Evidence map›Paper›PMID 42050755›Full record

ArticleEnvironmental microbiology reports2026

The Elbe Estuary Microbiome Shifts With Salinity and Discharge and Depends on Fresh Organic Matter and Nutrient Availability.

Vanessa Russnak, Raphael Koll, Sabine Keuter, Tina Sanders, Kirstin Dähnke

Abstract read
In one paragraph

Article in Environmental microbiology reports, 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

5 authors.

Vanessa RussnakHelmholtz-Centre Hereon, Institute of Carbon Cycles, Geesthacht, Germany.ORCID https://orcid.org/0009-0004-3663-5718
Raphael KollInstitute of Marine Ecosystem and Fishery Science, University of Hamburg, Hamburg, Germany.ORCID https://orcid.org/0009-0004-4072-3841
Sabine KeuterHelmholtz-Centre Hereon, Institute of Carbon Cycles, Geesthacht, Germany.ORCID https://orcid.org/0000-0001-8902-4882
Tina SandersHelmholtz-Centre Hereon, Institute of Carbon Cycles, Geesthacht, Germany.ORCID https://orcid.org/0000-0002-3692-1800
Kirstin DähnkeHelmholtz-Centre Hereon, Institute of Carbon Cycles, Geesthacht, Germany.ORCID https://orcid.org/0000-0001-5133-7082

Funding

Bundesministerium für Bildung und Forschung 03F0864CDeutsche Forschungsgemeinschaft 407270017/RTG2530Deutsche Forschungsgemeinschaft 496691966/FA 1568European Commission 101000518Helmholtz Association MOSES
6 · The paper itself

Abstract

The Elbe Estuary (Germany) stretches 142 km from the weir in Geesthacht to the North Sea. It is classified as mesotidal, partially mixed and heavily impacted by anthropogenic activities and modifications. Despite well-documented changes in ecosystem status, little is known about the microbial community in its surface water. In this study, we used 16S rDNA sequencing to characterise bacterial communities in surface water of the Elbe Estuary. Samples were collected across three seasons (winter, spring, and summer) in 2021 and 2022, to assess the relationship between environmental factors and bacterial community structure. Our analyses revealed that bacterial community diversity and composition varied seasonally and along the estuary stretch and were closely linked to physicochemical properties. Alpha diversity was highest in winter and in oligohaline samples. Distance-based redundancy analysis showed that salinity, discharge, temperature, inorganic nitrogen (NO

Indexed as

BacteriaEstuariesFresh WaterMicrobiotaNutrientsSalinityBiodiversityGermanyRNA, Ribosomal, 16SSeasonsRNA, Ribosomal, 16Sdischargeestuarymicrobial communityseasonal variationspatial variations

Identifiers

PMID42050755
PMCPMC13124656

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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.