SNP mining in C. clementina BAC end sequences; transferability in the Citrus genus (Rutaceae), phylogenetic inferences and perspectives for genetic ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-12

AUTHORS

Patrick Ollitrault, Javier Terol, Andres Garcia-Lor, Aurélie Bérard, Aurélie Chauveau, Yann Froelicher, Caroline Belzile, Raphaël Morillon, Luis Navarro, Dominique Brunel, Manuel Talon

ABSTRACT

BACKGROUND: With the increasing availability of EST databases and whole genome sequences, SNPs have become the most abundant and powerful polymorphic markers. However, SNP chip data generally suffers from ascertainment biases caused by the SNP discovery and selection process in which a small number of individuals are used as discovery panels. The ongoing International Citrus Genome Consortium sequencing project of the highly heterozygous Clementine and sweet orange genomes will soon result in the release of several hundred thousand SNPs. The primary goals of this study were: (i) to estimate the transferability within the genus Citrus of SNPs discovered from Clementine BACend sequencing (BES), (ii) to estimate bias associated with the very narrow discovery panel, and (iii) to evaluate the usefulness of the Clementine-derived SNP markers for diversity analysis and comparative mapping studies between the different cultivated Citrus species. RESULTS: Fifty-four accessions covering the main Citrus species and 52 interspecific hybrids between pummelo and Clementine were genotyped on a GoldenGate array platform using 1,457 SNPs mined from Clementine BES and 37 SNPs identified between and within C. maxima, C. medica, C. reticulata and C. micrantha. Consistent results were obtained from 622 SNP loci. Of these markers, 116 displayed incomplete transferability primarily in C. medica, C. maxima and wild Citrus species. The two primary biases associated with the SNP mining in Clementine were an overestimation of the C. reticulata diversity and an underestimation of the interspecific differentiation. However, the genetic stratification of the gene pool was high, with very frequent significant linkage disequilibrium. Furthermore, the shared intraspecific polymorphism and accession heterozygosity were generally enough to perform interspecific comparative genetic mapping. CONCLUSIONS: A set of 622 SNP markers providing consistent results was selected. Of the markers mined from Clementine, 80.5% were successfully transferred to the whole Citrus gene pool. Despite the ascertainment biases in relation to the Clementine origin, the SNP data confirm the important stratification of the gene pools around C. maxima, C. medica and C. reticulata as well as previous hypothesis on the origin of secondary species. The implemented SNP marker set will be very useful for comparative genetic mapping in Citrus and genetic association in C. reticulata. More... »

