System Performance Corresponding to Bacterial Community Succession after a Disturbance in an Autotrophic Nitrogen Removal Bioreactor

ABSTRACT Performance of a bioreactor is affected by complex microbial consortia that regulate system functional processes. Studies so far, however, have mainly emphasized the selective pressures imposed by operational conditions (i.e., deterministic external physicochemical variables) on the microbi...

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Autores principales:	Hsiao-Pei Lu, Yung-Hsien Shao, Jer-Horng Wu, Chih-hao Hsieh
Formato:	article
Lenguaje:	EN
Publicado:	American Society for Microbiology 2020
Materias:	community dynamics disturbance nitrogen removal succession time series wastewater treatment Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/6e987acb79ce4f2e8290fbcda340c611
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spelling	oai:doaj.org-article:6e987acb79ce4f2e8290fbcda340c6112021-12-02T19:46:20ZSystem Performance Corresponding to Bacterial Community Succession after a Disturbance in an Autotrophic Nitrogen Removal Bioreactor10.1128/mSystems.00398-202379-5077https://doaj.org/article/6e987acb79ce4f2e8290fbcda340c6112020-08-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00398-20https://doaj.org/toc/2379-5077ABSTRACT Performance of a bioreactor is affected by complex microbial consortia that regulate system functional processes. Studies so far, however, have mainly emphasized the selective pressures imposed by operational conditions (i.e., deterministic external physicochemical variables) on the microbial community as well as system performance, but have overlooked direct effects of the microbial community on system functioning. Here, using a bioreactor with ammonium as the sole substrate under controlled operational settings as a model system, we investigated succession of the bacterial community after a disturbance and its impact on nitrification and anammox (anaerobic ammonium oxidation) processes with fine-resolution time series data. System performance was quantified as the ratio of the fed ammonium converted to anammox-derived nitrogen gas (N2) versus nitrification-derived nitrate (npNO3−). After the disturbance, the N2/npNO3− ratio first decreased, then recovered, and finally stabilized until the end. Importantly, the dynamics of N2/npNO3− could not be fully explained by physicochemical variables of the system. In comparison, the proportion of variation that could be explained substantially increased (tripled) when the changes in bacterial composition were taken into account. Specifically, distinct bacterial taxa tended to dominate at different successional stages, and their relative abundances could explain up to 46% of the variation in nitrogen removal efficiency. These findings add baseline knowledge of microbial succession and emphasize the importance of monitoring the dynamics of microbial consortia for understanding the variability of system performance. IMPORTANCE Dynamics of microbial communities are believed to be associated with system functional processes in bioreactors. However, few studies have provided quantitative evidence. The difficulty of evaluating direct microbe-system relationships arises from the fact that system performance is affected by convolved effects of microbiota and bioreactor operational parameters (i.e., deterministic external physicochemical forcing). Here, using fine-resolution time series data (daily sampling for 2 months) under controlled operational settings, we performed an in-depth analysis of system performance as a function of the microbial community in the context of bioreactor physicochemical conditions. We obtained statistically evaluated results supporting the idea that monitoring microbial community dynamics could improve the ability to predict system functioning, beyond what could be explained by operational physicochemical variables. Moreover, our results suggested that considering the succession of multiple bacterial taxa would account for more system variation than focusing on any particular taxon, highlighting the need to integrate microbial community ecology for understanding system functioning.Hsiao-Pei LuYung-Hsien ShaoJer-Horng WuChih-hao HsiehAmerican Society for Microbiologyarticlecommunity dynamicsdisturbancenitrogen removalsuccessiontime serieswastewater treatmentMicrobiologyQR1-502ENmSystems, Vol 5, Iss 4 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	community dynamics disturbance nitrogen removal succession time series wastewater treatment Microbiology QR1-502
spellingShingle	community dynamics disturbance nitrogen removal succession time series wastewater treatment Microbiology QR1-502 Hsiao-Pei Lu Yung-Hsien Shao Jer-Horng Wu Chih-hao Hsieh System Performance Corresponding to Bacterial Community Succession after a Disturbance in an Autotrophic Nitrogen Removal Bioreactor
