Comparative phylogenomic analysis provides insights into TCP gene functions in Sorghum View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Aleena Francis, Namrata Dhaka, Mohit Bakshi, Ki-Hong Jung, Manoj K. Sharma, Rita Sharma

ABSTRACT

Sorghum is a highly efficient C4 crop with potential to mitigate challenges associated with food, feed and fuel. TCP proteins are of particular interest for crop improvement programs due to their well-demonstrated roles in crop domestication and shaping plant architecture thereby, affecting agronomic traits. We identified 20 TCP genes from Sorghum. Except SbTCP8, all are either intronless or contain introns in the untranslated regions. Comparative phylogenetic analysis of Arabidopsis, rice, Brachypodium and Sorghum TCP proteins revealed two distinct classes categorized into ten sub-clades. Sub-clade F is dicot-specific, whereas A2, G1 and I1 groups only contained genes from grasses. Sub-clade B was missing in Sorghum, whereas group A1 was missing in rice indicating species-specific divergence of TCP proteins. TCP proteins of Sorghum are enriched in disorder promoting residues with class I containing higher percent disorder than class II proteins. Seven pairs of paralogous TCP genes were identified from Sorghum, five of which seem to predate Rice-Sorghum divergence. All of them have diverged in their expression. Based on the expression and orthology analysis, five Sorghum genes have been shortlisted for further investigation for their roles in regulating plant morphology. Whereas, three genes have been identified as candidates for engineering abiotic stress tolerance. More... »

PAGES

38488

References to SciGraph publications

  • 2014-12. Transcriptomic analysis of Sorghum bicolor responding to combined heat and drought stress in BMC GENOMICS
  • 2015-09. OsTCP19 influences developmental and abiotic stress signaling by modulating ABI4-mediated pathways in SCIENTIFIC REPORTS
  • 2012-01. Teosinte Branched 1 modulates tillering in rice plants in PLANT CELL REPORTS
  • 2014-12. A genome-wide association study of seed protein and oil content in soybean in BMC GENOMICS
  • 2009-01. The Sorghum bicolor genome and the diversification of grasses in NATURE
  • 2016-08. Comprehensive analysis of TCP transcription factors and their expression during cotton (Gossypium arboreum) fiber early development in SCIENTIFIC REPORTS
  • 2006-12. Distill: a suite of web servers for the prediction of one-, two- and three-dimensional structural features of proteins in BMC BIOINFORMATICS
  • 2014-12. Glycoprotein composition along the pistil of Malus x domestica and the modulation of pollen tube growth in BMC PLANT BIOLOGY
  • 1997-04. The evolution of apical dominance in maize in NATURE
  • 2013-12. The interaction between OsMADS57 and OsTB1 modulates rice tillering via DWARF14 in NATURE COMMUNICATIONS
  • 2016-03. PvTB1, a Teosinte Branched1 Gene Homolog, Negatively Regulates Tillering in Switchgrass in JOURNAL OF PLANT GROWTH REGULATION
  • 2006-12. Fast-Find: A novel computational approach to analyzing combinatorial motifs in BMC BIOINFORMATICS
  • 2010-02-11. Genome sequencing and analysis of the model grass Brachypodium distachyon in NATURE
  • 2014-12. A Sorghum bicolorexpression atlas reveals dynamic genotype-specific expression profiles for vegetative tissues of grain, sweet and bioenergy sorghums in BMC PLANT BIOLOGY
  • 1996-10. Origin of floral asymmetry in Antirrhinum in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/srep38488

