Data from: The cost of being big: local competition, importance of dispersal and experimental evolution of reversal to unicellularity
| Main Authors: | Rebolleda-Gomez, Maria, Travisano, Michael |
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| Format: | info dataset Journal |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/5015246 |
Daftar Isi:
- Multicellularity provides multiple benefits. Nonetheless, unicellularity is ubiquitous and there have been multiple cases of evolutionary reversal to a unicellular organization. In this paper, we explore some of the costs of multicellularity as well as the possibility and dynamics of evolutionary reversals to unicellularity. We hypothesize that recently evolved multicellular organisms would face a high cost of increased competition for local resources in spatially structured environments because of larger size and increased cell densities. To test this hypothesis we conducted competition assays, computer simulations, and selection experiments using isolates of Saccharomyces cerevisiae that recently evolved multicellularity. In well-mixed environments, multicellular isolates had lower growth rates relative to their unicellular ancestor due to limitations of space and resource acquisition. In structured environments with localized resources, cells in both multicellular and unicellular isolates grew at a similar rate. Despite similar growth, higher local density of cells in multicellular groups led to increased competition and higher fitness costs in spatially structured environments. In structured environments all of the multicellular isolates rapidly evolved a predominantly unicellular life cycle, while in well-mixed environments reversal was more gradual. Taken together, these results suggest that a lack of dispersal, leading to higher local competition, might have been one of the main constraints in the evolution of early multicellular forms.
- Directory with cluster size measurmentsData from reversibility experiment and R code to analyze data and make figure 5.Biomass.zipFitnessCostsDirectory with data and R code to make figure 2. (Competition assays). README file (biomass) contains metadata for all the files.GrowthR code and data from growth curves and BSA standards. For figures 1 and A2 and estimating the growth parameters used in the spatial simulations.SpatialModelCode for model simulations and data to calculate mean number of cells in multicellular clusters.Funding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: DEB- 1051115