Evidence map›Paper›PMID 25398862›Full record

ArticleApplied and environmental microbiology2015

Association of biodiversity with the rates of micropollutant biotransformations among full-scale wastewater treatment plant communities.

David R Johnson, Damian E Helbling, Tae Kwon Lee, Joonhong Park, Kathrin Fenner, Hans-Peter E Kohler, Martin Ackermann

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Diversity of lake bacteria promotes human echovirus inactivation.Applied and environmental microbiology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

David R JohnsonDepartment of Environmental Systems Science, ETH Zürich, Zürich, Switzerland Department of Environmental Microbiology, Eawag, Dübendorf, Switzerland david.johnson@eawag.ch.
Damian E HelblingDepartment of Environmental Microbiology, Eawag, Dübendorf, Switzerland School of Civil and Environmental Engineering, Cornell University, Ithaca, New York, USA.
Tae Kwon LeeSchool of Civil and Environmental Engineering, Yonsei University, Seoul, South Korea.
Joonhong ParkSchool of Civil and Environmental Engineering, Yonsei University, Seoul, South Korea.
Kathrin FennerDepartment of Environmental Systems Science, ETH Zürich, Zürich, Switzerland Department of Environmental Chemistry, Eawag, Dübendorf, Switzerland.
Hans-Peter E KohlerDepartment of Environmental Microbiology, Eawag, Dübendorf, Switzerland.
Martin AckermannDepartment of Environmental Systems Science, ETH Zürich, Zürich, Switzerland Department of Environmental Microbiology, Eawag, Dübendorf, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biodiversities can differ substantially among different wastewater treatment plant (WWTP) communities. Whether differences in biodiversity translate into differences in the provision of particular ecosystem services, however, is under active debate. Theoretical considerations predict that WWTP communities with more biodiversity are more likely to contain strains that have positive effects on the rates of particular ecosystem functions, thus resulting in positive associations between those two variables. However, if WWTP communities were sufficiently biodiverse to nearly saturate the set of possible positive effects, then positive associations would not occur between biodiversity and the rates of particular ecosystem functions. To test these expectations, we measured the taxonomic biodiversity, functional biodiversity, and rates of 10 different micropollutant biotransformations for 10 full-scale WWTP communities. We have demonstrated that biodiversity is positively associated with the rates of specific, but not all, micropollutant biotransformations. Thus, one cannot assume whether or how biodiversity will associate with the rate of any particular micropollutant biotransformation. We have further demonstrated that the strongest positive association is between biodiversity and the collective rate of multiple micropollutant biotransformations. Thus, more biodiversity is likely required to maximize the collective rates of multiple micropollutant biotransformations than is required to maximize the rate of any individual micropollutant biotransformation. We finally provide evidence that the positive associations are stronger for rare micropollutant biotransformations than for common micropollutant biotransformations. Together, our results are consistent with the hypothesis that differences in biodiversity can indeed translate into differences in the provision of particular ecosystem services by full-scale WWTP communities.

Indexed as

BiodiversityBacteriaBiotransformationDNA, BacterialMolecular Sequence DataSequence Analysis, DNAWastewaterWater PollutantsWater PurificationDNA, BacterialWastewaterWater Pollutants

Identifiers

PMID25398862
PMCPMC4277575

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.