PAGES

13

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2164-13-13

DOI

http://dx.doi.org/10.1186/1471-2164-13-13

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038691810

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22233093


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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": "Alleles", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Base Sequence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromosome Mapping", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromosomes, Artificial, Bacterial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Citrus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cluster Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Expressed Sequence Tags", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Loci", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genome, Plant", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Molecular Sequence Data", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phylogeny", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Instituto Valenciano de Investigaciones Agrarias", 
          "id": "https://www.grid.ac/institutes/grid.419276.f", 
          "name": [
            "CIRAD, UMR AGAP, Avenue Agropolis, TA A-108/02, 34398, Montpellier, Cedex 5, France", 
            "Centro de Proteccion Vegetal y Biotechnologia, IVIA, Apartado Oficial, 46113, Moncada (Valencia), Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ollitrault", 
        "givenName": "Patrick", 
        "id": "sg:person.01205753552.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205753552.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto Valenciano de Investigaciones Agrarias", 
          "id": "https://www.grid.ac/institutes/grid.419276.f", 
          "name": [
            "Centro de genomica, IVIA, Apartado Oficial, 46113, Moncada (Valencia), Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Terol", 
        "givenName": "Javier", 
        "id": "sg:person.0613051611.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613051611.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto Valenciano de Investigaciones Agrarias", 
          "id": "https://www.grid.ac/institutes/grid.419276.f", 
          "name": [
            "Centro de Proteccion Vegetal y Biotechnologia, IVIA, Apartado Oficial, 46113, Moncada (Valencia), Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garcia-Lor", 
        "givenName": "Andres", 
        "id": "sg:person.01341215325.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01341215325.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "INRA, UR EPGV, 2 rue Gaston Cremieux, 91057, Evry, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "B\u00e9rard", 
        "givenName": "Aur\u00e9lie", 
        "id": "sg:person.01045641217.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045641217.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "INRA, UR EPGV, 2 rue Gaston Cremieux, 91057, Evry, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chauveau", 
        "givenName": "Aur\u00e9lie", 
        "id": "sg:person.01263356514.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263356514.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre de Coop\u00e9ration Internationale en Recherche Agronomique pour le D\u00e9veloppement", 
          "id": "https://www.grid.ac/institutes/grid.8183.2", 
          "name": [
            "CIRAD, UMR AGAP, Avenue Agropolis, TA A-108/02, 34398, Montpellier, Cedex 5, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Froelicher", 
        "givenName": "Yann", 
        "id": "sg:person.01322202152.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01322202152.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto Valenciano de Investigaciones Agrarias", 
          "id": "https://www.grid.ac/institutes/grid.419276.f", 
          "name": [
            "Centro de Proteccion Vegetal y Biotechnologia, IVIA, Apartado Oficial, 46113, Moncada (Valencia), Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Belzile", 
        "givenName": "Caroline", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto Valenciano de Investigaciones Agrarias", 
          "id": "https://www.grid.ac/institutes/grid.419276.f", 
          "name": [
            "CIRAD, UMR AGAP, Avenue Agropolis, TA A-108/02, 34398, Montpellier, Cedex 5, France", 
            "Centro de genomica, IVIA, Apartado Oficial, 46113, Moncada (Valencia), Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morillon", 
        "givenName": "Rapha\u00ebl", 
        "id": "sg:person.0722164142.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722164142.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto Valenciano de Investigaciones Agrarias", 
          "id": "https://www.grid.ac/institutes/grid.419276.f", 
          "name": [
            "Centro de Proteccion Vegetal y Biotechnologia, IVIA, Apartado Oficial, 46113, Moncada (Valencia), Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Navarro", 
        "givenName": "Luis", 
        "id": "sg:person.01337025443.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01337025443.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "INRA, UR EPGV, 2 rue Gaston Cremieux, 91057, Evry, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brunel", 
        "givenName": "Dominique", 
        "id": "sg:person.01052447323.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052447323.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto Valenciano de Investigaciones Agrarias", 
          "id": "https://www.grid.ac/institutes/grid.419276.f", 
          "name": [
            "Centro de genomica, IVIA, Apartado Oficial, 46113, Moncada (Valencia), Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Talon", 
        "givenName": "Manuel", 
        "id": "sg:person.01105313503.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105313503.93"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00122-006-0255-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001683278", 
          "https://doi.org/10.1007/s00122-006-0255-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-006-0255-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001683278", 
          "https://doi.org/10.1007/s00122-006-0255-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.201394398", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001866470"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1696", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002416433", 
          "https://doi.org/10.1038/ng1696"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1696", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002416433", 
          "https://doi.org/10.1038/ng1696"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2229-9-110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003363881", 
          "https://doi.org/10.1186/1471-2229-9-110"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scienta.2009.02.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003457212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng813", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003787037", 
          "https://doi.org/10.1038/ng813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng813", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003787037", 
          "https://doi.org/10.1038/ng813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10681-010-0146-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008395673", 
          "https://doi.org/10.1007/s10681-010-0146-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10681-010-0146-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008395673", 
          "https://doi.org/10.1007/s10681-010-0146-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.106.067462", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008711905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.106.067462", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008711905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10577-006-1101-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009037111", 
          "https://doi.org/10.1007/s10577-006-1101-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/ddl115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011515985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/mpev.2001.1008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012059319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1755-0998.2010.02891.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012569117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1755-0998.2010.02891.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012569117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2008/574927", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012618499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-007-0083-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017952106", 
          "https://doi.org/10.1007/s11295-007-0083-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00438-011-0658-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018087909", 
          "https://doi.org/10.1007/s00438-011-0658-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00438-011-0658-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018087909", 
          "https://doi.org/10.1007/s00438-011-0658-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2229-8-128", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018394066", 
          "https://doi.org/10.1186/1471-2229-8-128"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10329-010-0232-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018426806", 
          "https://doi.org/10.1007/s10329-010-0232-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.4107905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018883190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019172680", 
          "https://doi.org/10.1038/nmeth.1191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1899", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020115583", 
          "https://doi.org/10.1038/ng1899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1899", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020115583", 
