Patrícia M Oba1, Meredith Q Carroll1, Celeste Alexander2, Helen Valentine3, Amy J Somrak4, Stephanie C J Keating4, Adrianna M Sage5, Kelly S Swanson6,7. 1. Department of Animal Sciences, University of Illinois at Urbana-Champaign, 1207 West Gregory Drive, 162 Animal Sciences Laboratory, IL, 61801, Urbana, USA. 2. Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, 61801, Urbana, IL, USA. 3. Division of Animal Resources, University of Illinois at Urbana-Champaign, 61801, Urbana, IL, USA. 4. Department of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois, 61801, Urbana, IL, USA. 5. Department of Nutrition, Dominican University, 60305, River Forest, IL, USA. 6. Department of Animal Sciences, University of Illinois at Urbana-Champaign, 1207 West Gregory Drive, 162 Animal Sciences Laboratory, IL, 61801, Urbana, USA. ksswanso@illinois.edu. 7. Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, 61801, Urbana, IL, USA. ksswanso@illinois.edu.
Abstract
BACKGROUND: Oral diseases are common in dogs, with microbiota playing a prominent role in the disease process. Oral cavity habitats harbor unique microbiota populations that have relevance to health and disease. Despite their importance, the canine oral cavity microbial habitats have been poorly studied. The objectives of this study were to (1) characterize the oral microbiota of different habitats of dogs and (2) correlate oral health scores with bacterial taxa and identify what sites may be good options for understanding the role of microbiota in oral diseases. We used next-generation sequencing to characterize the salivary (SAL), subgingival (SUB), and supragingival (SUP) microbial habitats of 26 healthy adult female Beagle dogs (4.0 ± 1.2 year old) and identify taxa associated with periodontal disease indices. RESULTS: Bacterial species richness was highest for SAL, moderate for SUB, and lowest for SUP samples (p < 0.001). Unweighted and weighted principal coordinates plots showed clustering by habitat, with SAL and SUP samples being the most different from one another. Bacteroidetes, Proteobacteria, Firmicutes, Fusobacteria, Actinobacteria, and Spirochaetes were the predominant phyla in all habitats. Paludibacter, Filifactor, Peptostreptococcus, Fusibacter, Anaerovorax, Fusobacterium, Leptotrichia, Desulfomicrobium, and TG5 were enriched in SUB samples, while Actinomyces, Corynebacterium, Leucobacter, Euzebya, Capnocytophaga, Bergeyella, Lautropia, Lampropedia, Desulfobulbus, Enhydrobacter, and Moraxella were enriched in SUP samples. Prevotella, SHD-231, Helcococcus, Treponema, and Acholeplasma were enriched in SAL samples. p-75-a5, Arcobacter, and Pasteurella were diminished in SUB samples. Porphyromonas, Peptococcus, Parvimonas, and Campylobacter were diminished in SUP samples, while Tannerella, Proteocalla, Schwartzia, and Neisseria were diminished in SAL samples. Actinomyces, Corynebacterium, Capnocytophaga, Leptotrichia, and Neisseria were associated with higher oral health scores (worsened health) in plaque samples. CONCLUSIONS: Our results demonstrate the differences that exist among canine salivary, subgingival plaque and supragingival plaque habitats. Salivary samples do not require sedation and are easy to collect, but do not accurately represent the plaque populations that are most important to oral disease. Plaque Actinomyces, Corynebacterium, Capnocytophaga, Leptotrichia, and Neisseria were associated with higher (worse) oral health scores. Future studies analyzing samples from progressive disease stages are needed to validate these results and understand the role of bacteria in periodontal disease development.
BACKGROUND:Oral diseases are common in dogs, with microbiota playing a prominent role in the disease process. Oral cavity habitats harbor unique microbiota populations that have relevance to health and disease. Despite their importance, the canine oral cavity microbial habitats have been poorly studied. The objectives of this study were to (1) characterize the oral microbiota of different habitats of dogs and (2) correlate oral health scores with bacterial taxa and identify what sites may be good options for understanding the role of microbiota in oral diseases. We used next-generation sequencing to characterize the salivary (SAL), subgingival (SUB), and supragingival (SUP) microbial habitats of 26 healthy adult female Beagle dogs (4.0 ± 1.2 year old) and identify taxa associated with periodontal disease indices. RESULTS: Bacterial species richness was highest for SAL, moderate for SUB, and lowest for SUP samples (p < 0.001). Unweighted and weighted principal coordinates plots showed clustering by habitat, with SAL and SUP samples being the most different from one another. Bacteroidetes, Proteobacteria, Firmicutes, Fusobacteria, Actinobacteria, and Spirochaetes were the predominant phyla in all habitats. Paludibacter, Filifactor, Peptostreptococcus, Fusibacter, Anaerovorax, Fusobacterium, Leptotrichia, Desulfomicrobium, and TG5 were enriched in SUB samples, while Actinomyces, Corynebacterium, Leucobacter, Euzebya, Capnocytophaga, Bergeyella, Lautropia, Lampropedia, Desulfobulbus, Enhydrobacter, and Moraxella were enriched in SUP samples. Prevotella, SHD-231, Helcococcus, Treponema, and Acholeplasma were enriched in SAL samples. p-75-a5, Arcobacter, and Pasteurella were diminished in SUB samples. Porphyromonas, Peptococcus, Parvimonas, and Campylobacter were diminished in SUP samples, while Tannerella, Proteocalla, Schwartzia, and Neisseria were diminished in SAL samples. Actinomyces, Corynebacterium, Capnocytophaga, Leptotrichia, and Neisseria were associated with higher oral health scores (worsened health) in plaque samples. CONCLUSIONS: Our results demonstrate the differences that exist among canine salivary, subgingival plaque and supragingival plaque habitats. Salivary samples do not require sedation and are easy to collect, but do not accurately represent the plaque populations that are most important to oral disease. Plaque Actinomyces, Corynebacterium, Capnocytophaga, Leptotrichia, and Neisseria were associated with higher (worse) oral health scores. Future studies analyzing samples from progressive disease stages are needed to validate these results and understand the role of bacteria in periodontal disease development.
Authors: Floyd E Dewhirst; Erin A Klein; Emily C Thompson; Jessica M Blanton; Tsute Chen; Lisa Milella; Catherine M F Buckley; Ian J Davis; Marie-Lousie Bennett; Zoe V Marshall-Jones Journal: PLoS One Date: 2012-04-27 Impact factor: 3.240
Authors: Patrícia M Oba; Kelly M Sieja; Stephanie C J Keating; Teodora Hristova; Amy J Somrak; Kelly S Swanson Journal: J Anim Sci Date: 2022-08-01 Impact factor: 3.338
Authors: Patrícia M Oba; Meredith Q Carroll; Celeste Alexander; Helen Valentine; Amy J Somrak; Stephanie C J Keating; Adrianna M Sage; Kelly S Swanson Journal: Anim Microbiome Date: 2021-06-03