    DOI

    http://dx.doi.org/10.1038/srep38488

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1004960110

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27917941


    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": "Amino Acid Sequence", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Arabidopsis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Chromosomes, Plant", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Duplication", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Expression Profiling", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Expression Regulation, Plant", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genes, Plant", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genomics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Phylogeny", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Plant Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Poaceae", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sequence Analysis, RNA", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sorghum", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Stress, Physiological", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Subcellular Fractions", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Jawaharlal Nehru University", 
              "id": "https://www.grid.ac/institutes/grid.10706.30", 
              "name": [
                "School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Mehrauli Road, New Delhi, 110067, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Francis", 
            "givenName": "Aleena", 
            "id": "sg:person.012105707651.53", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012105707651.53"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Jawaharlal Nehru University", 
              "id": "https://www.grid.ac/institutes/grid.10706.30", 
              "name": [
                "School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Mehrauli Road, New Delhi, 110067, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dhaka", 
            "givenName": "Namrata", 
            "id": "sg:person.012703270251.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012703270251.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Jawaharlal Nehru University", 
              "id": "https://www.grid.ac/institutes/grid.10706.30", 
              "name": [
                "School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Mehrauli Road, New Delhi, 110067, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bakshi", 
            "givenName": "Mohit", 
            "id": "sg:person.013500650651.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013500650651.49"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Kyung Hee University", 
              "id": "https://www.grid.ac/institutes/grid.289247.2", 
              "name": [
                "Graduate School of Biotechnology & Crop Biotech Institute, Kyung Hee University, Yongin, 17104, Republic of Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jung", 
            "givenName": "Ki-Hong", 
            "id": "sg:person.0601224224.74", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0601224224.74"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Jawaharlal Nehru University", 
              "id": "https://www.grid.ac/institutes/grid.10706.30", 
              "name": [
                "School of Biotechnology, Jawaharlal Nehru University, New Mehrauli Road, New Delhi, 110067, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sharma", 
            "givenName": "Manoj K.", 
            "id": "sg:person.0651304575.11", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651304575.11"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Jawaharlal Nehru University", 
              "id": "https://www.grid.ac/institutes/grid.10706.30", 
              "name": [
                "School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Mehrauli Road, New Delhi, 110067, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sharma", 
            "givenName": "Rita", 
            "id": "sg:person.0717417775.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717417775.08"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.tplants.2016.01.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001219039"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/molbev/msm092", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001758106"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkf436", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003376662"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/pcp/pct150", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006752416"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00344-015-9505-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007865429", 
              "https://doi.org/10.1007/s00344-015-9505-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkp335", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007915246"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkp335", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007915246"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tplants.2009.11.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008428895"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/dvg.22877", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009319297"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.112.208702", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010219787"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-14-35", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012095776", 
              "https://doi.org/10.1186/1471-2229-14-35"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.pbi.2015.02.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012157259"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-14-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012205877", 
              "https://doi.org/10.1186/1471-2229-14-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkr367", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012248325"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tig.2008.05.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012395256"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1002276", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016137582"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/383794a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016760909", 
              "https://doi.org/10.1038/383794a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.arplant.59.032607.092902", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018237405"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00299-011-1139-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020144399", 
              "https://doi.org/10.1007/s00299-011-1139-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00299-011-1139-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020144399", 
              "https://doi.org/10.1007/s00299-011-1139-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.105.074856", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020329799"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07723", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020371055", 
              "https://doi.org/10.1038/nature07723"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkv1344", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022063719"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-15-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023623483", 
