Species-level characterization of saliva and dental plaque microbiota reveals putative bacterial and functional biomarkers of periodontal diseases in dogs

Author:

Alessandri Giulia1,Fontana Federico12,Mancabelli Leonardo34,Tarracchini Chiara1,Lugli Gabriele Andrea1,Argentini Chiara1,Longhi Giulia12,Rizzo Sonia Mirjam1,Vergna Laura Maria1,Anzalone Rosaria2,Viappiani Alice2,Turroni Francesca14ORCID,Ossiprandi Maria Cristina45,Milani Christian14ORCID,Ventura Marco14ORCID

Affiliation:

1. Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma , Parco Area delle Scienze 11a, 43124 Parma, Italy

2. Parco Area delle Scienze 11a , 43124 Parma , Italy

3. Department of Medicine and Surgery, University of Parma , Via Volturno 39, 43125 Parma , Italy

4. Microbiome Research Hub, University of Parma , Parco Area delle Scienze 11a, 43124 Parma , Italy

5. Department of Veterinary Medical Science, University of Parma , Via Del Taglio 10, 43126 Parma , Italy

Abstract

Abstract Periodontal diseases are among the most common bacterial-related pathologies affecting the oral cavity of dogs. Nevertheless, the canine oral ecosystem and its correlations with oral disease development are still far from being fully characterized. In this study, the species-level taxonomic composition of saliva and dental plaque microbiota of 30 healthy dogs was investigated through a shallow shotgun metagenomics approach. The obtained data allowed not only to define the most abundant and prevalent bacterial species of the oral microbiota in healthy dogs, including members of the genera Corynebacterium and Porphyromonas, but also to identify the presence of distinct compositional motifs in the two oral microniches as well as taxonomical differences between dental plaques collected from anterior and posterior teeth. Subsequently, the salivary and dental plaque microbiota of 18 dogs affected by chronic gingival inflammation and 18 dogs with periodontitis were compared to those obtained from the healthy dogs. This analysis allowed the identification of bacterial and metabolic biomarkers correlated with a specific clinical status, including members of the genera Porphyromonas and Fusobacterium as microbial biomarkers of a healthy and diseased oral status, respectively, and genes predicted to encode for metabolites with anti-inflammatory properties as metabolic biomarkers of a healthy status.

Funder

Fondazione Cariparma

Publisher

Oxford University Press (OUP)

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