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Le Clercq LS, Bazzi G, Ferrer Obiol J, Cecere JG, Gianfranceschi L, Grobler JP, Kotzé A, Riutort León M, González-Solís J, Rubolini D, Liedvogel M, Dalton DL. Birds of a feather flock together: a dataset for Clock and Adcyap1 genes from migration genetics studies. Sci Data 2023; 10:787. [PMID: 37945571 PMCID: PMC10636037 DOI: 10.1038/s41597-023-02717-8] [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: 07/07/2023] [Accepted: 11/01/2023] [Indexed: 11/12/2023] Open
Abstract
Birds in seasonal habitats rely on intricate strategies for optimal timing of migrations. This is governed by environmental cues, including photoperiod. Genetic factors affecting intrinsic timekeeping mechanisms, such as circadian clock genes, have been explored, yielding inconsistent findings with potential lineage-dependency. To clarify this evidence, a systematic review and phylogenetic reanalysis was done. This descriptor outlines the methodology for sourcing, screening, and processing relevant literature and data. PRISMA guidelines were followed, ultimately including 66 studies, with 34 focusing on candidate genes at the genotype-phenotype interface. Studies were clustered using bibliographic coupling and citation network analysis, alongside scientometric analyses by publication year and location. Data was retrieved for allele data from databases, article supplements, and direct author communications. The dataset, version 1.0.2, encompasses data from 52 species, with 46 species for the Clock gene and 43 for the Adcyap1 gene. This dataset, featuring data from over 8000 birds, constitutes the most extensive cross-species collection for these candidate genes, used in studies investigating gene polymorphisms and seasonal bird migration.
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Affiliation(s)
- Louis-Stéphane Le Clercq
- South African National Biodiversity Institute, P.O. Box 754, Pretoria, 0001, South Africa.
- Department of Genetics, University of the Free State, P.O. Box 339, Bloemfontein, 9300, South Africa.
| | - Gaia Bazzi
- Area Avifauna Migratrice, Istituto Superiore per la Protezione e la Ricerca Ambientale, via Ca' Fornacetta 9, I-40064, Ozzano Emilia, BO, Italy
| | - Joan Ferrer Obiol
- Departament de Genètica, Universitat de Barcelona, Gran Via de les Corts Catalanes, 585, 08007, Barcelona, Spain
- Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Gran Via de les Corts Catalanes, 585, 08007, Barcelona, Spain
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, via Celoria 26, Milan, I-20133, Italy
| | - Jacopo G Cecere
- Area Avifauna Migratrice, Istituto Superiore per la Protezione e la Ricerca Ambientale, via Ca' Fornacetta 9, I-40064, Ozzano Emilia, BO, Italy
| | - Luca Gianfranceschi
- Dipartimento di Bioscienze, Università degli Studi di Milano, via Celoria 26, Milan, I-20133, Italy
| | - J Paul Grobler
- Department of Genetics, University of the Free State, P.O. Box 339, Bloemfontein, 9300, South Africa
| | - Antoinette Kotzé
- South African National Biodiversity Institute, P.O. Box 754, Pretoria, 0001, South Africa
- Department of Genetics, University of the Free State, P.O. Box 339, Bloemfontein, 9300, South Africa
| | - Marta Riutort León
- Departament de Genètica, Universitat de Barcelona, Gran Via de les Corts Catalanes, 585, 08007, Barcelona, Spain
- Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Gran Via de les Corts Catalanes, 585, 08007, Barcelona, Spain
| | - Jacob González-Solís
- Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Gran Via de les Corts Catalanes, 585, 08007, Barcelona, Spain
- Departament de Biologia Evolutiva, Universitat de Barcelona, Gran Via de les Corts Catalanes, 585, 08007, Barcelona, Spain
| | - Diego Rubolini
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, via Celoria 26, Milan, I-20133, Italy
- Istituto di Ricerca sulle Acque, IRSA-CNR, Via del Mulino 19, I-20861, Brugherio, (MB), Italy
| | - Miriam Liedvogel
- Max Planck Research Group Behavioural Genomics, Max Planck Institute for Evolutionary Biology, 24306, Plön, Germany
- Institute of Avian Research, An der Vogelwarte 21, 26386, Wilhelmshaven, Germany
| | - Desiré Lee Dalton
- School of Health and Life Sciences, Teesside University, Middlesbrough, TS1 3BA, UK
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2
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Estandía A, Sendell-Price AT, Oatley G, Robertson F, Potvin D, Massaro M, Robertson BC, Clegg SM. Candidate gene polymorphisms are linked to dispersive and migratory behaviour: Searching for a mechanism behind the "paradox of the great speciators". J Evol Biol 2023; 36:1503-1516. [PMID: 37750610 DOI: 10.1111/jeb.14222] [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: 01/23/2023] [Accepted: 07/22/2023] [Indexed: 09/27/2023]
Abstract
