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Emergence of microbial diversity due to cross-feeding interactions in a spatial model of gut microbial metabolism

Overview of attention for article published in BMC Systems Biology, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#49 of 1,131)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
11 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
95 Dimensions

Readers on

mendeley
251 Mendeley
citeulike
3 CiteULike
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Title
Emergence of microbial diversity due to cross-feeding interactions in a spatial model of gut microbial metabolism
Published in
BMC Systems Biology, May 2017
DOI 10.1186/s12918-017-0430-4
Pubmed ID
Authors

Milan J. A. van Hoek, Roeland M. H. Merks

Abstract

The human gut contains approximately 10(14) bacteria, belonging to hundreds of different species. Together, these microbial species form a complex food web that can break down nutrient sources that our own digestive enzymes cannot handle, including complex polysaccharides, producing short chain fatty acids and additional metabolites, e.g., vitamin K. Microbial diversity is important for colonic health: Changes in the composition of the microbiota have been associated with inflammatory bowel disease, diabetes, obesity and Crohn's disease, and make the microbiota more vulnerable to infestation by harmful species, e.g., Clostridium difficile. To get a grip on the controlling factors of microbial diversity in the gut, we here propose a multi-scale, spatiotemporal dynamic flux-balance analysis model to study the emergence of metabolic diversity in a spatial gut-like, tubular environment. The model features genome-scale metabolic models (GEM) of microbial populations, resource sharing via extracellular metabolites, and spatial population dynamics and evolution. In this model, cross-feeding interactions emerge readily, despite the species' ability to metabolize sugars autonomously. Interestingly, the community requires cross-feeding for producing a realistic set of short-chain fatty acids from an input of glucose, If we let the composition of the microbial subpopulations change during invasion of adjacent space, a complex and stratified microbiota evolves, with subspecies specializing on cross-feeding interactions via a mechanism of compensated trait loss. The microbial diversity and stratification collapse if the flux through the gut is enhanced to mimic diarrhea. In conclusion, this in silico model is a helpful tool in systems biology to predict and explain the controlling factors of microbial diversity in the gut. It can be extended to include, e.g., complex nutrient sources, and host-microbiota interactions via the intestinal wall.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Taiwan 1 <1%
Unknown 249 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 22%
Researcher 37 15%
Student > Master 30 12%
Student > Bachelor 27 11%
Student > Doctoral Student 13 5%
Other 31 12%
Unknown 59 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 23%
Biochemistry, Genetics and Molecular Biology 41 16%
Immunology and Microbiology 15 6%
Engineering 12 5%
Medicine and Dentistry 12 5%
Other 48 19%
Unknown 66 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 May 2022.
All research outputs
#2,313,638
of 24,885,505 outputs
Outputs from BMC Systems Biology
#49
of 1,131 outputs
Outputs of similar age
#42,282
of 315,967 outputs
Outputs of similar age from BMC Systems Biology
#1
of 20 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,131 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,967 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.