In silico mapping of important genes and markers available in the public domain for efficient sorghum breeding View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-10

AUTHORS

P. Ramu, S. P. Deshpande, S. Senthilvel, B. Jayashree, C. Billot, M. Deu, L. Ananda Reddy, C. T. Hash

ABSTRACT

Crop genome sequencing projects generate massive amounts of genomic sequence information, and the utilization of this information in applied crop improvement programs has been augmented by the availability of sophisticated bioinformatics tools. Here, we present the possible direct utilization of sequence data from a sorghum genome sequencing project in applied crop breeding programs. Based on sequence homology, we aligned all publicly available simple sequence repeat markers on a sequence-based physical map for sorghum. Linking this physical map with already existing linkage map(s) provides better options for applied molecular breeding programs. When a new set of markers is made available, the new markers can be first aligned on a sequence-based physical map, and those located near the quantitative trait locus (QTL) can be identified from this map, thereby reducing the number of markers to be tested in order to identify polymorphic flanking markers for the QTL for any given donor × recurrent parent combination. Polymorphic markers that are expected (on the basis of their position on the sequence-based physical map) to be closely linked to the target can be used for foreground selection in marker-assisted breeding. This map facilitates the identification of a set of markers representing the entire genome, which would provide better resolution in diversity analyses and further linkage disequilibrium mapping. Filling the gaps in existing linkage maps and fine mapping can be achieved more efficiently by targeting the specific genomic regions of interest. It also opens up new exciting opportunities for comparative mapping and for the development of new genomic resources in related crops, both of which are lagging behind in the current genomic revolution. This paper also presents a number of examples of potential applications of sequence-based physical map for sorghum. More... »

PAGES

409-418

References to SciGraph publications

  • 2009-11. Exploiting rice–sorghum synteny for targeted development of EST-SSRs to enrich the sorghum genetic linkage map in THEORETICAL AND APPLIED GENETICS
  • 2005-08. The map-based sequence of the rice genome in NATURE
  • 2001-06. Molecular mapping of the rf1 gene for pollen fertility restoration in sorghum (Sorghum bicolor L.) in THEORETICAL AND APPLIED GENETICS
  • 2009-12. A consensus genetic map of sorghum that integrates multiple component maps and high-throughput Diversity Array Technology (DArT) markers in BMC PLANT BIOLOGY
  • 2004-09. Genomic regions influencing resistance to the parasitic weed Striga hermonthica in two recombinant inbred populations of sorghum in THEORETICAL AND APPLIED GENETICS
  • 2009-01. The Sorghum bicolor genome and the diversification of grasses in NATURE
  • 2002-11. Characterization of RFLP probe sequences for gene discovery and SSR development in Sorghum bicolor (L.) Moench in THEORETICAL AND APPLIED GENETICS
  • 2000-08. Characteristics, linkage-map positions, and allelic differentiation of Sorghum bicolor (L.) Moench DNA simple-sequence repeats (SSRs) in THEORETICAL AND APPLIED GENETICS
  • 2007-09. A gene in the multidrug and toxic compound extrusion (MATE) family confers aluminum tolerance in sorghum in NATURE GENETICS
  • 2000-06. Identification of genomic regions associated with stay green in sorghum by testing RILs in multiple environments in THEORETICAL AND APPLIED GENETICS
  • 2008-01. Molecular mapping of genomic regions harboring QTLs for stalk rot resistance in sorghum in EUPHYTICA
  • 2002-09. Construction of a combined sorghum linkage map from two recombinant inbred populations using AFLP, SSR, RFLP, and RAPD markers, and comparison with other sorghum maps in THEORETICAL AND APPLIED GENETICS
  • 1997-07. Characterization and mapping of simple sequence repeats (SSRs) in Sorghum bicolor in THEORETICAL AND APPLIED GENETICS
  • 1996-07. Multiple methods for the identification of polymorphic simple sequence repeats (SSRs) in sorghum [Sorghum bicolor (L.) Moench] in THEORETICAL AND APPLIED GENETICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11032-009-9365-9

    DOI

    http://dx.doi.org/10.1007/s11032-009-9365-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1022484911


