Evidence map›Paper›PMID 39837508›Full record

ArticleProceedings. Biological sciences2025

Is temporal synchrony necessary for effective Batesian mimicry?

Abigail E Robinson, Isabel Novick, Jessica Herrmann, Lily DeFelice, Aidan Engel, Dina Famin, Colleen Fetherston, Bianca Frintu, Julia Meyersiek, Musfika Mishi and 4 more

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

14 authors.

Abigail E RobinsonDepartment of Biology, Boston University, Boston, MA 02215, USA.ORCID 0009-0002-2397-7853
Isabel Novick *Department of Biology, Boston University, Boston, MA 02215, USA.
Jessica Herrmann *Department of Biology, Boston University, Boston, MA 02215, USA.
Lily DeFelice *Department of Biology, Boston University, Boston, MA 02215, USA.
Aidan Engel *Department of Biology, Boston University, Boston, MA 02215, USA.
Dina Famin *Department of Biology, Boston University, Boston, MA 02215, USA.
Colleen Fetherston *Department of Biology, Boston University, Boston, MA 02215, USA.
Bianca Frintu *Department of Biology, Boston University, Boston, MA 02215, USA.
Julia Meyersiek *Department of Biology, Boston University, Boston, MA 02215, USA.
Musfika Mishi *Department of Biology, Boston University, Boston, MA 02215, USA.
Tran Gia Ha Nguyễn *Department of Biology, Boston University, Boston, MA 02215, USA.
Peter M BustonDepartment of Biology, Boston University, Boston, MA 02215, USA.ORCID 0000-0001-5513-8259
Thomas N SherrattDepartment of Biology, Carleton University, Ottawa, Ontario K1S 5B6, Canada.
Sean P MullenDepartment of Biology, Boston University, Boston, MA 02215, USA.

Funding

National Science Foundation 2021181
6 · The paper itself

Abstract

Batesian mimicry occurs when palatable mimics gain protection from predators by evolving a phenotypic resemblance to an aposematic model species. While common in nature, the mechanisms maintaining mimicry are not fully understood. Patterns of temporal synchrony (i.e. temporal co-occurrence) and model first occurrence have been observed in several mimicry systems, but the hypothesis that predator foraging decisions can drive the evolution of prey phenology has not been experimentally tested. Here, using phenotypically accurate butterfly replicas, we measured predation rates on the chemically defended model species

Indexed as

Biological MimicryButterfliesPredatory BehaviorAnimalsBiological Evolutionfrequency dependenceimperfect mimicryphenologypredationtemporal synchrony

Identifiers

PMID39837508
PMCPMC11750401

What OpenQuestion holds

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Registered trials

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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.