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      The respiratory microbiota and its impact on health and disease in dogs and cats: A One Health perspective

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          Abstract

          Healthy lungs were long thought of as sterile, with presence of bacteria identified by culture representing contamination. Recent advances in metagenomics have refuted this belief by detecting rich, diverse, and complex microbial communities in the healthy lower airways of many species, albeit at low concentrations. Although research has only begun to investigate causality and potential mechanisms, alterations in these microbial communities (known as dysbiosis) have been described in association with inflammatory, infectious, and neoplastic respiratory diseases in humans. Similar studies in dogs and cats are scarce. The microbial communities in the respiratory tract are linked to distant microbial communities such as in the gut (ie, the gut‐lung axis), allowing interplay of microbes and microbial products in health and disease. This review summarizes considerations for studying local microbial communities, key features of the respiratory microbiota and its role in the gut‐lung axis, current understanding of the healthy respiratory microbiota, and examples of dysbiosis in selected respiratory diseases of dogs and cats.

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          Most cited references159

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

            SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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              Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB

              A 16S rRNA gene database ( http://greengenes.lbl.gov ) addresses limitations of public repositories by providing chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies. It was found that there is incongruent taxonomic nomenclature among curators even at the phylum level. Putative chimeras were identified in 3% of environmental sequences and in 0.2% of records derived from isolates. Environmental sequences were classified into 100 phylum-level lineages in the Archaea and Bacteria .
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                Author and article information

                Contributors
                vientosplottsai@missouri.edu
                Journal
                J Vet Intern Med
                J Vet Intern Med
                10.1111/(ISSN)1939-1676
                JVIM
                Journal of Veterinary Internal Medicine
                John Wiley & Sons, Inc. (Hoboken, USA )
                0891-6640
                1939-1676
                08 August 2023
                Sep-Oct 2023
                : 37
                : 5 ( doiID: 10.1111/jvim.v37.5 )
                : 1641-1655
                Affiliations
                [ 1 ] College of Veterinary Medicine University of Missouri Columbia Missouri USA
                [ 2 ] Department of Veterinary Medicine and Surgery, College of Veterinary Medicine University of Missouri Columbia Missouri USA
                [ 3 ] Comparative Internal Medicine Laboratory University of Missouri Columbia Missouri USA
                [ 4 ] University of Missouri Metagenomics Center University of Missouri Columbia Missouri USA
                [ 5 ] Department of Veterinary Pathobiology, College of Veterinary Medicine University of Missouri Columbia Missouri USA
                Author notes
                [*] [* ] Correspondence

                Aida I. Vientós‐Plotts, 900 E. Campus Dr., Columbia, MO 65203, USA.

                Email: vientosplottsai@ 123456missouri.edu

                Author information
                https://orcid.org/0000-0002-8146-0580
                https://orcid.org/0000-0002-6382-5582
                Article
                JVIM16824
                10.1111/jvim.16824
                10473014
                37551852
                76a45fac-967f-4fe9-9fdf-459cf60fa5b4
                © 2023 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals LLC on behalf of American College of Veterinary Internal Medicine.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 14 September 2022
                : 10 July 2023
                Page count
                Figures: 2, Tables: 2, Pages: 15, Words: 13468
                Categories
                Review Article
                SMALL ANIMAL
                Review Articles
                Respiratory
                Custom metadata
                2.0
                September/October 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.3 mode:remove_FC converted:01.09.2023

                Veterinary medicine
                asthma,lung,microbiome,nasal,pneumonia
                Veterinary medicine
                asthma, lung, microbiome, nasal, pneumonia

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