<i>Enterobacteriaceae</i>

Brenner, Don J.; Farmer, Jim J

doi:10.1002/9781118960608.fbm00222

Cited by 52 publications

(40 citation statements)

References 29 publications

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“…Genera Alterococcus, Brenneria, Buttiauxella, Cedecea, Citrobacter, Edwardsiella, Erwinia, Escherichia, Leminorella, Pantoea, Pectobacterium, Photorhadus, Salmonella, Serratia, Shigella, Xenorhabdu, and Yersisna are some of the best-known members of the Enterobacteriaceae family. All require glucose, vitamins and amino acids for growth [50]; however, the unclassified member of the family Enterobacteriaceae detected in the present study was not significantly influenced by diet (p = 0.41), protease (p = 0.21), or their interaction (p = 0.14).…”

Section: Microbial Composition Of Excreta Microbiotacontrasting

confidence: 73%

Effect of Supplemental Protease on Growth Performance and Excreta Microbiome of Broiler Chicks

et al. 2020

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One-day-old chicks were assigned one of four dietary treatments in a 2 × 2 factorial design in which the main effects were diet (adequate vs. low protein) and the addition of protease (0 vs. 200 g/1000 kg of feed). Chick performance (days 0–14) was recorded and their excreta were analyzed for short chain fatty acids, ammonia, and composition of the microbiota using 16S rRNA gene sequencing. Birds fed the low protein diet had lower body weight gain and poorer overall feed conversion ratio (FCR) (p ≤ 0.04); however, these parameters were not affected by the inclusion of protease (p ≥ 0.27). Protease inclusion did not affect any particular bacterial genus in the excreta, but it increased the total number of observed OTUs (p = 0.04) and Faith’s phylogenetic diversity (p = 0.05). Abundance of Proteus and Acinetobacter were lower in the excreta of chicks fed the low protein diet (p = 0.01). Abundance of Bacteroides was associated with poorer FCR, while Proteus was associated with improved FCR (p ≤ 0.009). Although diet had a stronger impact than protease on chick performance, both diet and protease yielded some changes in the intestinal microbiotas of the birds.

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Section: Microbial Composition Of Excreta Microbiotacontrasting

confidence: 73%

Effect of Supplemental Protease on Growth Performance and Excreta Microbiome of Broiler Chicks

et al. 2020

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“…Sampling was carried out according to the guidelines for the diagnosis of fish diseases and considering international guidelines for animal welfare [27]. The biochemical characteristics of all isolates were determined using conventional microbial tests such as colony morphology, color upon Gram staining, oxidase and catalase activities, oxidative fermentation (O/F), growth on different media, and different temperature conditions [28, 29]. Detailed biochemical characteristics of isolates were determined by using API ID 20NE (bioMérieux, Marcy l’Etoile, France) according to the user’s manual.…”

Section: Methodsmentioning

confidence: 99%

Molecular characterization and antimicrobial resistance profile of fecal contaminants and spoilage bacteria that emerge in rainbow trout (<i>Oncorhynchus mykiss</i>) farms

