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James LS, Ryan MJ. Time and place affect the acoustic structure of frog advertisement calls. Curr Zool 2025; 71:196-204. [PMID: 40264712 PMCID: PMC12011477 DOI: 10.1093/cz/zoae039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 07/20/2024] [Indexed: 04/24/2025] Open
Abstract
Acoustic communication signals are important for species recognition and mate attraction across numerous taxa. For instance, most of the thousands of species of frogs have a species-specific advertisement call that females use to localize and discriminate among potential mates. Thus, the acoustic structure of the advertisement call is critical for reproductive success. The acoustic structure of calls will generally diverge over evolutionary time and can be influenced by the calls of sympatric species. While many studies have shown the influence of geography on contemporary call variation in populations of frogs, no study has compared the acoustic structure of frog calls across many species to ask whether we can detect an influence of divergence time and overall geographic overlap on the differences in acoustic structure of species-typical calls that we observe now. To this end, we compared acoustic features of the calls of 225 species of frogs within 4 families. Furthermore, we used a behavioral assay from 1 species of frog to determine which acoustic features to prioritize in our large-scale analyses. We found evidence that both phylogeny (time) and geography (place) relate to advertisement call acoustics albeit with large variation in these relationships across the 4 families in the analysis. Overall, these results suggest that, despite the many ecological and evolutionary forces that influence call structure, the broad forces of time and place can shape aspects of advertisement call acoustics.
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Affiliation(s)
- Logan S James
- Department of Integrative Biology, University of Texas, Austin, TX 78712, USA
- Smithsonian Tropical Research Institute, Apartado, 0843-03092, Balboa, Ancón, Republic of Panama
| | - Michael J Ryan
- Department of Integrative Biology, University of Texas, Austin, TX 78712, USA
- Smithsonian Tropical Research Institute, Apartado, 0843-03092, Balboa, Ancón, Republic of Panama
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2
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Fainstein F, Goller F, Mindlin GB. Song-like activation of syringeal and respiratory muscles during sleep in canaries. J Comp Physiol A Neuroethol Sens Neural Behav Physiol 2025; 211:135-148. [PMID: 39404890 DOI: 10.1007/s00359-024-01720-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2024] [Revised: 10/03/2024] [Accepted: 10/04/2024] [Indexed: 04/18/2025]
Abstract
Sleep replay activity involves the reactivation of brain structures with patterns similar to those observed during waking behavior. In this study, we demonstrate that adult male canaries exhibit spontaneous, song-like peripheral reactivation during night sleep. Our findings include: (1) the presence of activity in respiratory muscles, leading to song-like air sac pressure patterns of low amplitude, (2) the simultaneous occurrence of respiratory replay events and reactivation of syringeal muscles, and (3) the reactivation of syringeal muscles without concurrent respiratory system activity. This song-like reactivation of peripheral motor systems enables the identification of specific motor patterns, with replay events preserving individual morphological and temporal properties. The activation of peripheral motor systems in songbirds and the differences in activation patterns between species give unique insights into the fictive behavioral output of activation of a complex learned motor behavior during sleep, shedding light on the neural control mechanisms and potential functions.
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Affiliation(s)
- Facundo Fainstein
- Facultad de Ciencias Exactas y Naturales, Departamento de Física, Universidad de Buenos Aires, Ciudad Universitaria, Buenos Aires, 1428, Argentina
- Instituto de Física Interdisciplinaria y Aplicada (INFINA), CONICET - Universidad de Buenos Aires, Ciudad Universitaria, Buenos Aires, 1428, Argentina
| | - Franz Goller
- School of Biological Sciences, University of Utah, Salt Lake City, UT, 84112, USA
- Institute for Integrative Cell Biology and Physiology, University of Münster, Münster, 48149, Germany
| | - Gabriel B Mindlin
- Facultad de Ciencias Exactas y Naturales, Departamento de Física, Universidad de Buenos Aires, Ciudad Universitaria, Buenos Aires, 1428, Argentina.
- Instituto de Física Interdisciplinaria y Aplicada (INFINA), CONICET - Universidad de Buenos Aires, Ciudad Universitaria, Buenos Aires, 1428, Argentina.
