Genomic analyses of an extensive collection of wild and cultivated accessions provide new insights into peach breeding history View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-12

AUTHORS

Yong Li, Ke Cao, Gengrui Zhu, Weichao Fang, Changwen Chen, Xinwei Wang, Pei Zhao, Jian Guo, Tiyu Ding, Liping Guan, Qian Zhang, Wenwu Guo, Zhangjun Fei, Lirong Wang

ABSTRACT

BACKGROUND: Human selection has a long history of transforming crop genomes. Peach (Prunus persica) has undergone more than 5000 years of domestication that led to remarkable changes in a series of agronomically important traits, but genetic bases underlying these changes and the effects of artificial selection on genomic diversity are not well understood. RESULTS: Here, we report a comprehensive analysis of peach evolution based on genome sequences of 480 wild and cultivated accessions. By focusing on a set of quantitative trait loci (QTLs), we provide evidence supporting that distinct phases of domestication and improvement have led to an increase in fruit size and taste and extended its geographic distribution. Fruit size was predominantly selected during domestication, and selection for large fruits has led to the loss of genetic diversity in several fruit weight QTLs. In contrast, fruit taste-related QTLs were successively selected for by domestication and improvement, with more QTLs selected for during improvement. Genome-wide association studies of 11 agronomic traits suggest a set of candidate genes controlling these traits and potential markers for molecular breeding. Candidate loci for genes that contributed to the adaption to low-chill regions were identified. Furthermore, the genomic bases of divergent selection for fruit texture and local breeding for different flavors between Asian and European/North American cultivars were also determined. CONCLUSIONS: Our results elucidate the genetic basis of peach evolution and provide new resources for future genomics-guided peach breeding. More... »

PAGES

36

References to SciGraph publications

  • 2016-08-11. Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown in NATURE PROTOCOLS
  • 2015-10. SpeedSeq: ultra-fast personal genome analysis and interpretation in NATURE METHODS
  • 2004-08. QTL analysis of quality traits in an advanced backcross between Prunus persica cultivars and the wild relative species P. davidiana in THEORETICAL AND APPLIED GENETICS
  • 2015-04. Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean in NATURE BIOTECHNOLOGY
  • 2012-06. STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method in CONSERVATION GENETICS RESOURCES
  • 2017-01-24. Transient structural variations have strong effects on quantitative traits and reproductive isolation in fission yeast in NATURE COMMUNICATIONS
  • 2006-12. Development of a second-generation genetic linkage map for peach [Prunus persica (L.) Batsch] and characterization of morphological traits affecting flower and fruit in TREE GENETICS & GENOMES
  • 2017-04. Asymmetric subgenome selection and cis-regulatory divergence during cotton domestication in NATURE GENETICS
  • 2013-05. The high-quality draft genome of peach (Prunus persica) identifies unique patterns of genetic diversity, domestication and genome evolution in NATURE GENETICS
  • 2017-12. Genome re-sequencing reveals the history of apple and supports a two-stage model for fruit enlargement in NATURE COMMUNICATIONS
  • 2013-12. A genomic variation map provides insights into the genetic basis of cucumber domestication and diversity in NATURE GENETICS
  • 2015-03. Ballgown bridges the gap between transcriptome assembly and expression analysis in NATURE BIOTECHNOLOGY
  • 2010-11. Genome-wide association studies of 14 agronomic traits in rice landraces in NATURE GENETICS
  • 2015-04. HISAT: a fast spliced aligner with low memory requirements in NATURE METHODS
  • 2008-07. Sequencing and annotation of the evergrowing locus in peach [Prunus persica (L.) Batsch] reveals a cluster of six MADS-box transcription factors as candidate genes for regulation of terminal bud formation in TREE GENETICS & GENOMES
  • 2013-02. High density SNP mapping and QTL analysis for fruit quality characteristics in peach (Prunus persica L.) in TREE GENETICS & GENOMES
  • 2011-04. QTL analysis of fruit quality traits in two peach intraspecific populations and importance of maturity date pleiotropic effect in TREE GENETICS & GENOMES
  • 2016-06. Mapping QTLs associated with fruit quality traits in peach [Prunus persica (L.) Batsch] using SNP maps in TREE GENETICS & GENOMES
  • 2014-07. Comparative population genomics reveals the domestication history of the peach, Prunus persica, and human influences on perennial fruit crops in GENOME BIOLOGY
  • 2014-11. Genomic analyses provide insights into the history of tomato breeding in NATURE GENETICS
  • 2016-11-08. Genome-wide association study of 12 agronomic traits in peach in NATURE COMMUNICATIONS
  • 1999-01. Mapping QTLs controlling fruit quality in peach (Prunus persica (L.) Batsch) in THEORETICAL AND APPLIED GENETICS
  • 2016-12. Sugars in peach fruit: a breeding perspective in HORTICULTURE RESEARCH
  • 2010-04. Variance component model to account for sample structure in genome-wide association studies in NATURE GENETICS
  • 2015-03. StringTie enables improved reconstruction of a transcriptome from RNA-seq reads in NATURE BIOTECHNOLOGY
  • 2012-07. Genome-wide genetic changes during modern breeding of maize in NATURE GENETICS
  • 2002-07. Candidate genes and QTLs for sugar and organic acid content in peach [Prunus persica (L.) Batsch] in THEORETICAL AND APPLIED GENETICS
  • 2011-05. A framework for variation discovery and genotyping using next-generation DNA sequencing data in NATURE GENETICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s13059-019-1648-9