The "paradox of the great speciators" has puzzled evolutionary biologists for over half a century. A great speciator requires excellent dispersal propensity to explain its occurrence on multiple islands, but reduced dispersal ability to explain its high number of subspecies. A rapid reduction in dispersal ability is often invoked to solve this apparent paradox, but a proximate mechanism has not been identified yet. Here, we explored the role of six genes linked to migration and animal personality differences (CREB1, CLOCK, ADCYAP1, NPAS2, DRD4, and SERT) in 20 South Pacific populations of silvereye (Zosterops lateralis) that range from highly sedentary to partially migratory, to determine if genetic variation is associated with dispersal propensity and migration. We detected genetic associations in three of the six genes: (i) in a partial migrant population, migrant individuals had longer microsatellite alleles at the CLOCK gene compared to resident individuals from the same population; (ii) CREB1 displayed longer average microsatellite allele lengths in recently colonized island populations (<200 years), compared to evolutionarily older populations. Bayesian broken stick regression models supported a reduction in CREB1 length with time since colonization; and (iii) like CREB1, DRD4 showed differences in polymorphisms between recent and old colonizations but a larger sample is needed to confirm. ADCYAP1, SERT, and NPAS2 were variable but that variation was not associated with dispersal propensity. The association of genetic variants at three genes with migration and dispersal ability in silvereyes provides the impetus for further exploration of genetic mechanisms underlying dispersal shifts, and the prospect of resolving a long-running evolutionary paradox through a genetic lens.
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Affiliation(s)
- Andrea Estandía
- Edward Grey Institute of Field Ornithology, Department of Biology, University of Oxford, Oxford, UK
| | - Ashley T Sendell-Price
- Edward Grey Institute of Field Ornithology, Department of Biology, University of Oxford, Oxford, UK
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Graeme Oatley
- Department of Zoology, University of Otago, Dunedin, New Zealand
| | - Fiona Robertson
- Department of Zoology, University of Otago, Dunedin, New Zealand
| | - Dominique Potvin
- School of Science, Technology and Engineering, University of the Sunshine Coast, Petrie, Queensland, Australia
| | - Melanie Massaro
- Gulbali Institute and School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Albury, New South Wales, Australia
| | | | - Sonya M Clegg
- Edward Grey Institute of Field Ornithology, Department of Biology, University of Oxford, Oxford, UK
- Centre for Planetary Health and Food Security, Griffith University, Brisbane, Queensland, Australia
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3
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Le Clercq LS, Bazzi G, Cecere JG, Gianfranceschi L, Grobler JP, Kotzé A, Rubolini D, Liedvogel M, Dalton DL. Time trees and clock genes: a systematic review and comparative analysis of contemporary avian migration genetics. Biol Rev Camb Philos Soc 2023; 98:1051-1080. [PMID: 36879518 DOI: 10.1111/brv.12943] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 02/16/2023] [Accepted: 02/20/2023] [Indexed: 03/08/2023]
Abstract
Timing is a crucial aspect for survival and reproduction in seasonal environments leading to carefully scheduled annual programs of migration in many species. But what are the exact mechanisms through which birds (class: Aves) can keep track of time, anticipate seasonal changes, and adapt their behaviour? One proposed mechanism regulating annual behaviour is the circadian clock, controlled by a highly conserved set of genes, collectively called 'clock genes' which are well established in controlling the daily rhythmicity of physiology and behaviour. Due to diverse migration patterns observed within and among species, in a seemingly endogenously programmed manner, the field of migration genetics has sought and tested several candidate genes within the clock circuitry that may underlie the observed differences in breeding and migration behaviour. Among others, length polymorphisms within genes such as Clock and Adcyap1 have been hypothesised to play a putative role, although association and fitness studies in various species have yielded mixed results. To contextualise the existing body of data, here we conducted a systematic review of all published studies relating polymorphisms in clock genes to seasonality in a phylogenetically and taxonomically informed manner. This was complemented by a standardised comparative re-analysis of candidate gene polymorphisms of 76 bird species, of which 58 are migrants and 18 are residents, along with population genetics analyses for 40 species with available allele data. We tested genetic diversity estimates, used Mantel tests for spatial genetic analyses, and evaluated relationships between candidate gene allele length and population averages for geographic range (breeding- and non-breeding latitude), migration distance, timing of migration, taxonomic relationships, and divergence times. Our combined analysis provided evidence (i) of a putative association between Clock gene variation and autumn migration as well as a putative association between Adcyap1 gene variation and spring migration in migratory species; (ii) that these candidate genes are not diagnostic markers to distinguish migratory from sedentary birds; and (iii) of correlated variability in both genes with divergence time, potentially reflecting ancestrally inherited genotypes rather than contemporary changes driven by selection. These findings highlight a tentative association between these candidate genes and migration attributes as well as genetic constraints on evolutionary adaptation.