    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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Osmania University", 
              "id": "https://www.grid.ac/institutes/grid.412419.b", 
              "name": [
                "M.S. Swaminathan Applied Genomics Lab (AGL), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru PO, 502324, Hyderabad, Andhra Pradesh, India", 
                "Department of Genetics, Osmania University, 500007, Hyderabad, Andhra Pradesh, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ramu", 
            "givenName": "P.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "International Crops Research Institute for the Semi-Arid Tropics", 
              "id": "https://www.grid.ac/institutes/grid.419337.b", 
              "name": [
                "M.S. Swaminathan Applied Genomics Lab (AGL), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru PO, 502324, Hyderabad, Andhra Pradesh, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Deshpande", 
            "givenName": "S. P.", 
            "id": "sg:person.0754011736.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754011736.07"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "International Crops Research Institute for the Semi-Arid Tropics", 
              "id": "https://www.grid.ac/institutes/grid.419337.b", 
              "name": [
                "M.S. Swaminathan Applied Genomics Lab (AGL), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru PO, 502324, Hyderabad, Andhra Pradesh, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Senthilvel", 
            "givenName": "S.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "International Crops Research Institute for the Semi-Arid Tropics", 
              "id": "https://www.grid.ac/institutes/grid.419337.b", 
              "name": [
                "M.S. Swaminathan Applied Genomics Lab (AGL), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru PO, 502324, Hyderabad, Andhra Pradesh, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jayashree", 
            "givenName": "B.", 
            "id": "sg:person.01064063117.12", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01064063117.12"
            ], 
            "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 DAP, TA, A-96/03, Av Agropolis, 34398, Montpellier Cedex 5, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Billot", 
            "givenName": "C.", 
            "id": "sg:person.01040334677.55", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040334677.55"
            ], 
            "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 DAP, TA, A-96/03, Av Agropolis, 34398, Montpellier Cedex 5, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Deu", 
            "givenName": "M.", 
            "id": "sg:person.01023335211.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023335211.07"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Osmania University", 
              "id": "https://www.grid.ac/institutes/grid.412419.b", 
              "name": [
                "Department of Genetics, Osmania University, 500007, Hyderabad, Andhra Pradesh, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ananda Reddy", 
            "givenName": "L.", 
            "id": "sg:person.01207621446.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207621446.25"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "International Crops Research Institute for the Semi-Arid Tropics", 
              "id": "https://www.grid.ac/institutes/grid.419337.b", 
              "name": [
                "M.S. Swaminathan Applied Genomics Lab (AGL), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru PO, 502324, Hyderabad, Andhra Pradesh, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hash", 
            "givenName": "C. T.", 
            "id": "sg:person.015735254017.99", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015735254017.99"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00122-002-0991-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002189865", 
              "https://doi.org/10.1007/s00122-002-0991-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-002-0991-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002189865", 
              "https://doi.org/10.1007/s00122-002-0991-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220050533", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002448710", 
              "https://doi.org/10.1007/s001220050533"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220050533", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002448710", 
              "https://doi.org/10.1007/s001220050533"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/dnares/dsp005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003115210"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/dnares/dsp005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003115210"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00225745", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005049105", 
              "https://doi.org/10.1007/bf00225745"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-9-13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006890812", 
              "https://doi.org/10.1186/1471-2229-9-13"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1153917", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007141891"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.107.107912", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007782876"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0022-2836(05)80360-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013618994"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5897/ajb2007.000-2374", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018237500"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07723", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020371055", 
              "https://doi.org/10.1038/nature07723"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.105.074203", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023156339"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-002-0900-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026152473", 
              "https://doi.org/10.1007/s00122-002-0900-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-002-0900-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026152473", 
              "https://doi.org/10.1007/s00122-002-0900-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.104.035980", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026440602"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.104.035980", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026440602"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051428", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032873567", 
