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Farias-Virgens M, Peede D, Deacon T, Okanoya K, White SA, Huerta-Sanchez E. The genomics of the domestication syndrome in a songbird model species. Commun Biol 2025; 8:853. [PMID: 40461714 PMCID: PMC12134088 DOI: 10.1038/s42003-025-08235-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2024] [Accepted: 05/15/2025] [Indexed: 06/11/2025] Open
Abstract
Many domesticated animals share a syndromic phenotype marked by a suite of traits that include more variable patterns of coloration, reduced stress, aggression, and altered risk-taking and exploratory behaviors relative to their wild counterparts. Roughly 150 years after Darwin's pioneering insight into this phenomenon, reasonable progress has been made in understanding the evolutionary and biological basis of the so-called domesticated phenotype in mammals. However, the extent to which these processes are paralleled in non-mammalian domesticates is scant. Here, we address this knowledge gap by investigating the genetic basis of the domesticated phenotype in the Bengalese finch, a songbird frequently found in pet shops and a popular animal model in the study of learned vocal behaviors. Using whole-genome sequencing and population genomic approaches, we identify strain-specific selection signals in the Bengalee finch and its wild munia ancestor. Our findings suggest that, like in mammals, the evolution of the domestication syndrome in avian species involves a shift in the selective regime, capable of altering brain circuits favoring the dynamic modulation of motivation and reward sensitivity over augmented aggression and stress responses.
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Affiliation(s)
| | - David Peede
- Department of Ecology, Evolution, and Organismal and Evolutionary Biology, Brown University, Providence, RI, USA
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
- Institute at Brown for Environment and Society, Brown University, Providence, RI, USA
| | - Terrence Deacon
- Department of Anthropology, University of California Berkeley, Berkeley, CA, USA
| | - Kazuo Okanoya
- Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
| | - Stephanie A White
- Department of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA, USA
| | - Emilia Huerta-Sanchez
- Department of Ecology, Evolution, and Organismal and Evolutionary Biology, Brown University, Providence, RI, USA
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
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2
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Wright D, Westander J, Jensen P. Domestication effects on crowing in chickens: variation between wild and captive red junglefowl and domestic white Leghorn and the genetic architecture of crowing vocalizations. Philos Trans R Soc Lond B Biol Sci 2025; 380:20240199. [PMID: 40370017 PMCID: PMC12079126 DOI: 10.1098/rstb.2024.0199] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Revised: 12/31/2024] [Accepted: 01/20/2025] [Indexed: 05/16/2025] Open
Abstract
The crowing of the male chicken is a charismatic example of vocal display in a bird. It is regarded as the main territorial announcement of the ancestral red junglefowl. The call has been preserved throughout domestication, although several of its elements have been altered. To assess these alterations, we assayed crowing spectrograms from wild and captive-held red junglefowl populations from India, along with two red junglefowl populations held in long-term captivity in Sweden, and a domestic white Leghorn breed. We find consistent differences between the different Indian red junglefowl and the domestic white Leghorn for a range of characteristics, including the duration of the last syllable and the number of formants and their frequency in the last and second-to-last syllable. To analyse the genetic architecture of crowing vocalization, we performed a quantitative trait loci (QTL) experiment using a wild × domestic advanced intercross to identify QTL that explained a large percentage of the variation present for the duration of the last syllable and the number of formants in the second to last syllable. With this study we thus demonstrate consistent differences in red junglefowl and white Leghorn chickens and identify a relatively simple genetic architecture for some of these traits.This article is part of the theme issue 'Unravelling domestication: multi-disciplinary perspectives on human and non-human relationships in the past, present and future'.
