Quantifying the mycobiome and its major constituents on the skin of 20 normal dogs

Richard G. Harvey Willows Referral Services (part of Linnaeus Veterinary Ltd), 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 constituents, of the mycobiome on the skin surface of normal dogs.

ANIMALS

20 normal dogs were recruited for this 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 scapula. Both samples were taken within a brass guide with an internal area of 3.5 cm−2. Next-generation DNA sequencing was used to identify and quantify components of the mycobiome.

RESULTS

The median density of the mycobiome was 1.1 X 105 cm−2 (IQR, 27,561, 409,572). Cladosporium spp and Vishniacozyma victoriae were found on all 20 dogs.

CLINICAL RELEVANCE

Knowledge of the density and the composition of the cutaneous mycobiome will increase our understanding of skin biology and may have relevance to future therapeutic trials.

Abstract

OBJECTIVE

To report the density, and constituents, of the mycobiome on the skin surface of normal dogs.

ANIMALS

20 normal dogs were recruited for this 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 scapula. Both samples were taken within a brass guide with an internal area of 3.5 cm−2. Next-generation DNA sequencing was used to identify and quantify components of the mycobiome.

RESULTS

The median density of the mycobiome was 1.1 X 105 cm−2 (IQR, 27,561, 409,572). Cladosporium spp and Vishniacozyma victoriae were found on all 20 dogs.

CLINICAL RELEVANCE

Knowledge of the density and the composition of the cutaneous mycobiome will increase our understanding of skin biology and may have relevance to future therapeutic trials.

Fungi are an integral part of the skin microbiota, and, as such, they play an important role in cutaneous homeostasis and atopic dermatitis.1,2 Notwithstanding, the exact nature of this role, and the interaction of the mycobiome with the microbiome in general, remain elusive and understudied.13 Fungal species, such as Cladosporium spp and Malassezia spp, can act both as an allergen and a pathogen.46 While there may be some data as to whether they are part of the core or normal flora,7,8 some authorities consider fungi as opportunist pathogens.9,10

In humans, Malassezia spp account for the most commonly recovered fungal family on the trunk and arms of adults.11,12 Given the diversity of available cutaneous microniches, this, very limited, spectrum of fungal species on the majority of the human body is not understood.1 Despite this apparent paucity of species on the skin of adult people, there is some significant body site variation.11,12 For example, the human foot harbors complex fungal communities composed of Aspergillus spp, Cryptococcus spp, Rhodotorula spp, and Epicoccum spp.13 Age is also a recognized factor, as children carry a much more diverse fungal flora than postpubescent adults.14

The canine cutaneous mycobiota, with the exception of Malassezia spp,6 also has received less attention than the bacterial biome, particularly with regard to next-generation sequencing. According to NCBI, as of March 2023, of the 12 studies investigating the canine cutaneous biome, which used 16S rRNA new technology, only 6 reported the fungal component.7,8,1518 Species of fungi found on the skin of animals have been considered opportunistic9 with the 2 most consistently recovered genera from normal dogs being Alternaria spp and Cladosporium spp.7,8,1518 Tang et al8 reported that 20% of the fungal isolates from their 172 normal dogs were Capnodiales spp (related to Cladosporium).19 The mycobiome of the skin of dogs shows very little site variation, with interdog variation being much more significant than body site.7,8,15

This study was undertaken to sample, in a quantitative manner, the skin of normal dogs to assess the density of the fungal constituents of the cutaneous mycobiome. A secondary study was undertaken to assess if gently scraping the skin before swabbing had an effect on the subsequent sample, as it was reported to do when used to sample the skin of dogs with dermatidides.20

Methods

Twenty dogs with no history of internal disease or skin disease were sampled. None of the dogs were receiving any medication, other than routine antiparasitics. All dogs were owned by members of the practice, or their families, all of whom gave informed, signed, consent.