    DOI

    http://dx.doi.org/10.1186/s13059-019-1648-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112315656

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30791928


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

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cold Temperature", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Domestication", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Fruit", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome, Plant", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Plant Breeding", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Prunus persica", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Quantitative Trait Loci", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Selection, Genetic", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Huazhong Agricultural University", 
              "id": "https://www.grid.ac/institutes/grid.35155.37", 
              "name": [
                "Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China", 
                "Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Yong", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zhengzhou Fruit Research Institute", 
              "id": "https://www.grid.ac/institutes/grid.464499.2", 
              "name": [
                "Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cao", 
            "givenName": "Ke", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zhengzhou Fruit Research Institute", 
              "id": "https://www.grid.ac/institutes/grid.464499.2", 
              "name": [
                "Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhu", 
            "givenName": "Gengrui", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zhengzhou Fruit Research Institute", 
              "id": "https://www.grid.ac/institutes/grid.464499.2", 
              "name": [
                "Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fang", 
            "givenName": "Weichao", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zhengzhou Fruit Research Institute", 
              "id": "https://www.grid.ac/institutes/grid.464499.2", 
              "name": [
                "Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chen", 
            "givenName": "Changwen", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zhengzhou Fruit Research Institute", 
              "id": "https://www.grid.ac/institutes/grid.464499.2", 
              "name": [
                "Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wang", 
            "givenName": "Xinwei", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zhengzhou Fruit Research Institute", 
              "id": "https://www.grid.ac/institutes/grid.464499.2", 
              "name": [
                "Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhao", 
            "givenName": "Pei", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zhengzhou Fruit Research Institute", 
              "id": "https://www.grid.ac/institutes/grid.464499.2", 
              "name": [
                "Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Guo", 
            "givenName": "Jian", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zhengzhou Fruit Research Institute", 
              "id": "https://www.grid.ac/institutes/grid.464499.2", 
              "name": [
                "Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ding", 
            "givenName": "Tiyu", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zhengzhou Fruit Research Institute", 
              "id": "https://www.grid.ac/institutes/grid.464499.2", 
              "name": [
                "Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Guan", 
            "givenName": "Liping", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zhengzhou Fruit Research Institute", 
              "id": "https://www.grid.ac/institutes/grid.464499.2", 
              "name": [
                "Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Qian", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Huazhong Agricultural University", 
              "id": "https://www.grid.ac/institutes/grid.35155.37", 
              "name": [
                "Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Guo", 
            "givenName": "Wenwu", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Cornell University", 
              "id": "https://www.grid.ac/institutes/grid.5386.8", 
              "name": [
                "Boyce Thompson Institute for Plant Research, US Department of Agriculture (USDA) Robert W. Holley Center for Agriculture and Health, Cornell University, Ithaca, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fei", 
            "givenName": "Zhangjun", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zhengzhou Fruit Research Institute", 
              "id": "https://www.grid.ac/institutes/grid.464499.2", 
              "name": [
                "Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wang", 
            "givenName": "Lirong", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/hortres.2015.67", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002311446", 
              "https://doi.org/10.1038/hortres.2015.67"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2015.11.020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004064487"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2016.095", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004211338", 
              "https://doi.org/10.1038/nprot.2016.095"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.3317", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005140994", 
              "https://doi.org/10.1038/nmeth.3317"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0139406", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005257524"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.3172", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008644087", 
              "https://doi.org/10.1038/nbt.3172"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2010.11.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009497006"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.3505", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009578663", 
              "https://doi.org/10.1038/nmeth.3505"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.695", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009890914", 
              "https://doi.org/10.1038/ng.695"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.695", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009890914", 
              "https://doi.org/10.1038/ng.695"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.806", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010244476", 
              "https://doi.org/10.1038/ng.806"
            ], 
            "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.10.1038/ng.548", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016055940", 
              "https://doi.org/10.1038/ng.548"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.548", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016055940", 
              "https://doi.org/10.1038/ng.548"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016362667", 
              "https://doi.org/10.1007/s001220051035"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016362667", 
              "https://doi.org/10.1007/s001220051035"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0307937101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016654685"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-001-0841-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016694026", 
              "https://doi.org/10.1007/s00122-001-0841-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-001-0841-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016694026", 
              "https://doi.org/10.1007/s00122-001-0841-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/8.19.4321", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018245215"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btr330", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018404011"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.0030163", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018787320"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/519795", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019061180"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.3096", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019886007", 
              "https://doi.org/10.1038/nbt.3096"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1469-8137.2009.03119.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020057585"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1469-8137.2009.03119.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020057585"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jhered/90.4.502", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020644900"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-007-0126-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020746152", 
              "https://doi.org/10.1007/s11295-007-0126-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-012-0522-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021231798", 
              "https://doi.org/10.1007/s11295-012-0522-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btp352", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023014918"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0090574", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023069037"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/tpj.12283", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024863620"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jxb/erw021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024936967"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-004-1703-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025572234", 