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Affiliation(s)
- Louis-Stéphane Le Clercq
- South African National Biodiversity Institute, P.O. Box 754, Pretoria, 0001, South Africa
- Department of Genetics, University of the Free State, PO Box 339, Bloemfontein, 9300, South Africa
| | - Gaia Bazzi
- Area Avifauna Migratrice, Istituto Superiore per la Protezione e la Ricerca Ambientale, via Ca' Fornacetta 9, Ozzano Emilia (BO), I-40064, Italy
| | - Jacopo G Cecere
- Area Avifauna Migratrice, Istituto Superiore per la Protezione e la Ricerca Ambientale, via Ca' Fornacetta 9, Ozzano Emilia (BO), I-40064, Italy
| | - Luca Gianfranceschi
- Dipartimento di Bioscienze, Università degli Studi di Milano, via Celoria 26, Milan, I-20133, Italy
| | - Johannes Paul Grobler
- Department of Genetics, University of the Free State, PO Box 339, Bloemfontein, 9300, South Africa
| | - Antoinette Kotzé
- South African National Biodiversity Institute, P.O. Box 754, Pretoria, 0001, South Africa
- Department of Genetics, University of the Free State, PO Box 339, Bloemfontein, 9300, South Africa
| | - Diego Rubolini
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, via Celoria 26, Milan, I-20133, Italy
- Istituto di Ricerca sulle Acque, IRSA-CNR, Via del Mulino 19, Brugherio (MB), I-20861, Italy
| | - Miriam Liedvogel
- Max Planck Research Group Behavioral Genomics, Max Planck Institute for Evolutionary Biology, Plön, 24306, Germany
- Institute of Avian Research, An der Vogelwarte 21, Wilhelmshaven, 26386, Germany
| | - Desiré Lee Dalton
- School of Health and Life Sciences, Teesside University, Middlesbrough, TS1 3BA, UK
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4
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de Greef E, Suh A, Thorstensen MJ, Delmore KE, Fraser KC. Genomic architecture of migration timing in a long-distance migratory songbird. Sci Rep 2023; 13:2437. [PMID: 36765096 PMCID: PMC9918537 DOI: 10.1038/s41598-023-29470-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 02/06/2023] [Indexed: 02/12/2023] Open
Abstract
The impact of climate change on spring phenology poses risks to migratory birds, as migration timing is controlled predominantly by endogenous mechanisms. Despite recent advances in our understanding of the underlying genetic basis of migration timing, the ways that migration timing phenotypes in wild individuals may map to specific genomic regions requires further investigation. We examined the genetic architecture of migration timing in a long-distance migratory songbird (purple martin, Progne subis subis) by integrating genomic data with an extensive dataset of direct migratory tracks. A moderate to large amount of variance in spring migration arrival timing was explained by genomics (proportion of phenotypic variation explained by genomics = 0.74; polygenic score R2 = 0.24). On chromosome 1, a region that was differentiated between migration timing phenotypes contained genes that could facilitate nocturnal flights and act as epigenetic modifiers. Overall, these results advance our understanding of the genomic underpinnings of migration timing.
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Affiliation(s)
- Evelien de Greef
- Department of Biological Sciences, University of Manitoba, Winnipeg, R3T 2N2, Canada.
