1
|
Kraft FLH, Crino OL, Adeniran-Obey SO, Moraney RA, Clayton DF, George JM, Buchanan KL. Parental developmental experience affects vocal learning in offspring. Sci Rep 2024; 14:13787. [PMID: 38877207 PMCID: PMC11178867 DOI: 10.1038/s41598-024-64520-8] [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: 09/20/2023] [Accepted: 06/10/2024] [Indexed: 06/16/2024] Open
Abstract
Cultural and genetic inheritance combine to enable rapid changes in trait expression, but their relative importance in determining trait expression across generations is not clear. Birdsong is a socially learned cognitive trait that is subject to both cultural and genetic inheritance, as well as being affected by early developmental conditions. We sought to test whether early-life conditions in one generation can affect song acquisition in the next generation. We exposed one generation (F1) of nestlings to elevated corticosterone (CORT) levels, allowed them to breed freely as adults, and quantified their son's (F2) ability to copy the song of their social father. We also quantified the neurogenetic response to song playback through immediate early gene (IEG) expression in the auditory forebrain. F2 males with only one corticosterone-treated parent copied their social father's song less accurately than males with two control parents. Expression of ARC in caudomedial nidopallium (NCM) correlated with father-son song similarity, and patterns of expression levels of several IEGs in caudomedial mesopallium (CMM) in response to father song playback differed between control F2 sons and those with a CORT-treated father only. This is the first study to demonstrate that developmental conditions can affect social learning and neurogenetic responses in a subsequent generation.
Collapse
Affiliation(s)
- Fanny-Linn H Kraft
- School of Life and Environmental Sciences, Deakin University, Geelong, Australia.
- Department of Zoology, Stockholm University, Stockholm, Sweden.
| | - Ondi L Crino
- School of Life and Environmental Sciences, Deakin University, Geelong, Australia
- College of Science and Engineering, Flinders University, Bedford Park, SA, Australia
| | | | - Raven A Moraney
- Department of Biological Sciences, Clemson University, Clemson, SC, USA
| | - David F Clayton
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
- Department of Genetics and Biochemistry, Clemson University, Clemson, SC, USA
| | - Julia M George
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
- Department of Biological Sciences, Clemson University, Clemson, SC, USA
| | - Katherine L Buchanan
- School of Life and Environmental Sciences, Deakin University, Geelong, Australia
| |
Collapse
|
2
|
Ali HAA, Coulson T, Clegg SM, Quilodrán CS. The effect of divergent and parallel selection on the genomic landscape of divergence. Mol Ecol 2024; 33:e17225. [PMID: 38063473 DOI: 10.1111/mec.17225] [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: 07/19/2023] [Revised: 10/25/2023] [Accepted: 11/16/2023] [Indexed: 01/25/2024]
Abstract
While the role of selection in divergence along the speciation continuum is theoretically well understood, defining specific signatures of selection in the genomic landscape of divergence is empirically challenging. Modelling approaches can provide insight into the potential role of selection on the emergence of a heterogenous genomic landscape of divergence. Here, we extend and apply an individual-based approach that simulates the phenotypic and genotypic distributions of two populations under a variety of selection regimes, genotype-phenotype maps, modes of migration, and genotype-environment interactions. We show that genomic islands of high differentiation and genomic valleys of similarity may respectively form under divergent and parallel selection between populations. For both types of between-population selection, negative and positive frequency-dependent selection within populations generated genomic islands of higher magnitude and genomic valleys of similarity, respectively. Divergence rates decreased under strong dominance with divergent selection, as well as in models including genotype-environment interactions under parallel selection. For both divergent and parallel selection models, divergence rate was higher under an intermittent migration regime between populations, in contrast to a constant level of migration across generations, despite an equal number of total migrants. We highlight that interpreting a particular evolutionary history from an observed genomic pattern must be done cautiously, as similar patterns may be obtained from different combinations of evolutionary processes. Modelling approaches such as ours provide an opportunity to narrow the potential routes that generate the genomic patterns of specific evolutionary histories.