              "https://doi.org/10.1007/s00122-004-1703-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-004-1703-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025572234", 
              "https://doi.org/10.1007/s00122-004-1703-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0415-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027565495", 
              "https://doi.org/10.1186/s13059-014-0415-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0415-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027565495", 
              "https://doi.org/10.1186/s13059-014-0415-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3117", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028681422", 
              "https://doi.org/10.1038/ng.3117"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bti403", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031468641"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.107524.110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032096953"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bts378", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032917074"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2801", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033850418", 
              "https://doi.org/10.1038/ng.2801"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jsfa.6727", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036468694"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btq033", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036892131"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jhered/esh057", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037808981"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btp324", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038266369"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2586", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040618371", 
              "https://doi.org/10.1038/ng.2586"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rspb.2016.1016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041096292"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-294x.2006.03049.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042398495"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btu170", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042720804"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/molbev/mst112", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042815580"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2312", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043056471", 
              "https://doi.org/10.1038/ng.2312"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.111.177311", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043207491"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.3122", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045760294", 
              "https://doi.org/10.1038/nbt.3122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1000695", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046660436"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4161/fly.19695", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046734556"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-010-0334-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046737458", 
              "https://doi.org/10.1007/s11295-010-0334-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.scienta.2016.06.019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048971100"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms13246", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049028221", 
              "https://doi.org/10.1038/ncomms13246"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-016-0996-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049031553", 
              "https://doi.org/10.1007/s11295-016-0996-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.108.097238", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050477576"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.108.097238", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050477576"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkw370", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051417083"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1270/jsbbs.51.271", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052191895"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-006-0053-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052534677", 
              "https://doi.org/10.1007/s11295-006-0053-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btv710", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059414585"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1183700", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062461359"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.219.4585.689", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062526112"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.289.5476.85", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062570181"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/g3.116.032672", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1067739358"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/g3.116.032672", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1067739358"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/g3.116.032672", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1067739358"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.17660/actahortic.2006.713.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068412356"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.17660/actahortic.2006.713.63", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068412415"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms14061", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074193072", 
              "https://doi.org/10.1038/ncomms14061"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1075335894", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.aal1556", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1079403053"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1083023539", 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3807", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084129147", 
              "https://doi.org/10.1038/ng.3807"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1079/9781845933869.0175", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1089220755"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-017-00336-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091090284", 
              "https://doi.org/10.1038/s41467-017-00336-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1709257114", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092249272"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-12", 
        "datePublishedReg": "2019-12-01", 
        "description": "BACKGROUND: Human selection has a long history of transforming crop genomes. Peach (Prunus persica) has undergone more than 5000\u2009years of domestication that led to remarkable changes in a series of agronomically important traits, but genetic bases underlying these changes and the effects of artificial selection on genomic diversity are not well understood.\nRESULTS: Here, we report a comprehensive analysis of peach evolution based on genome sequences of 480 wild and cultivated accessions. By focusing on a set of quantitative trait loci (QTLs), we provide evidence supporting that distinct phases of domestication and improvement have led to an increase in fruit size and taste and extended its geographic distribution. Fruit size was predominantly selected during domestication, and selection for large fruits has led to the loss of genetic diversity in several fruit weight QTLs. In contrast, fruit taste-related QTLs were successively selected for by domestication and improvement, with more QTLs selected for during improvement. Genome-wide association studies of 11 agronomic traits suggest a set of candidate genes controlling these traits and potential markers for molecular breeding. Candidate loci for genes that contributed to the adaption to low-chill regions were identified. Furthermore, the genomic bases of divergent selection for fruit texture and local breeding for different flavors between Asian and European/North American cultivars were also determined.\nCONCLUSIONS: Our results elucidate the genetic basis of peach evolution and provide new resources for future genomics-guided peach breeding.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/s13059-019-1648-9", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3848145", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4058138", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1023439", 
            "issn": [
              "1474-760X", 
              "1465-6906"
            ], 
            "name": "Genome Biology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "20"
          }
        ], 
        "name": "Genomic analyses of an extensive collection of wild and cultivated accessions provide new insights into peach breeding history", 
        "pagination": "36", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "affdea6fba23773ff7360a090782a8631542b2f70fa7b599e147d6e3ec0efcd1"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30791928"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "100960660"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s13059-019-1648-9"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112315656"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s13059-019-1648-9", 
          "https://app.dimensions.ai/details/publication/pub.1112315656"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T12:53", 
        "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/v90/0000000364_0000000364/records_72847_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1186%2Fs13059-019-1648-9"
      }
    ]
     

