Evidence map›Paper›PMID 42444082›Full record

ArticleEnvironmental microbiology2026

Linking Abundance and Activity of Ammonia-Oxidising Bacteria and Archaea in an Agriculturally Impacted First-Order Stream.

Zhe Wang, Anna Störiko, Aileen Jung, Daniel Straub, Olaf A Cirpka, Holger Pagel, Tillmann Lueders

Abstract read
In one paragraph

Article in Environmental microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zhe WangChair of Ecological Microbiology, Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Bayreuth, Germany.ORCID https://orcid.org/0000-0002-2503-5862
Anna StörikoDepartment of Geosciences, University of Tübingen, Tübingen, Germany.ORCID https://orcid.org/0000-0002-9281-0881
Aileen JungChair of Ecological Microbiology, Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Bayreuth, Germany.ORCID https://orcid.org/0000-0003-1573-6427
Daniel StraubDepartment of Geosciences, University of Tübingen, Tübingen, Germany.ORCID https://orcid.org/0000-0002-2553-0660
Olaf A CirpkaDepartment of Geosciences, University of Tübingen, Tübingen, Germany.ORCID https://orcid.org/0000-0003-3509-4118
Holger PagelDepartment of Biogeophysics, University of Hohenheim, Stuttgart, Germany.ORCID https://orcid.org/0000-0003-2424-351X
Tillmann LuedersChair of Ecological Microbiology, Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Bayreuth, Germany.ORCID https://orcid.org/0000-0002-9361-5009

Funding

German Research Foundation CRC 1253German Research Foundation RTG 1829German Research Foundation STR 481/12-1
6 · The paper itself

Abstract

Lower-order streams in agricultural landscapes receive major anthropogenic nitrogen inputs. Streambed sediments host diverse microbial communities that can influence nitrogen (N) fluxes and water chemistry. Both bacterial and archaeal ammonia oxidizers inhabit streambeds, but their respective contributions to nitrification are often unresolved. We investigated a first-order stream in southern Germany to assess the contribution of distinct ammonia-oxidising populations to streambed nitrification. We combined in situ geochemical data, 16S rRNA and functional-gene amplicon sequencing, quantitative PCR and microcosm incubations with selective chemical inhibitors. A process-based reaction model quantified total nitrification rates and inferred contributions of ammonia-oxidising archaea (AOA) and bacteria (AOB), while population-specific kinetic parameters were estimated using Bayesian inference. We found that AOB dominated nitrification and responded more strongly to ammonium inputs than AOA despite being less abundant. Among them, populations of Nitrosomonas and Nitrosospira spp. were most important. Differences in ammonia-oxidation rates and ammonia-oxidising communities between sediment depths and successive stream segments suggest a hydrological influence on streambed nitrification. Our study demonstrates the strength of combining field data, microcosm incubations and modelling to better understand microbial N-cycling in the environment. It also mandates caution when interpreting functional-gene abundance as a proxy for in situ reactive potential.

Indexed as

AmmoniaArchaeaBacteriaRiversAgricultureGeologic SedimentsGermanyNitrificationOxidation-ReductionRNA, Ribosomal, 16SAmmoniaRNA, Ribosomal, 16S16S rRNA sequencingfunctional genesmicrobial abundancenitrifiersreaction modellingreactive nitrogenstreambed sediments

Identifiers

PMID42444082
PMCPMC13365662

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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.