Evidence map›Paper›PMID 35860383›Full record

ArticleFrontiers in cellular and infection microbiology2022

Different Swine Production Systems Can Shape Slurry Resistome at Mechanism and Class Levels Based on Swine Manure Evaluation.

Lucas Cafferati Beltrame, Caetana Paes Zamparette, Clarissa Feltrin, Caroline Ribeiro da Cunha, Elisa Pires Coltro, Gabriel Saldanha da Silva Athayde, Vilmar Benetti Filho, Deisi Cristina Tápparo, Jamir Monteiro, Jalusa Deon Kich and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 71% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
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

15 authors at 3 institutions in 1 country.

Lucas Cafferati BeltrameLaboratory of Immunoregulation, iREG, Department of Microbiology, Immunology, and Parasitology, Federal University of Santa Catarina, Florianópolis, Brazil.
Caetana Paes ZamparetteLaboratory of Applied Molecular Microbiology, MIMA, Department of Clinical Analysis, Federal University of Santa Catarina, Florianópolis, Brazil.
Clarissa FeltrinLaboratory of Applied Molecular Microbiology, MIMA, Department of Clinical Analysis, Federal University of Santa Catarina, Florianópolis, Brazil.
Caroline Ribeiro da CunhaLaboratory of Applied Molecular Microbiology, MIMA, Department of Clinical Analysis, Federal University of Santa Catarina, Florianópolis, Brazil.
Elisa Pires ColtroLaboratory of Immunoregulation, iREG, Department of Microbiology, Immunology, and Parasitology, Federal University of Santa Catarina, Florianópolis, Brazil.
Gabriel Saldanha da Silva AthaydeLaboratory of Applied Molecular Microbiology, MIMA, Department of Clinical Analysis, Federal University of Santa Catarina, Florianópolis, Brazil.
Vilmar Benetti FilhoLaboratory of Bioinformatics, Department of Microbiology, Immunology, and Parasitology, Federal University of Santa Catarina, Florianópolis, Brazil.
Deisi Cristina TápparoEmbrapa Suínos e Aves, Concórdia, Brazil.
Jamir MonteiroFaculty of Veterinary Medicine, University of Southern Santa Catarina, Tubarão, Brazil.
Jalusa Deon KichEmbrapa Suínos e Aves, Concórdia, Brazil.
Jussara Kasuko PalmeiroLaboratory of Applied Molecular Microbiology, MIMA, Department of Clinical Analysis, Federal University of Santa Catarina, Florianópolis, Brazil.
Glauber WagnerLaboratory of Bioinformatics, Department of Microbiology, Immunology, and Parasitology, Federal University of Santa Catarina, Florianópolis, Brazil.
Gislaine FongaroLaboratory of Applied Virology, LVA, Department of Microbiology, Immunology, and Parasitology, Federal University of Santa Catarina, Florianópolis, Brazil.
Carlos Rodrigo Zárate-BladésLaboratory of Immunoregulation, iREG, Department of Microbiology, Immunology, and Parasitology, Federal University of Santa Catarina, Florianópolis, Brazil.
Thaís Cristine Marques SinceroLaboratory of Applied Molecular Microbiology, MIMA, Department of Clinical Analysis, Federal University of Santa Catarina, Florianópolis, Brazil.
Universidade Federal de Santa Catarina · BRBrazilian Agricultural Research Corporation · BRUniversidade do Sul de Santa Catarina · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance is a major threat to public health. Antimicrobial use in animal husbandry is a major concern since it can favor an increase in antimicrobial resistance among farms. Herein, we aim to better understand and characterize the main resistome profiles in microbial communities found in pig farms. Sampling of swine manure was performed in two different timepoints (October 2019 and January 2020) in each of the 14 different swine farms, located in the mesoregion of Western Santa Catarina state in Brazil, a pole of swine product production of worldwide importance. Samples were divided into three groups: farms with the opened regimen and no usage of antimicrobials (F1; n = 10), farms with the closed regimen and usage of antimicrobials (F2; n = 16), and farms with the closed regimen and no usage of antimicrobials (F3; n = 2). The metagenomic evaluation was performed to obtain and identify genetic elements related to antimicrobial resistance using nanopore sequencing. We used ResistoXplorer software to perform composition, alpha and beta diversity, and clustering analysis. In addition, PCR reactions were performed to confirm the presence or absence of seven different beta-lactamase family genes and five phosphoethanolamine transferase gene variants clinically relevant. Our findings based on the identification of resistance genes at the mechanism level showed a prevalence of alteration of the drug target (72.3%) profile, followed by drug inactivation (17.5%) and drug efflux (10.1%). We identified predominantly aminoglycosides (45.3%), tetracyclines (15.9%), and multiclass (11,2%) resistance genes. PCoA analysis indicates differences between F1 and F2 profiles. F2 samples showed increased diversity when compared to the F1 group. In addition, herein we first report the identification of

Indexed as

Anti-Infective AgentsManureAnimalsAnti-Bacterial AgentsDrug Resistance, BacterialFarmsSwineAnti-Bacterial AgentsAnti-Infective AgentsManureanimal husbandryantimicrobial resistance (AMR)metagenomicsMinION nanopore device®NGS—next-generation sequencingOne Health (OH)Pigs (Sus domesticus)swine manure (SM)

Identifiers

PMID35860383
PMCPMC9289446
OpenAlexW4283802208

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.