Quantification of the bacterial flora and its major constituents on the abdominal skin of clinically healthy dogs

Richard G. Harvey Willows Referral Services, Shirley, Solihull, UK

Search for other papers by Richard G. Harvey in
Current site
Google Scholar
PubMed
Close
 BVSc PhD
,
David Duclos Animal Skin and Allergy Clinic, Lynnwood, WA

Search for other papers by David Duclos in
Current site
Google Scholar
PubMed
Close
 DVM, DACVD
,
Janina Krumbeck MiDOG LLC, Irvine, CA
Zymo Research Corporation, Irvine, CA

Search for other papers by Janina Krumbeck in
Current site
Google Scholar
PubMed
Close
 PhD
, and
Shuiquan Tang MiDOG LLC, Irvine, CA
Zymo Research Corporation, Irvine, CA

Search for other papers by Shuiquan Tang in
Current site
Google Scholar
PubMed
Close
 PhD

Abstract

OBJECTIVE

To report the density, and the major constituents, of the bacteria on the skin surface of healthy dogs and to assess if scraping the skin before sampling was necessary.

ANIMALS

20 healthy dogs were recruited for the study, with informed consent in all cases.

METHODS

Flocked swabs were used to sample the skin surface and to sample the skin surface after superficial scraping with a blunted spatula. Both samples were taken within a brass guide of 3.5 cm−2 area. Next-generation 16S rRNA sequencing was used to identify and quantify components of the bacterial microbiome.

RESULTS

The median density of the bacterial microbiome on the ventral abdomen of 20 healthy dogs was approximately 1.1 X 105 cm−2 (IQR 1.22 X 104, 1.6 X 105 cm−2). Sphingomonas species were isolated on 17 of the 20 dogs and Corynebacterium kroppstedtii from 15.

CLINICAL RELEVANCE

This is the first study to report the density of the canine skin microbiome. Superficial scraping of the skin before swabbing does not affect the result of sampling the microbiome in healthy dogs. These results will increase our understanding of the biology of canine skin.

Abstract

OBJECTIVE

To report the density, and the major constituents, of the bacteria on the skin surface of healthy dogs and to assess if scraping the skin before sampling was necessary.

ANIMALS

20 healthy dogs were recruited for the study, with informed consent in all cases.

METHODS

Flocked swabs were used to sample the skin surface and to sample the skin surface after superficial scraping with a blunted spatula. Both samples were taken within a brass guide of 3.5 cm−2 area. Next-generation 16S rRNA sequencing was used to identify and quantify components of the bacterial microbiome.

RESULTS

The median density of the bacterial microbiome on the ventral abdomen of 20 healthy dogs was approximately 1.1 X 105 cm−2 (IQR 1.22 X 104, 1.6 X 105 cm−2). Sphingomonas species were isolated on 17 of the 20 dogs and Corynebacterium kroppstedtii from 15.

CLINICAL RELEVANCE

This is the first study to report the density of the canine skin microbiome. Superficial scraping of the skin before swabbing does not affect the result of sampling the microbiome in healthy dogs. These results will increase our understanding of the biology of canine skin.

The importance of the canine normal bacterial microbiome vis a vis the innate immune system is becoming more and more apparent, both in terms of cutaneous homeostasis1,2, and atopic dermatitis, both in humans and dogs.35 The cutaneous microbiome is also important in the etiopathogenesis of, and protection against, canine pyoderma.6,7 Although the distribution,811 and, to some extent, the dynamics of the microbiome of the dog’s skin are understood,6,12 there is little quantitative data on the density of the normal flora, merely its constituents. Allaker et al12 reported a cup scrub method, expressing the mean density of bacteria on the ventral abdomen of ten healthy dogs as 2.02 log colony forming units (CFU) cm−2 (circa 104.71 CFU cm−2). They also reported that coagulase-negative Staphylococci were more likely found on the hairs of the shoulder and rump than on the skin of the ventral abdomen.

