Classification of tea (Camellia sinensis) landraces and cultivars in Kyoto, Japan and other regions, based on simple sequence repeat markers ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Nakao Kubo, Yutaka Mimura, Tomohiro Matsuda, Atsushi J. Nagano, Nobuhiro Hirai, Shigekazu Higashimoto, Hiromi Yoshida, Norihiro Uemura, Takao Fujii

ABSTRACT

The tea plant (Camellia sinensis (L.) Kuntze) of Japan is now thought to have originated in China. Actual cultivation of tea plants presumably started in Kyoto, and then spread to other regions of Japan. Tea gardens used to be composed of heterogenic, seed-derived populations—landraces—selected for climatic preferences and cultivation methods. Cultivars were bred from landraces in the modern era. A number of landraces remain in Kyoto Prefecture. However, little is known about their genetic characteristics compared with other landraces. We investigated the relationships of tea landraces and cultivars from Kyoto Prefecture and other regions. A neighbor-joining phylogram was constructed from 113 lines including 68 landraces, 44 cultivars, and one wild relative, based on simple sequence repeat markers. The lines could be classified into four groups (I–IV). In group I, most of the Kyoto landraces were close to other Japanese landraces, supporting the idea of the spread of tea plants from Kyoto to other regions in the country. The remaining lines were included into groups III and IV, apart from group II, which contained Shizuoka lines. Similar results were observed by restriction site-associated DNA sequencing analysis using 44 cultivars. Our data provide valuable information for the classification of tea lines, especially for the relationships of Kyoto lines among Japanese tea varieties. More... »

PAGES

1-11

References to SciGraph publications

  • 2012. Japanese Tea Breeding History and the Future Perspective in GLOBAL TEA BREEDING
  • 2014-12. Worldwide core collections of tea (Camellia sinensis) based on SSR markers in TREE GENETICS & GENOMES
  • 2016-12. An efficient identification strategy of clonal tea cultivars using long-core motif SSR markers in SPRINGERPLUS
  • 2003-12. Genetic diversity within cultivated teas based on nucleotide sequence comparison of ribosomal RNA maturase in chloroplast DNA in EUPHYTICA
  • 2013-06. De Novo Characterization of Leaf Transcriptome Using 454 Sequencing and Development of EST-SSR Markers in Tea (Camellia sinensis) in PLANT MOLECULAR BIOLOGY REPORTER
  • 2008-10. Generation and characterization of 24 novel EST derived microsatellites from tea plant (Camellia sinensis) and cross-species amplification in its closely related species and varieties in CONSERVATION GENETICS
  • 1983-03. Accuracy of estimated phylogenetic trees from molecular data in JOURNAL OF MOLECULAR EVOLUTION
  • 2016-02. Harnessing the power of RADseq for ecological and evolutionary genomics in NATURE REVIEWS GENETICS
  • 2012-02. Diversity distribution and population structure of tea germplasms in China revealed by EST-SSR markers in TREE GENETICS & GENOMES
  • 2012-06. STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method in CONSERVATION GENETICS RESOURCES
  • 2002-05. Differentiation of Japanese green tea cultivars as revealed by RFLP analysis of phenylalanine ammonia-lyase DNA in THEORETICAL AND APPLIED GENETICS
  • 2012. Germplasm and Breeding Research of Tea Plant Based on DNA Marker Approaches in GLOBAL TEA BREEDING
  • 2016-06. Genetic variation and population demography of the landrace population of Camellia sinensis in Kasuga, Gifu Prefecture, Japan in GENETIC RESOURCES AND CROP EVOLUTION
  • 2017-06. Development and characterization of simple sequence repeat markers for genetic analyses of Sargassum horneri (Sargassaceae, Phaeophyta) populations in Kyoto, Japan in JOURNAL OF APPLIED PHYCOLOGY
  • 2008-11. Microsatellite variability within and among local landrace populations of tea, Camellia sinensis (L.) O. Kuntze, in Kyoto, Japan in GENETIC RESOURCES AND CROP EVOLUTION
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10722-018-0722-6

    DOI

    http://dx.doi.org/10.1007/s10722-018-0722-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1109922222


