SSR-based molecular profiling of 237 persimmon (Diospyros kaki Thunb.) germplasms using an ASTRINGENCY-linked marker View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-04

AUTHORS

Noriyuki Onoue, Shozo Kobayashi, Atsushi Kono, Akihiko Sato

ABSTRACT

Pollination-constant non-astringent (PCNA) trait is desirable in persimmon production because it confers natural astringency loss in mature persimmon fruit. Expression of the PCNA trait requires six homozygous recessive PCNA (ast) alleles at the single ASTRINGENCY (AST) locus in hexaploid persimmon. When crossing non-PCNA accessions to breed PCNA offspring, knowledge of ast and non-PCNA (AST) allele dosage in the parental accessions is important, because more PCNA offspring can segregate from a non-PCNA parent with more ast and fewer AST alleles. Previously, we have demonstrated that a region linked to the AST locus has numerous fragment size polymorphisms with varying numbers of simple sequence repeats. Here, we reveal the polymorphisms in this region in a broad collection of persimmon germplasms. Among 237 accessions, we distinguished 21 AST- and 5 ast-linked fragments with different sizes. Based on the number of fragments detected per individual, we identified 21 non-PCNA accessions with three different ast alleles; by crossing these with a PCNA parent, we obtain PCNA offspring under autohexaploid inheritance. Furthermore, AST and ast allelic combination patterns in hexaploid persimmon were shown to be applicable to cultivar identification of non-PCNA accessions. We directly sequenced ast-linked fragments from 48 accessions with one-size peak of ast-linked fragment and found two distinctive groups of fragments based on single nucleotide polymorphisms. This result suggests that a bottleneck event occurred during ast allele development. We conclude that our fragment size profile can be used to accelerate PCNA breeding that uses non-PCNA parents and to study ast allele accumulation in persimmon. More... »

PAGES

28

References to SciGraph publications

  • 2016-05. Characterization of a highly polymorphic region closely linked to the AST locus and its potential use in breeding of hexaploid persimmon (Diospyros kaki Thunb.) in MOLECULAR BREEDING
  • 2012. Persimmon in FRUIT BREEDING
  • 2015-04. Relationships among Asian persimmon cultivars, astringent and non-astringent types in TREE GENETICS & GENOMES
  • 2000-02. An economic method for the fluorescent labeling of PCR fragments in NATURE BIOTECHNOLOGY
  • 2010-10. Analysis of genetic diversity among persimmon cultivars using microsatellite markers in TREE GENETICS & GENOMES
  • 2008-02. Relationship of European persimmon (Diospyros kaki Thunb.) cultivars to Asian cultivars, characterized using AFLPs in GENETIC RESOURCES AND CROP EVOLUTION
  • 2012-02. Fine genotyping of a highly polymorphic ASTRINGENCY-linked locus reveals variable hexasomic inheritance in persimmon (Diospyros kaki Thunb.) cultivars in TREE GENETICS & GENOMES
  • 2009-07. Quantitative real-time PCR to determine allele number for the astringency locus by analysis of a linked marker in Diospyros kaki Thunb in TREE GENETICS & GENOMES
  • 2003-09. Genetic diversity of introduced and local Spanish persimmon cultivars revealed by RAPD markers in GENETIC RESOURCES AND CROP EVOLUTION
  • 2009-01. Development of retrotransposon primers and their utilization for germplasm identification in Diospyros spp. (Ebenaceae) in TREE GENETICS & GENOMES
  • 2015-12. Pseudo-backcrossing design for rapidly pyramiding multiple traits into a preferential rice variety in RICE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11295-018-1239-z

    DOI

    http://dx.doi.org/10.1007/s11295-018-1239-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1101537126