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3
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Goller F. Respiratory contributions to birdsong-evolutionary considerations and open questions. Philos Trans R Soc Lond B Biol Sci 2025; 380:20230431. [PMID: 40010385 PMCID: PMC11864833 DOI: 10.1098/rstb.2023.0431] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 07/04/2024] [Accepted: 09/12/2024] [Indexed: 02/28/2025] Open
Abstract
Respiration plays a central role in avian vocal behaviour by providing the airstream that induces vibration of vocal folds. In this role, respiratory movements dictate the coarse temporal pattern of song, while simultaneously fulfilling its vital functions. Whereas these aspects have been investigated in oscines, little information exists in other taxa. Broad taxonomic information is, however, necessary for addressing questions regarding evolutionary specializations of the respiratory system. Acoustic recordings of unstudied taxa suggest that rapid action by respiratory muscles is a basal trait within birds. In addition to controlling the timing of vocalization, respiratory activity also influences acoustic features such as sound amplitude and frequency. The latter is more strongly influenced by respiratory driving pressure in non-vocal learners. Singing, as a highly dynamic respiratory activity presents an opportunity for studying detailed ventilation patterns and thus could give insight into the basic control of airflow in the avian lung-air sac system. Although we have learned many details of how respiratory control is tied into cortical song control, many open questions remain. Control of respiratory pacemaker circuitry by upstream vocal control centres, respiratory input in initiation of vocalization and the use of online feedback from the respiratory system are all incompletely understood.This article is part of the theme issue 'The biology of the avian respiratory system'.
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Affiliation(s)
- Franz Goller
- Institute for Integrative Cell Biology and Physiology, University of Münster, Münster48149, Germany
- School of Biological Sciences, University of Utah, Salt Lake City, UT84112, USA
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4
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Fernando MATM, Fu J, Adamowicz SJ. Testing Phylogenetic Placement Accuracy of DNA Barcode Sequences on a Fish Backbone Tree: Implications of Backbone Tree Completeness and Species Representation. Ecol Evol 2025; 15:e70817. [PMID: 39781258 PMCID: PMC11706799 DOI: 10.1002/ece3.70817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2024] [Revised: 12/13/2024] [Accepted: 12/19/2024] [Indexed: 01/12/2025] Open
Abstract
Advancements in DNA sequencing technology have facilitated the generation of a vast number of DNA sequences, posing opportunities and challenges for constructing large phylogenetic trees. DNA barcode sequences, particularly COI, represent extensive orthologous sequences suitable for phylogenetic analysis. Phylogenetic placement analysis offers a promising method to integrate COI data into tree-building efforts, yet the impacts of backbone tree completeness and species composition remain under-explored. Using a dataset comprising 27 genes and 4520 species of bony fishes, we assessed the accuracy of phylogenetic inference by "placing" COI sequences onto backbone trees. The backbone tree completeness was varied by subsampling 20%, 40%, 60%, 80%, and 99% of the total species separately, followed by placement of those missing species based on their COI sequences using software packages EPA-ng and APPLES. We also compared the effects of biased, random, and stratified sampling strategies; the latter ensured the representation of all major lineages (Family) of bony fish. Our findings indicate that the placement accuracy is consistently high across all levels of backbone tree completeness, where 70%-78% missing species are correctly placed (by EPA-ng) in the same locations as the reference tree derived from the complete data. High completeness produces slightly high placement accuracy, although in many cases the differences are nonsignificant. For example, at the 99% completeness level with stratified sampling, EPA-ng placed 78% missing species correctly, and when only considering placement with high confidence (LWR > 0.9), the percentage is 87%. Additionally, stratified sampling outperforms random sampling in most cases, and biased sampling has the worst performance. The likelihood-based EPA-ng consistently provide higher accurate placements than the distance-based APPLES. In conclusion, COI-based placement analysis represents a potential route of using the available vast barcoding data for building large phylogenetic trees.
