Ontology type: schema:ScholarlyArticle Open Access: True
2010-12
AUTHORSJia-Xing Yue, Jinpeng Li, Dan Wang, Hitoshi Araki, Dacheng Tian, Sihai Yang
ABSTRACTBACKGROUND: Rates of molecular evolution vary widely among species. While significant deviations from molecular clock have been found in many taxa, effects of life histories on molecular evolution are not fully understood. In plants, annual/perennial life history traits have long been suspected to influence the evolutionary rates at the molecular level. To date, however, the number of genes investigated on this subject is limited and the conclusions are mixed. To evaluate the possible heterogeneity in evolutionary rates between annual and perennial plants at the genomic level, we investigated 85 nuclear housekeeping genes, 10 non-housekeeping families, and 34 chloroplast genes using the genomic data from model plants including Arabidopsis thaliana and Medicago truncatula for annuals and grape (Vitis vinifera) and popular (Populus trichocarpa) for perennials. RESULTS: According to the cross-comparisons among the four species, 74-82% of the nuclear genes and 71-97% of the chloroplast genes suggested higher rates of molecular evolution in the two annuals than those in the two perennials. The significant heterogeneity in evolutionary rate between annuals and perennials was consistently found both in nonsynonymous sites and synonymous sites. While a linear correlation of evolutionary rates in orthologous genes between species was observed in nonsynonymous sites, the correlation was weak or invisible in synonymous sites. This tendency was clearer in nuclear genes than in chloroplast genes, in which the overall evolutionary rate was small. The slope of the regression line was consistently lower than unity, further confirming the higher evolutionary rate in annuals at the genomic level. CONCLUSIONS: The higher evolutionary rate in annuals than in perennials appears to be a universal phenomenon both in nuclear and chloroplast genomes in the four dicot model plants we investigated. Therefore, such heterogeneity in evolutionary rate should result from factors that have genome-wide influence, most likely those associated with annual/perennial life history. Although we acknowledge current limitations of this kind of study, mainly due to a small sample size available and a distant taxonomic relationship of the model organisms, our results indicate that the genome-wide survey is a promising approach toward further understanding of the mechanism determining the molecular evolutionary rate at the genomic level. More... »
PAGES242
http://scigraph.springernature.com/pub.10.1186/1471-2229-10-242
DOIhttp://dx.doi.org/10.1186/1471-2229-10-242
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1053111803
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/21062446
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"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Arabidopsis",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Cell Nucleus",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Chloroplasts",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "DNA, Chloroplast",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Evolution, Molecular",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Genome, Plant",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Medicago truncatula",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Nuclear Proteins",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Phylogeny",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Plant Proteins",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Plants",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Populus",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Vitis",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Rice University",
"id": "https://www.grid.ac/institutes/grid.21940.3e",
"name": [
"State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, 210093, Nanjing, PR, China",
"Department of Ecology and Evolutionary Biology, Rice University, 77005, Houston, TX, USA"
],
"type": "Organization"
},
"familyName": "Yue",
"givenName": "Jia-Xing",
"id": "sg:person.0646257562.14",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646257562.14"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Nanjing University",
"id": "https://www.grid.ac/institutes/grid.41156.37",
"name": [
"State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, 210093, Nanjing, PR, China"
],
"type": "Organization"
},
"familyName": "Li",
"givenName": "Jinpeng",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Nanjing University",
"id": "https://www.grid.ac/institutes/grid.41156.37",
"name": [
"State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, 210093, Nanjing, PR, China"
],
"type": "Organization"
},
"familyName": "Wang",
"givenName": "Dan",
"id": "sg:person.01246175240.06",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246175240.06"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Swiss Federal Institute of Aquatic Science and Technology",
"id": "https://www.grid.ac/institutes/grid.418656.8",
"name": [
"State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, 210093, Nanjing, PR, China",
"Eawag, Swiss Federal Institute of Aquatic Science and Technology, Center of Ecology, Evolution and Biogeochemistry, 6047, Kastanienbaum, Switzerland"
],
"type": "Organization"
},
"familyName": "Araki",
"givenName": "Hitoshi",
"id": "sg:person.01272402010.92",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272402010.92"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Nanjing University",
"id": "https://www.grid.ac/institutes/grid.41156.37",
"name": [
"State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, 210093, Nanjing, PR, China"
],
"type": "Organization"
},
"familyName": "Tian",
"givenName": "Dacheng",
"id": "sg:person.0776303701.43",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0776303701.43"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Nanjing University",
"id": "https://www.grid.ac/institutes/grid.41156.37",
"name": [
"State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, 210093, Nanjing, PR, China"
],
"type": "Organization"
},
"familyName": "Yang",
"givenName": "Sihai",
"id": "sg:person.01323715325.96",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323715325.96"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1098/rspb.2006.3657",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000693046"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/msm092",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001758106"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.94.11.5722",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003013293"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0169-5347(96)10006-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004741147"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/oxfordjournals.molbev.a003894",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005584795"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/oxfordjournals.molbev.a025781",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006241119"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1471-2148-8-344",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007442732",
"https://doi.org/10.1186/1471-2148-8-344"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1074/jbc.m104863200",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007926574"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.89.16.7844",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008383515"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-313x.2007.03091.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009140706"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1006/mpev.1994.1040",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009287019"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1006/mpev.1996.0012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010029513"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1146/annurev.ecolsys.37.091305.110215",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011285269"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.90.22.10676",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012744456"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/oxfordjournals.molbev.a025817",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013540379"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rstb.1996.0112",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020267557"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/msm088",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020427894"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1068275",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020691036"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/oxfordjournals.molbev.a026126",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022036195"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1128691",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022607900"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0169-5347(96)81056-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022838762"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.84.24.9054",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022917385"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rspb.2005.3217",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023813811"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.82.6.1741",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027315234"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.106.060863",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027936907"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.106.060863",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027936907"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0022-5193(65)90083-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028819868"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature02053",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029791427",
