Transcriptome sequencing and EST-SSR marker development in Salix babylonica and S. suchowensis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Xueyao Tian, Jiwei Zheng, Zhongyi Jiao, Jie Zhou, Kaiyue He, Baosong Wang, Xudong He

ABSTRACT

As the largest genus in the family Salicaceae, Salix L. has great potential in industrial, ornamental, and bioenergy-related applications. Despite their comprehensive importance, the genetic and genomic resources available for various willow species are still insufficient. In the present study, the transcriptomes of S. babylonica and S. suchowensis were sequenced using Roche 454 pyrosequencing and screened for expressed sequence tagged simple sequence repeat (EST-SSR) markers. A total of 280,074 and 267,030 reads with an average length of 432 bp and 398 bp were obtained for S. babylonica and S. suchowensis, respectively. The de novo assemblies yielded 40,271 unigenes for S. babylonica and 55,083 unigenes for S. suchowensis, of which 32,506 and 42,482 unigenes were respectively annotated in at least one of the four reference databases. A total of 1479 differentially expressed genes were identified between the two species. A set of 1083 SSR markers (424 for S. babylonica and 659 for S. suchowensis) were developed from the expressed sequence assemblies. Of the 300 randomly selected EST-SSR markers, 295 (98.3%) were polymorphic among different individuals of S. babylonica and of S. eriocephala. High rates of cross-species/genus amplification were also observed within 16 different species. In conclusion, this transcriptomic analysis provides novel resources for functional genomic research and can be used to improve the efficiency of genetics and breeding applications for these Salix species. More... »

PAGES

9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11295-018-1315-4

DOI

http://dx.doi.org/10.1007/s11295-018-1315-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111261372


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": "Jiangsu Provincial Academy of Forestry Science and Management", 
          "id": "https://www.grid.ac/institutes/grid.496720.e", 
          "name": [
            "College of Biology and the Environment, Nanjing Forestry University, Longpan Road, 210037, Nanjing, China", 
            "Department of Tree Genetics and Breeding, Jiangsu Academy of Forestry, Ningdan Road, 211153, Nanjing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tian", 
        "givenName": "Xueyao", 
        "id": "sg:person.015255250512.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015255250512.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jiangsu Provincial Academy of Forestry Science and Management", 
          "id": "https://www.grid.ac/institutes/grid.496720.e", 
          "name": [
            "Department of Tree Genetics and Breeding, Jiangsu Academy of Forestry, Ningdan Road, 211153, Nanjing, China", 
            "Willow Nursery of the Jiangsu Provincial Platform for Conservation and Utilization of Agricultural Germplasm, Jiangsu Academy of Forestry, Ningdan Road, 211153, Nanjing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zheng", 
        "givenName": "Jiwei", 
        "id": "sg:person.013277315251.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013277315251.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jiangsu Provincial Academy of Forestry Science and Management", 
          "id": "https://www.grid.ac/institutes/grid.496720.e", 
          "name": [
            "Department of Tree Genetics and Breeding, Jiangsu Academy of Forestry, Ningdan Road, 211153, Nanjing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jiao", 
        "givenName": "Zhongyi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jiangsu Provincial Academy of Forestry Science and Management", 
          "id": "https://www.grid.ac/institutes/grid.496720.e", 
          "name": [
            "Department of Tree Genetics and Breeding, Jiangsu Academy of Forestry, Ningdan Road, 211153, Nanjing, China", 
            "Willow Nursery of the Jiangsu Provincial Platform for Conservation and Utilization of Agricultural Germplasm, Jiangsu Academy of Forestry, Ningdan Road, 211153, Nanjing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhou", 
        "givenName": "Jie", 
        "id": "sg:person.016306441751.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016306441751.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nanjing Forestry University", 
          "id": "https://www.grid.ac/institutes/grid.410625.4", 
          "name": [
            "College of Biology and the Environment, Nanjing Forestry University, Longpan Road, 210037, Nanjing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "He", 
        "givenName": "Kaiyue", 
        "id": "sg:person.011176331551.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011176331551.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jiangsu Provincial Academy of Forestry Science and Management", 
          "id": "https://www.grid.ac/institutes/grid.496720.e", 
          "name": [
            "Department of Tree Genetics and Breeding, Jiangsu Academy of Forestry, Ningdan Road, 211153, Nanjing, China", 
            "Willow Nursery of the Jiangsu Provincial Platform for Conservation and Utilization of Agricultural Germplasm, Jiangsu Academy of Forestry, Ningdan Road, 211153, Nanjing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Baosong", 
        "id": "sg:person.015657556203.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015657556203.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jiangsu Provincial Academy of Forestry Science and Management", 
          "id": "https://www.grid.ac/institutes/grid.496720.e", 
