Ontology type: schema:ScholarlyArticle Open Access: True
2014-07-23
AUTHORSM J van Strien, R Holderegger, H J Van Heck
ABSTRACTIn landscape genetics, isolation-by-distance (IBD) is regarded as a baseline pattern that is obtained without additional effects of landscape elements on gene flow. However, the configuration of suitable habitat patches determines deme topology, which in turn should affect rates of gene flow. IBD patterns can be characterized either by monotonically increasing pairwise genetic differentiation (for example, FST) with increasing interdeme geographic distance (case-I pattern) or by monotonically increasing pairwise genetic differentiation up to a certain geographical distance beyond which no correlation is detectable anymore (case-IV pattern). We investigated if landscape configuration influenced the rate at which a case-IV pattern changed to a case-I pattern. We also determined at what interdeme distance the highest correlation was measured between genetic differentiation and geographic distance and whether this distance corresponded to the maximum migration distance. We set up a population genetic simulation study and assessed the development of IBD patterns for several habitat configurations and maximum migration distances. We show that the rate and likelihood of the transition of case-IV to case-I FST–distance relationships was strongly influenced by habitat configuration and maximum migration distance. We also found that the maximum correlation between genetic differentiation and geographic distance was not related to the maximum migration distance and was measured across all deme pairs in a case-I pattern and, for a case-IV pattern, at the distance where the FST–distance curve flattens out. We argue that in landscape genetics, separate analyses should be performed to either assess IBD or the landscape effects on gene flow. More... »
PAGES27-37
http://scigraph.springernature.com/pub.10.1038/hdy.2014.62
DOIhttp://dx.doi.org/10.1038/hdy.2014.62
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1030057157
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/25052412
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Biological Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Genetics",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Computer Simulation",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Environment",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Gene Flow",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Genetics, Population",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Geography",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Models, Genetic",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Stochastic Processes",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "WSL Swiss Federal Research Institute, Z\u00fcrcherstrasse 111, Birmensdorf, Switzerland",
"id": "http://www.grid.ac/institutes/grid.419754.a",
"name": [
"Planning of Landscape and Urban Systems, ETH Zurich, Stefano-Franscini-Platz 5, Zurich, Switzerland",
"WSL Swiss Federal Research Institute, Z\u00fcrcherstrasse 111, Birmensdorf, Switzerland"
],
"type": "Organization"
},
"familyName": "van Strien",
"givenName": "M J",
"id": "sg:person.01344302453.75",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344302453.75"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Environmental System Sciences, ETH Zurich, Universit\u00e4tsstrasse 16, Zurich, Switzerland",
"id": "http://www.grid.ac/institutes/grid.5801.c",
"name": [
"WSL Swiss Federal Research Institute, Z\u00fcrcherstrasse 111, Birmensdorf, Switzerland",
"Department of Environmental System Sciences, ETH Zurich, Universit\u00e4tsstrasse 16, Zurich, Switzerland"
],
"type": "Organization"
},
"familyName": "Holderegger",
"givenName": "R",
"id": "sg:person.01014057420.44",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014057420.44"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Earth Sciences, Utrecht University, Budapestlaan 4, Utrecht, The Netherlands",
"id": "http://www.grid.ac/institutes/grid.5477.1",
"name": [
"Earth and Ocean Sciences, Cardiff University, Main Building, Park Place, Cardiff, UK",
"Institute of Earth Sciences, Utrecht University, Budapestlaan 4, Utrecht, The Netherlands"
],
"type": "Organization"
},
"familyName": "Van Heck",
"givenName": "H J",
"id": "sg:person.011165013333.44",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011165013333.44"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s10841-011-9399-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000189206",
"https://doi.org/10.1007/s10841-011-9399-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1046/j.1365-2540.2001.00883.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016502796",
"https://doi.org/10.1046/j.1365-2540.2001.00883.x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10980-006-9011-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052320674",
"https://doi.org/10.1007/s10980-006-9011-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10980-005-6058-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041220160",
