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Data and code for "Biomechanical properties of a buzz-pollinated flower"

Citation

Brito, Vinícius et al. (2020), Data and code for "Biomechanical properties of a buzz-pollinated flower", Dryad, Dataset, https://doi.org/10.5061/dryad.f7m0cfxsm

Abstract

Approximately half of all bee species use vibrations to remove pollen from plants with diverse floral morphologies. In many buzz-pollinated flowers, these mechanical vibrations generated by bees are transmitted through floral tissues, principally pollen-containing anthers, causing pollen to be ejected from small openings (pores or slits) at the tip of the stamen. Despite the importance of substrate-borne vibrations for both bees and plants, few studies to date have characterised the transmission properties of floral vibrations. In this study, we use contactless laser vibrometry to evaluate the transmission of vibrations in the corolla and anthers of buzz- pollinated flowers of Solanum rostratum, and measured vibrations in three spatial axes. We found that floral vibrations conserve their dominant frequency (300Hz) as they are transmitted throughout the flower. We also found that vibrations are generally amplified (up to >400%) as they travel from the receptacle at the base of the flower to other floral structures, and that anthers vibrate with a higher amplitude velocity than petals. Together, these results suggest that vibrations travel differently through floral structures and across different spatial axes. As pollen release is a function of vibration amplitude, we conjecture that bees might benefit from applying vibrations in the axes associated with higher vibration amplification.

Methods

This dataset contains a series of text (.txt) files corresponding to the vibration data recorded with laser Doppler vibrometry from flowers vibrated by a shaker. The text files contains two columns, one referring to the time in seconds, other referring to the displacement of the floral structure measured. Additionally the R code used to analyse the data is provided as a pdf file and a table with the legends for the variable names used during the analysis is provided as a .csv file. All the files are in a single folder and a .zip file reader software might me be needed to open the folder and extract the files.

Funding

Leverhulme Trust, Award: RPG-2018-235

Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Award: FAPEMIG (APQ02497-16)

CAPES-PrInt, Award: UFU-CAPES-PrInt (88887.374220/2019-00)

CAPES-PrInt, Award: UFU-CAPES-PrInt (88887.374220/2019-00)