Evidence map›Paper›PMID 40253350›Full record

ArticleBiotechnology for biofuels and bioproducts2025

Disruption-induced changes in syntrophic propionate and acetate oxidation: flocculation, cell proximity, and microbial activity.

Nils Weng, Hossein Nadali Najafabadi, Maria Westerholm

Abstract read
In one paragraph

Article in Biotechnology for biofuels and bioproducts, 2025. 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

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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
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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.

Nils WengDepartment of Molecular Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Hossein Nadali NajafabadiDepartment of Management and Engineering, Linköping University, 581 83, Linköping, Sweden.
Maria WesterholmDepartment of Molecular Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden. Maria.Westerholm@slu.se.

Funding

European Research Council 948138Novo Nordisk Foundation NNF23OC0081830Swedish Research Council 2019-03846
6 · The paper itself

Abstract

backgroundSyntrophic propionate- and acetate-oxidising bacteria (SPOB and SAOB) play a crucial role in biogas production, particularly under high ammonia conditions that are common in anaerobic degradation of protein-rich waste streams. These bacteria rely on close interactions with hydrogenotrophic methanogens to facilitate interspecies electron transfer and maintain thermodynamic feasibility. However, the impact of mixing-induced disruption of these essential syntrophic interactions in biogas systems remains largely unexplored. This study investigates how magnetic stirring and orbital shaking influence degradation dynamics, microbial community composition, and gene expression in syntrophic enrichment communities under high-ammonia conditions.

resultsStirring significantly delayed the initiation of propionate degradation in one culture and completely inhibited it in the other two parallel cultures, whereas acetate degradation was less affected. Computational fluid dynamics modelling revealed that stirring generated higher shear rates (~ 20 s

conclusionsThis study highlights that stirring critically disrupts the initial syntrophic connection between SPOB and methanogens, whereas SAOB communities exhibit greater tolerance to shear stress and disruptive conditions that inhibits aggregate formation. These findings emphasize the importance of carefully managing mixing regimes, especially when attempting to reactivate ammonia-tolerant syntrophic propionate degraders in biogas systems experiencing rapid propionate accumulation under high-ammonia conditions.

Indexed as

Anaerobic digestionComputational fluid dynamicsFlocculationInterspecies electron transferMethanogensMixingSyntrophic acetate-oxidizing bacteriaSyntrophic propionate-oxidizing bacteria

Identifiers

PMID40253350
PMCPMC12008871

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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.