The constituents of the canine normal microbiome, using 16s rRNA next-generation sequencing, have been published.11,1323 The constituents have been reported to vary strongly between individuals,14,15,23 with the presence of cohabiting family members,20 diet,21 and both topical and systemic treatment.14,17,22 There is, however, a strong, species-dependent, core microbiome, which has been discussed elsewhere.13,23

Using a 50% relative species prevalence, in a temporal study, as an indicator of being a core member of the cutaneous bacterial community, it was proposed that Propionibacterium acnes (Syn Cutibacterium acnes), Haemophilus species, and Corynebacterium species be so considered.23 The authors pointed out that other researchers found different results. For example, Rodrigues Hoffmann et al,13 found Ralstonia species, Moraxella species, and Porphyromonas species as the most abundant core members. Thus, highlighting the necessity of recognizing the potential for marked individual variation.

Studies assessing the microbiome of the dog’s skin have traditionally used a cotton swab, although cup-scrub methods were developed, and used, to allow quantitative results.24 Cup-scrubbing of the skin was originally envisaged to yield samples for culture-based methodology.24 Although cup-scrubbing has been used in microbiome studies,25,26 it might be considered impractical for clinically based studies.

Using 16s rRNA next generations sequencing technology the breadth and complexity of the canine cutaneous microflora has become apparent. It has been estimated11 that only about 1% of all microorganisms comprising the skin microbiome are, in fact, culturable.

A comparison of swab types for collection and recovery of organisms from the skin found flocked swabs superior to those made of cotton.27 In humans, approximately 85% of skin bacteria are located within the upper 6 layers of the stratum corneum.28 Recently, Duclos and colleagues published a technique, whereby a blunted spatula scraped away the first few layers of epidermis, wherein most of the flora lies,29 before sampling. Using light microscopy it was concluded that more bacteria were collected using this technique, than by, for example, simply using a swab, tape, or impression smears.29

Comparative studies from human skin30,31 showed that a swab was calculated to collect circa 10,000 bacteria cm−2, a scrape method would yield circa 50,000 cm−2, and a biopsy sample of 1,000,000 cm−2. These studies comparing swab, scrape, and biopsy, and between swabbing and tape stripping, concluded that all methods were comparable with regard to sampling the diversity of the skin microbiota, but were not comparable with regard to yield of cultivable organisms.30,31

The density of the microbiome on human skin has been stated as between 1.1 X 103 and 4.4 X 106 cm−2, using a swab and culture.32,33 Ihrke and Schwartzman, using a swab and culture and contact plates,34 calculated the cutaneous bacterial count bacteria on healthy canine skin as circa 350 cm−2. These numbers for the density of the bacterial microbiome on the canine skin are considered an understatement, particularly when compared with human studies, in which 16S rRNA next-generation technology was used.35

Significant updates in guidelines for the treatment of canine pyoderma have been suggested, and these highlight the urgent need to reduce antibacterial usage.3639 Patently, a knowledge of the density of the cutaneous flora would be helpful when developing antimicrobial treatments, both systemic and topical, for it would allow a quantitative measurement of the effect on the cutaneous microbiome, in addition to a clinical assessment.

This study was undertaken to assess the density of the canine normal bacterial microbiome on the ventral abdomen of normal dogs, and its major constituents, using next-generation DNA sequencing, and to assess if a superficial scrape before swabbing affected the results.

Methods

The methods used in the study were comprehensively described in the accompanying paper describing the mycobiome of the 20 healthy dogs. The only difference relates to the primer sequence, and the absolute microbial quantification methodology, which targeted the 16S rRNA V1–V3 region for bacteriome analysis as previously described.11

Statistical Analysis

The statistical analysis was performed using Stata version 15.1. The outcome variable was the number of bacteria cm−2 obtained from the swabs of the ventral abdomen. An examination of the distribution of the measurements suggested that these were positively skewed, with smaller measurements and a small number of large measurements; the P value was 0.05.

As the 2 swab samples came from the same dog, this gives rise to paired data. Due to the distribution of the outcome values, the Wilcoxon matched pairs test was used for the analysis.

