Ontology type: schema:ScholarlyArticle Open Access: True
2019-12
AUTHORSLukas Landler, James Skelton, Michael S. Painter, Paul W. Youmans, Rachel Muheim, Robert P. Creed, Bryan L. Brown, John B. Phillips
ABSTRACTMagnetic sensing is used to structure every-day, non-migratory behaviours in many animals. We show that crayfish exhibit robust spontaneous magnetic alignment responses. These magnetic behaviours are altered by interactions with Branchiobdellidan worms, which are obligate ectosymbionts. Branchiobdellidan worms have previously been shown to have positive effects on host growth when present at moderate densities, and negative effects at relatively high densities. Here we show that crayfish with moderate densities of symbionts aligned bimodally along the magnetic northeast-southwest axis, similar to passive magnetic alignment responses observed across a range of stationary vertebrates. In contrast, crayfish with high symbiont densities failed to exhibit consistent alignment relative to the magnetic field. Crayfish without symbionts shifted exhibited quadramodal magnetic alignment and were more active. These behavioural changes suggest a change in the organization of spatial behaviour with increasing ectosymbiont densities. We propose that the increased activity and a switch to quadramodal magnetic alignment may be associated with the use of systematic search strategies. Such a strategy could increase contact-rates with conspecifics in order to replenish the beneficial ectosymbionts that only disperse between hosts during direct contact. Our results demonstrate that crayfish perceive and respond to magnetic fields, and that symbionts influence magnetically structured spatial behaviour of their hosts. More... »
PAGES3105
http://scigraph.springernature.com/pub.10.1038/s41598-018-38404-7
DOIhttp://dx.doi.org/10.1038/s41598-018-38404-7
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"type": "PropertyValue",
"value": [
"30816116"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101563288"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/s41598-018-38404-7"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1112436915"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41598-018-38404-7",
"https://app.dimensions.ai/details/publication/pub.1112436915"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T10:59",
"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/v90/0000000352_0000000352/records_60335_00000004.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/s41598-018-38404-7"
}
]
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/s41598-018-38404-7'
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/s41598-018-38404-7'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-38404-7'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-38404-7'
This table displays all metadata directly associated to this object as RDF triples.
302 TRIPLES
21 PREDICATES
82 URIs
21 LITERALS
9 BLANK NODES