DOI: 10.5061/dryad.5qfttdzgf
title: Trait data for the evolution of plasticity in pairwise competitive and mutualistic community of brewer's yeast

description: Phenotypic plasticity allows organisms to change their phenotypes in
 response to changing local conditions quickly in order to better
 function.  Plasticity in response to abitoic factors such as
 temperature, light, and salinity for example have been well
 documented.  What is less clear is how species interactions can
 influence the evolution of phenotypic plasticitiy as species adapt and
 interact with one another.  To study this question we used a
 synthetic mutualism based on genetically modified brewer's yeast
 (Saccharomyces cerevisiae) that overproduce a certain resource but cannot
 produce one needed by its partner strain.  In this study system,
 we paired one yeast strain that overproduces adenine, but cannot produce
 lysine, and another strain that overproduces lysine but cannot produce
 adenine. When placed together in media they can cross feed one another and
 form a mutualism.  We also paired strains that just had a
 knockout for adenine or lysine under competition.  The goal of
 the study was to examine how phenotypic plasticity in growth rate and
 resource use efficiency changed after four weeks of evolution in
 continuous culture. We compared changes in growth rate, resource use
 efficiency and their plasticity for strains grown alone or with a
 mutualistic or competitive partner. Strains grown with a competitor had
 changes in growth rate, while those grown with a mutualist had changes in
 resource use efficiency.  Plasticity for these traits changed
 very little, suggesting that there was not strong selection on plasticity
 evolution. This dataset and R code used to analyze the evolution of growth
 rate and yield and their plasticities from pairwise communities of
 brewer's year evolved with a competitor or mutualist partner
 strain. 
description: Yeast strains were evolved for 4 weeks either alone, or with a
 competitor or mutualist strain.  Each strain was then phenotyped for
 growth rate and yield in low and high nutrient environments by assessing
 population via optical density.  Data were entered into MS Excel and used
 in R statistical software to evaluate the amount of change in traits and
 their plasticity.
description: # Trait data for the evolution of plasticity in pairwise competitive and
 mutualistic community of brewer's yeast
 [https://doi.org/10.5061/dryad.5qfttdzgf](https://doi.org/10.5061/dryad.5qfttdzgf) ## Description of the data and file structure Strains of genetically engineered brewer's yeast we evolved alone, with a competitor strain, or with a mutualist strain for four weeks.  Strains were then phenotyped for growth rate, yield and plasiticity in these traits.   ### Files and variables #### File: YeastPP\_Data.xlsx **Description:** Data used in statistical comparisons ##### Variables * strain-- strain identification number * adelyse-- does strain make adenine or lysine * wo-- OP is overproduction and WT is wildtype production * marker-- null alleles for histine or leucine to use in selective plating * plateN-- which deepwell plate was strain evolved in * location-- row and column information for well in deepwell plate * genotype--which strains were growing in well * treatment-- growth in 0.1X or 0.6X media, -F media type were not used in publication * date * week-- week since starting evolution experiment * ancestral-- ancestral or evolved version of strain * block-- measurement block * b_location-- row and column location for deepwell * growthenv-- type of media grow in for pheonotyping * cultureID-- unique identifier for replicate of a strain * growth--number of hours of growth before measurement * spec-- reading from spectrophotometer * 100 * dilution-- dilution factor * od-- reading from spectrophotometer * note-- additional observations * Missing data code: NA ## Code/software R statistical package and indicated libraries in R code