    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": "Kyoto Prefectural University", 
              "id": "https://www.grid.ac/institutes/grid.258797.6", 
              "name": [
                "Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, 1-5 Hangi-cho, Shimogamo, 606-8522, Sakyo-ku, Kyoto, Japan", 
                "Biotechnology Research Department, Kyoto Prefectural Agriculture, Forestry and Fisheries Technology Center, 619-0244, Soraku-gun, Kyoto, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kubo", 
            "givenName": "Nakao", 
            "id": "sg:person.013140244621.69", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013140244621.69"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Biotechnology Research Department, Kyoto Prefectural Agriculture, Forestry and Fisheries Technology Center, 619-0244, Soraku-gun, Kyoto, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mimura", 
            "givenName": "Yutaka", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Tea Industry Research Division, Agriculture and Forestry Technology Department, Kyoto Prefectural Agriculture, Forestry and Fisheries Technology Center, 611-0022, Uji, Kyoto, Japan", 
                "Department of Agriculture, Forestry and Fisheries, Kyoto Prefectural Office, Kamigyo-ku, 602-8570, Kyoto, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Matsuda", 
            "givenName": "Tomohiro", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ryukoku University", 
              "id": "https://www.grid.ac/institutes/grid.440926.d", 
              "name": [
                "Faculty of Agriculture, Ryukoku University, 520-2194, Ohtsu, Shiga, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nagano", 
            "givenName": "Atsushi J.", 
            "id": "sg:person.01237051463.54", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237051463.54"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Kyoto University", 
              "id": "https://www.grid.ac/institutes/grid.258799.8", 
              "name": [
                "Graduate School of Agriculture, Kyoto University, Sakyo-ku, 606-8502, Kyoto, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hirai", 
            "givenName": "Nobuhiro", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Rural Development Division, Wazuka Town Hall, 619-1295, Soraku-gun, Kyoto, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Higashimoto", 
            "givenName": "Shigekazu", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Systematic Horticulture Course, Kyoto Prefectural Kizu High School, 619-0214, Kizugawa, Kyoto, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yoshida", 
            "givenName": "Hiromi", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "CHA Experience Park, Fukujuen Co., Ltd., 619-0223, Kizugawa, Kyoto, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Uemura", 
            "givenName": "Norihiro", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Kyoto Gakuen University", 
              "id": "https://www.grid.ac/institutes/grid.440905.c", 
              "name": [
                "Faculty of Bioenvironmental Science, Kyoto Gakuen University, 621-8555, Kameoka, Kyoto, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fujii", 
            "givenName": "Takao", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1111/j.1755-0998.2009.02591.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001719382"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-0998.2009.02591.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001719382"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.scienta.2011.10.029", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006698476"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10592-007-9476-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009325181", 
              "https://doi.org/10.1007/s10592-007-9476-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10592-007-9476-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009325181", 
              "https://doi.org/10.1007/s10592-007-9476-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3732/apps.1500025", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010113015"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/mec.12354", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011474911"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3732/ajb.1000525", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012621442"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12686-011-9548-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014160842", 
              "https://doi.org/10.1007/s12686-011-9548-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02300753", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015443395", 
              "https://doi.org/10.1007/bf02300753"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02300753", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015443395", 
              "https://doi.org/10.1007/bf02300753"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-31878-8_6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018301032", 
              "https://doi.org/10.1007/978-3-642-31878-8_6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/b:euph.0000004970.39267.02", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018572910", 
              "https://doi.org/10.1023/b:euph.0000004970.39267.02"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/1755-0998.12387", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019918862"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1271/bbb.80248", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022136742"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10722-008-9311-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022776983", 
              "https://doi.org/10.1007/s10722-008-9311-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10811-016-1041-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022962347", 
              "https://doi.org/10.1007/s10811-016-1041-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10811-016-1041-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022962347", 
              "https://doi.org/10.1007/s10811-016-1041-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-31878-8_14", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023737202", 
