DOI: 10.5061/dryad.ttdz08m5b
title: 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

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: 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).
description: # Raw Data and R Code for Statistical Analyses - Sensory trap leads to
 reliable communication without a shift in nonsexual responses to the model
 cue 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 1. **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.