Results

There were 9 males and 11 females, with a mean age of 4.9 years (range = 9 months to 12 years). There were 20 A samples and 20 B samples.

There were 151 species of bacteria identified. Seventeen species were found on 3 or more dogs and these are listed, ranked (Table 1). The median bacterial count on the A samples was 5.2 X 104 cm−2 (IQR 18426, 95142), and the median bacterial count from the B samples was 5.5 X 104 cm−2 (IQR 13622, 162841), giving a total count of 1.07 X 105 cm−2 (IQR 1.22 X 104, 1.6 X 105 cm−2). The statistical analysis suggested no statistically significant difference between the 2 swab methods; the P was 0.17.

Table 1

Summary of the 17 species of bacteria found on 3 or more of the 20 normal dogs, their prevalence (P) and abundance (A).

Species of bacteria P A, mean (IQR) Notes
Sphingomonas spp 17 460 (158, 1806) Member of core flora?
Corynebacterium kroppstedtii 15 650 (317.5, 3475) Member of core flora23
Nocardioides spp 12 680 (247.5, 1300) Environmental45
Sphingomonas aerulata 11 330 (145, 588) Member of core flora?
Sphingomonas aurantica-faeni 8 280 (205, 655) Member of core flora?
Rothia kristinae 7 370 (190, 420) Normal flora, man48
Cutibacterium acnes 6 3450 (2275, 3825) Normal flora dog23
Conchiformibius steedae 6 310 (225, 3500) Dog oral cavity46
Porphyromonas spp 5 280 (190, 420) Member of core flora23
Knoella spp 5 1150 (820, 2375) Environmental45
Marmoricola spp 5 535 (245, 1725) Member of core flora?
Sphingomonas glacialis 5 280 (205, 655) Member of core flora?
Bergeyella zoohelcum 4 310 (93.5, 1750) Dog oral cavity46
Staphylococcus pseudintermedius 4 290 (267.5, 320) Normal flora dog8
Sphingomonas humi-swensis 4 230 (210, 245) Member of core flora?
Rothia sp 3 210 (110, 755) Normal flora, man48
Streptococcus canis 3 2000 (660, 4800) Dog oral cavity46

All are to median count cm−2 with IQR.

The 3 most prevalent bacteria, based on the number of dogs on which they were found, were Sphingomonas species, Corynebacterium kroppenstedtii, and Nocardioides spp (Table 1).

Sixteen species of Sphingomonas spp were found on 17 of the dogs, with a median count of 460 cm−2 (IQR 158, 1806). The 2 most prevalent species were Sphingomonas aerulata and Sphingomonas spp which were found on 11 and 10 dogs, respectively (Table 1). Nine dogs carried 4 or 5 species and, where present, in only 3 of the 17 dogs was a single species isolated.

C kroppenstedtii was found on 15 of the 20 dogs with a median count of 650 per cm−2 (IQR 317.5, 3475). Nocardioides spp was found on 12 with a median of 680 (IQR 247.5. 1300). Rothia kristinae (syn Kocuria kristania) and Cutibacterium acnes (aka Propionibacterium acnes) were found on 7 and 6 dogs, respectively (Table 1).

Staphylococcus pseudintermedius (S pseudintermedius) was found on 4 of the dogs. The median count was 580 cm−2 (IQR 515, 7695).

Summary details for these and the other 12 most prevalent species recovered are presented (Table 1; Figure 1).

Figure 1
Figure 1

A graphical portrayal of the relative prevalence of bacterial species on the ventral abdomen of 30 healthy dogs.

Citation: American Journal of Veterinary Research 84, 10; 10.2460/ajvr.23.04.0072

Discussion

The major aim of the study was to describe the bacterial cell density, and the major constituents, of the bacterial microbiome on the skin of the ventral abdomen of healthy dogs. A secondary aim was to investigate if a spatula scrape before swabbing affected the results.

