Data from: Phenotypic stutter steps in experimentally evolved multicellularity

Data are the raw results of the investigation entitled; Phenotypic stutter steps in experimentally evolved multicellularity

In this study, we carried out a NetLogo agent-based model simulation of the multicellular snowflake yeast growth. Populations characterization was conducted with a Coulter Counter multisize 4 and FlowCam 3. The populations studied were the genetically uniform diploid wild-type Saccharomyces cerevisiae Y55 strain clones, C1W8.1 and C1W8.2 multicellular evolved strains, constructed ACE2 gene knockouts, and strains containing the missense mutation (ACE2 c.1934 A>T). The population data represent the six independent isolates per strain in two different media, YPD and SD.

Files:

• NetLogo Agent Base model: Netlogo Snowflake 3D.nlogo3d (model) and Data_NETLOGO_model.csv (data obtained from the model used in the paper).
• Coulter Counter size distribution data of all the populations: 
  • Counter_Counter_Raw_data.xls: Data from Saccharomyces cerevisiae Y55 strain clones, C1W8.1 and C1W8.2 multicellular evolved strains, constructed ACE2 gene knockouts, and strains containing the missense mutation (ACE2 c.1934 A>T) in YPD and SD at 24h growth. 
  • Coulter_Counter_Raw_data_heterozygous_contructions: Size distributions of the heterozygote construct knockout (ACE2/ace2Δ) and homozygous missense (ACE2/ace2Δ) in YPD and SD at 24h growth. 
• FlowCam image data:
  • FlowCamPicturesData.zip: Pictures generated by the FlowCam.
  • Flow_Cam_Raw data.xls: FlowCam data from Saccharomyces cerevisiae Y55 strain clones, C1W8.1 and C1W8.2 multicellular evolved strains, constructed ACE2 gene knockouts, and strains containing the missense mutation (ACE2 c.1934 A>T) in YPD and SD at 24h growth. 
• Date generated statistically:
  • Biomadality_mixEM_data.xlsx: non-Gaussian bimodal distributions for Coulter Counter data multicellular strains.
  • bootstrapped_means.csv: bootstrapped means from the Coulter Counter data to calculate the relative contributions to phenotypic variation.
  • bootstrapped_vars.csv: bootstrapped variance from the Coulter Counter data to calculate the phenotypic noise.
  • Heatmap_overlap_distributions_raw_data.csv:  overlapping indexes (η) of the KDE distributions were computed using the R-package ‘overlapping’ from the Coulter Counter data.