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

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13059-019-1648-9'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13059-019-1648-9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13059-019-1648-9'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13059-019-1648-9'


     

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

    431 TRIPLES      21 PREDICATES      109 URIs      29 LITERALS      17 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s13059-019-1648-9 schema:about N030ad66704104011adc1bd4e42833c82
    2 N2ca767b3bbce4050a26026fefae36665
    3 N388827f7bb0e4f56aec413a56f2b1935
    4 N486398befd234cb18392c293829f7353
    5 N924272c0bd5c4fb2998d524d5ec1f60f
    6 N9b262c38f18b4b23b8c9f3b85c23786c
    7 Nb994500e02e547dcaaed872b37d9ae7d
    8 Ne102931a906644299f588ba0889bce89
    9 anzsrc-for:06
    10 anzsrc-for:0604
    11 schema:author Ne0fccee16842474d9b699d9b41b3fcb8
    12 schema:citation sg:pub.10.1007/s00122-001-0841-9
    13 sg:pub.10.1007/s00122-004-1703-z
    14 sg:pub.10.1007/s001220051035
    15 sg:pub.10.1007/s11295-006-0053-1
    16 sg:pub.10.1007/s11295-007-0126-9
    17 sg:pub.10.1007/s11295-010-0334-6
    18 sg:pub.10.1007/s11295-012-0522-7
    19 sg:pub.10.1007/s11295-016-0996-9
    20 sg:pub.10.1007/s12686-011-9548-7
    21 sg:pub.10.1038/hortres.2015.67
    22 sg:pub.10.1038/nbt.3096
    23 sg:pub.10.1038/nbt.3122
    24 sg:pub.10.1038/nbt.3172
    25 sg:pub.10.1038/ncomms13246
    26 sg:pub.10.1038/ncomms14061
    27 sg:pub.10.1038/ng.2312
    28 sg:pub.10.1038/ng.2586
    29 sg:pub.10.1038/ng.2801
    30 sg:pub.10.1038/ng.3117
    31 sg:pub.10.1038/ng.3807
    32 sg:pub.10.1038/ng.548
    33 sg:pub.10.1038/ng.695
    34 sg:pub.10.1038/ng.806
    35 sg:pub.10.1038/nmeth.3317
    36 sg:pub.10.1038/nmeth.3505
    37 sg:pub.10.1038/nprot.2016.095
    38 sg:pub.10.1038/s41467-017-00336-7
    39 sg:pub.10.1186/s13059-014-0415-1
    40 https://app.dimensions.ai/details/publication/pub.1075335894
    41 https://app.dimensions.ai/details/publication/pub.1083023539
    42 https://doi.org/10.1002/jsfa.6727
    43 https://doi.org/10.1016/j.ajhg.2010.11.011
    44 https://doi.org/10.1016/j.ajhg.2015.11.020
    45 https://doi.org/10.1016/j.scienta.2016.06.019
    46 https://doi.org/10.1073/pnas.0307937101
    47 https://doi.org/10.1073/pnas.1709257114
    48 https://doi.org/10.1079/9781845933869.0175
    49 https://doi.org/10.1086/519795
    50 https://doi.org/10.1093/bioinformatics/bti403
    51 https://doi.org/10.1093/bioinformatics/btp324
    52 https://doi.org/10.1093/bioinformatics/btp352
    53 https://doi.org/10.1093/bioinformatics/btq033
    54 https://doi.org/10.1093/bioinformatics/btr330
    55 https://doi.org/10.1093/bioinformatics/bts378
    56 https://doi.org/10.1093/bioinformatics/btu170
    57 https://doi.org/10.1093/bioinformatics/btv710
    58 https://doi.org/10.1093/jhered/90.4.502
    59 https://doi.org/10.1093/jhered/esh057
    60 https://doi.org/10.1093/jxb/erw021
    61 https://doi.org/10.1093/molbev/mst112
    62 https://doi.org/10.1093/nar/8.19.4321
    63 https://doi.org/10.1093/nar/gkw370
    64 https://doi.org/10.1098/rspb.2016.1016
    65 https://doi.org/10.1101/gr.107524.110
    66 https://doi.org/10.1104/pp.111.177311
    67 https://doi.org/10.1111/j.1365-294x.2006.03049.x
    68 https://doi.org/10.1111/j.1469-8137.2009.03119.x
    69 https://doi.org/10.1111/tpj.12283
    70 https://doi.org/10.1126/science.1183700
    71 https://doi.org/10.1126/science.219.4585.689
    72 https://doi.org/10.1126/science.289.5476.85
    73 https://doi.org/10.1126/science.aal1556
    74 https://doi.org/10.1270/jsbbs.51.271
    75 https://doi.org/10.1371/journal.pgen.0030163
    76 https://doi.org/10.1371/journal.pgen.1000695
    77 https://doi.org/10.1371/journal.pone.0090574
    78 https://doi.org/10.1371/journal.pone.0139406
    79 https://doi.org/10.1534/g3.116.032672
    80 https://doi.org/10.1534/genetics.108.097238
    81 https://doi.org/10.17660/actahortic.2006.713.1
    82 https://doi.org/10.17660/actahortic.2006.713.63
    83 https://doi.org/10.4161/fly.19695
    84 schema:datePublished 2019-12
    85 schema:datePublishedReg 2019-12-01
    86 schema:description BACKGROUND: Human selection has a long history of transforming crop genomes. Peach (Prunus persica) has undergone more than 5000 years of domestication that led to remarkable changes in a series of agronomically important traits, but genetic bases underlying these changes and the effects of artificial selection on genomic diversity are not well understood. RESULTS: Here, we report a comprehensive analysis of peach evolution based on genome sequences of 480 wild and cultivated accessions. By focusing on a set of quantitative trait loci (QTLs), we provide evidence supporting that distinct phases of domestication and improvement have led to an increase in fruit size and taste and extended its geographic distribution. Fruit size was predominantly selected during domestication, and selection for large fruits has led to the loss of genetic diversity in several fruit weight QTLs. In contrast, fruit taste-related QTLs were successively selected for by domestication and improvement, with more QTLs selected for during improvement. Genome-wide association studies of 11 agronomic traits suggest a set of candidate genes controlling these traits and potential markers for molecular breeding. Candidate loci for genes that contributed to the adaption to low-chill regions were identified. Furthermore, the genomic bases of divergent selection for fruit texture and local breeding for different flavors between Asian and European/North American cultivars were also determined. CONCLUSIONS: Our results elucidate the genetic basis of peach evolution and provide new resources for future genomics-guided peach breeding.