          "name": [
            "Department of Tree Genetics and Breeding, Jiangsu Academy of Forestry, Ningdan Road, 211153, Nanjing, China", 
            "Willow Nursery of the Jiangsu Provincial Platform for Conservation and Utilization of Agricultural Germplasm, Jiangsu Academy of Forestry, Ningdan Road, 211153, Nanjing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "He", 
        "givenName": "Xudong", 
        "id": "sg:person.012737767403.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012737767403.24"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11295-016-1096-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000383675", 
          "https://doi.org/10.1007/s11295-016-1096-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-016-1096-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000383675", 
          "https://doi.org/10.1007/s11295-016-1096-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2229-14-31", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000469733", 
          "https://doi.org/10.1186/1471-2229-14-31"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/treephys/tpt089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000578959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fpls.2016.01577", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001637867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.biochem.69.1.497", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003361647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10681-010-0286-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006329776", 
          "https://doi.org/10.1007/s10681-010-0286-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10681-010-0286-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006329776", 
          "https://doi.org/10.1007/s10681-010-0286-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11032-010-9417-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008886233", 
          "https://doi.org/10.1007/s11032-010-9417-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3732/ajb.1100394", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008962620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00468-016-1397-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012431657", 
          "https://doi.org/10.1007/s00468-016-1397-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/17.12.1093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012655733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-3040.2010.02170.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012782510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-3040.2010.02170.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012782510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/cr.2014.83", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014932556", 
          "https://doi.org/10.1038/cr.2014.83"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-11-129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015786810", 
          "https://doi.org/10.1186/1471-2164-11-129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-010-0326-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016660715", 
          "https://doi.org/10.1007/s11295-010-0326-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-14-705", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017124813", 
          "https://doi.org/10.1186/1471-2164-14-705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/gcbb.12280", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017840424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/x03-283", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017926261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tibtech.2009.05.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018973914"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0157777", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019298112"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2934", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020249428", 
          "https://doi.org/10.1038/nrg2934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms3797", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021031607", 
          "https://doi.org/10.1038/ncomms3797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11032-008-9243-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021569225", 
          "https://doi.org/10.1007/s11032-008-9243-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1128691", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022607900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/treephys/tpr015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023525998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1385/1-59259-192-2:365", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023668922", 
          "https://doi.org/10.1385/1-59259-192-2:365"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/dnares/dss036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023935039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tig.2007.12.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027335183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gene.2014.04.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027473232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-015-0862-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029596301", 
          "https://doi.org/10.1007/s11295-015-0862-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2484", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030687647", 
          "https://doi.org/10.1038/nrg2484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-015-0868-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030905142", 