          "https://doi.org/10.1038/ng1899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-9-287", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021124397", 
          "https://doi.org/10.1186/1471-2164-9-287"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.arplant.54.031902.134907", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021273162"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tig.2003.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021519377"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10517-011-1287-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023407754", 
          "https://doi.org/10.1007/s10517-011-1287-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.104.034959", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025441450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.104.034959", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025441450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.2078", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026802139", 
          "https://doi.org/10.1038/nbt.2078"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jhered/esm031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027581142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1697", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027902994", 
          "https://doi.org/10.1038/ng1697"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1697", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027902994", 
          "https://doi.org/10.1038/ng1697"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001220051419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028157449", 
          "https://doi.org/10.1007/s001220051419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001220051419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028157449", 
          "https://doi.org/10.1007/s001220051419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-1119(99)00219-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031039232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001220050807", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035744142", 
          "https://doi.org/10.1007/s001220050807"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001220050807", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035744142", 
          "https://doi.org/10.1007/s001220050807"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/22.20.4167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037859059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.106.055871", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037911716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.106.055871", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037911716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1050-3862(98)00026-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038045882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11032-009-9363-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038877854", 
          "https://doi.org/10.1007/s11032-009-9363-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11032-009-9363-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038877854", 
          "https://doi.org/10.1007/s11032-009-9363-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bti282", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040416489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.70.12.3321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042233071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1755-0998.2010.02949.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044654081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-010-0314-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045284286", 
          "https://doi.org/10.1007/s11295-010-0314-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00223466", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046201820", 
          "https://doi.org/10.1007/bf00223466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msq148", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046307020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.9.9.868", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046849268"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1270/jsbbs.60.524", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050094122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03195216", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050572664", 
          "https://doi.org/10.1007/bf03195216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03195216", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050572664", 
          "https://doi.org/10.1007/bf03195216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-7652.2009.00459.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050763579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-7652.2009.00459.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050763579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-9-423", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051644675", 
          "https://doi.org/10.1186/1471-2164-9-423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/381000", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058673096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.17660/actahortic.2001.546.27", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068401531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.17660/actahortic.2007.760.17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068415238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2408641", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069917637"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2418325", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069921872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2418763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069922227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076585304", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a040454", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079752303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2484763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102612753"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-12", 
    "datePublishedReg": "2012-12-01", 
    "description": "BACKGROUND: With the increasing availability of EST databases and whole genome sequences, SNPs have become the most abundant and powerful polymorphic markers. However, SNP chip data generally suffers from ascertainment biases caused by the SNP discovery and selection process in which a small number of individuals are used as discovery panels. The ongoing International Citrus Genome Consortium sequencing project of the highly heterozygous Clementine and sweet orange genomes will soon result in the release of several hundred thousand SNPs. The primary goals of this study were: (i) to estimate the transferability within the genus Citrus of SNPs discovered from Clementine BACend sequencing (BES), (ii) to estimate bias associated with the very narrow discovery panel, and (iii) to evaluate the usefulness of the Clementine-derived SNP markers for diversity analysis and comparative mapping studies between the different cultivated Citrus species.\nRESULTS: Fifty-four accessions covering the main Citrus species and 52 interspecific hybrids between pummelo and Clementine were genotyped on a GoldenGate array platform using 1,457 SNPs mined from Clementine BES and 37 SNPs identified between and within C. maxima, C. medica, C. reticulata and C. micrantha. Consistent results were obtained from 622 SNP loci. Of these markers, 116 displayed incomplete transferability primarily in C. medica, C. maxima and wild Citrus species. The two primary biases associated with the SNP mining in Clementine were an overestimation of the C. reticulata diversity and an underestimation of the interspecific differentiation. However, the genetic stratification of the gene pool was high, with very frequent significant linkage disequilibrium. Furthermore, the shared intraspecific polymorphism and accession heterozygosity were generally enough to perform interspecific comparative genetic mapping.\nCONCLUSIONS: A set of 622 SNP markers providing consistent results was selected. Of the markers mined from Clementine, 80.5% were successfully transferred to the whole Citrus gene pool. Despite the ascertainment biases in relation to the Clementine origin, the SNP data confirm the important stratification of the gene pools around C. maxima, C. medica and C. reticulata as well as previous hypothesis on the origin of secondary species. The implemented SNP marker set will be very useful for comparative genetic mapping in Citrus and genetic association in C. reticulata.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2164-13-13", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1023790", 
        "issn": [
          "1471-2164"
        ], 
        "name": "BMC Genomics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "13"
      }
    ], 
    "name": "SNP mining in C. clementina BAC end sequences; transferability in the Citrus genus (Rutaceae), phylogenetic inferences and perspectives for genetic mapping", 
    "pagination": "13", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b84fa6f6f50dc7557e835db88872d08125192bcf980002d58900e334fad08a2f"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22233093"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100965258"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2164-13-13"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1038691810"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2164-13-13", 
      "https://app.dimensions.ai/details/publication/pub.1038691810"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:23", 
    "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_8693_00000507.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2164-13-13"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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.10.1186/1471-2164-13-13'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-13-13'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-13-13'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-13-13'