Knowledge of the density of the cutaneous microbiome, and the species of bacteria, will contribute to our understanding of canine skin biology. In addition, it could provide an objective method of assessing the efficacy of a putative systemic or topical antibacterial treatment for skin infection. Currently, such assessment is made on clinical score,40 by counting bacteria per high power field with a light microscope41 or by regular biome assay utilizing Next Generation Sequencing using 16S rRNA.22 By using a sampling guide, of known areas, clinical changes may be correlated with quantitative microbiological changes.

Dysbiosis is a feature of canine atopic dermatitis and superficial pyoderma.14,18 Further studies evaluating the usefulness of Next Generation Sequencing for assessing the efficacy of antibacterial treatment for skin infection are needed, and using quantitative data might increase our understanding of these dysbiotic changes.

The total bacterial count was circa 1.1 X 105 cm−2, of a similar range to that reported on human skin,24,25 of between 1.1 X 103 and 4.4 X 106 cm−2. The ventral abdomen of the dog is relatively hairless and dry, and, presumably, a similar habitat to human skin, although it is much closer to the ground, and, thus, perhaps more exposed to contaminants.

There was no significant difference between the A and B samples suggesting that, while the scrape technique might be of value when investigating diseased skin, it is not superior to a swab on healthy skin. It is possible that the lack of difference between the A and B samples might represent species differences. For example, a study into the yield of bacteria from human skin with swab, scrape and biopsy did find a difference31 and it is possible that our scrapes were too superficial to show any difference. However, our results might suggest that, in the healthy dog, flocked swabbing is sufficient. This suggestion is supported by Garcia-Fonticoba et al19, whose study demonstrated that there were no viable bacteria in the deeper layers of the skin. If our conclusion is corroborated in future studies, it will greatly simplify sampling.

Sphingomonads are Gram-negative bacillae, typically found in the environment, and they are regarded as opportunist pathogens.42 Of the 12 studies11,1323 reporting 16S rRNS analysis of the canine biome, all but 1 found Sphingomonas spp, although sometimes in low numbers. Two11,14 did not report any taxa recovered in low numbers, but they did recover the species in their studies (personal communications). One study21 found Sphingomonas spp on the same dogs at both sampling times, 30 days apart, although the species recovered were not reported.

C kroppenstedtii was recovered from 15 of the dogs. C kroppenstedtii appears to be an opportunist pathogen in humans and has been found almost exclusively in female patients, and mainly from breast abscesses and cases of granulomatous mastitis.43 Older et al18 noted an increased abundance of untyped corynebacteria in their study, which compared the microbiome of atopic and healthy dogs. They suggested that species-level analysis might be worthwhile, a recommendation supported by our finding that 75% of our healthy dogs were carrying C kroppenstedtii.

Corynebactium spp, Porphyromonas species, Cutibacterium acnes (syn Proprionibacterium acnes), and, perhaps, Haemophilus species, have been proposed as core members of the canine skin bacterial flora.23 P acnes has been reported from dogs previously,44 where it was found on 63.6% of dogs, a higher prevalence than in this study.

Nocardioides species and Knoellia species are environmental bacteria,45 presumably contaminants. In contrast, S canis, Conchiformis steedae, Bergeyella zoohelcum, and Staphylococcus pseudintermedius are members of the dog’s oral microbiome.46,47 These members of the canine oral microbiome may be present on the ventral abdomen of healthy dogs by simple transference to the skin during grooming, as is thought to be the case, for example, of S pseudintermedius in the dog.8 B zoohelcum has been isolated from the skin of people in prolonged contact with therapy dogs, with no history of being bitten48 and it has not been reported previously on the skin of healthy dogs. Notwithstanding, it might explain why B zoohelcum can be found on people in contact with therapy dogs.

R kristinae (syn K kristinae) is a gram-positive coccus. It is found on human skin and is considered part of the normal flora, although it is an occasional pathogen.49 Song et al20 reported that cohabiting humans and dogs may share components of their cutaneous biome and our finding of R kristinae on dogs and the finding of B zoohelcum on humans49 might be examples of this.

