Raw data and R code for statistical analyses from: Sensory trap leads to reliable communication without a shift in nonsexual responses to the model cue
Data files
Feb 09, 2024 version files 83.50 KB
Abstract
The sensory trap model of signal evolution suggests that males manipulate females into mating using traits that mimic cues used in a nonsexual context. Despite much empirical support for sensory traps, little is known about how females evolve in response to these deceptive signals. Female sea lamprey (Petromyzon marinus) evolved to discriminate a male sex pheromone from the larval odor it mimics and orient only towards males during mate search. Larvae and males release the attractant 3-keto petromyzonol sulfate (3kPZS), but spawning females avoid larval odor using the pheromone antagonist, petromyzonol sulfate (PZS), which larvae but not males, release at higher rates than 3kPZS. We tested the hypothesis that migratory females also discriminate between larval odor and the male pheromone and orient only to larval odor during anadromous migration, when they navigate within spawning streams using larval odor before they begin mate search. In-stream behavioral assays revealed that, unlike spawning females, migratory females do not discriminate between mixtures of 3kPZS and PZS applied at ratios typical of larval versus male odorants. Our results indicate females discriminate between the sexual and nonsexual sources of 3kPZS during but not outside of mating and show sensory traps can lead to reliable sexual communication without females shifting their responses in the original context.
README: Raw Data and R Code for Statistical Analyses - Sensory trap leads to reliable communication without a shift in nonsexual responses to the model cue
https://doi.org/10.5061/dryad.ttdz08m5b
This dataset contains the raw behavioral data collected via passive integrated transponder technology during in-stream behavioral trials and the chemical quantification data for the compounds 3-keto petromyzonol sulfate (3kPZS) and petromyzonol sulfate (PZS). Chemical quantification of these two compounds was conducted using liquid chromatography tandem mass spectrometry (LC-MS/MS)
Description of the data and file structure
There are two separate files included, 1) an excel datasheet that contains the raw behavioral data and LC-MS/MS data for quantification of 3kPZS and PZS in spermiated male washings (SMW) and larval extract (LE) and 2) a word document that provides the R code and outputs of statistical analyses conducted on behavioral data.
The Excel file has 3 tabs that include raw behavioral data, quantification of 3kPZS and PZS in SMW using LC-MS/MS, data for quantification of 3kPZS and PZS in LE using LC-MS/MS
- Tab 1 Title: Raw Behavioral Data - data collected during behavioral experiments and used for statistical analyses
* Trial - trial number
* TrialTime - was a trial the 1st, 2nd, or 3rd behavioral trial on a given night
* WaterTemp - water temperature measured using handheld thermometer
* TempDifference - difference in water temperature between the start and end of a given trial
* Treatment - the pheromone treatment applied during a given trial
* TreatmentSide - channel side a treatment was applied to
* LeftOdor - treatment applied to left channel
* RightOdor - treatment applied to right channel
* OdorRight - binary variable signifying whether the treatment was applied to the right or left channel (1 = treatment applied to right, 0 = treatment applied to left)
* OdorEntered - the treatment applied to a given channel that an individual entered first
* EnterRight - binary variable signifying whether a lamprey entered the right or left channel (1 = entered right channel, 0 = entered left channel)
* EnterOdor - binary variable signifying whether a lamprey entered the applied pheromone treatment (1 = entered pheromone treatment, 0 = entered vehicle control treatment)
* Upstream - binary variable signifying whether a lamprey swam upstream to the odor choice point and entered a channel (1 = swam upstream and entered a channel, 0 = did not enter a channel)
2. Tab 2 Title: LC-MS MS Data (SMW) - chemical quantification results of 3kPZS and PZS in SMW
3. Tab 3 Title: LC-MS MS Data (LE) - chemical quantification results of 3kPZS and PZS in LE
The word document is an R Markdown output that provides the code used for statistical analyses along with statistical outputs for all statistical tests and analyses.
Sharing/Access information
This data is not available anywhere else. Contact to Skye Fissette for any data related questions/clarification.
Code/Software
All R code, scripts, and statistical outputs have been provided in the word document.
All statistical analyses were conducted in R v3.5.1 (Team 2018). The proportions of migratory females entering each sub-channel were analyzed using a mixed-effects logistic regression model with a binomial distribution. A separate model was run for each treatment, and all models evaluated the effect of odor on which sub-channel a migratory female entered and tested for channel bias. All analyses used the lme4 (Bates et al. 2015) and car (Fox et al. 2012) packages with type III sums of squares (α = 0.05). For all treatments, only migratory females that swam upstream from the release point and entered a sub-channel were included in statistical analyses. For the negative control, a “treatment” side was randomly assigned for the first trial and alternated across subsequent trials.
Methods
All behavioral data was collected using passive integrated transponder technology during in-stream behavioral assays (see Methods section for specific details). All statistical analyses were conducted in R v3.5.1 (Team 2018). The proportions of migratory females entering each sub-channel were analyzed using a mixed-effects logistic regression model with a binomial distribution. A separate model was run for each treatment, and all models evaluated the effect of odor on which sub-channel a migratory female entered and tested for channel bias. All analyses used the lme4 (Bates et al. 2015) and car (Fox et al. 2012) packages with type III sums of squares (α = 0.05). For all treatments, only migratory females that swam upstream from the release point and entered a sub-channel were included in statistical analyses. For the negative control, a “treatment” side was randomly assigned for the first trial and alternated across subsequent trials. Quantification of chemical components present in LE and SMW was conducted using liquid chromatography tandem mass spectrometry (LC-MS/MS).