Ontology type: schema:ScholarlyArticle Open Access: True
2019-12
AUTHORSKenji Toyota, Maria Cambronero Cuenca, Vignesh Dhandapani, Antonio Suppa, Valeria Rossi, John K. Colbourne, Luisa Orsini
ABSTRACTTemperature and photoperiod regulate key fitness traits in plants and animals. However, with temperature increase due to global warming, temperature cue thresholds are experienced at shorter photoperiods, disrupting the optimal seasonal timing of physiological, developmental and reproductive events in many species. Understanding the mechanisms of adaptation to the asynchrony between temperature and photoperiod is key to inform our understanding of how species will respond to global warming. Here, we studied the transgenerational mechanisms of responses of the cyclical parthenogen Daphnia magna to different photoperiod lengths co-occurring with warm temperature thereby assessing the impact of earlier spring warming on its fitness. Daphnia uses temperature and photoperiod cues to time dormancy, and to switch between sexual and asexual reproduction. Daphnia life cycle offers the opportunity to measure the relative contribution of plastic and genetic responses to environmental change across generations and over evolutionary time. We use transgenerational common garden experiments on three populations 'resurrected' from a biological archive experiencing temperature increase over five decades. Our results suggest that response to early spring warming evolved underpinned by a complex interaction between plastic and genetic mechanisms while a positive maternal contribution at matching environments between parental and offspring generation was also observed. More... »
PAGES4449
http://scigraph.springernature.com/pub.10.1038/s41598-019-40946-3
DOIhttp://dx.doi.org/10.1038/s41598-019-40946-3
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1112763411
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30872717
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/2008/0604",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Genetics",
"type": "DefinedTerm"
},
{
"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"
}
],
"author": [
{
"affiliation": {
"alternateName": "Tokyo University of Science",
"id": "https://www.grid.ac/institutes/grid.143643.7",
"name": [
"Environmental Genomics Group, School of Biosciences, University of Birmingham, B15 2TT, Birmingham, UK",
"Department of Biological Science, Faculty of Science, Kanagawa University, 259-1293, Hiratsuka, Kanagawa, Japan",
"Department of Biological Science and Technology, Tokyo University of Science, Katsushika, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Toyota",
"givenName": "Kenji",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Swiss Federal Institute of Aquatic Science and Technology",
"id": "https://www.grid.ac/institutes/grid.418656.8",
"name": [
"Environmental Genomics Group, School of Biosciences, University of Birmingham, B15 2TT, Birmingham, UK",
"Aquatic Ecology Department, EAWAG, Kastanienbaum, Switzerland"
],
"type": "Organization"
},
"familyName": "Cuenca",
"givenName": "Maria Cambronero",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Birmingham",
"id": "https://www.grid.ac/institutes/grid.6572.6",
"name": [
"Environmental Genomics Group, School of Biosciences, University of Birmingham, B15 2TT, Birmingham, UK"
],
"type": "Organization"
},
"familyName": "Dhandapani",
"givenName": "Vignesh",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Parma",
"id": "https://www.grid.ac/institutes/grid.10383.39",
"name": [
"Environmental Genomics Group, School of Biosciences, University of Birmingham, B15 2TT, Birmingham, UK",
"Department of Chemistry, Life Sciences and Environmental Sustainability University of Parma, Department of Life Sciences, Viale Usberti, 11/A, Parma, Italy"
],
"type": "Organization"
},
"familyName": "Suppa",
"givenName": "Antonio",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Parma",
"id": "https://www.grid.ac/institutes/grid.10383.39",
"name": [
"Department of Chemistry, Life Sciences and Environmental Sustainability University of Parma, Department of Life Sciences, Viale Usberti, 11/A, Parma, Italy"
],
"type": "Organization"
},
"familyName": "Rossi",
"givenName": "Valeria",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Birmingham",
"id": "https://www.grid.ac/institutes/grid.6572.6",
"name": [
"Environmental Genomics Group, School of Biosciences, University of Birmingham, B15 2TT, Birmingham, UK"
],
"type": "Organization"
},
"familyName": "Colbourne",
"givenName": "John K.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Birmingham",
"id": "https://www.grid.ac/institutes/grid.6572.6",
"name": [
"Environmental Genomics Group, School of Biosciences, University of Birmingham, B15 2TT, Birmingham, UK"
],
"type": "Organization"
},
"familyName": "Orsini",
"givenName": "Luisa",
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1111/j.1365-294x.2011.05429.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002666591"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/ele.12551",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002840381"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1752-4571.2011.00213.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002905903"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00026701",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003619913",
"https://doi.org/10.1007/bf00026701"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00026701",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003619913",
"https://doi.org/10.1007/bf00026701"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00026701",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003619913",
"https://doi.org/10.1007/bf00026701"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/gcb.13041",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004019787"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rspb.2011.2404",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004254342"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1046/j.1471-8286.2003.00351.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005674384"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jhered/esv060",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006173637"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rspb.2003.2635",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007242825"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.tree.2008.04.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007579773"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-294x.2007.03428.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009133458"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4615-4080-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010120113",
"https://doi.org/10.1007/978-1-4615-4080-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4615-4080-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010120113",
"https://doi.org/10.1007/978-1-4615-4080-9"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0045-6535(03)00761-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011396873"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0045-6535(03)00761-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011396873"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1461-0248.2004.00627.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014936592"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rspb.2014.2205",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015920562"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rspb.2011.0870",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016902511"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2435.2010.01821.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017111252"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.febslet.2010.11.058",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018704246"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/jeb.12014",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019491680"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/ele.12237",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019949324"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/icb/icr103",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020656787"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1006/bijl.2000.0474",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023560777"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ibmb.2013.04.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025170904"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.tree.2013.01.009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025690224"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrg3142",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027336196",