              "https://doi.org/10.1186/1471-2164-15-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tplants.2015.01.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023716515"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.113.117523", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025551220"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkr944", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025874294"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.9.9.1607", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025916793"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkl976", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026152022"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1365-313x.2003.01648.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026628776"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-313x.2012.05005.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027406175"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/tpj.12527", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027678298"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08747", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027862091", 
              "https://doi.org/10.1038/nature08747"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08747", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027862091", 
              "https://doi.org/10.1038/nature08747"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/prot.21018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028987231"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-15-456", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031978333", 
              "https://doi.org/10.1186/1471-2164-15-456"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms2542", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032201954", 
              "https://doi.org/10.1038/ncomms2542"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/pcp/pcu187", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033737918"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.108.128231", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035476899"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1071/fp12269", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036907906"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1167206", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037557617"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1167206", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037557617"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1039/c3mb70128j", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038192385"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0011335", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038746836"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.125.2.595", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039357440"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.pbi.2016.05.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039693320"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/17.8.721", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042196736"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bies.201200073", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045955519"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-7-402", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047124036", 
              "https://doi.org/10.1186/1471-2105-7-402"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-7-402", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047124036", 
              "https://doi.org/10.1186/1471-2105-7-402"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jxb/eru229", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047229249"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1365-313x.1999.00444.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048256252"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep21535", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049962443", 
              "https://doi.org/10.1038/srep21535"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkm841", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050399589"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/386485a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050653323", 
              "https://doi.org/10.1038/386485a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-7-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052642623", 
              "https://doi.org/10.1186/1471-2105-7-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep09998", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052703061", 
              "https://doi.org/10.1038/srep09998"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkm259", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053546100"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.108.128579", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053554141"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jf950580x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055928320"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jf950580x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055928320"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/15592324.2015.1044192", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058407416"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.323.5914.573", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062600704"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2135/cropsci1978.0011183x001800020002x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069017770"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2135/cropsci2015.01.0057", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069032614"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/3870447", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1070468342"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-12", 
        "datePublishedReg": "2016-12-01", 
        "description": "Sorghum is a highly efficient C4 crop with potential to mitigate challenges associated with food, feed and fuel. TCP proteins are of particular interest for crop improvement programs due to their well-demonstrated roles in crop domestication and shaping plant architecture thereby, affecting agronomic traits. We identified 20 TCP genes from Sorghum. Except SbTCP8, all are either intronless or contain introns in the untranslated regions. Comparative phylogenetic analysis of Arabidopsis, rice, Brachypodium and Sorghum TCP proteins revealed two distinct classes categorized into ten sub-clades. Sub-clade F is dicot-specific, whereas A2, G1 and I1 groups only contained genes from grasses. Sub-clade B was missing in Sorghum, whereas group A1 was missing in rice indicating species-specific divergence of TCP proteins. TCP proteins of Sorghum are enriched in disorder promoting residues with class I containing higher percent disorder than class II proteins. Seven pairs of paralogous TCP genes were identified from Sorghum, five of which seem to predate Rice-Sorghum divergence. All of them have diverged in their expression. Based on the expression and orthology analysis, five Sorghum genes have been shortlisted for further investigation for their roles in regulating plant morphology. Whereas, three genes have been identified as candidates for engineering abiotic stress tolerance.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/srep38488", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1045337", 
            "issn": [
              "2045-2322"
            ], 
            "name": "Scientific Reports", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "6"
          }
        ], 
        "name": "Comparative phylogenomic analysis provides insights into TCP gene functions in Sorghum", 
        "pagination": "38488", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "17a2dcc306717e5dfa2823ab90e655672567885f7def184cb4ca9b551808d5c3"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "27917941"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101563288"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/srep38488"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1004960110"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/srep38488", 
          "https://app.dimensions.ai/details/publication/pub.1004960110"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T23:31", 
        "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/v90/0000000001_0000000264/records_8693_00000549.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://www.nature.com/articles/srep38488"
      }
    ]
     