              "https://doi.org/10.1007/s001220051428"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051428", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032873567", 
              "https://doi.org/10.1007/s001220051428"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng2074", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033108996", 
              "https://doi.org/10.1038/ng2074"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature03895", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034843726", 
              "https://doi.org/10.1038/nature03895"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature03895", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034843726", 
              "https://doi.org/10.1038/nature03895"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature03895", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034843726", 
              "https://doi.org/10.1038/nature03895"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jhered/93.1.77", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035613632"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10681-007-9472-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036698274", 
              "https://doi.org/10.1007/s10681-007-9472-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-009-1120-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037233606", 
              "https://doi.org/10.1007/s00122-009-1120-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-009-1120-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037233606", 
              "https://doi.org/10.1007/s00122-009-1120-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-009-1120-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037233606", 
              "https://doi.org/10.1007/s00122-009-1120-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220100575", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038146487", 
              "https://doi.org/10.1007/s001220100575"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220100575", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038146487", 
              "https://doi.org/10.1007/s001220100575"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-004-1706-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039710256", 
              "https://doi.org/10.1007/s00122-004-1706-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-004-1706-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039710256", 
              "https://doi.org/10.1007/s00122-004-1706-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/g06-133", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040739498"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051501", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044283573", 
              "https://doi.org/10.1007/s001220051501"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051501", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044283573", 
              "https://doi.org/10.1007/s001220051501"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.105.065136", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044783899"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/g00-074", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050952459"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/aob/mch003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051665587"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/gen-43-6-988", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062891700"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2135/cropsci2004.1898", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069028952"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2010-10", 
        "datePublishedReg": "2010-10-01", 
        "description": "Crop genome sequencing projects generate massive amounts of genomic sequence information, and the utilization of this information in applied crop improvement programs has been augmented by the availability of sophisticated bioinformatics tools. Here, we present the possible direct utilization of sequence data from a sorghum genome sequencing project in applied crop breeding programs. Based on sequence homology, we aligned all publicly available simple sequence repeat markers on a sequence-based physical map for sorghum. Linking this physical map with already existing linkage map(s) provides better options for applied molecular breeding programs. When a new set of markers is made available, the new markers can be first aligned on a sequence-based physical map, and those located near the quantitative trait locus (QTL) can be identified from this map, thereby reducing the number of markers to be tested in order to identify polymorphic flanking markers for the QTL for any given donor \u00d7 recurrent parent combination. Polymorphic markers that are expected (on the basis of their position on the sequence-based physical map) to be closely linked to the target can be used for foreground selection in marker-assisted breeding. This map facilitates the identification of a set of markers representing the entire genome, which would provide better resolution in diversity analyses and further linkage disequilibrium mapping. Filling the gaps in existing linkage maps and fine mapping can be achieved more efficiently by targeting the specific genomic regions of interest. It also opens up new exciting opportunities for comparative mapping and for the development of new genomic resources in related crops, both of which are lagging behind in the current genomic revolution. This paper also presents a number of examples of potential applications of sequence-based physical map for sorghum.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s11032-009-9365-9", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1114043", 
            "issn": [
              "1380-3743", 
              "1572-9788"
            ], 
            "name": "Molecular Breeding", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "26"
          }
        ], 
        "name": "In silico mapping of important genes and markers available in the public domain for efficient sorghum breeding", 
        "pagination": "409-418", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "6b1f897e745232c129535ed6af54d7e732ddad169cb79fbaadad6485c13997c9"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11032-009-9365-9"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1022484911"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11032-009-9365-9", 
          "https://app.dimensions.ai/details/publication/pub.1022484911"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T10:28", 
        "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/v90/0000000349_0000000349/records_113640_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs11032-009-9365-9"
      }
    ]
     

