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Resource constrained flux balance analysis predicts selective pressure on the global structure of metabolic networks

Overview of attention for article published in BMC Systems Biology, November 2015
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Title
Resource constrained flux balance analysis predicts selective pressure on the global structure of metabolic networks
Published in
BMC Systems Biology, November 2015
DOI 10.1186/s12918-015-0232-5
Pubmed ID
Authors

Nima Abedpour, Markus Kollmann

Abstract

A universal feature of metabolic networks is their hourglass or bow-tie structure on cellular level. This architecture reflects the conversion of multiple input nutrients into multiple biomass components via a small set of precursor metabolites. However, it is yet unclear to what extent this structural feature is the result of natural selection. We extend flux balance analysis to account for limited cellular resources. Using this model, optimal structure of metabolic networks can be calculated for different environmental conditions. We observe a significant structural reshaping of metabolic networks for a toy-network and E. coli core metabolism if we increase the share of invested resources for switching between different nutrient conditions. Here, hub nodes emerge and the optimal network structure becomes bow-tie-like as a consequence of limited cellular resource constraint. We confirm this theoretical finding by comparing the reconstructed metabolic networks of bacterial species with respect to their lifestyle. We show that bow-tie structure can give a system-level fitness advantage to organisms that live in highly competitive and fluctuating environments. Here, limitation of cellular resources can lead to an efficiency-flexibility tradeoff where it pays off for the organism to shorten catabolic pathways if they are frequently activated and deactivated. As a consequence, generalists that shuttle between diverse environmental conditions should have a more predominant bow-tie structure than specialists that visit just a few isomorphic habitats during their life cycle.

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X Demographics

The data shown below were collected from the profiles of 3 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Sweden 1 2%
Colombia 1 2%
Russia 1 2%
Singapore 1 2%
Unknown 45 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 25%
Student > Master 10 20%
Student > Ph. D. Student 10 20%
Student > Doctoral Student 4 8%
Student > Postgraduate 2 4%
Other 4 8%
Unknown 8 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 27%
Biochemistry, Genetics and Molecular Biology 10 20%
Computer Science 3 6%
Engineering 3 6%
Chemical Engineering 2 4%
Other 6 12%
Unknown 13 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 February 2021.
All research outputs
#14,718,998
of 23,577,654 outputs
Outputs from BMC Systems Biology
#544
of 1,139 outputs
Outputs of similar age
#206,084
of 389,551 outputs
Outputs of similar age from BMC Systems Biology
#17
of 39 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,139 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 389,551 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.