| | - Alexander Suh
- Department of Organismal Biology, Uppsala University, 752 36, Uppsala, Sweden
- School of Biological Sciences, University of East Anglia, Norwich, NR4 7TU, UK
| | - Matt J Thorstensen
- Department of Biological Sciences, University of Manitoba, Winnipeg, R3T 2N2, Canada
| | - Kira E Delmore
- Department of Biology, Texas A&M University, College Station, TX, 77843, USA
| | - Kevin C Fraser
- Department of Biological Sciences, University of Manitoba, Winnipeg, R3T 2N2, Canada
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5
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de Almeida Miranda D, Araripe J, de Morais Magalhães NG, de Siqueira LS, de Abreu CC, Pereira PDC, Henrique EP, da Silva Chira PAC, de Melo MAD, do Rêgo PS, Diniz DG, Sherry DF, Diniz CWP, Guerreiro-Diniz C. Shorebirds' Longer Migratory Distances Are Associated With Larger ADCYAP1 Microsatellites and Greater Morphological Complexity of Hippocampal Astrocytes. Front Psychol 2022; 12:784372. [PMID: 35185684 PMCID: PMC8855117 DOI: 10.3389/fpsyg.2021.784372] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 12/29/2021] [Indexed: 12/12/2022] Open
Abstract
For the epic journey of autumn migration, long-distance migratory birds use innate and learned information and follow strict schedules imposed by genetic and epigenetic mechanisms, the details of which remain largely unknown. In addition, bird migration requires integrated action of different multisensory systems for learning and memory, and the hippocampus appears to be the integration center for this task. In previous studies we found that contrasting long-distance migratory flights differentially affected the morphological complexity of two types of hippocampus astrocytes. Recently, a significant association was found between the latitude of the reproductive site and the size of the ADCYAP1 allele in long distance migratory birds. We tested for correlations between astrocyte morphological complexity, migratory distances, and size of the ADCYAP1 allele in three long-distance migrant species of shorebird and one non-migrant. Significant differences among species were found in the number and morphological complexity of the astrocytes, as well as in the size of the microsatellites of the ADCYAP1 gene. We found significant associations between the size of the ADCYAP1 microsatellites, the migratory distances, and the degree of morphological complexity of the astrocytes. We suggest that associations between astrocyte number and morphological complexity, ADCYAP1 microsatellite size, and migratory behavior may be part of the adaptive response to the migratory process of shorebirds.
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Affiliation(s)
- Diego de Almeida Miranda
- Instituto Federal de Educação Ciência e Tecnologia do Pará, Campus Bragança, Laboratório de Biologia Molecular e Neuroecologia, Bragança, Brazil.,Laboratório de Genética e Conservação, Instituto de Estudos Costeiros (IECOS), Universidade Federal do Pará, Bragança, Brazil
| | - Juliana Araripe
- Laboratório de Genética e Conservação, Instituto de Estudos Costeiros (IECOS), Universidade Federal do Pará, Bragança, Brazil
| | - Nara G de Morais Magalhães
- Instituto Federal de Educação Ciência e Tecnologia do Pará, Campus Bragança, Laboratório de Biologia Molecular e Neuroecologia, Bragança, Brazil
| | - Lucas Silva de Siqueira
- Instituto Federal de Educação Ciência e Tecnologia do Pará, Campus Bragança, Laboratório de Biologia Molecular e Neuroecologia, Bragança, Brazil
| | - Cintya Castro de Abreu
- Instituto Federal de Educação Ciência e Tecnologia do Pará, Campus Bragança, Laboratório de Biologia Molecular e Neuroecologia, Bragança, Brazil
| | - Patrick Douglas Corrêa Pereira
- Instituto Federal de Educação Ciência e Tecnologia do Pará, Campus Bragança, Laboratório de Biologia Molecular e Neuroecologia, Bragança, Brazil
| | - Ediely Pereira Henrique
- Instituto Federal de Educação Ciência e Tecnologia do Pará, Campus Bragança, Laboratório de Biologia Molecular e Neuroecologia, Bragança, Brazil
| | - Pedro Arthur Campos da Silva Chira
- Instituto Federal de Educação Ciência e Tecnologia do Pará, Campus Bragança, Laboratório de Biologia Molecular e Neuroecologia, Bragança, Brazil
| | - Mauro A D de Melo
- Instituto Federal de Educação Ciência e Tecnologia do Pará, Campus Bragança, Laboratório de Biologia Molecular e Neuroecologia, Bragança, Brazil
| | - Péricles Sena do Rêgo
- Laboratório de Genética e Conservação, Instituto de Estudos Costeiros (IECOS), Universidade Federal do Pará, Bragança, Brazil
| | - Daniel Guerreiro Diniz
- Laboratório de Investigações em Neurodegeneração e Infecção, Instituto de Ciências Biológicas, Universidade Federal do Pará, Hospital Universitário João de Barros Barreto, Belém, Brazil.,Laboratório de Microscopia Eletrônica, Instituto Evandro Chagas, Belém, Brazil
| | - David Francis Sherry
- Department of Psychology, Advanced Facility for Avian Research, University of Western Ontario, London, ON, Canada
| | - Cristovam W P Diniz