    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.10.1007/s11032-009-9365-9'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11032-009-9365-9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11032-009-9365-9'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11032-009-9365-9'


     

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

    213 TRIPLES      21 PREDICATES      55 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11032-009-9365-9 schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author Ndf3aae70d1014df1a574dea80eb59efd
    4 schema:citation sg:pub.10.1007/bf00225745
    5 sg:pub.10.1007/s00122-002-0900-x
    6 sg:pub.10.1007/s00122-002-0991-4
    7 sg:pub.10.1007/s00122-004-1706-9
    8 sg:pub.10.1007/s00122-009-1120-4
    9 sg:pub.10.1007/s001220050533
    10 sg:pub.10.1007/s001220051428
    11 sg:pub.10.1007/s001220051501
    12 sg:pub.10.1007/s001220100575
    13 sg:pub.10.1007/s10681-007-9472-9
    14 sg:pub.10.1038/nature03895
    15 sg:pub.10.1038/nature07723
    16 sg:pub.10.1038/ng2074
    17 sg:pub.10.1186/1471-2229-9-13
    18 https://doi.org/10.1016/s0022-2836(05)80360-2
    19 https://doi.org/10.1093/aob/mch003
    20 https://doi.org/10.1093/dnares/dsp005
    21 https://doi.org/10.1093/jhered/93.1.77
    22 https://doi.org/10.1104/pp.105.065136
    23 https://doi.org/10.1104/pp.105.074203
    24 https://doi.org/10.1104/pp.107.107912
    25 https://doi.org/10.1126/science.1153917
    26 https://doi.org/10.1139/g00-074
    27 https://doi.org/10.1139/g06-133
    28 https://doi.org/10.1139/gen-43-6-988
    29 https://doi.org/10.1534/genetics.104.035980
    30 https://doi.org/10.2135/cropsci2004.1898
    31 https://doi.org/10.5897/ajb2007.000-2374
    32 schema:datePublished 2010-10
    33 schema:datePublishedReg 2010-10-01
    34 schema:description Crop genome sequencing projects generate massive amounts of genomic sequence information, and the utilization of this information in applied crop improvement programs has been augmented by the availability of sophisticated bioinformatics tools. Here, we present the possible direct utilization of sequence data from a sorghum genome sequencing project in applied crop breeding programs. Based on sequence homology, we aligned all publicly available simple sequence repeat markers on a sequence-based physical map for sorghum. Linking this physical map with already existing linkage map(s) provides better options for applied molecular breeding programs. When a new set of markers is made available, the new markers can be first aligned on a sequence-based physical map, and those located near the quantitative trait locus (QTL) can be identified from this map, thereby reducing the number of markers to be tested in order to identify polymorphic flanking markers for the QTL for any given donor × recurrent parent combination. Polymorphic markers that are expected (on the basis of their position on the sequence-based physical map) to be closely linked to the target can be used for foreground selection in marker-assisted breeding. This map facilitates the identification of a set of markers representing the entire genome, which would provide better resolution in diversity analyses and further linkage disequilibrium mapping. Filling the gaps in existing linkage maps and fine mapping can be achieved more efficiently by targeting the specific genomic regions of interest. It also opens up new exciting opportunities for comparative mapping and for the development of new genomic resources in related crops, both of which are lagging behind in the current genomic revolution. This paper also presents a number of examples of potential applications of sequence-based physical map for sorghum.
    35 schema:genre research_article
    36 schema:inLanguage en
    37 schema:isAccessibleForFree false
    38 schema:isPartOf Ncd0dcd62667146c7b9a0ddd3a8194c7d
    39 Nfdc6783bfe144b3c8cd8072c12210880
    40 sg:journal.1114043
    41 schema:name In silico mapping of important genes and markers available in the public domain for efficient sorghum breeding
    42 schema:pagination 409-418
    43 schema:productId N01ba259ee37b42bcb7e22b877807c65e
    44 N266fa2de53b94c01b310aabecead07f7
    45 Nbe0caf0f9bd8466f9a8bf9f7b49ec2dc
    46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022484911
    47 https://doi.org/10.1007/s11032-009-9365-9
    48 schema:sdDatePublished 2019-04-11T10:28
    49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    50 schema:sdPublisher N9263294e2cdf44c0b31c76d44169f34d
    51 schema:url http://link.springer.com/10.1007%2Fs11032-009-9365-9
    52 sgo:license sg:explorer/license/
    53 sgo:sdDataset articles
    54 rdf:type schema:ScholarlyArticle
    55 N01ba259ee37b42bcb7e22b877807c65e schema:name doi
    56 schema:value 10.1007/s11032-009-9365-9
    57 rdf:type schema:PropertyValue