Our data, and that reported in other studies, of the canine microbiome,11,1323 suggest that the canine cutaneous flora is very broad and very variable. Torres et al23 suggested that a core community of cutaneous bacteria might be identified across a broad group of animals. Identifying a core member of the microbiome is difficult as individual dogs have their own microbiome, which is similar across all body sites.13,15,23 We suggest that Sphingomonas species might be considered candidates as part of the core gram-negative bacteria flora on normal dogs not just on the basis of its prevalence in the various studies but also because Leverett et al21 found Sphingomonas spp on the same dogs, 30 days apart.

We have also presented data to suggest that the status of B zoohelcum and C kroppenstedtii, on the dog’s skin be reassessed in the light of their zoonotic potential.

There are 2 major limitations to a study of this type, the single site sampling and the lack of a temporal aspect, both of which can be addressed in future studies, now that a method has been described.

While we cannot rule out contamination from the home environment, we took steps to minimize DNA contamination at the time a sampling by minimizing transit time in the waiting room and using disinfection products on the consulting-room table anticipated to denature any residual DNA50. Cusco et al19 was the only one of the recent papers, which used 16s rRNA new technology tools to investigate the canine biome, to perform an environmental control. It could be argued that the steps described above and the 2-center study, using both surface swabs and postscrape samples, mitigate against environmental contamination.

In conclusion, we have found that the density of the bacterial microbiome on the ventral abdomen of 30 healthy dogs was approximately 1.1 X 105 cm−2. We conclude that scraping the skin before sampling is not necessary on healthy dogs.

Acknowledgments

None reported.

Disclosures

The authors have nothing to declare. No AI-assisted technologies were used in the generation of this manuscript.

Funding

Linnaeus Veterinary Limited supported the costs of Open Access Publication Charges.

References

  • 1.

    Kobayashi T, Voisin B, Kim DY, et al. Homeostatic control of sebaceous glands by innate lymphoid cells regulates commensal bacteria equilibrium. Cell. 2019;176:982997. doi:10.1016/j.cell.2018.12.031

    • Search Google Scholar
    • Export Citation
  • 2.

    Chinnappan M, Harris-Tryon TA. Novel mechanisms of microbial crosstalk with skin innate immunity. Exp Dermatol. 2021;30:14841495. doi:10.1111/exd.14429

    • Search Google Scholar
    • Export Citation
  • 3.

    Marsella R. Advances in our understanding of canine atopic dermatitis. Vet Dermatol. 2021;32:547e151. doi:10.1111/vde.12965

  • 4.

    Paller AS, Kong HH, Seed P, et al. The microbiome in patients with atopic dermatitis. J Allergy Clin Immunol. 2019;143:2635. doi:10.1016/j.jaci.2018.11.015

    • Search Google Scholar
    • Export Citation
  • 5.

    Hrestak D, Matijašić M, Čipčić Paljetak H, et al. Skin microbiota in atopic dermatitis. Int J Mol Sci. 2022;23:3503. doi:10.3390/ijms23073503

    • Search Google Scholar
    • Export Citation
  • 6.

    Saijonmaa-Koulumies LE, Lloyd DH. Colonization of the canine skin with bacteria. Vet Dermatol. 1996;7:153162. doi:10.1111/j.1365-3164.1996.tb00240.x

    • Search Google Scholar
    • Export Citation
  • 7.

    Mason IS, Mason KV, Lloyd DH. A review of the biology of canine skin with respect to the commensals Staphylococcus intermedius, Demodex canis and Malassezia pachydermatis. Vet Dermatol. 1996;7:119132. doi:10.1111/j.1365-3164.1996.tb00237.x

    • Search Google Scholar
    • Export Citation
  • 8.

    Devriese LA, De Pelsmaecker K. The anal region as a main carrier site of Staphylococcus intermedius and Streptococcus canis in dogs. Vet Rec. 1987;121:302303. doi:10.1136/vr.121.13.302

    • Search Google Scholar
    • Export Citation
  • 9.