 

This table displays all metadata directly associated to this object as RDF triples.

391 TRIPLES      21 PREDICATES      98 URIs      35 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2164-13-13 schema:about N15b79fccbfa24897b5f4cf1697eb717d
2 N250b45a072e047e3a1cf2a53e767007c
3 N2f82f84685954ba3b88ad27b02766cbc
4 N3d4423753a3d42b585e7b247550a5253
5 N4392e992f53f41d1a63349339fcd7d2f
6 N49f5f7bfeb4941efa840ee346e24aa1d
7 N659fb06651514df2bc8e0de5aaf737cb
8 N81f94b14fcb44357835c64c358998aa8
9 N8fc0a08b6a4d484abdfc8a537ce6fde1
10 N943309535fa644b18dbf8a0c6eaa7a40
11 N9631894d023d492c9cc66656283eb10a
12 Nd8019b4a0a5c4d599c939e0198e4c557
13 Nfaf6eb85600140ad80d67e8125b74754
14 Nfbf3ac7299684d439f7b2a5bc0370935
15 anzsrc-for:06
16 anzsrc-for:0604
17 schema:author N46231ba09b214eb8a5bf4d85e058add0
18 schema:citation sg:pub.10.1007/bf00223466
19 sg:pub.10.1007/bf03195216
20 sg:pub.10.1007/s00122-006-0255-9
21 sg:pub.10.1007/s001220050807
22 sg:pub.10.1007/s001220051419
23 sg:pub.10.1007/s00438-011-0658-4
24 sg:pub.10.1007/s10329-010-0232-4
25 sg:pub.10.1007/s10517-011-1287-y
26 sg:pub.10.1007/s10577-006-1101-2
27 sg:pub.10.1007/s10681-010-0146-7
28 sg:pub.10.1007/s11032-009-9363-y
29 sg:pub.10.1007/s11295-007-0083-3
30 sg:pub.10.1007/s11295-010-0314-x
31 sg:pub.10.1038/nbt.2078
32 sg:pub.10.1038/ng1696
33 sg:pub.10.1038/ng1697
34 sg:pub.10.1038/ng1899
35 sg:pub.10.1038/ng813
36 sg:pub.10.1038/nmeth.1191
37 sg:pub.10.1186/1471-2164-9-287
38 sg:pub.10.1186/1471-2164-9-423
39 sg:pub.10.1186/1471-2229-8-128
40 sg:pub.10.1186/1471-2229-9-110
41 https://app.dimensions.ai/details/publication/pub.1076585304
42 https://doi.org/10.1006/mpev.2001.1008
43 https://doi.org/10.1016/j.scienta.2009.02.018
44 https://doi.org/10.1016/j.tig.2003.12.002
45 https://doi.org/10.1016/s0378-1119(99)00219-x
46 https://doi.org/10.1016/s1050-3862(98)00026-6
47 https://doi.org/10.1073/pnas.201394398
48 https://doi.org/10.1073/pnas.70.12.3321
49 https://doi.org/10.1086/381000
50 https://doi.org/10.1093/bioinformatics/bti282
51 https://doi.org/10.1093/hmg/ddl115
52 https://doi.org/10.1093/jhered/esm031
53 https://doi.org/10.1093/molbev/msq148
54 https://doi.org/10.1093/nar/22.20.4167
55 https://doi.org/10.1093/oxfordjournals.molbev.a040454
56 https://doi.org/10.1101/gr.4107905
57 https://doi.org/10.1101/gr.9.9.868
58 https://doi.org/10.1111/j.1467-7652.2009.00459.x
59 https://doi.org/10.1111/j.1755-0998.2010.02891.x
60 https://doi.org/10.1111/j.1755-0998.2010.02949.x
61 https://doi.org/10.1146/annurev.arplant.54.031902.134907
62 https://doi.org/10.1155/2008/574927
63 https://doi.org/10.1270/jsbbs.60.524
64 https://doi.org/10.1534/genetics.104.034959
65 https://doi.org/10.1534/genetics.106.055871
66 https://doi.org/10.1534/genetics.106.067462
67 https://doi.org/10.17660/actahortic.2001.546.27
68 https://doi.org/10.17660/actahortic.2007.760.17
69 https://doi.org/10.2307/2408641
70 https://doi.org/10.2307/2418325
71 https://doi.org/10.2307/2418763
72 https://doi.org/10.2307/2484763
73 schema:datePublished 2012-12
74 schema:datePublishedReg 2012-12-01
75 schema:description BACKGROUND: With the increasing availability of EST databases and whole genome sequences, SNPs have become the most abundant and powerful polymorphic markers. However, SNP chip data generally suffers from ascertainment biases caused by the SNP discovery and selection process in which a small number of individuals are used as discovery panels. The ongoing International Citrus Genome Consortium sequencing project of the highly heterozygous Clementine and sweet orange genomes will soon result in the release of several hundred thousand SNPs. The primary goals of this study were: (i) to estimate the transferability within the genus Citrus of SNPs discovered from Clementine BACend sequencing (BES), (ii) to estimate bias associated with the very narrow discovery panel, and (iii) to evaluate the usefulness of the Clementine-derived SNP markers for diversity analysis and comparative mapping studies between the different cultivated Citrus species. RESULTS: Fifty-four accessions covering the main Citrus species and 52 interspecific hybrids between pummelo and Clementine were genotyped on a GoldenGate array platform using 1,457 SNPs mined from Clementine BES and 37 SNPs identified between and within C. maxima, C. medica, C. reticulata and C. micrantha. Consistent results were obtained from 622 SNP loci. Of these markers, 116 displayed incomplete transferability primarily in C. medica, C. maxima and wild Citrus species. The two primary biases associated with the SNP mining in Clementine were an overestimation of the C. reticulata diversity and an underestimation of