Literature DB >> 22723645

Faecal and caecal microbiota profiles of mice do not cluster in the same way.

Wanyong Pang1, Finn Kvist Vogensen, Dennis Sandris Nielsen, Axel Kornerup Hansen.   

Abstract

Polymerase chain reaction (PCR)-based denaturation gradient gel electrophoresis (DGGE) is currently being used for characterizing the composition of the gut microbiota (GM) of mice in order to better control the study variation arising from the GM. At present, faeces are commonly sampled from live animals, while caecum is most commonly sampled from terminated animals. However, there is no knowledge whether the composition at the one site is representative for the other. In this study C57BL/6 mice were observed from the age of four weeks until the age of 10 weeks. Faeces were sampled weekly. Caecum was sampled surgically under anaesthesia and with subsequent ampicillin treatment at the age of six weeks and again after euthanasia at the age of 10 weeks. Faecal and caecal microbiota profiles were determined using DGGE and subjected to subsequent cluster analysis. The mice subjected to surgical caecal sampling clustered separately for two weeks after termination of antibiotics after which they again clustered with the non-surgically sampled mice. Faecal and caecal profiles clustered separately at the age of six weeks, but not at the age of 10 weeks. There were no correlations between faecal or caecal profiles at six or 10 weeks of age, respectively. It is concluded that faecal and caecal microbiota profiles are not representative of each other in mice. Therefore, it is recommendable in studies to sample from several sites specifically decided in relation to the specific model of a study.

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Year:  2012        PMID: 22723645     DOI: 10.1258/la.2012.011128

Source DB:  PubMed          Journal:  Lab Anim        ISSN: 0023-6772            Impact factor:   2.471


  12 in total

1.  Cecal versus fecal microbiota in Ossabaw swine and implications for obesity.

Authors:  Matthew R Panasevich; Umesh D Wankhade; Sree V Chintapalli; Kartik Shankar; R Scott Rector
Journal:  Physiol Genomics       Date:  2018-03-09       Impact factor: 3.107

Review 2.  Impact of the gut microbiota on rodent models of human disease.

Authors:  Axel Kornerup Hansen; Camilla Hartmann Friis Hansen; Lukasz Krych; Dennis Sandris Nielsen
Journal:  World J Gastroenterol       Date:  2014-12-21       Impact factor: 5.742

3.  Quantitatively different, yet qualitatively alike: a meta-analysis of the mouse core gut microbiome with a view towards the human gut microbiome.

Authors:  Lukasz Krych; Camilla H F Hansen; Axel K Hansen; Frans W J van den Berg; Dennis S Nielsen
Journal:  PLoS One       Date:  2013-05-01       Impact factor: 3.240

4.  Comparison of fecal and cecal microbiotas reveals qualitative similarities but quantitative differences.

Authors:  Dragana Stanley; Mark S Geier; Honglei Chen; Robert J Hughes; Robert J Moore
Journal:  BMC Microbiol       Date:  2015-02-27       Impact factor: 3.605

5.  Metaproteogenomics Reveals Taxonomic and Functional Changes between Cecal and Fecal Microbiota in Mouse.

Authors:  Alessandro Tanca; Valeria Manghina; Cristina Fraumene; Antonio Palomba; Marcello Abbondio; Massimo Deligios; Michael Silverman; Sergio Uzzau
Journal:  Front Microbiol       Date:  2017-03-14       Impact factor: 5.640

6.  Fecal bacterial microbiota of Canadian commercial mink (Neovison vison): Yearly, life stage, and seasonal comparisons.

Authors:  Nicole R Compo; Diego E Gomez; Brian Tapscott; J Scott Weese; Patricia V Turner
Journal:  PLoS One       Date:  2018-11-12       Impact factor: 3.240

7.  Gut microbial diversity in two insectivorous bats: Insights into the effect of different sampling sources.

Authors:  Haonan Wu; Yutong Xing; Haijian Sun; Xiuguang Mao
Journal:  Microbiologyopen       Date:  2018-07-03       Impact factor: 3.139

8.  Lactobacillus acidophilus DDS-1 Modulates Intestinal-Specific Microbiota, Short-Chain Fatty Acid and Immunological Profiles in Aging Mice.

Authors:  Ravichandra Vemuri; Rohit Gundamaraju; Tanvi Shinde; Agampodi Promoda Perera; Waheedha Basheer; Benjamin Southam; Shakuntla V Gondalia; Avinash V Karpe; David J Beale; Stephen Tristram; Kiran D K Ahuja; Madeleine Ball; Christopher J Martoni; Rajaraman Eri
Journal:  Nutrients       Date:  2019-06-07       Impact factor: 5.717

9.  Fecal microbiota transplantation and antibiotic treatment attenuate naloxone-precipitated opioid withdrawal in morphine-dependent mice.

Authors:  Ana C Thomaz; Vishakh Iyer; Taylor J Woodward; Andrea G Hohmann
Journal:  Exp Neurol       Date:  2021-06-18       Impact factor: 5.620

Review 10.  Experimental design considerations in microbiota/inflammation studies.

Authors:  Robert J Moore; Dragana Stanley
Journal:  Clin Transl Immunology       Date:  2016-07-22
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