Collapse
Affiliation(s)
- Hisham A A Ali
- Department of Biology, Edward Grey Institute of Field Ornithology, University of Oxford, Oxford, UK
| | - Tim Coulson
- Department of Biology, Edward Grey Institute of Field Ornithology, University of Oxford, Oxford, UK
| | - Sonya M Clegg
- Department of Biology, Edward Grey Institute of Field Ornithology, University of Oxford, Oxford, UK
| | - Claudio S Quilodrán
- Department of Biology, Edward Grey Institute of Field Ornithology, University of Oxford, Oxford, UK
- Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland
| |
Collapse
|
3
|
McDermott MT, Safran RJ. Sensitive periods during the development and expression of vertebrate sexual signals: A systematic review. Ecol Evol 2021; 11:14416-14432. [PMID: 34765116 PMCID: PMC8571593 DOI: 10.1002/ece3.8203] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 08/14/2021] [Accepted: 09/19/2021] [Indexed: 01/01/2023] Open
Abstract
Many sexually selected traits exhibit phenotypic plasticity. Despite a growing appreciation for the ecological context in which sexual selection occurs, and for the role of plasticity in shaping traits associated with local adaptation and divergence, there is an important gap in knowledge about the onset and duration of plasticity in sexual trait expression. Integrating this temporal dimension of plasticity into models of sexual selection informs our understanding of the information conveyed by sexual traits and our predictions related to trait evolution, and is critical in this time of unprecedented and rapid environmental change. We conducted a systematic review of 869 studies to ask how trait modalities (e.g., visual and chemical) relate to the onset and duration of plasticity in vertebrate sexual signals. We show that this literature is dominated by studies of coloration in birds and fish, and most studies take place during the breeding season. Where possible, we integrate results across studies to link physiology of specific trait modalities with the life stage (e.g., juvenile, breeding, or nonbreeding) during which plasticity occurs in well-studied traits. Limitations of our review included a lack of replication in our dataset, which precluded formal analysis. We argue that the timing of trait plasticity, in addition to environmental context, is critical for determining whether and how various communication signals are associated with ecological context, because plasticity may be ongoing or occur at only one point in an individual's lifetime, and determining a fixed trajectory of trait expression. We advocate for careful consideration of the onset and duration of plasticity when analyzing how environmental variation affects sexual trait expression and associated evolutionary outcomes.
Collapse
Affiliation(s)
- Molly T. McDermott
- Department of Ecology and Evolutionary BiologyUniversity of ColoradoBoulderCOUSA
| | - Rebecca J. Safran
- Department of Ecology and Evolutionary BiologyUniversity of ColoradoBoulderCOUSA
| |
Collapse
|
4
|
Kraft FLH, Crino OL, Buchanan KL. Developmental conditions have intergenerational effects on corticosterone levels in a passerine. Horm Behav 2021; 134:105023. [PMID: 34224992 DOI: 10.1016/j.yhbeh.2021.105023] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 06/03/2021] [Accepted: 06/18/2021] [Indexed: 01/09/2023]
Abstract
The developmental environment can have powerful, canalizing effects that last throughout an animal's life and even across generations. Intergenerational effects of early-life conditions may affect offspring phenotype through changes in the hypothalamic-pituitary-adrenal axis (HPA). However, such effects remain largely untested in altricial birds. Here, we tested the impact of maternal and paternal developmental conditions on offspring physiology and morphology in the zebra finch (Taeniopygia guttata). Specifically, we exposed one generation (F1) to elevated corticosterone (CORT) during development and quantified the impact on offspring (F2) phenotype. We predicted that intergenerational effects would be apparent through effects of parental developmental treatment on offspring body mass, growth, body condition, body composition, and CORT levels. We found an intergenerational impact on CORT levels, such that F2 birds reared by CORT-treated fathers had higher baseline CORT than F2 birds reared by control fathers. This result shows the potential for intergenerational effects on endocrine function, resulting from developmental conditions. We found no effect of parental treatment on F2 body mass, size, or body condition, but we found that the body mass and tarsus length for offspring and parent were correlated. Our study demonstrates the subtle effects of developmental conditions across generations and highlights the importance of distinguishing between maternal and paternal effects when studying intergenerational effects, especially for species with biparental care.