- Laboratório de Investigações em Neurodegeneração e Infecção, Instituto de Ciências Biológicas, Universidade Federal do Pará, Hospital Universitário João de Barros Barreto, Belém, Brazil
| | - Cristovam Guerreiro-Diniz
- Instituto Federal de Educação Ciência e Tecnologia do Pará, Campus Bragança, Laboratório de Biologia Molecular e Neuroecologia, Bragança, Brazil
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Sanchez-Donoso I, Ravagni S, Rodríguez-Teijeiro JD, Christmas MJ, Huang Y, Maldonado-Linares A, Puigcerver M, Jiménez-Blasco I, Andrade P, Gonçalves D, Friis G, Roig I, Webster MT, Leonard JA, Vilà C. Massive genome inversion drives coexistence of divergent morphs in common quails. Curr Biol 2021; 32:462-469.e6. [PMID: 34847353 DOI: 10.1016/j.cub.2021.11.019] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 08/25/2021] [Accepted: 11/08/2021] [Indexed: 12/31/2022]
Abstract
The presence of population-specific phenotypes often reflects local adaptation or barriers to gene flow. The co-occurrence of phenotypic polymorphisms that are restricted within the range of a highly mobile species is more difficult to explain. An example of such polymorphisms is in the common quail Coturnix coturnix, a small migratory bird that moves widely during the breeding season in search of new mating opportunities, following ephemeral habitats,1,2 and whose females may lay successive clutches at different locations while migrating.3 In spite of this vagility, previous studies reported a higher frequency of heavier males with darker throat coloration in the southwest of the distribution (I. Jiménez-Blasco et al., 2015, Int. Union Game Biol., conference). We used population genomics and cytogenetics to explore the basis of this polymorphism and discovered a large inversion in the genome of the common quail. This inversion extends 115 Mbp in length and encompasses more than 7,000 genes (about 12% of the genome), producing two very different forms. Birds with the inversion are larger, have darker throat coloration and rounder wings, are inferred to have poorer flight efficiency, and are geographically restricted despite the high mobility of the species. Stable isotope analyses confirmed that birds carrying the inversion have shorter migratory distances or do not migrate. However, we found no evidence of pre- or post-zygotic isolation, indicating the two forms commonly interbreed and that the polymorphism remains locally restricted because of the effect on behavior. This illustrates a genomic mechanism underlying maintenance of geographically structured polymorphisms despite interbreeding with a lineage with high mobility.
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Affiliation(s)
- Ines Sanchez-Donoso
- Conservation and Evolutionary Genetics Group, Estación Biológica de Doñana (EBD-CSIC), Seville 41092, Spain.
| | - Sara Ravagni
- Conservation and Evolutionary Genetics Group, Estación Biológica de Doñana (EBD-CSIC), Seville 41092, Spain
| | - J Domingo Rodríguez-Teijeiro
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Universitat de Barcelona, Barcelona 08028, Spain
| | - Matthew J Christmas
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala 75123, Sweden
| | - Yan Huang
- Genome Integrity and Instability Group, Institut de Biotecnologia i Biomedicina, Departament de Biologia Cellular, Fisiologia i Immunologia, Universitat Autònoma de Barcelona, Cerdanyola del Vallès 08193, Spain
| | - Andros Maldonado-Linares
- Genome Integrity and Instability Group, Institut de Biotecnologia i Biomedicina, Departament de Biologia Cellular, Fisiologia i Immunologia, Universitat Autònoma de Barcelona, Cerdanyola del Vallès 08193, Spain
| | - Manel Puigcerver
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Universitat de Barcelona, Barcelona 08028, Spain
| | - Irene Jiménez-Blasco
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Universitat de Barcelona, Barcelona 08028, Spain
| | - Pedro Andrade
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão 4485-661, Portugal; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
| | - David Gonçalves
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão 4485-661, Portugal; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal; Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto 4169-007, Portugal
| | - Guillermo Friis
- Center for Genomics and Systems Biology, New York University-Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Ignasi Roig
- Genome Integrity and Instability Group, Institut de Biotecnologia i Biomedicina, Departament de Biologia Cellular, Fisiologia i Immunologia, Universitat Autònoma de Barcelona, Cerdanyola del Vallès 08193, Spain
| | - Matthew T Webster
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala 75123, Sweden
| | - Jennifer A Leonard
- Conservation and Evolutionary Genetics Group, Estación Biológica de Doñana (EBD-CSIC), Seville 41092, Spain
| | - Carles Vilà
- Conservation and Evolutionary Genetics Group, Estación Biológica de Doñana (EBD-CSIC), Seville 41092, Spain.