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Affiliation(s)
| | - Jinzhong Fu
- Department of Integrative BiologyUniversity of GuelphGuelphOntarioCanada
| | - Sarah J. Adamowicz
- Department of Integrative BiologyUniversity of GuelphGuelphOntarioCanada
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5
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Fournier M, Olson R, Van Wassenbergh S, Provini P. The avian vocal system: 3D reconstruction reveals upper vocal tract elongation during head motion. J Exp Biol 2024; 227:jeb247945. [PMID: 39422211 DOI: 10.1242/jeb.247945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Accepted: 10/10/2024] [Indexed: 10/19/2024]
Abstract
While the impressive singing abilities of birds are made possible by the syrinx, the upper vocal system (i.e. trachea, larynx and beak) could also play a role in sound filtration. Yet, we still lack a clear understanding of the range of elongation this system can undertake, especially along the trachea. Here, we used biplanar cineradiography and X-ray reconstruction of moving morphology (XROMM) to record 15 species of cadaveric birds from 9 different orders while an operator moved the birds' heads in different directions. In all studied species, we found elongation of the trachea to be correlated with neck extension, and significantly greater (ranging from 18 to 48% for the whole motion; and from 1.4 to 15.7% for the singing positions) than previously reported on a live singing bird (3%). This elongation or compression was not always homogeneous along its entire length. Some specimens showed increased lengthening in the rostral part and others in both the rostral and caudal parts of the vocal tract. The diversity of elongation patterns shows that trachea elongation is more complex than previously thought. Since tracheal lengthening affects sound frequencies, our results contribute to our understanding of the mechanisms involved in complex communication signals, one of the amazing traits we share with birds.
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Affiliation(s)
- Morgane Fournier
- INSERM, System Engineering and Evolution Dynamics, Université Paris Cité, 75004 Paris, France
- Learning Planet Institute, 75004 Paris, France
- Institute of Ecology and Evolution, Universität Bern, 3012 Bern, Switzerland
| | - Rachel Olson
- INSERM, System Engineering and Evolution Dynamics, Université Paris Cité, 75004 Paris, France
- Learning Planet Institute, 75004 Paris, France
- Department of Biology, University of Akron, Akron, OH 44325, USA
| | | | - Pauline Provini
- INSERM, System Engineering and Evolution Dynamics, Université Paris Cité, 75004 Paris, France
- Learning Planet Institute, 75004 Paris, France
- Département Adaptations du Vivant, UMR MECADEV 7179 CNRS/Muséum National d'Histoire Naturelle, 75005Paris, France
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Wang S, Wu L, Zhu Q, Wu J, Tang S, Zhao Y, Cheng Y, Zhang D, Qiao G, Zhang R, Lei F. Trait Variation and Spatiotemporal Dynamics across Avian Secondary Contact Zones. BIOLOGY 2024; 13:643. [PMID: 39194581 DOI: 10.3390/biology13080643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2024] [Revised: 08/16/2024] [Accepted: 08/20/2024] [Indexed: 08/29/2024]
Abstract
A secondary contact zone (SCZ) is an area where incipient species or divergent populations may meet, mate, and hybridize. Due to the diverse patterns of interspecific hybridization, SCZs function as field labs for illuminating the on-going evolutionary processes of speciation and the establishment of reproductive isolation. Interspecific hybridization is widely present in avian populations, making them an ideal system for SCZ studies. This review exhaustively summarizes the variations in unique traits within avian SCZs (vocalization, plumage, beak, and migratory traits) and the various movement patterns of SCZs observed in previous publications. It also highlights several potential future research directions in the genomic era, such as the relationship between phenotypic and genomic differentiation in SCZs, the genomic basis of trait differentiation, SCZs shared by multiple species, and accurate predictive models for forecasting future movements under climate change and human disturbances. This review aims to provide a more comprehensive understanding of speciation processes and offers a theoretical foundation for species conservation.
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Affiliation(s)
- Shangyu Wang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lei Wu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qianghui Zhu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiahao Wu
- University of Chinese Academy of Sciences, Beijing 100049, China
- Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China
| | - Shiyu Tang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yifang Zhao
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yalin Cheng
- College of Life Sciences, Institute of Life Science and Green Development, Hebei University, Baoding 071002, China
| | - Dezhi Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Gexia Qiao
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Runzhi Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Fumin Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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7
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Zhang C, Ji L, Li Z, Lucas JR, Feng J, Sun C, Jiang T. Resting posture drives the evolution of agonistic displays in bats. Evolution 2024; 78:964-970. [PMID: 38305496 DOI: 10.1093/evolut/qpae019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 02/01/2024] [Indexed: 02/03/2024]
Abstract
Agonistic displays are one of the most diverse social behaviors that have important functions in animal's life history. However, their origin and driving factors have largely been unexplored. Here, we evaluated agonistic displays of 71 bat species across 10 families and classified these displays into two categories: (a) boxing displays where a bat attacks its opponent with its wrist and thumb and (b) pushing displays where a bat uses its head or body to hit a rival. We estimated the strength of the phylogenetic signal of the agonistic displays, revealed their origin, and tested the potential evolutionary relationships between agonistic behaviors and body size or resting posture (free hanging vs. contact hanging where the bat is in contact with some surface). We found that agonistic displays were phylogenetically conserved and that boxing displays are the ancestral state. Moreover, we found that bats with a free-hanging resting posture were more likely to exhibit boxing displays than pushing displays. In addition, bats with longer forearms do not have a higher propensity for boxing displays. This study expands our limited knowledge of the evolution of agonistic displays and highlights the importance of resting posture as a driving force in the diversity of agonistic displays.
