Evidence map›Paper›PMID 28988348›Full record

ReviewJournal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology2018

Insight into the neuroendocrine basis of signal evolution: a case study in foot-flagging frogs.

Lisa A Mangiamele, Matthew J Fuxjager

Abstract readReview
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In one paragraph

Review in Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

2 authors at 2 institutions in 1 country.

Lisa A MangiameleDepartment of Biological Sciences, Smith College, Northampton, MA, 01063, USA. lmangiamele@smith.edu.ORCID 0000-0003-4488-4904
Matthew J FuxjagerDepartment of Biology, Wake Forest University, Winston-Salem, NC, 27109, USA.
Smith College · USWake Forest University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A hallmark of sexual selection is the evolution of elaborate male sexual signals. Yet, how the physiology of an animal changes to support a new or modified signal is a question that has remained largely unanswered. Androgens are important in regulating male reproductive behavior, therefore, selection for particular signals may drive the evolution of increased androgenic sensitivity in the neuro-motor systems underlying their production. Studies of the neuroendocrine mechanisms of anuran sexual signaling provide evidence to support this idea. Here, we highlight two such cases: first, a large body of work in Xenopus frogs demonstrates that sexually dimorphic androgen receptor (AR) expression in the laryngeal nerves and muscles underlies sexually dimorphic vocal behavior, and second, our own work showing that the recent evolution of a hind limb signal (known as the "foot flag") in Staurois parvus is accompanied by a dramatic increase in androgenic sensitivity of the thigh muscles that control limb movement. Together, these examples illustrate that the evolutionary modification or gain of a sexual signal is linked with a novel pattern of AR expression in the tissues that support it. We suggest that such co-evolution of AR expression and sex-specific or species-specific signaling behavior exists across vertebrates.

Indexed as

Biological EvolutionAnimalsAnuraReceptors, AndrogenSexual Behavior, AnimalReceptors, Androgen

Identifiers

PMID28988348
OpenAlexW2763387186

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.