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Affiliation(s)
| | - Jennie Westander
- Skansen Foundation, Department of Zoology, Stockholm, Sweden
- Department of Zoology, Stockholm University, Stockholm, Sweden
| | - P. Jensen
- IFM Biology, Linköping University, Linköping, Sweden
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3
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Nikolsky A, Benítez-Burraco A. The evolution of human music in light of increased prosocial behavior: a new model. Phys Life Rev 2024; 51:114-228. [PMID: 39426069 DOI: 10.1016/j.plrev.2023.11.016] [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: 11/17/2023] [Accepted: 11/21/2023] [Indexed: 10/21/2024]
Abstract
Together with language, music is perhaps our most distinctive behavioral trait. Following the lead of evolutionary linguistic research, different hypotheses have been proposed to explain why only humans perform music and how this ability might have evolved in the species. In this paper, we advance a new model of music evolution that builds on the theory of self-domestication, according to which the human phenotype is, at least in part, the outcome of a process similar to mammal domestication, triggered by a progressive reduction in reactive aggression levels in response to environmental changes. In the paper, we specifically argue that changes in aggression management through the course of human cultural evolution can account for the behaviors conducive to the emergence and evolution of music. We hypothesize 4 stages in the evolutionary development of music under the influence of environmental changes and evolution of social organization: starting from musilanguage, 1) proto-music gave rise to 2) personal and private forms of timbre-oriented music, then to 3) small-group ensembles of pitch-oriented music, at first of indefinite and then definite pitch, and finally to 4) collective (tonal) music. These stages parallel what has been hypothesized for languages and encompass the diversity of music types and genres described worldwide. Overall, music complexity emerges in a gradual fashion under the effects of enhanced abilities for cultural niche construction, resulting from the stable trend of reduction in reactive aggression towards the end of the Pleistocene, leading to the rise of hospitality codes, and succeeded by the increase in proactive aggression from the beginning of the Holocene onward. This paper addresses numerous controversies in the literature on the evolution of music by providing a clear structural definition of music, identifying its structural features that distinguish it from oral language, and summarizing the typology of operational functions of music and formats of its transmission. The proposed framework of structural approach to music arms a researcher with means to identify and comparatively analyze different schemes of tonal organization of music, placing them in the context of human social and cultural evolution. Especially valuable is the theory of so-called "personal song", described and analyzed here from ethological, social, cultural, cognitive, and musicological perspectives. Personal song seems to constitute a remnant of the proto-musical transition from animal communication to human music as we know it today. We interlink the emergence of personal song with the evolution of kinship, placing both of them on the timeline of cultural evolution - based on totality of ethnographic, archaeological, anthropological, genetic, and paleoclimatic data.
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Affiliation(s)
| | - Antonio Benítez-Burraco
- Department of Spanish, Linguistics and Literary Theory (Linguistics), Faculty of Philology, University of Seville, Spain.
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4
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Wirthlin ME, Schmid TA, Elie JE, Zhang X, Kowalczyk A, Redlich R, Shvareva VA, Rakuljic A, Ji MB, Bhat NS, Kaplow IM, Schäffer DE, Lawler AJ, Wang AZ, Phan BN, Annaldasula S, Brown AR, Lu T, Lim BK, Azim E, Clark NL, Meyer WK, Pond SLK, Chikina M, Yartsev MM, Pfenning AR. Vocal learning-associated convergent evolution in mammalian proteins and regulatory elements. Science 2024; 383:eabn3263. [PMID: 38422184 PMCID: PMC11313673 DOI: 10.1126/science.abn3263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/20/2024] [Indexed: 03/02/2024]
Abstract
Vocal production learning ("vocal learning") is a convergently evolved trait in vertebrates. To identify brain genomic elements associated with mammalian vocal learning, we integrated genomic, anatomical, and neurophysiological data from the Egyptian fruit bat (Rousettus aegyptiacus) with analyses of the genomes of 215 placental mammals. First, we identified a set of proteins evolving more slowly in vocal learners. Then, we discovered a vocal motor cortical region in the Egyptian fruit bat, an emergent vocal learner, and leveraged that knowledge to identify active cis-regulatory elements in the motor cortex of vocal learners. Machine learning methods applied to motor cortex open chromatin revealed 50 enhancers robustly associated with vocal learning whose activity tended to be lower in vocal learners. Our research implicates convergent losses of motor cortex regulatory elements in mammalian vocal learning evolution.