To minimize contamination of the skin samples 2 steps were taken. First, owners were given an appointment, such that they could then be escorted through the waiting room without waiting. Second, examination tables were cleaned, before sampling, with disinfectants expected to denature any residual DNA (Virkon; VioVet).

Each dog was gently restrained in lateral recumbency by the owner and sampled twice on the same occasion, once on the left, the A sample, and once on the right, the B sample, of the umbilicus. Hair was not clipped.

Sterile, single-use gloves were worn. Swab samples were taken by using sterile, dry, DNA-free HydraFlock (catalog No. 25-3406-H; Puritan), which was used to rub the skin surface, in an agreed, standard manner within the confines of a brass metal guide, with an internal area of 3.5 cm2.

The guides were No. 9 door furniture letters. These were cold sterilized between patients, and samples, with Reprodis HLD4l. The A and B samples were taken by gently swabbing the skin 6 times vertically and then 6 swabs laterally. Swab strokes were to cover the height and width of the area within the guide. The B samples were taken as with the A samples, but only after a sterile spatula was used to gently scrape the surface of the skin. The scrapes were performed in a standard manner of 6 gentle scrapes vertically followed by 6 gentle scrapes laterally to cover the height and width with the guide.

Swab tips were placed into vials containing a sterile DNA preservative (DNA/RNA Shield; catalog No. R1108; Zymo Research Corp) and immediately frozen. Samples were shipped en masse to the MiDOG LLC testing facility.

Genomic DNA was purified using the ZymoBIOMICSTM-96 DNA kit (catalog No. 79 D4304; Zymo Research Corp). Sample library preparation and data analysis for fungal profiling were performed by MiDOG LLC, using a Quick-16S NGS Library Prep Kit (catalog No. D6400; Zymo Research Corp) with minor modifications. As internal controls to ensure the accuracy and cleanliness of the data generated, and to control for any potential contamination of the equipment, sequencing buffers, and other material, several negative controls were run for both the extraction process and the library preparation. These included an “extraction negative control,” which was the storage buffer (catalog No. R1100-50; DNA/RNA Shield), which was lysed, extracted, library prepped, and sequenced in parallel with experimental samples. Further, a “library preparation negative control” and a “no template control” for the library preparation were run. The workflow is automated using a Hamilton Star liquid handling robot (Hamilton Company) to minimize human error during the sampling process.

To control for contamination, both cellular and DNA mock communities were used as positive controls (ZymoBIOMICS Microbial Community Standard; catalog No. D6300 and D6305; Zymo Research Corp) to account for any bias in the workflow starting from the DNA extraction process. ZymoBIOMICS Microbial Community Standard (Zymo Research Corp) was used as a positive control to monitor the performance of all steps of the next-generation sequencing workflow including the bioinformatic analysis. Primer sequences targeted the internal transcribed spacer 2 region for mycobiome analysis as previously described.8 Libraries were sequenced using an Illumina HiSeq 1500 sequencer, for a sequencing depth of 7 to 8 million reads, generating at least 10,000 reads per sample. Reads were filtered through Dada2 (R package version 3.4). Taxonomy prediction was performed with Centrifuge21 combined with a custom reference database (version 24; Zymo Research) curated, in part, from draft or complete genomic sequences available from NCBI GenBank.

Phylotypes were computed as percent proportions based on the total number of sequences in each sample. The species-level resolution of the sequencing approach used here has previously been demonstrated by shotgun sequencing.8 Absolute microbial quantification was achieved using real-time PCR targeting the internal transcribed spacer 2 region.

Statistical Analysis

The statistical analysis was performed using Stata version 15.1.

The analysis made comparisons between the 2 sets of measurements. As both measurements were made on the same animals, this gave rise to paired data. Due to the skewed distribution of the outcome values, the Wilcoxon matched pairs test was used for the analysis. Due to the distribution of the outcome values, the median and IQR were used to summarize the responses for each set of measurements. The P value was set at .05.

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.

A total of 99 species of fungi were identified, 87 of which were found on 1 or 2 dogs only. Twelve species occurred on 3 or more of the dogs, and these are listed and ranked (Table 1). The 87 species found on 1 or 2 dogs are listed elsewhere (Supplementary Table S1).

