Antimicrobial Resistance Genes and Plasmids in Campylobacter jejuni from Broiler Production Chain in Southern Brazil

LWT ◽  
2021 ◽  
pp. 111202
Author(s):  
Natalie Rauber Kleinubing ◽  
Tassiana Ramires ◽  
Simone de Fátima Rauber Würfel ◽  
Louise Haubert ◽  
Leticia Klein Scheik ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Campylobacter Jejuni ◽  
Resistance Genes ◽  
Southern Brazil ◽  
Production Chain ◽  
Broiler Production ◽  
Antimicrobial Resistance Genes

scholarly journals Serotype distribution, antimicrobial susceptibility, antimicrobial resistance genes and virulence genes of Salmonella isolated from a pig slaughterhouse in Yangzhou, China

AMB Express ◽  
2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Quan Li ◽  
Jian Yin ◽  
Zheng Li ◽  
Zewei Li ◽  
Yuanzhao Du ◽  
...  
Keyword(s):  
Public Health ◽  
Antimicrobial Resistance ◽  
Resistance Genes ◽  
Antimicrobial Susceptibility ◽  
Virulence Genes ◽  
Multidrug Resistant ◽  
Resistance Rate ◽  
Economic Losses ◽  
Production Chain ◽  
Antimicrobial Resistance Genes

AbstractSalmonella is an important food-borne pathogen associated with public health and high economic losses. To investigate the prevalence and the characteristics of Salmonella in a pig slaughterhouse in Yangzhou, a total of 80 Salmonella isolates were isolated from 459 (17.43%) samples in 2016–2017. S. Derby (35/80, 43.75%) was the most prevalent, followed by S. Rissen (16/80, 20.00%) and S. Newlands (11/80, 13.75%). The highest rates of susceptibility were observed to cefoxitin (80/80, 100.0%) and amikacin (80/80, 100.0%), followed by aztreonam (79/80, 98.75%) and nitrofurantoin (79/80, 98.75%). The highest resistance rate was detected for tetracycline (65/80, 81.25%), followed by ampicillin (60/80, 75.00%), bactrim (55/80, 68.75%), and sulfisoxazole (54/80, 67.50%). Overall, 91.25% (73/80) of the isolates were resistant to at least one antibiotic, while 71.25% (57/80) of the isolate strains were multidrug resistant in the antimicrobial susceptibility tested. In addition, 86.36% (19/22) of the 22 antimicrobial resistance genes in the isolates were identified. Our data indicated that the resistance to certain antimicrobials was significantly associated, in part, with antimicrobial resistance genes. Furthermore, 81.25% (65/80) isolates harbored the virulence gene of mogA, of which 2 Salmonella Typhimurium isolates carried the mogA, spvB and spvC virulence genes at the same time. The results showed that swine products in the slaughterhouse were contaminated with multidrug resistant Salmonella commonly, especially some isolates carry the spv virulence genes. The virulence genes might facilitate the dissemination of the resistance genes to consumers along the production chain, suggesting the importance of controlling Salmonella during slaughter for public health.

scholarly journals Whole-Genome Sequences of Two Campylobacter coli Isolates from the Antimicrobial Resistance Monitoring Program in Colombia: TABLE 1 

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Johan F. Bernal ◽  
Pilar Donado-Godoy ◽  
María Fernanda Valencia ◽  
Maribel León ◽  
Yolanda Gómez ◽  
...  
Keyword(s):  
Multidrug Resistance ◽  
Antimicrobial Resistance ◽  
Campylobacter Jejuni ◽  
Resistance Genes ◽  
Monitoring Program ◽  
Campylobacter Coli ◽  
Whole Genome ◽  
Genome Sequences ◽  
Resistance Monitoring ◽  
Antimicrobial Resistance Genes

Campylobacter coli , along with Campylobacter jejuni , is a major agent of gastroenteritis and acute enterocolitis in humans. We report the whole-genome sequences of two multidrug-resistance C. coli strains, isolated from the Colombian poultry chain. The isolates contain a variety of antimicrobial resistance genes for aminoglycosides, lincosamides, fluoroquinolones, and tetracycline.

scholarly journals Isolation and antimicrobial resistance of Campylobacter jejuni and Campylobacter coli found in chilled chicken carcasses in the Federal District Region and surrounding areas

2019 ◽  
Vol 40 (5Supl1) ◽  
pp. 2247
Author(s):  
Patricia Renault Silva ◽  
Joana Marchesini Palma ◽  
Nara Rubia Souza ◽  
Helenira Melo de Moura ◽  
Simone Perecmanis ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Nalidixic Acid ◽  
Campylobacter Jejuni ◽  
Resistance Genes ◽  
Federal District ◽  
Occurrence Rate ◽  
Campylobacter Coli ◽  
Antimicrobial Resistance Genes ◽  
Polymerase Chain ◽  
Surrounding Areas

