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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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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: 2.5] [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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Franklin KA, Nicoll MAC, Butler SJ, Norris K, Ratcliffe N, Nakagawa S, Gill JA. Individual repeatability of avian migration phenology: A systematic review and meta-analysis. J Anim Ecol 2022; 91:1416-1430. [PMID: 35385132 PMCID: PMC9546039 DOI: 10.1111/1365-2656.13697] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 03/17/2022] [Indexed: 11/28/2022]
Abstract
Changes in phenology and distribution are being widely reported for many migratory species in response to shifting environmental conditions. Understanding these changes and the situations in which they occur can be aided by understanding consistent individual differences in phenology and distribution and the situations in which consistency varies in strength or detectability. Studies tracking the same individuals over consecutive years are increasingly reporting migratory timings to be a repeatable trait, suggesting that flexible individual responses to environmental conditions may contribute little to population-level changes in phenology and distribution. However, how this varies across species and sexes, across the annual cycle and in relation to study (tracking method, study design) and/or ecosystem characteristics is not yet clear. Here, we take advantage of the growing number of publications in movement ecology to perform a phylogenetic multilevel meta-analysis of repeatability estimates for avian migratory timings to investigate these questions. Of 2,433 reviewed studies, 54 contained suitable information for meta-analysis, resulting in 177 effect sizes from 47 species. Individual repeatability of avian migratory timings averaged 0.414 (95% confidence interval: 0.3-0.5) across landbirds, waterbirds and seabirds, suggesting consistent individual differences in migratory timings is a common feature of migratory systems. Timing of departure from the non-breeding grounds was more repeatable than timings of arrival at or departure from breeding grounds, suggesting that conditions encountered on migratory journeys and outcome of breeding attempts can influence individual variation. Population-level shifts in phenology could arise through individual timings changing with environmental conditions and/or through shifts in the numbers of individuals with different timings. Our findings suggest that, in addition to identifying the conditions associated with individual variation in phenology, exploring the causes of between-individual variation will be key in predicting future rates and directions of changes in migratory timings. We therefore encourage researchers to report the within- and between- individual variance components underpinning the reported repeatability estimates to aid interpretation of migration behaviour. In addition, the lack of studies in the tropics means that levels of repeatability in less strongly seasonal environments are not yet clear.
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Affiliation(s)
- Kirsty A. Franklin
- School of Biological SciencesUniversity of East AngliaNorwichUK
- Institute of ZoologyZoological Society of LondonLondonUK
| | | | - Simon J. Butler
- School of Biological SciencesUniversity of East AngliaNorwichUK
| | | | | | - Shinichi Nakagawa
- Ecology & Evolution Research Centre, School of Biological, Earth and Environmental SciencesThe University of New South WalesSydneyNSWAustralia
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Population-specific association of Clock gene polymorphism with annual cycle timing in stonechats. Sci Rep 2022; 12:7947. [PMID: 35562382 PMCID: PMC9106710 DOI: 10.1038/s41598-022-11158-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 04/19/2022] [Indexed: 11/28/2022] Open
Abstract
Timing is essential for survival and reproduction of organisms across the tree of life. The core circadian clock gene Clk is involved in the regulation of annual timing events and shows highly conserved sequence homology across vertebrates except for one variable region of poly-glutamine repeats. Clk genotype varies in some species with latitude, seasonal timing and migration. However, findings are inconsistent, difficult to disentangle from environmental responses, and biased towards high latitudes. Here we combine field data with a common-garden experiment to study associations of Clk polymorphism with latitude, migration and annual-cycle timing within the stonechat species complex across its trans-equatorial distribution range. Our dataset includes 950 records from 717 individuals from nine populations with diverse migratory strategies. Gene diversity was lowest in resident African and Canary Island populations and increased with latitude, independently of migration distance. Repeat length and annual-cycle timing was linked in a population-specific way. Specifically, equatorial African stonechats showed delayed timing with longer repeat length for all annual-cycle stages. Our data suggest that at low latitudes with nearly constant photoperiod, Clk genotype might orchestrate a range of consistent, individual chronotypes. In contrast, the influence of Clk on annual-cycle timing at higher latitudes might be mediated by its interactions with genes involved in (circadian) photoperiodic pathways.
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