    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": "National Agriculture and Food Research Organization", 
              "id": "https://www.grid.ac/institutes/grid.416835.d", 
              "name": [
                "Division of Grape and Persimmon Research, NARO Institute of Fruit Tree and Tea Science (NIFTS), National Agriculture and Food Research Organization (NARO), 301-2 Mitsu, Akitsu, Higashihiroshima, 739-2494, Hiroshima, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Onoue", 
            "givenName": "Noriyuki", 
            "id": "sg:person.0672073541.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0672073541.52"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Agriculture and Food Research Organization", 
              "id": "https://www.grid.ac/institutes/grid.416835.d", 
              "name": [
                "Division of Grape and Persimmon Research, NARO Institute of Fruit Tree and Tea Science (NIFTS), National Agriculture and Food Research Organization (NARO), 301-2 Mitsu, Akitsu, Higashihiroshima, 739-2494, Hiroshima, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kobayashi", 
            "givenName": "Shozo", 
            "id": "sg:person.0652065635.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652065635.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Agriculture and Food Research Organization", 
              "id": "https://www.grid.ac/institutes/grid.416835.d", 
              "name": [
                "Division of Grape and Persimmon Research, NARO Institute of Fruit Tree and Tea Science (NIFTS), National Agriculture and Food Research Organization (NARO), 301-2 Mitsu, Akitsu, Higashihiroshima, 739-2494, Hiroshima, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kono", 
            "givenName": "Atsushi", 
            "id": "sg:person.011757504335.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011757504335.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Agriculture and Food Research Organization", 
              "id": "https://www.grid.ac/institutes/grid.416835.d", 
              "name": [
                "Division of Grape and Persimmon Research, NARO Institute of Fruit Tree and Tea Science (NIFTS), National Agriculture and Food Research Organization (NARO), 301-2 Mitsu, Akitsu, Higashihiroshima, 739-2494, Hiroshima, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sato", 
            "givenName": "Akihiko", 
            "id": "sg:person.015716071341.74", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015716071341.74"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s11295-015-0848-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000397215", 
              "https://doi.org/10.1007/s11295-015-0848-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-015-0848-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000397215", 
              "https://doi.org/10.1007/s11295-015-0848-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2503/jjshs.69.665", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000520251"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2503/jjshs.59.289", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006489446"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.scienta.2005.01.020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010734319"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2503/jjshs1.77.28", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010859384"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0304-4238(01)00254-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013073380"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/jcm.02136-06", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014745973"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2503/jjshs.67.306", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015280052"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/9780470650172.ch6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016985465"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2503/jjshs.64.535", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019983713"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2503/jjshs.54.39", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022155942"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1471-8286.2006.01236.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023363249"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1471-8286.2006.01236.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023363249"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11032-016-0480-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025648116", 
              "https://doi.org/10.1007/s11032-016-0480-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2503/jjshs1.79.150", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028436862"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12284-014-0035-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032733372", 
              "https://doi.org/10.1186/s12284-014-0035-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12284-014-0035-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032733372", 
              "https://doi.org/10.1186/s12284-014-0035-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1270/jsbbs.66.60", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034330896"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-010-0283-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034948799", 
              "https://doi.org/10.1007/s11295-010-0283-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-010-0283-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034948799", 
              "https://doi.org/10.1007/s11295-010-0283-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-009-0202-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037094757", 
              "https://doi.org/10.1007/s11295-009-0202-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-009-0202-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037094757", 
              "https://doi.org/10.1007/s11295-009-0202-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-011-0432-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039146984", 