This study aimed to isolate Campylobacter jejuni and Campylobacter coli from chilled chicken carcasses marketed in the Federal District Region and surrounding areas, as well as to detect the occurrence of antimicrobial resistance and genes responsible for the same. A total of 105 chilled chicken carcasses were collected, of which 7 (6.67%) were positive for C. jejuni and 4 (3.81%) were positive for C. coli. These results were obtained using both the conventional microbiological isolation method and polymerase chain reaction assays. All of the positive strains were subjected to antimicrobial susceptibility testing for seven antimicrobials. The resistance incidences found in the C. jejuni strains were as follows: 71.43% for tetracycline and nalidixic acid, 42.86% for streptomycin and gentamicin, 57.14% for ciprofloxacin and erythromycin, and 28.57% for chloramphenicol. Among the C. coli strains, 100% were resistant to tetracycline and streptomycin, 75% were resistant to erythromycin, 50% were resistant to ciprofloxacin, gentamicin, and nalidixic acid, and no strains were resistant to chloramphenicol. While analyzing the presence of antimicrobial resistance genes in the isolated C. jejuni strains, the aph3-1 (resistance to aminoglycosides), aadE (resistance to streptomycin), and tet(O) (resistance to tetracycline) genes were identified, with occurrence rates of 57.14%, 28.57%, and 42.86%, respectively, whereas in the C. coli strains, there was a 25% occurrence rate for both the aph3-1 and tet(O) genes. The aadE gene was not found in the C. coli isolates. The results of this study demonstrated the presence of C. jejuni and C. coli in chilled chicken carcasses marketed in the Federal District Region and surrounding areas, as well as the antimicrobial resistance and the presence of resistance genes in these bacteria, which may pose threats to public health.

Distribution of Colonization and Antimicrobial Resistance Genes in Campylobacter jejuni Isolated from Chicken

2013 ◽  
Vol 10 (4) ◽  
pp. 382-391 ◽  
Author(s):  
Alexandre Thibodeau ◽  
Philippe Fravalo ◽  
Philippe Garneau ◽  
Luke Masson ◽  
Sylvette Laurent-Lewandowski ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Campylobacter Jejuni ◽  
Resistance Genes ◽  
Antimicrobial Resistance Genes

scholarly journals Culture-Independent Genotyping, Virulence and Antimicrobial Resistance Gene Identification of Staphylococcus aureus from Orthopaedic Implant-Associated Infections

2021 ◽  
Vol 9 (4) ◽  
pp. 707
Author(s):  
J. Christopher Noone ◽  
Fabienne Antunes Ferreira ◽  
Hege Vangstein Aamot
Keyword(s):  
Staphylococcus Aureus ◽  
Antimicrobial Resistance ◽  
Resistance Genes ◽  
Virulence Gene ◽  
Orthopaedic Implant ◽  
Metagenomic Sequencing ◽  
Gene Detection ◽  
Shotgun Metagenomic Sequencing ◽  
Antimicrobial Resistance Genes ◽  
Culture Independent

Our culture-independent nanopore shotgun metagenomic sequencing protocol on biopsies has the potential for same-day diagnostics of orthopaedic implant-associated infections (OIAI). As OIAI are frequently caused by Staphylococcus aureus, we included S. aureus genotyping and virulence gene detection to exploit the protocol to its fullest. The aim was to evaluate S. aureus genotyping, virulence and antimicrobial resistance genes detection using the shotgun metagenomic sequencing protocol. This proof of concept study included six patients with S. aureus-associated OIAI at Akershus University Hospital, Norway. Five tissue biopsies from each patient were divided in two: (1) conventional microbiological diagnostics and genotyping, and whole genome sequencing (WGS) of S. aureus isolates; (2) shotgun metagenomic sequencing of DNA from the biopsies. Consensus sequences were analysed using spaTyper, MLST, VirulenceFinder, and ResFinder from the Center for Genomic Epidemiology (CGE). MLST was also compared using krocus. All spa-types, one CGE and four krocus MLST results matched Sanger sequencing results. Virulence gene detection matched between WGS and shotgun metagenomic sequencing. ResFinder results corresponded to resistance phenotype. S. aureus spa-typing, and identification of virulence and antimicrobial resistance genes are possible using our shotgun metagenomics protocol. MLST requires further optimization. The protocol has potential application to other species and infection types.

scholarly journals Whole genome-based characterisation of antimicrobial resistance and genetic diversity in Campylobacter jejuni and Campylobacter coli from ruminants

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Medelin Ocejo ◽  
Beatriz Oporto ◽  
José Luis Lavín ◽  
Ana Hurtado
Keyword(s):  
Genetic Diversity ◽  
Antimicrobial Resistance ◽  
Campylobacter Jejuni ◽  
Resistance Genes ◽  
Campylobacter Coli ◽  
Whole Genome ◽  
Northern Spain ◽  
Sequence Alignments ◽  
Phenotypic Data ◽  
Wide Range

