omics
title_full Exploring the effects of operational mode and microbial interactions on bacterial community assembly in a one-stage partial-nitritation anammox reactor using integrated multi-omics
title_fullStr Exploring the effects of operational mode and microbial interactions on bacterial community assembly in a one-stage partial-nitritation anammox reactor using integrated multi-omics
title_full_unstemmed Exploring the effects of operational mode and microbial interactions on bacterial community assembly in a one-stage partial-nitritation anammox reactor using integrated multi-omics
title_sort exploring the effects of operational mode and microbial interactions on bacterial community assembly in a one-stage partial-nitritation anammox reactor using integrated multi-omics
publisher BMC
series Microbiome
issn 2049-2618
publishDate 2019-08-01
description Abstract Background The metabolic capacities of anammox bacteria and associated microbial community interactions in partial-nitritation anammox (PNA) reactors have received considerable attention for their crucial roles in energy-efficient nitrogen removal from wastewater. However, a comprehensive understanding of how abiotic and biotic factors shape bacterial community assembly in PNA reactors is not well reported. Results Here, we used integrated multi-omics (i.e., high-throughput 16S rRNA gene, metagenomic, metatranscriptomic, and metaproteomic sequencing) to reveal how abiotic and biotic factors shape the bacterial community assembly in a lab-scale one-stage PNA reactor treating synthetic wastewater. Analysis results of amplicon sequences (16S rRNA gene) from a time-series revealed distinct relative abundance patterns of the key autotrophic bacteria, i.e., anammox bacteria and ammonia-oxidizing bacteria (AOB), and the associated heterotrophic populations in the seed sludge and the sludge at the new stable state after deterioration. Using shotgun metagenomic sequences of anammox sludge, we recovered 58 metagenome-assembled genomes (MAGs), including 3 MAGs of anammox bacteria and 3 MAGs of AOB. The integrated metagenomic, metatranscriptomic, and metaproteomic data revealed that nitrogen metabolism is the most active process in the studied PNA reactor. The abundant heterotrophs contribute to the reduction of nitrate to nitrite/ammonium for autotrophic bacteria (anammox bacteria and AOB). Genomic and transcriptomic data revealed that the preference for electron donors of the dominant heterotrophs in different bacterial assemblages (seed and new stable state) varied along with the shift in anammox bacteria that have different metabolic features in terms of EPS composition. Notably, the most abundant heterotrophic bacteria in the reactor were more auxotrophic than the less abundant heterotrophs, regarding the syntheses of amino acids and vitamins. In addition, one of the abundant bacteria observed in the bacterial community exhibited highly transcribed secretion systems (type VI). Conclusions These findings provide the first insight that the bacterial communities in the PNA reactor are defined by not only abiotic factors (operating mode) but also metabolic interactions, such as nitrogen metabolism, exchange of electron donors, and auxotrophies.
topic One-stage partial-nitritation anammox
Microbial community assembly
Nitrogen cycle
Auxotrophies
Multi-omics
url http://link.springer.com/article/10.1186/s40168-019-0730-6
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spelling doaj-9dba287d0696483db94baa77c2cf6f652020-11-25T03:54:22ZengBMCMicrobiome2049-26182019-08-017111510.1186/s40168-019-0730-6Exploring the effects of operational mode and microbial interactions on bacterial community assembly in a one-stage partial-nitritation anammox reactor using integrated multi-omicsYulin Wang0Qigui Niu1Xu Zhang2Lei Liu3Yubo Wang4Yiqiang Chen5Mishty Negi6Daniel Figeys7Yu-You Li8Tong Zhang9Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong KongSchool of Environmental Science and Engineering, China–America CRC for Environment & Health, Shandong UniversityOttawa Institute of Systems Biology and Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of OttawaEnvironmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong KongEnvironmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong KongEnvironmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong KongEnvironmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong KongOttawa Institute of Systems Biology and Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of OttawaDepartment of Civil and Environmental Engineering, Graduate School of Engineering, Tohoku UniversityEnvironmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong KongAbstract Background The metabolic capacities of anammox bacteria and associated microbial community interactions in partial-nitritation anammox (PNA) reactors have received considerable attention for their crucial roles in energy-efficient nitrogen removal from wastewater. However, a comprehensive understanding of how abiotic and biotic factors shape bacterial community assembly in PNA reactors is not well reported. Results Here, we used integrated multi-omics (i.e., high-throughput 16S rRNA gene, metagenomic, metatranscriptomic, and metaproteomic sequencing) to reveal how abiotic and biotic factors shape the bacterial community assembly in a lab-scale one-stage PNA reactor treating synthetic wastewater. Analysis results of amplicon sequences (16S rRNA gene) from a time-series revealed distinct relative abundance patterns of the key autotrophic bacteria, i.e., anammox bacteria and ammonia-oxidizing bacteria (AOB), and the associated heterotrophic populations in the seed sludge and the sludge at the new stable state after deterioration. Using shotgun metagenomic sequences of anammox sludge, we recovered 58 metagenome-assembled genomes (MAGs), including 3 MAGs of anammox bacteria and 3 MAGs of AOB. The integrated metagenomic, metatranscriptomic, and metaproteomic data revealed that nitrogen metabolism is the most active process in the studied PNA reactor. The abundant heterotrophs contribute to the reduction of nitrate to nitrite/ammonium for autotrophic bacteria (anammox bacteria and AOB). Genomic and transcriptomic data revealed that the preference for electron donors of the dominant heterotrophs in different bacterial assemblages (seed and new stable state) varied along with the shift in anammox bacteria that have different metabolic features in terms of EPS composition. Notably, the most abundant heterotrophic bacteria in the reactor were more auxotrophic than the less abundant heterotrophs, regarding the syntheses of amino acids and vitamins. In addition, one of the abundant bacteria observed in the bacterial community exhibited highly transcribed secretion systems (type VI). Conclusions These findings provide the first insight that the bacterial communities in the PNA reactor are defined by not only abiotic factors (operating mode) but also metabolic interactions, such as nitrogen metabolism, exchange of electron donors, and auxotrophies.http://link.springer.com/article/10.1186/s40168-019-0730-6One-stage partial-nitritation anammoxMicrobial community assemblyNitrogen cycleAuxotrophiesMulti-omics