          "https://doi.org/10.1007/s11295-015-0868-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/treephys/tps081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032288126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-0-387-70805-8_13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032965021", 
          "https://doi.org/10.1007/978-0-387-70805-8_13"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0121965", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033189354"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0121965", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033189354"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-genom-082908-145957", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034370642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg3012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034382223", 
          "https://doi.org/10.1038/nrg3012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3732/apps.1400120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035277858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp324", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038266369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-13-648", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039001765", 
          "https://doi.org/10.1186/1471-2164-13-648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-016-1060-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039159407", 
          "https://doi.org/10.1007/s11295-016-1060-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-016-1060-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039159407", 
          "https://doi.org/10.1007/s11295-016-1060-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.hdy.6801001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039313885", 
          "https://doi.org/10.1038/sj.hdy.6801001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0060181", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039363221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7717/peerj.2437", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040449058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep39591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042956070", 
          "https://doi.org/10.1038/srep39591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4236/ajps.2012.39142", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044401368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0061337", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044714473"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3732/ajb.1100442", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047264661"
        ], 
        "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": "https://doi.org/10.1016/j.ygeno.2008.07.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049637368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-014-0782-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050921646", 
          "https://doi.org/10.1007/s11295-014-0782-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-014-0782-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050921646", 
          "https://doi.org/10.1007/s11295-014-0782-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11103-011-9811-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052126628", 
          "https://doi.org/10.1007/s11103-011-9811-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0109122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052361171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11032-013-9923-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052656100", 
          "https://doi.org/10.1007/s11032-013-9923-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep40290", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074201138", 
          "https://doi.org/10.1038/srep40290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081643579", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082577887", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/pbr.12458", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084216874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/sg-2014-0015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085921655"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02", 
    "datePublishedReg": "2019-02-01", 
    "description": "As the largest genus in the family Salicaceae, Salix L. has great potential in industrial, ornamental, and bioenergy-related applications. Despite their comprehensive importance, the genetic and genomic resources available for various willow species are still insufficient. In the present study, the transcriptomes of S. babylonica and S. suchowensis were sequenced using Roche 454 pyrosequencing and screened for expressed sequence tagged simple sequence repeat (EST-SSR) markers. A total of 280,074 and 267,030 reads with an average length of 432 bp and 398 bp were obtained for S. babylonica and S. suchowensis, respectively. The de novo assemblies yielded 40,271 unigenes for S. babylonica and 55,083 unigenes for S. suchowensis, of which 32,506 and 42,482 unigenes were respectively annotated in at least one of the four reference databases. A total of 1479 differentially expressed genes were identified between the two species. A set of 1083 SSR markers (424 for S. babylonica and 659 for S. suchowensis) were developed from the expressed sequence assemblies. Of the 300 randomly selected EST-SSR markers, 295 (98.3%) were polymorphic among different individuals of S. babylonica and of S. eriocephala. High rates of cross-species/genus amplification were also observed within 16 different species. In conclusion, this transcriptomic analysis provides novel resources for functional genomic research and can be used to improve the efficiency of genetics and breeding applications for these Salix species.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11295-018-1315-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1036007", 
        "issn": [
          "1614-2942", 
          "1614-2950"
        ], 
        "name": "Tree Genetics & Genomes", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "Transcriptome sequencing and EST-SSR marker development in Salix babylonica and S. suchowensis", 
    "pagination": "9", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5f14ce4dc2a23f6095b0189c7c8b896adb06048d21adbb9d99c2f2c2780c64cb"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11295-018-1315-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111261372"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11295-018-1315-4", 
      "https://app.dimensions.ai/details/publication/pub.1111261372"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:37", 
    "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/v90/0000000315_0000000315/records_6336_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11295-018-1315-4"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11295-018-1315-4'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11295-018-1315-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11295-018-1315-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11295-018-1315-4'


 

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

306 TRIPLES      21 PREDICATES      85 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11295-018-1315-4 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N8e40c10b7a5d4a6f9530544bc71bbf32
4 schema:citation sg:pub.10.1007/978-0-387-70805-8_13
5 sg:pub.10.1007/s00468-016-1397-2
6 sg:pub.10.1007/s10681-010-0286-9
7 sg:pub.10.1007/s11032-008-9243-x
8 sg:pub.10.1007/s11032-010-9417-1
9 sg:pub.10.1007/s11032-013-9923-z
10 sg:pub.10.1007/s11103-011-9811-z
11 sg:pub.10.1007/s11295-010-0326-6
12 sg:pub.10.1007/s11295-014-0782-5
13 sg:pub.10.1007/s11295-015-0862-1
14 sg:pub.10.1007/s11295-015-0868-8
15 sg:pub.10.1007/s11295-016-1060-5
16 sg:pub.10.1007/s11295-016-1096-6
17 sg:pub.10.1038/cr.2014.83
18 sg:pub.10.1038/ncomms3797
19 sg:pub.10.1038/nrg2484
20 sg:pub.10.1038/nrg2934
21 sg:pub.10.1038/nrg3012
22 sg:pub.10.1038/sj.hdy.6801001
23 sg:pub.10.1038/srep39591
24 sg:pub.10.1038/srep40290
25 sg:pub.10.1186/1471-2164-11-129
26 sg:pub.10.1186/1471-2164-13-648
27 sg:pub.10.1186/1471-2164-14-705
28 sg:pub.10.1186/1471-2229-14-31
29 sg:pub.10.1186/1471-2229-14-74
30 sg:pub.10.1385/1-59259-192-2:365
31 https://app.dimensions.ai/details/publication/pub.1081643579
32 https://app.dimensions.ai/details/publication/pub.1082577887
33 https://doi.org/10.1016/j.gene.2014.04.031
34 https://doi.org/10.1016/j.tibtech.2009.05.006
35 https://doi.org/10.1016/j.tig.2007.12.007
36 https://doi.org/10.1016/j.ygeno.2008.07.001
37 https://doi.org/10.1093/bioinformatics/17.12.1093
38 https://doi.org/10.1093/bioinformatics/btp324
39 https://doi.org/10.1093/dnares/dss036
40 https://doi.org/10.1093/treephys/tpr015
41 https://doi.org/10.1093/treephys/tps081
42 https://doi.org/10.1093/treephys/tpt089
43 https://doi.org/10.1111/gcbb.12280
44 https://doi.org/10.1111/j.1365-3040.2010.02170.x
45 https://doi.org/10.1111/pbr.12458
46 https://doi.org/10.1126/science.1128691
47 https://doi.org/10.1139/x03-283
48 https://doi.org/10.1146/annurev-genom-082908-145957
49 https://doi.org/10.1146/annurev.biochem.69.1.497
50 https://doi.org/10.1371/journal.pone.0060181
51 https://doi.org/10.1371/journal.pone.0061337
52 https://doi.org/10.1371/journal.pone.0109122
53 https://doi.org/10.1371/journal.pone.0121965
54 https://doi.org/10.1371/journal.pone.0157777
55 https://doi.org/10.1515/sg-2014-0015
56 https://doi.org/10.3389/fpls.2016.01577
57 https://doi.org/10.3732/ajb.1100394
58 https://doi.org/10.3732/ajb.1100442
59 https://doi.org/10.3732/apps.1400120
60 https://doi.org/10.4236/ajps.2012.39142
61 https://doi.org/10.7717/peerj.2437
62 schema:datePublished 2019-02
63 schema:datePublishedReg 2019-02-01
64 schema:description As the largest genus in the family Salicaceae, Salix L. has great potential in industrial, ornamental, and bioenergy-related applications. Despite their comprehensive importance, the genetic and genomic resources available for various willow species are still insufficient. In the present study, the transcriptomes of S. babylonica and S. suchowensis were sequenced using Roche 454 pyrosequencing and screened for expressed sequence tagged simple sequence repeat (EST-SSR) markers. A total of 280,074 and 267,030 reads with an average length of 432 bp and 398 bp were obtained for S. babylonica and S. suchowensis, respectively. The de novo assemblies yielded 40,271 unigenes for S. babylonica and 55,083 unigenes for S. suchowensis, of which 32,506 and 42,482 unigenes were respectively annotated in at least one of the four reference databases. A total of 1479 differentially expressed genes were identified between the two species. A set of 1083 SSR markers (424 for S. babylonica and 659 for S. suchowensis) were developed from the expressed sequence assemblies. Of the 300 randomly selected EST-SSR markers, 295 (98.3%) were polymorphic among different individuals of S. babylonica and of S. eriocephala. High rates of cross-species/genus amplification were also observed within 16 different species. In conclusion, this transcriptomic analysis provides novel resources for functional genomic research and can be used to improve the efficiency of genetics and breeding applications for these Salix species.
65 schema:genre research_article
66 schema:inLanguage en
67 schema:isAccessibleForFree false
68 schema:isPartOf Nab24d2319d1844d5a6862e035f084ec5
69 Nefbf83fbb7924a7fac9970047672b202
70 sg:journal.1036007
71 schema:name Transcriptome sequencing and EST-SSR marker development in Salix babylonica and S. suchowensis
72 schema:pagination 9
73 schema:productId Nb435319dafab490aa620ca2b75083189
74 Nb9fd8bd8cce14003aadbd1f0d551af8b
75 Ne1cd44cb62b04076a29c61619eb993d0
76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111261372
77 https://doi.org/10.1007/s11295-018-1315-4
78 schema:sdDatePublished 2019-04-11T08:37
79 schema:sdLicense https://scigraph.springernature.com/explorer/license/
80 schema:sdPublisher N758bc5b4f520425da15df997d772580a
81 schema:url https://link.springer.com/10.1007%2Fs11295-018-1315-4
82 sgo:license sg:explorer/license/
83 sgo:sdDataset articles
84 rdf:type schema:ScholarlyArticle
85 N564be97770324e4a8c03daeacc3d6999 rdf:first N714273cd784f44f29eeb039aaf360988
86 rdf:rest N65fcb115bbc7476d9e0beeaf790c127d
87 N65fcb115bbc7476d9e0beeaf790c127d rdf:first sg:person.016306441751.03
88 rdf:rest N916572ceef9844669916a1f1f8eb5a0d
89 N714273cd784f44f29eeb039aaf360988 schema:affiliation https://www.grid.ac/institutes/grid.496720.e
90 schema:familyName Jiao
91 schema:givenName Zhongyi
92 rdf:type schema:Person
93 N758bc5b4f520425da15df997d772580a schema:name Springer Nature - SN SciGraph project
94 rdf:type schema:Organization
95 N897285668a7c459782836d631c8c5d9a rdf:first sg:person.015657556203.12
96 rdf:rest Ne8cfced6958e42e886ce49eb722707be
97 N8e40c10b7a5d4a6f9530544bc71bbf32 rdf:first sg:person.015255250512.30
98 rdf:rest Nf667b7aab3b74daba2c798311d62f8eb
99 N916572ceef9844669916a1f1f8eb5a0d rdf:first sg:person.011176331551.56
100 rdf:rest N897285668a7c459782836d631c8c5d9a
101 Nab24d2319d1844d5a6862e035f084ec5 schema:issueNumber 1
102 rdf:type schema:PublicationIssue
103 Nb435319dafab490aa620ca2b75083189 schema:name dimensions_id
104 schema:value pub.1111261372
105 rdf:type schema:PropertyValue
106 Nb9fd8bd8cce14003aadbd1f0d551af8b schema:name doi
107 schema:value 10.1007/s11295-018-1315-4
108 rdf:type schema:PropertyValue
109 Ne1cd44cb62b04076a29c61619eb993d0 schema:name readcube_id
110 schema:value 5f14ce4dc2a23f6095b0189c7c8b896adb06048d21adbb9d99c2f2c2780c64cb
111 rdf:type schema:PropertyValue
112 Ne8cfced6958e42e886ce49eb722707be rdf:first sg:person.012737767403.24
113 rdf:rest rdf:nil
114 Nefbf83fbb7924a7fac9970047672b202 schema:volumeNumber 15
115 rdf:type schema:PublicationVolume
116 Nf667b7aab3b74daba2c798311d62f8eb rdf:first sg:person.013277315251.48
117 rdf:rest N564be97770324e4a8c03daeacc3d6999
118 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
119 schema:name Biological Sciences
120 rdf:type schema:DefinedTerm
121 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
122 schema:name Genetics
123 rdf:type schema:DefinedTerm
124 sg:journal.1036007 schema:issn 1614-2942
125 1614-2950
126 schema:name Tree Genetics & Genomes
127 rdf:type schema:Periodical
128 sg:person.011176331551.56 schema:affiliation https://www.grid.ac/institutes/grid.410625.4
129 schema:familyName He
130 schema:givenName Kaiyue
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011176331551.56
132 rdf:type schema:Person
133 sg:person.012737767403.24 schema:affiliation https://www.grid.ac/institutes/grid.496720.e
134 schema:familyName He
135 schema:givenName Xudong
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012737767403.24
137 rdf:type schema:Person
138 sg:person.013277315251.48 schema:affiliation https://www.grid.ac/institutes/grid.496720.e
139 schema:familyName Zheng
140 schema:givenName Jiwei
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013277315251.48
142 rdf:type schema:Person
143 sg:person.015255250512.30 schema:affiliation https://www.grid.ac/institutes/grid.496720.e
144 schema:familyName Tian
145 schema:givenName Xueyao
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015255250512.30
147 rdf:type schema:Person
148 sg:person.015657556203.12 schema:affiliation https://www.grid.ac/institutes/grid.496720.e
149 schema:familyName Wang
150 schema:givenName Baosong
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015657556203.12
152 rdf:type schema:Person
153 sg:person.016306441751.03 schema:affiliation https://www.grid.ac/institutes/grid.496720.e
154 schema:familyName Zhou
155 schema:givenName Jie
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016306441751.03
157 rdf:type schema:Person
158 sg:pub.10.1007/978-0-387-70805-8_13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032965021
159 https://doi.org/10.1007/978-0-387-70805-8_13
160 rdf:type schema:CreativeWork
161 sg:pub.10.1007/s00468-016-1397-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012431657
162 https://doi.org/10.1007/s00468-016-1397-2
163 rdf:type schema:CreativeWork
164 sg:pub.10.1007/s10681-010-0286-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006329776
165 https://doi.org/10.1007/s10681-010-0286-9
166 rdf:type schema:CreativeWork
167 sg:pub.10.1007/s11032-008-9243-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021569225
168 https://doi.org/10.1007/s11032-008-9243-x
169 rdf:type schema:CreativeWork
170 sg:pub.10.1007/s11032-010-9417-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008886233
171 https://doi.org/10.1007/s11032-010-9417-1
172 rdf:type schema:CreativeWork
173 sg:pub.10.1007/s11032-013-9923-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1052656100
174 https://doi.org/10.1007/s11032-013-9923-z
175 rdf:type schema:CreativeWork
176 sg:pub.10.1007/s11103-011-9811-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1052126628
177 https://doi.org/10.1007/s11103-011-9811-z
178 rdf:type schema:CreativeWork
179 sg:pub.10.1007/s11295-010-0326-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016660715
180 https://doi.org/10.1007/s11295-010-0326-6
181 rdf:type schema:CreativeWork
182 sg:pub.10.1007/s11295-014-0782-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050921646
183 https://doi.org/10.1007/s11295-014-0782-5
184 rdf:type schema:CreativeWork
185 sg:pub.10.1007/s11295-015-0862-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029596301
186 https://doi.org/10.1007/s11295-015-0862-1
187 rdf:type schema:CreativeWork
188 sg:pub.10.1007/s11295-015-0868-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030905142
189 https://doi.org/10.1007/s11295-015-0868-8
190 rdf:type schema:CreativeWork
191 sg:pub.10.1007/s11295-016-1060-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039159407
192 https://doi.org/10.1007/s11295-016-1060-5
193 rdf:type schema:CreativeWork
194 sg:pub.10.1007/s11295-016-1096-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000383675
195 https://doi.org/10.1007/s11295-016-1096-6
196 rdf:type schema:CreativeWork
197 sg:pub.10.1038/cr.2014.83 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014932556
198 https://doi.org/10.1038/cr.2014.83
199 rdf:type schema:CreativeWork
200 sg:pub.10.1038/ncomms3797 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021031607
201 https://doi.org/10.1038/ncomms3797
202 rdf:type schema:CreativeWork
203 sg:pub.10.1038/nrg2484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030687647
204 https://doi.org/10.1038/nrg2484
205 rdf:type schema:CreativeWork
206 sg:pub.10.1038/nrg2934 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020249428
207 https://doi.org/10.1038/nrg2934
208 rdf:type schema:CreativeWork
209 sg:pub.10.1038/nrg3012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034382223
210 https://doi.org/10.1038/nrg3012
211 rdf:type schema:CreativeWork
212 sg:pub.10.1038/sj.hdy.6801001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039313885
213 https://doi.org/10.1038/sj.hdy.6801001
214 rdf:type schema:CreativeWork
215 sg:pub.10.1038/srep39591 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042956070
216 https://doi.org/10.1038/srep39591
217 rdf:type schema:CreativeWork
218 sg:pub.10.1038/srep40290 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074201138
219 https://doi.org/10.1038/srep40290
220 rdf:type schema:CreativeWork
221 sg:pub.10.1186/1471-2164-11-129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015786810
222 https://doi.org/10.1186/1471-2164-11-129
223 rdf:type schema:CreativeWork
224 sg:pub.10.1186/1471-2164-13-648 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039001765
225 https://doi.org/10.1186/1471-2164-13-648
226 rdf:type schema:CreativeWork
227 sg:pub.10.1186/1471-2164-14-705 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017124813
228 https://doi.org/10.1186/1471-2164-14-705
229 rdf:type schema:CreativeWork
230 sg:pub.10.1186/1471-2229-14-31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000469733
231 https://doi.org/10.1186/1471-2229-14-31
232 rdf:type schema:CreativeWork
233 sg:pub.10.1186/1471-2229-14-74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047275671
234 https://doi.org/10.1186/1471-2229-14-74
235 rdf:type schema:CreativeWork
236 sg:pub.10.1385/1-59259-192-2:365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023668922
237 https://doi.org/10.1385/1-59259-192-2:365
238 rdf:type schema:CreativeWork
239 https://app.dimensions.ai/details/publication/pub.1081643579 schema:CreativeWork
240 https://app.dimensions.ai/details/publication/pub.1082577887 schema:CreativeWork
241 https://doi.org/10.1016/j.gene.2014.04.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027473232
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1016/j.tibtech.2009.05.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018973914
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1016/j.tig.2007.12.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027335183
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1016/j.ygeno.2008.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049637368
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1093/bioinformatics/17.12.1093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012655733
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1093/bioinformatics/btp324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038266369
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1093/dnares/dss036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023935039
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1093/treephys/tpr015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023525998
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1093/treephys/tps081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032288126
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1093/treephys/tpt089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000578959
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1111/gcbb.12280 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017840424
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1111/j.1365-3040.2010.02170.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012782510
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1111/pbr.12458 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084216874
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1126/science.1128691 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022607900
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1139/x03-283 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017926261
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1146/annurev-genom-082908-145957 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034370642
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1146/annurev.biochem.69.1.497 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003361647
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1371/journal.pone.0060181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039363221
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1371/journal.pone.0061337 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044714473
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1371/journal.pone.0109122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052361171
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1371/journal.pone.0121965 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033189354
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1371/journal.pone.0157777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019298112
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1515/sg-2014-0015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085921655
286 rdf:type schema:CreativeWork
287 https://doi.org/10.3389/fpls.2016.01577 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001637867
288 rdf:type schema:CreativeWork
289 https://doi.org/10.3732/ajb.1100394 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008962620
290 rdf:type schema:CreativeWork
291 https://doi.org/10.3732/ajb.1100442 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047264661
292 rdf:type schema:CreativeWork
293 https://doi.org/10.3732/apps.1400120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035277858
294 rdf:type schema:CreativeWork
295 https://doi.org/10.4236/ajps.2012.39142 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044401368
296 rdf:type schema:CreativeWork
297 https://doi.org/10.7717/peerj.2437 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040449058
298 rdf:type schema:CreativeWork
299 https://www.grid.ac/institutes/grid.410625.4 schema:alternateName Nanjing Forestry University
300 schema:name College of Biology and the Environment, Nanjing Forestry University, Longpan Road, 210037, Nanjing, China
301 rdf:type schema:Organization
302 https://www.grid.ac/institutes/grid.496720.e schema:alternateName Jiangsu Provincial Academy of Forestry Science and Management
303 schema:name College of Biology and the Environment, Nanjing Forestry University, Longpan Road, 210037, Nanjing, China
304 Department of Tree Genetics and Breeding, Jiangsu Academy of Forestry, Ningdan Road, 211153, Nanjing, China
305 Willow Nursery of the Jiangsu Provincial Platform for Conservation and Utilization of Agricultural Germplasm, Jiangsu Academy of Forestry, Ningdan Road, 211153, Nanjing, China
306 rdf:type schema:Organization
 




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


...