Table 1

The most prevalent fungi on the skin of 20 healthy dogs ranked, with median count and IQR.

Species Prevalence Median (IQR)
Cladosporium sp 20 397 (11.7, 1,524)
Vishniacozyma victoriae 20 22.5 (6.41, 90.6)
Boeremia exigua 17 57 (17.3, 140)
Alternaria sp 15 11.9 (5, 34.2)
Pleosporales sp 12 11.5 (4.8, 33.3)
Ascomycota sp 11 25.2 (11.9, 75.8)
Alternia abundans-armoraciae 11 57 (17.9, 140)
Fungi sp 10 35 (14.5, 140)
Botrytis caroliniana-cinerea 9 34 (15.1, 68)
Aureobasidium proteae-pullulans 8 2.64 (2.91, 3.8)
Claviceps sp 7 5 (2.3, 11)
Claviceps paspali 6 11 (5.3, 19,5)
Fusarium sp 5 4.9 (3.1, 21)
Sporobolynae roseus 4 12.8 (4.8, 29.4)

The median fungal count was 1.1 X 105 cells cm−2 (IQR, 27,561, 409,572). The median count from the A samples was 4.8 X 104 cells cm−2 (IQR, 29,245, 128,291), and the median fungal count from the B samples was 6.6 X 105 cells cm−2 (IQR, 29,668, 184,270). This difference was not significant (P = .31) The statistical analysis suggested that there was no difference between the A and B samples (P = .17).

There was no difference between males and females, between males and neutered males, or between females and neutered females. There was no significant difference between A or B samples for any of the taxa recovered.

Cladosporium spp were found on every dog (Table 1), and in every dog, it was the dominant isolate, accounting for over 73% of the total count, giving a median count of 3.97 X 102 cells cm−2 (IQR, 11.7, 1,524). Vishniacozyma victoria also was found on every dog, with a median count of 22.5 cells cm−2 (IQR, 6.41, 90.6). V victoria was typically 2 to 5% of the count, although in 8 dogs it accounted for over 7.5%. Boeremia exigua was found on 17 of the dogs with a median of 57 (IQR, 17.3, 140), and Alternaria sp was found on 15 with a median of 11.9 (IQR, 5, 34.2). Malassezia pachydermatis was found on 2. A graphical depiction of these results is shown (Figure 1).

Figure 1
Figure 1

A graphical representation of the 12 most prevalent fungi on the skin of 20 normal dogs. The dominance of Cladosporium spp is readily apparent.

Citation: American Journal of Veterinary Research 84, 10; 10.2460/ajvr.23.04.0071

Discussion

These results show that, in contrast to humans and in accord with other canine studies,7,8,16 the principal fungal species on healthy dogs was Cladosporium spp and not Malassezia pachydermatis. We found Malassezia pachydermatis on 2 dogs, and while this prevalence is a little higher than that found by Meason-Smith et al,7 Tang et al,8 or Chermprapai et al,15 it is of the same order as that reported for healthy dogs by Prado et al.22 The axilla and groin were noted to carry a lower number of malassezial yeast than other areas, such as the chin.23

Cladosporium spp were the most commonly found fungal species in 4 of the studies reporting the members of canine mycobiome,7,8,16 although in rare cases not all15 Cladosporium spp have been associated with severe disease in dogs.5,24 The genera are also considered a relevant allergen in some atopic dogs and, accordingly, are a component of both serum IgE and intradermal skin testing panels.4,6,25 We found this organism on every dog, on both A and B samples, rather suggesting it is not an opportunist.