AbstractCampylobacter, a leading cause of gastroenteritis in humans, asymptomatically colonises the intestinal tract of a wide range of animals.Although antimicrobial treatment is restricted to severe cases, the increase of antimicrobial resistance (AMR) is a concern. Considering the significant contribution of ruminants as reservoirs of resistant Campylobacter, Illumina whole-genome sequencing was used to characterise the mechanisms of AMR in Campylobacter jejuni and Campylobacter coli recovered from beef cattle, dairy cattle, and sheep in northern Spain. Genome analysis showed extensive genetic diversity that clearly separated both species. Resistance genotypes were identified by screening assembled sequences with BLASTn and ABRicate, and additional sequence alignments were performed to search for frameshift mutations and gene modifications. A high correlation was observed between phenotypic resistance to a given antimicrobial and the presence of the corresponding known resistance genes. Detailed sequence analysis allowed us to detect the recently described mosaic tet(O/M/O) gene in one C. coli, describe possible new alleles of blaOXA-61-like genes, and decipher the genetic context of aminoglycoside resistance genes, as well as the plasmid/chromosomal location of the different AMR genes and their implication for resistance spread. Updated resistance gene databases and detailed analysis of the matched open reading frames are needed to avoid errors when using WGS-based analysis pipelines for AMR detection in the absence of phenotypic data.

Antimicrobial resistance genes are enriched in aerosols near impacted urban surface waters in La Paz, Bolivia

2021 ◽  
Vol 194 ◽  
pp. 110730
Author(s):  
Olivia Ginn ◽  
Dennis Nichols ◽  
Lucas Rocha-Melogno ◽  
Aaron Bivins ◽  
David Berendes ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Resistance Genes ◽  
Surface Waters ◽  
Urban Surface ◽  
La Paz ◽  
Antimicrobial Resistance Genes

scholarly journals 322. Evaluation of the BioFire® Bone and Joint Infection (BJI) Panel for the Detection of Microorganisms and Antimicrobial Resistance Genes in Synovial Fluid Specimens

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S233-S234
Author(s):  
Corrin Graue ◽  
Bryan H Schmitt ◽  
Amy Waggoner ◽  
Frederic Laurent ◽  
Lelia Abad ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Synovial Fluid ◽  
Resistance Genes ◽  
Clinical Care ◽  
Joint Infection ◽  
High Morbidity ◽  
Bone And Joint Infection ◽  
Microbiological Methods ◽  
Antimicrobial Resistance Genes ◽  
Wide Range

Abstract Background Bone and Joint Infections (BJIs) present with non-specific symptoms that may include pain, swelling, and fever and are associated with high morbidity and significant risk of mortality. BJIs can be caused by a variety of bacteria and fungi, including anaerobes and microorganisms that can be challenging to culture or identify by traditional microbiological methods. Clinicians primarily rely on culture to identify the pathogen(s) responsible for infection. The BioFire® Bone and Joint Infection (BJI) Panel (BioFire Diagnostics, Salt Lake City, UT) is designed to detect 15 gram-positive bacteria (including seven anaerobes), 14 gram-negative bacteria (including one anaerobe), two yeast, and eight antimicrobial resistance (AMR) genes from synovial fluid specimens in about an hour. The objective of this study was to evaluate the performance of an Investigational Use Only (IUO) version of the BioFire BJI Panel compared to various reference methods. Methods Remnant synovial fluid specimens, which were collected for routine clinical care at 13 study sites in the US and Europe, underwent testing using an IUO version of the BioFire BJI Panel. Performance of this test was determined by comparison to Standard of Care (SoC) consisting of bacterial culture performed at each study site according to their routine procedures. Results A total of 1544 synovial fluid specimens were collected and tested with the BioFire BJI Panel. The majority of specimens were from knee joints (77.9%) and arthrocentesis (79.4%) was the most common collection method. Compared to SoC culture, overall sensitivity was 90.2% and specificity was 99.8%. The BioFire BJI Panel yielded a total of 268 Detected results, whereas SoC yielded a total of 215 positive results for on-panel analytes. Conclusion The BioFire BJI Panel is a sensitive, specific, and robust test for rapid detection of a wide range of analytes in synovial fluid specimens. The number of microorganisms and resistance genes included in the BioFire BJI Panel, together with a reduced time-to-result and increased diagnostic yield compared to culture, is expected to aid in the timely diagnosis and appropriate management of BJIs. Disclosures Benjamin von Bredow, PhD, BioFire (Grant/Research Support) Jennifer Dien Bard, PhD, BioFire Diagnostic (Consultant, Scientific Research Study Investigator) Bart Kensinger, PhD, BioFire Diagnostics (Employee) Benedicte Pons, PhD, bioMerieux SA (Employee) Corinne Jay, PhD, bioMerieux SA (Employee)

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