Ontology type: schema:ScholarlyArticle Open Access: True
2017-12
AUTHORSEstéfani García-Ríos, Miguel Morard, Leopold Parts, Gianni Liti, José M. Guillamón
ABSTRACTBACKGROUND: Low-temperature growth and fermentation of wine yeast can enhance wine aroma and make them highly desirable traits for the industry. Elucidating response to cold in Saccharomyces cerevisiae is, therefore, of paramount importance to select or genetically improve new wine strains. As most enological traits of industrial importance in yeasts, adaptation to low temperature is a polygenic trait regulated by many interacting loci. RESULTS: In order to unravel the genetic determinants of low-temperature fermentation, we mapped quantitative trait loci (QTLs) by bulk segregant analyses in the F13 offspring of two Saccharomyces cerevisiae industrial strains with divergent performance at low temperature. We detected four genomic regions involved in the adaptation at low temperature, three of them located in the subtelomeric regions (chromosomes XIII, XV and XVI) and one in the chromosome XIV. The QTL analysis revealed that subtelomeric regions play a key role in defining individual variation, which emphasizes the importance of these regions' adaptive nature. CONCLUSIONS: The reciprocal hemizygosity analysis (RHA), run to validate the genes involved in low-temperature fermentation, showed that genetic variation in mitochondrial proteins, maintenance of correct asymmetry and distribution of phospholipid in the plasma membrane are key determinants of low-temperature adaptation. More... »
PAGES159
http://scigraph.springernature.com/pub.10.1186/s12864-017-3572-2
DOIhttp://dx.doi.org/10.1186/s12864-017-3572-2
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1083822999
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/28196526
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": "Adaptation, Physiological",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Alleles",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Chromosome Mapping",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Cold Temperature",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Evolution, Molecular",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Fermentation",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Gene Expression Regulation, Fungal",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Gene Frequency",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Genetic Association Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Genome, Fungal",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Genomics",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Genotype",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Phenotype",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Phylogeny",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Quantitative Trait Loci",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Quantitative Trait, Heritable",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Saccharomyces cerevisiae",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Stress, Physiological",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Instituto de Agroqu\u00edmica y Tecnolog\u00eda de Alimentos",
"id": "https://www.grid.ac/institutes/grid.419051.8",
"name": [
"Departamento de Biotecnolog\u00eda de los alimentos, Instituto de Agroqu\u00edmica y Tecnolog\u00eda de los Alimentos (CSIC), Avda. Agust\u00edn Escardino, 7, E-46980-Paterna, Valencia, Spain"
],
"type": "Organization"
},
"familyName": "Garc\u00eda-R\u00edos",
"givenName": "Est\u00e9fani",
"id": "sg:person.01052220460.29",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052220460.29"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Valencia",
"id": "https://www.grid.ac/institutes/grid.5338.d",
"name": [
"Departamento de Biotecnolog\u00eda de los alimentos, Instituto de Agroqu\u00edmica y Tecnolog\u00eda de los Alimentos (CSIC), Avda. Agust\u00edn Escardino, 7, E-46980-Paterna, Valencia, Spain",
"Departament de Gen\u00e8tica, Facultat de Ci\u00e8ncies Biol\u00f2giques, Universitat de Val\u00e8ncia, Dr. Moliner, 50, E-46100 Burjassot, Val\u00e8ncia, Spain"
],
"type": "Organization"
},
"familyName": "Morard",
"givenName": "Miguel",
"id": "sg:person.014221323717.11",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014221323717.11"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Wellcome Sanger Institute",
"id": "https://www.grid.ac/institutes/grid.10306.34",
"name": [
"European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117, Heidelberg, Germany",
"Wellcome Trust Sanger Institute, CB101SA, Hinxton, UK"
],
"type": "Organization"
},
"familyName": "Parts",
"givenName": "Leopold",
"id": "sg:person.01140445235.63",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140445235.63"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Nice Sophia Antipolis University",
"id": "https://www.grid.ac/institutes/grid.10737.32",
"name": [
"Institute of Research on Cancer and Ageing of Nice (IRCAN), CNRS UMR 7284-INSERM U1081, Facult\u00e9 de M\u00e9decine, Universit\u00e9 de Nice Sophia Antipolis, Nice, France"
],
"type": "Organization"
},
"familyName": "Liti",
"givenName": "Gianni",
"id": "sg:person.01140234414.73",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140234414.73"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Instituto de Agroqu\u00edmica y Tecnolog\u00eda de Alimentos",
"id": "https://www.grid.ac/institutes/grid.419051.8",
"name": [
"Departamento de Biotecnolog\u00eda de los alimentos, Instituto de Agroqu\u00edmica y Tecnolog\u00eda de los Alimentos (CSIC), Avda. Agust\u00edn Escardino, 7, E-46980-Paterna, Valencia, Spain"
],
"type": "Organization"
},
"familyName": "Guillam\u00f3n",
"givenName": "Jos\u00e9 M.",
"id": "sg:person.0577144756.70",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577144756.70"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1093/bioinformatics/btu033",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000848409"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02426954",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001007037",
"https://doi.org/10.1007/bf02426954"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02426954",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001007037",
"https://doi.org/10.1007/bf02426954"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00264859",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002106771",
"https://doi.org/10.1007/bf00264859"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00264859",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002106771",
"https://doi.org/10.1007/bf00264859"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/gbe/evq043",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002584244"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3389/fmicb.2016.01199",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003535118"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3389/fgene.2016.00072",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006202829"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1128/aem.01861-10",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006430449"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nmeth.1923",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006541515",
"https://doi.org/10.1038/nmeth.1923"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0168-9525(90)90190-h",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007081857"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jbiosc.2008.12.014",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008520313"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature12904",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008599260",
"https://doi.org/10.1038/nature12904"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.0020195",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009585977"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1567-1364.2006.00034.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009618435"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1567-1364.2006.00034.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009618435"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.106.057927",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010488870"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.106.057927",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010488870"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.femsyr.2004.01.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011410639"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1101/sqb.2009.74.013",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012473702"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.0408709102",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013224383"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.0708194104",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013246148"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1101/gr.116731.110",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016630749"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature08923",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017945699",
"https://doi.org/10.1038/nature08923"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature08923",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017945699",
