DOI: 10.5061/dryad.sj3tx96bv
title: Raw data and outputs from: Sensory trap leads to reliable communication without a shift in nonsexual responses to the model cue

description: 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.
description: 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.  
description: # Raw Data and Output - Sensory trap leads to reliable communication
 without a shift in nonsexual responses to the model cue
 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 1. **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.