Ontology type: schema:ScholarlyArticle Open Access: True
2016-10-31
AUTHORSJoshua S. Greene, Maximillian Brown, May Dobosiewicz, Itzel G. Ishida, Evan Z. Macosko, Xinxing Zhang, Rebecca A. Butcher, Devin J. Cline, Patrick T. McGrath, Cornelia I. Bargmann
ABSTRACTThe optimal foraging strategy in a given environment depends on the number of competing individuals and their behavioural strategies. Little is known about the genes and neural circuits that integrate social information into foraging decisions. Here we show that ascaroside pheromones, small glycolipids that signal population density, suppress exploratory foraging in Caenorhabditis elegans, and that heritable variation in this behaviour generates alternative foraging strategies. We find that natural C. elegans isolates differ in their sensitivity to the potent ascaroside icas#9 (IC-asc-C5). A quantitative trait locus (QTL) regulating icas#9 sensitivity includes srx-43, a G-protein-coupled icas#9 receptor that acts in the ASI class of sensory neurons to suppress exploration. Two ancient haplotypes associated with this QTL confer competitive growth advantages that depend on ascaroside secretion, its detection by srx-43 and the distribution of food. These results suggest that balancing selection at the srx-43 locus generates alternative density-dependent behaviours, fulfilling a prediction of foraging game theory. More... »
PAGES254
http://scigraph.springernature.com/pub.10.1038/nature19848
DOIhttp://dx.doi.org/10.1038/nature19848
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1027244565
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/27799655
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/2008/1109",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Neurosciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Animals",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Caenorhabditis elegans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Caenorhabditis elegans Proteins",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Feeding Behavior",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Food",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Game Theory",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Haplotypes",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Hexoses",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Indoles",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Male",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Pheromones",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Population Density",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Quantitative Trait Loci",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Receptors, G-Protein-Coupled",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Selection, Genetic",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Sensory Receptor Cells",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Social Behavior",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Rockefeller University",
"id": "https://www.grid.ac/institutes/grid.134907.8",
"name": [
"Howard Hughes Medical Institute, Lulu and Anthony Wang Laboratory of Neural Circuits and Behavior, The Rockefeller University, New York, New York 10065, USA"
],
"type": "Organization"
},
"familyName": "Greene",
"givenName": "Joshua S.",
"id": "sg:person.016605152025.68",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016605152025.68"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Rockefeller University",
"id": "https://www.grid.ac/institutes/grid.134907.8",
"name": [
"Howard Hughes Medical Institute, Lulu and Anthony Wang Laboratory of Neural Circuits and Behavior, The Rockefeller University, New York, New York 10065, USA"
],
"type": "Organization"
},
"familyName": "Brown",
"givenName": "Maximillian",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Rockefeller University",
"id": "https://www.grid.ac/institutes/grid.134907.8",
"name": [
"Howard Hughes Medical Institute, Lulu and Anthony Wang Laboratory of Neural Circuits and Behavior, The Rockefeller University, New York, New York 10065, USA"
],
"type": "Organization"
},
"familyName": "Dobosiewicz",
"givenName": "May",
"id": "sg:person.010677461225.40",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010677461225.40"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Rockefeller University",
"id": "https://www.grid.ac/institutes/grid.134907.8",
"name": [
"Howard Hughes Medical Institute, Lulu and Anthony Wang Laboratory of Neural Circuits and Behavior, The Rockefeller University, New York, New York 10065, USA"
],
"type": "Organization"
},
"familyName": "Ishida",
"givenName": "Itzel G.",
"id": "sg:person.01104243346.20",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104243346.20"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Rockefeller University",
"id": "https://www.grid.ac/institutes/grid.134907.8",
"name": [
"Howard Hughes Medical Institute, Lulu and Anthony Wang Laboratory of Neural Circuits and Behavior, The Rockefeller University, New York, New York 10065, USA"
],
"type": "Organization"
},
"familyName": "Macosko",
"givenName": "Evan Z.",
"id": "sg:person.0733303161.59",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733303161.59"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Florida",
"id": "https://www.grid.ac/institutes/grid.15276.37",
"name": [
"Department of Chemistry, University of Florida, Gainesville, Florida 32611, USA"
],
"type": "Organization"
},
"familyName": "Zhang",
"givenName": "Xinxing",
"id": "sg:person.01112306521.00",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112306521.00"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Florida",
"id": "https://www.grid.ac/institutes/grid.15276.37",
"name": [
"Department of Chemistry, University of Florida, Gainesville, Florida 32611, USA"
],
"type": "Organization"
},
"familyName": "Butcher",
"givenName": "Rebecca A.",
"id": "sg:person.01124201121.28",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01124201121.28"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Georgia Institute of Technology",
"id": "https://www.grid.ac/institutes/grid.213917.f",
"name": [
"School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, USA"
],
"type": "Organization"
},
"familyName": "Cline",
"givenName": "Devin J.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Georgia Institute of Technology",
"id": "https://www.grid.ac/institutes/grid.213917.f",
"name": [
"School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, USA"
],
"type": "Organization"
},
"familyName": "McGrath",
"givenName": "Patrick T.",
"id": "sg:person.015260324225.52",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015260324225.52"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Rockefeller University",
"id": "https://www.grid.ac/institutes/grid.134907.8",
"name": [
"Howard Hughes Medical Institute, Lulu and Anthony Wang Laboratory of Neural Circuits and Behavior, The Rockefeller University, New York, New York 10065, USA"
],
"type": "Organization"
},
"familyName": "Bargmann",
"givenName": "Cornelia I.",
"id": "sg:person.0647212056.04",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647212056.04"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1101/gr.115402.110",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000102598"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.1423951112",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000153926"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature05764",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001819215",