              "https://doi.org/10.1007/978-3-642-31878-8_14"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-014-0779-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023766348", 
              "https://doi.org/10.1007/s11295-014-0779-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1270/jsbbs.54.231", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024448902"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0081611", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025724820"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-001-0806-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026228840", 
              "https://doi.org/10.1007/s00122-001-0806-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-001-0806-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026228840", 
              "https://doi.org/10.1007/s00122-001-0806-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-011-0433-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027477573", 
              "https://doi.org/10.1007/s11295-011-0433-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1270/jsbbs.16059", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027938194"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3732/ajb.1000376", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029922174"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10722-015-0286-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032394006", 
              "https://doi.org/10.1007/s10722-015-0286-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40064-016-2835-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032463844", 
              "https://doi.org/10.1186/s40064-016-2835-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40064-016-2835-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032463844", 
              "https://doi.org/10.1186/s40064-016-2835-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btu170", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042720804"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11105-012-0519-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045094584", 
              "https://doi.org/10.1007/s11105-012-0519-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-294x.2005.02553.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045105386"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-294x.2005.02553.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045105386"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/sysbio/syq010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046004748"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.aquabot.2008.06.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047905250"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg.2015.28", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049142423", 
              "https://doi.org/10.1038/nrg.2015.28"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1439-0523.2007.01448.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050853866"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1270/jsbbs.62.263", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052779525"
            ], 
            "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/10.1016/j.molp.2017.04.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085110286"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1719622115", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103489248"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1719622115", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103489248"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-02", 
        "datePublishedReg": "2019-02-01", 
        "description": "The tea plant (Camellia sinensis (L.) Kuntze) of Japan is now thought to have originated in China. Actual cultivation of tea plants presumably started in Kyoto, and then spread to other regions of Japan. Tea gardens used to be composed of heterogenic, seed-derived populations\u2014landraces\u2014selected for climatic preferences and cultivation methods. Cultivars were bred from landraces in the modern era. A number of landraces remain in Kyoto Prefecture. However, little is known about their genetic characteristics compared with other landraces. We investigated the relationships of tea landraces and cultivars from Kyoto Prefecture and other regions. A neighbor-joining phylogram was constructed from 113 lines including 68 landraces, 44 cultivars, and one wild relative, based on simple sequence repeat markers. The lines could be classified into four groups (I\u2013IV). In group I, most of the Kyoto landraces were close to other Japanese landraces, supporting the idea of the spread of tea plants from Kyoto to other regions in the country. The remaining lines were included into groups III and IV, apart from group II, which contained Shizuoka lines. Similar results were observed by restriction site-associated DNA sequencing analysis using 44 cultivars. Our data provide valuable information for the classification of tea lines, especially for the relationships of Kyoto lines among Japanese tea varieties.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10722-018-0722-6", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1023035", 
            "issn": [
              "0925-9864", 
              "1573-5109"
            ], 
            "name": "Genetic Resources and Crop Evolution", 
            "type": "Periodical"
          }
        ], 
        "name": "Classification of tea (Camellia sinensis) landraces and cultivars in Kyoto, Japan and other regions, based on simple sequence repeat markers and restriction site-associated DNA sequencing analysis", 
        "pagination": "1-11", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "6cabb202176409e86fd0fc39b93ba61b1968b1c5d7f7a375541219f7cb5a7be4"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10722-018-0722-6"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1109922222"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10722-018-0722-6", 
          "https://app.dimensions.ai/details/publication/pub.1109922222"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T08:08", 
        "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/v90/0000000265_0000000265/records_67393_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs10722-018-0722-6"
      }
    ]
     