Vishniacozyma victoriae (renamed from Cryptococcus victoriae) was found on all 20 dogs. Recently, Rush et al26 analyzed the concentrations of V victoriae in houses participating in the New York City Neighborhood Asthma and Allergy Study. V victoriae was significantly associated with the presence of a dog within the house. The inverse relationship of the V victoriae concentration within the house and the presence of asthma within the household occupants suggested a protective effect, either of the presence of the fungus, or a dog, or both.26 V victoriae also has been shown to induce inflammation in a mouse model of asthma.27 There is evidence to support the protective effect of a dog, or a member of its cutaneous microbiome, within the house, as it has been associated with a lower incidence of allergic diseases, such as food allergy and asthma,2832 but the evidence a protective effect is not clear cut.33,34 Notwithstanding, our findings go some way to explaining the relationship between V victoriae and the presence of a dog in the house.26

Both Cladosporium spp and V victoriae appear to be members of the core cutaneous flora of the dog, but the classification of their exact status requires temporal studies.

Alternaria spp, much like Cladosporium spp, have been regularly recovered from the skin of dogs.7,14,15 However, in our study, Alternaria spp were only found on 70% dogs and in numbers an order of magnitude lower than that of Cladosporium spp. Alternaria spp have been associated with opportunistic mycoses in the skin of humans and the dog after cutaneous inoculation, after iatrogenic immunosuppression, or through blood dissemination in immune-suppressed patients.35,36

Also, we found Boeremia exigua on a large number of dogs (Table 1). B exigua is an environmental fungus that has been associated with fungal infections in a variety of plants.37 It must be regarded as a transient, perhaps a contaminant, although its recovery from 60% in dogs rather speaks against this.

The limitations of this study include extrapolating findings from 2 sampling sites on the ventral abdomen, notwithstanding the 20-dog sample size. The umbilical area was selected as the sample site to comply with ethical approval, as clipping was not required and only gentle manual restraint was envisaged. However, several studies5,6,13,38 have demonstrated that the individual dog factor has a greater influence on the beta diversity of cutaneous microbiota than the body site, and to the authors’ knowledge, this finding still stands. Diet, and the presence of cohabiting members in the household, have been shown to affect the cutaneous microbiome.39,40 Although these studies did not assess the mycobiome, there is no reason to think that they might not be pertinent. We have alluded above to the requirement for temporal studies, which might allow more confidence in stating the status of an organism as resident, transient, or contaminant.41 A 1-time study precludes this deduction.

We took steps to minimize DNA contamination at the time of sampling by minimizing transit time in the waiting room and using disinfection products on the consulting-room table anticipated to denature any residual DNA.42 Cusco et al38 provided the only 1 of the recent papers for a study, which used 16S rRNA new technology tools to investigate the canine biome, that performed an environmental control. However, we could not eliminate contamination from the home environment.

Another limitation of this study might be the use of flocked swabs to sample the mycobiome. Although these have been shown to be superior to simple cotton for the recovery of bacterial samples,43 there appears no evidence that they are superior, or inferior, for sampling the mycobiome. There was no statistical difference between A samples and B samples, suggesting that in healthy dogs there is no reason to scrape the skin before sampling for members of canine cutaneous mycobiome. This should simplify sample collection in future studies.

In summary, we have demonstrated that the cutaneous mycobiota on the abdomen of normal dogs has a median density of 1.1 X 105 cm−2. Cladosporium spp and Vishniacozyma victoriae could be considered part of the core mycobiome on the skin of healthy dogs although their status is, as yet, unknown. Prior skin scraping is not necessary for sampling the canine cutaneous mycobiome.

Supplementary Materials

Supplementary materials are posted online at the journal website: avmajournals.avma.org

Acknowledgments

Statistical Consultancy Ltd for performing statistical analysis.

Disclosures

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

Funding

Linnaeus Veterinary Limited supported the costs of Open Access Publication Charges. MiDOG provided swabs and paid for transportation of said swabs and the 16S rRNA analysis and the subsequent data analysis.

References

  • 1.

    Ruchti F, LeibundGut-Landmann S. New insights into immunity to skin fungi shape our understanding of health and disease. Parasite Immunol. 2023;45(2):e12948. doi:10.1111/pim.12948

    • Search Google Scholar
    • Export Citation
  • 2.

