Literature DB >> 24552172

The functional and taxonomic richness of wastewater treatment plant microbial communities are associated with each other and with ambient nitrogen and carbon availability.

David R Johnson1,2, Tae Kwon Lee3, Joonhong Park3, Kathrin Fenner1,4, Damian E Helbling2,5.   

Abstract

The number of functional traits of a wastewater treatment plant (WWTP) microbial community (i.e. functional richness) is thought to be an important determinant of its overall functional performance, but the ecological factors that determine functional richness remain unclear. The number of taxa within a community (i.e. taxonomic richness) is one ecological factor that might be important. Communities that contain more taxa are more likely to have more functional traits, and a positive association is therefore expected between functional and taxonomic richness. Empirical tests for this positive association among WWTP communities, however, are lacking. We address this knowledge gap by measuring the functional and taxonomic richness of 10 independent WWTP communities. We demonstrate that functional and taxonomic richness are positively associated with each other. We further demonstrate that functional and taxonomic richness are negatively associated with the effluent NH4 -N and BOD5 concentrations. This led us to hypothesize that correlated variation in functional and taxonomic richness is likely related to variation in ambient nitrogen and carbon availability. We finally demonstrate that this hypothesis is consistent with the functional and taxonomic attributes of the WWTP communities. Together, our results improve our basic understanding of the ecology and functioning of WWTP communities.
© 2014 Society for Applied Microbiology and John Wiley & Sons Ltd.

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Year:  2014        PMID: 24552172     DOI: 10.1111/1462-2920.12429

Source DB:  PubMed          Journal:  Environ Microbiol        ISSN: 1462-2912            Impact factor:   5.491


  18 in total

1.  Changes in Microbial Composition of Wastewater During Treatment in a Full-Scale Plant.

Authors:  Marija Kaevska; Petra Videnska; Petra Vasickova
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2.  Microbial community modeling using reliability theory.

Authors:  Julie L Zilles; Luis F Rodríguez; Nicholas A Bartolerio; Angela D Kent
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3.  Association of biodiversity with the rates of micropollutant biotransformations among full-scale wastewater treatment plant communities.

Authors:  David R Johnson; Damian E Helbling; Tae Kwon Lee; Joonhong Park; Kathrin Fenner; Hans-Peter E Kohler; Martin Ackermann
Journal:  Appl Environ Microbiol       Date:  2014-11-14       Impact factor: 4.792

Review 4.  Microbial invasions in sludge anaerobic digesters.

Authors:  Nuria Fernandez-Gonzalez; G H R Braz; L Regueiro; J M Lema; M Carballa
Journal:  Appl Microbiol Biotechnol       Date:  2020-11-18       Impact factor: 4.813

5.  Understanding the Linkage between Elevation and the Activated-Sludge Bacterial Community along a 3,600-Meter Elevation Gradient in China.

Authors:  Lihua Niu; Yi Li; Peifang Wang; Wenlong Zhang; Chao Wang; Qing Wang
Journal:  Appl Environ Microbiol       Date:  2015-07-10       Impact factor: 4.792

6.  Shotgun Metagenomic Profiles Have a High Capacity To Discriminate Samples of Activated Sludge According to Wastewater Type.

Authors:  Federico M Ibarbalz; Esteban Orellana; Eva L M Figuerola; Leonardo Erijman
Journal:  Appl Environ Microbiol       Date:  2016-08-15       Impact factor: 4.792

7.  Can meta-omics help to establish causality between contaminant biotransformations and genes or gene products?

Authors:  David R Johnson; Damian E Helbling; Yujie Men; Kathrin Fenner
Journal:  Environ Sci (Camb)       Date:  2015-03-25       Impact factor: 4.251

8.  Metagenomic Analysis of Chicken Gut Microbiota for Improving Metabolism and Health of Chickens - A Review.

Authors:  Ki Young Choi; Tae Kwon Lee; Woo Jun Sul
Journal:  Asian-Australas J Anim Sci       Date:  2015-09       Impact factor: 2.509

9.  Tracing the limits of organic micropollutant removal in biological wastewater treatment.

Authors:  Per Falås; Arne Wick; Sandro Castronovo; Jonathan Habermacher; Thomas A Ternes; Adriano Joss
Journal:  Water Res       Date:  2016-03-04       Impact factor: 11.236

10.  Seasonal bacterial community succession in four typical wastewater treatment plants: correlations between core microbes and process performance.

Authors:  Bo Zhang; Quanwei Yu; Guoqi Yan; Hubo Zhu; Xiang Yang Xu; Liang Zhu
Journal:  Sci Rep       Date:  2018-03-15       Impact factor: 4.379

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