Collapse
Affiliation(s)
| | - Ondi L Crino
- Department of Biological Sciences, Macquarie University, Sydney, NSW, Australia
| | - Katherine L Buchanan
- School of Life and Environmental Sciences, Deakin University, 3228 Victoria, Australia
| |
Collapse
|
5
|
The Development of Anxiety and Exploration in Two Species of the African Striped Mouse Rhabdomys. Behav Genet 2021; 51:414-424. [PMID: 33768361 DOI: 10.1007/s10519-021-10054-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 03/09/2021] [Indexed: 10/21/2022]
Abstract
Genes and the environment interact to produce complex, environmentally relevant behaviors. We tested whether the behavior of two sister species of striped mice originating from different habitats (semi-arid Rhabdomys pumilio and grassland R. bechuanae) are modulated by the early social rearing environment. We cross-fostered pups between the species, and at adulthood tested their exploratory behavior and anxiety in open field and novel object tests, and a plus maze. We expected that the early social rearing environment would alter the phenotype of both species. Regardless of treatment, R. bechuanae were more exploratory and slightly less anxious than R. pumilio. However, fostered individuals of both species showed no changes in exploratory and anxiety responses. Thus there may be a genetic influence on behavioral development, or the early rearing environments of R. pumilio and R. bechuanae are not sufficiently different to alter behavior.
Collapse
|
6
|
Abstract
Animals display an astonishing array of diverse colors and patterns, and animals also exhibit preferences for these diverse, species-specific traits when choosing a mate (i.e., assortative mate preference). It is hypothesized that in order for both preference and trait to be species specific, alleles for a trait and the preference for that trait must be inherited together and hence maintained as linked loci. This linkage could be maintained by three different genetic architectures: (A) the genes responsible for a species-specific preferred trait also directly influence preference for that trait; (B) genes producing preference and the preferred trait are not identical but are instead in close physical proximity in the genome; and (C) genes for preference and the preferred trait are nonadjacent but are inherited together due to selection. Merrill and colleagues test these hypotheses by performing large-scale genetic mapping of mating behavior using hybrids of two sympatric species of Heliconius butterflies, Heliconius melpomene and H. cydno. They identified three small genomic regions highly associated with mate preference, one of which was adjacent to a gene for the preferred trait, and two of which were not. Their findings illustrate that mate preference may be influenced by a small number of genes, while providing support for multiple hypotheses for the genetic architecture of assortative mate preferences.
Collapse
Affiliation(s)
- Erica L. Westerman
- Department of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, United States of America
| |
Collapse
|
7
|
Labra A, Lampe HM. The songs of male pied flycatchers: exploring the legacy of the fathers. PeerJ 2018; 6:e5397. [PMID: 30083477 PMCID: PMC6076429 DOI: 10.7717/peerj.5397] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Accepted: 07/17/2018] [Indexed: 11/27/2022] Open
Abstract
Singing is a key element of songbirds’ behavioral repertoire, particularly for males, which sing during the breeding season to defend resources against other males and to attract females. Different song traits may convey honest information about males’ qualities or conditions, which may be used by females to select their mates. Traits under strong sexual selection have an important component of additive genetic variation (i.e., the main genetic inheritance from parents), and so relatively high heritability; therefore, it can be expected that song traits also do. Although the act of singing is an innate behavior, and thus, genetically determined, songbirds need to learn their songs and therefore the genetic contribution to song traits may be reduced by the effect of environmental factors. We tested this hypothesis in seven song traits recorded in the long-distance migratory bird, the pied flycatcher (Ficedula hypoleuca). From a 23-year database (1992–2015), we obtained songs for 28 father–son pairs, and for each song trait we applied parent–offspring regressions to estimate heritability. The type of syllables sung are learned from tutors, and here we also determined the cultural contribution of fathers to the song repertoires of their sons, by quantifying the percentage of syllables that sons shared with their fathers, and compared this with what sons shared with other males in the population (e.g., neighbors). The heritabilities of song traits were highly variable (ranging from −0.22 to 0.56), but most of these were around zero and none of them were significant. These results indicate that the seven song traits are most likely determined by environmental factors. Sons shared more syllables with their fathers than with neighbors (21% vs. 3%), suggesting that fathers are important song tutors during the nestling period. We conclude that there is a cultural inheritance from fathers to their sons’ syllable repertoires, but there is no strong evidence for a genetic contribution of fathers to the seven song traits studied.