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7
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Goossens S, Wybouw N, Van Leeuwen T, Bonte D. The physiology of movement. MOVEMENT ECOLOGY 2020; 8:5. [PMID: 32042434 PMCID: PMC7001223 DOI: 10.1186/s40462-020-0192-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 01/08/2020] [Indexed: 05/05/2023]
Abstract
Movement, from foraging to migration, is known to be under the influence of the environment. The translation of environmental cues to individual movement decision making is determined by an individual's internal state and anticipated to balance costs and benefits. General body condition, metabolic and hormonal physiology mechanistically underpin this internal state. These physiological determinants are tightly, and often genetically linked with each other and hence central to a mechanistic understanding of movement. We here synthesise the available evidence of the physiological drivers and signatures of movement and review (1) how physiological state as measured in its most coarse way by body condition correlates with movement decisions during foraging, migration and dispersal, (2) how hormonal changes underlie changes in these movement strategies and (3) how these can be linked to molecular pathways. We reveale that a high body condition facilitates the efficiency of routine foraging, dispersal and migration. Dispersal decision making is, however, in some cases stimulated by a decreased individual condition. Many of the biotic and abiotic stressors that induce movement initiate a physiological cascade in vertebrates through the production of stress hormones. Movement is therefore associated with hormone levels in vertebrates but also insects, often in interaction with factors related to body or social condition. The underlying molecular and physiological mechanisms are currently studied in few model species, and show -in congruence with our insights on the role of body condition- a central role of energy metabolism during glycolysis, and the coupling with timing processes during migration. Molecular insights into the physiological basis of movement remain, however, highly refractory. We finalise this review with a critical reflection on the importance of these physiological feedbacks for a better mechanistic understanding of movement and its effects on ecological dynamics at all levels of biological organization.
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Affiliation(s)
- Steven Goossens
- Department of Biology, Ghent University, K.L. Ledeganckstraat 35, 9000 Ghent, Belgium
| | - Nicky Wybouw
- Laboratory of Agrozoology, Department of Plants and Crops, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
| | - Thomas Van Leeuwen
- Laboratory of Agrozoology, Department of Plants and Crops, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
| | - Dries Bonte
- Department of Biology, Ghent University, K.L. Ledeganckstraat 35, 9000 Ghent, Belgium
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8
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Ralston J, Lorenc L, Montes M, DeLuca WV, Kirchman JJ, Woodworth BK, Mackenzie SA, Newman A, Cooke HA, Freeman NE, Sutton AO, Tauzer L, Norris DR. Length polymorphisms at two candidate genes explain variation of migratory behaviors in blackpoll warblers ( Setophaga striata). Ecol Evol 2019; 9:8840-8855. [PMID: 31410284 PMCID: PMC6686290 DOI: 10.1002/ece3.5436] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 05/30/2019] [Accepted: 06/15/2019] [Indexed: 12/12/2022] Open
Abstract
Migratory behaviors such as the timing and duration of migration are genetically inherited and can be under strong natural selection, yet we still know very little about the specific genes or molecular pathways that control these behaviors. Studies in candidate genes Clock and Adcyap1 have revealed that both of these loci can be significantly correlated with migratory behaviors in birds, though observed relationships appear to vary across species. We investigated geographic genetic structure of Clock and Adcyap1 in four populations of blackpoll warblers (Setophaga striata), a Neotropical-Nearctic migrant that exhibits geographic variation in migratory timing and duration across its boreal breeding distribution. Further, we used data on migratory timing and duration, obtained from light-level geolocator trackers to investigate candidate genotype-phenotype relationships at the individual level. While we found no geographic structure in either candidate gene, we did find evidence that candidate gene lengths are correlated with five of the six migratory traits. Maximum Clock allele length was significantly and negatively associated with spring arrival date. Minimum Adcyap1 allele length was significantly and negatively associated with spring departure date and positively associated with fall arrival date at the wintering grounds. Additionally, we found a significant interaction between Clock and Adcyap1 allele lengths on both spring and fall migratory duration. Adcyap1 heterozygotes also had significantly shorter migration duration in both spring and fall compared to homozygotes. Our results support the growing body of evidence that Clock and Adcyap1 allele lengths are correlated with migratory behaviors in birds.