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Affiliation(s)
- Morgan E. Wirthlin
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
| | - Tobias A. Schmid
- Helen Wills Neuroscience Institute, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Julie E. Elie
- Helen Wills Neuroscience Institute, University of California, Berkeley; Berkeley, CA 94708, USA
- Department of Bioengineering, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Xiaomeng Zhang
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Amanda Kowalczyk
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
| | - Ruby Redlich
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Varvara A. Shvareva
- Department of Molecular and Cell Biology, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Ashley Rakuljic
- Department of Molecular and Cell Biology, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Maria B. Ji
- Department of Psychology, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Ninad S. Bhat
- Department of Molecular and Cell Biology, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Irene M. Kaplow
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
| | - Daniel E. Schäffer
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Alyssa J. Lawler
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
- Department of Biological Sciences, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Andrew Z. Wang
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - BaDoi N. Phan
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
| | - Siddharth Annaldasula
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Ashley R. Brown
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
| | - Tianyu Lu
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Byung Kook Lim
- Neurobiology section, Division of Biological Science, University of California, San Diego; La Jolla, CA 92093, USA
| | - Eiman Azim
- Molecular Neurobiology Laboratory, Salk Institute for Biological Studies; La Jolla, CA 92037, USA
| | - Nathan L. Clark
- Department of Biological Sciences, University of Pittsburgh; Pittsburgh, PA 15213, USA
| | - Wynn K. Meyer
- Department of Biological Sciences, Lehigh University; Bethlehem, PA 18015, USA
| | | | - Maria Chikina
- Department of Computational and Systems Biology, University of Pittsburgh; Pittsburgh, PA 15213, USA
| | - Michael M. Yartsev
- Helen Wills Neuroscience Institute, University of California, Berkeley; Berkeley, CA 94708, USA
- Department of Bioengineering, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Andreas R. Pfenning
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
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5
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Boeckx C. What made us "hunter-gatherers of words". Front Neurosci 2023; 17:1080861. [PMID: 36845441 PMCID: PMC9947416 DOI: 10.3389/fnins.2023.1080861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 01/19/2023] [Indexed: 02/11/2023] Open
Abstract
This paper makes three interconnected claims: (i) the "human condition" cannot be captured by evolutionary narratives that reduce it to a recent 'cognitive modernity', nor by narratives that eliminates all cognitive differences between us and out closest extinct relatives, (ii) signals from paleogenomics, especially coming from deserts of introgression but also from signatures of positive selection, point to the importance of mutations that impact neurodevelopment, plausibly leading to temperamental differences, which may impact cultural evolutionary trajectories in specific ways, and (iii) these trajectories are expected to affect the language phenotypes, modifying what is being learned and how it is put to use. In particular, I hypothesize that these different trajectories influence the development of symbolic systems, the flexible ways in which symbols combine, and the size and configurations of the communities in which these systems are put to use.
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Affiliation(s)
- Cedric Boeckx
- Section of General Linguistics, Universitat de Barcelona, Barcelona, Spain
- Institute of Complex Systems, Universitat de Barcelona, Barcelona, Spain
- Catalan Institute for Research and Advanced Studies (ICREA), Barcelona, Spain
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6
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Secomandi S, Gallo GR, Sozzoni M, Iannucci A, Galati E, Abueg L, Balacco J, Caprioli M, Chow W, Ciofi C, Collins J, Fedrigo O, Ferretti L, Fungtammasan A, Haase B, Howe K, Kwak W, Lombardo G, Masterson P, Messina G, Møller AP, Mountcastle J, Mousseau TA, Ferrer Obiol J, Olivieri A, Rhie A, Rubolini D, Saclier M, Stanyon R, Stucki D, Thibaud-Nissen F, Torrance J, Torroni A, Weber K, Ambrosini R, Bonisoli-Alquati A, Jarvis ED, Gianfranceschi L, Formenti G. A chromosome-level reference genome and pangenome for barn swallow population genomics. Cell Rep 2023; 42:111992. [PMID: 36662619 PMCID: PMC10044405 DOI: 10.1016/j.celrep.2023.111992] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 07/20/2022] [Accepted: 01/04/2023] [Indexed: 01/20/2023] Open
Abstract
Insights into the evolution of non-model organisms are limited by the lack of reference genomes of high accuracy, completeness, and contiguity. Here, we present a chromosome-level, karyotype-validated reference genome and pangenome for the barn swallow (Hirundo rustica). We complement these resources with a reference-free multialignment of the reference genome with other bird genomes and with the most comprehensive catalog of genetic markers for the barn swallow. We identify potentially conserved and accelerated genes using the multialignment and estimate genome-wide linkage disequilibrium using the catalog. We use the pangenome to infer core and accessory genes and to detect variants using it as a reference. Overall, these resources will foster population genomics studies in the barn swallow, enable detection of candidate genes in comparative genomics studies, and help reduce bias toward a single reference genome.