    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/s10722-018-0722-6'

    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/s10722-018-0722-6'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10722-018-0722-6'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10722-018-0722-6'


     

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

    245 TRIPLES      21 PREDICATES      60 URIs      17 LITERALS      5 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10722-018-0722-6 schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author N3778b45e31d5488889e479bf28d22da9
    4 schema:citation sg:pub.10.1007/978-3-642-31878-8_14
    5 sg:pub.10.1007/978-3-642-31878-8_6
    6 sg:pub.10.1007/bf02300753
    7 sg:pub.10.1007/s00122-001-0806-z
    8 sg:pub.10.1007/s10592-007-9476-y
    9 sg:pub.10.1007/s10722-008-9311-4
    10 sg:pub.10.1007/s10722-015-0286-7
    11 sg:pub.10.1007/s10811-016-1041-y
    12 sg:pub.10.1007/s11105-012-0519-2
    13 sg:pub.10.1007/s11295-011-0433-z
    14 sg:pub.10.1007/s11295-014-0779-0
    15 sg:pub.10.1007/s12686-011-9548-7
    16 sg:pub.10.1023/b:euph.0000004970.39267.02
    17 sg:pub.10.1038/nrg.2015.28
    18 sg:pub.10.1186/s40064-016-2835-8
    19 https://doi.org/10.1016/j.aquabot.2008.06.006
    20 https://doi.org/10.1016/j.molp.2017.04.002
    21 https://doi.org/10.1016/j.scienta.2011.10.029
    22 https://doi.org/10.1073/pnas.1719622115
    23 https://doi.org/10.1093/bioinformatics/btu170
    24 https://doi.org/10.1093/oxfordjournals.molbev.a040454
    25 https://doi.org/10.1093/sysbio/syq010
    26 https://doi.org/10.1111/1755-0998.12387
    27 https://doi.org/10.1111/j.1365-294x.2005.02553.x
    28 https://doi.org/10.1111/j.1439-0523.2007.01448.x
    29 https://doi.org/10.1111/j.1755-0998.2009.02591.x
    30 https://doi.org/10.1111/mec.12354
    31 https://doi.org/10.1270/jsbbs.16059
    32 https://doi.org/10.1270/jsbbs.54.231
    33 https://doi.org/10.1270/jsbbs.62.263
    34 https://doi.org/10.1271/bbb.80248
    35 https://doi.org/10.1371/journal.pone.0081611
    36 https://doi.org/10.3732/ajb.1000376
    37 https://doi.org/10.3732/ajb.1000525
    38 https://doi.org/10.3732/apps.1500025
    39 schema:datePublished 2019-02
    40 schema:datePublishedReg 2019-02-01
    41 schema:description The tea plant (Camellia sinensis (L.) Kuntze) of Japan is now thought to have originated in China. Actual cultivation of tea plants presumably started in Kyoto, and then spread to other regions of Japan. Tea gardens used to be composed of heterogenic, seed-derived populations—landraces—selected for climatic preferences and cultivation methods. Cultivars were bred from landraces in the modern era. A number of landraces remain in Kyoto Prefecture. However, little is known about their genetic characteristics compared with other landraces. We investigated the relationships of tea landraces and cultivars from Kyoto Prefecture and other regions. A neighbor-joining phylogram was constructed from 113 lines including 68 landraces, 44 cultivars, and one wild relative, based on simple sequence repeat markers. The lines could be classified into four groups (I–IV). In group I, most of the Kyoto landraces were close to other Japanese landraces, supporting the idea of the spread of tea plants from Kyoto to other regions in the country. The remaining lines were included into groups III and IV, apart from group II, which contained Shizuoka lines. Similar results were observed by restriction site-associated DNA sequencing analysis using 44 cultivars. Our data provide valuable information for the classification of tea lines, especially for the relationships of Kyoto lines among Japanese tea varieties.
    42 schema:genre research_article
    43 schema:inLanguage en
    44 schema:isAccessibleForFree false
    45 schema:isPartOf sg:journal.1023035
    46 schema:name Classification of tea (Camellia sinensis) landraces and cultivars in Kyoto, Japan and other regions, based on simple sequence repeat markers and restriction site-associated DNA sequencing analysis
    47 schema:pagination 1-11
    48 schema:productId N7915d11013e4439a9b002a3416b175cc
    49 Ndccd8105da3f47a6bd814027e13a387e
    50 Ne8243886baf44e95b4a6a33ade6c7120
    51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109922222
    52 https://doi.org/10.1007/s10722-018-0722-6
    53 schema:sdDatePublished 2019-04-11T08:08
    54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    55 schema:sdPublisher N5451b8901d2f44f0b173c7c472c8fa66
    56 schema:url https://link.springer.com/10.1007%2Fs10722-018-0722-6
    57 sgo:license sg:explorer/license/
    58 sgo:sdDataset articles
    59 rdf:type schema:ScholarlyArticle
    60 N05f014d87353454da20481f3c86b8753 rdf:first sg:person.01237051463.54
    61 rdf:rest Nd15f14a118a445c3a98cc66a15ad1afa
    62 N0b947f063adc48ae97232cf7c67ad60b rdf:first N981f587adafe47cd8d7f97e8bc837c51
    63 rdf:rest N3074bf40da74479e8353668316a8c89d
    64 N1028835430c84ce58c3509daf1a119de schema:name CHA Experience Park, Fukujuen Co., Ltd., 619-0223, Kizugawa, Kyoto, Japan
    65 rdf:type schema:Organization
    66 N20f2bd436e124cf2a35a5e9ca937b29c schema:name Systematic Horticulture Course, Kyoto Prefectural Kizu High School, 619-0214, Kizugawa, Kyoto, Japan
    67 rdf:type schema:Organization
    68 N28d46c05012945349df8e993f53a69fd schema:affiliation https://www.grid.ac/institutes/grid.440905.c
    69 schema:familyName Fujii
    70 schema:givenName Takao
    71 rdf:type schema:Person
    72 N3074bf40da74479e8353668316a8c89d rdf:first Ne42f179e2d574198a69572eae5a68a0c
    73 rdf:rest N05f014d87353454da20481f3c86b8753
    74 N36b5211d52644952bf421f0db47b995f schema:name Department of Agriculture, Forestry and Fisheries, Kyoto Prefectural Office, Kamigyo-ku, 602-8570, Kyoto, Japan
    75 Tea Industry Research Division, Agriculture and Forestry Technology Department, Kyoto Prefectural Agriculture, Forestry and Fisheries Technology Center, 611-0022, Uji, Kyoto, Japan
    76 rdf:type schema:Organization
    77 N3778b45e31d5488889e479bf28d22da9 rdf:first sg:person.013140244621.69
    78 rdf:rest N0b947f063adc48ae97232cf7c67ad60b
    79 N4e14213b8f834f38b2d2bde6a3691f51 schema:affiliation Nb0e4831e026a4734bd8fe07dbd3233ee
    80 schema:familyName Higashimoto
    81 schema:givenName Shigekazu
    82 rdf:type schema:Person
    83 N51bd491d623c48bea14bc49eb9cf37dd rdf:first Nc4916946666e4f3ea8f2bf1f83d78a2c
    84 rdf:rest Nb3b35838a1e8462285acb7d2d07c46a5
    85 N5451b8901d2f44f0b173c7c472c8fa66 schema:name Springer Nature - SN SciGraph project
    86 rdf:type schema:Organization
    87 N612731d2e63441fd90044dbef99f1943 rdf:first Nb448b175775f4ff184ab0ea0e96f89a6
    88 rdf:rest N51bd491d623c48bea14bc49eb9cf37dd
    89 N7915d11013e4439a9b002a3416b175cc schema:name readcube_id
    90 schema:value 6cabb202176409e86fd0fc39b93ba61b1968b1c5d7f7a375541219f7cb5a7be4
    91 rdf:type schema:PropertyValue
    92 N81eaff3a31034a46aefb4aa14af41e1a schema:affiliation https://www.grid.ac/institutes/grid.258799.8
    93 schema:familyName Hirai
    94 schema:givenName Nobuhiro
    95 rdf:type schema:Person
    96 N915df852137145cda4befc4c8df97510 schema:name Biotechnology Research Department, Kyoto Prefectural Agriculture, Forestry and Fisheries Technology Center, 619-0244, Soraku-gun, Kyoto, Japan
    97 rdf:type schema:Organization
    98 N981f587adafe47cd8d7f97e8bc837c51 schema:affiliation N915df852137145cda4befc4c8df97510
    99 schema:familyName Mimura
    100 schema:givenName Yutaka
    101 rdf:type schema:Person
    102 Nb0e4831e026a4734bd8fe07dbd3233ee schema:name Rural Development Division, Wazuka Town Hall, 619-1295, Soraku-gun, Kyoto, Japan
    103 rdf:type schema:Organization
    104 Nb3b35838a1e8462285acb7d2d07c46a5 rdf:first N28d46c05012945349df8e993f53a69fd
    105 rdf:rest rdf:nil
    106 Nb448b175775f4ff184ab0ea0e96f89a6 schema:affiliation N20f2bd436e124cf2a35a5e9ca937b29c
    107 schema:familyName Yoshida
    108 schema:givenName Hiromi
    109 rdf:type schema:Person
    110 Nc4916946666e4f3ea8f2bf1f83d78a2c schema:affiliation N1028835430c84ce58c3509daf1a119de
    111 schema:familyName Uemura
    112 schema:givenName Norihiro
    113 rdf:type schema:Person
    114 Nd15f14a118a445c3a98cc66a15ad1afa rdf:first N81eaff3a31034a46aefb4aa14af41e1a
    115 rdf:rest Nd5bc4ff047124c1ba4208a5e917d3a41
    116 Nd5bc4ff047124c1ba4208a5e917d3a41 rdf:first N4e14213b8f834f38b2d2bde6a3691f51
    117 rdf:rest N612731d2e63441fd90044dbef99f1943
    118 Ndccd8105da3f47a6bd814027e13a387e schema:name dimensions_id
    119 schema:value pub.1109922222
    120 rdf:type schema:PropertyValue
    121 Ne42f179e2d574198a69572eae5a68a0c schema:affiliation N36b5211d52644952bf421f0db47b995f
    122 schema:familyName Matsuda
    123 schema:givenName Tomohiro
    124 rdf:type schema:Person
    125 Ne8243886baf44e95b4a6a33ade6c7120 schema:name doi
    126 schema:value 10.1007/s10722-018-0722-6
    127 rdf:type schema:PropertyValue
    128 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    129 schema:name Biological Sciences
    130 rdf:type schema:DefinedTerm
    131 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    132 schema:name Genetics
    133 rdf:type schema:DefinedTerm
    134 sg:journal.1023035 schema:issn 0925-9864
    135 1573-5109
    136 schema:name Genetic Resources and Crop Evolution
    137 rdf:type schema:Periodical
    138 sg:person.01237051463.54 schema:affiliation https://www.grid.ac/institutes/grid.440926.d
    139 schema:familyName Nagano
    140 schema:givenName Atsushi J.
    141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237051463.54
    142 rdf:type schema:Person
    143 sg:person.013140244621.69 schema:affiliation https://www.grid.ac/institutes/grid.258797.6
    144 schema:familyName Kubo
    145 schema:givenName Nakao
    146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013140244621.69
    147 rdf:type schema:Person
    148 sg:pub.10.1007/978-3-642-31878-8_14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023737202
    149 https://doi.org/10.1007/978-3-642-31878-8_14
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1007/978-3-642-31878-8_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018301032
    152 https://doi.org/10.1007/978-3-642-31878-8_6
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1007/bf02300753 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015443395
    155 https://doi.org/10.1007/bf02300753
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1007/s00122-001-0806-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1026228840
    158 https://doi.org/10.1007/s00122-001-0806-z
    159 rdf:type schema:CreativeWork
    160 sg:pub.10.1007/s10592-007-9476-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1009325181
    161 https://doi.org/10.1007/s10592-007-9476-y
    162 rdf:type schema:CreativeWork
    163 sg:pub.10.1007/s10722-008-9311-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022776983
    164 https://doi.org/10.1007/s10722-008-9311-4
    165 rdf:type schema:CreativeWork
    166 sg:pub.10.1007/s10722-015-0286-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032394006
    167 https://doi.org/10.1007/s10722-015-0286-7
    168 rdf:type schema:CreativeWork
    169 sg:pub.10.1007/s10811-016-1041-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1022962347
    170 https://doi.org/10.1007/s10811-016-1041-y
    171 rdf:type schema:CreativeWork
    172 sg:pub.10.1007/s11105-012-0519-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045094584
    173 https://doi.org/10.1007/s11105-012-0519-2
    174 rdf:type schema:CreativeWork
    175 sg:pub.10.1007/s11295-011-0433-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1027477573
    176 https://doi.org/10.1007/s11295-011-0433-z
    177 rdf:type schema:CreativeWork
    178 sg:pub.10.1007/s11295-014-0779-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023766348
    179 https://doi.org/10.1007/s11295-014-0779-0
    180 rdf:type schema:CreativeWork
    181 sg:pub.10.1007/s12686-011-9548-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014160842
    182 https://doi.org/10.1007/s12686-011-9548-7
    183 rdf:type schema:CreativeWork
    184 sg:pub.10.1023/b:euph.0000004970.39267.02 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018572910
    185 https://doi.org/10.1023/b:euph.0000004970.39267.02
    186 rdf:type schema:CreativeWork
    187 sg:pub.10.1038/nrg.2015.28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049142423
    188 https://doi.org/10.1038/nrg.2015.28
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1186/s40064-016-2835-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032463844
