The effect of migration and variation on populations of Escherichia coli adapting to complex fluctuating environments
Data files
Aug 29, 2022 version files 69.01 KB
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FitnessMeasuredasGrowthRateandYield.csv
28.34 KB
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GeometricMeanofGrowthduringSelection.csv
2.86 KB
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ProbabilityofExtinctionduringSelection.csv
2.75 KB
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QuantificationofWithin-PopulationVariation.csv
29.09 KB
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README.txt
5.98 KB
Sep 21, 2022 version files 89.24 KB
Abstract
Migration, a critical evolutionary force, can have contrasting effects on adaptation. It can aid as well as impede adaptation. The effects of migration on microbial adaptation have been studied primarily in simple constant environments. Very little is known about the effects of migration on adaptation to complex, fluctuating environments. In our study, we subjected replicate populations of Escherichia coli, adapting to complex and unpredictably fluctuating environments to different proportions of clonal ancestral immigrants. Contrary to the results from simple/constant environments, the presence of clonal immigrants reduced all measured proxies of fitness. However, migration from a source population with a greater variance in fitness resulted in no change in fitness w.r.t the no-migration control, except at the highest level of migration. Thus, the presence of variation in the immigrants could counter the adverse effects of migration in complex and unpredictably fluctuating environments. Our study demonstrates that the effects of migration are strongly dependent on the nature of the destination environment and the genetic makeup of immigrants. These results enhance our understanding of the influences of migrating populations, which could help better predict the consequences of migration.
Methods
This data was collected in the lab.
Usage notes
The dataset contains a README file (.txt) and five .csv files as follows:
1. GeometricMeanofGrowthduringSelection.csv
2. ProbabilityofExtinctionduringSelection.csv
3. FitnessMeasuredasGrowthRateandYield.csv
4. QuantificationofWithin-PopulationVariation.csv
5. RawOD_Values_during_Selection.csv
The README file contains descriptions of the legends of each .csv file as well as the environments in which the assays happened.