              "https://doi.org/10.1007/s11295-011-0432-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/72708", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040247990", 
              "https://doi.org/10.1038/72708"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/72708", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040247990", 
              "https://doi.org/10.1038/72708"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4419-0763-9_17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040542856", 
              "https://doi.org/10.1007/978-1-4419-0763-9_17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0168-9452(00)00425-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041080098"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.scienta.2014.03.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041263841"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1024474719036", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043426404", 
              "https://doi.org/10.1023/a:1024474719036"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10722-007-9216-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045859046", 
              "https://doi.org/10.1007/s10722-007-9216-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10722-007-9216-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045859046", 
              "https://doi.org/10.1007/s10722-007-9216-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-008-0182-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051234716", 
              "https://doi.org/10.1007/s11295-008-0182-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.17660/actahortic.1997.436.3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068394733"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.17660/actahortic.2005.685.6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068410515"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.17660/actahortic.2005.685.7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068410516"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4238/vol10-2gmr1100", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072396588"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1081643579", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2144/96206st01", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1082952930"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.17660/actahortic.2018.1195.15", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103528364"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.21273/hortsci.39.2.371", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111858442"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.21273/hortsci.41.3.561", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111860677"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.21273/hortsci.49.9.1132", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111864023"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.21273/jashs.119.6.1298", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111865571"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.21273/jashs.135.1.59", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111867580"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-04", 
        "datePublishedReg": "2018-04-01", 
        "description": "Pollination-constant non-astringent (PCNA) trait is desirable in persimmon production because it confers natural astringency loss in mature persimmon fruit. Expression of the PCNA trait requires six homozygous recessive PCNA (ast) alleles at the single ASTRINGENCY (AST) locus in hexaploid persimmon. When crossing non-PCNA accessions to breed PCNA offspring, knowledge of ast and non-PCNA (AST) allele dosage in the parental accessions is important, because more PCNA offspring can segregate from a non-PCNA parent with more ast and fewer AST alleles. Previously, we have demonstrated that a region linked to the AST locus has numerous fragment size polymorphisms with varying numbers of simple sequence repeats. Here, we reveal the polymorphisms in this region in a broad collection of persimmon germplasms. Among 237 accessions, we distinguished 21 AST- and 5 ast-linked fragments with different sizes. Based on the number of fragments detected per individual, we identified 21 non-PCNA accessions with three different ast alleles; by crossing these with a PCNA parent, we obtain PCNA offspring under autohexaploid inheritance. Furthermore, AST and ast allelic combination patterns in hexaploid persimmon were shown to be applicable to cultivar identification of non-PCNA accessions. We directly sequenced ast-linked fragments from 48 accessions with one-size peak of ast-linked fragment and found two distinctive groups of fragments based on single nucleotide polymorphisms. This result suggests that a bottleneck event occurred during ast allele development. We conclude that our fragment size profile can be used to accelerate PCNA breeding that uses non-PCNA parents and to study ast allele accumulation in persimmon.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s11295-018-1239-z", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1036007", 
            "issn": [
              "1614-2942", 
              "1614-2950"
            ], 
            "name": "Tree Genetics & Genomes", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "14"
          }
        ], 
        "name": "SSR-based molecular profiling of 237 persimmon (Diospyros kaki Thunb.) germplasms using an ASTRINGENCY-linked marker", 
        "pagination": "28", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "094ee4946ebff4ffd804698341c291a27296ba3b4328153f65f199d49a5a1542"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11295-018-1239-z"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1101537126"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11295-018-1239-z", 
          "https://app.dimensions.ai/details/publication/pub.1101537126"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T11:55", 
        "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/v90/0000000359_0000000359/records_29204_00000003.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs11295-018-1239-z"
      }
    ]
     