    Szczepańska M, Blicharz L, Nowaczyk J, et al. The role of the cutaneous mycobiome in atopic dermatitis. J Fungi (Basel). 2022;8(11):1153. doi:10.3390/jof8111153

    • Search Google Scholar
    • Export Citation
  • 3.

    Peleg AY, Hogan DA, Mylonakis E. Medically important bacterial-fungal interactions. Nat Rev Microbiol. 2010;8(5):340349. doi:10.1038/nrmicro2313

    • Search Google Scholar
    • Export Citation
  • 4.

    Adam GO, Park YG, Cho JH, Choi J, Oh HG. Detecting common allergens in dogs with atopic dermatitis in South Korean Provinces using a serological immunoglobulin E-specific allergen test. Vet World. 2022;15(8):19962003. doi:10.14202/vetworld.2022.1996-2003

    • Search Google Scholar
    • Export Citation
  • 5.

    Headley SA, de Mello Zanim Michelazzo M, Elias B, et al. Disseminated melanized fungal infection due to Cladosporium halotolerans in a dog coinfected with canine adenovirus-1 and canine parvovirus-2. Braz J Microbiol. 2019;50(3):859870. doi:10.1007/s42770-019-00082-6

    • Search Google Scholar
    • Export Citation
  • 6.

    Guillot J, Bond R. Malassezia yeasts in veterinary dermatology: an updated overview. Front Cell Infect Microbiol. 2020;10:79. doi:10.3389/fcimb.2020.00079

    • Search Google Scholar
    • Export Citation
  • 7.

    Meason-Smith C, Diesel A, Patterson AP, et al. What is living on your dog’s skin? Characterization of the canine cutaneous mycobiota and fungal dysbiosis in canine allergic dermatitis. FEMS Microbiol Ecol. 2015;91(12):fiv139. doi:10.1093/femsec/fiv139

    • Search Google Scholar
    • Export Citation
  • 8.

    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
  • 9.

    Dąbrowska I, Dworecka-Kaszak B, Biegańska MJ. Do pets pose a risk of fungal infections to their owners? Uttar Pradesh J Zool. 2018;38:46.

    • Search Google Scholar
    • Export Citation
  • 10.

    Dworecka-Kaszak B, Biegańska MJ, Dąbrowska I. Occurrence of various pathogenic and opportunistic fungi in skin diseases of domestic animals: a retrospective study. BMC Vet Res. 2020;16(1):248. doi:10.1186/s12917-020-02460-x

    • Search Google Scholar
    • Export Citation
  • 11.

    Hobi S, Cafarchia C, Romano V, Barrs VR. Malassezia: zoonotic implications, parallels and differences in colonization and disease in humans and animals. J Fungi (Basel). 2022;8(7):708. doi:10.3390/jof8070708

    • Search Google Scholar
    • Export Citation
  • 12.

    Gao Z, Perez-Perez GI, Chen Y, Balser MJ. Quantitation of major human cutaneous bacterial and fungal populations. J Clin Microbiol. 2010;48(10):35753581. doi:10.1128/JCM.00597-10

    • Search Google Scholar
    • Export Citation
  • 13.

    Yang Y, Qu L, Mijakovic I, Wei Y. Advances in the human skin microbiota and its roles in cutaneous diseases. Microb Cell Fact. 2022;21(1):176. doi:10.1186/s12934-022-01901-6

    • Search Google Scholar
    • Export Citation
  • 14.

    Jo JH, Deming C, Kennedy EA, et al. Diverse human skin fungal communities in children converge in adulthood. J Invest Dermatol. 2016;136(12):23562363. doi:10.1016/j.jid.2016.05.130

    • Search Google Scholar
    • Export Citation
  • 15.

    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
  • 16.

    Rodriguez-Campos S, Rostaher A, Zwickl L, et al. Impact of the early-life skin microbiota on the development of canine atopic dermatitis in a high-risk breed birth cohort. Sci Rep. 2020;10(1):1044. doi:10.1038/s41598-020-57798-x

    • Search Google Scholar
    • Export Citation
  • 17.