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Affiliation(s)
- Chunmian Zhang
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
- Hebei Collaborative Innovation Center for Eco-Environment, Hebei Normal University, Shijiazhuang, China
| | - Ligen Ji
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
- Hebei Collaborative Innovation Center for Eco-Environment, Hebei Normal University, Shijiazhuang, China
| | - Ziji Li
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
- Hebei Collaborative Innovation Center for Eco-Environment, Hebei Normal University, Shijiazhuang, China
| | - Jeffrey R Lucas
- Department of Biological Sciences, Purdue University, West Lafayette, IN, United States
| | - Jiang Feng
- Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University, Changchun, China
- College of Life Science, Jilin Agricultural University, Changchun, China
| | - Congnan Sun
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
- Hebei Collaborative Innovation Center for Eco-Environment, Hebei Normal University, Shijiazhuang, China
| | - Tinglei Jiang
- Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University, Changchun, China
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8
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Sblendorio JM, Vonhof MJ, Gill SA. Migratory singers dynamically overlap the signal space of a breeding warbler community. Ecol Evol 2024; 14:e11013. [PMID: 38405408 PMCID: PMC10893555 DOI: 10.1002/ece3.11013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 12/09/2023] [Accepted: 12/15/2023] [Indexed: 02/27/2024] Open
Abstract
Migratory species inhabit many communities along their migratory routes. Across taxa, these species repeatedly move into and out of communities, interacting with each other and locally breeding species and competing for resources and niche space. However, their influence is rarely considered in analyses of ecological processes within the communities they temporarily occupy. Here, we explore the impact of migratory species on a breeding community using the framework of acoustic signal space, a limited resource in which sounds of species within communities co-exist. Migrating New World warblers (Parulidae, hereafter referred to as migrant species) often sing during refueling stops in areas and at times during which locally breeding warbler species (hereafter breeding species) are singing to establish territories and attract mates. We used eBird data to determine the co-occurrence of 19 migrant and 11 breeding warbler species across spring migration in SW Michigan, generated a signal space from song recordings of these species, and examined patterns of signaling overlap experienced by breeding species as migrants moved through the community. Migrant species were present for two-thirds of the breeding season of local species, including periods when breeding species established territories and attracted mates. Signaling niche overlap experienced by individual breeding species was idiosyncratic and varied over time, yet niche overlap between migrant and breeding species occurred more commonly than between breeding species or between migrant species. Nevertheless, the proportion of niche overlap between migrant and breeding warblers was similar to overlap among breeding species. Our findings showed that singing by migrant species overlapped the signals of many breeding species, suggesting that migrants could have unexplored impacts on communication in breeding species, potentially affecting song detection and song evolution. Our study contributes to a growing body of research documenting the impacts of migratory species on communities and ecosystems.
