Evidence map›Paper›PMID 42328985›Full record

ArticleMicrobiology spectrum2026

Long-read metagenomics reveals stable resistome and microbiome in treated Italian slaughterhouse wastewater: a preliminary study.

Stefano Pallotti, Maria Elena Nigro, Elisa Albini, Elisa Russo, Francesco M Carpi, Maurizio Falconi, Benedetta Torbidoni-Baldassari, Anna Maria Giuliodori, Dezemona Petrelli, Livia Beccacece and 4 more

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

14 authors.

Stefano PallottiSchool of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.ORCID 0000-0003-3196-151X
Maria Elena NigroIstituto Zooprofilattico Sperimentale dell'Umbria e delle Marche "Togo Rosati", Perugia, Italy.
Elisa AlbiniIstituto Zooprofilattico Sperimentale dell'Umbria e delle Marche "Togo Rosati", Perugia, Italy.
Elisa RussoIstituto Zooprofilattico Sperimentale dell'Umbria e delle Marche "Togo Rosati", Perugia, Italy.
Francesco M CarpiSYNBIOTEC Laboratori S.r.l, Camerino, Italy.
Maurizio FalconiSchool of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.
Benedetta Torbidoni-BaldassariSchool of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.
Anna Maria GiuliodoriSchool of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.
Dezemona PetrelliSchool of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.
Livia BeccaceceSchool of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.
Giovanni PezzottiIstituto Zooprofilattico Sperimentale dell'Umbria e delle Marche "Togo Rosati", Perugia, Italy.
Chiara Francesca MagistraliIstituto Zooprofilattico Sperimentale dell'Umbria e delle Marche "Togo Rosati", Perugia, Italy.
Francesca Romana MassacciIstituto Zooprofilattico Sperimentale dell'Umbria e delle Marche "Togo Rosati", Perugia, Italy.
Valerio NapolioniSchool of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.ORCID 0000-0002-4378-6838

Funding

Ministero della Salute RC 004/2022
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) poses a major threat to global health, and food production environments are increasingly recognized as potential reservoirs and dissemination points for resistant bacteria and antimicrobial resistance genes (ARGs). Slaughterhouse wastewater contains complex microbial communities originating from multiple animal sources and processing activities, yet the effectiveness of current treatment processes in mitigating microbiological and resistome-associated risks remains poorly understood. In this study, we applied high-throughput long-read metagenomic sequencing to characterize microbial community composition and resistome profiles in wastewater samples collected before and after physicochemical treatment from four Italian slaughterhouses. Taxonomic profiling revealed a diverse microbiome dominated by

Indexed as

BacteriaDrug Resistance, BacterialMicrobiotaWastewaterAbattoirsAnimalsAnti-Bacterial AgentsItalyMetagenomicsAnti-Bacterial AgentsWastewaterantibiotic resistance genesantimicrobial resistancemetagenomicsslaughterhouse wastewater

Identifiers

PMID42328985
PMCPMC13435776

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.