ArticleJournal of chemical ecology2018
What Can Computational Modeling Tell Us about the Diversity of Odor-Capture Structures in the Pancrustacea?
Article in Journal of chemical ecology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 24 citations in OpenAlex.
- Cell-type Plasticity Supports Behavioral Adaptations at the Water-to-Land Interface.bioRxiv : the preprint server for biology · 2026Article
- Pore plate sensilla scale and distribution modulate odor capture around honey bee antennae.Scientific reports · 2025Article
- Physical properties of odorants affect behavior of trained detection dogs during close-quarters searches.Scientific reports · 2024Article
- Aerosol Alteration of Behavioral Response to Pheromone in Bombyx mori.Journal of chemical ecology · 2023Article
- Exploring the sensitivity in jellyfish locomotion under variations in scale, frequency, and duty cycle.Journal of mathematical biology · 2021Article
- Insect pectinate antennae maximize odor capture efficiency at intermediate flight speeds.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Uncertainty quantification reveals the physical constraints on pumping by peristaltic hearts.Journal of the Royal Society, Interface · 2020Article
- Leakiness and flow capture ratio of insect pectinate antennae.Journal of the Royal Society, Interface · 2020Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
A major transition in the history of the Pancrustacea was the invasion of several lineages of these animals onto land. We investigated the functional performance of odor-capture organs, antennae with olfactory sensilla arrays, through the use of a computational model of advection and diffusion of odorants to olfactory sensilla while varying three parameters thought to be important to odor capture (Reynolds number, gap-width-to-sensillum-diameter ratio, and angle of the sensilla array with respect to oncoming flow). We also performed a sensitivity analysis on these parameters using uncertainty quantification to analyze their relative contributions to odor-capture performance. The results of this analysis indicate that odor capture in water and in air are fundamentally different. Odor capture in water and leakiness of the array are highly sensitive to Reynolds number and moderately sensitive to angle, whereas odor capture in air is highly sensitive to gap widths between sensilla and moderately sensitive to angle. Leakiness is not a good predictor of odor capture in air, likely due to the relative importance of diffusion to odor transport in air compared to water. We also used the sensitivity analysis to make predictions about morphological and kinematic diversity in extant groups of aquatic and terrestrial crustaceans. Aquatic crustaceans will likely exhibit denser arrays and induce flow within the arrays, whereas terrestrial crustaceans will rely on more sparse arrays with wider gaps and little-to-no animal-induced currents.
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Registered trials
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