scholarly journals Danofloxacin Treatment Alters the Diversity and Resistome Profile of Gut Microbiota in Calves

2021 ◽  
Vol 9 (10) ◽  
pp. 2023
Author(s):  
Ashenafi Feyisa Beyi ◽  
Debora Brito-Goulart ◽  
Tyler Hawbecker ◽  
Clare Slagel ◽  
Brandon Ruddell ◽  
...  
Keyword(s):  
Single Dose ◽  
Antimicrobial Resistance ◽  
16S Rrna ◽  
Gut Microbiota ◽  
Resistance Genes ◽  
Post Treatment ◽  
Quantitative Real Time Pcr ◽  
Antimicrobial Resistance Genes ◽  
Rrna Sequencing ◽  
Bovine Respiratory Disease Complex

Fluoroquinolones, such as danofloxacin, are used to control bovine respiratory disease complex in beef cattle; however, little is known about their effects on gut microbiota and resistome. The objectives were to evaluate the effect of subcutaneously administered danofloxacin on gut microbiota and resistome, and the composition of Campylobacter in calves. Twenty calves were injected with a single dose of danofloxacin, and ten calves were kept as a control. The effects of danofloxacin on microbiota and the resistome were assessed using 16S rRNA sequencing, quantitative real-time PCR, and metagenomic Hi-C ProxiMeta. Alpha and beta diversities were significantly different (p < 0.05) between pre-and post-treatment samples, and the compositions of several bacterial taxa shifted. The patterns of association between the compositions of Campylobacter and other genera were affected by danofloxacin. Antimicrobial resistance genes (ARGs) conferring resistance to five antibiotics were identified with their respective reservoirs. Following the treatment, some ARGs (e.g., ant9, tet40, tetW) increased in frequencies and host ranges, suggesting initiation of horizontal gene transfer, and new ARGs (aac6, ermF, tetL, tetX) were detected in the post-treatment samples. In conclusion, danofloxacin induced alterations of gut microbiota and selection and enrichment of resistance genes even against antibiotics that are unrelated to danofloxacin.

scholarly journals Metagenomic characterization of the effect of feed additives on the gut microbiome and antibiotic resistome of feedlot cattle

2017 ◽  
Author(s):  
Milton Thomas ◽  
Megan Webb ◽  
Sudeep Ghimire ◽  
Amanda Blair ◽  
Kenneth Olson ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Gut Microbiota ◽  
Resistance Genes ◽  
Feedlot Cattle ◽  
Feed Additives ◽  
Gastrointestinal Microbiota ◽  
Finishing Diets ◽  
Antimicrobial Resistance Genes ◽  
Metagenome Sequencing ◽  
The Impact

AbstractIn North America, antibiotic feed additives such as monensin and tylosin are added to the finishing diets of feedlot cattle to counter the ill-effects of feeding diets with rapidly digestible carbohydrates. While these feed additives have been proven to improve feed efficiency, and reduce liver abscess incidence, how these products impact the gastrointestinal microbiota is not completely understood. Furthermore, there are concerns that antibiotic feed additives may expand the antibiotic resistome of feedlot cattle by enriching antimicrobial resistance genes in pathogenic and nonpathogenic bacteria in the gut microbiota. In this study, we analyzed the impact of providing antibiotic feed additives to feedlot cattle using metagenome sequencing of treated and untreated animals. Our results indicate that use of antibiotic feed additives does not produce discernable changes at the phylum level however treated cattle had reduced the abundance of gram-positive bacteria at the genus level. The abundance of Ruminococcus, Erysipelotrichaceae and Lachanospira in the gut of treated steers was reduced. This may impact the ability of these animals to exclude pathogens from the gut. However, our results did not show any correlation between the presence of antimicrobial resistance genes in the gut microbiota and the administration of antibiotic feed additives.

scholarly journals Diverse Bacterial Resistance Genes Detected in Fecal Samples From Clinically Healthy Women and Infants in Australia—A Descriptive Pilot Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Vanina Guernier-Cambert ◽  
Anthony Chamings ◽  
Fiona Collier ◽  
Soren Alexandersen
Keyword(s):  
Antimicrobial Resistance ◽  
Gut Microbiota ◽  
Resistance Genes ◽  
Bacterial Resistance ◽  
Resistance Pattern ◽  
Shotgun Metagenomics ◽  
Fecal Samples ◽  
South Eastern ◽  
Healthy Humans ◽  
Antimicrobial Resistance Genes