    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.10.1038/srep38488'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/srep38488'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep38488'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep38488'


     

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

    362 TRIPLES      21 PREDICATES      104 URIs      36 LITERALS      24 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/srep38488 schema:about N19dd3f9cc4214d5ebaf9c5173a038e0e
    2 N2708fbba876b4f1fb77dd45dff7212ea
    3 N5bba5e5c639b40a6aeda93de26ef90a5
    4 N6881a418afb04bef95bef76232b49924
    5 N7616d09a0a3f45e7891348aeaa6aff04
    6 N8867cf96b506407db8eb6ef227982c6b
    7 N88872ea2917b4f538aafd1973045123c
    8 N8e5ae5eef08b4ad0a3471e89025f9ef3
    9 N98cdb1f7864245e1b166078a8bee6f7a
    10 Nc6974cd20ea14351940194b972b25f49
    11 Nc6a0658c8f2d48e0b9e7a0ff4108e046
    12 Ncba12b9f44c14bc9a00e041fa99e6899
    13 Ncf98542798bf44178629620ec8892042
    14 Nd319b95d443844e3a3eeecb363a62af5
    15 Ne15878076e2c4f1f8e62948655b12dc5
    16 anzsrc-for:06
    17 anzsrc-for:0604
    18 schema:author N5bdaadf95815426987111d07a1d7aa3b
    19 schema:citation sg:pub.10.1007/s00299-011-1139-2
    20 sg:pub.10.1007/s00344-015-9505-x
    21 sg:pub.10.1038/383794a0
    22 sg:pub.10.1038/386485a0
    23 sg:pub.10.1038/nature07723
    24 sg:pub.10.1038/nature08747
    25 sg:pub.10.1038/ncomms2542
    26 sg:pub.10.1038/srep09998
    27 sg:pub.10.1038/srep21535
    28 sg:pub.10.1186/1471-2105-7-1
    29 sg:pub.10.1186/1471-2105-7-402
    30 sg:pub.10.1186/1471-2164-15-1
    31 sg:pub.10.1186/1471-2164-15-456
    32 sg:pub.10.1186/1471-2229-14-1
    33 sg:pub.10.1186/1471-2229-14-35
    34 https://doi.org/10.1002/bies.201200073
    35 https://doi.org/10.1002/dvg.22877
    36 https://doi.org/10.1002/prot.21018
    37 https://doi.org/10.1016/j.pbi.2015.02.008
    38 https://doi.org/10.1016/j.pbi.2016.05.006
    39 https://doi.org/10.1016/j.tig.2008.05.006
    40 https://doi.org/10.1016/j.tplants.2009.11.003
    41 https://doi.org/10.1016/j.tplants.2015.01.005
    42 https://doi.org/10.1016/j.tplants.2016.01.014
    43 https://doi.org/10.1021/jf950580x
    44 https://doi.org/10.1039/c3mb70128j
    45 https://doi.org/10.1046/j.1365-313x.1999.00444.x
    46 https://doi.org/10.1046/j.1365-313x.2003.01648.x
    47 https://doi.org/10.1071/fp12269
    48 https://doi.org/10.1080/15592324.2015.1044192
    49 https://doi.org/10.1093/bioinformatics/17.8.721
    50 https://doi.org/10.1093/jxb/eru229
    51 https://doi.org/10.1093/molbev/msm092
    52 https://doi.org/10.1093/nar/gkf436
    53 https://doi.org/10.1093/nar/gkl976
    54 https://doi.org/10.1093/nar/gkm259
    55 https://doi.org/10.1093/nar/gkm841
    56 https://doi.org/10.1093/nar/gkp335
    57 https://doi.org/10.1093/nar/gkr367
    58 https://doi.org/10.1093/nar/gkr944
    59 https://doi.org/10.1093/nar/gkv1344
    60 https://doi.org/10.1093/pcp/pct150
    61 https://doi.org/10.1093/pcp/pcu187
    62 https://doi.org/10.1104/pp.105.074856
    63 https://doi.org/10.1104/pp.108.128231
    64 https://doi.org/10.1104/pp.108.128579
    65 https://doi.org/10.1104/pp.112.208702
    66 https://doi.org/10.1104/pp.125.2.595
    67 https://doi.org/10.1105/tpc.113.117523
    68 https://doi.org/10.1105/tpc.9.9.1607
    69 https://doi.org/10.1111/j.1365-313x.2012.05005.x
    70 https://doi.org/10.1111/tpj.12527
    71 https://doi.org/10.1126/science.1167206
    72 https://doi.org/10.1126/science.323.5914.573
    73 https://doi.org/10.1146/annurev.arplant.59.032607.092902
    74 https://doi.org/10.1371/journal.pgen.1002276
    75 https://doi.org/10.1371/journal.pone.0011335
    76 https://doi.org/10.2135/cropsci1978.0011183x001800020002x
    77 https://doi.org/10.2135/cropsci2015.01.0057
    78 https://doi.org/10.2307/3870447
    79 schema:datePublished 2016-12
    80 schema:datePublishedReg 2016-12-01
