Evidence map›Paper›PMID 42012161›Full record

ArticleMicrobiology spectrum2026

Environmental effects on constructed wetland microbial diversity and function in the context of wastewater management.

Sandrine Grandmond-Lemire, Bob Gearheart, Catalina Cuellar-Gempeler

Abstract read
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Sandrine Grandmond-LemireChilkat Indian Village, Haines, Alaska, USA.
Bob GearheartArcata Marsh Research Institute (AMRI), Arcata, California, USA.
Catalina Cuellar-GempelerCal Poly Humboldt, Arcata, California, USA.ORCID 0000-0002-2634-9599

Funding

City of Arcata
6 · The paper itself

Abstract

Considering temporal and spatial change in biodiversity and ecosystem function (BEF) relationships is critical to predict and manage ecosystem services, especially in human-mediated and impacted ecosystems. We propose that species responses to seasonal change and spatial distributions can act as a laboratory to reveal diversity-function relationships with management implications. This study investigates the relationship between aquatic bacterial diversity and ammonia removal function in a wastewater secondary treatment constructed wetland system. Specifically, we took water samples across a system of six interconnected ponds, from August 2019 to February 2020, at the Arcata Wastewater Treatment Facility (AWTF), in Coastal Humboldt County (California, USA). We used 16S rRNA gene amplicon sequencing to measure bacterial diversity and composition, and an ammonia electrode probe to measure ammonia at the influx and efflux positions of each pond. We found a significant negative relationship between ASV richness and ammonia removal, suggesting that nitrifying and denitrifying bacteria, critical in ammonia removal, are poor competitors, known as a negative selection effect. Based on structural equation modeling, we found that bacterial richness effect on ammonia removal was second to location effects, followed by direct effects of season on richness. We identify taxa associated with function that may influence management strategies, including Planktophila, Legionella, Sulfurimonadaceae, and Sporichtyaceae that thrive in ponds located after chlorination steps. This result enriches the traditional wastewater treatment reactor paradigms to reveal negative BEF relationships that appear within spatial, temporal, and environmental influences. By expanding our views of BEF relationships, we can further unravel how community diversity and composition influence ecosystem processes in natural and humanized systems.IMPORTANCEThis study sheds new light on how biodiversity impacts ecosystem functions in human-made environments, specifically wastewater treatment systems. By examining bacterial diversity and ammonia removal efficiency across interconnected ponds, we challenge the conventional assumption that more species always lead to better ecosystem performance. The surprising finding that higher bacterial diversity can reduce ammonia removal efficiency (due to competition among key bacteria) offers fresh insights into how microbial communities work. This understanding is critical for improving wastewater treatment and designing systems that maximize efficiency. Moreover, identifying specific bacteria linked to ammonia removal provides practical information for better managing and enhancing treatment processes. By broadening how we think about the relationship between biodiversity and ecosystem function, this study offers valuable tools for both scientists and environmental managers working to balance human impact with ecosystem health.

Indexed as

BacteriaWastewaterWetlandsAmmoniaBiodiversityCaliforniaDenitrificationMicrobiotaNitrificationPondsRNA, Ribosomal, 16SSeasonsWaste Disposal, FluidWater PurificationAmmoniaRNA, Ribosomal, 16SWastewaterammoniadiversity-ecosystem function relationshipmicrobial communitywater qualitywetland

Identifiers

PMID42012161
PMCPMC13227994

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.