Evidence map›Paper›PMID 42729918›Full record

ArticleAnimal behaviour2026

Environmental and Genetic Conditions Shaping Monarch Butterfly Migration Biology.

Hsiang-Yu Tsai, Cristian E Molina, John M Pleasants, Marcus R Kronforst

Abstract read
In one paragraph

Article in Animal behaviour, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Hsiang-Yu TsaiDepartment of Ecology & Evolution, The University of Chicago, Chicago, IL 60637.
Cristian E MolinaDepartment of Ecology & Evolution, The University of Chicago, Chicago, IL 60637.
John M PleasantsDepartment of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA, 50011.
Marcus R KronforstDepartment of Ecology & Evolution, The University of Chicago, Chicago, IL 60637.

Funding

Characterizing the Molecular Basis of Supergene Mimicry in ButterfliesR35GM131828 · NIGMS · UNIVERSITY OF CHICAGO · PI Marcus Kronforst · 2019 to 2026
$3.3M
NIGMS NIH HHS R35 GM131828
6 · The paper itself

Abstract

Monarch butterflies in North America migrate south each autumn, but the mechanisms initiating their migratory flight remain unclear. We investigated environmental, developmental, and genetic factors shaping directional flight using three flight simulators: two at ground level (with and without wind blockage) and a novel balloon-based system that lifted butterflies 30 meters into the air. We tested summer and autumn-generation monarchs, as well as summer monarchs reared under autumn-like conditions to assess developmental influences. Autumn-generation monarchs exhibited significant southwestern flight orientation, observed only in the balloon simulator, highlighting the importance of high-altitude flight. Summer monarchs reared under autumn-like conditions displayed southward orientation, larger wings, and partial reproductive diapause, indicating that seasonal cues alone can induce migratory traits. In contrast, a lab-reared monarch lineage maintained in captivity since 2016 showed reduced wing size and impaired orientation, even when raised outdoors in autumn, suggesting a loss of migratory traits without migration. Unexpectedly, many butterflies in the balloon simulator oriented upwind, suggesting wind may serve as a directional cue. These findings reveal key environmental and genetic influences on monarch migration and establish the balloon flight simulator as a valuable tool for studying migratory behaviour, with implications for conservation in a changing climate.

Indexed as

behaviourcaptive breedingDanaus plexippusmigrationphenotypic plasticity

Identifiers

PMID42729918
PMCPMC13564201

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.