Evidence map›Paper›PMID 40655033›Full record

ArticleFrontiers in antibiotics2025

Temporal dynamics of antimicrobial resistance gene abundances in chicken manure and anaerobic digestate.

Aleksandra Atanasova, Thomas Amon, Uwe Roesler, Anika Friese, Roswitha Merle, Tina Kabelitz

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Article in Frontiers in antibiotics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

6 authors.

Aleksandra AtanasovaDepartment Sensors and Modelling, Leibniz Institute for Agricultural Engineering and Bioeconomy e. V. (ATB), Potsdam, Germany.
Thomas AmonDepartment Sensors and Modelling, Leibniz Institute for Agricultural Engineering and Bioeconomy e. V. (ATB), Potsdam, Germany.
Uwe RoeslerInstitute for Animal Hygiene and Environmental Health, Veterinary Centre for Resistance Research, Freie Universität Berlin (FU), Berlin, Germany.
Anika FrieseInstitute for Animal Hygiene and Environmental Health, Veterinary Centre for Resistance Research, Freie Universität Berlin (FU), Berlin, Germany.
Roswitha MerleInstitute of Veterinary Epidemiology and Biostatistics, Veterinary Centre for Resistance Research, Freie Universität Berlin (FU), Berlin, Germany.
Tina KabelitzDepartment Sensors and Modelling, Leibniz Institute for Agricultural Engineering and Bioeconomy e. V. (ATB), Potsdam, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Antimicrobial resistance (AMR) can spread in microorganisms through the transfer of antimicrobial resistance genes (ARGs). Livestock husbandry is one of the pathways for AMR emergence and transmission. Chicken manure contains valuable nutrients for agricultural field fertilization and can be used as input material for biogas production by anaerobic digestion (AD). However, usually, chicken manure also contains quite high levels of ARGs. In this study, we investigated the presence and temporal dynamics of ARGs against different antibiotic classes in chicken manure and anaerobic digestate as a source of AMR spread. Methods: To get an overview of the ARG profiles, we quantified the abundances of 374 ARGs by high-throughput (HT)-PCR. We studied eight selected ARGs ( Results: Chicken manure showed higher amounts of ARGs compared to digestate, which was characterized by a higher ARG diversity. We observed that the effect of chicken age differed between the flocks. ARG abundances in digestate from different time points and different treatment conditions did not exhibit major changes. Conclusion: The flocks' variability had no relevant effect on ARG abundances in chicken manure, likely due to similar growth conditions. However, manure ARG content increased with the age of the chickens. In our experimental batch setup, AD was more effective in reducing AMR microorganisms than reducing ARGs. Further investigations on process optimization or the application of pre-treatment methods could enhance ARG reduction. Notably, pre-mixing chicken manure with material from a biogas plant prior to processing resulted in a lower ARG load compared to untreated chicken manure.

Indexed as

anaerobic digestion fermentationantibioticsantimicrobial resistance gene (ARG)broilerhigh throughput qPCR (HT-qPCR)litterpoultry

Identifiers

PMID40655033
PMCPMC12245806

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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.