the interspecific differentiation. However, the genetic stratification of the gene pool was high, with very frequent significant linkage disequilibrium. Furthermore, the shared intraspecific polymorphism and accession heterozygosity were generally enough to perform interspecific comparative genetic mapping. CONCLUSIONS: A set of 622 SNP markers providing consistent results was selected. Of the markers mined from Clementine, 80.5% were successfully transferred to the whole Citrus gene pool. Despite the ascertainment biases in relation to the Clementine origin, the SNP data confirm the important stratification of the gene pools around C. maxima, C. medica and C. reticulata as well as previous hypothesis on the origin of secondary species. The implemented SNP marker set will be very useful for comparative genetic mapping in Citrus and genetic association in C. reticulata.
76 schema:genre research_article
77 schema:inLanguage en
78 schema:isAccessibleForFree true
79 schema:isPartOf Nbd19646a35ca40ffbe0205439fc2a724
80 Ne8dd7cee5c914b48b2cc6e1aeca24e2c
81 sg:journal.1023790
82 schema:name SNP mining in C. clementina BAC end sequences; transferability in the Citrus genus (Rutaceae), phylogenetic inferences and perspectives for genetic mapping
83 schema:pagination 13
84 schema:productId N04faab228b1b4797a9f6c80b50358260
85 N14448a685de14b6581031ab83f115b81
86 N5435de0ba0694dc1b84f0657d9b22639
87 Na659d38576af4844bc4b8fb17d7565a5
88 Nd58c47f8f57a4098832a331213b675c7
89 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038691810
90 https://doi.org/10.1186/1471-2164-13-13
91 schema:sdDatePublished 2019-04-10T23:23
92 schema:sdLicense https://scigraph.springernature.com/explorer/license/
93 schema:sdPublisher Nf77669f51c524871a300d48486e4d594
94 schema:url http://link.springer.com/10.1186%2F1471-2164-13-13
95 sgo:license sg:explorer/license/
96 sgo:sdDataset articles
97 rdf:type schema:ScholarlyArticle
98 N04faab228b1b4797a9f6c80b50358260 schema:name pubmed_id
99 schema:value 22233093
100 rdf:type schema:PropertyValue
101 N08ea4b4f0c204ffe96694b1a39aee3b9 rdf:first sg:person.0722164142.76
102 rdf:rest N96607aad3c874bb5a58fb061f37f883e
103 N14448a685de14b6581031ab83f115b81 schema:name doi
104 schema:value 10.1186/1471-2164-13-13
105 rdf:type schema:PropertyValue
106 N15b79fccbfa24897b5f4cf1697eb717d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Genome, Plant
108 rdf:type schema:DefinedTerm
109 N250b45a072e047e3a1cf2a53e767007c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Chromosomes, Artificial, Bacterial
111 rdf:type schema:DefinedTerm
112 N2adb2f22bfea46bcb44d3b7d94908f8c rdf:first sg:person.01263356514.92
113 rdf:rest Nf06c41ea696640c992220566fb66ed9f
114 N2f82f84685954ba3b88ad27b02766cbc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Reproducibility of Results
116 rdf:type schema:DefinedTerm
117 N3d4423753a3d42b585e7b247550a5253 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Genotype
119 rdf:type schema:DefinedTerm
120 N3dc34e5a720a481d8860a563d6ab370c schema:name INRA, UR EPGV, 2 rue Gaston Cremieux, 91057, Evry, France
121 rdf:type schema:Organization
122 N4392e992f53f41d1a63349339fcd7d2f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Polymorphism, Single Nucleotide
124 rdf:type schema:DefinedTerm
125 N46231ba09b214eb8a5bf4d85e058add0 rdf:first sg:person.01205753552.49
126 rdf:rest N8501acb7e23b4e308b41161ee4325b69
127 N49f5f7bfeb4941efa840ee346e24aa1d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Base Sequence
129 rdf:type schema:DefinedTerm
130 N5435de0ba0694dc1b84f0657d9b22639 schema:name dimensions_id
131 schema:value pub.1038691810
132 rdf:type schema:PropertyValue
133 N59ace8fde9a543f4973de8234cf661c3 schema:name INRA, UR EPGV, 2 rue Gaston Cremieux, 91057, Evry, France
134 rdf:type schema:Organization
135 N5be286117bb5444d8efe00e9b97b3a68 rdf:first sg:person.01341215325.65
136 rdf:rest N9e10426d46f84e3e90d79efc38baeed3
137 N659fb06651514df2bc8e0de5aaf737cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Molecular Sequence Data
139 rdf:type schema:DefinedTerm
140 N81f94b14fcb44357835c64c358998aa8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Alleles
142 rdf:type schema:DefinedTerm
143 N8501acb7e23b4e308b41161ee4325b69 rdf:first sg:person.0613051611.83
144 rdf:rest N5be286117bb5444d8efe00e9b97b3a68
145 N8fc0a08b6a4d484abdfc8a537ce6fde1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Cluster Analysis
147 rdf:type schema:DefinedTerm
148 N943309535fa644b18dbf8a0c6eaa7a40 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Chromosome Mapping
150 rdf:type schema:DefinedTerm
151 N9631894d023d492c9cc66656283eb10a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Genetic Loci
