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Antibiotics
Special Issues
Antimicrobial Resistance Monitoring in Food-Producing Animals
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Antimicrobial Resistance Monitoring in Food-Producing Animals

A special issue of Antibiotics (ISSN 2079-6382).

Deadline for manuscript submissions: 31 August 2024 | Viewed by 4829

Special Issue Editors

Dr. Francesca Romana Massacci

E-Mail Website
Guest Editor
Istituto Zooprofilattico Sperimentale dell'Umbria e delle Marche "Togo Rosati", Perugia, Italy
Interests: infectious diseases; antimicrobial resistance (AMR); genomics; whole genomic sequences (WGS); livestock
Special Issues, Collections and Topics in MDPI journals
Dr. Chiara Francesca Magistrali

E-Mail Website
Guest Editor
Istituto Zooprofilattico Sperimentale dell’Umbria e delle Marche “Togo Rosati”, 06126 Perugia, Italy
Interests: food-producing animals; beta lactamase; enterobacteriaceae; whole genomic sequences (WGS); antibiotic resistant bacteria (ARB); antibiotic resistant genes (ARG)

Special Issue Information

Dear Colleagues,

We are inviting the submission of reviews and original research papers presenting basic and applied research on antimicrobial resistance monitoring in food-producing animals.

Antimicrobial resistance (AMR) represents one of the main challenges to public health in modern society. This problem, affecting humans, animals and the environment, should be addressed through a multidisciplinary approach from a "One Health" perspective. Several studies show how antibiotic-resistant bacteria (ARB) and the genes responsible for AMR (ARG) can be transferred from farm animals to humans. The recent literature has been focused on implementing knowledge of AMR through different methods such as selective bacterial cultures and/or whole-genome sequencing. Furthermore, assessing and monitoring AMR in food-producing animals is one method to track emerging resistant pathogens that are common between animals and humans. Therefore, the current Special Issue aims to acquire new knowledge about the topics of interest and stimulate a discussion to create new baselines for future studies on antimicrobial resistance monitoring and its implications in food-producing animals.

Dr. Francesca Romana Massacci
Dr. Chiara Francesca Magistrali
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Antibiotics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • livestock
  • food-producing animals
  • antimicrobial resistance (AMR)
  • genomics
  • monitoring plan
  • epidemiology
  • antibiotic resistant bacteria (ARB)
  • antibiotic resistant genes (ARG)

Published Papers (3 papers)