Collapse
Affiliation(s)
- Antonieta Labra
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Oslo, Norway
| | - Helene M Lampe
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Oslo, Norway
| |
Collapse
|
8
|
Mets DG, Brainard MS. Genetic variation interacts with experience to determine interindividual differences in learned song. Proc Natl Acad Sci U S A 2018; 115:421-426. [PMID: 29279376 PMCID: PMC5777042 DOI: 10.1073/pnas.1713031115] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Learning reflects the influence of experience on genetically determined circuitry, but little is known about how experience and genetics interact to determine complex learned phenotypes. Here, we used vocal learning in songbirds to study how experience and genetics contribute to interindividual differences in learned song. Previous work has established that such differences in song within a species depend on learning, but in principle some of these differences could also depend on genetic variation. We focused on song tempo, a learned and quantifiable feature that is controlled by central neural circuitry. To identify genetic contributions to tempo we computer-tutored juvenile Bengalese finches (Lonchura striata domestica) from different genetic backgrounds with synthetic songs in which tempo was systematically varied. Computer-tutored birds exhibited unexpectedly strong heritability for song tempo and comparatively weak influence of experience. We then tested whether heritability was fixed and independent of experience by providing a second group of birds with enriched instruction via live social tutoring. Live tutoring resulted in not only a significant increase in the influence of experience on tempo but also a dramatic decrease in the influence of genetics, indicating that enriched instruction could overcome genetic biases evident under computer tutoring. Our results reveal strong heritable genetic contributions to interindividual variation in song tempo but that the degree of heritability depends profoundly on the quality of instruction. They suggest that for more complex learned phenotypes, where it can be difficult to identify and control relevant experiential variables, heritability may similarly be contingent on the specifics of experience.
Collapse
Affiliation(s)
- David G Mets
- Department of Physiology, University of California, San Francisco, CA 94158;
- Department of Psychiatry, University of California, San Francisco, CA 94158
- Center for Integrative Neuroscience, University of California, San Francisco, CA 94158
- Howard Hughes Medical Institute, University of California, San Francisco, CA 94158
| | - Michael S Brainard
- Department of Physiology, University of California, San Francisco, CA 94158;
- Department of Psychiatry, University of California, San Francisco, CA 94158
- Center for Integrative Neuroscience, University of California, San Francisco, CA 94158
- Howard Hughes Medical Institute, University of California, San Francisco, CA 94158
| |
Collapse
|
9
|
de Boer RA, Eens M, Müller W. 'Out of tune': consequences of inbreeding on bird song. Proc Biol Sci 2017; 283:rspb.2016.1142. [PMID: 27466453 DOI: 10.1098/rspb.2016.1142] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Accepted: 07/07/2016] [Indexed: 11/12/2022] Open
Abstract
The expression of bird song is expected to signal male quality to females. 'Quality' is determined by genetic and environmental factors, but, surprisingly, there is very limited evidence if and how genetic aspects of male quality are reflected in song. Here, we manipulated the genetic make-up of canaries (Serinus canaria) via inbreeding, and studied its effects upon song output, complexity, phonetics and, for the first time, song learning. To this end, we created weight-matched inbred and outbred pairs of male fledglings, which were subsequently exposed to the same tutor male during song learning. Inbreeding strongly affected syllable phonetics, but there were little or no effects on other song features. Nonetheless, females discriminated among inbred and outbred males, as they produced heavier clutches when mated with an outbred male. Our study highlights the importance of song phonetics, which has hitherto often been overlooked.