"https://doi.org/10.1038/nature02053"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature02053",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029791427",
"https://doi.org/10.1038/nature02053"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.93.19.10274",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030242883"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00239-002-2395-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030798322",
"https://doi.org/10.1007/s00239-002-2395-0"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1139/x88-032",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032743856"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf01653959",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037450396",
"https://doi.org/10.1007/bf01653959"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf01653959",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037450396",
"https://doi.org/10.1007/bf01653959"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1471-2148-9-177",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037888457",
"https://doi.org/10.1186/1471-2148-9-177"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature06148",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040664071",
"https://doi.org/10.1038/nature06148"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00435285",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040669716",
"https://doi.org/10.1007/bf00435285"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/22.22.4673",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042438223"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.73.6.2086",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042660594"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00239-009-9307-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043051278",
"https://doi.org/10.1007/s00239-009-9307-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00239-009-9307-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043051278",
"https://doi.org/10.1007/s00239-009-9307-5"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.90.9.4087",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043208527"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/35048692",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044298669",
"https://doi.org/10.1038/35048692"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/35048692",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044298669",
"https://doi.org/10.1038/35048692"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00239-008-9095-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044644700",
"https://doi.org/10.1007/s00239-008-9095-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00239-008-9095-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044644700",
"https://doi.org/10.1007/s00239-008-9095-3"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.290.5494.1151",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050543187"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1146/annurev.es.23.110192.001403",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051701510"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1471-2148-8-280",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052214988",
"https://doi.org/10.1186/1471-2148-8-280"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1163197",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062458635"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.179.4078.1144",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062506733"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.3082006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062588627"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/2656886",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070048664"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1079673639",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1080526109",
"type": "CreativeWork"
}
],
"datePublished": "2010-12",
"datePublishedReg": "2010-12-01",
"description": "BACKGROUND: Rates of molecular evolution vary widely among species. While significant deviations from molecular clock have been found in many taxa, effects of life histories on molecular evolution are not fully understood. In plants, annual/perennial life history traits have long been suspected to influence the evolutionary rates at the molecular level. To date, however, the number of genes investigated on this subject is limited and the conclusions are mixed. To evaluate the possible heterogeneity in evolutionary rates between annual and perennial plants at the genomic level, we investigated 85 nuclear housekeeping genes, 10 non-housekeeping families, and 34 chloroplast genes using the genomic data from model plants including Arabidopsis thaliana and Medicago truncatula for annuals and grape (Vitis vinifera) and popular (Populus trichocarpa) for perennials.\nRESULTS: According to the cross-comparisons among the four species, 74-82% of the nuclear genes and 71-97% of the chloroplast genes suggested higher rates of molecular evolution in the two annuals than those in the two perennials. The significant heterogeneity in evolutionary rate between annuals and perennials was consistently found both in nonsynonymous sites and synonymous sites. While a linear correlation of evolutionary rates in orthologous genes between species was observed in nonsynonymous sites, the correlation was weak or invisible in synonymous sites. This tendency was clearer in nuclear genes than in chloroplast genes, in which the overall evolutionary rate was small. The slope of the regression line was consistently lower than unity, further confirming the higher evolutionary rate in annuals at the genomic level.\nCONCLUSIONS: The higher evolutionary rate in annuals than in perennials appears to be a universal phenomenon both in nuclear and chloroplast genomes in the four dicot model plants we investigated. Therefore, such heterogeneity in evolutionary rate should result from factors that have genome-wide influence, most likely those associated with annual/perennial life history. Although we acknowledge current limitations of this kind of study, mainly due to a small sample size available and a distant taxonomic relationship of the model organisms, our results indicate that the genome-wide survey is a promising approach toward further understanding of the mechanism determining the molecular evolutionary rate at the genomic level.",
"genre": "research_article",
"id": "sg:pub.10.1186/1471-2229-10-242",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.4926059",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.5214309",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1024638",
"issn": [
"1471-2229"
],
"name": "BMC Plant Biology",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "10"
}
],
"name": "Genome-wide investigation reveals high evolutionary rates in annual model plants",
"pagination": "242",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"fcfbabadef32fdab8756974fd764ccac04a9e1dc4d232e8350372fcd55f69926"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"21062446"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"100967807"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/1471-2229-10-242"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1053111803"
]
}
],
"sameAs": [
"https://doi.org/10.1186/1471-2229-10-242",
"https://app.dimensions.ai/details/publication/pub.1053111803"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T18:19",
"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_8675_00000508.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1186%2F1471-2229-10-242"
}
]
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.10.1186/1471-2229-10-242'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2229-10-242'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2229-10-242'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2229-10-242'
This table displays all metadata directly associated to this object as RDF triples.
322 TRIPLES
21 PREDICATES
91 URIs
34 LITERALS
22 BLANK NODES