Published April 26, 2021
| Version v1
Software
Open
Adaptation at different points along antibiotic concentration gradients
Authors/Creators
- 1. University of Manchester
- 2. Max Planck Institute for Evolutionary Biology
- 3. University of Copenhagen
Description
Antibiotic concentrations vary dramatically in the body and the environment. Hence, understanding the dynamics of resistance evolution along antibiotic concentration gradients is critical for predicting and slowing the emergence and spread of resistance. While it has been shown that increasing the concentration of an antibiotic slows resistance evolution, how adaptation to one antibiotic concentration correlates with fitness at other points along the gradient has not received much attention. Here, we selected populations of Escherichia coli at several points along a concentration gradient for three different antibiotics, asking how rapidly resistance evolved and whether populations became specialized to the antibiotic concentration they were selected on. Populations selected at higher concentrations evolved resistance more slowly but exhibited equal or higher fitness across the whole gradient. Populations selected at lower concentrations evolved resistance rapidly, but overall fitness in the presence of antibiotics was lower. However, these populations readily adapted to higher concentrations upon subsequent selection. Our results indicate that resistance management strategies must account not only for the rates of resistance evolution but also for the fitness of evolved strains.
Notes
Files
anova_area.txt
Files
(7.4 MB)
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md5:bee42e02d3bf6cdfa971551fb5806b93
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3.7 kB | Download |
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md5:2b388ecf458e7bda53aafe2477a87708
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1.2 kB | Download |
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md5:8895f0b7a92729f7397bfa93aedd6b5c
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1.1 kB | Download |
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md5:fbc4d1c2fe9f0b6a18bea8ddba70a3f6
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3.2 kB | Preview Download |
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md5:83dc9cdd8326d6657cd16506c7f65b91
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3.7 kB | Download |
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md5:bc0d21e78012a522c2d3ad5275df67df
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191 Bytes | Preview Download |
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md5:a6d1468cdcc0056ceb71e0c7e8ae6e88
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190 Bytes | Preview Download |
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md5:08f980342284d631a9fbcf7ffa4f1974
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1.1 kB | Download |
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md5:d992055a525ae54dbd1fd68c78388e32
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2.5 kB | Preview Download |
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md5:03669cc0245535c8b218121237048512
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3.6 kB | Download |
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md5:0374c1c65eab99bb3ea94cca0f5568f7
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188 Bytes | Preview Download |
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md5:e539e2bd660d3817e2103cdcddd28ddc
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187 Bytes | Preview Download |
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md5:99f1c76edf3f7b8f429bce2ac3e7e1a4
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188 Bytes | Preview Download |
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md5:83037397f79beb865f9b89a55881d2d8
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187 Bytes | Preview Download |
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md5:eefd3b169f1e46be83ef774b0451bb6f
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1.8 kB | Preview Download |