Collapse
Affiliation(s)
- Raïssa A de Boer
- Behavioural Ecology and Ecophysiology Group, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium
| | - Marcel Eens
- Behavioural Ecology and Ecophysiology Group, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium
| | - Wendt Müller
- Behavioural Ecology and Ecophysiology Group, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium
| |
Collapse
|
10
|
London SE. Developmental song learning as a model to understand neural mechanisms that limit and promote the ability to learn. Behav Processes 2017; 163:13-23. [PMID: 29162376 DOI: 10.1016/j.beproc.2017.11.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Revised: 10/04/2017] [Accepted: 11/10/2017] [Indexed: 12/27/2022]
Abstract
Songbirds famously learn their vocalizations. Some species can learn continuously, others seasonally, and still others just once. The zebra finch (Taeniopygia guttata) learns to sing during a single developmental "Critical Period," a restricted phase during which a specific experience has profound and permanent effects on brain function and behavioral patterns. The zebra finch can therefore provide fundamental insight into features that promote and limit the ability to acquire complex learned behaviors. For example, what properties permit the brain to come "on-line" for learning? How does experience become encoded to prevent future learning? What features define the brain in receptive compared to closed learning states? This piece will focus on epigenomic, genomic, and molecular levels of analysis that operate on the timescales of development and complex behavioral learning. Existing data will be discussed as they relate to Critical Period learning, and strategies for future studies to more directly address these questions will be considered. Birdsong learning is a powerful model for advancing knowledge of the biological intersections of maturation and experience. Lessons from its study not only have implications for understanding developmental song learning, but also broader questions of learning potential and the enduring effects of early life experience on neural systems and behavior.
Collapse
Affiliation(s)
- Sarah E London
- Department of Psychology, Institute for Mind and Biology, Grossman Institute for Neuroscience, Quantitative Biology and Human Behavior, University of Chicago, 940 E 57th Street, Chicago, IL 60637, USA.
| |
Collapse
|
11
|
|
12
|
Griffith SC, Crino OL, Andrew SC, Nomano FY, Adkins-Regan E, Alonso-Alvarez C, Bailey IE, Bittner SS, Bolton PE, Boner W, Boogert N, Boucaud ICA, Briga M, Buchanan KL, Caspers BA, Cichoń M, Clayton DF, Derégnaucourt S, Forstmeier W, Guillette LM, Hartley IR, Healy SD, Hill DL, Holveck MJ, Hurley LL, Ihle M, Tobias Krause E, Mainwaring MC, Marasco V, Mariette MM, Martin-Wintle MS, McCowan LSC, McMahon M, Monaghan P, Nager RG, Naguib M, Nord A, Potvin DA, Prior NH, Riebel K, Romero-Haro AA, Royle NJ, Rutkowska J, Schuett W, Swaddle JP, Tobler M, Trompf L, Varian-Ramos CW, Vignal C, Villain AS, Williams TD. Variation in Reproductive Success Across Captive Populations: Methodological Differences, Potential Biases and Opportunities. Ethology 2016. [DOI: 10.1111/eth.12576] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Simon C. Griffith
- Department of Biological Sciences; Macquarie University; Sydney NSW Australia
| | - Ondi L. Crino
- Department of Biological Sciences; Macquarie University; Sydney NSW Australia
| | - Samuel C. Andrew
- Department of Biological Sciences; Macquarie University; Sydney NSW Australia
| | - Fumiaki Y. Nomano
- Department of Biological Sciences; Macquarie University; Sydney NSW Australia
| | - Elizabeth Adkins-Regan
- Department of Psychology and Department of Neurobiology and Behavior; Cornell University; Ithaca NY USA
| | - Carlos Alonso-Alvarez
- Instituto de Investigación en Recursos Cinegéticos (IREC) - CSIC-UCLM-JCCM; Ciudad Real Spain
- Departamento de Ecología Evolutiva; Museo Nacional de Ciencias Naturales - CSIC; Madrid Spain
| | - Ida E. Bailey
- School of Biology; University of St Andrews; St Andrews, Fife UK
| | | | - Peri E. Bolton
- Department of Biological Sciences; Macquarie University; Sydney NSW Australia
| | - Winnie Boner
- Institute of Biodiversity, Animal Health and Comparative Medicine; College of Medical, Veterinary and Life Sciences; University of Glasgow; Glasgow UK
