Projects per year
Abstract
Eukaryotic genomes often encode multiple transporters for the same nutrient. For example, budding yeast has 17 hexose transporters (HXTs), all of which potentially transport glucose. Using mathematical modelling, we show that transporters that use either facilitated diffusion or symport can have a rate-affinity trade off, where an increase in the maximal rate of transport decreases the transporter’s apparent affinity. These changes affect the import flux non monotonically, and for a given concentration of extracellular nutrient there is one transporter, characterised by its affinity, that has a higher import flux than any other. Through encoding multiple transporters, cells can therefore mitigate the trade off by expressing those transporters with higher affinities in lower concentrations of nutrients. We verify our predictions using fluorescent tagging of seven HXT genes in budding yeast and follow their expression over time in batch culture. Using the known affinities of the corresponding transporters, we show that the irregulation in glucose is broadly consistent with a rate-affinity trade off: as glucose falls, the levels of the different transporters peak in an order that mostly follows their affinity for glucose. More generally, evolution is constrained by trade offs. Our findings indicate that one such trade off often occurs in the cellular transport of nutrients.
Original language | English |
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Article number | e1010060 |
Number of pages | 15 |
Journal | PLoS Computational Biology |
Volume | 18 |
Issue number | 4 |
DOIs | |
Publication status | Published - 25 Apr 2022 |
Keywords
- Glucose/metabolism
- Membrane Transport Proteins/genetics
- Monosaccharide Transport Proteins/genetics
- Nutrients
- Saccharomyces cerevisiae Proteins/genetics
- Saccharomyces cerevisiae/genetics
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Dive into the research topics of 'Multiple nutrient transporters enable cells to mitigate a rate-affinity tradeoff'. Together they form a unique fingerprint.Projects
- 1 Finished
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Understanding the regulation of glucose sensing and transport in budding yeast using dynamic inputs
6/01/18 → 30/11/21
Project: Research
Datasets
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Analysing and meta-analysing time-series data of microbial growth and gene expression from plate readers
Montano Gutierrez, L. F. (Creator), Manzanaro Moreno, N. (Creator) & Swain, P. (Creator), Edinburgh DataShare, 16 Dec 2021
DOI: 10.7488/ds/3263
Dataset