    58 N0fa7eec4b9894600b7bf0827870d3d6c rdf:first sg:person.01064063117.12
    59 rdf:rest Nbaf07b040b434a51865fd8c7714e0cec
    60 N1fb05859888241348a911e14d8c451b6 schema:affiliation https://www.grid.ac/institutes/grid.419337.b
    61 schema:familyName Senthilvel
    62 schema:givenName S.
    63 rdf:type schema:Person
    64 N266fa2de53b94c01b310aabecead07f7 schema:name readcube_id
    65 schema:value 6b1f897e745232c129535ed6af54d7e732ddad169cb79fbaadad6485c13997c9
    66 rdf:type schema:PropertyValue
    67 N27196a23b9f34f87876ab6697e5a4746 rdf:first sg:person.01023335211.07
    68 rdf:rest Ne93ee3070887468e86aefa439a275384
    69 N7227017a57da4d9ea3fee13d2326a152 rdf:first N1fb05859888241348a911e14d8c451b6
    70 rdf:rest N0fa7eec4b9894600b7bf0827870d3d6c
    71 N8998cd4f82d44522ab7904f1485fc1e0 schema:affiliation https://www.grid.ac/institutes/grid.412419.b
    72 schema:familyName Ramu
    73 schema:givenName P.
    74 rdf:type schema:Person
    75 N9263294e2cdf44c0b31c76d44169f34d schema:name Springer Nature - SN SciGraph project
    76 rdf:type schema:Organization
    77 N94b2564792c3448c9c6de2b95e2d6b22 rdf:first sg:person.0754011736.07
    78 rdf:rest N7227017a57da4d9ea3fee13d2326a152
    79 Nbaf07b040b434a51865fd8c7714e0cec rdf:first sg:person.01040334677.55
    80 rdf:rest N27196a23b9f34f87876ab6697e5a4746
    81 Nbe0caf0f9bd8466f9a8bf9f7b49ec2dc schema:name dimensions_id
    82 schema:value pub.1022484911
    83 rdf:type schema:PropertyValue
    84 Ncd0dcd62667146c7b9a0ddd3a8194c7d schema:volumeNumber 26
    85 rdf:type schema:PublicationVolume
    86 Ndf3aae70d1014df1a574dea80eb59efd rdf:first N8998cd4f82d44522ab7904f1485fc1e0
    87 rdf:rest N94b2564792c3448c9c6de2b95e2d6b22
    88 Ne41f5b38e65e4dc3a7ccb52a1e42011e rdf:first sg:person.015735254017.99
    89 rdf:rest rdf:nil
    90 Ne93ee3070887468e86aefa439a275384 rdf:first sg:person.01207621446.25
    91 rdf:rest Ne41f5b38e65e4dc3a7ccb52a1e42011e
    92 Nfdc6783bfe144b3c8cd8072c12210880 schema:issueNumber 3
    93 rdf:type schema:PublicationIssue
    94 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    95 schema:name Biological Sciences
    96 rdf:type schema:DefinedTerm
    97 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    98 schema:name Genetics
    99 rdf:type schema:DefinedTerm
    100 sg:journal.1114043 schema:issn 1380-3743
    101 1572-9788
    102 schema:name Molecular Breeding
    103 rdf:type schema:Periodical
    104 sg:person.01023335211.07 schema:affiliation https://www.grid.ac/institutes/grid.8183.2
    105 schema:familyName Deu
    106 schema:givenName M.
    107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023335211.07
    108 rdf:type schema:Person
    109 sg:person.01040334677.55 schema:affiliation https://www.grid.ac/institutes/grid.8183.2
    110 schema:familyName Billot
    111 schema:givenName C.
    112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040334677.55
    113 rdf:type schema:Person
    114 sg:person.01064063117.12 schema:affiliation https://www.grid.ac/institutes/grid.419337.b
    115 schema:familyName Jayashree
    116 schema:givenName B.
    117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01064063117.12
    118 rdf:type schema:Person
    119 sg:person.01207621446.25 schema:affiliation https://www.grid.ac/institutes/grid.412419.b
    120 schema:familyName Ananda Reddy
    121 schema:givenName L.
    122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207621446.25
    123 rdf:type schema:Person
    124 sg:person.015735254017.99 schema:affiliation https://www.grid.ac/institutes/grid.419337.b
    125 schema:familyName Hash
    126 schema:givenName C. T.
    127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015735254017.99
    128 rdf:type schema:Person
    129 sg:person.0754011736.07 schema:affiliation https://www.grid.ac/institutes/grid.419337.b
    130 schema:familyName Deshpande
    131 schema:givenName S. P.
    132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754011736.07
    133 rdf:type schema:Person
    134 sg:pub.10.1007/bf00225745 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005049105
    135 https://doi.org/10.1007/bf00225745
    136 rdf:type schema:CreativeWork
    137 sg:pub.10.1007/s00122-002-0900-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1026152473
    138 https://doi.org/10.1007/s00122-002-0900-x
    139 rdf:type schema:CreativeWork
    140 sg:pub.10.1007/s00122-002-0991-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002189865
    141 https://doi.org/10.1007/s00122-002-0991-4
    142 rdf:type schema:CreativeWork
    143 sg:pub.10.1007/s00122-004-1706-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039710256
    144 https://doi.org/10.1007/s00122-004-1706-9
    145 rdf:type schema:CreativeWork
    146 sg:pub.10.1007/s00122-009-1120-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037233606
