Evidence map›Paper›PMID 41626752›Full record

ArticleThe ISME journal2025

Hydrological regime of a continental river system predicts bacterial macroecological patterns.

Katalin Demeter, Domenico Savio, Alexander K T Kirschner, Georg H Reischer, Stoimir Kolarevic, Juraj Parajka, Julia Derx, Stefan Jakwerth, Christian Wurzbacher, Alfred P Blaschke and 4 more

Abstract read
In one paragraph

Article in The ISME journal, 2025. 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

14 authors.

Katalin DemeterResearch Group Microbiology and Molecular Diagnostics E166-5-3, Institute for Chemical, Environmental and Bioscience Engineering and Research Centre Water & Health E057-08, TU Wien, Gumpendorferstraße 1a, 1060 Vienna, Austria.ORCID 0000-0002-4260-3630
Domenico SavioResearch Group Microbiology and Molecular Diagnostics E166-5-3, Institute for Chemical, Environmental and Bioscience Engineering and Research Centre Water & Health E057-08, TU Wien, Gumpendorferstraße 1a, 1060 Vienna, Austria.ORCID 0000-0001-5322-9536
Alexander K T KirschnerInteruniversity Cooperation Centre Water and Health, waterandhealth.at.ORCID 0000-0002-9797-3073
Georg H ReischerResearch Group Microbiology and Molecular Diagnostics E166-5-3, Institute for Chemical, Environmental and Bioscience Engineering and Research Centre Water & Health E057-08, TU Wien, Gumpendorferstraße 1a, 1060 Vienna, Austria.ORCID 0000-0002-3962-8685
Stoimir KolarevicInstitute for Biological Research "Siniša Stanković" - National Institute of Republic of Serbia, University of Belgrade, Bulevar despota Stefana 142, 11060 Belgrade, Serbia.
Juraj ParajkaInstitute of Hydraulic Engineering and Water Resource Management, Research Area Hydraulic Engineering and Water Quantity Management, TU Wien, Karlsplatz 13/222, 1040 Vienna, Austria.ORCID 0000-0002-1177-5181
Julia DerxInteruniversity Cooperation Centre Water and Health, waterandhealth.at.ORCID 0000-0002-9931-088X
Stefan JakwerthInteruniversity Cooperation Centre Water and Health, waterandhealth.at.
Christian WurzbacherChair of Urban Water Systems Engineering, Technical University of Munich, Am Coulombwall 3, 85748 Garching, Germany.ORCID 0000-0001-7418-0831
Alfred P BlaschkeInteruniversity Cooperation Centre Water and Health, waterandhealth.at.ORCID 0000-0001-8617-5802
Robert L MachInstitute of Chemical, Environmental and Bioscience Engineering, TU Wien, Gumpendorferstraße 1a, 1060 Vienna, Austria.ORCID 0000-0003-2375-7244
Günter BlöschlInstitute of Hydraulic Engineering and Water Resource Management, Research Area Hydraulic Engineering and Water Quantity Management, TU Wien, Karlsplatz 13/222, 1040 Vienna, Austria.ORCID 0000-0003-2227-8225
Andreas H FarnleitnerResearch Group Microbiology and Molecular Diagnostics E166-5-3, Institute for Chemical, Environmental and Bioscience Engineering and Research Centre Water & Health E057-08, TU Wien, Gumpendorferstraße 1a, 1060 Vienna, Austria.ORCID 0000-0002-0542-5425
Alexander EilerDepartment of Biosciences, Centre of Biogeochemistry in the Anthropocene, Section for Aquatic Biology and Toxicology, University of Oslo, Blindernveien 31, 0371 Oslo, Norway.ORCID 0000-0001-9916-9567

Funding

Austrian Science FundSwedish Foundation for Strategic Research ICA10-0015Swedish Research Council VR2012-4592
6 · The paper itself

Abstract

Modeling bacterial dynamics in large river systems is crucial for predicting continental-scale ecosystem functioning under anthropogenic pressures. Although the River Continuum and Metacommunity concepts have provided theoretical frameworks, quantitative parameters necessary for microbial macroecological models remain scarce. Here, we present results from two whole-river surveys, conducted six years apart along 2600 km of the Danube River. Using bacterial secondary production, cell counts, and 16S ribosomal RNA (rRNA) gene amplicon sequencing, we quantified carbon, cell, phylotype, and diversity turnover along the river. Carbon incorporation per cell declined with water travel time by 6000-21 000 atoms per hour. Bacterial cells multiplied every eight days, resulting in four to six doublings during downstream transport. Growth responses at the level of individual phylotypes differed up to a hundredfold from these bulk community estimates. Bacterial diversity dynamics were dominated by phylotype turnover rather than phylotype loss. Turnover ranged from 0.92 to 0.96 along the river, indicating an almost complete replacement of phylotypes with 2%-11% of headwater-associated amplicon sequence variants (ASVs) persisting under base-flow conditions. Richness declined gradually downstream at a rate of ~0.13 ASVs per hour. Variations in bacterial secondary production, cell abundance, and observed ASVs were best explained by models combining hydrological and water quality parameters, whereas beta diversity followed a gradual development primarily structured by water travel time. Together, these results identify water travel time as the key integrative parameter governing microbial macroecological dynamics along large rivers, with environmental conditions fine-tuning local responses. These models can help predict changes in microbial diversity and functioning under anthropogenic alterations.

Indexed as

aquatic microbial ecologybacterial carbon assimilationbacterial community compositionmetacommunity

Identifiers

PMID41626752
PMCPMC12927878

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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.