Open Research Data Portal
DOI for Scientific and Technical Data
https://www.doi.org/10.4228/ZALF.DK.93
Title
Solving the puzzle of yeast survival in ephemeral nectar systems: exponential growth is not enough
Citation
Hausmann, Sebastian Lars; Rillig, Mathias (2019) Solving the puzzle of yeast survival in ephemeral nectar systems: exponential growth is not enough; https://www.doi.org/10.4228/ZALF.DK.93
Publisher
Leibniz Centre for Agricultural Landscape Research (ZALF)
Dates
Collected: 2016-02-01/2016-11-19
Contributor(s)
DataCollector: Hausmann, Sebastian Lars (ZALF)
Researcher: Hausmann, Sebastian Lars (ZALF, Freie Universität Berlin)
Supervisor: Rillig, Mathias (ORCID: 0000-0003-3541-7853) (Freie Universität Berlin)
Creator(s)
Hausmann, Lars (ZALF, Freie Universität Berlin)
Rillig, Mathias (ORCID: 0000-0003-3541-7853)
Subject(s)
AGROVOC: Biodiversity; Evolution; Nectar; Yeasts; Pollination; Growth rate;
GEMET: biodiversity; ecological community; landscape ecology; evolution; animal behaviour; yeast
Description
Abstract:
We here examine how sufficiently high cell densities of nectar yeast can develop in a flower. In laboratory experiments, we determined the remaining fraction of nectar yeast cells after nectar removal, and used honeybees to determine the number of transmitted yeast cells from one flower to the next. The results of these experiments directly fed into a simulation model providing an insight into movement and colonization ecology of nectar yeasts.

To understand the effect of many consecutive pollination events on population size and dispersal potential we developed a stochastic simulation model (NetLogo 5.3.1; Wilensky 1999) of nectar yeasts in one single flower. The model calculates the population size and the amount of dispersed cells of a single nectar yeast population over time, dependent on: pollination time and chance, inoculated cells during first pollination event, transmitted cells to the next flower, cells that remain in the flower during pollination, nectar production rate and growth rate of yeast cells with lag phase. Modelling was done with NetLogo 5.3.1 (Wilensky 1999). The model works stochastically, exclusively with global variables without individuals or space. One time step is one hour.

Funding Reference
funderName: German Research Foundation, GRID: 424150.6
awardNumber: DFG GRK 2118/1
awardTitle: BioMove Research Training Group
Alternate Identifier
P09
Related Identifier
IsDocumentedBy DOI: https://www.doi.org/10.1093/femsec/fix150
Language
English
Location
Quillow, Uckermark, Germany
Data Format
csv
Size
19.6 MB
Type of Resource
Dataset: Table
Rights
Creative Commons Attribution 4.0
Structure of Data Table(s)
Table A_PercRem
Yeast cells that remain in a cup (96 Well Plate) after three days of growth when medium is extracted with a pipette, one groups was shaken before extraction, another group not, different cell densities and two species, calculated from Optical density
Column name Unit Description Instrument Method
species - two yeast species (Metschnikowia reukauffii, Candida rancensis) - -
plate - number of 96-well plate, 4 in total - -
replication - one of four replications (A, B, C, D) - -
treatment - number gives how often nectar shall be exchanged till end of experiment - -
shaking y/n was nectar shaken before extraction? y=yes, n=no - -
code - Code contains abbreviation for species, treatment, shaking - -
time -
number gives how often nectar was exchanged already before
- -
PercRem % remaining cells after nectar extraction Benchmark Plus microplate spectrophotometer optical density measurement

Table B_Transportation
Yeast cells that stick on the proboscis (tongue) of a honeybee after the bee soaked up nectar with a defined number of yest cells, 2 yeast species, 3 different cell concentrations
Column name Unit Description Instrument Method
date_ yyyy-mm-dd date    
species - two yeast species (Metschnikowia reukauffii, Candida rancensis)    
concentration µl target cell concentration (100, 1000 and 10000 cells per microliter)    
volume µl volume in microliter    
total_cells - total cells in cup (concentration times volume)    
cellnumber - Number of yeast cells sticking on the tongue (proboscis) of a bee yeast mold (YM) agar plates (1% sugar) counting
cellnumber_prop % Proportion of yeast cells sticking on the tongue (proboscis) of a bee from the number of with nectar uptaken cells before yeast mold (YM) agar plates (1% sugar) counting
Rep - one of five repetitions per species and concentration    

Table C_Dispersal
Yeast cells that are transported after a honeybee took up a defined number of cells, from the first (source) cup to two following cups after the bee drunk from it
Column name Unit Description Instrument Method
species - two yeast species (Metschnikowia reukauffii, Candida rancensis) - -
date_exp yyyy-mm-dd date of experiment - -
date_count yyyy-mm-dd
date when yeasts from agar plates are counted
- -
vol µl volume - -
cell_conc cells µm-1 target cell concentration (100, 1000 and 10000 cells per microliter) from source cup - -
repetition - individual number of repetition - -
cells_total - total cells in source cup - -
controll_cells - cells from source cup grown on agar (control) - -
dispersed_cells_prop - number of remaining cells in cups in percent (from source cup) yeast mold (YM) agar plates (1% sugar) counting
dispersed_cells - Number of yeast cells remaining in a cup after a honeybee drunk all nectar yeast mold (YM) agar plates (1% sugar) counting
cup_nr - cup nr., 1=first cup, 2=second cup (not source cup) - -

Model_Nectaryeast_growth

Modelling was done with NetLogo 5.3.1 (Wilensky 1999). The model works stochastically, exclusively with global variables without individuals or space. One time step is one hour.

Column name Unit Description Instrument Method

runsindex

- Individual number of repetition - -

startcells

- number of added cells at first pollination event (startcells, 0 to 1000) - -
growthrate % growth rate of yeast cells per hour in percent (growthrate, 1 to 25 %) - -
addedcells_stable - number of added cells for later pollination events (addedcells, 0 to 1000) - -
remainingcells % remaining fraction of cells during pollination event in percent (remainingcells, 1 to 100%) - -
pollination_chance % chance of pollination event per hour (pollination_chance, 1 to 100%) - -
nectarproderh % nectarproduction per hour (nectarprodperh, 10 to 100%) - -
polltiminhours time when pollinators are active (polltimemin and polltimemax, 1 to 24 hours) - -
polltimemaxhours time when pollinators are active (polltimemin and polltimemax, 1 to 24 hours) - -
maxdays- maximum number of days the model is running (maxdays, 1 to 10) - -
maxpollinations- maximum number of pollination events until flower is fully pollinated (maxpollinations, 1 to 10) - -
nectarprod_stopsy/n yes or no, nectarproduction stops or not after flower is fully pollinated - -
maxnectar- maximum amount of nectar in µl (maxnectar, fixed to 1 in our simulation) - -
dispersalrate% percent of cells that will be dispersed if dispersal is succesful (dispersalrate, 0.1 to 10 %) - -
laghhours lag phase in hours, time between cell inoculation and cell growth starts (lagphase, 1 to 24 hours) - -
X_steps- Number of steps when simulation stops (flower is fully pollinated or maxdays is over) - -
maxcells- maximum number of yeast cells if maximum nectar is available (maxcells, 1 to 100.000) - -
dispersedtotal- total number of dispersed yeast cells over all steps NetLogo 5.3.1 modelling
nyeast_maxcells µm-1 highest yeast cell density over all steps NetLogo 5.3.1 modelling
View Sample Data
Table DK_93_A_PercRem
Table DK_93_B_Transportation
Table DK_93_C_Dispersal
Table DK_93_Model_Nectaryeast_growth
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