    87 schema:genre research_article
    88 schema:inLanguage en
    89 schema:isAccessibleForFree false
    90 schema:isPartOf Nb15b8e146a0b4dd986e2e20a7fc87c41
    91 Nbe464be922c14569be407c2c0ce7ed4c
    92 sg:journal.1023439
    93 schema:name Genomic analyses of an extensive collection of wild and cultivated accessions provide new insights into peach breeding history
    94 schema:pagination 36
    95 schema:productId N9e75f0b39c1c4381bcb381e65e0fa6d3
    96 N9f18c21dbfb44d6292843f50b070001f
    97 Na4011f728121471098331cc5f065de2a
    98 Nd34d6b6a120443fda2271aec2e662294
    99 Nfc7361b2dc9c42268b3ea806e6758b0c
    100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112315656
    101 https://doi.org/10.1186/s13059-019-1648-9
    102 schema:sdDatePublished 2019-04-11T12:53
    103 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    104 schema:sdPublisher N04a4e35a1a584765bcfacd86952c1b20
    105 schema:url https://link.springer.com/10.1186%2Fs13059-019-1648-9
    106 sgo:license sg:explorer/license/
    107 sgo:sdDataset articles
    108 rdf:type schema:ScholarlyArticle
    109 N030ad66704104011adc1bd4e42833c82 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    110 schema:name Fruit
    111 rdf:type schema:DefinedTerm
    112 N04a4e35a1a584765bcfacd86952c1b20 schema:name Springer Nature - SN SciGraph project
    113 rdf:type schema:Organization
    114 N0f154569e8b94912ac78f8dd7ddd4140 rdf:first Nbd258ac4075d4306b645bba937646308
    115 rdf:rest N8cd5ff3e8e0a4381a91935959bdb20a9
    116 N11f9044400e1441aaf7c410ece1431c6 schema:affiliation https://www.grid.ac/institutes/grid.464499.2
    117 schema:familyName Guo
    118 schema:givenName Jian
    119 rdf:type schema:Person
    120 N17860b6a70044356b82d8b887244eb72 rdf:first N442891ee7868401f9e0684be71bab1cd
    121 rdf:rest N41bf680f196742efb084771818b86577
    122 N1adac2531b744349b38f9711ef512406 rdf:first N11f9044400e1441aaf7c410ece1431c6
    123 rdf:rest N72ecb7781685429aa0e2a02750810ba3
    124 N1d476e7280ed41f1a7960cae4077ce32 rdf:first N28e057389a474aa1bb6c08a3e1f74e05
    125 rdf:rest N17860b6a70044356b82d8b887244eb72
    126 N28e057389a474aa1bb6c08a3e1f74e05 schema:affiliation https://www.grid.ac/institutes/grid.464499.2
    127 schema:familyName Zhu
    128 schema:givenName Gengrui
    129 rdf:type schema:Person
    130 N2ca767b3bbce4050a26026fefae36665 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    131 schema:name Selection, Genetic
    132 rdf:type schema:DefinedTerm
    133 N388827f7bb0e4f56aec413a56f2b1935 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    134 schema:name Genome, Plant
    135 rdf:type schema:DefinedTerm
    136 N41bf680f196742efb084771818b86577 rdf:first Ne39aceb44db149a4b9a2a58f16489d8e
    137 rdf:rest N0f154569e8b94912ac78f8dd7ddd4140
    138 N442891ee7868401f9e0684be71bab1cd schema:affiliation https://www.grid.ac/institutes/grid.464499.2
    139 schema:familyName Fang
    140 schema:givenName Weichao
    141 rdf:type schema:Person
    142 N486398befd234cb18392c293829f7353 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    143 schema:name Prunus persica
    144 rdf:type schema:DefinedTerm
    145 N4f7292a288cc43f4af10918f5b8571ea schema:affiliation https://www.grid.ac/institutes/grid.464499.2
    146 schema:familyName Cao
    147 schema:givenName Ke
    148 rdf:type schema:Person
    149 N6fa63e4f937649a88bd5e9c72cf039f2 rdf:first Nef7a38fe8c7f4f7b862284a881dac5f4
    150 rdf:rest N77f935d95bf44664a2e037475ab669fe
    151 N72ecb7781685429aa0e2a02750810ba3 rdf:first Nf71c00220a7d4a03b4eadc4e2e4342da
    152 rdf:rest N6fa63e4f937649a88bd5e9c72cf039f2
    153 N77f935d95bf44664a2e037475ab669fe rdf:first Nc4c69cf11e8c4b7c953d37492bd67c9b
    154 rdf:rest N8d47295334c1450984af5780dcc62298
    155 N8cd5ff3e8e0a4381a91935959bdb20a9 rdf:first Na0207f12fc6f4d61aaa1de7c6f0ea7b7
    156 rdf:rest N1adac2531b744349b38f9711ef512406
    157 N8d47295334c1450984af5780dcc62298 rdf:first Nf887079b312b4c689838fed53240dee3
    158 rdf:rest Na3f87e45599f47928831a88ded3a53d7
    159 N924272c0bd5c4fb2998d524d5ec1f60f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    160 schema:name Cold Temperature
    161 rdf:type schema:DefinedTerm
    162 N9877969ba3e04253bfbca9a0dbc5761e rdf:first Na5ab2f8dff3648bea8ce7ba70d8470df
    163 rdf:rest rdf:nil
    164 N9b262c38f18b4b23b8c9f3b85c23786c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    165 schema:name Plant Breeding
    166 rdf:type schema:DefinedTerm
    167 N9e75f0b39c1c4381bcb381e65e0fa6d3 schema:name readcube_id
    168 schema:value affdea6fba23773ff7360a090782a8631542b2f70fa7b599e147d6e3ec0efcd1
    169 rdf:type schema:PropertyValue
    170 N9f18c21dbfb44d6292843f50b070001f schema:name dimensions_id
    171 schema:value pub.1112315656
    172 rdf:type schema:PropertyValue
    173 Na0207f12fc6f4d61aaa1de7c6f0ea7b7 schema:affiliation https://www.grid.ac/institutes/grid.464499.2
    174 schema:familyName Zhao