"https://doi.org/10.1038/nature08923"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/g3.112.002550",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019201983"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/g3.112.002550",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019201983"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1091/mbc.e02-08-0490",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021065958"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1471-2164-15-1059",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021328764",
"https://doi.org/10.1186/1471-2164-15-1059"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/gks005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021332110"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1078/0723-2020-00097",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023108880"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/g3.111.000422",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024056675"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/g3.111.000422",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024056675"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0103233",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025864503"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4939-0554-6_12",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031217746",
"https://doi.org/10.1007/978-1-4939-0554-6_12"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.1005635",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031631872"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/dnares/dss033",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032545501"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/msu037",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032915689"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.108.092932",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033079938"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.108.092932",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033079938"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.1002912",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034249084"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrg2612",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035008603",
"https://doi.org/10.1038/nrg2612"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrg2612",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035008603",
"https://doi.org/10.1038/nrg2612"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/yea.3010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036191019"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.1003693",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037068441"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijfoodmicro.2012.02.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038078805"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cub.2010.04.027",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038146898"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1128/aem.02670-12",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038155646"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3389/fmicb.2016.00001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038570194"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature07743",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041181040",
"https://doi.org/10.1038/nature07743"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/416326a",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041884300",
"https://doi.org/10.1038/416326a"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/416326a",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041884300",
"https://doi.org/10.1038/416326a"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00217-010-1415-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043800655",
"https://doi.org/10.1007/s00217-010-1415-3"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0049640",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045532183"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/mst010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045545793"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.0030031",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045555456"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.1000659",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046308178"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/(sici)1097-0061(199708)13:10<903::aid-yea145>3.0.co;2-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048341651"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/(sici)1097-0061(199708)13:10<903::aid-yea145>3.0.co;2-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048341651"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-294x.2011.05005.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048649936"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/hdy.2015.111",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049282166",
"https://doi.org/10.1038/hdy.2015.111"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1471-2105-10-80",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049575176",
"https://doi.org/10.1186/1471-2105-10-80"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1567-1364.2006.00106.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050345963"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0168-1605(02)00144-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052543213"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1101/gr.170506.113",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052961862"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ng1674",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053557940",
"https://doi.org/10.1038/ng1674"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ng1674",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053557940",
"https://doi.org/10.1038/ng1674"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ng1674",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053557940",
"https://doi.org/10.1038/ng1674"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/00221287-100-2-413",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060362613"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1076619932",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1077158246",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1077394429",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1078792659",
"type": "CreativeWork"
}
],
"datePublished": "2017-12",
"datePublishedReg": "2017-12-01",
"description": "BACKGROUND: Low-temperature growth and fermentation of wine yeast can enhance wine aroma and make them highly desirable traits for the industry. Elucidating response to cold in Saccharomyces cerevisiae is, therefore, of paramount importance to select or genetically improve new wine strains. As most enological traits of industrial importance in yeasts, adaptation to low temperature is a polygenic trait regulated by many interacting loci.\nRESULTS: In order to unravel the genetic determinants of low-temperature fermentation, we mapped quantitative trait loci (QTLs) by bulk segregant analyses in the F13 offspring of two Saccharomyces cerevisiae industrial strains with divergent performance at low temperature. We detected four genomic regions involved in the adaptation at low temperature, three of them located in the subtelomeric regions (chromosomes XIII, XV and XVI) and one in the chromosome XIV. The QTL analysis revealed that subtelomeric regions play a key role in defining individual variation, which emphasizes the importance of these regions' adaptive nature.\nCONCLUSIONS: The reciprocal hemizygosity analysis (RHA), run to validate the genes involved in low-temperature fermentation, showed that genetic variation in mitochondrial proteins, maintenance of correct asymmetry and distribution of phospholipid in the plasma membrane are key determinants of low-temperature adaptation.",
"genre": "research_article",
"id": "sg:pub.10.1186/s12864-017-3572-2",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1023790",
"issn": [
"1471-2164"
],
"name": "BMC Genomics",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "18"
}
],
"name": "The genetic architecture of low-temperature adaptation in the wine yeast Saccharomyces cerevisiae",
"pagination": "159",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"3436f7cfde6a9639c346df976d0c850e79bbd71eab9dc015a6ce921ec4b4241b"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"28196526"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"100965258"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s12864-017-3572-2"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1083822999"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s12864-017-3572-2",
"https://app.dimensions.ai/details/publication/pub.1083822999"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T10:03",
"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/v90/0000000347_0000000347/records_89824_00000002.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1186%2Fs12864-017-3572-2"
}
]
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/s12864-017-3572-2'
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/s12864-017-3572-2'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12864-017-3572-2'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12864-017-3572-2'
This table displays all metadata directly associated to this object as RDF triples.
369 TRIPLES
21 PREDICATES
107 URIs
39 LITERALS
27 BLANK NODES