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Affiliation(s)
- Simona Secomandi
- Department of Biosciences, University of Milan, Milan, Italy; Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
| | - Guido R Gallo
- Department of Biosciences, University of Milan, Milan, Italy
| | | | - Alessio Iannucci
- Department of Biology, University of Florence, Sesto Fiorentino (FI), Italy
| | - Elena Galati
- Department of Biosciences, University of Milan, Milan, Italy
| | - Linelle Abueg
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Jennifer Balacco
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Manuela Caprioli
- Department of Environmental Sciences and Policy, University of Milan, Milan, Italy
| | | | - Claudio Ciofi
- Department of Biology, University of Florence, Sesto Fiorentino (FI), Italy
| | | | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Luca Ferretti
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | | | - Bettina Haase
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | | | - Woori Kwak
- Department of Medical and Biological Sciences, The Catholic University of Korea, Bucheon 14662, Korea
| | - Gianluca Lombardo
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | | | - Anders P Møller
- Ecologie Systématique Evolution, Université Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Orsay Cedex, France
| | | | - Timothy A Mousseau
- Department of Biological Sciences, University of South Carolina, Columbia, SC 29208, USA
| | - Joan Ferrer Obiol
- Department of Environmental Sciences and Policy, University of Milan, Milan, Italy
| | - Anna Olivieri
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Diego Rubolini
- Department of Environmental Sciences and Policy, University of Milan, Milan, Italy
| | | | - Roscoe Stanyon
- Department of Biology, University of Florence, Sesto Fiorentino (FI), Italy
| | | | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | | | - Antonio Torroni
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | | | - Roberto Ambrosini
- Department of Environmental Sciences and Policy, University of Milan, Milan, Italy
| | - Andrea Bonisoli-Alquati
- Department of Biological Sciences, California State Polytechnic University - Pomona, Pomona, CA, USA
| | - Erich D Jarvis
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA; The Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | | | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA.
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7
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Benítez-Burraco A, Pörtl D, Jung C. Did Dog Domestication Contribute to Language Evolution? Front Psychol 2021; 12:695116. [PMID: 34589022 PMCID: PMC8473740 DOI: 10.3389/fpsyg.2021.695116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 08/02/2021] [Indexed: 11/20/2022] Open
Abstract
Different factors seemingly account for the emergence of present-day languages in our species. Human self-domestication has been recently invoked as one important force favoring language complexity mostly via a cultural mechanism. Because our self-domestication ultimately resulted from selection for less aggressive behavior and increased prosocial behavior, any evolutionary or cultural change impacting on aggression levels is expected to have fostered this process. Here, we hypothesize about a parallel domestication of humans and dogs, and more specifically, about a positive effect of our interaction with dogs on human self-domestication, and ultimately, on aspects of language evolution, through the mechanisms involved in the control of aggression. We review evidence of diverse sort (ethological mostly, but also archeological, genetic, and physiological) supporting such an effect and propose some ways of testing our hypothesis.
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Affiliation(s)
- Antonio Benítez-Burraco
- Department of Spanish, Linguistics, and Theory of Literature (Linguistics), Faculty of Philology, University of Seville, Seville, Spain
| | - Daniela Pörtl
- Psychiatric Department, Saale-Unstrut Klinikum, Teaching Hospital Leipzig and Jena Universities, Naumburg, Germany
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