    Harvey, RG, Lloyd, DH. The distribution of Staphylococcus intermedius and coagulase-negative staphylococci on the hair, skin surface, within the hair follicles and on the mucous membranes of eleven dogs. Vet Dermatol. 1994;5:7581. doi:10.1111/j.1365-3164.1994.tb00015.x

    • Search Google Scholar
    • Export Citation
  • 10.

    Harvey RG, Lloyd DH. The distribution of bacteria (other than Staphylococci and Propionibacterium acnes) on the hair, at the skin surface and within the hair follicles of dogs. Vet Dermatol. 1995;6:7984. doi:10.1111/j.1365-3164.1995.tb00047.x

    • Search Google Scholar
    • Export Citation
  • 11.

    Tang S, Prem A, Tjokrosurjo J, et al. The canine skin and ear microbiome: a comprehensive survey of pathogens implicated in canine skin and ear infections using a novel next-generation-sequencing-based assay. Vet Microbiol. 2020;247:108764. doi:10.1016/j.vetmic.2020.108764

    • Search Google Scholar
    • Export Citation
  • 12.

    Allaker RP, Lloyd DH, Simpson A. Occurrence of Staphylococcus intermedius on the hair and skin of the normal dog. Res Vet Sci. 1992;54:174176. doi:10.1016/0034-5288(92)90006-N

    • Search Google Scholar
    • Export Citation
  • 13.

    Rodrigues Hoffmann A, Patterson AP, Diesel A, et al. The skin microbiome in healthy and allergic dogs. PLoS ONE. 2014;9:e83197 doi:10.1371/journal.pone.0083197

    • Search Google Scholar
    • Export Citation
  • 14.

    Bradley CW, Morris DO, Rankin SC, et al. Longitudinal evaluation of the skin microbiome and association with microenvironment and treatment in canine atopic dermatitis. J Invest Dermatol. 2016;136:11821190. doi:10.1016/j.jid.2016.01.023

    • Search Google Scholar
    • Export Citation
  • 15.

    Cuscó A, Sánchez A, Altet L, et al. Individual signatures define canine skin microbiota composition and variability. Front Vet Sci. 2017;4:6.

    • Search Google Scholar
    • Export Citation
  • 16.

    Sánchez A, Altet L, Ferrer L, et al. Individual signatures define canine skin microbiota composition and variability. Front Vet Sci. 2017;4:119. doi:10.3389/fvets.2017.00119

    • Search Google Scholar
    • Export Citation
  • 17.

    Chermprapai S, Ederveen THA, Broere F, et al. The bacterial and fungal microbiome of the skin of healthy dogs and dogs with atopic dermatitis and the impact of topical antimicrobial therapy, an exploratory study. Vet Microbiol. 2019;229:9099. doi:10.1016/j.vetmic.2018.12.022

    • Search Google Scholar
    • Export Citation
  • 18.

    Older CE, Rodrigues Hoffmann A, Hoover K, et al. Characterization of cutaneous bacterial microbiota from superficial pyoderma forms in atopic dogs. Pathogens. 2020;9:638. doi:10.3390/pathogens9080638

    • Search Google Scholar
    • Export Citation
  • 19.

    García-Fonticoba R, Ferrer L, Francino O, et al. The microbiota of the surface, dermis and subcutaneous tissue of dog skin. Anim Microbiome. 2020;2:34. doi:10.1186/s42523-020-00050-8

    • Search Google Scholar
    • Export Citation
  • 20.

    Song SJ, Lauber C, Costello EK, et al. Cohabiting family members share microbiota with one another and with their dogs. Elife. 2013;2:e00458. doi:10.7554/eLife.00458

    • Search Google Scholar
    • Export Citation
  • 21.

    Leverett K, Manjarín R, Laird E, et al. Fresh food consumption increases microbiome diversity and promotes changes in bacteria composition on the skin of pet dogs compared to dry foods. Animals (Basel). 2022;12:1881. doi:10.3390/ani12151881

    • Search Google Scholar
    • Export Citation
  • 22.

    Rexo A, Hansen B, Clarsund M, et al. Effect of topical medication on the nasomaxillary skin-fold microbiome in French bulldogs. Vet Dermatol. 2022;33:10e5. doi:10.1111/vde.13017

    • Search Google Scholar
    • Export Citation
  • 23.