Duman

Satıcıoğlu

Altun

2019

Bioscience of Microbiota, Food and Health

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Fecal contaminants are a major public concern that directly affect human health in the fish production industry. In this study, we aimed to determine the fecal coliform, spoilage bacteria, and antimicrobial-resistant bacterial contamination in rainbow trout ( Oncorhynchus mykiss) farms. Fish were sampled from rainbow trout farms that have a high production capacity and are established on spring water, stream water, and dammed lakes in six different regions of Turkey. A total of seven Enterobacter subspecies, two strains of Pseudomonas spp., and one isolate each of Morganella and Stenotrophomonas were characterized based on biochemical and molecular methods, including the 16S rRNA and gyr B housekeeping gene regions. The sequencing results obtained from the 16S rRNA and gyr B gene regions were deposited in the GenBank database and compared with isolates from different countries, which were registered in the database. Resistance to 10 different antimicrobial compounds was determined using the broth microdilution method, and molecular resistance genes against florfenicol, tetracycline, and sulfamethoxazole were identified by PCR. All detected resistance genes were confirmed by sequencing analyses. E. cloacae , E. asburiae , Pseudomonas spp., S. maltophilia, and M. psychrotolerans were identified using the gyr B housekeeping gene, while isolates showed different biochemical characteristics. All isolates were found to be phenotypically resistant to sulfamethoxazole, and some isolates were resistant to tetracycline, florfenicol, amoxicillin, and doxycycline; the resistance genes of these isolates included flo R, tet C, tet D, and tet E. We showed that fecal coliforms, spoilage bacteria, and antimicrobial resistant bacteria were present in farmed rainbow trout, and they pose a threat for human health and must be controlled in the farming stage of fish production.

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“…Each E. coli strain was isolated from a pool of 10 feces samples collected in different sections of each barn. All samples were placed into boxes containing ice packs and immediately transported to the laboratory to isolate the microorganism by culture on non-antibiotic-supplemented MacConkey agar plates at 37°C for 18–24 h. Isolates were initially selected by the morphology of the colonies and further identified by standard biochemical tests (Brenner and Farmer, 2015 ). According to the size of the farms, a fixed number of isolates were arbitrarily selected: 2 isolates from small (less than 50,000 birds), 3 from medium (between 50,000 and 150,000 birds) and 6 from large (more than 150,000 birds) farms.…”

Section: Methodsmentioning

confidence: 99%

Simultaneous Carriage of mcr-1 and Other Antimicrobial Resistance Determinants in Escherichia coli From Poultry

et al. 2018

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The use of antimicrobial growth promoters (AGPs) in sub-therapeutic doses for long periods promotes the selection of resistant microorganisms and the subsequent risk of spreading this resistance to the human population and the environment. Global concern about antimicrobial resistance development and transference of resistance genes from animal to human has been rising. The goal of our research was to evaluate the susceptibility pattern to different classes of antimicrobials of colistin-resistant Escherichia coli from poultry production systems that use AGPs, and characterize the resistance determinants associated to transferable platforms. E. coli strains (n = 41) were obtained from fecal samples collected from typical Argentine commercial broiler farms and susceptibility for 23 antimicrobials, relevant for human or veterinary medicine, was determined. Isolates were tested by PCR for the presence of mcr-1, extended spectrum β-lactamase encoding genes and plasmid-mediated quinolone resistance (PMQR) coding genes. Conjugation and susceptibility patterns of the transconjugant studies were performed. ERIC-PCR and REP-PCR analysis showed a high diversity of the isolates. Resistance to several antimicrobials was determined and all colistin-resistant isolates harbored the mcr-1 gene. CTX-M-2 cefotaximase was the main mechanism responsible for third generation cephalosporins resistance, and PMQR determinants were also identified. In addition, co-transference of the qnrB determinant on the mcr-1-positive transconjugants was corroborated, which suggests that these resistance genes are likely to be located in the same plasmid. In this work a wide range of antimicrobial resistance mechanisms were identified in E. coli strains isolated from the environment of healthy chickens highlighting the risk of antimicrobial abuse/misuse in animals under intensive production systems and its consequences for public health.

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Enterobacteriaceae

Cited by 52 publications

References 29 publications

Effect of Supplemental Protease on Growth Performance and Excreta Microbiome of Broiler Chicks

Effect of Supplemental Protease on Growth Performance and Excreta Microbiome of Broiler Chicks

Molecular characterization and antimicrobial resistance profile of fecal contaminants and spoilage bacteria that emerge in rainbow trout (<i>Oncorhynchus mykiss</i>) farms

Simultaneous Carriage of mcr-1 and Other Antimicrobial Resistance Determinants in Escherichia coli From Poultry

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