Data from: Inferences of genetic architecture of bill morphology in house sparrow using a high density SNP array point to a polygenic basis

Understanding the genetic architecture of quantitative traits can provide insights into the mechanisms driving phenotypic evolution. Bill morphology is an ecologically important and phenotypically variable trait, which is highly heritable and closely linked to individual fitness. Thus, bill morpholo...

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Main Authors: Lundregan, Sarah, Hagen, Ingerid, Gohli, Jostein, Niskanen, Alina, Kemppainen, Petri, Ringsby, Thor Harald, Kvalnes, Thomas, Pärn, Henrik, Rønning, Bernt, Holand, Håkon, Ranke, Peter S., Båtnes, Anna, Selvik, Linn-Karina, Lien, Sigbjorn, Sæther, Bernt-Erik, Husby, Arild, Jensen, Henrik
Language:unknown
Published: 2018
Subjects:
Online Access:http://nbn-resolving.org/urn:nbn:nl:ui:13-dm-p1sx
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:109379
id ftdans:oai:easy.dans.knaw.nl:easy-dataset:109379
record_format openpolar
spelling ftdans:oai:easy.dans.knaw.nl:easy-dataset:109379 2023-07-02T03:33:14+02:00 Data from: Inferences of genetic architecture of bill morphology in house sparrow using a high density SNP array point to a polygenic basis Lundregan, Sarah Hagen, Ingerid Gohli, Jostein Niskanen, Alina Kemppainen, Petri Ringsby, Thor Harald Kvalnes, Thomas Pärn, Henrik Rønning, Bernt Holand, Håkon Ranke, Peter S. Båtnes, Anna Selvik, Linn-Karina Lien, Sigbjorn Sæther, Bernt-Erik Husby, Arild Jensen, Henrik 2018-07-16T23:34:54.000+02:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-dm-p1sx https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:109379 unknown doi:10.5061/dryad.hp758sn/1 doi:10.5061/dryad.hp758sn/2 doi:10.5061/dryad.hp758sn/3 doi:10.5061/dryad.hp758sn/4 http://nbn-resolving.org/urn:nbn:nl:ui:13-dm-p1sx doi:10.5061/dryad.hp758sn https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:109379 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2018 ftdans https://doi.org/10.5061/dryad.hp758sn/110.5061/dryad.hp758sn/210.5061/dryad.hp758sn/310.5061/dryad.hp758sn/410.5061/dryad.hp758sn 2023-06-13T12:59:32Z Understanding the genetic architecture of quantitative traits can provide insights into the mechanisms driving phenotypic evolution. Bill morphology is an ecologically important and phenotypically variable trait, which is highly heritable and closely linked to individual fitness. Thus, bill morphology traits are suitable candidates for gene mapping analyses. Previous studies have revealed several genes that may influence bill morphology, but the similarity of gene and allele effects between species and populations is unknown. Here, we develop a custom 200K SNP array and use it to examine the genetic basis of bill morphology in 1857 house sparrow individuals from a large-scale, island metapopulation off the coast of Northern Norway. We found high genomic heritabilities for bill depth and length, which were comparable with previous pedigree estimates. Candidate gene and genome wide association analyses yielded six significant loci, four of which have previously been associated with craniofacial development. Three of these loci are involved in bone morphogenic protein (BMP) signalling, suggesting a role for BMP genes in regulating bill morphology. However, these loci individually explain a small amount of variance. In combination with results from genome partitioning analyses this indicates that bill morphology is a polygenic trait. Any studies of eco-evolutionary processes in bill morphology are therefore dependent on methods that can accommodate polygenic inheritance of the phenotype and molecular-scale evolution of genetic architecture. Other/Unknown Material Northern Norway Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) Norway
institution Open Polar
collection Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
op_collection_id ftdans
language unknown
topic Life sciences
medicine and health care
spellingShingle Life sciences
medicine and health care
Lundregan, Sarah
Hagen, Ingerid
Gohli, Jostein
Niskanen, Alina
Kemppainen, Petri
Ringsby, Thor Harald
Kvalnes, Thomas
Pärn, Henrik
Rønning, Bernt
Holand, Håkon
Ranke, Peter S.