    Torres S, Clayton JB, Danzeisen JL, et al. Diverse bacterial communities exist on canine skin and are impacted by cohabitation and time. PeerJ. 2017;5:e3075. doi:10.7717/peerj.3075

    • Search Google Scholar
    • Export Citation
  • 24.

    Williamson P, Kligman AM. A new method for the quantitative investigation of cutaneous bacteria. J Invest Dermatol. 1965;45:498503. doi:10.1038/jid.1965.164

    • Search Google Scholar
    • Export Citation
  • 25.

    Kong HH, Andersson B, Clavel T, et al. Performing skin microbiome research: a method to the madness. J Invest Dermatol. 2017;137:561568. doi:10.1016/j.jid.2016.10.033

    • Search Google Scholar
    • Export Citation
  • 26.

    Chng KR, Tay AS, Li C, et al. Whole metagenome profiling reveals skin microbiome-dependent susceptibility to atopic dermatitis flare. Nat Microbiol. 2016;1:16106. doi:10.1038/nmicrobiol.2016.106

    • Search Google Scholar
    • Export Citation
  • 27.

    Wise NM, Wagner SJ, Worst TJ, et al. Comparison of swab types for collection and analysis of microorganisms. Microbiologyopen. 2021;10:e1244. doi:10.1002/mbo3.1244

    • Search Google Scholar
    • Export Citation
  • 28.

    Lange-Asschenfeldt B, Marenbach D, Lang C, et al. Distribution of bacteria in the epidermal layers and hair follicles of the human skin. Skin Pharmacol Physiol. 2011;24:305311. doi:10.1159/000328728

    • Search Google Scholar
    • Export Citation
  • 29.

    Rich N, Brune J, Duclos D. A novel cytological technique for bacterial detection on canine skin. Vet Dermatol. 2022;33:108e30. doi:10.1111/vde.13036

    • Search Google Scholar
    • Export Citation
  • 30.

    Ogai K, Nagase S, Mukai K, et al. A comparison of techniques for collecting skin microbiome samples: swabbing versus tape-stripping. Front Microbiology. 2018;9:2362. doi:10.3389/fmicb.2018.02362

    • Search Google Scholar
    • Export Citation
  • 31.

    Bouffard GG, Blakesley RW, Wolfsberg TG, et al. A diversity profile of the human skin microbiota. Genome Res. 2008;18:10431050. doi:10.1101/gr.075549.107

    • Search Google Scholar
    • Export Citation
  • 32.

    Leyden JJ, McGinley KJ, Nordstrom KM, Webster GF. Skin microflora. J Invest Dermatol. 1987;88:65s72s. doi:10.1111/1523-1747.ep12468965

    • Search Google Scholar
    • Export Citation
  • 33.

    Skowron K, Bauza-Kaszewska J, Kraszewska Z, et al. Human skin microbiome: impact of intrinsic and extrinsic factors on skin microbiota. Microorganisms. 2021;9:543562. doi:10.3390/microorganisms9030543

    • Search Google Scholar
    • Export Citation
  • 34.

    Ihrke PJ, Schwartzman RM, McGinley K, et al. Microbiology of normal and seborrheic canine skin. Am J Vet Res. 1978;39:14871489.

  • 35.

    Weese JS. The canine and feline skin microbiome in health and disease. Vet Dermatol. 2013;24:137e31. doi:10.1111/j.1365-3164.2012.01076.x

    • Search Google Scholar
    • Export Citation
  • 36.

    Septimus EJ. Antimicrobial resistance: an antimicrobial/diagnostic stewardship and infection prevention approach. Med Clin North Am. 2018;102:819829. doi:10.1016/j.mcna.2018.04.005

    • Search Google Scholar
    • Export Citation
  • 37.

    Loeffler A, Lloyd DH. What has changed in canine pyoderma? A narrative review. Vet J. 2018;235:7382. doi:10.1016/j.tvjl.2018.04.002

  • 38.

