Literature DB >> 21262117

Variation in the gut microbiota of laboratory mice is related to both genetic and environmental factors.

Majbritt Ravn Hufeldt1, Dennis S Nielsen, Finn Kvist Vogensen, Tore Midtvedt, Axel Kornerup Hansen.   

Abstract

During recent years, the composition of the gut microbiota (GM) has received increasing attention as a factor in the development of experimental inflammatory disease in animal models. Because increased variation in the GM might lead to increased variation in disease parameters, determining and reducing GM variation between laboratory animals may provide more consistent models. Both genetic and environmental aspects influence the composition of the GM and may vary between laboratory animal breeding centers and within an individual breeding center. This study investigated the variation in cecal microbiota in 8-wk-old NMRI and C57BL/6 mice by using denaturing gradient gel electrophoresis to profile PCR-derived amplicons from bacterial 16S rRNA genes. Comparison of the cecal microbiotas revealed that the similarity index of the inbred C57BL/6Sca strain was 10% higher than that of the outbred Sca:NMRI stock. Comparing C57BL/6 mice from 2 vendors revealed significant differences in the microbial profile, whereas the profiles of C57BL/6Sca mice raised in separate rooms within the same breeding center were not significantly different. Furthermore, housing in individually ventilated cages did not lead to intercage variation. These results show that denaturing gradient gel electrophoresis is a simple tool that can be used to characterize the gut microbiota of mice. Including such characterizations in future quality-control programs may increase the reproducibility of mouse studies.

Entities:  

Mesh:

Year:  2010        PMID: 21262117      PMCID: PMC2958200     

Source DB:  PubMed          Journal:  Comp Med        ISSN: 1532-0820            Impact factor:   0.982


  36 in total

1.  Recommendations for the health monitoring of rodent and rabbit colonies in breeding and experimental units.

Authors:  W Nicklas; P Baneux; R Boot; T Decelle; A A Deeny; M Fumanelli; B Illgen-Wilcke
Journal:  Lab Anim       Date:  2002-01       Impact factor: 2.471

2.  Comparison of cellular fatty acid profiles of the microbiota in different gut regions of BALB/c and C57BL/6J mice.

Authors:  Vaahtovuo Jussi; Eerola Erkki; Toivanen Paavo
Journal:  Antonie Van Leeuwenhoek       Date:  2005-07       Impact factor: 2.271

3.  An obesity-associated gut microbiome with increased capacity for energy harvest.

Authors:  Peter J Turnbaugh; Ruth E Ley; Michael A Mahowald; Vincent Magrini; Elaine R Mardis; Jeffrey I Gordon
Journal:  Nature       Date:  2006-12-21       Impact factor: 49.962

4.  Diabetes preventive gluten-free diet decreases the number of caecal bacteria in non-obese diabetic mice.

Authors:  Axel Kornerup Hansen; Fengjun Ling; Anne Kaas; David P Funda; Helene Farlov; Karsten Buschard
Journal:  Diabetes Metab Res Rev       Date:  2006 May-Jun       Impact factor: 4.876

5.  Assessing changes in composition of intestinal microbiota in neonatal BALB/c mice through cluster analysis of molecular markers.

Authors:  Reiko Fujiwara; Jun Watanabe; Kei Sonoyama
Journal:  Br J Nutr       Date:  2008-06       Impact factor: 3.718

6.  Genetic variation within and between lines of diabetes-prone and non-diabetes-prone BB rats; allele distribution of 8 protein markers.

Authors:  J B Prins; L Herberg; M Den Bieman; L F van Zutphen
Journal:  Lab Anim       Date:  1991-07       Impact factor: 2.471

7.  Maturation of the murine cecal microbiota as revealed by terminal restriction fragment length polymorphism and 16S rRNA gene clone libraries.

Authors:  Ryoko Kibe; Mitsuo Sakamoto; Hidenori Hayashi; Hiroshi Yokota; Yoshimi Benno
Journal:  FEMS Microbiol Lett       Date:  2004-06-01       Impact factor: 2.742

8.  Obesity alters gut microbial ecology.

Authors:  Ruth E Ley; Fredrik Bäckhed; Peter Turnbaugh; Catherine A Lozupone; Robin D Knight; Jeffrey I Gordon
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-20       Impact factor: 11.205

9.  Dietary carbohydrate source influences molecular fingerprints of the rat faecal microbiota.

Authors:  Tine R Licht; Max Hansen; Morten Poulsen; Lars O Dragsted
Journal:  BMC Microbiol       Date:  2006-11-30       Impact factor: 3.605

10.  Changes in gut microbiota control inflammation in obese mice through a mechanism involving GLP-2-driven improvement of gut permeability.

Authors:  P D Cani; S Possemiers; T Van de Wiele; Y Guiot; A Everard; O Rottier; L Geurts; D Naslain; A Neyrinck; D M Lambert; G G Muccioli; N M Delzenne
Journal:  Gut       Date:  2009-02-24       Impact factor: 23.059

View more
  93 in total

Review 1.  Network analysis of gut microbiota literature: an overview of the research landscape in non-human animal studies.

Authors:  Emily L Pascoe; Heidi C Hauffe; Julian R Marchesi; Sarah E Perkins
Journal:  ISME J       Date:  2017-08-11       Impact factor: 10.302

Review 2.  Rodent models to study the relationships between mammals and their bacterial inhabitants.

Authors:  Rodrigo Bibiloni
Journal:  Gut Microbes       Date:  2012-08-23

3.  Methods in microbiome research.

Authors:  Namrata Iyer
Journal:  Lab Anim (NY)       Date:  2016-08-23       Impact factor: 12.625

4.  Dynamic and Asymmetric Changes of the Microbial Communities after Cohousing in Laboratory Mice.

Authors:  Roberta Caruso; Masashi Ono; Marie E Bunker; Gabriel Núñez; Naohiro Inohara
Journal:  Cell Rep       Date:  2019-06-11       Impact factor: 9.423

5.  Helicobacter Infection Significantly Alters Pregnancy Success in Laboratory Mice.

Authors:  Tara C Bracken; Caitlin A Cooper; Zil Ali; Ha Truong; Julie M Moore
Journal:  J Am Assoc Lab Anim Sci       Date:  2017-05-01       Impact factor: 1.232

6.  Use of Organ Dysfunction as a Primary Outcome Variable Following Cecal Ligation and Puncture: Recommendations for Future Studies.

Authors:  Mabel N Abraham; Alexander P Kelly; Ariel B Brandwein; Tiago D Fernandes; Daniel E Leisman; Matthew D Taylor; Mariana R Brewer; Christine A Capone; Clifford S Deutschman
Journal:  Shock       Date:  2020-08       Impact factor: 3.454

7.  Comparative metagenomic sequencing analysis of cecum microbiotal diversity and function in broilers and layers.

Authors:  Zhao Qi; Shuiqin Shi; Jian Tu; Shaowen Li
Journal:  3 Biotech       Date:  2019-07-31       Impact factor: 2.406

Review 8.  Microbiota and reproducibility of rodent models.

Authors:  Craig L Franklin; Aaron C Ericsson
Journal:  Lab Anim (NY)       Date:  2017-03-22       Impact factor: 12.625

Review 9.  Immunogenetic control of the intestinal microbiota.

Authors:  Eric Marietta; Abdul Rishi; Veena Taneja
Journal:  Immunology       Date:  2015-06-03       Impact factor: 7.397

Review 10.  Manipulating the Gut Microbiota: Methods and Challenges.

Authors:  Aaron C Ericsson; Craig L Franklin
Journal:  ILAR J       Date:  2015
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.