    81 schema:description Sorghum is a highly efficient C4 crop with potential to mitigate challenges associated with food, feed and fuel. TCP proteins are of particular interest for crop improvement programs due to their well-demonstrated roles in crop domestication and shaping plant architecture thereby, affecting agronomic traits. We identified 20 TCP genes from Sorghum. Except SbTCP8, all are either intronless or contain introns in the untranslated regions. Comparative phylogenetic analysis of Arabidopsis, rice, Brachypodium and Sorghum TCP proteins revealed two distinct classes categorized into ten sub-clades. Sub-clade F is dicot-specific, whereas A2, G1 and I1 groups only contained genes from grasses. Sub-clade B was missing in Sorghum, whereas group A1 was missing in rice indicating species-specific divergence of TCP proteins. TCP proteins of Sorghum are enriched in disorder promoting residues with class I containing higher percent disorder than class II proteins. Seven pairs of paralogous TCP genes were identified from Sorghum, five of which seem to predate Rice-Sorghum divergence. All of them have diverged in their expression. Based on the expression and orthology analysis, five Sorghum genes have been shortlisted for further investigation for their roles in regulating plant morphology. Whereas, three genes have been identified as candidates for engineering abiotic stress tolerance.
    82 schema:genre research_article
    83 schema:inLanguage en
    84 schema:isAccessibleForFree true
    85 schema:isPartOf Na0386cfdddc245dc9b86fb9790700134
    86 Na0b37ae502d04472887aa79f770766f8
    87 sg:journal.1045337
    88 schema:name Comparative phylogenomic analysis provides insights into TCP gene functions in Sorghum
    89 schema:pagination 38488
    90 schema:productId N19860294f9344fca84af5a670e5df126
    91 N7f96c10ebe6847b3bc2d00cc38d6f721
    92 Na559441dc3de4aee8ce9f6441d7b7b31
    93 Nb8c0491a0194441a9d4384a42892a959
    94 Nd84e3f3d37374b2a809044a5538eeb4f
    95 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004960110
    96 https://doi.org/10.1038/srep38488
    97 schema:sdDatePublished 2019-04-10T23:31
    98 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    99 schema:sdPublisher N2154587c8f024331952a6da0f269f095
    100 schema:url http://www.nature.com/articles/srep38488
    101 sgo:license sg:explorer/license/
    102 sgo:sdDataset articles
    103 rdf:type schema:ScholarlyArticle
    104 N14692bc5da3c444896912af859d10eb3 rdf:first sg:person.0651304575.11
    105 rdf:rest N3b027abd20d045d0ac63458cbed39be0
    106 N1608dfb5049e4aaa866f6b5df946ee4e rdf:first sg:person.013500650651.49
    107 rdf:rest N4463f65aac5547aab4d7e35dd1dacc74
    108 N19860294f9344fca84af5a670e5df126 schema:name readcube_id
    109 schema:value 17a2dcc306717e5dfa2823ab90e655672567885f7def184cb4ca9b551808d5c3
    110 rdf:type schema:PropertyValue
    111 N19dd3f9cc4214d5ebaf9c5173a038e0e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    112 schema:name Arabidopsis
    113 rdf:type schema:DefinedTerm
    114 N2154587c8f024331952a6da0f269f095 schema:name Springer Nature - SN SciGraph project
    115 rdf:type schema:Organization
    116 N2708fbba876b4f1fb77dd45dff7212ea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    117 schema:name Gene Duplication
    118 rdf:type schema:DefinedTerm
    119 N3b027abd20d045d0ac63458cbed39be0 rdf:first sg:person.0717417775.08
    120 rdf:rest rdf:nil
    121 N4463f65aac5547aab4d7e35dd1dacc74 rdf:first sg:person.0601224224.74
    122 rdf:rest N14692bc5da3c444896912af859d10eb3
    123 N545ce4f45cf84e33a4686539be39c736 rdf:first sg:person.012703270251.10
    124 rdf:rest N1608dfb5049e4aaa866f6b5df946ee4e
    125 N5bba5e5c639b40a6aeda93de26ef90a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    126 schema:name Sorghum
    127 rdf:type schema:DefinedTerm
    128 N5bdaadf95815426987111d07a1d7aa3b rdf:first sg:person.012105707651.53
    129 rdf:rest N545ce4f45cf84e33a4686539be39c736
    130 N6881a418afb04bef95bef76232b49924 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    131 schema:name Chromosomes, Plant
    132 rdf:type schema:DefinedTerm
    133 N7616d09a0a3f45e7891348aeaa6aff04 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    134 schema:name Amino Acid Sequence
    135 rdf:type schema:DefinedTerm
    136 N7f96c10ebe6847b3bc2d00cc38d6f721 schema:name dimensions_id
    137 schema:value pub.1004960110
    138 rdf:type schema:PropertyValue
    139 N8867cf96b506407db8eb6ef227982c6b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    140 schema:name Gene Expression Regulation, Plant
    141 rdf:type schema:DefinedTerm
    142 N88872ea2917b4f538aafd1973045123c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    143 schema:name Plant Proteins
    144 rdf:type schema:DefinedTerm
    145 N8e5ae5eef08b4ad0a3471e89025f9ef3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    146 schema:name Stress, Physiological
    147 rdf:type schema:DefinedTerm
    148 N98cdb1f7864245e1b166078a8bee6f7a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    149 schema:name Gene Expression Profiling