153 rdf:type schema:DefinedTerm
154 N96607aad3c874bb5a58fb061f37f883e rdf:first sg:person.01337025443.76
155 rdf:rest Ne660885e8e3c47a590087659618b8c07
156 N9cdc9643f9704454ad64c6424b9b9181 rdf:first Nc58b9b7eefac4ee2874e357a86c689f9
157 rdf:rest N08ea4b4f0c204ffe96694b1a39aee3b9
158 N9e10426d46f84e3e90d79efc38baeed3 rdf:first sg:person.01045641217.40
159 rdf:rest N2adb2f22bfea46bcb44d3b7d94908f8c
160 Na659d38576af4844bc4b8fb17d7565a5 schema:name nlm_unique_id
161 schema:value 100965258
162 rdf:type schema:PropertyValue
163 Nbd19646a35ca40ffbe0205439fc2a724 schema:issueNumber 1
164 rdf:type schema:PublicationIssue
165 Nc58b9b7eefac4ee2874e357a86c689f9 schema:affiliation https://www.grid.ac/institutes/grid.419276.f
166 schema:familyName Belzile
167 schema:givenName Caroline
168 rdf:type schema:Person
169 Nd58c47f8f57a4098832a331213b675c7 schema:name readcube_id
170 schema:value b84fa6f6f50dc7557e835db88872d08125192bcf980002d58900e334fad08a2f
171 rdf:type schema:PropertyValue
172 Nd8019b4a0a5c4d599c939e0198e4c557 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Citrus
174 rdf:type schema:DefinedTerm
175 Ne660885e8e3c47a590087659618b8c07 rdf:first sg:person.01052447323.42
176 rdf:rest Nf7b8babbfbe74540b9af4968d6141000
177 Ne8dd7cee5c914b48b2cc6e1aeca24e2c schema:volumeNumber 13
178 rdf:type schema:PublicationVolume
179 Nf06c41ea696640c992220566fb66ed9f rdf:first sg:person.01322202152.43
180 rdf:rest N9cdc9643f9704454ad64c6424b9b9181
181 Nf6bced4300a940888ace293ef777afe7 schema:name INRA, UR EPGV, 2 rue Gaston Cremieux, 91057, Evry, France
182 rdf:type schema:Organization
183 Nf77669f51c524871a300d48486e4d594 schema:name Springer Nature - SN SciGraph project
184 rdf:type schema:Organization
185 Nf7b8babbfbe74540b9af4968d6141000 rdf:first sg:person.01105313503.93
186 rdf:rest rdf:nil
187 Nfaf6eb85600140ad80d67e8125b74754 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
188 schema:name Expressed Sequence Tags
189 rdf:type schema:DefinedTerm
190 Nfbf3ac7299684d439f7b2a5bc0370935 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
191 schema:name Phylogeny
192 rdf:type schema:DefinedTerm
193 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
194 schema:name Biological Sciences
195 rdf:type schema:DefinedTerm
196 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
197 schema:name Genetics
198 rdf:type schema:DefinedTerm
199 sg:journal.1023790 schema:issn 1471-2164
200 schema:name BMC Genomics
201 rdf:type schema:Periodical
202 sg:person.01045641217.40 schema:affiliation N59ace8fde9a543f4973de8234cf661c3
203 schema:familyName Bérard
204 schema:givenName Aurélie
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045641217.40
206 rdf:type schema:Person
207 sg:person.01052447323.42 schema:affiliation Nf6bced4300a940888ace293ef777afe7
208 schema:familyName Brunel
209 schema:givenName Dominique
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052447323.42
211 rdf:type schema:Person
212 sg:person.01105313503.93 schema:affiliation https://www.grid.ac/institutes/grid.419276.f
213 schema:familyName Talon
214 schema:givenName Manuel
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105313503.93
216 rdf:type schema:Person
217 sg:person.01205753552.49 schema:affiliation https://www.grid.ac/institutes/grid.419276.f
218 schema:familyName Ollitrault
219 schema:givenName Patrick
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205753552.49
221 rdf:type schema:Person
222 sg:person.01263356514.92 schema:affiliation N3dc34e5a720a481d8860a563d6ab370c
223 schema:familyName Chauveau
224 schema:givenName Aurélie
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263356514.92
226 rdf:type schema:Person
227 sg:person.01322202152.43 schema:affiliation https://www.grid.ac/institutes/grid.8183.2
228 schema:familyName Froelicher
229 schema:givenName Yann
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01322202152.43
231 rdf:type schema:Person
232 sg:person.01337025443.76 schema:affiliation https://www.grid.ac/institutes/grid.419276.f
233 schema:familyName Navarro
234 schema:givenName Luis
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01337025443.76
236 rdf:type schema:Person
237 sg:person.01341215325.65 schema:affiliation https://www.grid.ac/institutes/grid.419276.f
238 schema:familyName Garcia-Lor
239 schema:givenName Andres
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01341215325.65
241 rdf:type schema:Person
242 sg:person.0613051611.83 schema:affiliation https://www.grid.ac/institutes/grid.419276.f
243 schema:familyName Terol
244 schema:givenName Javier
245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613051611.83
246 rdf:type schema:Person
