Literature DB >> 33477604

On the Variability of Microbial Populations and Bacterial Metabolites within the Canine Stool. An in-Depth Analysis.

Carlo Pinna1, Carla Giuditta Vecchiato1, Costanza Delsante1, Monica Grandi1, Giacomo Biagi1.   

Abstract

Canine faecal microbial populations and metabolome are being increasingly studied to understand the interplay between host and gut microbiome. However, the distribution of bacterial taxa and microbial metabolites throughout the canine stool is understudied and currently no guidelines for the collection, storage and preparation of canine faecal samples have been proposed. Here, we assessed the effects that different sampling points have on the abundance of selected microbial populations and bacterial metabolites within the canine stool. Whole fresh faecal samples were obtained from five healthy adult dogs. Stool subsamples were collected from the surface to the inner part and from three equally sized areas (cranial, central, caudal) along the length axis of the stool log. All samples were finally homogenised and compared before and after homogenisation. Firmicutes, Bacteroidetes, Clostridium cluster I, Lactobacillus spp., Bifidobacterium spp. and Enterococcus spp. populations were analysed, as well as pH, ammonia and short-chain fatty acids (SCFA) concentrations. Compared to the surface of the stool, inner subsamples resulted in greater concentrations of SCFA and ammonia, and lower pH values. qPCR assay of microbial taxa did not show any differences between subsamples. Homogenisation of faeces does not affect the variability of microbial and metabolome data. Although the distribution patterns of bacterial populations and metabolites are still unclear, we found that stool subsampling yielded contradictory result and biases that can affect the final outcome when investigating the canine microbiome. Complete homogenisation of the whole stool is therefore recommended.

Entities:  

Keywords:  Canis lupus familiaris; DNA extraction; bacterial metabolites; faecal microbiota; qPCR; stool collection

Year:  2021        PMID: 33477604      PMCID: PMC7831317          DOI: 10.3390/ani11010225

Source DB:  PubMed          Journal:  Animals (Basel)        ISSN: 2076-2615            Impact factor:   2.752


  35 in total

1.  Fruit and vegetable fiber fermentation by gut microflora from canines.

Authors:  K S Swanson; C M Grieshop; G M Clapper; R G Shields; T Belay; N R Merchen; G C Fahey
Journal:  J Anim Sci       Date:  2001-04       Impact factor: 3.159

2.  Effects of diurnal variation of gut microbes and high-fat feeding on host circadian clock function and metabolism.

Authors:  Vanessa Leone; Sean M Gibbons; Kristina Martinez; Alan L Hutchison; Edmond Y Huang; Candace M Cham; Joseph F Pierre; Aaron F Heneghan; Anuradha Nadimpalli; Nathaniel Hubert; Elizabeth Zale; Yunwei Wang; Yong Huang; Betty Theriault; Aaron R Dinner; Mark W Musch; Kenneth A Kudsk; Brian J Prendergast; Jack A Gilbert; Eugene B Chang
Journal:  Cell Host Microbe       Date:  2015-04-16       Impact factor: 21.023

3.  Real-time PCR quantitation of clostridia in feces of autistic children.

Authors:  Yuli Song; Chengxu Liu; Sydney M Finegold
Journal:  Appl Environ Microbiol       Date:  2004-11       Impact factor: 4.792

4.  Development of an extensive set of 16S rDNA-targeted primers for quantification of pathogenic and indigenous bacteria in faecal samples by real-time PCR.

Authors:  T Rinttilä; A Kassinen; E Malinen; L Krogius; A Palva
Journal:  J Appl Microbiol       Date:  2004       Impact factor: 3.772

5.  Fecal short-chain fatty acid concentrations and dysbiosis in dogs with chronic enteropathy.

Authors:  Yasushi Minamoto; Tomomi Minamoto; Anitha Isaiah; Panpicha Sattasathuchana; Agostino Buono; Venkat R Rangachari; Isaac H McNeely; Jonathan Lidbury; Jörg M Steiner; Jan S Suchodolski
Journal:  J Vet Intern Med       Date:  2019-05-17       Impact factor: 3.333

6.  In Vitro Evaluation of the Effects of Tylosin on the Composition and Metabolism of Canine Fecal Microbiota.

Authors:  Carlo Pinna; Carla Giuditta Vecchiato; Monica Grandi; Ludovica Maria Eugenia Mammi; Claudio Stefanelli; Giacomo Biagi
Journal:  Animals (Basel)       Date:  2020-01-08       Impact factor: 2.752

7.  The Characterization of Feces and Urine: A Review of the Literature to Inform Advanced Treatment Technology.

Authors:  C Rose; A Parker; B Jefferson; E Cartmell
Journal:  Crit Rev Environ Sci Technol       Date:  2015-09-02       Impact factor: 12.561

8.  An ambient temperature collection and stabilization strategy for canine microbiota studies.

Authors:  Ching-Yen Lin; Tzu-Wen L Cross; Evgueni Doukhanine; Kelly S Swanson
Journal:  Sci Rep       Date:  2020-08-07       Impact factor: 4.379

9.  Effect of an extruded animal protein-free diet on fecal microbiota of dogs with food-responsive enteropathy.

Authors:  Francesca Bresciani; Yasushi Minamoto; Jan S Suchodolski; Giorgia Galiazzo; Carla G Vecchiato; Carlo Pinna; Giacomo Biagi; Marco Pietra
Journal:  J Vet Intern Med       Date:  2018-10-23       Impact factor: 3.333

10.  Impact of inter- and intra-individual variation, sample storage and sampling fraction on human stool microbial community profiles.

Authors:  Yun Kit Yeoh; Zigui Chen; Mamie Hui; Martin C S Wong; Wendy C S Ho; Miu Ling Chin; Siew C Ng; Francis K L Chan; Paul K S Chan
Journal:  PeerJ       Date:  2019-01-11       Impact factor: 2.984

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