Data supporting "Neural Basis of Acoustic Species Recognition in a Cryptic Species Complex"

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2019-05-19
2020-08-13

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2020-08-10

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Data supporting "Neural Basis of Acoustic Species Recognition in a Cryptic Species Complex"

Published Date

2021-08-14

Author Contact

Gupta, Saumya
gupta333@umn.edu

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Dataset
Experimental Data

Abstract

Sexual traits that promote species recognition are important drivers of reproductive isolation, especially among closely related species. Identifying neural processes that shape species differences in recognition is crucial for understanding the causal mechanisms of reproductive isolation. Temporal patterns are salient features of sexual signals that are widely used in species recognition by several taxa, including anurans. Recent advances in our understanding of temporal processing by the anuran auditory system provide an excellent opportunity to investigate the neural basis of species-specific recognition. The anuran inferior colliculus (IC) consists of neurons that are selective for temporal features of calls. Of potential relevance are auditory neurons known as interval-counting neurons (ICNs) that are often selective for the pulse rate of conspecific advertisement calls. Here, we took advantage of a species differences in temporal selectivity for pulsatile advertisement calls exhibited by two cryptic species of gray treefrog (Hyla chrysoscelis and Hyla versicolor) to test the hypothesis that ICNs mediate acoustic species recognition. We tested this hypothesis by examining the extent to which the threshold number of pulses required to elicit behavioral responses from females and neural responses from ICNs was similar within each species but potentially different between the two species. The associated data for this work is being released prior to submission of the manuscript for peer review.

Description

Two .csv files containing the behavioral data and the neural data respectively, and a Readme file for documentation of the datasets.

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Funding information

National Science Foundation (IOS 1452831)
National Science Foundation (IOS - 2022253)
Pletcher graduate fellowship
Alexander and Lydia Anderson grant
Summer research grant by the Department of Ecology, Evolution, and Behavior

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Suggested citation

Gupta, Saumya; Alluri, Rishi K; Rose, Gary J; Bee, Mark A. (2021). Data supporting "Neural Basis of Acoustic Species Recognition in a Cryptic Species Complex". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/6c7h-4b35.

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