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Affiliation(s)
- Joel Ralston
- Department of BiologySaint Mary's CollegeNotre DameINUSA
| | - Lydia Lorenc
- Department of BiologySaint Mary's CollegeNotre DameINUSA
| | - Melissa Montes
- Department of BiologySaint Mary's CollegeNotre DameINUSA
| | - William V. DeLuca
- Department of Environmental ConservationUniversity of MassachusettsAmherstMAUSA
| | | | - Bradley K. Woodworth
- Department of Integrative BiologyUniversity of GuelphGuelphONCanada
- School of Biological SciencesThe University of QueenslandBrisbaneQueenslandAustralia
| | | | - Amy Newman
- Department of Integrative BiologyUniversity of GuelphGuelphONCanada
| | | | | | - Alex O. Sutton
- Department of Integrative BiologyUniversity of GuelphGuelphONCanada
| | - Lila Tauzer
- Wildlife Conservation Society CanadaWhitehorseYTCanada
| | - D. Ryan Norris
- Department of Integrative BiologyUniversity of GuelphGuelphONCanada
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9
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Romano A, Possenti CD, Caprioli M, Gatti E, Gianfranceschi L, Rubolini D, Saino N, Parolini M. Circadian genes polymorphism and breeding phenology in a resident bird, the yellow‐legged gull. J Zool (1987) 2017. [DOI: 10.1111/jzo.12501] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Affiliation(s)
- A. Romano
- Department of Environmental Science and Policy University of Milan Milan Italy
| | - C. D. Possenti
- Department of Environmental Science and Policy University of Milan Milan Italy
| | - M. Caprioli
- Department of Environmental Science and Policy University of Milan Milan Italy
| | - E. Gatti
- Department of Biosciences University of Milan Milan Italy
| | | | - D. Rubolini
- Department of Environmental Science and Policy University of Milan Milan Italy
| | - N. Saino
- Department of Environmental Science and Policy University of Milan Milan Italy
| | - M. Parolini
- Department of Environmental Science and Policy University of Milan Milan Italy
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10
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Lugo Ramos JS, Delmore KE, Liedvogel M. Candidate genes for migration do not distinguish migratory and non-migratory birds. J Comp Physiol A Neuroethol Sens Neural Behav Physiol 2017; 203:383-397. [PMID: 28585043 PMCID: PMC5522501 DOI: 10.1007/s00359-017-1184-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 05/12/2017] [Accepted: 05/15/2017] [Indexed: 10/27/2022]
Abstract
Migratory traits in birds have been shown to have a strong heritable component and several candidate genes have been suggested to control these migratory traits. To investigate if the genetic makeup of one or a set of these candidate genes can be used to identify a general pattern between migratory and non-migratory birds, we extracted genomic sequence data for 25 hypothesised candidate genes for migration from 70 available genomes across all orders of Aves and characterised sequence divergence between migratory and non-migratory phenotypes. When examining each gene separately across all species, we did not identify any genetic variants in candidate genes that distinguished migrants from non-migrants; any resulting pattern was driven by the phylogenetic signal. This was true for each gene analysed independently, but also for concatenated sequence alignments of all candidate genes combined. We also attempted to distinguish between migrant and non-migrants using structural features at four candidate genes that have previously been reported to show associated with migratory behaviour but did not pick up a signal for migratory phenotype here either. Finally, a screen for dN/dS ratio across all focal candidate genes to probe for putative features of selection did not uncover a pattern, though this might not be expected given the broad phylogenetic scale used here. Our study demonstrates the potential of public genomic data to test for general patterns of migratory gene candidates in a cross-species comparative context, and raise questions on the applicability of candidate gene approaches in a macro-evolutionary context to understand the genetic architecture of migratory behaviour.
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Affiliation(s)
- Juan S Lugo Ramos
- Max Planck Institute for Evolutionary Biology, AG Behavioural Genomics, August-Thienemann-Str. 2, 24306, Plön, Germany
| | - Kira E Delmore
- Max Planck Institute for Evolutionary Biology, AG Behavioural Genomics, August-Thienemann-Str. 2, 24306, Plön, Germany
| | - Miriam Liedvogel
- Max Planck Institute for Evolutionary Biology, AG Behavioural Genomics, August-Thienemann-Str. 2, 24306, Plön, Germany.
