Fecal microbiota of calves in the clinical setting: Effect of penicillin treatment

Grønvold, Anne Mette R.; Mao, Yuejian; L’Abée-Lund, Trine M.; Sørum, Henning; Sivertsen, Tore; Yannarell, Anthony C.; Mackie, Roderick I.

doi:10.1016/j.vetmic.2011.05.040

Cited by 12 publications

(11 citation statements)

References 26 publications

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“…As expected from previous work [34][35][36]56], we found a clear effect of antibiotic treatment on dung microbiota (F 1,23 ¼ 4.84, p ¼ 0.01; figure 1b; electronic supplementary material, figure S2), and this effect persisted even 23 days after defecation and sample collection (electronic supplementary material, figure S1c,d). As in other animal taxa that maintain individual-specific microbiota (e.g.…”

Section: (B) Effects Of Antibiotics On Dung and Dung Beetle Microbiotasupporting

confidence: 88%

Treating cattle with antibiotics affects greenhouse gas emissions, and microbiota in dung and dung beetles

et al. 2016

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Antibiotics are routinely used to improve livestock health and growth. However, this practice may have unintended environmental impacts mediated by interactions among the wide range of micro-and macroorganisms found in agroecosystems. For example, antibiotics may alter microbial emissions of greenhouse gases by affecting livestock gut microbiota. Furthermore, antibiotics may affect the microbiota of non-target animals that rely on dung, such as dung beetles, and the ecosystem services they provide. To examine these interactions, we treated cattle with a commonly used broad-spectrum antibiotic and assessed downstream effects on microbiota in dung and dung beetles, greenhouse gas fluxes from dung, and beetle size, survival and reproduction. We found that antibiotic treatment restructured microbiota in dung beetles, which harboured a microbial community distinct from those in the dung they were consuming. The antibiotic effect on beetle microbiota was not associated with smaller size or lower numbers. Unexpectedly, antibiotic treatment raised methane fluxes from dung, possibly by altering the interactions between methanogenic archaea and bacteria in rumen and dung environments. Our findings that antibiotics restructure dung beetle microbiota and modify greenhouse gas emissions from dung indicate that antibiotic treatment may have unintended, cascading ecological effects that extend beyond the target animal.

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Section: (B) Effects Of Antibiotics On Dung and Dung Beetle Microbiotasupporting

confidence: 88%

Treating cattle with antibiotics affects greenhouse gas emissions, and microbiota in dung and dung beetles

et al. 2016

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“…However, there is not always a simple link between the use of one antimicrobial and subsequent development of resistance toward the same antimicrobial. Studies of E. coli from horses and calves have shown that treatment with penicillin leads to increased phenotypic resistance to multiple unrelated antimicrobials (Grønvold et al, 2010;Grønvold et al, 2011). If similar, and still cryptic, relations between use and resistance also holds true for staphylococci, it may be one explanation of the high prevalence of observed trimethoprim and trimethoprimsulfonamide resistance.…”

Section: Discussionmentioning

confidence: 99%

Antimicrobial resistance and virulence characteristics in 3 collections of staphylococci from bovine milk samples