"https://doi.org/10.1038/nature05764"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cub.2005.04.017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003959977"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cub.2005.04.017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003959977"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1523/jneurosci.2601-12.2012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005096951"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pbio.1001237",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006314567"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1074/jbc.c113.477000",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006908700"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cell.2013.08.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009343880"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/btp698",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012031985"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cmet.2008.01.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014229564"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0896-6273(00)80203-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015533575"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1741-7007-6-42",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017746204",
"https://doi.org/10.1186/1741-7007-6-42"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/btr330",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018404011"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.115.175950",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018963000"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.115.175950",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018963000"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.1318325110",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021403390"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1146/annurev.ento.52.110405.091434",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021525750"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0022-5193(74)90110-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021828787"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0007584",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023411698"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.94.14.7373",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024418395"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature03201",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027548011",
"https://doi.org/10.1038/nature03201"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature03201",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027548011",
"https://doi.org/10.1038/nature03201"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neuron.2009.02.012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027721144"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0896-6273(02)01093-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029289811"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature10378",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030882213",
"https://doi.org/10.1038/nature10378"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature07886",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030999992",
"https://doi.org/10.1038/nature07886"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature07886",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030999992",
"https://doi.org/10.1038/nature07886"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0018-506x(89)90046-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031391759"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.114.169730",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033619732"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.114.169730",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033619732"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1214318",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034903351"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cub.2005.06.022",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037189872"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrg3065",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041964796",
"https://doi.org/10.1038/nrg3065"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1101/gr.157651.113",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053237281"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1090432",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062448999"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1176331",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062460345"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.274.5291.1389",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062554944"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.277.5327.834",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062557619"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1176/ajp.152.6.833",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1063483843"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1895/wormbook.1.43.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1068724195"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1080300025",
"type": "CreativeWork"
}
],
"datePublished": "2016-10-31",
"datePublishedReg": "2016-10-31",
"description": "The optimal foraging strategy in a given environment depends on the number of competing individuals and their behavioural strategies. Little is known about the genes and neural circuits that integrate social information into foraging decisions. Here we show that ascaroside pheromones, small glycolipids that signal population density, suppress exploratory foraging in Caenorhabditis elegans, and that heritable variation in this behaviour generates alternative foraging strategies. We find that natural C. elegans isolates differ in their sensitivity to the potent ascaroside icas#9 (IC-asc-C5). A quantitative trait locus (QTL) regulating icas#9 sensitivity includes srx-43, a G-protein-coupled icas#9 receptor that acts in the ASI class of sensory neurons to suppress exploration. Two ancient haplotypes associated with this QTL confer competitive growth advantages that depend on ascaroside secretion, its detection by srx-43 and the distribution of food. These results suggest that balancing selection at the srx-43 locus generates alternative density-dependent behaviours, fulfilling a prediction of foraging game theory.",
"genre": "research_article",
"id": "sg:pub.10.1038/nature19848",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.2358872",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.4243381",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1018957",
"issn": [
"0090-0028",
"1476-4687"
],
"name": "Nature",
"type": "Periodical"
},
{
"issueNumber": "7628",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "539"
}
],
"name": "Balancing selection shapes density-dependent foraging behaviour",
"pagination": "254",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"81c8641403d20998bf21ea7a1a9c5515c9170b13e15848cede2c9d4cb3bf6a95"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"27799655"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"0410462"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/nature19848"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1027244565"
]
}
],
"sameAs": [
"https://doi.org/10.1038/nature19848",
"https://app.dimensions.ai/details/publication/pub.1027244565"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T15:58",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8664_00000550.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/nature19848"
}
]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/nature19848'
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/nature19848'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nature19848'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nature19848'
This table displays all metadata directly associated to this object as RDF triples.
324 TRIPLES
21 PREDICATES
82 URIs
37 LITERALS
26 BLANK NODES