The gut microbiota is an immense reservoir of antimicrobial resistance genes (ARGs), the so-called “resistome.” In Australia, where antibiotic use is high and resistance rates in some common pathogens are increasing, very little is known about the human resistome. To assess the presence and diversity of ARGs in the gut of Australians from south-eastern Victoria, we investigated fecal samples from clinically healthy infants and pregnant women using non-targeted (shotgun metagenomics sequencing or SMS) and targeted sequencing (two Ion AmpliseqTM panels). All methods detected ARGs in all samples, with the detection overall of 64 unique genes conferring resistance to 12 classes of antibiotics. Predominant ARGs belonged to three classes of antibiotics that are the most frequently prescribed in Australia: tetracycline, β-lactams and MLSB (macrolide, lincosamide, streptogramin B). The three bacterial Orders commonly identified as carrying ARGs were Clostridiales, Bacteroidales, and Enterobacteriales. Our preliminary results indicate that ARGs are ubiquitously present and diverse among the gut microbiota of clinically healthy humans from south-eastern Victoria, Australia. The observed resistance pattern partly overlaps with antimicrobial usage in human medicine in Australia, but ARGs to tetracycline are more common than could be expected. Our current sample is small and limited to south-eastern Victoria, and more data on healthy individuals will be needed to better depict resistance patterns at the population level, which could guide population and/or environmental monitoring and surveillance of antibiotic resistance on various spatio-temporal scales in Australia. For future studies, we recommend using the Ion AmpliseqTM Antimicrobial Resistance Research panel, which is sensitive and user-friendly, or combining several methods to increase the detected diversity.

scholarly journals Microbiome and Antimicrobial Resistance Gene Dynamics in International Travelers

2018 ◽  
Author(s):  
Charles Langelier ◽  
Michael Graves ◽  
Katrina Kalantar ◽  
Saharai Caldera ◽  
Robert Durrant ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Antimicrobial Resistance ◽  
Gut Microbiota ◽  
Microbial Communities ◽  
Resistance Gene ◽  
Resistance Genes ◽  
Antimicrobial Resistance Genes ◽  
Antimicrobial Resistance Gene ◽  
Global Exchange ◽  
Generation Sequencing

AbstractWe engaged metagenomic next generation sequencing to longitudinally assess the gut microbiota and antimicrobial resistomes of international travelers to understand global exchange of resistant organisms. Travel resulted in an increase in antimicrobial resistance genes and a greater proportion of Escherichia species within gut microbial communities without impacting diversity.

scholarly journals Influence of Human Eating Habits on Antimicrobial Resistance Phenomenon: Aspects of Clinical Resistome of Gut Microbiota in Omnivores, Ovolactovegetarians, and Strict Vegetarians

Antibiotics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 276
Author(s):  
Suzane Fernandes da Silva ◽  
Isabela Brito Reis ◽  
Melina Gabriela Monteiro ◽  
Vanessa Cordeiro Dias ◽  
Alessandra Barbosa Ferreira Machado ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Gut Microbiota ◽  
Resistance Genes ◽  
Eating Habits ◽  
Caloric Intake ◽  
Human Gut ◽  
Anthropometric Parameters ◽  
Pcr Screening ◽  
Human Gut Microbiota ◽  
Antimicrobial Resistance Genes

The use of xenobiotics in food production and how food intake is carried out in different cultures, along with different eating habits (omnivorism (ON), ovolactovegetarianism (VT), and strict vegetarianism (VG)) seem to have implications for antimicrobial resistance, especially in the human gut microbiota. Thus, the aim of this study was to evaluate aspects of the clinical resistome of the human gut microbiota among healthy individuals with different eating habits. Volunteers were divided into 3 groups: n = 19 omnivores (ON), n = 20 ovolactovegetarians (VT), and n = 19 strict vegetarians (VG), and nutritional and anthropometric parameters were measured. Metagenomic DNA from fecal samples was used as a template for PCR screening of 37 antimicrobial resistance genes (ARG) representative of commonly used agents in human medicine. The correlation between eating habits and ARG was evaluated. There were no significant differences in mean caloric intake. Mean protein intake was significantly higher in ON, and fiber and carbohydrate consumption was higher in VG. From the screened ARG, 22 were detected. No clear relationship between diets and the occurrence of ARG was observed. Resistance genes against tetracyclines, β-lactams, and the MLS group (macrolides, lincosamides, and streptogramins) were the most frequent, followed by resistance genes against sulfonamides and aminoglycosides. Vegetables and minimally processed foods seem to be the main source of ARG for the human gut microbiota. Although eating habits vary among individuals, the open environment and the widespread ARG from different human activities draw attention to the complexity of the antimicrobial resistance phenomenon which should be addressed by a One Health approach.

