Data from: Animal tracking meets migration genomics: transcriptomic analysis of a partially migratory bird species

dc.contributor.authorFranchini, Paolo
dc.contributor.authorIrisarri, Iker
dc.contributor.authorFudickar, Adam
dc.contributor.authorSchmidt, Andreas
dc.contributor.authorMeyer, Axel
dc.contributor.authorWikelski, Martin
dc.contributor.authorPartecke, Jesko
dc.date.accessioned2025-11-17T08:44:33Z
dc.date.available2025-11-17T08:44:33Z
dc.date.created2017-03-14T19:15:12Z
dc.date.issued2017
dc.description.abstractSeasonal migration is a widespread phenomenon, which is found in many different lineages of animals. This spectacular behaviour allows animals to avoid seasonally adverse environmental conditions to exploit more favourable habitats. Migration has been intensively studied in birds, which display astonishing variation in migration strategies, thus providing a powerful system for studying the ecological and evolutionary processes that shape migratory behaviour. Despite intensive research, the genetic basis of migration remains largely unknown. Here we used state-of-the-art radio-tracking technology to characterize the migratory behaviour of a partially migratory population of European blackbirds (Turdus merula) in southern Germany. We compared gene expression of resident and migrant individuals using high-throughput transcriptomics in blood samples. Analyses of sequence variation revealed a non-significant genetic structure between blackbirds differing by their migratory phenotype. We detected only four differentially expressed genes between migrants and residents, which might be associated with hyperphagia, moulting, and enhanced DNA replication and transcription. The most pronounced changes in gene expression occurred between migratory birds depending on when, in relation to their date of departure, blood was collected. Overall, the differentially expressed genes detected in this analysis may play crucial roles in determining the decision to migrate, or in controlling the physiological processes required for the onset of migration. These results provide new insights into, and testable hypotheses for, the molecular mechanisms controlling the migratory phenotype and its underlying physiological mechanisms in blackbirds and other migratory bird species.
dc.description.versionpublisheddeu
dc.identifier.doi10.5061/dryad.tc722
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/75234
dc.language.isoeng
dc.relation.isreferencedby10.1111/mec.14108
dc.rightsCreative Commons Zero v1.0 Universal
dc.rights.urihttps://creativecommons.org/publicdomain/zero/1.0/legalcode
dc.subjectblackbird
dc.subjectradio-tracking
dc.subjectTurdus merula
dc.subject.ddc570
dc.titleData from: Animal tracking meets migration genomics: transcriptomic analysis of a partially migratory bird specieseng
dspace.entity.typeDataset
kops.citation.bibtex
kops.citation.iso690FRANCHINI, Paolo, Iker IRISARRI, Adam FUDICKAR, Andreas SCHMIDT, Axel MEYER, Martin WIKELSKI, Jesko PARTECKE, 2017. Data from: Animal tracking meets migration genomics: transcriptomic analysis of a partially migratory bird speciesdeu
kops.citation.iso690FRANCHINI, Paolo, Iker IRISARRI, Adam FUDICKAR, Andreas SCHMIDT, Axel MEYER, Martin WIKELSKI, Jesko PARTECKE, 2017. Data from: Animal tracking meets migration genomics: transcriptomic analysis of a partially migratory bird specieseng
kops.citation.rdf
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/75234">
    <dc:rights>Creative Commons Zero v1.0 Universal</dc:rights>
    <dcterms:abstract>Seasonal migration is a widespread phenomenon, which is found in many different lineages of animals. This spectacular behaviour allows animals to avoid seasonally adverse environmental conditions to exploit more favourable habitats. Migration has been intensively studied in birds, which display astonishing variation in migration strategies, thus providing a powerful system for studying the ecological and evolutionary processes that shape migratory behaviour. Despite intensive research, the genetic basis of migration remains largely unknown. Here we used state-of-the-art radio-tracking technology to characterize the migratory behaviour of a partially migratory population of European blackbirds (Turdus merula) in southern Germany. We compared gene expression of resident and migrant individuals using high-throughput transcriptomics in blood samples. Analyses of sequence variation revealed a non-significant genetic structure between blackbirds differing by their migratory phenotype. We detected only four differentially expressed genes between migrants and residents, which might be associated with hyperphagia, moulting, and enhanced DNA replication and transcription. The most pronounced changes in gene expression occurred between migratory birds depending on when, in relation to their date of departure, blood was collected. Overall, the differentially expressed genes detected in this analysis may play crucial roles in determining the decision to migrate, or in controlling the physiological processes required for the onset of migration. These results provide new insights into, and testable hypotheses for, the molecular mechanisms controlling the migratory phenotype and its underlying physiological mechanisms in blackbirds and other migratory bird species.</dcterms:abstract>
    <dc:contributor>Fudickar, Adam</dc:contributor>
    <dc:creator>Schmidt, Andreas</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Schmidt, Andreas</dc:contributor>
    <dc:contributor>Partecke, Jesko</dc:contributor>
    <dc:creator>Franchini, Paolo</dc:creator>
    <dc:creator>Partecke, Jesko</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-11-17T08:44:33Z</dc:date>
    <dcterms:created rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-03-14T19:15:12Z</dcterms:created>
    <dcterms:rights rdf:resource="https://creativecommons.org/publicdomain/zero/1.0/legalcode"/>
    <dc:creator>Wikelski, Martin</dc:creator>
    <dcterms:issued>2017</dcterms:issued>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-11-17T08:44:33Z</dcterms:available>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/71914"/>
    <dc:creator>Irisarri, Iker</dc:creator>
    <dc:contributor>Meyer, Axel</dc:contributor>
    <dc:creator>Meyer, Axel</dc:creator>
    <dc:creator>Fudickar, Adam</dc:creator>
    <dc:contributor>Wikelski, Martin</dc:contributor>
    <dc:contributor>Irisarri, Iker</dc:contributor>
    <dc:contributor>Franchini, Paolo</dc:contributor>
    <dcterms:isReferencedBy>10.1111/mec.14108</dcterms:isReferencedBy>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/75234"/>
    <dc:language>eng</dc:language>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/71914"/>
    <dcterms:title>Data from: Animal tracking meets migration genomics: transcriptomic analysis of a partially migratory bird species</dcterms:title>
  </rdf:Description>
</rdf:RDF>
kops.datacite.repositoryDRYAD
kops.flag.knbibliographytrue
kops.urlhttps://datadryad.org/dataset/doi:10.5061/dryad.tc722
relation.isAuthorOfDataset2e29c594-5fe3-4873-a625-f291d3395145
relation.isAuthorOfDataset6b2de79c-2141-4da7-afa0-4d6fe6f55471
relation.isAuthorOfDataset171fd8c7-091c-4c42-8098-de48d9c9d07e
relation.isAuthorOfDataset4eed9ec6-4e6c-4a8f-b1f1-c48b9168dd5e
relation.isAuthorOfDataset77c33793-52cc-44a7-9936-fec7d6e8d15c
relation.isAuthorOfDatasetf6475e1f-b263-4ee3-befb-89080e48568e
relation.isAuthorOfDataset00cde0f6-9d58-4dca-a325-4798a4104271
relation.isAuthorOfDataset.latestForDiscovery2e29c594-5fe3-4873-a625-f291d3395145
relation.isPublicationOfDatasetb6f0d6b1-70cf-498c-9710-e68837d909ce
relation.isPublicationOfDataset.latestForDiscoveryb6f0d6b1-70cf-498c-9710-e68837d909ce

Dateien