    147 https://doi.org/10.1007/s00122-009-1120-4
    148 rdf:type schema:CreativeWork
    149 sg:pub.10.1007/s001220050533 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002448710
    150 https://doi.org/10.1007/s001220050533
    151 rdf:type schema:CreativeWork
    152 sg:pub.10.1007/s001220051428 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032873567
    153 https://doi.org/10.1007/s001220051428
    154 rdf:type schema:CreativeWork
    155 sg:pub.10.1007/s001220051501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044283573
    156 https://doi.org/10.1007/s001220051501
    157 rdf:type schema:CreativeWork
    158 sg:pub.10.1007/s001220100575 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038146487
    159 https://doi.org/10.1007/s001220100575
    160 rdf:type schema:CreativeWork
    161 sg:pub.10.1007/s10681-007-9472-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036698274
    162 https://doi.org/10.1007/s10681-007-9472-9
    163 rdf:type schema:CreativeWork
    164 sg:pub.10.1038/nature03895 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034843726
    165 https://doi.org/10.1038/nature03895
    166 rdf:type schema:CreativeWork
    167 sg:pub.10.1038/nature07723 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020371055
    168 https://doi.org/10.1038/nature07723
    169 rdf:type schema:CreativeWork
    170 sg:pub.10.1038/ng2074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033108996
    171 https://doi.org/10.1038/ng2074
    172 rdf:type schema:CreativeWork
    173 sg:pub.10.1186/1471-2229-9-13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006890812
    174 https://doi.org/10.1186/1471-2229-9-13
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.1016/s0022-2836(05)80360-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013618994
    177 rdf:type schema:CreativeWork
    178 https://doi.org/10.1093/aob/mch003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051665587
    179 rdf:type schema:CreativeWork
    180 https://doi.org/10.1093/dnares/dsp005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003115210
    181 rdf:type schema:CreativeWork
    182 https://doi.org/10.1093/jhered/93.1.77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035613632
    183 rdf:type schema:CreativeWork
    184 https://doi.org/10.1104/pp.105.065136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044783899
    185 rdf:type schema:CreativeWork
    186 https://doi.org/10.1104/pp.105.074203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023156339
    187 rdf:type schema:CreativeWork
    188 https://doi.org/10.1104/pp.107.107912 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007782876
    189 rdf:type schema:CreativeWork
    190 https://doi.org/10.1126/science.1153917 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007141891
    191 rdf:type schema:CreativeWork
    192 https://doi.org/10.1139/g00-074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050952459
    193 rdf:type schema:CreativeWork
    194 https://doi.org/10.1139/g06-133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040739498
    195 rdf:type schema:CreativeWork
    196 https://doi.org/10.1139/gen-43-6-988 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062891700
    197 rdf:type schema:CreativeWork
    198 https://doi.org/10.1534/genetics.104.035980 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026440602
    199 rdf:type schema:CreativeWork
    200 https://doi.org/10.2135/cropsci2004.1898 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069028952
    201 rdf:type schema:CreativeWork
    202 https://doi.org/10.5897/ajb2007.000-2374 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018237500
    203 rdf:type schema:CreativeWork
    204 https://www.grid.ac/institutes/grid.412419.b schema:alternateName Osmania University
    205 schema:name Department of Genetics, Osmania University, 500007, Hyderabad, Andhra Pradesh, India
    206 M.S. Swaminathan Applied Genomics Lab (AGL), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru PO, 502324, Hyderabad, Andhra Pradesh, India
    207 rdf:type schema:Organization
    208 https://www.grid.ac/institutes/grid.419337.b schema:alternateName International Crops Research Institute for the Semi-Arid Tropics
    209 schema:name M.S. Swaminathan Applied Genomics Lab (AGL), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru PO, 502324, Hyderabad, Andhra Pradesh, India
    210 rdf:type schema:Organization
    211 https://www.grid.ac/institutes/grid.8183.2 schema:alternateName Centre de Coopération Internationale en Recherche Agronomique pour le Développement
    212 schema:name CIRAD, UMR DAP, TA, A-96/03, Av Agropolis, 34398, Montpellier Cedex 5, France
    213 rdf:type schema:Organization
     




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


    ...