Raw data and outputs from: Sensory trap leads to reliable communication without a shift in nonsexual responses to the model cue
Cite this dataset
Fissette, Skye et al. (2024). Raw data and outputs from: Sensory trap leads to reliable communication without a shift in nonsexual responses to the model cue [Dataset]. Dryad. https://doi.org/10.5061/dryad.sj3tx96bv
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 Output - Sensory trap leads to reliable communication without a shift in nonsexual responses to the model cue
https://doi.org/10.5061/dryad.sj3tx96bv
The dataset included 2 files. The first is an excel file that contains the raw behavioral data used for statistical analyses and chemical quantification data of 3-keto petromyzonol sulfate (3kPZS) and petromyzonol sulfate (PZS) in spermiated male washings (SMW) and larval extract (LE). The second is a word document containing the R code used to conduct statistical analyses as well as the statistical outputs of analyses.
Description of the data and file structure
The excel file contains 3 tabs
- Tab 1: Raw Behavioral Data - the raw data collected during behavioral experiments and used for statistical analyses
* Trial - overall trial number
* Date - trial date (Day-Month-Year)
* TrialTime - 3 trials were conducted each night, this indicates the trial time (1st, 2nd, or 3rd) on any given night
* WaterTemp - water temperature measured via handheld thermometer (°C) at the start of a behavioral trial
* TempDifference - difference in water temperature from the end to the start of the trial (°C)
* Treatment - pheromone treatment applied during a given trial
* TreatmentSide - channel side (left or right - looking upstream) the treatment was applied to
* LeftOdor - treatment applied to the left channel
* RightOdor - treatment applied to the right channel
* OdorRight - binary variable signifying whether the pheromone treatment was applied to the right channel (1 = treatment applied to right, 0 - treatment applied to left channel)
* OdorEntered - the odor treatment applied to the channel that an individual sea lamprey entered
* EnterRight - binary variable signifying whether a sea lamprey entered the right channel (1 = entered right channel, 0 = entered left channel)
* EnterOdor - binary variable signifying whether a sea lamprey entered the treatment odor (1 = entered treatment odor, 0 = entered vehicle control (MeOH))
* Upstream - binary variable signifying whether a sea lamprey swam upstream and entered a channel (1 = swam upstream and entered a channel, 0 = did not enter a channel)
* All N/As represent sea lamprey that did not swim upstream and enter a channel, therefore there is no data available for these cells
2. Tab 2: LC-MS MS Data (SMW) - quantification results of 3kPZS and PZS in SMW
3. Tab 3: LC-MS MS Data (LE) - quantification results of 3kPZS and PZS in LE
The word document contains all R code and outputs of statistical analyses.
Sharing/Access information
This data is not available anywhere else. Contact Skye Fissette with any questions or needed clarification.
Code/Software
All R code and outputs of statistical analyses have been provided.
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
Behavioral data was collected using in-stream behavioral assays that utilized passive integrated transponder tagging to monitor sea lamprey behavior. Quantification of chemical components present in LE and SMW was conducted using liquid chromatography tandem mass spectrometry (LC-MS/MS).
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 and car 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.
Funding
Great Lakes Fishery Commission, Award: LIW_540810)