Fergestad

Visscher

L’Abée-Lund

et al. 2021

Journal of Dairy Science

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Mastitis is a prevalent disease in dairy cattle, and staphylococci are among the most common causative pathogens. Staphylococci can express resistance to a range of antimicrobials, of which methicillin resistance is of particular public health concern. Additionally, Staphylococcus aureus carries a variety of virulence factors, although less is understood about the virulence of non-aureus staphylococci (NAS). The aim of our study was to identify and characterize 3 collections of staphylococcal isolates from bovine milk samples regarding antimicrobial resistance, with emphasis on methicillin resistance, and their carriage of virulence genes typically displayed by Staph. aureus. A total of 272 staphylococcal isolates collected in Norway and Belgium in 2016 were included, distributed as follows: group 1, Norway, 100 isolates; group 2, Flanders, Belgium, 64 isolates; group 3, Wallonia, Belgium, 108 isolates. Species identification was performed by use of MALDI-TOF mass spectrometry. Phenotypic resistance was determined via disk diffusion, and PCR was used for detection of methicillin resistance genes, mecA and mecC, and virulence genes. Antimicrobial resistance was common in Staphylococcus epidermidis and Staphylococcus haemolyticus from all different groups, with resistance to trimethoprim-sulfonamide frequently occurring in Staph. epidermidis and Staph. haemolyticus as well as in Staph. aureus. Resistance to penicillin was most frequently observed in group 1. Ten Belgian isolates (1 from group 2, 9 from group 3) carried the methicillin resistance determinant mecA: 5 Staph. aureus from 2 different farms and 5 NAS from 3 different farms. Almost all Staph. aureus isolates were positive for at least 3 of the screened virulence genes, whereas, in total, only 8 NAS isolates harbored any of the same genes. Our study contributes to the continuous need for knowledge regarding staphylococci from food-producing animals as a basis for better understanding of occurrence of resistance and virulence traits in these bacteria.

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“…Whilst an impact of antimicrobial agents on calves has been demonstrated previously (Smith and Crabb, 1956;Grønvold et al, 2011), the potential changes in the faecal microbiota of healthy calves from farms having a marked reduction in antimicrobial treatment rates associated with the use of treatment algorithms has not been reported previously. The reduction in antimicrobial treatment rates and dietary changes on both farms after implementation of the algorithm were associated with decreased representation of members of the Phylum Proteobacteria (Family Enterobacteraceae and Genera Escherichia-Shigella) in the faecal flora of calves.…”

Section: Taxamentioning

confidence: 96%

Implementation of an algorithm for selection of antimicrobial therapy for diarrhoeic calves: Impact on antimicrobial treatment rates, health and faecal microbiota

Gómez

Arroyo

Poljak

et al. 2017

The Veterinary Journal

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This study evaluated the impact of an algorithm targeting antimicrobial therapy of diarrhoeic calves on the incidence of diarrhoea, antimicrobial treatment rates, overall mortality, mortality of diarrhoeic calves and changes in the faecal microbiota. The algorithm was designed to target antimicrobial therapy in systemically ill calves from on two dairy farms. Retrospective (farm 1: 529 calves; farm 2: 639 calves) and prospective (farm 1: 639 calves; farm 2: 842 calves) cohorts were examined for 12 months before and after implementation of the algorithm. The Mantel-Haenszel test and Kaplan-Meier survival curves were used to assess the cumulative incidence risk (CIR) and time to development of each outcome before and after implementation of the algorithm. The CIR of antimicrobial treatment rates was 80% lower after implementation of the algorithm on both farms (CIR 0.19, 95% confidence interval 0.17-0.21). There was no difference in the CIR of overall mortality, but the CRI for mortality of diarrhoeic calves was lower in the period after implementation of the algorithm on one farm. The faecal microbiota of 15 healthy calves from both farms at each time period were characterised using a sequencing platform targeting the V4 region of the 16S rRNA gene. On both farms, there were significant differences in community membership and structure (parsimony P<0.001). Use of the algorithm for treatment of diarrhoeic calves reduced antimicrobial treatment rates without a negative impact on the health of calves. However, the experimental design did not take into account the potential confounding effects of dietary changes between the study periods.

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Fecal microbiota of calves in the clinical setting: Effect of penicillin treatment

Cited by 12 publications

References 26 publications

Treating cattle with antibiotics affects greenhouse gas emissions, and microbiota in dung and dung beetles

Treating cattle with antibiotics affects greenhouse gas emissions, and microbiota in dung and dung beetles

Antimicrobial resistance and virulence characteristics in 3 collections of staphylococci from bovine milk samples

Implementation of an algorithm for selection of antimicrobial therapy for diarrhoeic calves: Impact on antimicrobial treatment rates, health and faecal microbiota

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