DOI: 10.5061/dryad.pk0p2nh35
title: Data from: Evidence for toxin-encoding coinfections driving intransitive dynamics between allelopathic phenotypes in natural yeast populations

description: The available datasets include natural yeast isolate survey data collected
 across three years, including microsatellite information and metadata, as
 well as data from a follow-up time-shift experiment designed to test
 whether the distributions of wild yeast isolates are influenced by whether
 or not they have resistance to the toxins produced by killer yeast in the
 population.
description: Wild <em>Saccharomyces cerevisiae</em> isolates were
 collected from vineyards across New Zealand in 2018, 2019, and 2021.
 Colonies from wine ferments were picked and genotyped using microsatellite
 markers. Each isolate was then screened for dsRNA infections, focusing on
 totiviruses and toxin-encoding satellites. We first analyzed whether
 specific genotypes were associated with these toxin-encoding coinfections.
 Upon identifying a genotype that exhibited a significant decline across
 its entire range from one year to the next, we conducted time-shift killer
 assays. These assays tested whether competitors of the killer genotype in
 sympatric sites were resistant to the toxin, whether competitors in
 allopatric sites were susceptible, and whether isolates from sympatric
 sites, after the killer genotype had disappeared, were also sensitive,
 suggestive of a re-emergence of toxin sensitivity in the absence of the
 killer genotype. 
description: # Data from: Evidence for toxin-encoding coinfections driving intransitive
 dynamics between allelopathic phenotypes in natural yeast populations
 Dataset DOI:
 [10.5061/dryad.pk0p2nh35](https://doi.org/10.5061/dryad.pk0p2nh35) ##
 Description of the data and file structure ### Files and variables ####
 File: NZ_YeastMetapopulation_Metadata_ConservativeGenotyping_DRYAD.csv
 **Description:** Microsatellite genotype, infection state, and geographic
 data for 536 wild yeast isolates from vineyards across New Zealand in
 2018, 2019 and 2021. ##### Variables * AlternativeID - Unique identifier
 for all yeast isolates; * Name - Unique identifier for all yeast isolates;
 * FullName - Unique identifier for all yeast isolates; * Year - The year
 the yeast isolate was sampled; * Cultivar - Cultivar of grape that the
 yeast isolate was sampled from; * Region - Region of New Zealand sampled
 from. Either Hawke's Bay or Marlborough; * Vineyard - Identification
 code for the vineyard that the yeast isolate was sampled from; * Latitude
 - The latitude of the vineyard from which the yeast isolate was sampled; 
 * Longitude - The longitude of the vineyard from which the yeast isolate
 was sampled;  * Genotype: Genotype assigned by customised genotype
 assignment algorithm; * dsRNA infection assignment - virus-free (VF),
 totivirus infection (HVO) & totivirus-satellite coinfection (KV); * 8
 diploid microsatellite loci (16 columns, 2 for each microsatellite locus,
 including mating type loci); #### File:
 TimeSpaceShiftExperimentData_Dryad.csv **Description:** Time-space shift
 competition assays data. Killer yeast genotype competed against sympatric
 and allopatric competitors from the year it was present and the year it
 went extinct.  ##### Variables * PlateID - identification code for plate
 that assay was conducted on; * Stamp - Killer genotype isolate code; *
 Lawn - Competitor isolate code; * Inhibition (binary response variable) -
 whether the killer genotype could kill the competitor or not; *
 FocalMLG_Vineyard - Vineyard from which the focal killer yeast genotype
 was sampled from; * Cohabitation - allopatric (competitor from different
 location) or sympatric (competitor from same location as killer genotype);
 * Concurrence - Contemporary (competition sampled from the same year as
 the killer genotype) and Thereafter (competitor sampled from the year
 after the killer genotype went extinct);