MétaCan
Menu
Back to cohort
Record W4403659287 · doi:10.3389/fmicb.2024.1509192

Editorial: Conference Research Topic: 9th symposium on Antimicrobial Resistance in Animals and the Environment (ARAE 2023)

2024· editorial· en· W4403659287 on OpenAlexaboutno aff
Benoît Doublet, S. Leclercq, Michel S. Zygmunt, Axel Cloeckaert

Bibliographic record

VenueFrontiers in Microbiology · 2024
Typeeditorial
Languageen
FieldAgricultural and Biological Sciences
TopicCoccidia and coccidiosis research
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceResistance (ecology)ChinaAntibiotic resistanceResistomePolitical scienceBiologyGeneticsEcologyLaw

Abstract

fetched live from OpenAlex

The international symposium on Antimicrobial Resistance in Animals and the Environment (ARAE) is a renowned scientific event gathering many scientists in the field from all over the world every 2 years since 2005. Its 9 th edition was held in July 2023 in Tours, France. The aim of the ARAE conference is to present an up-to-date vision of the impact of antibiotic use and resistance in the animal setting, its environment and subsequent impact on human health. All aspects related to epidemiology of antibiotic-resistant strains, genetic spread of antimicrobial resistance genes, emerging resistance mechanisms, resistome in microbiota, and the role of the environment as dissemination route and potential reservoir for resistance genes acquisition are discussed. The 9 th edition of ARAE welcomed 170 registered participants from 23 countries (Australia, Belgium, Canada, China, Czech Republic, Denmark, Finland, France, Germany, Ireland, Israel, Italy, Japan, Netherlands, Norway, Philippines, Poland, Portugal, South Korea, Spain, Tunisia, United Kingdom, United States). Early-career scientists represented almost 40% of participants. Five topic sessions gathered 59 oral presentations including keynote lectures and 94 research studies presented as posters. The proceedings of this 9 th ARAE symposium can be found at https://hal.inrae.fr/hal-04170355. The present conference research topic offered the opportunity to 150 authors worldwide to publish their studies presented during the conference as well as for scientists who were unable to attend the ARAE symposium. It includes 1 review, 1 systematic review and 16 original research articles.First, in an original review, Frederiksen et al. addressed the current knowledge on polyether ionophore resistance and the potential consequences in a One Health perspective. Polyether ionophores are largely used as feed additives in poultry production worldwide, especially monensin, to control avian coccidiosis due to Eimeria spp. Beside anti-parasitic activity, polyether ionophores has antibacterial activity but are not used in human medicine due to their toxicity. While Gram-negative bacteria are generally intrinsically resistant to polyether ionophores, Gram-positive bacteria such as Enterococcus faecium have been reported to harbour plasmid-borne narAB resistance genes against narasin with a yet unknown mechanism.Currently, there are sparse evidences of cross-resistance between ionophoric antibiotics and critically-important antibiotics for human medicine. However, the narAB resistance genes have been found to co-localize on conjugative plasmids of E. faecium with antibiotic resistance genes to macrolides, tetracycline and glycopeptides. This suggests that the use of narasin in broiler production systems could co-select vancomycin-resistant Enterococci that can pose a threat to human health.Salmonella enterica spp. are important zoonotic pathogens related to foodborne diseases worldwide. Multidrug-resistant (MDR) Salmonella spp. have been classified by the World Health Organisation as high priority pathogens for which new antibiotics are urgently needed.Here, Yan et al. carried out a bibliometric analysis to document trends in past and current researches dealing with horizontal gene transfer implicated in antimicrobial resistance spread in bacterial isolates of S. enterica. Since 1999, the number of publications in this field has shown an increasing trend with more than 100 publications per year in the recent years. There has been an evolution of research hotspots from (i) understanding of multidrug resistance in S. enterica serovar Typhimurium DT104 and other S. enterica serovars, (ii) emergence of plasmid-mediated expanded-spectrum cephalosporin resistance, to (iii) the analysis of whole genome sequences that has significantly enriched our understanding of the population structure, transmission dynamics, and epidemiology of antimicrobial resistance in S. enterica. Recent methods such as high-throughput long-read sequencing will provide exciting opportunities to deepen scientific understanding in this research domain.This conference research topic included also 3 articles focused on recent methodologies for