247 sg:person.0722164142.76 schema:affiliation https://www.grid.ac/institutes/grid.419276.f
248 schema:familyName Morillon
249 schema:givenName Raphaël
250 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722164142.76
251 rdf:type schema:Person
252 sg:pub.10.1007/bf00223466 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046201820
253 https://doi.org/10.1007/bf00223466
254 rdf:type schema:CreativeWork
255 sg:pub.10.1007/bf03195216 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050572664
256 https://doi.org/10.1007/bf03195216
257 rdf:type schema:CreativeWork
258 sg:pub.10.1007/s00122-006-0255-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001683278
259 https://doi.org/10.1007/s00122-006-0255-9
260 rdf:type schema:CreativeWork
261 sg:pub.10.1007/s001220050807 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035744142
262 https://doi.org/10.1007/s001220050807
263 rdf:type schema:CreativeWork
264 sg:pub.10.1007/s001220051419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028157449
265 https://doi.org/10.1007/s001220051419
266 rdf:type schema:CreativeWork
267 sg:pub.10.1007/s00438-011-0658-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018087909
268 https://doi.org/10.1007/s00438-011-0658-4
269 rdf:type schema:CreativeWork
270 sg:pub.10.1007/s10329-010-0232-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018426806
271 https://doi.org/10.1007/s10329-010-0232-4
272 rdf:type schema:CreativeWork
273 sg:pub.10.1007/s10517-011-1287-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1023407754
274 https://doi.org/10.1007/s10517-011-1287-y
275 rdf:type schema:CreativeWork
276 sg:pub.10.1007/s10577-006-1101-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009037111
277 https://doi.org/10.1007/s10577-006-1101-2
278 rdf:type schema:CreativeWork
279 sg:pub.10.1007/s10681-010-0146-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008395673
280 https://doi.org/10.1007/s10681-010-0146-7
281 rdf:type schema:CreativeWork
282 sg:pub.10.1007/s11032-009-9363-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1038877854
283 https://doi.org/10.1007/s11032-009-9363-y
284 rdf:type schema:CreativeWork
285 sg:pub.10.1007/s11295-007-0083-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017952106
286 https://doi.org/10.1007/s11295-007-0083-3
287 rdf:type schema:CreativeWork
288 sg:pub.10.1007/s11295-010-0314-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045284286
289 https://doi.org/10.1007/s11295-010-0314-x
290 rdf:type schema:CreativeWork
291 sg:pub.10.1038/nbt.2078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026802139
292 https://doi.org/10.1038/nbt.2078
293 rdf:type schema:CreativeWork
294 sg:pub.10.1038/ng1696 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002416433
295 https://doi.org/10.1038/ng1696
296 rdf:type schema:CreativeWork
297 sg:pub.10.1038/ng1697 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027902994
298 https://doi.org/10.1038/ng1697
299 rdf:type schema:CreativeWork
300 sg:pub.10.1038/ng1899 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020115583
301 https://doi.org/10.1038/ng1899
302 rdf:type schema:CreativeWork
303 sg:pub.10.1038/ng813 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003787037
304 https://doi.org/10.1038/ng813
305 rdf:type schema:CreativeWork
306 sg:pub.10.1038/nmeth.1191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019172680
307 https://doi.org/10.1038/nmeth.1191
308 rdf:type schema:CreativeWork
309 sg:pub.10.1186/1471-2164-9-287 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021124397
310 https://doi.org/10.1186/1471-2164-9-287
311 rdf:type schema:CreativeWork
312 sg:pub.10.1186/1471-2164-9-423 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051644675
313 https://doi.org/10.1186/1471-2164-9-423
314 rdf:type schema:CreativeWork
315 sg:pub.10.1186/1471-2229-8-128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018394066
316 https://doi.org/10.1186/1471-2229-8-128
317 rdf:type schema:CreativeWork
318 sg:pub.10.1186/1471-2229-9-110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003363881
319 https://doi.org/10.1186/1471-2229-9-110
320 rdf:type schema:CreativeWork
321 https://app.dimensions.ai/details/publication/pub.1076585304 schema:CreativeWork
322 https://doi.org/10.1006/mpev.2001.1008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012059319
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1016/j.scienta.2009.02.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003457212
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1016/j.tig.2003.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021519377
327 rdf:type schema:CreativeWork