The Role of Gut Microbiota in Antimicrobial Resistance: A Mini-Review

2020 ◽  
Vol 18 (3) ◽  
pp. 201-206
Author(s):  
Farzaneh Firoozeh ◽  
Mohammad Zibaei
Keyword(s):  
Antimicrobial Resistance ◽  
Gut Microbiota ◽  
Resistance Genes ◽  
Pathogenic Bacteria ◽  
Bacterial Species ◽  
Resistant Bacteria ◽  
Human Gut ◽  
Opportunistic Bacteria ◽  
Antimicrobial Resistance Genes ◽  
Opportunistic Pathogenic

In the current world, development and spread of antimicrobial resistance among bacteria have been raised and antimicrobial-resistant bacteria are one of the most important health challenges. The antimicrobial resistance genes can easily move and transfer among diverse bacterial species and strains. The human gut microbiota consists of a dense microbial population including trillions of microorganisms. Recently, studies have shown that the bacteria which make the major part of gut microbiota, harbor a variety of antimicrobial resistance genes which are called gut resistome. The transfer of resistance genes from commensal bacteria to gut-resident opportunistic bacteria may involve in the emergence of multi-drug resistant (MDR) bacteria. Thus, the main aim of the current mini-review was to study the mechanisms of exchange of antimicrobial resistance genes by commensal and opportunistic pathogenic bacteria in the human gut.

scholarly journals LB15. SER-109, an Investigational Microbiome Therapeutic, Reduces Abundance of Antimicrobial Resistance Genes in Patients with Recurrent Clostridioides difficile Infection (rCDI) after Standard-of-Care Antibiotics

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S812-S813
Author(s):  
Timothy J Straub ◽  
Liyang Diao ◽  
Christopher Ford ◽  
Matthew Sims ◽  
Thomas J Louie ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Relative Abundance ◽  
Resistance Genes ◽  
Panel Member ◽  
Standard Of Care ◽  
Post Treatment ◽  
Research Support ◽  
Independent Contractor ◽  
Review Panel ◽  
Antimicrobial Resistance Genes

