Modeling the Dynamic Digestive System Microbiome
“Modeling the Dynamic Digestive System Microbiome” is a hands-on activity designed to demonstrate the dynamics of microbiome ecology using dried pasta and beans to model disturbance events in the human digestive system microbiome. This exercise demonstrates how microbiome diversity is influenced by:...
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American Society for Microbiology
2015
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oai:doaj.org-article:1ad5c85e1911484fb9fc48237c733f192021-11-15T15:04:03ZModeling the Dynamic Digestive System Microbiome10.1128/jmbe.v16i2.9081935-78851935-7877https://doaj.org/article/1ad5c85e1911484fb9fc48237c733f192015-12-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/jmbe.v16i2.908https://doaj.org/toc/1935-7877https://doaj.org/toc/1935-7885“Modeling the Dynamic Digestive System Microbiome” is a hands-on activity designed to demonstrate the dynamics of microbiome ecology using dried pasta and beans to model disturbance events in the human digestive system microbiome. This exercise demonstrates how microbiome diversity is influenced by: 1) niche availability and habitat space and 2) a major disturbance event, such as antibiotic use. Students use a pictorial key to examine prepared models of digestive system microbiomes to determine what the person with the microbiome “ate.” Students then model the effect of taking antibiotics by removing certain “antibiotic sensitive” pasta. Finally, they add in “environmental microbes” or “native microbes” to recolonize the digestive system, determine how resilient their model microbome community is to disturbance, and discuss the implications. Throughout the exercise, students discuss differences in the habitat space available and microbiome community diversity. This exercise can be modified to discuss changes in the microbiome due to diet shifts and the emergence of antibiotic resistance in more depth.Anne M. EstesAmerican Society for MicrobiologyarticleSpecial aspects of educationLC8-6691Biology (General)QH301-705.5ENJournal of Microbiology & Biology Education, Vol 16, Iss 2, Pp 271-273 (2015) |
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Special aspects of education LC8-6691 Biology (General) QH301-705.5 |
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Special aspects of education LC8-6691 Biology (General) QH301-705.5 Anne M. Estes Modeling the Dynamic Digestive System Microbiome |
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“Modeling the Dynamic Digestive System Microbiome” is a hands-on activity designed to demonstrate the dynamics of microbiome ecology using dried pasta and beans to model disturbance events in the human digestive system microbiome. This exercise demonstrates how microbiome diversity is influenced by: 1) niche availability and habitat space and 2) a major disturbance event, such as antibiotic use. Students use a pictorial key to examine prepared models of digestive system microbiomes to determine what the person with the microbiome “ate.” Students then model the effect of taking antibiotics by removing certain “antibiotic sensitive” pasta. Finally, they add in “environmental microbes” or “native microbes” to recolonize the digestive system, determine how resilient their model microbome community is to disturbance, and discuss the implications. Throughout the exercise, students discuss differences in the habitat space available and microbiome community diversity. This exercise can be modified to discuss changes in the microbiome due to diet shifts and the emergence of antibiotic resistance in more depth. |
format |
article |
author |
Anne M. Estes |
author_facet |
Anne M. Estes |
author_sort |
Anne M. Estes |
title |
Modeling the Dynamic Digestive System Microbiome |
title_short |
Modeling the Dynamic Digestive System Microbiome |
title_full |
Modeling the Dynamic Digestive System Microbiome |
title_fullStr |
Modeling the Dynamic Digestive System Microbiome |
title_full_unstemmed |
Modeling the Dynamic Digestive System Microbiome |
title_sort |
modeling the dynamic digestive system microbiome |
publisher |
American Society for Microbiology |
publishDate |
2015 |
url |
https://doaj.org/article/1ad5c85e1911484fb9fc48237c733f19 |
work_keys_str_mv |
AT annemestes modelingthedynamicdigestivesystemmicrobiome |
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1718428297373679616 |