    Kern WV. Organization of antibiotic stewardship in Europe: the way to go. Wien Med Wochenschr. 2021;171(Suppl. 1):48. doi:10.1007/s10354-020-00796-5

    • Search Google Scholar
    • Export Citation
  • 39.

    Hillier A, Lloyd DH, Weese JS, et al. Guidelines for the diagnosis and antimicrobial therapy of canine superficial bacterial folliculitis (Antimicrobial Guidelines Working Group of the International Society for Companion Animal Infectious Diseases). Vet Dermatol. 2014;25:163e43. doi:10.1111/vde.12118

    • Search Google Scholar
    • Export Citation
  • 40.

    Borio S, Colombo S, La Rosa G, et al. Effectiveness of a combined (4% chlorhexidine digluconate shampoo and solution) protocol in MRS and non-MRS canine superficial pyoderma: a randomized, blinded, antibiotic-controlled study. Vet Dermatol. 2015;26:339344. doi:10.1111/vde.12233

    • Search Google Scholar
    • Export Citation
  • 41.

    Gatellet M, Kesteman R, Baulez B, et al. Performance of daily pads containing ophytrium and chlorhexidine digluconate 3% in dogs with local cutaneous bacterial and/or Malassezia overgrowth. Front Vet Sci. 2021;8:579074. doi:10.3389/fvets.2021.579074

    • Search Google Scholar
    • Export Citation
  • 42.

    Ionescu MI, Neagoe , Crăciun AM, et al. The gram-negative bacilli isolated from caves-Sphingomonas paucimobilis and Hafnia alvei and a review of their involvement in human infections. Int J Environ Res Public Health. 2022;19:2324. doi:10.3390/ijerph19042324

    • Search Google Scholar
    • Export Citation
  • 43.

    Tauch A, Fernández-Natal I, Soriano F. A microbiological and clinical review on Corynebacterium kroppenstedtii. Int J Infect Dis. 2016;48:3339. doi:10.1016/j.ijid.2016.04.023

    • Search Google Scholar
    • Export Citation
  • 44.

    Harvey RG, Noble WC, Lloyd DH. Distribution of propionibacteria on dogs: a preliminary report of the findings on 11 dogs. J Small Anim Pract. 1993;34:8084. doi:10.1111/j.1748-5827.1993.tb02614.x

    • Search Google Scholar
    • Export Citation
  • 45.

    Du H, Yu L, Zhang Y. Recent advance on the genus nocardioides-a review. Wei Sheng Wu Xue Bao. 2012; 52: 6718.

  • 46.

    Ruparell A, Inui T, Staunton R, et al. The canine oral microbiome: variation in bacterial populations across different niches. BMC Microbiol. 2020;20:42. doi:10.1186/s12866-020-1704-3

    • Search Google Scholar
    • Export Citation
  • 47.

    Bhooshan S, Negi V, Khatri PK. Staphylococcus pseudintermedius: an undocumented, emerging pathogen in humans. GMS Hyg Infect Control. 2020;15:Doc32. doi:10.3205/dgkh000367

    • Search Google Scholar
    • Export Citation
  • 48.

    Muramatsu Y, Haraya N, Horie K, et al. Bergeyella zoohelcum isolated from oral cavities of therapy dogs. Zoonoses Public Health. 2019;66:936942. doi:10.1111/zph.12644

    • Search Google Scholar
    • Export Citation
  • 49.

    Chen HM, Chi H, Chiu NC, Huang FY. Kocuria kristinae: a true pathogen in pediatric patients. J Microbiol Immunol Infect. 2015;48:8084. doi:10.1016/j.jmii.2013.07.001

    • Search Google Scholar
    • Export Citation
  • 50.

    Szkuta B, Oorschot RAHV, Ballantyne KN. DNA decontamination of fingerprint brushes. Forensic Sci Int. 2017;277:4150. doi:10.1016/j.forsciint.2017.05.009

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 3142 2173 211
PDF Downloads 1320 715 66
Advertisement