Abstract Background The gastrointestinal microbiota is the first line of defense against colonization with antimicrobial resistant (AR) bacteria, particularly in vulnerable hosts with frequent antibiotic exposure. In a double-blind Phase 3 trial of rCDI patients, SER-109, an orally formulated consortia of purified Firmicutes spores, was superior to placebo in reducing CDI recurrence at week 8 post clinical resolution on standard-of-care (SoC) antibiotics. Overall recurrence rates were lower in SER-109 vs placebo (12.4% vs 39.8%, respectively) relative risk, 0.32 [95% CI, 0.18–0.58; p&lt; 0.001 for RR&lt; 1.0; p&lt; 0.001 for RR&lt; 0.833]. This is a post-hoc analysis examining the impact of SER-109 on antimicrobial resistance genes (ARGs) abundance in the intestinal microbiota compared to placebo. Methods Subjects with rCDI received SoC antibiotics, then were randomized 1:1 to SER-109 or placebo at baseline. Of 182 subjects, 140 who had paired stool samples at baseline and 1-week post-treatment were included in this analysis. ARG abundances and taxonomic profiles were generated from whole metagenomic shotgun sequencing. t-tests were used to compare changes in ARG abundance from baseline; mixed linear models were used to associate ARG and taxon abundances across time points. Results ARG abundance was reduced overall by week 1, with a significantly greater decrease in SER-109 subjects vs. placebo at week 1 (Fig. 1). Proteobacteria relative abundance were positively correlated with ARG abundance across all samples (Fig. 2), with the Enterobacteriaceae family associated with the abundance of 95 ARGs (all p &lt; 0.05). Enterococcaceae relative abundance was associated with glycopeptide AR abundance (p &lt; 0.001). At week 1, Proteobacteria relative abundance was significantly decreased from baseline in SER-109 subjects vs. placebo (p &lt; 0.001). Enterobacteriaceae and Enterococcaceae relative abundances were also decreased from baseline in SER-109 subjects vs. placebo (p &lt; 0.001 and p = 0.007, respectively). Figure 1. Significant reduction in ARG abundance at week 1 from baseline in SER-109 treatment compared to placebo. Figure 2. Total ARG abundance is associated with the relative abundance of Proteobacteria in SER-109 and placebo subjects at baseline and week 1. Conclusion SER-109 was associated with significantly greater reduction of ARGs and AR bacteria abundances compared to placebo at 1 week post treatment. These findings support a potential role of microbiome therapeutics in rapid decolonization of AR bacteria with implications for infection prevention. Disclosures Timothy J. Straub, MS, Seres Therapeutics (Employee) Liyang Diao, PhD, Seres Therapeutics (Employee) Christopher Ford, PhD, Seres Therapeutics (Employee, Shareholder) Matthew Sims, MD, PhD, Astra Zeneca (Independent Contractor)Diasorin Molecular (Independent Contractor)Epigenomics Inc (Independent Contractor)Finch (Independent Contractor)Genentech (Independent Contractor)Janssen Pharmaceuticals NV (Independent Contractor)Kinevant Sciences gmBH (Independent Contractor)Leonard-Meron Biosciences (Independent Contractor)Merck and Co (Independent Contractor)OpGen (Independent Contractor)Prenosis (Independent Contractor)Regeneron Pharmaceuticals Inc (Independent Contractor)Seres Therapeutics Inc (Independent Contractor)Shire (Independent Contractor)Summit Therapeutics (Independent Contractor) Thomas J. Louie, MD, Artugen (Advisor or Review Panel member)Crestone (Consultant, Grant/Research Support)Da Volterra (Advisor or Review Panel member)Finch Therapeutics (Grant/Research Support, Advisor or Review Panel member)MGB Biopharma (Grant/Research Support, Advisor or Review Panel member)Rebiotix (Consultant, Grant/Research Support)Seres Therapeutics (Consultant, Grant/Research Support)Summit PLC (Grant/Research Support)Vedanta (Grant/Research Support, Advisor or Review Panel member) Colleen S. Kraft, MD, MSc, Rebiotix (Individual(s) Involved: Self): Advisor or Review Panel member Stuart H. Cohen, MD, Seres (Research Grant or Support) Stuart H. Cohen, MD, Nothing to disclose Mary-Jane Lombardo, PhD, Seres Therapeutics (Employee, Shareholder) Barbara McGovern, MD, Seres Therapeutics (Employee, Shareholder) Lisa von Moltke, MD, Seres Therapeutics (Employee, Shareholder) Matt Henn, PhD, Seres Therapeutics (Employee, Shareholder)

scholarly journals The fecal resistome of dairy cattle is associated with diet during nursing

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Jinxin Liu ◽  
Diana H. Taft ◽  
Maria X. Maldonado-Gomez ◽  
Daisy Johnson ◽  
Michelle L. Treiber ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Gut Microbiota ◽  
Dairy Cattle ◽  
Resistance Genes ◽  
Early Life ◽  
Dairy Calves ◽  
Health Concern ◽  
Metagenomic Sequencing ◽  
Global Public Health ◽  
Antimicrobial Resistance Genes

Abstract Antimicrobial resistance is a global public health concern, and livestock play a significant role in selecting for resistance and maintaining such reservoirs. Here we study the succession of dairy cattle resistome during early life using metagenomic sequencing, as well as the relationship between resistome, gut microbiota, and diet. In our dataset, the gut of dairy calves serves as a reservoir of 329 antimicrobial resistance genes (ARGs) presumably conferring resistance to 17 classes of antibiotics, and the abundance of ARGs declines gradually during nursing. ARGs appear to co-occur with antibacterial biocide or metal resistance genes. Colostrum is a potential source of ARGs observed in calves at day 2. The dynamic changes in the resistome are likely a result of gut microbiota assembly, which is closely associated with diet transition in dairy calves. Modifications in the resistome may be possible via early-life dietary interventions to reduce overall antimicrobial resistance.

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.

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