    Verneuil M, Durand B, Marcon C, Guillot J. Conjunctival and cutaneous fungal flora in clinically normal dogs in southern France. J Mycol Med. 2014;24(1):2528. doi:10.1016/j.mycmed.2013.11.002

    • Search Google Scholar
    • Export Citation
  • 18.

    Rexo A, Hansen B, Clarsund M, Krumbeck JA, Bernstein J. Effect of topical medication on the nasomaxillary skin-fold microbiome in French bulldogs. Vet Dermatol. 2022;33(1):10-e5. doi:10.1111/vde.13017

    • Search Google Scholar
    • Export Citation
  • 19.

    Schubert K, Groenewald JZ, Braun U, et al. Biodiversity in the Cladosporium herbarum complex (Davidiellaceae, Capnodiales), with standardisation of methods for Cladosporium taxonomy and diagnostics. Stud Mycol. 2007;58:105156. doi:10.3114/sim.2007.58.05

    • Search Google Scholar
    • Export Citation
  • 20.

    Rich N, Brune J, Duclos D. A novel cytological technique for bacterial detection on canine skin. Vet Dermatol. 2022;33(3):108-e30. doi:10.1111/vde.13036

    • Search Google Scholar
    • Export Citation
  • 21.

    Kim D, Song L, Breitwieser FP, Salzberg SL. Centrifuge: rapid and sensitive classification of metagenomic sequences. Genome Res. 2016;26(12):17211729. doi:10.1101/gr.210641.116

    • Search Google Scholar
    • Export Citation
  • 22.

    Prado MR, Brilhante RS, Cordeiro R, Monteiro AJ, Sidrim JJ, Rocha MF. Frequency of yeasts and dermatophytes from healthy and diseased dogs. J Vet Diagn Invest. 2008;20(2):197202. doi:10.1177/104063870802000208

    • Search Google Scholar
    • Export Citation
  • 23.

    Kennis RA, Rosser EJ Jr, Olivier NB, Walker RW. Quantity and distribution of Malassezia organisms on the skin of clinically normal dogs. J Am Vet Med. Assoc. 1996;208(7):10481051.

    • Search Google Scholar
    • Export Citation
  • 24.

    Spano M, Zuliani D, Peano A, Bertazzolo W. Cladosporium cladosporioides-complex infection in a mixed-breed dog. Vet Clin Pathol. 2018;47(1):150153. doi:10.1111/vcp.12571

    • Search Google Scholar
    • Export Citation
  • 25.

    Plant JD, Neradelik MB, Polissar NL, Fadok VA, Scott BA. Agreement between allergen-specific IgE assays and ensuing immunotherapy recommendations from four commercial laboratories in the USA. Vet Dermatol. 2014;25:15-e6. doi:10.1111/vde.12104

    • Search Google Scholar
    • Export Citation
  • 26.

    Rush RE, Dannemiller KC, Cochran SJ, et al. Vishniacozyma victoriae (syn. Cryptococcus victoriae) in the homes of asthmatic and non-asthmatic children in New York City. J Expo Sci Environ Epidemiol. 2022;32(1):4859. doi:10.1038/s41370-021-00342-4

    • Search Google Scholar
    • Export Citation
  • 27.

    Rush RE, Blackwood CB, Lemons AR, Green BJ, Croston TL. Persisting Cryptococcus yeast species Vishniacozyma victoriae and Cryptococcus neoformans elicit unique airway inflammation in mice following repeated exposure. Front Cell Infect Microbiol. 2023;13:1067475. doi:10.3389/fcimb.2023.1067475

    • Search Google Scholar
    • Export Citation
  • 28.

    Ojwang V, Nwaru BI, Takkinen HM, et al. Early exposure to cats, dogs and farm animals and the risk of childhood asthma and allergy. Pediatr Allergy Immunol. 2020;31(suppl 26):2628. doi:10.1111/pai.13362

    • Search Google Scholar
    • Export Citation
  • 29.