328 https://doi.org/10.1016/s0378-1119(99)00219-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031039232
329 rdf:type schema:CreativeWork
330 https://doi.org/10.1016/s1050-3862(98)00026-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038045882
331 rdf:type schema:CreativeWork
332 https://doi.org/10.1073/pnas.201394398 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001866470
333 rdf:type schema:CreativeWork
334 https://doi.org/10.1073/pnas.70.12.3321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042233071
335 rdf:type schema:CreativeWork
336 https://doi.org/10.1086/381000 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058673096
337 rdf:type schema:CreativeWork
338 https://doi.org/10.1093/bioinformatics/bti282 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040416489
339 rdf:type schema:CreativeWork
340 https://doi.org/10.1093/hmg/ddl115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011515985
341 rdf:type schema:CreativeWork
342 https://doi.org/10.1093/jhered/esm031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027581142
343 rdf:type schema:CreativeWork
344 https://doi.org/10.1093/molbev/msq148 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046307020
345 rdf:type schema:CreativeWork
346 https://doi.org/10.1093/nar/22.20.4167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037859059
347 rdf:type schema:CreativeWork
348 https://doi.org/10.1093/oxfordjournals.molbev.a040454 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079752303
349 rdf:type schema:CreativeWork
350 https://doi.org/10.1101/gr.4107905 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018883190
351 rdf:type schema:CreativeWork
352 https://doi.org/10.1101/gr.9.9.868 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046849268
353 rdf:type schema:CreativeWork
354 https://doi.org/10.1111/j.1467-7652.2009.00459.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050763579
355 rdf:type schema:CreativeWork
356 https://doi.org/10.1111/j.1755-0998.2010.02891.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012569117
357 rdf:type schema:CreativeWork
358 https://doi.org/10.1111/j.1755-0998.2010.02949.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044654081
359 rdf:type schema:CreativeWork
360 https://doi.org/10.1146/annurev.arplant.54.031902.134907 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021273162
361 rdf:type schema:CreativeWork
362 https://doi.org/10.1155/2008/574927 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012618499
363 rdf:type schema:CreativeWork
364 https://doi.org/10.1270/jsbbs.60.524 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050094122
365 rdf:type schema:CreativeWork
366 https://doi.org/10.1534/genetics.104.034959 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025441450
367 rdf:type schema:CreativeWork
368 https://doi.org/10.1534/genetics.106.055871 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037911716
369 rdf:type schema:CreativeWork
370 https://doi.org/10.1534/genetics.106.067462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008711905
371 rdf:type schema:CreativeWork
372 https://doi.org/10.17660/actahortic.2001.546.27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068401531
373 rdf:type schema:CreativeWork
374 https://doi.org/10.17660/actahortic.2007.760.17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068415238
375 rdf:type schema:CreativeWork
376 https://doi.org/10.2307/2408641 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069917637
377 rdf:type schema:CreativeWork
378 https://doi.org/10.2307/2418325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069921872
379 rdf:type schema:CreativeWork
380 https://doi.org/10.2307/2418763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069922227
381 rdf:type schema:CreativeWork
382 https://doi.org/10.2307/2484763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102612753
383 rdf:type schema:CreativeWork
384 https://www.grid.ac/institutes/grid.419276.f schema:alternateName Instituto Valenciano de Investigaciones Agrarias
385 schema:name CIRAD, UMR AGAP, Avenue Agropolis, TA A-108/02, 34398, Montpellier, Cedex 5, France
386 Centro de Proteccion Vegetal y Biotechnologia, IVIA, Apartado Oficial, 46113, Moncada (Valencia), Spain
387 Centro de genomica, IVIA, Apartado Oficial, 46113, Moncada (Valencia), Spain
388 rdf:type schema:Organization
389 https://www.grid.ac/institutes/grid.8183.2 schema:alternateName Centre de Coopération Internationale en Recherche Agronomique pour le Développement
390 schema:name CIRAD, UMR AGAP, Avenue Agropolis, TA A-108/02, 34398, Montpellier, Cedex 5, France
391 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...