| | - Neeltje Boogert
- School of Psychology; University of St Andrews; St Andrews, Fife UK
| | - Ingrid C. A. Boucaud
- CNRS UMR 9197 NeuroPSI/ENES; Université de Lyon/Saint-Etienne; Saint-Etienne France
| | - Michael Briga
- Behavioural Biology; University of Groningen; Groningen The Netherlands
| | | | | | - Mariusz Cichoń
- Institute of Environmental Sciences; Jagiellonian University; Cracow Poland
| | - David F. Clayton
- Department of Biological and Experimental Psychology; Queen Mary University of London; London UK
| | | | - Wolfgang Forstmeier
- Department of Behavioural Ecology and Evolutionary Genetics; Max Planck Institute for Ornithology; Seewiesen Germany
| | | | - Ian R. Hartley
- Lancaster Environment Centre; Lancaster University; Lancaster UK
| | - Susan D. Healy
- School of Biology; University of St Andrews; St Andrews, Fife UK
| | - Davina L. Hill
- Institute of Biodiversity, Animal Health and Comparative Medicine; College of Medical, Veterinary and Life Sciences; University of Glasgow; Glasgow UK
| | - Marie-Jeanne Holveck
- Institute of Biology; University of Leiden; Leiden The Netherlands
- Biodiversity Research Centre; Earth and Life Institute; Université Catholique de Louvain (UCL); Louvain-la-Neuve Belgium
| | - Laura L. Hurley
- Department of Biological Sciences; Macquarie University; Sydney NSW Australia
| | - Malika Ihle
- Department of Behavioural Ecology and Evolutionary Genetics; Max Planck Institute for Ornithology; Seewiesen Germany
| | - E. Tobias Krause
- Department of Animal Behaviour; Bielefeld University; Bielefeld Germany
- Institute of Animal Welfare and Animal Husbandry; Friedrich-Loeffler-Institut; Celle Germany
| | - Mark C. Mainwaring
- Department of Biological Sciences; Macquarie University; Sydney NSW Australia
- Lancaster Environment Centre; Lancaster University; Lancaster UK
| | - Valeria Marasco
- Institute of Biodiversity, Animal Health and Comparative Medicine; College of Medical, Veterinary and Life Sciences; University of Glasgow; Glasgow UK
| | - Mylene M. Mariette
- CNRS UMR 9197 NeuroPSI/ENES; Université de Lyon/Saint-Etienne; Saint-Etienne France
- School of Life and Environmental Sciences; Deakin University; Geelong VIC Australia
| | - Meghan S. Martin-Wintle
- Conservation and Research Department; PDXWildlife; Portland OR USA
- Applied Animal Ecology; Institute for Conservation Research; San Diego Zoo Global; Escondido CA USA
| | - Luke S. C. McCowan
- Department of Biological Sciences; Macquarie University; Sydney NSW Australia
| | - Maeve McMahon
- Department of Biological and Experimental Psychology; Queen Mary University of London; London UK
| | - Pat Monaghan
- Institute of Biodiversity, Animal Health and Comparative Medicine; College of Medical, Veterinary and Life Sciences; University of Glasgow; Glasgow UK
| | - Ruedi G. Nager
- Institute of Biodiversity, Animal Health and Comparative Medicine; College of Medical, Veterinary and Life Sciences; University of Glasgow; Glasgow UK
| | - Marc Naguib
- Behavioural Ecology Group; Department of Animal Sciences; Wageningen The Netherlands
| | - Andreas Nord
- Department of Biology; Lund University; Lund Sweden
- Department of Arctic and Marine Biology; University of Tromsø; Tromsø Norway
| | - Dominique A. Potvin
- Advanced Facility for Avian Research; University of Western Ontario; London ON Canada
| | - Nora H. Prior
- Zoology Department; University of British Columbia; Vancouver BC Canada
| | - Katharina Riebel
- Lancaster Environment Centre; Lancaster University; Lancaster UK
| | - Ana A. Romero-Haro
- Instituto de Investigación en Recursos Cinegéticos (IREC) - CSIC-UCLM-JCCM; Ciudad Real Spain
| | - Nick J. Royle
- Centre for Ecology and Conservation; University of Exeter; Penryn UK
| | - Joanna Rutkowska
- Institute of Environmental Sciences; Jagiellonian University; Cracow Poland
| | - Wiebke Schuett
- Zoological Institute; University of Hamburg; Hamburg Germany
| | - John P. Swaddle
- Biology Department; Institute for Integrative Bird Behaviour Studies; The College of William and Mary; Williamsburg VA USA
| | | | - Larissa Trompf
- Department of Biological Sciences; Macquarie University; Sydney NSW Australia
| | - Claire W. Varian-Ramos