    Morales-Romero J, Bedolla-Pulido TI, Bedolla-Pulido TR, et al. Asthma prevalence, but not allergic rhinitis nor atopic dermatitis, is associated to exposure to dogs in adolescents. Allergol Immunopathol (Madr). 2020;48(1):3441. doi:10.1016/j.aller.2019.04.008

    • Search Google Scholar
    • Export Citation
  • 30.

    Kopp MV, Muche-Borowski C, Abou-Dakn M, et al. S3 guideline allergy prevention. Allergol Select. 2022;6:6197. doi:10.5414/ALX02303E

  • 31.

    Taniguchi Y, Kobayashi M. Exposure to dogs and cats and risk of asthma: a retrospective study. PLoS One. 2023;18(3):e0282184. doi:10.1371/journal.pone.0282184

    • Search Google Scholar
    • Export Citation
  • 32.

    Smejda K, Polanska K, Stelmach W, Majak P, Stelmach I. Dog keeping at home before and during pregnancy decreased the risk of food allergy in 1-year-old children. Postepy Dermatol Allergol. 2020;37(2):255261. doi:10.5114/ada.2018.80584

    • Search Google Scholar
    • Export Citation
  • 33.

    Pinot de Moira A, Strandberg-Larsen K, Bishop T, et al. Associations of early-life pet ownership with asthma and allergic sensitization: a meta-analysis of more than 77,000 children from the EU Child Cohort Network. J Allergy Clin Immunol. 2022;150(1):8292. doi:10.1016/j.jaci.2022.01.023

    • Search Google Scholar
    • Export Citation
  • 34.

    Lødrup Carlsen KC, Roll S, Carlsen KH, et al. Does pet ownership in infancy lead to asthma or allergy at school age? Pooled analysis of individual participant data from 11 European birth cohorts. PLoS One. 2012;7(8):e43214. doi:10.1371/journal.pone.0043214

    • Search Google Scholar
    • Export Citation
  • 35.

    Satta R, Dore MP, Pes GM, Biondi G. Iatrogenic immunosuppression may favour Alternaria skin lesion flares. BMJ Case Rep. 2018;2018:bcr2017223857.

    • Search Google Scholar
    • Export Citation
  • 36.

    Classen J, Dengler B, Klinger CJ, Bettenay SV, Rickerts V, Mueller RS. Cutaneous alternariosis in an immunocompromised dog successfully treated with cold plasma and cessation of immunosuppressive medication. Tierarztl Prax Ausg K Kleintiere Heimtiere. 2017;45(5):337343. doi:10.15654/TPK-160851

    • Search Google Scholar
    • Export Citation
  • 37.

    Wang F, Dun C, Tang T, Duan Y, Guo X, You J. Boeremia exigua causes leaf spot of walnut trees (Juglans regia) in China. Plant Dis 2022:PDIS10212304PDN. doi:10.1094/PDIS-10-21-2304-PDN

    • Search Google Scholar
    • Export Citation
  • 38.

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

    • Search Google Scholar
    • Export Citation
  • 39.

    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
  • 40.

    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(15):1881.

    • Search Google Scholar
    • Export Citation
  • 41.

    Saijonmaa-Koulumies LE, Lloyd DH. Colonization of the canine skin with bacteria. Vet Dermatol 1996;7(3):153162. doi:10.1111/j.1365-3164.1996.tb00240.x

    • Search Google Scholar
    • Export Citation
  • 42.

    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
  • 43.

    Wise NM, Wagner SJ, Worst TJ, Sprague JE, Oechsle CM. Comparison of swab types for collection and analysis of microorganisms. Microbiologyopen 2021;10(6):e1244. doi:10.1002/mbo3.1244

    • Search Google Scholar
    • Export Citation

Supplementary Materials

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 2868 1883 143
PDF Downloads 929 400 21
Advertisement