    150 rdf:type schema:DefinedTerm
    151 Na0386cfdddc245dc9b86fb9790700134 schema:volumeNumber 6
    152 rdf:type schema:PublicationVolume
    153 Na0b37ae502d04472887aa79f770766f8 schema:issueNumber 1
    154 rdf:type schema:PublicationIssue
    155 Na559441dc3de4aee8ce9f6441d7b7b31 schema:name doi
    156 schema:value 10.1038/srep38488
    157 rdf:type schema:PropertyValue
    158 Nb8c0491a0194441a9d4384a42892a959 schema:name pubmed_id
    159 schema:value 27917941
    160 rdf:type schema:PropertyValue
    161 Nc6974cd20ea14351940194b972b25f49 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    162 schema:name Phylogeny
    163 rdf:type schema:DefinedTerm
    164 Nc6a0658c8f2d48e0b9e7a0ff4108e046 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    165 schema:name Genomics
    166 rdf:type schema:DefinedTerm
    167 Ncba12b9f44c14bc9a00e041fa99e6899 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    168 schema:name Sequence Analysis, RNA
    169 rdf:type schema:DefinedTerm
    170 Ncf98542798bf44178629620ec8892042 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    171 schema:name Genes, Plant
    172 rdf:type schema:DefinedTerm
    173 Nd319b95d443844e3a3eeecb363a62af5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    174 schema:name Poaceae
    175 rdf:type schema:DefinedTerm
    176 Nd84e3f3d37374b2a809044a5538eeb4f schema:name nlm_unique_id
    177 schema:value 101563288
    178 rdf:type schema:PropertyValue
    179 Ne15878076e2c4f1f8e62948655b12dc5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    180 schema:name Subcellular Fractions
    181 rdf:type schema:DefinedTerm
    182 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    183 schema:name Biological Sciences
    184 rdf:type schema:DefinedTerm
    185 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    186 schema:name Genetics
    187 rdf:type schema:DefinedTerm
    188 sg:journal.1045337 schema:issn 2045-2322
    189 schema:name Scientific Reports
    190 rdf:type schema:Periodical
    191 sg:person.012105707651.53 schema:affiliation https://www.grid.ac/institutes/grid.10706.30
    192 schema:familyName Francis
    193 schema:givenName Aleena
    194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012105707651.53
    195 rdf:type schema:Person
    196 sg:person.012703270251.10 schema:affiliation https://www.grid.ac/institutes/grid.10706.30
    197 schema:familyName Dhaka
    198 schema:givenName Namrata
    199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012703270251.10
    200 rdf:type schema:Person
    201 sg:person.013500650651.49 schema:affiliation https://www.grid.ac/institutes/grid.10706.30
    202 schema:familyName Bakshi
    203 schema:givenName Mohit
    204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013500650651.49
    205 rdf:type schema:Person
    206 sg:person.0601224224.74 schema:affiliation https://www.grid.ac/institutes/grid.289247.2
    207 schema:familyName Jung
    208 schema:givenName Ki-Hong
    209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0601224224.74
    210 rdf:type schema:Person
    211 sg:person.0651304575.11 schema:affiliation https://www.grid.ac/institutes/grid.10706.30
    212 schema:familyName Sharma
    213 schema:givenName Manoj K.
    214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651304575.11
    215 rdf:type schema:Person
    216 sg:person.0717417775.08 schema:affiliation https://www.grid.ac/institutes/grid.10706.30
    217 schema:familyName Sharma
    218 schema:givenName Rita
    219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717417775.08
    220 rdf:type schema:Person
    221 sg:pub.10.1007/s00299-011-1139-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020144399
    222 https://doi.org/10.1007/s00299-011-1139-2
    223 rdf:type schema:CreativeWork
    224 sg:pub.10.1007/s00344-015-9505-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007865429
    225 https://doi.org/10.1007/s00344-015-9505-x
    226 rdf:type schema:CreativeWork
    227 sg:pub.10.1038/383794a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016760909
    228 https://doi.org/10.1038/383794a0
    229 rdf:type schema:CreativeWork
    230 sg:pub.10.1038/386485a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050653323
    231 https://doi.org/10.1038/386485a0
    232 rdf:type schema:CreativeWork
    233 sg:pub.10.1038/nature07723 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020371055
    234 https://doi.org/10.1038/nature07723