    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/s11295-018-1239-z'

    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/s11295-018-1239-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11295-018-1239-z'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11295-018-1239-z'


     

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

    206 TRIPLES      21 PREDICATES      65 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11295-018-1239-z schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author Nd3bd81f41f6641229069d0abae2e85b6
    4 schema:citation sg:pub.10.1007/978-1-4419-0763-9_17
    5 sg:pub.10.1007/s10722-007-9216-7
    6 sg:pub.10.1007/s11032-016-0480-0
    7 sg:pub.10.1007/s11295-008-0182-9
    8 sg:pub.10.1007/s11295-009-0202-4
    9 sg:pub.10.1007/s11295-010-0283-0
    10 sg:pub.10.1007/s11295-011-0432-0
    11 sg:pub.10.1007/s11295-015-0848-z
    12 sg:pub.10.1023/a:1024474719036
    13 sg:pub.10.1038/72708
    14 sg:pub.10.1186/s12284-014-0035-0
    15 https://app.dimensions.ai/details/publication/pub.1081643579
    16 https://doi.org/10.1002/9780470650172.ch6
    17 https://doi.org/10.1016/j.scienta.2005.01.020
    18 https://doi.org/10.1016/j.scienta.2014.03.001
    19 https://doi.org/10.1016/s0168-9452(00)00425-8
    20 https://doi.org/10.1016/s0304-4238(01)00254-0
    21 https://doi.org/10.1111/j.1471-8286.2006.01236.x
    22 https://doi.org/10.1128/jcm.02136-06
    23 https://doi.org/10.1270/jsbbs.66.60
    24 https://doi.org/10.17660/actahortic.1997.436.3
    25 https://doi.org/10.17660/actahortic.2005.685.6
    26 https://doi.org/10.17660/actahortic.2005.685.7
    27 https://doi.org/10.17660/actahortic.2018.1195.15
    28 https://doi.org/10.21273/hortsci.39.2.371
    29 https://doi.org/10.21273/hortsci.41.3.561
    30 https://doi.org/10.21273/hortsci.49.9.1132
    31 https://doi.org/10.21273/jashs.119.6.1298
    32 https://doi.org/10.21273/jashs.135.1.59
    33 https://doi.org/10.2144/96206st01
    34 https://doi.org/10.2503/jjshs.54.39
    35 https://doi.org/10.2503/jjshs.59.289
    36 https://doi.org/10.2503/jjshs.64.535
    37 https://doi.org/10.2503/jjshs.67.306
    38 https://doi.org/10.2503/jjshs.69.665
    39 https://doi.org/10.2503/jjshs1.77.28
    40 https://doi.org/10.2503/jjshs1.79.150
    41 https://doi.org/10.4238/vol10-2gmr1100
    42 schema:datePublished 2018-04
    43 schema:datePublishedReg 2018-04-01
    44 schema:description Pollination-constant non-astringent (PCNA) trait is desirable in persimmon production because it confers natural astringency loss in mature persimmon fruit. Expression of the PCNA trait requires six homozygous recessive PCNA (ast) alleles at the single ASTRINGENCY (AST) locus in hexaploid persimmon. When crossing non-PCNA accessions to breed PCNA offspring, knowledge of ast and non-PCNA (AST) allele dosage in the parental accessions is important, because more PCNA offspring can segregate from a non-PCNA parent with more ast and fewer AST alleles. Previously, we have demonstrated that a region linked to the AST locus has numerous fragment size polymorphisms with varying numbers of simple sequence repeats. Here, we reveal the polymorphisms in this region in a broad collection of persimmon germplasms. Among 237 accessions, we distinguished 21 AST- and 5 ast-linked fragments with different sizes. Based on the number of fragments detected per individual, we identified 21 non-PCNA accessions with three different ast alleles; by crossing these with a PCNA parent, we obtain PCNA offspring under autohexaploid inheritance. Furthermore, AST and ast allelic combination patterns in hexaploid persimmon were shown to be applicable to cultivar identification of non-PCNA accessions. We directly sequenced ast-linked fragments from 48 accessions with one-size peak of ast-linked fragment and found two distinctive groups of fragments based on single nucleotide polymorphisms. This result suggests that a bottleneck event occurred during ast allele development. We conclude that our fragment size profile can be used to accelerate PCNA breeding that uses non-PCNA parents and to study ast allele accumulation in persimmon.
    45 schema:genre research_article
    46 schema:inLanguage en
    47 schema:isAccessibleForFree false
    48 schema:isPartOf Nc70ed1b24e8648ecadda3fbbc2db0ead
    49 Nd4af1651e42a4068be094235ba530130
    50 sg:journal.1036007
    51 schema:name SSR-based molecular profiling of 237 persimmon (Diospyros kaki Thunb.) germplasms using an ASTRINGENCY-linked marker
    52 schema:pagination 28
    53 schema:productId N0116432afc6642b3b1bf1a4a5c1f81e2
    54 Nb491812780d7404c838b34ecdfea80a1
    55 Nd902788337dd4f8799490686ed09479e
    56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101537126
