Evidence map›Paper›PMID 41910273›Full record

ArticlemSystems2026

Osmotolerance is a driver of microbial carbon processes in the Elbe estuary.

Sven P Tobias-Hünefeldt, Jason N Woodhouse, Hans-Joachim Ruscheweyh, Shinichi Sunagawa, Vanessa Russnak, Wolfgang R Streit, Hans-Peter Grossart

Abstract read
In one paragraph

Article in mSystems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Sven P Tobias-HünefeldtDepartment of Plankton and Microbial Ecology, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Stechlin, Germany.ORCID 0000-0002-3844-1624
Jason N WoodhouseDepartment of Plankton and Microbial Ecology, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Stechlin, Germany.
Hans-Joachim RuscheweyhDepartment of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland.
Shinichi SunagawaDepartment of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland.ORCID 0000-0003-3065-0314
Vanessa RussnakInstitute of Carbon Cycles, Helmholtz Centre Hereon, Geesthacht, Germany.ORCID 0009-0004-3663-5718
Wolfgang R StreitDepartment of Microbiology and Biotechnology, Institute for Plant Sciences and Microbiology University of Hamburg, Hamburg, Germany.ORCID 0000-0001-7617-7396
Hans-Peter GrossartDepartment of Plankton and Microbial Ecology, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Stechlin, Germany.ORCID 0000-0002-9141-0325

Funding

Bundesministerium für Bildung und Forschung 03F0864CDeutsche Forschungsgemeinschaft 407270017/RTG2530Deutsche Forschungsgemeinschaft GR1540/37-1ETH Zürich Foundation Core Funding
6 · The paper itself

Abstract

Estuaries are blue carbon loci, storing and exchanging carbon between aquatic, atmospheric, and terrestrial environments. Estuarine particles facilitate the transformation and transport of organic matter. The fate of particulate organic matter in estuaries is driven by structural changes in polymers that modify buoyancy, determining the proportions of sinking and suspended particles. In the open ocean and coastal ecosystems, the microbial composition and function of sinking and suspended particles differ, impacting carbon remineralization and sedimentation rates. We leverage 190 metagenomes and 73 metatranscriptomes to assess free-living, sinking, and suspended particle-associated microbial composition and function across the Elbe estuary. The salinity gradient in the Elbe estuary is the primary driver of microbiome composition and function. Transparent exopolymer particles (TEP) production was localized to freshwater, with seemingly no TEP-associated organisms detected above 20 practical salinity units (PSU). We observed differences in the function of free-living and particle-associated microbial communities, with diazotrophs enriched on particles. We observed that sinking particles may better support methanogenesis, and suspended particles showed signs of continued primary and secondary production. From this, we conclude that activities such as dredging, which resuspend sediment, will exacerbate carbon turnover and greenhouse gas emissions, and reduced dredging may lower greenhouse gas (GHG) emissions in the Elbe estuary. Many of these GHG linking processes are inhibited by salinity due to the osmosensitivity of methanogens and methanotrophs along the estuary. Changes in sea level and precipitation rates will likely directly interact with activities such as dredging, with as yet uncertain impacts on microbial carbon processing and storage. IMPORTANCE: Estuaries, lower river areas that merge into oceans, play a large role in Earth's carbon cycle. Estuaries store carbon and manage greenhouse gases, exchanging carbon between land, water, and the air. As carbon travels down estuaries, it is processed by free-living and particle-associated microbes. We explore the relationship between environmental conditions and present and expressed genes. Based on gene profiles, methane concentrations in the water column may be related to the abundance of sinking particles, while suspended particles are linked to growth and energy acquisition. Therefore, the balance of suspended vs. sinking particles is important in highly turbid estuaries, like the Elbe estuary, where urban activities affect greenhouse gas emissions and salinity intrusions. Dredging often tips the balance toward sinking particles and therefore increased greenhouse gas emissions. Our study thereby informs future policy decisions and the impact these decisions will have on our future climate.

Indexed as

CarbonEstuariesMicrobiotaBacteriaMetagenomeSalinityWater MicrobiologyCarboncarbon cycleestuarymetagenomesmetatranscriptomesparticle-associated vs. free-living bacteriasalinity gradient

Identifiers

PMID41910273
PMCPMC13098242

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.