"https://doi.org/10.1038/nrg3142"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/eva.12137",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027890687"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1890/14-2071.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027956980"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/btm308",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028217957"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rspb.2014.0311",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029506443"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/btg359",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030077759"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.1002874",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030773725"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3389/fpls.2011.00102",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030978386"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature09670",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031358082",
"https://doi.org/10.1038/nature09670"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/gcb.13028",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032308788"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/jeb.12212",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034388012"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/1365-2656.12474",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036822467"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/bies.201200054",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038089177"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/mec.13907",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038328498"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/jeb.12490",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038800955"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pbio.1000357",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039714808"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.115.181628",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040563484"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.115.181628",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040563484"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cois.2015.12.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042590167"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1146/annurev-physiol-021909-135837",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047010236"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2435.2007.01283.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047100528"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jinsphys.2015.02.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048352794"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2427.2009.02365.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048642514"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2427.2009.02365.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048642514"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1146/annurev.ecolsys.37.091305.110115",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050806778"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rspb.2015.2271",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051548403"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/gki776",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052036569"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/gki776",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052036569"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2427.2008.02103.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053135016"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/msw200",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059923308"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/msw251",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059923356"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1148766",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062456490"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/1938637",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069662537"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/2409651",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069918561"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1078957195",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1079322969",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1080543810",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1082812997",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/mec.14040",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1083401528"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/gcb.13903",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1092190052"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/eva.12561",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1092230622"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/acprof:oso/9780198570875.001.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1098730987"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3791/56637",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1100549583"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.tree.2018.07.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1106431792"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.tree.2018.07.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1106431792"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/mec.14890",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1107482834"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/s41598-018-35861-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1110288659",
"https://doi.org/10.1038/s41598-018-35861-y"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/s41598-018-35861-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1110288659",
"https://doi.org/10.1038/s41598-018-35861-y"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/s41598-018-35861-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1110288659",
"https://doi.org/10.1038/s41598-018-35861-y"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.23943/princeton/9780691145433.001.0001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1111588323"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-12",
"datePublishedReg": "2019-12-01",
"description": "Temperature and photoperiod regulate key fitness traits in plants and animals. However, with temperature increase due to global warming, temperature cue thresholds are experienced at shorter photoperiods, disrupting the optimal seasonal timing of physiological, developmental and reproductive events in many species. Understanding the mechanisms of adaptation to the asynchrony between temperature and photoperiod is key to inform our understanding of how species will respond to global warming. Here, we studied the transgenerational mechanisms of responses of the cyclical parthenogen Daphnia magna to different photoperiod lengths co-occurring with warm temperature thereby assessing the impact of earlier spring warming on its fitness. Daphnia uses temperature and photoperiod cues to time dormancy, and to switch between sexual and asexual reproduction. Daphnia life cycle offers the opportunity to measure the relative contribution of plastic and genetic responses to environmental change across generations and over evolutionary time. We use transgenerational common garden experiments on three populations 'resurrected' from a biological archive experiencing temperature increase over five decades. Our results suggest that response to early spring warming evolved underpinned by a complex interaction between plastic and genetic mechanisms while a positive maternal contribution at matching environments between parental and offspring generation was also observed.",
"genre": "research_article",
"id": "sg:pub.10.1038/s41598-019-40946-3",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.5071586",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1045337",
"issn": [
"2045-2322"
],
"name": "Scientific Reports",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "9"
}
],
"name": "Transgenerational response to early spring warming in Daphnia",
"pagination": "4449",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"78747a2114ee41912a138945e30425914c42906a51226d96564e30e307326f0e"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30872717"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101563288"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/s41598-019-40946-3"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1112763411"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41598-019-40946-3",
"https://app.dimensions.ai/details/publication/pub.1112763411"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:17",
"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/v90/0000000368_0000000368/records_78935_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/s41598-019-40946-3"
}
]
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/s41598-019-40946-3'
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/s41598-019-40946-3'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40946-3'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40946-3'
This table displays all metadata directly associated to this object as RDF triples.
323 TRIPLES
21 PREDICATES
97 URIs
21 LITERALS
9 BLANK NODES