"https://doi.org/10.1007/s10980-005-6058-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/sj.hdy.6884960",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002523739",
"https://doi.org/10.1038/sj.hdy.6884960"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/hdy.2009.70",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018969134",
"https://doi.org/10.1038/hdy.2009.70"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10592-005-9026-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038416353",
"https://doi.org/10.1007/s10592-005-9026-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10980-009-9436-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037002393",
"https://doi.org/10.1007/s10980-009-9436-7"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/b:land.0000018357.45262.b9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038006734",
"https://doi.org/10.1023/b:land.0000018357.45262.b9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/sj.hdy.6800680",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031144726",
"https://doi.org/10.1038/sj.hdy.6800680"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/23876",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034416188",
"https://doi.org/10.1038/23876"
],
"type": "CreativeWork"
}
],
"datePublished": "2014-07-23",
"datePublishedReg": "2014-07-23",
"description": "In landscape genetics, isolation-by-distance (IBD) is regarded as a baseline pattern that is obtained without additional effects of landscape elements on gene flow. However, the configuration of suitable habitat patches determines deme topology, which in turn should affect rates of gene flow. IBD patterns can be characterized either by monotonically increasing pairwise genetic differentiation (for example, FST) with increasing interdeme geographic distance (case-I pattern) or by monotonically increasing pairwise genetic differentiation up to a certain geographical distance beyond which no correlation is detectable anymore (case-IV pattern). We investigated if landscape configuration influenced the rate at which a case-IV pattern changed to a case-I pattern. We also determined at what interdeme distance the highest correlation was measured between genetic differentiation and geographic distance and whether this distance corresponded to the maximum migration distance. We set up a population genetic simulation study and assessed the development of IBD patterns for several habitat configurations and maximum migration distances. We show that the rate and likelihood of the transition of case-IV to case-I FST\u2013distance relationships was strongly influenced by habitat configuration and maximum migration distance. We also found that the maximum correlation between genetic differentiation and geographic distance was not related to the maximum migration distance and was measured across all deme pairs in a case-I pattern and, for a case-IV pattern, at the distance where the FST\u2013distance curve flattens out. We argue that in landscape genetics, separate analyses should be performed to either assess IBD or the landscape effects on gene flow.",
"genre": "article",
"id": "sg:pub.10.1038/hdy.2014.62",
"inLanguage": "en",
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1017442",
"issn": [
"0018-067X",
"1365-2540"
],
"name": "Heredity",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "114"
}
],
"keywords": [
"baseline patterns",
"additional effect",
"separate analysis",
"genetics",
"patterns",
"effect",
"rate",
"differentiation",
"correlation",
"high correlation",
"Case IV",
"IBD",
"isolation",
"migration distance",
"study",
"development",
"likelihood",
"relationship",
"distance",
"flow",
"turn",
"maximum correlation",
"curves",
"analysis",
"consideration",
"landscape genetics",
"landscape elements",
"elements",
"gene flow",
"suitable habitat",
"IBD pattern",
"pairwise genetic differentiation",
"genetic differentiation",
"geographic distance",
"geographical distance",
"landscape configuration",
"maximum migration distance",
"simulation study",
"habitat configuration",
"transition",
"distance relationships",
"pairs",
"landscape effects",
"landscape",
"configuration",
"habitats",
"topology"
],
"name": "Isolation-by-distance in landscapes: considerations for landscape genetics",
"pagination": "27-37",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1030057157"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/hdy.2014.62"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"25052412"
]
}
],
"sameAs": [
"https://doi.org/10.1038/hdy.2014.62",
"https://app.dimensions.ai/details/publication/pub.1030057157"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-10T10:07",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_649.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1038/hdy.2014.62"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/hdy.2014.62'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/hdy.2014.62'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/hdy.2014.62'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/hdy.2014.62'
This table displays all metadata directly associated to this object as RDF triples.
204 TRIPLES
22 PREDICATES
91 URIs
72 LITERALS
14 BLANK NODES