- Biology Department; Institute for Integrative Bird Behaviour Studies; The College of William and Mary; Williamsburg VA USA
| | - Clémentine Vignal
- CNRS UMR 9197 NeuroPSI/ENES; Université de Lyon/Saint-Etienne; Saint-Etienne France
| | - Avelyne S. Villain
- CNRS UMR 9197 NeuroPSI/ENES; Université de Lyon/Saint-Etienne; Saint-Etienne France
| | - Tony D. Williams
- Department of Biological Sciences; Simon Fraser University; Burnaby BC Canada
| |
Collapse
|
13
|
MacDougall-Shackleton SA. Developmental stress and birdsong: integrating signal function and development. Curr Opin Behav Sci 2015. [DOI: 10.1016/j.cobeha.2015.10.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
|
14
|
Honarmand M, Riebel K, Naguib M. Nutrition and peer group composition in early adolescence: impacts on male song and female preference in zebra finches. Anim Behav 2015. [DOI: 10.1016/j.anbehav.2015.06.017] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
15
|
Farrell TM, Morgan A, MacDougall-Shackleton SA. Developmental stress impairs performance on an association task in male and female songbirds, but impairs auditory learning in females only. Anim Cogn 2015; 19:1-14. [DOI: 10.1007/s10071-015-0908-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2015] [Revised: 06/29/2015] [Accepted: 07/26/2015] [Indexed: 02/04/2023]
|
16
|
Potvin D, Crawford P, MacDougall-Shackleton S, MacDougall-Shackleton E. Song repertoire size, not territory location, predicts reproductive success and territory tenure in a migratory songbird. CAN J ZOOL 2015. [DOI: 10.1139/cjz-2015-0039] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
In territorial animals occupying environments that vary in quality over the landscape, high-quality individuals are predicted to monopolize high-quality territories. Thus, in many cases it may be difficult to disentangle the relative effects of individual quality from those of territory quality on long-term fitness. We used a 9-year field data set from a migratory population of Eastern Song Sparrows (Melospiza melodia melodia (A. Wilson, 1810)) to evaluate the relative contributions of male song quality (as measured by song repertoire size) and territory location to fitness components including annual reproductive success, overwinter return rates, and between-year territory tenure. Song repertoire size did not predict territory location, allowing us to evaluate territory location and song quality separately. Song repertoire size, but not territory location, predicted annual reproductive success. Moreover, males with larger repertoires moved smaller distances between subsequent breeding seasons, suggesting more successful territory tenure. There was no effect of either repertoire size or territory location on overwinter return. We conclude that intrinsic male phenotype, indicated by song repertoire size, is an important predictor of male fitness, independent of breeding-territory location in this migratory population, and that the value of specific territories may depend largely on previous experience.
Collapse
Affiliation(s)
- D.A. Potvin
- Advanced Facility for Avian Research, The University of Western Ontario, London, ON N6G 1G9, Canada; Department of Psychology, The University of Western Ontario, London, ON N6A 5C2, Canada
| | - P.W. Crawford
- Department of Geography, Queen’s University, Kingston, ON K7L 3N6, Canada
| | - S.A. MacDougall-Shackleton
- Advanced Facility for Avian Research, The University of Western Ontario, London, ON N6G 1G9, Canada; Department of Psychology, The University of Western Ontario, London, ON N6A 5C2, Canada
| | - E.A. MacDougall-Shackleton
- Advanced Facility for Avian Research, The University of Western Ontario, London, ON N6G 1G9, Canada, Department of Biology, The University of Western Ontario, London, ON N6A 5B7, Canada
| |
Collapse
|
17
|
Croston R, Branch C, Kozlovsky D, Dukas R, Pravosudov V. Heritability and the evolution of cognitive traits: Table 1. Behav Ecol 2015. [DOI: 10.1093/beheco/arv088] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
|
18
|
Templeton CN, Laland KN, Boogert NJ. Does song complexity correlate with problem-solving performance in flocks of zebra finches? Anim Behav 2014. [DOI: 10.1016/j.anbehav.2014.03.019] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
|