Felipe Pierezan1, Thierry Olivry2, Judith S Paps2, Sara D Lawhon1, Jing Wu1, Jörg M Steiner1, Jan S Suchodolski1, Aline Rodrigues Hoffmann3. 1. Texas A&M University, College of Veterinary Medicine and Biomedical Sciences, College Station, TX, 77843, USA. 2. Department of Clinical Sciences, College of Veterinary Medicine and Comparative Medicine Institute, North Carolina State University, 1060 William Moore Drive, Raleigh, NC, 27607, USA. 3. Texas A&M University, College of Veterinary Medicine and Biomedical Sciences, College Station, TX, 77843, USA. arodrigues@cvm.tamu.edu.
Abstract
BACKGROUND: Studies focusing on next-generation sequencing of the bacterial 16S rRNA gene have allowed detailed surveys of skin bacterial populations (microbiota) of the skin. HYPOTHESIS/ OBJECTIVES: This study evaluated temporal changes in the skin microbiota in a canine model of atopic dermatitis. ANIMALS: Eight atopic dogs previously sensitized with house dust mites (HDM). METHODS: The dogs were topically challenged on the right groin with HDM allergens. Swabs were collected from the challenged and the contralateral nonchallenged sites prior to provocation (pre-challenge; baseline sample) and on days 1, 7, 14, 21 and 28 after allergen challenge. The 16S rRNA gene was amplified, sequenced and analysed. Staphylococcus spp. and Staphylococcus pseudintermedius were quantified with quantitative PCR (RT-qPCR). RESULTS: Skin lesions developed in all dogs on the challenged sites. Differences in bacterial groups were observed on the challenged site over time. Relatively lower abundances of Fusobacteriaceae on Day 7, and, based on LEfSe, increased abundances of Corynebacteriaceae on Day 1, and Staphylococcaceae on days 7, 14 and 21, were observed on the challenged site, compared to the contralateral site. Results of RT-qPCR correlated with those of next-generation sequencing, with significantly increased numbers of Staphylococcus spp. and S. pseudintermedius on Day 21, and days 7 and 21 on the challenged site compared to the contralateral site, respectively. CONCLUSIONS AND CLINICAL IMPORTANCE: This study demonstrates that an allergen challenge in sensitized dogs leads to bacterial dysbiosis with increased abundance of S. pseudintermedius at the site of lesion induction.
BACKGROUND: Studies focusing on next-generation sequencing of the bacterial 16S rRNA gene have allowed detailed surveys of skin bacterial populations (microbiota) of the skin. HYPOTHESIS/ OBJECTIVES: This study evaluated temporal changes in the skin microbiota in a canine model of atopic dermatitis. ANIMALS: Eight atopic dogs previously sensitized with house dust mites (HDM). METHODS: The dogs were topically challenged on the right groin with HDM allergens. Swabs were collected from the challenged and the contralateral nonchallenged sites prior to provocation (pre-challenge; baseline sample) and on days 1, 7, 14, 21 and 28 after allergen challenge. The 16S rRNA gene was amplified, sequenced and analysed. Staphylococcus spp. and Staphylococcus pseudintermedius were quantified with quantitative PCR (RT-qPCR). RESULTS:Skin lesions developed in all dogs on the challenged sites. Differences in bacterial groups were observed on the challenged site over time. Relatively lower abundances of Fusobacteriaceae on Day 7, and, based on LEfSe, increased abundances of Corynebacteriaceae on Day 1, and Staphylococcaceae on days 7, 14 and 21, were observed on the challenged site, compared to the contralateral site. Results of RT-qPCR correlated with those of next-generation sequencing, with significantly increased numbers of Staphylococcus spp. and S. pseudintermedius on Day 21, and days 7 and 21 on the challenged site compared to the contralateral site, respectively. CONCLUSIONS AND CLINICAL IMPORTANCE: This study demonstrates that an allergen challenge in sensitized dogs leads to bacterial dysbiosis with increased abundance of S. pseudintermedius at the site of lesion induction.
Authors: Breno C B Beirão; Aline C Taraciuk; Carolina Trentin; Max Ingberman; Luiz F Caron; Chris McKenzie; William H Stimson Journal: Vet Rec Open Date: 2021-05-02
Authors: Caitlin E Older; Alison B Diesel; Sara D Lawhon; Cintia R R Queiroz; Luan C Henker; Aline Rodrigues Hoffmann Journal: PLoS One Date: 2019-07-30 Impact factor: 3.240
Authors: Anna Cuscó; Janelle M Belanger; Liza Gershony; Alma Islas-Trejo; Kerinne Levy; Juan F Medrano; Armand Sánchez; Anita M Oberbauer; Olga Francino Journal: Microbiome Date: 2017-10-13 Impact factor: 14.650
Authors: Giovanni Widmer; Lluís Ferrer; Claude Favrot; Judy Paps; Kevin Huynh; Thierry Olivry Journal: BMC Vet Res Date: 2018-02-23 Impact factor: 2.741