Evidence map›Paper›PMID 42329047›Full record

ArticleMicrobiology spectrum2026

Application of antibiotics for the selective isolation of previously uncultured species from activated sludge.

Stefania Andrea Rosso Villanelo, Sofie Zacho Vestergaard, Lei Liu, Yu Yang, Inge Søkilde Pedersen, Per Halkjær Nielsen, Morten Kam Dahl Dueholm

Abstract read
In one paragraph

Article in Microbiology spectrum, 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.

Stefania Andrea Rosso VillaneloCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.ORCID 0000-0002-2528-9213
Sofie Zacho VestergaardCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.ORCID 0000-0002-2328-2595
Lei LiuCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.ORCID 0000-0002-9859-7698
Yu YangCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.ORCID 0000-0001-5634-1427
Inge Søkilde PedersenDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.ORCID 0000-0002-9902-8040
Per Halkjær NielsenCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.ORCID 0000-0002-6402-1877
Morten Kam Dahl DueholmCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.ORCID 0000-0003-4135-2670

Funding

Novo Nordisk Fonden NNF22OC0071498
6 · The paper itself

Abstract

The microbial communities in activated sludge (AS) drive pollutant degradation and nutrient transformation into biomass and gaseous products, while also enabling resource recovery processes. In these systems, microorganisms grow as flocs, whose aggregation properties are essential for retaining active biomass while producing a clarified effluent. Understanding the microbial composition of AS and the functions of individual taxa is crucial for improving wastewater treatment practices and developing new treatment technologies. Although DNA-based studies have identified abundant taxa and inferred their metabolic roles, many of these organisms remain uncultured, limiting experimental validation of genome-based predictions. Here, we investigated whether antibiotics can transiently reduce community complexity and alleviate competitive exclusion during cultivation, thereby facilitating isolation of previously uncultured activated sludge bacteria. Dispersed single cells from AS were cultivated on agarose plates containing filter-sterilized AS fluid and 1 of 11 antibiotics at three concentrations. Full-length 16S rRNA gene amplicon sequencing indicated that antibiotics reduced microbial diversity and altered community composition in an antibiotic- and concentration-dependent manner. Two antibiotic conditions were selected for pure-culture isolation, resulting in 74 isolates that represented 28 different species based on genomic average nucleotide identity. These include 13 putatively novel species based on GTDB classification, and 19 species belonging to nine globally abundant AS core genera. Although several isolates belonged to genera with cultured representatives, they likely represent distinct species with potentially different ecological functions and physiological traits. These findings demonstrate that antibiotics can function as ecological selectors during cultivation and aid the targeted isolation of ecosystem-relevant activated sludge bacteria.IMPORTANCEBiological wastewater treatment relies on diverse microbial communities to degrade pollutants and drive nutrient transformations. Understanding the physiology and metabolism of these microorganisms is essential for improving the efficiency and cost-effectiveness of treatment processes. Much of our current knowledge is derived from 16S rRNA gene amplicon sequencing and metagenomic analyses. However, validating these sequencing- and genome-based insights requires bacterial species as pure cultures, and only a limited number of taxa common in wastewater treatment plants are currently available in culture. Here, we present an isolation strategy that uses antibiotics as a selective pressure to reduce microbial complexity and alleviate competitive exclusion during cultivation, while full-length 16S rRNA gene amplicon sequencing is used to monitor enrichment and guide targeted isolation, thereby facilitating the recovery of process-relevant activated sludge bacteria, including potentially uncultured taxa. These isolates can serve as model organisms for experimental validation of genome-based predictions.

Indexed as

Anti-Bacterial AgentsBacteriaSewageDNA, BacterialMicrobiotaPhylogenyRNA, Ribosomal, 16SWastewaterAnti-Bacterial AgentsDNA, BacterialRNA, Ribosomal, 16SSewageWastewateractivated sludgeantibioticscultureomics

Identifiers

PMID42329047
PMCPMC13436025

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LicenceCC BY
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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.