    175 schema:givenName Pei
    176 rdf:type schema:Person
    177 Na3f87e45599f47928831a88ded3a53d7 rdf:first Nf89625f173304848812d37e8dd260807
    178 rdf:rest N9877969ba3e04253bfbca9a0dbc5761e
    179 Na4011f728121471098331cc5f065de2a schema:name doi
    180 schema:value 10.1186/s13059-019-1648-9
    181 rdf:type schema:PropertyValue
    182 Na5ab2f8dff3648bea8ce7ba70d8470df schema:affiliation https://www.grid.ac/institutes/grid.464499.2
    183 schema:familyName Wang
    184 schema:givenName Lirong
    185 rdf:type schema:Person
    186 Nb15b8e146a0b4dd986e2e20a7fc87c41 schema:volumeNumber 20
    187 rdf:type schema:PublicationVolume
    188 Nb994500e02e547dcaaed872b37d9ae7d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    189 schema:name Domestication
    190 rdf:type schema:DefinedTerm
    191 Nbd258ac4075d4306b645bba937646308 schema:affiliation https://www.grid.ac/institutes/grid.464499.2
    192 schema:familyName Wang
    193 schema:givenName Xinwei
    194 rdf:type schema:Person
    195 Nbe464be922c14569be407c2c0ce7ed4c schema:issueNumber 1
    196 rdf:type schema:PublicationIssue
    197 Nc4c69cf11e8c4b7c953d37492bd67c9b schema:affiliation https://www.grid.ac/institutes/grid.464499.2
    198 schema:familyName Zhang
    199 schema:givenName Qian
    200 rdf:type schema:Person
    201 Nc840de84bb00458b8718dacc629160b1 rdf:first N4f7292a288cc43f4af10918f5b8571ea
    202 rdf:rest N1d476e7280ed41f1a7960cae4077ce32
    203 Nd34d6b6a120443fda2271aec2e662294 schema:name pubmed_id
    204 schema:value 30791928
    205 rdf:type schema:PropertyValue
    206 Ne0fccee16842474d9b699d9b41b3fcb8 rdf:first Neccf4fd1dafa4240a24388db69a8613f
    207 rdf:rest Nc840de84bb00458b8718dacc629160b1
    208 Ne102931a906644299f588ba0889bce89 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    209 schema:name Quantitative Trait Loci
    210 rdf:type schema:DefinedTerm
    211 Ne39aceb44db149a4b9a2a58f16489d8e schema:affiliation https://www.grid.ac/institutes/grid.464499.2
    212 schema:familyName Chen
    213 schema:givenName Changwen
    214 rdf:type schema:Person
    215 Neccf4fd1dafa4240a24388db69a8613f schema:affiliation https://www.grid.ac/institutes/grid.35155.37
    216 schema:familyName Li
    217 schema:givenName Yong
    218 rdf:type schema:Person
    219 Nef7a38fe8c7f4f7b862284a881dac5f4 schema:affiliation https://www.grid.ac/institutes/grid.464499.2
    220 schema:familyName Guan
    221 schema:givenName Liping
    222 rdf:type schema:Person
    223 Nf71c00220a7d4a03b4eadc4e2e4342da schema:affiliation https://www.grid.ac/institutes/grid.464499.2
    224 schema:familyName Ding
    225 schema:givenName Tiyu
    226 rdf:type schema:Person
    227 Nf887079b312b4c689838fed53240dee3 schema:affiliation https://www.grid.ac/institutes/grid.35155.37
    228 schema:familyName Guo
    229 schema:givenName Wenwu
    230 rdf:type schema:Person
    231 Nf89625f173304848812d37e8dd260807 schema:affiliation https://www.grid.ac/institutes/grid.5386.8
    232 schema:familyName Fei
    233 schema:givenName Zhangjun
    234 rdf:type schema:Person
    235 Nfc7361b2dc9c42268b3ea806e6758b0c schema:name nlm_unique_id
    236 schema:value 100960660
    237 rdf:type schema:PropertyValue
    238 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    239 schema:name Biological Sciences
    240 rdf:type schema:DefinedTerm
    241 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    242 schema:name Genetics
    243 rdf:type schema:DefinedTerm
    244 sg:grant.3848145 http://pending.schema.org/fundedItem sg:pub.10.1186/s13059-019-1648-9
    245 rdf:type schema:MonetaryGrant
    246 sg:grant.4058138 http://pending.schema.org/fundedItem sg:pub.10.1186/s13059-019-1648-9
    247 rdf:type schema:MonetaryGrant
    248 sg:journal.1023439 schema:issn 1465-6906
    249 1474-760X
    250 schema:name Genome Biology
    251 rdf:type schema:Periodical
    252 sg:pub.10.1007/s00122-001-0841-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016694026
    253 https://doi.org/10.1007/s00122-001-0841-9
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1007/s00122-004-1703-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1025572234
    256 https://doi.org/10.1007/s00122-004-1703-z
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1007/s001220051035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016362667
    259 https://doi.org/10.1007/s001220051035
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1007/s11295-006-0053-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052534677
    262 https://doi.org/10.1007/s11295-006-0053-1
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1007/s11295-007-0126-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020746152
    265 https://doi.org/10.1007/s11295-007-0126-9
    266 rdf:type schema:CreativeWork
    267 sg:pub.10.1007/s11295-010-0334-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046737458
    268 https://doi.org/10.1007/s11295-010-0334-6
    269 rdf:type schema:CreativeWork
    270 sg:pub.10.1007/s11295-012-0522-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021231798
    271 https://doi.org/10.1007/s11295-012-0522-7
    272 rdf:type schema:CreativeWork
    273 sg:pub.10.1007/s11295-016-0996-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049031553
    274 https://doi.org/10.1007/s11295-016-0996-9
    275 rdf:type schema:CreativeWork
    276 sg:pub.10.1007/s12686-011-9548-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014160842
    277 https://doi.org/10.1007/s12686-011-9548-7
    278 rdf:type schema:CreativeWork
    279 sg:pub.10.1038/hortres.2015.67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002311446
    280 https://doi.org/10.1038/hortres.2015.67
    281 rdf:type schema:CreativeWork
    282 sg:pub.10.1038/nbt.3096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019886007
    283 https://doi.org/10.1038/nbt.3096
    284 rdf:type schema:CreativeWork
    285 sg:pub.10.1038/nbt.3122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045760294
    286 https://doi.org/10.1038/nbt.3122
    287 rdf:type schema:CreativeWork
    288 sg:pub.10.1038/nbt.3172 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008644087
    289 https://doi.org/10.1038/nbt.3172
    290 rdf:type schema:CreativeWork
    291 sg:pub.10.1038/ncomms13246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049028221
    292 https://doi.org/10.1038/ncomms13246
    293 rdf:type schema:CreativeWork
    294 sg:pub.10.1038/ncomms14061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074193072
    295 https://doi.org/10.1038/ncomms14061
    296 rdf:type schema:CreativeWork
    297 sg:pub.10.1038/ng.2312 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043056471
    298 https://doi.org/10.1038/ng.2312
    299 rdf:type schema:CreativeWork
    300 sg:pub.10.1038/ng.2586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040618371
    301 https://doi.org/10.1038/ng.2586
    302 rdf:type schema:CreativeWork
    303 sg:pub.10.1038/ng.2801 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033850418
    304 https://doi.org/10.1038/ng.2801
    305 rdf:type schema:CreativeWork
    306 sg:pub.10.1038/ng.3117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028681422
    307 https://doi.org/10.1038/ng.3117
    308 rdf:type schema:CreativeWork
    309 sg:pub.10.1038/ng.3807 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084129147
    310 https://doi.org/10.1038/ng.3807
    311 rdf:type schema:CreativeWork
    312 sg:pub.10.1038/ng.548 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016055940
    313 https://doi.org/10.1038/ng.548
    314 rdf:type schema:CreativeWork
    315 sg:pub.10.1038/ng.695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009890914
    316 https://doi.org/10.1038/ng.695
    317 rdf:type schema:CreativeWork
    318 sg:pub.10.1038/ng.806 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010244476
    319 https://doi.org/10.1038/ng.806
    320 rdf:type schema:CreativeWork
    321 sg:pub.10.1038/nmeth.3317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005140994
    322 https://doi.org/10.1038/nmeth.3317
    323 rdf:type schema:CreativeWork
    324 sg:pub.10.1038/nmeth.3505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009578663
    325 https://doi.org/10.1038/nmeth.3505
    326 rdf:type schema:CreativeWork
    327 sg:pub.10.1038/nprot.2016.095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004211338
    328 https://doi.org/10.1038/nprot.2016.095
    329 rdf:type schema:CreativeWork
    330 sg:pub.10.1038/s41467-017-00336-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091090284
    331 https://doi.org/10.1038/s41467-017-00336-7
    332 rdf:type schema:CreativeWork
    333 sg:pub.10.1186/s13059-014-0415-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027565495
    334 https://doi.org/10.1186/s13059-014-0415-1
    335 rdf:type schema:CreativeWork
    336 https://app.dimensions.ai/details/publication/pub.1075335894 schema:CreativeWork
    337 https://app.dimensions.ai/details/publication/pub.1083023539 schema:CreativeWork
    338 https://doi.org/10.1002/jsfa.6727 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036468694
    339 rdf:type schema:CreativeWork
    340 https://doi.org/10.1016/j.ajhg.2010.11.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009497006
    341 rdf:type schema:CreativeWork
    342 https://doi.org/10.1016/j.ajhg.2015.11.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004064487
    343 rdf:type schema:CreativeWork
    344 https://doi.org/10.1016/j.scienta.2016.06.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048971100
    345 rdf:type schema:CreativeWork
    346 https://doi.org/10.1073/pnas.0307937101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016654685
    347 rdf:type schema:CreativeWork
    348 https://doi.org/10.1073/pnas.1709257114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092249272
    349 rdf:type schema:CreativeWork
    350 https://doi.org/10.1079/9781845933869.0175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1089220755
    351 rdf:type schema:CreativeWork
    352 https://doi.org/10.1086/519795 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019061180
    353 rdf:type schema:CreativeWork
    354 https://doi.org/10.1093/bioinformatics/bti403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031468641
    355 rdf:type schema:CreativeWork
    356 https://doi.org/10.1093/bioinformatics/btp324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038266369
    357 rdf:type schema:CreativeWork
    358 https://doi.org/10.1093/bioinformatics/btp352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023014918
    359 rdf:type schema:CreativeWork
    360 https://doi.org/10.1093/bioinformatics/btq033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036892131
    361 rdf:type schema:CreativeWork
    362 https://doi.org/10.1093/bioinformatics/btr330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018404011
    363 rdf:type schema:CreativeWork
    364 https://doi.org/10.1093/bioinformatics/bts378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032917074
    365 rdf:type schema:CreativeWork
    366 https://doi.org/10.1093/bioinformatics/btu170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042720804
    367 rdf:type schema:CreativeWork
    368 https://doi.org/10.1093/bioinformatics/btv710 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059414585
    369 rdf:type schema:CreativeWork
    370 https://doi.org/10.1093/jhered/90.4.502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020644900
    371 rdf:type schema:CreativeWork
    372 https://doi.org/10.1093/jhered/esh057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037808981
    373 rdf:type schema:CreativeWork
    374 https://doi.org/10.1093/jxb/erw021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024936967
    375 rdf:type schema:CreativeWork
    376 https://doi.org/10.1093/molbev/mst112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042815580
    377 rdf:type schema:CreativeWork
    378 https://doi.org/10.1093/nar/8.19.4321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018245215
    379 rdf:type schema:CreativeWork
    380 https://doi.org/10.1093/nar/gkw370 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051417083
    381 rdf:type schema:CreativeWork
    382 https://doi.org/10.1098/rspb.2016.1016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041096292
    383 rdf:type schema:CreativeWork
    384 https://doi.org/10.1101/gr.107524.110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032096953
    385 rdf:type schema:CreativeWork
    386 https://doi.org/10.1104/pp.111.177311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043207491
    387 rdf:type schema:CreativeWork
    388 https://doi.org/10.1111/j.1365-294x.2006.03049.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1042398495
    389 rdf:type schema:CreativeWork
    390 https://doi.org/10.1111/j.1469-8137.2009.03119.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020057585
    391 rdf:type schema:CreativeWork
    392 https://doi.org/10.1111/tpj.12283 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024863620
    393 rdf:type schema:CreativeWork
    394 https://doi.org/10.1126/science.1183700 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062461359
    395 rdf:type schema:CreativeWork
    396 https://doi.org/10.1126/science.219.4585.689 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062526112
    397 rdf:type schema:CreativeWork
    398 https://doi.org/10.1126/science.289.5476.85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062570181
    399 rdf:type schema:CreativeWork
    400 https://doi.org/10.1126/science.aal1556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079403053
    401 rdf:type schema:CreativeWork
    402 https://doi.org/10.1270/jsbbs.51.271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052191895
    403 rdf:type schema:CreativeWork
    404 https://doi.org/10.1371/journal.pgen.0030163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018787320
    405 rdf:type schema:CreativeWork
    406 https://doi.org/10.1371/journal.pgen.1000695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046660436
    407 rdf:type schema:CreativeWork
    408 https://doi.org/10.1371/journal.pone.0090574 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023069037
    409 rdf:type schema:CreativeWork
    410 https://doi.org/10.1371/journal.pone.0139406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005257524
    411 rdf:type schema:CreativeWork
    412 https://doi.org/10.1534/g3.116.032672 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067739358
    413 rdf:type schema:CreativeWork
    414 https://doi.org/10.1534/genetics.108.097238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050477576
    415 rdf:type schema:CreativeWork
    416 https://doi.org/10.17660/actahortic.2006.713.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068412356
    417 rdf:type schema:CreativeWork
    418 https://doi.org/10.17660/actahortic.2006.713.63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068412415
    419 rdf:type schema:CreativeWork
    420 https://doi.org/10.4161/fly.19695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046734556
    421 rdf:type schema:CreativeWork
    422 https://www.grid.ac/institutes/grid.35155.37 schema:alternateName Huazhong Agricultural University
    423 schema:name Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China
    424 Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
    425 rdf:type schema:Organization
    426 https://www.grid.ac/institutes/grid.464499.2 schema:alternateName Zhengzhou Fruit Research Institute
    427 schema:name Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
    428 rdf:type schema:Organization
    429 https://www.grid.ac/institutes/grid.5386.8 schema:alternateName Cornell University
    430 schema:name Boyce Thompson Institute for Plant Research, US Department of Agriculture (USDA) Robert W. Holley Center for Agriculture and Health, Cornell University, Ithaca, NY, USA
    431 rdf:type schema:Organization
     




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


    ...