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Affiliation(s)
- Joanna M. Sblendorio
- Department of Biological SciencesWestern Michigan UniversityKalamazooMichiganUSA
| | - Maarten J. Vonhof
- Department of Biological SciencesWestern Michigan UniversityKalamazooMichiganUSA
- Institute of the Environment and SustainabilityWestern Michigan UniversityKalamazooMichiganUSA
| | - Sharon A. Gill
- Department of Biological SciencesWestern Michigan UniversityKalamazooMichiganUSA
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9
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Penn MJ, Scheidwasser N, Penn J, Donnelly CA, Duchêne DA, Bhatt S. Leaping through Tree Space: Continuous Phylogenetic Inference for Rooted and Unrooted Trees. Genome Biol Evol 2023; 15:evad213. [PMID: 38085949 PMCID: PMC10745275 DOI: 10.1093/gbe/evad213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/16/2023] [Indexed: 12/24/2023] Open
Abstract
Phylogenetics is now fundamental in life sciences, providing insights into the earliest branches of life and the origins and spread of epidemics. However, finding suitable phylogenies from the vast space of possible trees remains challenging. To address this problem, for the first time, we perform both tree exploration and inference in a continuous space where the computation of gradients is possible. This continuous relaxation allows for major leaps across tree space in both rooted and unrooted trees, and is less susceptible to convergence to local minima. Our approach outperforms the current best methods for inference on unrooted trees and, in simulation, accurately infers the tree and root in ultrametric cases. The approach is effective in cases of empirical data with negligible amounts of data, which we demonstrate on the phylogeny of jawed vertebrates. Indeed, only a few genes with an ultrametric signal were generally sufficient for resolving the major lineages of vertebrates. Optimization is possible via automatic differentiation and our method presents an effective way forward for exploring the most difficult, data-deficient phylogenetic questions.
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Affiliation(s)
- Matthew J Penn
- Department of Statistics, University of Oxford, Oxford, United Kingdom
| | - Neil Scheidwasser
- Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
| | - Joseph Penn
- Department of Physics, University of Oxford, Oxford, United Kingdom
| | - Christl A Donnelly
- Department of Statistics, University of Oxford, Oxford, United Kingdom
- Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom
- Department of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - David A Duchêne
- Center for Evolutionary Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Samir Bhatt
- Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
- Department of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom
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10
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Madabhushi AJ, Wewhare N, Binwal P, Agarwal V, Krishnan A. Higher-order dialectic variation and syntactic convergence in the complex warble song of budgerigars. J Exp Biol 2023; 226:jeb245678. [PMID: 37732394 DOI: 10.1242/jeb.245678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 09/11/2023] [Indexed: 09/22/2023]
Abstract
Dialectic signatures in animal acoustic signals are key in the identification of and association with group members. Complex vocal sequences may also convey information about behavioral state, and may thus vary according to social environment. Some bird species, such as psittaciforms, learn and modify their complex acoustic signals throughout their lives. However, the structure and function of vocal sequences in open-ended vocal learners remains understudied. Here, we examined vocal sequence variation in the warble song of budgerigars, and how these change upon contact between social groups. Budgerigars are open-ended vocal learners which exhibit fission-fusion flock dynamics in the wild. We found that two captive colonies of budgerigars exhibited colony-specific differences in the syntactic structure of their vocal sequences. Individuals from the two colonies differed in the propensity to repeat certain note types, forming repetitive motifs which served as higher-order signatures of colony identity. When the two groups were brought into contact, their vocal sequences converged, and these colony-specific repetitive patterns disappeared, with males from both erstwhile colonies now producing similar sequences with similar syntactic structure. We present data suggesting that the higher-order temporal arrangement of notes/vocal units is modified throughout life by social learning as groups of birds continually associate and dissociate. Our study sheds light on the importance of examining signal structure at multiple levels of organization, and the potential for psittaciform birds as model systems to examine the influence of learning and social environment on acoustic signals.
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Affiliation(s)
- Abhinava Jagan Madabhushi
- Department of Biology, Indian Institute of Science Education and Research (IISER) Pune, Pashan Road, Pune 411008, Maharashtra, India
| | - Nakul Wewhare
- Department of Biology, Indian Institute of Science Education and Research (IISER) Pune, Pashan Road, Pune 411008, Maharashtra, India
| | - Priya Binwal
- Department of Biological Sciences, Indian Institute of Science Education and Research (IISER) Kolkata, Mohanpur 741246, West Bengal, India
| | - Vaishnavi Agarwal
- Department of Biological Sciences, Indian Institute of Science Education and Research (IISER) Bhopal, Bhauri 462066, Madhya Pradesh, India
| | - Anand Krishnan
- Department of Biological Sciences, Indian Institute of Science Education and Research (IISER) Bhopal, Bhauri 462066, Madhya Pradesh, India
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11
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Rivera M, Edwards JA, Hauber ME, Woolley SMN. Machine learning and statistical classification of birdsong link vocal acoustic features with phylogeny. Sci Rep 2023; 13:7076. [PMID: 37127781 PMCID: PMC10151348 DOI: 10.1038/s41598-023-33825-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 04/19/2023] [Indexed: 05/03/2023] Open
Abstract
Birdsong is a longstanding model system for studying evolution and biodiversity. Here, we collected and analyzed high quality song recordings from seven species in the family Estrildidae. We measured the acoustic features of syllables and then used dimensionality reduction and machine learning classifiers to identify features that accurately assigned syllables to species. Species differences were captured by the first 3 principal components, corresponding to basic frequency, power distribution, and spectrotemporal features. We then identified the measured features underlying classification accuracy. We found that fundamental frequency, mean frequency, spectral flatness, and syllable duration were the most informative features for species identification. Next, we tested whether specific acoustic features of species' songs predicted phylogenetic distance. We found significant phylogenetic signal in syllable frequency features, but not in power distribution or spectrotemporal features. Results suggest that frequency features are more constrained by species' genetics than are other features, and are the best signal features for identifying species from song recordings. The absence of phylogenetic signal in power distribution and spectrotemporal features suggests that these song features are labile, reflecting learning processes and individual recognition.