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11
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Johnston RA, Paxton KL, Moore FR, Wayne RK, Smith TB. Seasonal gene expression in a migratory songbird. Mol Ecol 2016; 25:5680-5691. [DOI: 10.1111/mec.13879] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Revised: 09/17/2016] [Accepted: 09/21/2016] [Indexed: 12/23/2022]
Affiliation(s)
- Rachel A. Johnston
- Department of Ecology and Evolutionary Biology University of California, Los Angeles 610 Charles E Young Dr. South Rm. 4162 Los Angeles CA 90095 USA
| | - Kristina L. Paxton
- Department of Biological Sciences University of Southern Mississippi Hattiesburg MS 39406 USA
- Department of Biology University of Hawaii Hilo Hilo HI 96720 USA
| | - Frank R. Moore
- Department of Biological Sciences University of Southern Mississippi Hattiesburg MS 39406 USA
| | - Robert K. Wayne
- Department of Ecology and Evolutionary Biology University of California, Los Angeles 610 Charles E Young Dr. South Rm. 4162 Los Angeles CA 90095 USA
| | - Thomas B. Smith
- Department of Ecology and Evolutionary Biology University of California, Los Angeles 610 Charles E Young Dr. South Rm. 4162 Los Angeles CA 90095 USA
- Center for Tropical Research Institute of the Environment and Sustainability University of California, Los Angeles Los Angeles CA 90095 USA
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12
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Bazzi G, Galimberti A, Hays QR, Bruni I, Cecere JG, Gianfranceschi L, Hobson KA, Morbey YE, Saino N, Guglielmo CG, Rubolini D. Adcyap1 polymorphism covaries with breeding latitude in a Nearctic migratory songbird, the Wilson's warbler (Cardellina pusilla). Ecol Evol 2016; 6:3226-39. [PMID: 27252831 PMCID: PMC4870208 DOI: 10.1002/ece3.2053] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Accepted: 02/12/2016] [Indexed: 12/14/2022] Open
Abstract
Understanding the genetic background of complex behavioral traits, showing multigenic control and extensive environmental effects, is a challenging task. Among such traits, migration is known to show a large additive genetic component. Yet, the identification of specific genes or gene regions explaining phenotypic variance in migratory behavior has received less attention. Migration ultimately depends on seasonal cycles, and polymorphism at phenological candidate genes may underlie variation in timing of migration or other aspects of migratory behavior. In this study of a Nearctic–Neotropical migratory songbird, the Wilson's warbler (Cardellina pusilla), we investigated the association between polymorphism at two phenological candidate genes, Clock and Adcyap1, and two aspects of the migratory phenotype, timing of spring migration through a stopover site and inferred latitude of the breeding destination. The breeding destination of migrating individuals was identified using feather deuterium ratio (δ2H), which reliably reflects breeding latitude throughout the species' western breeding range. Ninety‐eight percent of the individuals were homozygous at Clock, and the rare heterozygotes did not deviate from homozygous migration phenology. Adcyap1 was highly polymorphic, and allele size was not significantly associated with migration date. However, Adcyap1 allele size significantly positively predicted the inferred breeding latitude of males but not of females. Moreover, we found a strong positive association between inferred breeding latitude and Adcyap1 allele size in long‐distance migrating birds from the northern sector of the breeding range (western Canada), while this was not the case in short‐distance migrating birds from the southern sector of the breeding range (coastal California). Our findings support previous evidence for a role of Adcyap1 in shaping the avian migratory phenotype, while highlighting that patterns of phenological candidate gene–phenotype associations may be complex, significantly varying between geographically distinct populations and even between the sexes.
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Affiliation(s)
- Gaia Bazzi
- Dipartimento di Bioscienze Università degli Studi di Milano via Celoria 26 I-20133 Milan Italy
| | - Andrea Galimberti
- ZooPlantLab Dipartimento di Biotecnologie e Bioscienze Università degli Studi di Milano-Bicocca Piazza della Scienza 2 I-20126 Milan Italy
| | - Quentin R Hays
- Department of Biology Advanced Facility for Avian Research University of Western Ontario London Ontario N6A 5B7 Canada; Natural Resources Department Eastern New Mexico University - Ruidoso Ruidoso New Mexico 88345
| | - Ilaria Bruni
- ZooPlantLab Dipartimento di Biotecnologie e Bioscienze Università degli Studi di Milano-Bicocca Piazza della Scienza 2 I-20126 Milan Italy
| | - Jacopo G Cecere
- ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale Via Cà Fornacetta 9 I-40064 Ozzano dell'Emilia (BO) Italy
| | - Luca Gianfranceschi
- Dipartimento di Bioscienze Università degli Studi di Milano via Celoria 26 I-20133 Milan Italy
| | - Keith A Hobson
- Department of Biology Advanced Facility for Avian Research University of Western Ontario London Ontario N6A 5B7 Canada; Environment Canada 11 Innovation Boulevard Saskatoon Saskatchewan S7N 3H5 Canada
| | - Yolanda E Morbey
- Department of Biology Advanced Facility for Avian Research University of Western Ontario London Ontario N6A 5B7 Canada
| | - Nicola Saino
- Dipartimento di Bioscienze Università degli Studi di Milano via Celoria 26 I-20133 Milan Italy
| | - Christopher G Guglielmo
- Department of Biology Advanced Facility for Avian Research University of Western Ontario London Ontario N6A 5B7 Canada
| | - Diego Rubolini
- Dipartimento di Bioscienze Università degli Studi di Milano via Celoria 26 I-20133 Milan Italy
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