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Research

17 pages, 2142 KiB  
Article
Impact of Soil Fertilization with Pig Slurry on Antibiotic Residues and Resistance Genes: A Longitudinal Study
by Luisa Massaccesi, Elisa Albini, Francesca Romana Massacci, Danilo Giusepponi, Fabiola Paoletti, Stefano Sdogati, Francesco Morena, Alberto Agnelli, Angelo Leccese, Chiara Francesca Magistrali and Roberta Galarini
Antibiotics 2024, 13(6), 486; https://doi.org/10.3390/antibiotics13060486 - 24 May 2024
Viewed by 641
Abstract
The impact of soil fertilization with animal manure on the spread and persistence of antibiotic resistance in the environment is far from being fully understood. To add knowledge about persistence and correlations between antibiotic residues and antibiotic resistance genes (ARGs) in fertilized soil, [...] Read more.
The impact of soil fertilization with animal manure on the spread and persistence of antibiotic resistance in the environment is far from being fully understood. To add knowledge about persistence and correlations between antibiotic residues and antibiotic resistance genes (ARGs) in fertilized soil, a longitudinal soil mesocosm study was conducted. Soil samples were collected from the mesocosms immediately before spreading and then afterward at fifteen time points during a 320-day observation period. Eight ARGs (ermB, sul1, tetA, tetG, tetM, cfr, fexA, and optrA) and the class 1 integron-integrase gene, intI1, were determined in both pig slurry and soil, as well as residues of 36 antibiotics. Soil chemical and biochemical parameters were also measured. Twelve antibiotics were detected in the slurry in the range of 3 µg kg−1–3605 µg kg−1, with doxycycline, lincomycin, and tiamulin being the most abundant, whereas ermB, sul1, and tetM were the predominant ARGs. Before spreading, neither antibiotic residues nor ARGs were detectable in the soil; afterwards, their concentrations mirrored those in the slurry, with a gradual decline over the duration of the experiment. After about three months, the effect of the amendment was almost over, and no further evolution was observed. Full article
(This article belongs to the Special Issue Antimicrobial Resistance Monitoring in Food-Producing Animals)
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23 pages, 1891 KiB  
Article
Antimicrobial Susceptibility in Respiratory Pathogens and Farm and Animal Variables in Weaned California Dairy Heifers: Logistic Regression and Bayesian Network Analyses
by Brittany L. Morgan Bustamante, Munashe Chigerwe, Beatriz Martínez-López, Sharif S. Aly, Gary McArthur, Wagdy R. ElAshmawy, Heather Fritz, Deniece R. Williams, John Wenz and Sarah Depenbrock
Antibiotics 2024, 13(1), 50; https://doi.org/10.3390/antibiotics13010050 - 4 Jan 2024
Cited by 1 | Viewed by 1500
Abstract
Weaned dairy heifers are a relatively understudied production group. Bovine respiratory disease (BRD) is the most common cause of antimicrobial drug (AMD) use, morbidity, and mortality in this production group. The study of antimicrobial resistance (AMR) is complicated because many variables that may [...] Read more.
Weaned dairy heifers are a relatively understudied production group. Bovine respiratory disease (BRD) is the most common cause of antimicrobial drug (AMD) use, morbidity, and mortality in this production group. The study of antimicrobial resistance (AMR) is complicated because many variables that may affect AMR are related. This study generates hypotheses regarding the farm- and animal-level variables (e.g., vaccination, lane cleaning, and AMD use practices) that may be associated with AMR in respiratory isolates from weaned dairy heifers. A cross-sectional study was performed using survey data and respiratory isolates (Pasteurella multocida, Mannheimia haemolytica, and Histophilus somni) collected from 341 weaned dairy heifers on six farms in California. Logistic regression and Bayesian network analyses were used to evaluate the associations between farm- and animal-level variables with minimum inhibitory concentration (MIC) classification of respiratory isolates against 11 AMDs. Farm-level variables associated with MIC classification of respiratory isolates included the number of source farms of a calf-rearing facility, whether the farm practiced onsite milking, the use of lagoon water for flush lane cleaning, and respiratory and pinkeye vaccination practices. Animal-level variables associated with a MIC classification included whether the calf was BRD-score-positive and time since the last phenicol treatment. Full article
(This article belongs to the Special Issue Antimicrobial Resistance Monitoring in Food-Producing Animals)
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14 pages, 1946 KiB  
Article
New Characterization of Multi-Drug Resistance of Streptococcus suis and Biofilm Formation from Swine in Heilongjiang Province of China
by Chun-Liu Dong, Rui-Xiang Che, Tong Wu, Qian-Wei Qu, Mo Chen, Si-Di Zheng, Xue-Hui Cai, Gang Wang and Yan-Hua Li
Antibiotics 2023, 12(1), 132; https://doi.org/10.3390/antibiotics12010132 - 10 Jan 2023
Cited by 4 | Viewed by 2189
Abstract
The aim of this study was to investigate the antimicrobial resistance profiles and genotypes of Streptococcus suis in Heilongjiang Province, China. A total of 29 S. suis were isolated from 332 samples collected from 6 pig farms. The results showed that serotypes 2, [...] Read more.
The aim of this study was to investigate the antimicrobial resistance profiles and genotypes of Streptococcus suis in Heilongjiang Province, China. A total of 29 S. suis were isolated from 332 samples collected from 6 pig farms. The results showed that serotypes 2, 4 and 9 were prevalent, and all the clinical isolates were resistant to at least two antibacterial drugs. The most resisted drugs were macrolides, and the least resisted drugs were fluoroquinolones. Resistant genes ermB and aph (3′)-IIIa were highly distributed among the isolates, with the detection rates of 79.31% and 75.86%. The formation of biofilm could be observed in all the isolated S. suis, among which D-1, LL-1 and LL-3 strains formed stronger biofilm structure than other strains. The results indicate that S. suis in Heilongjiang Province presents a multi-drug resistance to commonly used antimicrobial drugs, which was caused by the same target gene, the dissemination of drug resistance genes, and bacterial biofilm. Full article
(This article belongs to the Special Issue Antimicrobial Resistance Monitoring in Food-Producing Animals)
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