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Affiliation(s)
- Moises Rivera
- Department of Psychology, Hunter College and the Graduate Center, City University of New York, New York, NY, 10065, USA
- Mortimer B. Zuckerman Mind, Brain, and Behavior Institute, Columbia University, New York, NY, 10027, USA
| | - Jacob A Edwards
- Mortimer B. Zuckerman Mind, Brain, and Behavior Institute, Columbia University, New York, NY, 10027, USA
- Department of Psychology, Columbia University, New York, NY, 10027, USA
| | - Mark E Hauber
- Department of Evolution, Ecology, and Behavior, School of Biological Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Sarah M N Woolley
- Mortimer B. Zuckerman Mind, Brain, and Behavior Institute, Columbia University, New York, NY, 10027, USA.
- Department of Psychology, Columbia University, New York, NY, 10027, USA.
- Zuckerman Institute at Columbia University, Jerome L. Greene Science Center, 3227 Broadway, L3.028, New York, NY, 10027, USA.
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12
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Zou W, Liang H, Wu P, Luo B, Zhou D, Liu W, Wu J, Fang L, Lei Y, Feng J. Correlated evolution of wing morphology and echolocation calls in bats. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.1031548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
IntroductionFlight and echolocation are two crucial behaviors associated with niche expansion in bats. Previous researches have attempted to explain the interspecific divergence in flight morphology and echolocation vocalizations in some bat groups from the perspective of foraging ecology. However, the relationship between wing morphology and echolocation vocalizations of bats remains obscure, especially in a phylogenetic context.ObjectivesHere, we aimed to assess the correlated evolution of wing morphology and echolocation calls in bats within a phylogenetic comparative framework.MethodsWe integrated the information on search-phrase echolocation call duration, peak frequency, relative wing loading, aspect ratio, and foraging guilds for 152 bat species belonging to 15 families. We quantified the association among wing morphology, echolocation call parameters, and foraging guilds using phylogeny-based comparative analyses.ResultsOur analyses revealed that wing morphology and echolocation call parameters depended on families and exhibited a marked phylogenetic signal. Peak frequency of the call was negatively correlated with relative wing loading and aspect ratio. Call duration was positively correlated with relative wing loading and aspect ratio among open-space aerial foragers, edge-space aerial foragers, edge-space trawling foragers, and narrow-space gleaning foragers. Wing morphology, call duration, and peak frequency were predicted by foraging guilds.ConclusionThese results demonstrate that adaptive response to foraging ecology has shaped the correlated evolution between flight morphology and echolocation calls in bats. Our findings expand the current knowledge regarding the link between morphology and vocalizations within the order Chiroptera.
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OUP accepted manuscript. Biol J Linn Soc Lond 2022. [DOI: 10.1093/biolinnean/blac047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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Vernes SC, Janik VM, Fitch WT, Slater PJB. Vocal learning in animals and humans. Philos Trans R Soc Lond B Biol Sci 2021; 376:20200234. [PMID: 34482718 PMCID: PMC8422595 DOI: 10.1098/rstb.2020.0234] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Affiliation(s)
- Sonja C Vernes
- School of Biology, The University of St Andrews, St Andrews, UK.,Neurogenetics of Vocal Communication Group, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Vincent M Janik
- School of Biology, The University of St Andrews, St Andrews, UK
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