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Temporospatial shifts within commercial laboratory mouse gut microbiota impact experimental reproducibility

BACKGROUND: Experimental reproducibility in mouse models is impacted by both genetics and environment. The generation of reproducible data is critical for the biomedical enterprise and has become a major concern for the scientific community and funding agencies alike. Among the factors that impact r...

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Autores principales: Mandal, Rabindra K., Denny, Joshua E., Waide, Morgan L., Li, Qingsheng, Bhutiani, Neal, Anderson, Charles D., Baby, Becca V., Jala, Venkatakrishna R., Egilmez, Nejat K., Schmidt, Nathan W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334859/
https://www.ncbi.nlm.nih.gov/pubmed/32620114
http://dx.doi.org/10.1186/s12915-020-00810-7
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author Mandal, Rabindra K.
Denny, Joshua E.
Waide, Morgan L.
Li, Qingsheng
Bhutiani, Neal
Anderson, Charles D.
Baby, Becca V.
Jala, Venkatakrishna R.
Egilmez, Nejat K.
Schmidt, Nathan W.
author_facet Mandal, Rabindra K.
Denny, Joshua E.
Waide, Morgan L.
Li, Qingsheng
Bhutiani, Neal
Anderson, Charles D.
Baby, Becca V.
Jala, Venkatakrishna R.
Egilmez, Nejat K.
Schmidt, Nathan W.
author_sort Mandal, Rabindra K.
collection PubMed
description BACKGROUND: Experimental reproducibility in mouse models is impacted by both genetics and environment. The generation of reproducible data is critical for the biomedical enterprise and has become a major concern for the scientific community and funding agencies alike. Among the factors that impact reproducibility in experimental mouse models is the variable composition of the microbiota in mice supplied by different commercial vendors. Less attention has been paid to how the microbiota of mice supplied by a particular vendor might change over time. RESULTS: In the course of conducting a series of experiments in a mouse model of malaria, we observed a profound and lasting change in the severity of malaria in mice infected with Plasmodium yoelii; while for several years mice obtained from a specific production suite of a specific commercial vendor were able to clear the parasites effectively in a relatively short time, mice subsequently shipped from the same unit suffered much more severe disease. Gut microbiota analysis of frozen cecal samples identified a distinct and lasting shift in bacteria populations that coincided with the altered response of the later shipments of mice to infection with malaria parasites. Germ-free mice colonized with cecal microbiota from mice within the same production suite before and after this change followed by Plasmodium infection provided a direct demonstration that the change in gut microbiota profoundly impacted the severity of malaria. Moreover, spatial changes in gut microbiota composition were also shown to alter the acute bacterial burden following Salmonella infection, and tumor burden in a lung tumorigenesis model. CONCLUSION: These changes in gut bacteria may have impacted the experimental reproducibility of diverse research groups and highlight the need for both laboratory animal providers and researchers to collaborate in determining the methods and criteria needed to stabilize the gut microbiota of animal breeding colonies and research cohorts, and to develop a microbiota solution to increase experimental rigor and reproducibility.
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spelling pubmed-73348592020-07-06 Temporospatial shifts within commercial laboratory mouse gut microbiota impact experimental reproducibility Mandal, Rabindra K. Denny, Joshua E. Waide, Morgan L. Li, Qingsheng Bhutiani, Neal Anderson, Charles D. Baby, Becca V. Jala, Venkatakrishna R. Egilmez, Nejat K. Schmidt, Nathan W. BMC Biol Research Article BACKGROUND: Experimental reproducibility in mouse models is impacted by both genetics and environment. The generation of reproducible data is critical for the biomedical enterprise and has become a major concern for the scientific community and funding agencies alike. Among the factors that impact reproducibility in experimental mouse models is the variable composition of the microbiota in mice supplied by different commercial vendors. Less attention has been paid to how the microbiota of mice supplied by a particular vendor might change over time. RESULTS: In the course of conducting a series of experiments in a mouse model of malaria, we observed a profound and lasting change in the severity of malaria in mice infected with Plasmodium yoelii; while for several years mice obtained from a specific production suite of a specific commercial vendor were able to clear the parasites effectively in a relatively short time, mice subsequently shipped from the same unit suffered much more severe disease. Gut microbiota analysis of frozen cecal samples identified a distinct and lasting shift in bacteria populations that coincided with the altered response of the later shipments of mice to infection with malaria parasites. Germ-free mice colonized with cecal microbiota from mice within the same production suite before and after this change followed by Plasmodium infection provided a direct demonstration that the change in gut microbiota profoundly impacted the severity of malaria. Moreover, spatial changes in gut microbiota composition were also shown to alter the acute bacterial burden following Salmonella infection, and tumor burden in a lung tumorigenesis model. CONCLUSION: These changes in gut bacteria may have impacted the experimental reproducibility of diverse research groups and highlight the need for both laboratory animal providers and researchers to collaborate in determining the methods and criteria needed to stabilize the gut microbiota of animal breeding colonies and research cohorts, and to develop a microbiota solution to increase experimental rigor and reproducibility. BioMed Central 2020-07-03 /pmc/articles/PMC7334859/ /pubmed/32620114 http://dx.doi.org/10.1186/s12915-020-00810-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Mandal, Rabindra K.
Denny, Joshua E.
Waide, Morgan L.
Li, Qingsheng
Bhutiani, Neal
Anderson, Charles D.
Baby, Becca V.
Jala, Venkatakrishna R.
Egilmez, Nejat K.
Schmidt, Nathan W.
Temporospatial shifts within commercial laboratory mouse gut microbiota impact experimental reproducibility
title Temporospatial shifts within commercial laboratory mouse gut microbiota impact experimental reproducibility
title_full Temporospatial shifts within commercial laboratory mouse gut microbiota impact experimental reproducibility
title_fullStr Temporospatial shifts within commercial laboratory mouse gut microbiota impact experimental reproducibility
title_full_unstemmed Temporospatial shifts within commercial laboratory mouse gut microbiota impact experimental reproducibility
title_short Temporospatial shifts within commercial laboratory mouse gut microbiota impact experimental reproducibility
title_sort temporospatial shifts within commercial laboratory mouse gut microbiota impact experimental reproducibility
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334859/
https://www.ncbi.nlm.nih.gov/pubmed/32620114
http://dx.doi.org/10.1186/s12915-020-00810-7
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