rapid typing of MDR bacterial isolates and to harmonize methodologies in veterinary clinical laboratories. Zendri et al. assessed the potential of the InfraRed spectroscopy using the IR Biotyper for typing of nosocomial outbreaks of MDR pathogens in veterinary hospitals. They compared InfraRed spectroscopy and whole genome analysis of retrospective collections of Klebsiella pneumoniae and Pseudomonas aeruginosa isolated from companion animals (dogs and cats) and horses in 2 veterinary hospitals. InfraRed spectroscopy revealed a significant discriminatory power for K. pneumoniae isolates to identify clonal transmission events within veterinary hospital settings. However, this methodology appears less accurate for typing veterinary P. aeruginosa isolates indicating that further optimisation is needed before applying in routine veterinary laboratories. In another research article, dealing with bacterial morphology and antibiotic resistance, Ikebe et al. reported morphological differences using light microscopy between laboratory-evolved antibiotic-resistant E. coli strains and their susceptible parental ones. They correlated morphological features of resistant strains with phenotypic resistance and gene expression changes in energy metabolism and multidrug efflux systems. They proposed a novel image-based deep learning method for single-cell classification between resistant and susceptible strains. Further improvements of such deep learning algorithm would probably enable the identification of resistant bacterial cells using light microscopy in a near future.Finally, Koritnik et al. reported the results of a European survey about methodologies in veterinary microbiology laboratories (n= 241 labs from 34 European countries). They highlighted a broad diversity of methods for bacterial culture and identification with result reports ranging from 2 to 8 days. In European veterinary microbiological diagnostic laboratories, disc-diffusion method and minimal inhibitory concentration determination were both used for antimicrobial susceptibility testing as well as EUCAST and CLSI clinical breakpoints as interpretative criteria. This large European survey clearly emphasizes that harmonization is needed in bacterial culture and identification and in antimicrobial susceptibility testing for reporting and comparison purposes.A large set of original research articles (n=7) concerned molecular epidemiology of antimicrobial-resistant bacteria, mainly E. coli, isolated from food-producing animals, food, horses and veterinary hospitals. Antimicrobial resistance (AMR) is an important One Health issue in broiler production worldwide, notably by the carriage of MDR bacteria in the gut of healthy animals that can contaminate meat (Seiffert et al. 2013). Leclercq et al. performed an in depth genomic analysis of MDR E. coli isolated in an experimental facility reproducing the entire broiler production pyramid without antibiotic use since more than 10 years. They demonstrated that no transmission of MDR E. coli occurred from hens to offspring nor acquisition at the hatchery during 3 generations, but that the downstream rearing environment may constitute the source of few MDR E. coli clonal populations able to colonize young chicks.In addition, they showed a strong association between each major E. coli clonal populations and their own MDR IncF plasmid subtypes over chicken generations. Davies et al. reported a study focused on commensal E. coli broilers from live bird markets in Bangladesh. They described an extremely high occurrence of genetically-diverse MDR E. coli from caecal samples (93%). While ciprofloxacin resistance was very common, other resistances to critically-important antibiotics remained rare or absent (cephalosporins, carbapenems, colistin) with very few plasmid-borne resistance genes (blaCTX-M, mcr-1, fosA, tet(X)). In another study, Dixit et al. assessed the diversity of resistant bacteria in raw chicken and pork meat samples in Australia. They identified 33 bacterial species belonging to 17 genera. Among a total of 288 isolates, 12% were phenotypically MDR. Chicken meat samples carried more MDR isolates than pork samples. WGS analysis of all isolates revealed a large diversity of AMR genes, few ones being considered of critically importance for human medicine.Resistance to expanded spectrum cephalosporins in veterinary medicine is a major concern for human health (Seiffert et al. 2013)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.056
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0080.004
Open science0.0040.002
Research integrity0.0140.011
Insufficient payload (model declined to judge)0.0560.049

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.260
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueFrontiers in MicrobiologySame topicCoccidia and coccidiosis researchFrench-language works237,207