The repeated evolution of anti-bat bioacoustics in hawkmoths

Abstract Predator–prey interactions impose strong selective forces, often resulting in remarkable anti-predatory adaptations. Among insects, moths have been engaged in a long-standing arms race with bats, leading to the evolution of diverse anti-predator strategies. Here, we investigate the evolution of anti-bat stridulatory behaviour in hawkmoths (Lepidoptera: Sphingidae) by integrating acoustic recordings, high-resolution scanning electron microscopy and micro-computed tomography imaging and a time-calibrated phylogeny. We classify three distinct ultrasound-producing systems—scale-on-scale, scale-on-spine and scale-on-nodule—based on the interaction of scraper and file components. Building on previous descriptions, we uncover new details of two stridulatory mechanisms and describe for the first time the file component in the scale-on-nodule system of Macroglossinae. Phylogenetic analyses reveal that stridulatory responses to bat echolocation evolved independently multiple times among hawkmoths within the past approximately 30 million years. Furthermore, we demonstrate that divergent lineages produce acoustically distinct signals that correlate with variation in stridulatory morphology and the presence or absence of hearing organs. Collectively, our results highlight the repeated evolution of ultrasonic defences across divergent hawkmoth lineages and underscore predator–prey conflict as a powerful driver of both evolutionary innovation and redundancy in bioacoustic warfare.

Authors

Institutions

Publication Details

Journal
Proceedings of the Royal Society B Biological Sciences
Published
2026-11-04
DOI
https://doi.org/10.1098/rspb.2026.2303
Primary Topic
Lepidoptera: Biology and Taxonomy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The repeated evolution of anti-bat bioacoustics in hawkmoths

Jesse R. Barber, Paul Masonick, Akito Y. Kawahara, Christian Couch et al.
Proceedings of the Royal Society B Biological Sciences
Lepidoptera: Biology and Taxonomy
article

The repeated evolution of anti-bat bioacoustics in hawkmoths

Jesse R. Barber, Paul Masonick, Akito Y. Kawahara, Christian Couch, Maja Petricic, Alessandro Giusti
article en

Abstract

Abstract Predator–prey interactions impose strong selective forces, often resulting in remarkable anti-predatory adaptations. Among insects, moths have been engaged in a long-standing arms race with bats, leading to the evolution of diverse anti-predator strategies. Here, we investigate the evolution of anti-bat stridulatory behaviour in hawkmoths (Lepidoptera: Sphingidae) by integrating acoustic recordings, high-resolution scanning electron microscopy and micro-computed tomography imaging and a time-calibrated phylogeny. We classify three distinct ultrasound-producing systems—scale-on-scale, scale-on-spine and scale-on-nodule—based on the interaction of scraper and file components. Building on previous descriptions, we uncover new details of two stridulatory mechanisms and describe for the first time the file component in the scale-on-nodule system of Macroglossinae. Phylogenetic analyses reveal that stridulatory responses to bat echolocation evolved independently multiple times among hawkmoths within the past approximately 30 million years. Furthermore, we demonstrate that divergent lineages produce acoustically distinct signals that correlate with variation in stridulatory morphology and the presence or absence of hearing organs. Collectively, our results highlight the repeated evolution of ultrasonic defences across divergent hawkmoth lineages and underscore predator–prey conflict as a powerful driver of both evolutionary innovation and redundancy in bioacoustic warfare.

Proceedings of the Royal Society B Biological SciencesVol. 293(2082)
Florida Museum of Natural History (US), Natural History Museum (GB), American Museum of Natural History (US), University of Colorado Boulder (US), McGuire Institute (US)
Openalex Percentile: Top 16%
Lepidoptera: Biology and Taxonomy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon