Low temperature increases the frequency of 2n female gametes in the diploid rubber tree (Hevea brasiliensis (Willd. ex A.Juss.) Müll. ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Yuan-yuan Zhang, Xiao-fei Zhang, Xiao Huang, Xiao-yun Zhang, Peng-qiang Yao, Wei-guo Li

ABSTRACT

Triploid breeding via the fusion of 2n gametes and n gametes is an efficient method for breeding new varieties in woody plants. Triploid plants are frequently observed in the seedlings of the diploid rubber clone GT1. However, the factors affecting the occurrence and source of triploid progeny in GT1 are still unknown. In this study, the correlation between temperature and triploid progeny frequency in GT1 in different environments over 6 years was analyzed to evaluate the influence of temperature on the frequency of 2n female gametes. A total of 76 triploid progenies were analyzed using 19 simple sequence repeat markers, with the aim of revealing their genetic origin and the mechanism underlying 2n megagametophyte formation. The results showed that low temperature increased the frequency of triploid progeny in GT1, and the determination of allelic status revealed that all triploids were derived from the 2n female gametes, thereby confirming that low temperature increased the frequency of 2n female gametes. The rate of maternal heterozygosity restitution (HR) of seven loci varied from 2.70 to 67.65% with a mean value of 40.56%, and the rate of maternal HR of 37 triploids varied from 14.29 to 66.67% with a mean value of 41.38%, indicating that the production of 2n eggs in the triploid seedlings of GT1 was by second division restitution. The results of this study are valuable for the polyploid breeding of rubber trees. More... »

PAGES

23

References to SciGraph publications

  • 2011-11. Multilocus half-tetrad analysis and centromere mapping in citrus: evidence of SDR mechanism for 2n megagametophyte production and partial chiasma interference in mandarin cv ‘Fortune’ in HEREDITY
  • 2010-05. Assessment of the origin of new citrus tetraploid hybrids (2n = 4x) by means of SSR markers and PCR based dosage effects in EUPHYTICA
  • 2019-01. Triploid production via heat-induced diploidisation of megaspores in Populus pseudo-simonii in EUPHYTICA
  • 2014-10. 2n megagametophyte formed via SDR contributes to tetraploidization in polyembryonic ‘Nadorcott’ tangor crossed by citrus allotetraploids in PLANT CELL REPORTS
  • 2012-12. De novo assembly and characterization of bark transcriptome using Illumina sequencing and development of EST-SSR markers in rubber tree (Hevea brasiliensis Muell. Arg.) in BMC GENOMICS
  • 2014-12. Early selection of novel triploid hybrids of shrub willow with improved biomass yield relative to diploids in BMC PLANT BIOLOGY
  • 2017-09. Short periods of high temperature during meiosis prevent normal meiotic progression and reduce grain number in hexaploid wheat (Triticum aestivum L.) in THEORETICAL AND APPLIED GENETICS
  • 2009-12. Microsatellites from rubber tree (Hevea brasiliensis) for genetic diversity analysis and cross-amplification in six Hevea wild species in CONSERVATION GENETICS RESOURCES
  • 2011-12. Production of viable male unreduced gametes in Brassica interspecific hybrids is genotype specific and stimulated by cold temperatures in BMC PLANT BIOLOGY
  • 2012-01. Induction of unreduced megaspores with high temperature during megasporogenesis in Populus in ANNALS OF FOREST SCIENCE
  • 2017-02. Tetraploid citrus progenies arising from FDR and SDR unreduced pollen in 4x X 2x hybridizations in TREE GENETICS & GENOMES
  • 2004-07. Assignment of allelic configuration in polyploids using the MAC-PR (microsatellite DNA allele counting—peak ratios) method in THEORETICAL AND APPLIED GENETICS
  • 2002-01. Pollen Tube growth and fruit-set success in Hevea brasiliensis hand-pollination influenced by the choice of clone and female flower in EUPHYTICA
  • 2000-04. Alternative sources of natural rubber in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 2016-12. Induction of unreduced megaspores in Eucommia ulmoides by high temperature treatment during megasporogenesis in EUPHYTICA
  • 2015-02. Analysis of transmission of heterozygosity by 2n gametes in Populus (Salicaceae) in TREE GENETICS & GENOMES
  • 1995-07. Heterozygosity in 2n gametes of potato evaluated by RFLP markers in THEORETICAL AND APPLIED GENETICS
  • 2015-02. FDR and SDR processes in meiosis and diploid gamete formation in poplars (Populus L.) detected by centromere-associated microsatellite markers in TREE GENETICS & GENOMES
  • 1977-12. Bilateral sexual polyploidization in potatoes in EUPHYTICA
  • 1977-03. The significance of 2N gametes in potato breeding in THEORETICAL AND APPLIED GENETICS
  • 2005-11. The advantages and disadvantages of being polyploid in NATURE REVIEWS GENETICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11295-019-1330-0

    DOI

    http://dx.doi.org/10.1007/s11295-019-1330-0

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112397436


    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": "Chinese Academy of Tropical Agricultural Sciences", 
              "id": "https://www.grid.ac/institutes/grid.453499.6", 
              "name": [
                "Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture, Danzhou, People\u2019s Republic of China", 
                "State Centre for Rubber Breeding, Chinese Academy of Tropical Agricultural Sciences, Danzhou, People\u2019s Republic of China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Yuan-yuan", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ministry of Agriculture", 
              "id": "https://www.grid.ac/institutes/grid.418524.e", 
              "name": [
                "Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture, Danzhou, People\u2019s Republic of China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Xiao-fei", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ministry of Agriculture", 
              "id": "https://www.grid.ac/institutes/grid.418524.e", 
              "name": [
                "Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture, Danzhou, People\u2019s Republic of China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Huang", 
            "givenName": "Xiao", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Dehong Institute of Tropical Agricultural Sciences of Yunnan Province, Ruili, People\u2019s Republic of China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Xiao-yun", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pingdingshan University", 
              "id": "https://www.grid.ac/institutes/grid.449268.5", 
              "name": [
                "Pingdingshan University, Pingdingshan, People\u2019s Republic of China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yao", 
            "givenName": "Peng-qiang", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Chinese Academy of Tropical Agricultural Sciences", 
              "id": "https://www.grid.ac/institutes/grid.453499.6", 
              "name": [
                "Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture, Danzhou, People\u2019s Republic of China", 
                "State Centre for Rubber Breeding, Chinese Academy of Tropical Agricultural Sciences, Danzhou, People\u2019s Republic of China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Wei-guo", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s11295-014-0799-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003818641", 
              "https://doi.org/10.1007/s11295-014-0799-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jxb/err052", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004068445"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00220864", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005308029", 
              "https://doi.org/10.1007/bf00220864"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00220864", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005308029", 
              "https://doi.org/10.1007/bf00220864"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.ecolsys.29.1.467", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007309490"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10681-009-0093-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007447061", 
              "https://doi.org/10.1007/s10681-009-0093-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10681-009-0093-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007447061", 
              "https://doi.org/10.1007/s10681-009-0093-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jhered/esm110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008012885"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10681-016-1781-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009461787", 
              "https://doi.org/10.1007/s10681-016-1781-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10681-016-1781-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009461787", 
              "https://doi.org/10.1007/s10681-016-1781-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00275164", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009897153", 
              "https://doi.org/10.1007/bf00275164"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00275164", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009897153", 
              "https://doi.org/10.1007/bf00275164"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/nph.12184", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010313286"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13595-011-0152-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010663596", 
              "https://doi.org/10.1007/s13595-011-0152-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00299-014-1643-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010891423", 
              "https://doi.org/10.1007/s00299-014-1643-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00299-014-1643-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010891423", 
              "https://doi.org/10.1007/s00299-014-1643-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-016-1094-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011499755", 
              "https://doi.org/10.1007/s11295-016-1094-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-016-1094-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011499755", 
              "https://doi.org/10.1007/s11295-016-1094-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1469-8137.2011.03665.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012422183"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12686-009-9018-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013755330", 
              "https://doi.org/10.1007/s12686-009-9018-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12686-009-9018-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013755330", 
              "https://doi.org/10.1007/s12686-009-9018-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-014-0801-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016638009", 
              "https://doi.org/10.1007/s11295-014-0801-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.pbi.2005.01.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017139678"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1014486004608", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017440639", 
              "https://doi.org/10.1023/a:1014486004608"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00021683", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021458871", 
              "https://doi.org/10.1007/bf00021683"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00021683", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021458871", 
              "https://doi.org/10.1007/bf00021683"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg1711", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022197221", 
              "https://doi.org/10.1038/nrg1711"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg1711", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022197221", 
              "https://doi.org/10.1038/nrg1711"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1469-8137.1995.tb03005.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024960801"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/hdy.2011.33", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025719850", 
              "https://doi.org/10.1038/hdy.2011.33"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.112.208611", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029972209"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-11-103", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030996965", 
              "https://doi.org/10.1186/1471-2229-11-103"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tig.2014.09.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031320600"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-13-192", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031463569", 
              "https://doi.org/10.1186/1471-2164-13-192"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/g83-091", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033526323"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tibtech.2007.08.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035881408"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/f7120301", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040212976"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-004-1645-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042715692", 
              "https://doi.org/10.1007/s00122-004-1645-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-004-1645-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042715692", 
              "https://doi.org/10.1007/s00122-004-1645-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-14-74", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047275671", 
              "https://doi.org/10.1186/1471-2229-14-74"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s002530051627", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049428327", 
              "https://doi.org/10.1007/s002530051627"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/dnares/dsr034", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053268726"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.17660/actahortic.2015.1065.48", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068433810"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3724/sp.j.1005.2009.00311", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071317550"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/nph.14423", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074248190"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-017-2925-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085604556", 
              "https://doi.org/10.1007/s00122-017-2925-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-017-2925-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085604556", 
              "https://doi.org/10.1007/s00122-017-2925-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fpls.2017.01211", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090608084"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1515/sg-2008-0006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092266224"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1515/sg-2004-0013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092529186"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4172/2329-6836.1000312", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103689435"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/f9110728", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110096074"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/f9110728", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110096074"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10681-018-2330-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111153407", 
              "https://doi.org/10.1007/s10681-018-2330-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.21273/hortsci.45.8.1160", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111862757"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-04", 
        "datePublishedReg": "2019-04-01", 
        "description": "Triploid breeding via the fusion of 2n gametes and n gametes is an efficient method for breeding new varieties in woody plants. Triploid plants are frequently observed in the seedlings of the diploid rubber clone GT1. However, the factors affecting the occurrence and source of triploid progeny in GT1 are still unknown. In this study, the correlation between temperature and triploid progeny frequency in GT1 in different environments over 6 years was analyzed to evaluate the influence of temperature on the frequency of 2n female gametes. A total of 76 triploid progenies were analyzed using 19 simple sequence repeat markers, with the aim of revealing their genetic origin and the mechanism underlying 2n megagametophyte formation. The results showed that low temperature increased the frequency of triploid progeny in GT1, and the determination of allelic status revealed that all triploids were derived from the 2n female gametes, thereby confirming that low temperature increased the frequency of 2n female gametes. The rate of maternal heterozygosity restitution (HR) of seven loci varied from 2.70 to 67.65% with a mean value of 40.56%, and the rate of maternal HR of 37 triploids varied from 14.29 to 66.67% with a mean value of 41.38%, indicating that the production of 2n eggs in the triploid seedlings of GT1 was by second division restitution. The results of this study are valuable for the polyploid breeding of rubber trees.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s11295-019-1330-0", 
        "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": "15"
          }
        ], 
        "name": "Low temperature increases the frequency of 2n female gametes in the diploid rubber tree (Hevea brasiliensis (Willd. ex A.Juss.) M\u00fcll. Arg.)", 
        "pagination": "23", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112397436"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11295-019-1330-0"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "e64a87773e9937204e0a08a1e250a89fe760d8a5636f0f9d17bed11e4d741e35"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11295-019-1330-0", 
          "https://app.dimensions.ai/details/publication/pub.1112397436"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-16T06:25", 
        "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/v90/0000000377_0000000377/records_106834_00000002.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs11295-019-1330-0"
      }
    ]
     

    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/s11295-019-1330-0'

    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/s11295-019-1330-0'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11295-019-1330-0'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11295-019-1330-0'


     

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

    249 TRIPLES      21 PREDICATES      70 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11295-019-1330-0 schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author N49d46b4d18c647e280efbaab0480db02
    4 schema:citation sg:pub.10.1007/bf00021683
    5 sg:pub.10.1007/bf00220864
    6 sg:pub.10.1007/bf00275164
    7 sg:pub.10.1007/s00122-004-1645-5
    8 sg:pub.10.1007/s00122-017-2925-1
    9 sg:pub.10.1007/s002530051627
    10 sg:pub.10.1007/s00299-014-1643-2
    11 sg:pub.10.1007/s10681-009-0093-3
    12 sg:pub.10.1007/s10681-016-1781-4
    13 sg:pub.10.1007/s10681-018-2330-0
    14 sg:pub.10.1007/s11295-014-0799-9
    15 sg:pub.10.1007/s11295-014-0801-6
    16 sg:pub.10.1007/s11295-016-1094-8
    17 sg:pub.10.1007/s12686-009-9018-7
    18 sg:pub.10.1007/s13595-011-0152-5
    19 sg:pub.10.1023/a:1014486004608
    20 sg:pub.10.1038/hdy.2011.33
    21 sg:pub.10.1038/nrg1711
    22 sg:pub.10.1186/1471-2164-13-192
    23 sg:pub.10.1186/1471-2229-11-103
    24 sg:pub.10.1186/1471-2229-14-74
    25 https://doi.org/10.1016/j.pbi.2005.01.001
    26 https://doi.org/10.1016/j.tibtech.2007.08.009
    27 https://doi.org/10.1016/j.tig.2014.09.011
    28 https://doi.org/10.1093/dnares/dsr034
    29 https://doi.org/10.1093/jhered/esm110
    30 https://doi.org/10.1093/jxb/err052
    31 https://doi.org/10.1104/pp.112.208611
    32 https://doi.org/10.1111/j.1469-8137.1995.tb03005.x
    33 https://doi.org/10.1111/j.1469-8137.2011.03665.x
    34 https://doi.org/10.1111/nph.12184
    35 https://doi.org/10.1111/nph.14423
    36 https://doi.org/10.1139/g83-091
    37 https://doi.org/10.1146/annurev.ecolsys.29.1.467
    38 https://doi.org/10.1515/sg-2004-0013
    39 https://doi.org/10.1515/sg-2008-0006
    40 https://doi.org/10.17660/actahortic.2015.1065.48
    41 https://doi.org/10.21273/hortsci.45.8.1160
    42 https://doi.org/10.3389/fpls.2017.01211
    43 https://doi.org/10.3390/f7120301
    44 https://doi.org/10.3390/f9110728
    45 https://doi.org/10.3724/sp.j.1005.2009.00311
    46 https://doi.org/10.4172/2329-6836.1000312
    47 schema:datePublished 2019-04
    48 schema:datePublishedReg 2019-04-01
    49 schema:description Triploid breeding via the fusion of 2n gametes and n gametes is an efficient method for breeding new varieties in woody plants. Triploid plants are frequently observed in the seedlings of the diploid rubber clone GT1. However, the factors affecting the occurrence and source of triploid progeny in GT1 are still unknown. In this study, the correlation between temperature and triploid progeny frequency in GT1 in different environments over 6 years was analyzed to evaluate the influence of temperature on the frequency of 2n female gametes. A total of 76 triploid progenies were analyzed using 19 simple sequence repeat markers, with the aim of revealing their genetic origin and the mechanism underlying 2n megagametophyte formation. The results showed that low temperature increased the frequency of triploid progeny in GT1, and the determination of allelic status revealed that all triploids were derived from the 2n female gametes, thereby confirming that low temperature increased the frequency of 2n female gametes. The rate of maternal heterozygosity restitution (HR) of seven loci varied from 2.70 to 67.65% with a mean value of 40.56%, and the rate of maternal HR of 37 triploids varied from 14.29 to 66.67% with a mean value of 41.38%, indicating that the production of 2n eggs in the triploid seedlings of GT1 was by second division restitution. The results of this study are valuable for the polyploid breeding of rubber trees.
    50 schema:genre research_article
    51 schema:inLanguage en
    52 schema:isAccessibleForFree false
    53 schema:isPartOf N0288e102ed3944b9811862cda7e74878
    54 Na67fc46bfc06461aacb9fd77eccaa619
    55 sg:journal.1036007
    56 schema:name Low temperature increases the frequency of 2n female gametes in the diploid rubber tree (Hevea brasiliensis (Willd. ex A.Juss.) Müll. Arg.)
    57 schema:pagination 23
    58 schema:productId N9f1506c2b76f459a9847d6f671dd4223
    59 Na7edc35f27b4486988e38c0d290d9ad3
    60 Nc336d7e85f194b4aabccef842b26fd75
    61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112397436
    62 https://doi.org/10.1007/s11295-019-1330-0
    63 schema:sdDatePublished 2019-04-16T06:25
    64 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    65 schema:sdPublisher N60202580e42d4cd5b93b11f8059c301a
    66 schema:url https://link.springer.com/10.1007%2Fs11295-019-1330-0
    67 sgo:license sg:explorer/license/
    68 sgo:sdDataset articles
    69 rdf:type schema:ScholarlyArticle
    70 N0288e102ed3944b9811862cda7e74878 schema:volumeNumber 15
    71 rdf:type schema:PublicationVolume
    72 N41867499d15c4e46980559b1ee91b088 rdf:first Nc77272fda9614bf0b8314d4ef846258c
    73 rdf:rest Ne02bb8be512943c89b2776ac61be91de
    74 N49d46b4d18c647e280efbaab0480db02 rdf:first Nb05fcc39aeee46cca67458f2a0903e59
    75 rdf:rest Nda5d6bc10bf9405fb9e2b342a08f9c4b
    76 N5449da7af05f4838bf8aabadb0c47170 rdf:first Nb4d1cab6299c4505af1c24f12e98ed52
    77 rdf:rest N41867499d15c4e46980559b1ee91b088
    78 N60202580e42d4cd5b93b11f8059c301a schema:name Springer Nature - SN SciGraph project
    79 rdf:type schema:Organization
    80 N66dce4796fa84fc3a7a596b53ccbacfc schema:affiliation https://www.grid.ac/institutes/grid.418524.e
    81 schema:familyName Zhang
    82 schema:givenName Xiao-fei
    83 rdf:type schema:Person
    84 N67ea9e2818ff490399868bcea9aca2b1 rdf:first Ne1746040a6f647a08dfec1258c0ef1aa
    85 rdf:rest N5449da7af05f4838bf8aabadb0c47170
    86 N785096c4a9df4e79ac6e33c1e17c46a1 schema:name Dehong Institute of Tropical Agricultural Sciences of Yunnan Province, Ruili, People’s Republic of China
    87 rdf:type schema:Organization
    88 N9a0788ef2f224679a6aea31a2da44ef8 schema:affiliation https://www.grid.ac/institutes/grid.453499.6
    89 schema:familyName Li
    90 schema:givenName Wei-guo
    91 rdf:type schema:Person
    92 N9f1506c2b76f459a9847d6f671dd4223 schema:name readcube_id
    93 schema:value e64a87773e9937204e0a08a1e250a89fe760d8a5636f0f9d17bed11e4d741e35
    94 rdf:type schema:PropertyValue
    95 Na67fc46bfc06461aacb9fd77eccaa619 schema:issueNumber 2
    96 rdf:type schema:PublicationIssue
    97 Na7edc35f27b4486988e38c0d290d9ad3 schema:name dimensions_id
    98 schema:value pub.1112397436
    99 rdf:type schema:PropertyValue
    100 Nb05fcc39aeee46cca67458f2a0903e59 schema:affiliation https://www.grid.ac/institutes/grid.453499.6
    101 schema:familyName Zhang
    102 schema:givenName Yuan-yuan
    103 rdf:type schema:Person
    104 Nb4d1cab6299c4505af1c24f12e98ed52 schema:affiliation N785096c4a9df4e79ac6e33c1e17c46a1
    105 schema:familyName Zhang
    106 schema:givenName Xiao-yun
    107 rdf:type schema:Person
    108 Nc336d7e85f194b4aabccef842b26fd75 schema:name doi
    109 schema:value 10.1007/s11295-019-1330-0
    110 rdf:type schema:PropertyValue
    111 Nc77272fda9614bf0b8314d4ef846258c schema:affiliation https://www.grid.ac/institutes/grid.449268.5
    112 schema:familyName Yao
    113 schema:givenName Peng-qiang
    114 rdf:type schema:Person
    115 Nda5d6bc10bf9405fb9e2b342a08f9c4b rdf:first N66dce4796fa84fc3a7a596b53ccbacfc
    116 rdf:rest N67ea9e2818ff490399868bcea9aca2b1
    117 Ne02bb8be512943c89b2776ac61be91de rdf:first N9a0788ef2f224679a6aea31a2da44ef8
    118 rdf:rest rdf:nil
    119 Ne1746040a6f647a08dfec1258c0ef1aa schema:affiliation https://www.grid.ac/institutes/grid.418524.e
    120 schema:familyName Huang
    121 schema:givenName Xiao
    122 rdf:type schema:Person
    123 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    124 schema:name Biological Sciences
    125 rdf:type schema:DefinedTerm
    126 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    127 schema:name Genetics
    128 rdf:type schema:DefinedTerm
    129 sg:journal.1036007 schema:issn 1614-2942
    130 1614-2950
    131 schema:name Tree Genetics & Genomes
    132 rdf:type schema:Periodical
    133 sg:pub.10.1007/bf00021683 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021458871
    134 https://doi.org/10.1007/bf00021683
    135 rdf:type schema:CreativeWork
    136 sg:pub.10.1007/bf00220864 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005308029
    137 https://doi.org/10.1007/bf00220864
    138 rdf:type schema:CreativeWork
    139 sg:pub.10.1007/bf00275164 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009897153
    140 https://doi.org/10.1007/bf00275164
    141 rdf:type schema:CreativeWork
    142 sg:pub.10.1007/s00122-004-1645-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042715692
    143 https://doi.org/10.1007/s00122-004-1645-5
    144 rdf:type schema:CreativeWork
    145 sg:pub.10.1007/s00122-017-2925-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085604556
    146 https://doi.org/10.1007/s00122-017-2925-1
    147 rdf:type schema:CreativeWork
    148 sg:pub.10.1007/s002530051627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049428327
    149 https://doi.org/10.1007/s002530051627
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1007/s00299-014-1643-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010891423
    152 https://doi.org/10.1007/s00299-014-1643-2
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1007/s10681-009-0093-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007447061
    155 https://doi.org/10.1007/s10681-009-0093-3
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1007/s10681-016-1781-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009461787
    158 https://doi.org/10.1007/s10681-016-1781-4
    159 rdf:type schema:CreativeWork
    160 sg:pub.10.1007/s10681-018-2330-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111153407
    161 https://doi.org/10.1007/s10681-018-2330-0
    162 rdf:type schema:CreativeWork
    163 sg:pub.10.1007/s11295-014-0799-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003818641
    164 https://doi.org/10.1007/s11295-014-0799-9
    165 rdf:type schema:CreativeWork
    166 sg:pub.10.1007/s11295-014-0801-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016638009
    167 https://doi.org/10.1007/s11295-014-0801-6
    168 rdf:type schema:CreativeWork
    169 sg:pub.10.1007/s11295-016-1094-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011499755
    170 https://doi.org/10.1007/s11295-016-1094-8
    171 rdf:type schema:CreativeWork
    172 sg:pub.10.1007/s12686-009-9018-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013755330
    173 https://doi.org/10.1007/s12686-009-9018-7
    174 rdf:type schema:CreativeWork
    175 sg:pub.10.1007/s13595-011-0152-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010663596
    176 https://doi.org/10.1007/s13595-011-0152-5
    177 rdf:type schema:CreativeWork
    178 sg:pub.10.1023/a:1014486004608 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017440639
    179 https://doi.org/10.1023/a:1014486004608
    180 rdf:type schema:CreativeWork
    181 sg:pub.10.1038/hdy.2011.33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025719850
    182 https://doi.org/10.1038/hdy.2011.33
    183 rdf:type schema:CreativeWork
    184 sg:pub.10.1038/nrg1711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022197221
    185 https://doi.org/10.1038/nrg1711
    186 rdf:type schema:CreativeWork
    187 sg:pub.10.1186/1471-2164-13-192 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031463569
    188 https://doi.org/10.1186/1471-2164-13-192
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1186/1471-2229-11-103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030996965
    191 https://doi.org/10.1186/1471-2229-11-103
    192 rdf:type schema:CreativeWork
    193 sg:pub.10.1186/1471-2229-14-74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047275671
    194 https://doi.org/10.1186/1471-2229-14-74
    195 rdf:type schema:CreativeWork
    196 https://doi.org/10.1016/j.pbi.2005.01.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017139678
    197 rdf:type schema:CreativeWork
    198 https://doi.org/10.1016/j.tibtech.2007.08.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035881408
    199 rdf:type schema:CreativeWork
    200 https://doi.org/10.1016/j.tig.2014.09.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031320600
    201 rdf:type schema:CreativeWork
    202 https://doi.org/10.1093/dnares/dsr034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053268726
    203 rdf:type schema:CreativeWork
    204 https://doi.org/10.1093/jhered/esm110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008012885
    205 rdf:type schema:CreativeWork
    206 https://doi.org/10.1093/jxb/err052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004068445
    207 rdf:type schema:CreativeWork
    208 https://doi.org/10.1104/pp.112.208611 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029972209
    209 rdf:type schema:CreativeWork
    210 https://doi.org/10.1111/j.1469-8137.1995.tb03005.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024960801
    211 rdf:type schema:CreativeWork
    212 https://doi.org/10.1111/j.1469-8137.2011.03665.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012422183
    213 rdf:type schema:CreativeWork
    214 https://doi.org/10.1111/nph.12184 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010313286
    215 rdf:type schema:CreativeWork
    216 https://doi.org/10.1111/nph.14423 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074248190
    217 rdf:type schema:CreativeWork
    218 https://doi.org/10.1139/g83-091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033526323
    219 rdf:type schema:CreativeWork
    220 https://doi.org/10.1146/annurev.ecolsys.29.1.467 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007309490
    221 rdf:type schema:CreativeWork
    222 https://doi.org/10.1515/sg-2004-0013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092529186
    223 rdf:type schema:CreativeWork
    224 https://doi.org/10.1515/sg-2008-0006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092266224
    225 rdf:type schema:CreativeWork
    226 https://doi.org/10.17660/actahortic.2015.1065.48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068433810
    227 rdf:type schema:CreativeWork
    228 https://doi.org/10.21273/hortsci.45.8.1160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111862757
    229 rdf:type schema:CreativeWork
    230 https://doi.org/10.3389/fpls.2017.01211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090608084
    231 rdf:type schema:CreativeWork
    232 https://doi.org/10.3390/f7120301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040212976
    233 rdf:type schema:CreativeWork
    234 https://doi.org/10.3390/f9110728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110096074
    235 rdf:type schema:CreativeWork
    236 https://doi.org/10.3724/sp.j.1005.2009.00311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071317550
    237 rdf:type schema:CreativeWork
    238 https://doi.org/10.4172/2329-6836.1000312 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103689435
    239 rdf:type schema:CreativeWork
    240 https://www.grid.ac/institutes/grid.418524.e schema:alternateName Ministry of Agriculture
    241 schema:name Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture, Danzhou, People’s Republic of China
    242 rdf:type schema:Organization
    243 https://www.grid.ac/institutes/grid.449268.5 schema:alternateName Pingdingshan University
    244 schema:name Pingdingshan University, Pingdingshan, People’s Republic of China
    245 rdf:type schema:Organization
    246 https://www.grid.ac/institutes/grid.453499.6 schema:alternateName Chinese Academy of Tropical Agricultural Sciences
    247 schema:name Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture, Danzhou, People’s Republic of China
    248 State Centre for Rubber Breeding, Chinese Academy of Tropical Agricultural Sciences, Danzhou, People’s Republic of China
    249 rdf:type schema:Organization
     




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


    ...