    235 rdf:type schema:CreativeWork
    236 sg:pub.10.1038/nature08747 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027862091
    237 https://doi.org/10.1038/nature08747
    238 rdf:type schema:CreativeWork
    239 sg:pub.10.1038/ncomms2542 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032201954
    240 https://doi.org/10.1038/ncomms2542
    241 rdf:type schema:CreativeWork
    242 sg:pub.10.1038/srep09998 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052703061
    243 https://doi.org/10.1038/srep09998
    244 rdf:type schema:CreativeWork
    245 sg:pub.10.1038/srep21535 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049962443
    246 https://doi.org/10.1038/srep21535
    247 rdf:type schema:CreativeWork
    248 sg:pub.10.1186/1471-2105-7-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052642623
    249 https://doi.org/10.1186/1471-2105-7-1
    250 rdf:type schema:CreativeWork
    251 sg:pub.10.1186/1471-2105-7-402 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047124036
    252 https://doi.org/10.1186/1471-2105-7-402
    253 rdf:type schema:CreativeWork
    254 sg:pub.10.1186/1471-2164-15-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023623483
    255 https://doi.org/10.1186/1471-2164-15-1
    256 rdf:type schema:CreativeWork
    257 sg:pub.10.1186/1471-2164-15-456 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031978333
    258 https://doi.org/10.1186/1471-2164-15-456
    259 rdf:type schema:CreativeWork
    260 sg:pub.10.1186/1471-2229-14-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012205877
    261 https://doi.org/10.1186/1471-2229-14-1
    262 rdf:type schema:CreativeWork
    263 sg:pub.10.1186/1471-2229-14-35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012095776
    264 https://doi.org/10.1186/1471-2229-14-35
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1002/bies.201200073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045955519
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1002/dvg.22877 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009319297
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1002/prot.21018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028987231
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1016/j.pbi.2015.02.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012157259
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1016/j.pbi.2016.05.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039693320
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1016/j.tig.2008.05.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012395256
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1016/j.tplants.2009.11.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008428895
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1016/j.tplants.2015.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023716515
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1016/j.tplants.2016.01.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001219039
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1021/jf950580x schema:sameAs https://app.dimensions.ai/details/publication/pub.1055928320
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1039/c3mb70128j schema:sameAs https://app.dimensions.ai/details/publication/pub.1038192385
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1046/j.1365-313x.1999.00444.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048256252
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1046/j.1365-313x.2003.01648.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1026628776
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1071/fp12269 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036907906
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1080/15592324.2015.1044192 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058407416
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1093/bioinformatics/17.8.721 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042196736
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.1093/jxb/eru229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047229249
    299 rdf:type schema:CreativeWork
    300 https://doi.org/10.1093/molbev/msm092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001758106
    301 rdf:type schema:CreativeWork
    302 https://doi.org/10.1093/nar/gkf436 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003376662
    303 rdf:type schema:CreativeWork