    191 https://doi.org/10.1186/s40064-016-2835-8
    192 rdf:type schema:CreativeWork
    193 https://doi.org/10.1016/j.aquabot.2008.06.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047905250
    194 rdf:type schema:CreativeWork
    195 https://doi.org/10.1016/j.molp.2017.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085110286
    196 rdf:type schema:CreativeWork
    197 https://doi.org/10.1016/j.scienta.2011.10.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006698476
    198 rdf:type schema:CreativeWork
    199 https://doi.org/10.1073/pnas.1719622115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103489248
    200 rdf:type schema:CreativeWork
    201 https://doi.org/10.1093/bioinformatics/btu170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042720804
    202 rdf:type schema:CreativeWork
    203 https://doi.org/10.1093/oxfordjournals.molbev.a040454 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079752303
    204 rdf:type schema:CreativeWork
    205 https://doi.org/10.1093/sysbio/syq010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046004748
    206 rdf:type schema:CreativeWork
    207 https://doi.org/10.1111/1755-0998.12387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019918862
    208 rdf:type schema:CreativeWork
    209 https://doi.org/10.1111/j.1365-294x.2005.02553.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045105386
    210 rdf:type schema:CreativeWork
    211 https://doi.org/10.1111/j.1439-0523.2007.01448.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050853866
    212 rdf:type schema:CreativeWork
    213 https://doi.org/10.1111/j.1755-0998.2009.02591.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001719382
    214 rdf:type schema:CreativeWork
    215 https://doi.org/10.1111/mec.12354 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011474911
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1270/jsbbs.16059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027938194
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1270/jsbbs.54.231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024448902
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.1270/jsbbs.62.263 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052779525
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.1271/bbb.80248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022136742
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.1371/journal.pone.0081611 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025724820
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.3732/ajb.1000376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029922174
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.3732/ajb.1000525 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012621442
    230 rdf:type schema:CreativeWork
    231 https://doi.org/10.3732/apps.1500025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010113015
    232 rdf:type schema:CreativeWork
    233 https://www.grid.ac/institutes/grid.258797.6 schema:alternateName Kyoto Prefectural University
    234 schema:name Biotechnology Research Department, Kyoto Prefectural Agriculture, Forestry and Fisheries Technology Center, 619-0244, Soraku-gun, Kyoto, Japan
    235 Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, 1-5 Hangi-cho, Shimogamo, 606-8522, Sakyo-ku, Kyoto, Japan
    236 rdf:type schema:Organization
    237 https://www.grid.ac/institutes/grid.258799.8 schema:alternateName Kyoto University
    238 schema:name Graduate School of Agriculture, Kyoto University, Sakyo-ku, 606-8502, Kyoto, Japan
    239 rdf:type schema:Organization
    240 https://www.grid.ac/institutes/grid.440905.c schema:alternateName Kyoto Gakuen University
    241 schema:name Faculty of Bioenvironmental Science, Kyoto Gakuen University, 621-8555, Kameoka, Kyoto, Japan
    242 rdf:type schema:Organization
    243 https://www.grid.ac/institutes/grid.440926.d schema:alternateName Ryukoku University
    244 schema:name Faculty of Agriculture, Ryukoku University, 520-2194, Ohtsu, Shiga, Japan
    245 rdf:type schema:Organization
     




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


    ...