Båtnes, Anna
Selvik, Linn-Karina
Lien, Sigbjorn
Sæther, Bernt-Erik
Husby, Arild
Jensen, Henrik
Data from: Inferences of genetic architecture of bill morphology in house sparrow using a high density SNP array point to a polygenic basis
topic_facet Life sciences
medicine and health care
description Understanding the genetic architecture of quantitative traits can provide insights into the mechanisms driving phenotypic evolution. Bill morphology is an ecologically important and phenotypically variable trait, which is highly heritable and closely linked to individual fitness. Thus, bill morphology traits are suitable candidates for gene mapping analyses. Previous studies have revealed several genes that may influence bill morphology, but the similarity of gene and allele effects between species and populations is unknown. Here, we develop a custom 200K SNP array and use it to examine the genetic basis of bill morphology in 1857 house sparrow individuals from a large-scale, island metapopulation off the coast of Northern Norway. We found high genomic heritabilities for bill depth and length, which were comparable with previous pedigree estimates. Candidate gene and genome wide association analyses yielded six significant loci, four of which have previously been associated with craniofacial development. Three of these loci are involved in bone morphogenic protein (BMP) signalling, suggesting a role for BMP genes in regulating bill morphology. However, these loci individually explain a small amount of variance. In combination with results from genome partitioning analyses this indicates that bill morphology is a polygenic trait. Any studies of eco-evolutionary processes in bill morphology are therefore dependent on methods that can accommodate polygenic inheritance of the phenotype and molecular-scale evolution of genetic architecture.
author Lundregan, Sarah
Hagen, Ingerid
Gohli, Jostein
Niskanen, Alina
Kemppainen, Petri
Ringsby, Thor Harald
Kvalnes, Thomas
Pärn, Henrik
Rønning, Bernt
Holand, Håkon
Ranke, Peter S.
Båtnes, Anna
Selvik, Linn-Karina
Lien, Sigbjorn
Sæther, Bernt-Erik
Husby, Arild
Jensen, Henrik
author_facet Lundregan, Sarah
Hagen, Ingerid
Gohli, Jostein
Niskanen, Alina
Kemppainen, Petri
Ringsby, Thor Harald
Kvalnes, Thomas
Pärn, Henrik
Rønning, Bernt
Holand, Håkon
Ranke, Peter S.
Båtnes, Anna
Selvik, Linn-Karina
Lien, Sigbjorn
Sæther, Bernt-Erik
Husby, Arild
Jensen, Henrik
author_sort Lundregan, Sarah
title Data from: Inferences of genetic architecture of bill morphology in house sparrow using a high density SNP array point to a polygenic basis
title_short Data from: Inferences of genetic architecture of bill morphology in house sparrow using a high density SNP array point to a polygenic basis
title_full Data from: Inferences of genetic architecture of bill morphology in house sparrow using a high density SNP array point to a polygenic basis
title_fullStr Data from: Inferences of genetic architecture of bill morphology in house sparrow using a high density SNP array point to a polygenic basis
title_full_unstemmed Data from: Inferences of genetic architecture of bill morphology in house sparrow using a high density SNP array point to a polygenic basis
title_sort data from: inferences of genetic architecture of bill morphology in house sparrow using a high density snp array point to a polygenic basis
publishDate 2018
url http://nbn-resolving.org/urn:nbn:nl:ui:13-dm-p1sx
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:109379
geographic Norway
geographic_facet Norway
genre Northern Norway
genre_facet Northern Norway
op_relation doi:10.5061/dryad.hp758sn/1
doi:10.5061/dryad.hp758sn/2
doi:10.5061/dryad.hp758sn/3
doi:10.5061/dryad.hp758sn/4
http://nbn-resolving.org/urn:nbn:nl:ui:13-dm-p1sx
doi:10.5061/dryad.hp758sn
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:109379
op_rights OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI
https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
op_doi https://doi.org/10.5061/dryad.hp758sn/110.5061/dryad.hp758sn/210.5061/dryad.hp758sn/310.5061/dryad.hp758sn/410.5061/dryad.hp758sn
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