    304 https://doi.org/10.1093/nar/gkl976 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026152022
    305 rdf:type schema:CreativeWork
    306 https://doi.org/10.1093/nar/gkm259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053546100
    307 rdf:type schema:CreativeWork
    308 https://doi.org/10.1093/nar/gkm841 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050399589
    309 rdf:type schema:CreativeWork
    310 https://doi.org/10.1093/nar/gkp335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007915246
    311 rdf:type schema:CreativeWork
    312 https://doi.org/10.1093/nar/gkr367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012248325
    313 rdf:type schema:CreativeWork
    314 https://doi.org/10.1093/nar/gkr944 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025874294
    315 rdf:type schema:CreativeWork
    316 https://doi.org/10.1093/nar/gkv1344 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022063719
    317 rdf:type schema:CreativeWork
    318 https://doi.org/10.1093/pcp/pct150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006752416
    319 rdf:type schema:CreativeWork
    320 https://doi.org/10.1093/pcp/pcu187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033737918
    321 rdf:type schema:CreativeWork
    322 https://doi.org/10.1104/pp.105.074856 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020329799
    323 rdf:type schema:CreativeWork
    324 https://doi.org/10.1104/pp.108.128231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035476899
    325 rdf:type schema:CreativeWork
    326 https://doi.org/10.1104/pp.108.128579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053554141
    327 rdf:type schema:CreativeWork
    328 https://doi.org/10.1104/pp.112.208702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010219787
    329 rdf:type schema:CreativeWork
    330 https://doi.org/10.1104/pp.125.2.595 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039357440
    331 rdf:type schema:CreativeWork
    332 https://doi.org/10.1105/tpc.113.117523 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025551220
    333 rdf:type schema:CreativeWork
    334 https://doi.org/10.1105/tpc.9.9.1607 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025916793
    335 rdf:type schema:CreativeWork
    336 https://doi.org/10.1111/j.1365-313x.2012.05005.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1027406175
    337 rdf:type schema:CreativeWork
    338 https://doi.org/10.1111/tpj.12527 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027678298
    339 rdf:type schema:CreativeWork
    340 https://doi.org/10.1126/science.1167206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037557617
    341 rdf:type schema:CreativeWork
    342 https://doi.org/10.1126/science.323.5914.573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062600704
    343 rdf:type schema:CreativeWork
    344 https://doi.org/10.1146/annurev.arplant.59.032607.092902 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018237405
    345 rdf:type schema:CreativeWork
    346 https://doi.org/10.1371/journal.pgen.1002276 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016137582
    347 rdf:type schema:CreativeWork
    348 https://doi.org/10.1371/journal.pone.0011335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038746836
    349 rdf:type schema:CreativeWork
    350 https://doi.org/10.2135/cropsci1978.0011183x001800020002x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069017770
    351 rdf:type schema:CreativeWork
    352 https://doi.org/10.2135/cropsci2015.01.0057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069032614
    353 rdf:type schema:CreativeWork
    354 https://doi.org/10.2307/3870447 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070468342
    355 rdf:type schema:CreativeWork
    356 https://www.grid.ac/institutes/grid.10706.30 schema:alternateName Jawaharlal Nehru University
    357 schema:name School of Biotechnology, Jawaharlal Nehru University, New Mehrauli Road, New Delhi, 110067, India
    358 School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Mehrauli Road, New Delhi, 110067, India
    359 rdf:type schema:Organization
    360 https://www.grid.ac/institutes/grid.289247.2 schema:alternateName Kyung Hee University
    361 schema:name Graduate School of Biotechnology & Crop Biotech Institute, Kyung Hee University, Yongin, 17104, Republic of Korea
    362 rdf:type schema:Organization
     




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


    ...