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Machine learning reveals singing rhythms of male Pacific field crickets are clock controlled
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dc.contributor.author | Westwood, Mary L | |
dc.contributor.author | Geissmann, Quentin | |
dc.contributor.author | O'Donnell, Aidan J | |
dc.contributor.author | Rayner, Jack | |
dc.contributor.author | Schneider, Will | |
dc.contributor.author | Zuk, Marlene | |
dc.contributor.author | Bailey, Nathan W | |
dc.contributor.author | Reece, Sarah E | |
dc.date.accessioned | 2024-01-30T10:30:08Z | |
dc.date.available | 2024-01-30T10:30:08Z | |
dc.date.issued | 2024-01 | |
dc.identifier | 298606663 | |
dc.identifier | 21d6d05b-8eaf-4603-8f0c-39e3ec143967 | |
dc.identifier | 38144906 | |
dc.identifier | 85183090673 | |
dc.identifier.citation | Westwood , M L , Geissmann , Q , O'Donnell , A J , Rayner , J , Schneider , W , Zuk , M , Bailey , N W & Reece , S E 2024 , ' Machine learning reveals singing rhythms of male Pacific field crickets are clock controlled ' , Behavioral Ecology , vol. 35 , no. 1 , arad098 . https://doi.org/10.1093/beheco/arad098 | en |
dc.identifier.issn | 1045-2249 | |
dc.identifier.other | Jisc: 1652741 | |
dc.identifier.other | pmc: PMC10748470 | |
dc.identifier.other | pii: arad098 | |
dc.identifier.other | ORCID: /0000-0003-3531-7756/work/152318530 | |
dc.identifier.uri | https://hdl.handle.net/10023/29104 | |
dc.description | Funding: This work was supported by the Darwin Trust of Edinburgh (to M.L.W.), the Royal Society (UF110155 to S.E.R.), and the Wellcome Trust (202769/Z/16/Z to S.E.R.), International Human Frontier Science Program Organisation (LT000325/2019 to Q.G.), and UK Natural Environment Research Council (NE/T0006191/1 to N.W.B. and J.G.R.). | en |
dc.description.abstract | Circadian rhythms are ubiquitous in nature and endogenous circadian clocks drive the daily expression of many fitness-related behaviors. However, little is known about whether such traits are targets of selection imposed by natural enemies. In Hawaiian populations of the nocturnally active Pacific field cricket (Teleogryllus oceanicus), males sing to attract mates, yet sexually selected singing rhythms are also subject to natural selection from the acoustically orienting and deadly parasitoid fly, Ormia ochracea. Here, we use T. oceanicus to test whether singing rhythms are endogenous and scheduled by circadian clocks, making them possible targets of selection imposed by flies. We also develop a novel audio-to-circadian analysis pipeline, capable of extracting useful parameters from which to train machine learning algorithms and process large quantities of audio data. Singing rhythms fulfilled all criteria for endogenous circadian clock control, including being driven by photoschedule, self-sustained periodicity of approximately 24 h, and being robust to variation in temperature. Furthermore, singing rhythms varied across individuals, which might suggest genetic variation on which natural and sexual selection pressures can act. Sexual signals and ornaments are well-known targets of selection by natural enemies, but our findings indicate that the circadian timing of those traits’ expression may also determine fitness. | |
dc.format.extent | 11 | |
dc.format.extent | 509437 | |
dc.language.iso | eng | |
dc.relation.ispartof | Behavioral Ecology | en |
dc.subject | Chronobiology | en |
dc.subject | Temperature compensation | en |
dc.subject | Bioacoustics | en |
dc.subject | Machine learning | en |
dc.subject | Sexual signals | en |
dc.subject | Tempaural | en |
dc.subject | Circadian rhythms | en |
dc.subject | Rethomics | en |
dc.subject | Stridulation | en |
dc.subject | QH301 Biology | en |
dc.subject | DAS | en |
dc.subject.lcc | QH301 | en |
dc.title | Machine learning reveals singing rhythms of male Pacific field crickets are clock controlled | en |
dc.type | Journal article | en |
dc.contributor.sponsor | NERC | en |
dc.contributor.institution | University of St Andrews. Centre for Biological Diversity | en |
dc.contributor.institution | University of St Andrews. School of Biology | en |
dc.contributor.institution | University of St Andrews. Institute of Behavioural and Neural Sciences | en |
dc.contributor.institution | University of St Andrews. St Andrews Bioinformatics Unit | en |
dc.identifier.doi | https://doi.org/10.1093/beheco/arad098 | |
dc.description.status | Peer reviewed | en |
dc.identifier.grantnumber | NE/T000619/1 | en |
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