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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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1 South African National Biodiversity Institute, Pretoria, South Africa (GRID:grid.452736.1) (ISNI:0000 0001 2166 5237); University of the Free State, Department of Genetics, Bloemfontein, South Africa (GRID:grid.412219.d) (ISNI:0000 0001 2284 638X)
2 Area Avifauna Migratrice, Istituto Superiore per la Protezione e la Ricerca Ambientale, Ozzano Emilia, Italy (GRID:grid.423782.8) (ISNI:0000 0001 2205 5473)
3 Universitat de Barcelona, Departament de Genètica, Barcelona, Spain (GRID:grid.5841.8) (ISNI:0000 0004 1937 0247); Universitat de Barcelona, Institut de Recerca de la Biodiversitat (IRBio), Barcelona, Spain (GRID:grid.5841.8) (ISNI:0000 0004 1937 0247); Università degli Studi di Milano, Dipartimento di Scienze e Politiche Ambientali, Milan, Italy (GRID:grid.4708.b) (ISNI:0000 0004 1757 2822)
4 Università degli Studi di Milano, Dipartimento di Bioscienze, Milan, Italy (GRID:grid.4708.b) (ISNI:0000 0004 1757 2822)
5 University of the Free State, Department of Genetics, Bloemfontein, South Africa (GRID:grid.412219.d) (ISNI:0000 0001 2284 638X)
6 Universitat de Barcelona, Departament de Genètica, Barcelona, Spain (GRID:grid.5841.8) (ISNI:0000 0004 1937 0247); Universitat de Barcelona, Institut de Recerca de la Biodiversitat (IRBio), Barcelona, Spain (GRID:grid.5841.8) (ISNI:0000 0004 1937 0247)
7 Universitat de Barcelona, Institut de Recerca de la Biodiversitat (IRBio), Barcelona, Spain (GRID:grid.5841.8) (ISNI:0000 0004 1937 0247); Universitat de Barcelona, Departament de Biologia Evolutiva, Barcelona, Spain (GRID:grid.5841.8) (ISNI:0000 0004 1937 0247)
8 Università degli Studi di Milano, Dipartimento di Scienze e Politiche Ambientali, Milan, Italy (GRID:grid.4708.b) (ISNI:0000 0004 1757 2822); Istituto di Ricerca sulle Acque, IRSA-CNR, Brugherio, Italy (GRID:grid.435629.f) (ISNI:0000 0004 1755 3971)
9 Max Planck Institute for Evolutionary Biology, Max Planck Research Group Behavioural Genomics, Plön, Germany (GRID:grid.419520.b) (ISNI:0000 0001 2222 4708); Institute of Avian Research, Wilhelmshaven, Germany (GRID:grid.461686.b) (ISNI:0000 0001 2184 5975)
10 Teesside University, School of Health and Life Sciences, Middlesbrough, UK (GRID:grid.26597.3f) (ISNI:0000 0001 2325 1783)