Evidence map›Paper›PMID 30242545›Full record

ArticleJournal of chemical ecology2018

What Can Computational Modeling Tell Us about the Diversity of Odor-Capture Structures in the Pancrustacea?

Lindsay D Waldrop, Yanyan He, Shilpa Khatri

Abstract read
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Insect pectinate antennae maximize odor capture efficiency at intermediate flight speeds.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  7. Article
  8. Leakiness and flow capture ratio of insect pectinate antennae.Journal of the Royal Society, Interface · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Lindsay D WaldropDepatment of Biology, New Mexico Institute of Mining and Technology Socorro, Socorro, NM, 87801, USA. lindsay.waldrop@nmt.edu.ORCID http://orcid.org/0000-0001-5708-2789
Yanyan HeDepatment of Mathematics, New Mexico Institute of Mining and Technology Socorro, Socorro, NM, 87801, USA.
Shilpa KhatriApplied Mathematics Unit School of Natural Sciences, University of California, Merced, CA, 95343, USA.
New Mexico Institute of Mining and Technology · USUniversity of California, Merced · US

Funding

Division of Physics 1505061Extreme Science and Engineering Discovery Environment TG-BIO170090Extreme Science and Engineering Discovery Environment TG-CDA160015
6 · The paper itself

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.

Indexed as

Models, TheoreticalOdorantsAirAnimalsArthropod AntennaeBiological EvolutionWaterWaterComputational modelingFluid dynamicsInsectOlfactionSensillaSniffing

Identifiers

PMID30242545
OpenAlexW2951394036

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.