description	ABSTRACT Performance of a bioreactor is affected by complex microbial consortia that regulate system functional processes. Studies so far, however, have mainly emphasized the selective pressures imposed by operational conditions (i.e., deterministic external physicochemical variables) on the microbial community as well as system performance, but have overlooked direct effects of the microbial community on system functioning. Here, using a bioreactor with ammonium as the sole substrate under controlled operational settings as a model system, we investigated succession of the bacterial community after a disturbance and its impact on nitrification and anammox (anaerobic ammonium oxidation) processes with fine-resolution time series data. System performance was quantified as the ratio of the fed ammonium converted to anammox-derived nitrogen gas (N2) versus nitrification-derived nitrate (npNO3−). After the disturbance, the N2/npNO3− ratio first decreased, then recovered, and finally stabilized until the end. Importantly, the dynamics of N2/npNO3− could not be fully explained by physicochemical variables of the system. In comparison, the proportion of variation that could be explained substantially increased (tripled) when the changes in bacterial composition were taken into account. Specifically, distinct bacterial taxa tended to dominate at different successional stages, and their relative abundances could explain up to 46% of the variation in nitrogen removal efficiency. These findings add baseline knowledge of microbial succession and emphasize the importance of monitoring the dynamics of microbial consortia for understanding the variability of system performance. IMPORTANCE Dynamics of microbial communities are believed to be associated with system functional processes in bioreactors. However, few studies have provided quantitative evidence. The difficulty of evaluating direct microbe-system relationships arises from the fact that system performance is affected by convolved effects of microbiota and bioreactor operational parameters (i.e., deterministic external physicochemical forcing). Here, using fine-resolution time series data (daily sampling for 2 months) under controlled operational settings, we performed an in-depth analysis of system performance as a function of the microbial community in the context of bioreactor physicochemical conditions. We obtained statistically evaluated results supporting the idea that monitoring microbial community dynamics could improve the ability to predict system functioning, beyond what could be explained by operational physicochemical variables. Moreover, our results suggested that considering the succession of multiple bacterial taxa would account for more system variation than focusing on any particular taxon, highlighting the need to integrate microbial community ecology for understanding system functioning.
format	article
author	Hsiao-Pei Lu Yung-Hsien Shao Jer-Horng Wu Chih-hao Hsieh
author_facet	Hsiao-Pei Lu Yung-Hsien Shao Jer-Horng Wu Chih-hao Hsieh
author_sort	Hsiao-Pei Lu
title	System Performance Corresponding to Bacterial Community Succession after a Disturbance in an Autotrophic Nitrogen Removal Bioreactor
title_short	System Performance Corresponding to Bacterial Community Succession after a Disturbance in an Autotrophic Nitrogen Removal Bioreactor
title_full	System Performance Corresponding to Bacterial Community Succession after a Disturbance in an Autotrophic Nitrogen Removal Bioreactor
title_fullStr	System Performance Corresponding to Bacterial Community Succession after a Disturbance in an Autotrophic Nitrogen Removal Bioreactor
title_full_unstemmed	System Performance Corresponding to Bacterial Community Succession after a Disturbance in an Autotrophic Nitrogen Removal Bioreactor
title_sort	system performance corresponding to bacterial community succession after a disturbance in an autotrophic nitrogen removal bioreactor
publisher	American Society for Microbiology
publishDate	2020
url	https://doaj.org/article/6e987acb79ce4f2e8290fbcda340c611
work_keys_str_mv	AT hsiaopeilu systemperformancecorrespondingtobacterialcommunitysuccessionafteradisturbanceinanautotrophicnitrogenremovalbioreactor AT yunghsienshao systemperformancecorrespondingtobacterialcommunitysuccessionafteradisturbanceinanautotrophicnitrogenremovalbioreactor AT jerhorngwu systemperformancecorrespondingtobacterialcommunitysuccessionafteradisturbanceinanautotrophicnitrogenremovalbioreactor AT chihhaohsieh systemperformancecorrespondingtobacterialcommunitysuccessionafteradisturbanceinanautotrophicnitrogenremovalbioreactor
_version_	1718375966873485312

System Performance Corresponding to Bacterial Community Succession after a Disturbance in an Autotrophic Nitrogen Removal Bioreactor

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