    57 https://doi.org/10.1007/s11295-018-1239-z
    58 schema:sdDatePublished 2019-04-11T11:55
    59 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    60 schema:sdPublisher Na6b665b53eda4996a256406c32a0f67e
    61 schema:url https://link.springer.com/10.1007%2Fs11295-018-1239-z
    62 sgo:license sg:explorer/license/
    63 sgo:sdDataset articles
    64 rdf:type schema:ScholarlyArticle
    65 N0116432afc6642b3b1bf1a4a5c1f81e2 schema:name doi
    66 schema:value 10.1007/s11295-018-1239-z
    67 rdf:type schema:PropertyValue
    68 N1209720e578341bfb1ed9409c31d13ed rdf:first sg:person.011757504335.39
    69 rdf:rest N370f9e7851924a45a166457c260edaef
    70 N370f9e7851924a45a166457c260edaef rdf:first sg:person.015716071341.74
    71 rdf:rest rdf:nil
    72 Na6b665b53eda4996a256406c32a0f67e schema:name Springer Nature - SN SciGraph project
    73 rdf:type schema:Organization
    74 Nb491812780d7404c838b34ecdfea80a1 schema:name dimensions_id
    75 schema:value pub.1101537126
    76 rdf:type schema:PropertyValue
    77 Nc70ed1b24e8648ecadda3fbbc2db0ead schema:issueNumber 2
    78 rdf:type schema:PublicationIssue
    79 Nc952c8d5ac21430e98b2a8632b82f0ae rdf:first sg:person.0652065635.18
    80 rdf:rest N1209720e578341bfb1ed9409c31d13ed
    81 Nd3bd81f41f6641229069d0abae2e85b6 rdf:first sg:person.0672073541.52
    82 rdf:rest Nc952c8d5ac21430e98b2a8632b82f0ae
    83 Nd4af1651e42a4068be094235ba530130 schema:volumeNumber 14
    84 rdf:type schema:PublicationVolume
    85 Nd902788337dd4f8799490686ed09479e schema:name readcube_id
    86 schema:value 094ee4946ebff4ffd804698341c291a27296ba3b4328153f65f199d49a5a1542
    87 rdf:type schema:PropertyValue
    88 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    89 schema:name Biological Sciences
    90 rdf:type schema:DefinedTerm
    91 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    92 schema:name Genetics
    93 rdf:type schema:DefinedTerm
    94 sg:journal.1036007 schema:issn 1614-2942
    95 1614-2950
    96 schema:name Tree Genetics & Genomes
    97 rdf:type schema:Periodical
    98 sg:person.011757504335.39 schema:affiliation https://www.grid.ac/institutes/grid.416835.d
    99 schema:familyName Kono
    100 schema:givenName Atsushi
    101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011757504335.39
    102 rdf:type schema:Person
    103 sg:person.015716071341.74 schema:affiliation https://www.grid.ac/institutes/grid.416835.d
    104 schema:familyName Sato
    105 schema:givenName Akihiko
    106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015716071341.74
    107 rdf:type schema:Person
    108 sg:person.0652065635.18 schema:affiliation https://www.grid.ac/institutes/grid.416835.d
    109 schema:familyName Kobayashi
    110 schema:givenName Shozo
    111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652065635.18
    112 rdf:type schema:Person
    113 sg:person.0672073541.52 schema:affiliation https://www.grid.ac/institutes/grid.416835.d
    114 schema:familyName Onoue
    115 schema:givenName Noriyuki
    116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0672073541.52
    117 rdf:type schema:Person
    118 sg:pub.10.1007/978-1-4419-0763-9_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040542856
    119 https://doi.org/10.1007/978-1-4419-0763-9_17
    120 rdf:type schema:CreativeWork
    121 sg:pub.10.1007/s10722-007-9216-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045859046
    122 https://doi.org/10.1007/s10722-007-9216-7
    123 rdf:type schema:CreativeWork
    124 sg:pub.10.1007/s11032-016-0480-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025648116
    125 https://doi.org/10.1007/s11032-016-0480-0
    126 rdf:type schema:CreativeWork
    127 sg:pub.10.1007/s11295-008-0182-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051234716
    128 https://doi.org/10.1007/s11295-008-0182-9
    129 rdf:type schema:CreativeWork
    130 sg:pub.10.1007/s11295-009-0202-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037094757
    131 https://doi.org/10.1007/s11295-009-0202-4
    132 rdf:type schema:CreativeWork
    133 sg:pub.10.1007/s11295-010-0283-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034948799
    134 https://doi.org/10.1007/s11295-010-0283-0
    135 rdf:type schema:CreativeWork
    136 sg:pub.10.1007/s11295-011-0432-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039146984
    137 https://doi.org/10.1007/s11295-011-0432-0
    138 rdf:type schema:CreativeWork
    139 sg:pub.10.1007/s11295-015-0848-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1000397215
    140 https://doi.org/10.1007/s11295-015-0848-z
    141 rdf:type schema:CreativeWork
    142 sg:pub.10.1023/a:1024474719036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043426404
