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      Changes in the fecal microbiota in dogs with acute hemorrhagic diarrhea during an outbreak in Norway

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          Abstract

          Background

          A severe form of acute hemorrhagic diarrhea syndrome (AHDS) occurred in dogs in the Oslo region of Norway during autumn 2019.

          Objectives

          To characterize the fecal microbiota of dogs with AHDS during the outbreak and compare it to that of healthy dogs from the same period and before the outbreak.

          Animals

          Dogs with AHDS (n = 50), dogs with nonhemorrhagic diarrhea (n = 3), and healthy dogs (n = 11) were sampled during the outbreak. In addition, 78 healthy dogs from the same region were sampled before the outbreak between 2017 and 2018.

          Methods

          Retrospective case‐control study. The fecal microbiotas were characterized using 16S rRNA gene amplicon sequencing.

          Results

          Dogs with AHDS had significantly different microbiota composition ( R 2 = .07, P < .001) and decreased intestinal diversity relative to healthy dogs from the outbreak period (median, 2.7; range, 0.9‐3.5 vs median, 3.2; range, 2.6‐4.0; P < .001). The microbiota in dogs with AHDS was characterized by a decrease of Firmicutes and an outgrowth of Proteobacteria , with increased numbers of Clostridium perfringens and Providencia spp. Among the Providencia spp., 1 showed 100% sequence identity with a Providencia alcalifaciens strain that was cultivated and isolated from the same outbreak. No Providencia spp. was found in healthy dogs sampled before the outbreak.

          Conclusions and Clinical Importance

          Dogs with AHDS had marked changes in fecal microbiota including increased numbers of Providencia spp. and C. perfringens, which may have contributed to the severity of this illness.

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          Most cited references40

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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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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              Search and clustering orders of magnitude faster than BLAST.

              Biological sequence data is accumulating rapidly, motivating the development of improved high-throughput methods for sequence classification. UBLAST and USEARCH are new algorithms enabling sensitive local and global search of large sequence databases at exceptionally high speeds. They are often orders of magnitude faster than BLAST in practical applications, though sensitivity to distant protein relationships is lower. UCLUST is a new clustering method that exploits USEARCH to assign sequences to clusters. UCLUST offers several advantages over the widely used program CD-HIT, including higher speed, lower memory use, improved sensitivity, clustering at lower identities and classification of much larger datasets. Binaries are available at no charge for non-commercial use at http://www.drive5.com/usearch.
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                Author and article information

                Contributors
                kristin.herstad@nmbu.no
                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
                21 July 2021
                Sep-Oct 2021
                : 35
                : 5 ( doiID: 10.1111/jvim.v35.5 )
                : 2177-2186
                Affiliations
                [ 1 ] Faculty of Veterinary Medicine, Department of Companion Animal Clinical Sciences Norwegian University of Life Sciences Ås Norway
                [ 2 ] Department of Biosciences, Centre for Ecological and Evolutionary Synthesis University of Oslo Oslo Norway
                [ 3 ] Norwegian Veterinary Institute Oslo Norway
                Author notes
                [*] [* ] Correspondence

                Kristin M. V. Herstad, Faculty of Veterinary Medicine, Department of Companion Animal Clinical Sciences, Norwegian University of Life Sciences, Ås, Norway.

                Email: kristin.herstad@ 123456nmbu.no

                Author information
                https://orcid.org/0000-0003-3942-8584
                Article
                JVIM16201
                10.1111/jvim.16201
                8478063
                34288148
                85e6b437-4b27-4032-9d2d-fc7875437764
                © 2021 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/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 29 May 2021
                : 12 January 2021
                : 08 June 2021
                Page count
                Figures: 6, Tables: 1, Pages: 10, Words: 6757
                Funding
                Funded by: SPARK Norway and UiO:Life Science
                Categories
                Standard Article
                SMALL ANIMAL
                Standard Articles
                Gastroenterology
                Custom metadata
                2.0
                September/October 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.8 mode:remove_FC converted:28.09.2021

                Veterinary medicine
                canine,dysbiosis,hemorrhagic diarrhea,intestinal microbiota,norway
                Veterinary medicine
                canine, dysbiosis, hemorrhagic diarrhea, intestinal microbiota, norway

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