    143 https://doi.org/10.1023/a:1024474719036
    144 rdf:type schema:CreativeWork
    145 sg:pub.10.1038/72708 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040247990
    146 https://doi.org/10.1038/72708
    147 rdf:type schema:CreativeWork
    148 sg:pub.10.1186/s12284-014-0035-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032733372
    149 https://doi.org/10.1186/s12284-014-0035-0
    150 rdf:type schema:CreativeWork
    151 https://app.dimensions.ai/details/publication/pub.1081643579 schema:CreativeWork
    152 https://doi.org/10.1002/9780470650172.ch6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016985465
    153 rdf:type schema:CreativeWork
    154 https://doi.org/10.1016/j.scienta.2005.01.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010734319
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.1016/j.scienta.2014.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041263841
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.1016/s0168-9452(00)00425-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041080098
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.1016/s0304-4238(01)00254-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013073380
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.1111/j.1471-8286.2006.01236.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023363249
    163 rdf:type schema:CreativeWork
    164 https://doi.org/10.1128/jcm.02136-06 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014745973
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1270/jsbbs.66.60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034330896
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.17660/actahortic.1997.436.3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068394733
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.17660/actahortic.2005.685.6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068410515
    171 rdf:type schema:CreativeWork
    172 https://doi.org/10.17660/actahortic.2005.685.7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068410516
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.17660/actahortic.2018.1195.15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103528364
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.21273/hortsci.39.2.371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111858442
    177 rdf:type schema:CreativeWork
    178 https://doi.org/10.21273/hortsci.41.3.561 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111860677
    179 rdf:type schema:CreativeWork
    180 https://doi.org/10.21273/hortsci.49.9.1132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111864023
    181 rdf:type schema:CreativeWork
    182 https://doi.org/10.21273/jashs.119.6.1298 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111865571
    183 rdf:type schema:CreativeWork
    184 https://doi.org/10.21273/jashs.135.1.59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111867580
    185 rdf:type schema:CreativeWork
    186 https://doi.org/10.2144/96206st01 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082952930
    187 rdf:type schema:CreativeWork
    188 https://doi.org/10.2503/jjshs.54.39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022155942
    189 rdf:type schema:CreativeWork
    190 https://doi.org/10.2503/jjshs.59.289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006489446
    191 rdf:type schema:CreativeWork
    192 https://doi.org/10.2503/jjshs.64.535 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019983713
    193 rdf:type schema:CreativeWork
    194 https://doi.org/10.2503/jjshs.67.306 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015280052
    195 rdf:type schema:CreativeWork
    196 https://doi.org/10.2503/jjshs.69.665 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000520251
    197 rdf:type schema:CreativeWork
    198 https://doi.org/10.2503/jjshs1.77.28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010859384
    199 rdf:type schema:CreativeWork
    200 https://doi.org/10.2503/jjshs1.79.150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028436862
    201 rdf:type schema:CreativeWork
    202 https://doi.org/10.4238/vol10-2gmr1100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072396588
    203 rdf:type schema:CreativeWork
    204 https://www.grid.ac/institutes/grid.416835.d schema:alternateName National Agriculture and Food Research Organization
    205 schema:name Division of Grape and Persimmon Research, NARO Institute of Fruit Tree and Tea Science (NIFTS), National Agriculture and Food Research Organization (NARO), 301-2 Mitsu, Akitsu, Higashihiroshima, 739-2494, Hiroshima, Japan
    206 rdf:type schema:Organization
     




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


    ...