Computational identification and analysis of novel sugarcane microRNAs View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-12

AUTHORS

Flávia Thiebaut, Clícia Grativol, Mariana Carnavale-Bottino, Cristian Antonio Rojas, Milos Tanurdzic, Laurent Farinelli, Robert A Martienssen, Adriana Silva Hemerly, Paulo Cavalcanti Gomes Ferreira

ABSTRACT

BACKGROUND: MicroRNA-regulation of gene expression plays a key role in the development and response to biotic and abiotic stresses. Deep sequencing analyses accelerate the process of small RNA discovery in many plants and expand our understanding of miRNA-regulated processes. We therefore undertook small RNA sequencing of sugarcane miRNAs in order to understand their complexity and to explore their role in sugarcane biology. RESULTS: A bioinformatics search was carried out to discover novel miRNAs that can be regulated in sugarcane plants submitted to drought and salt stresses, and under pathogen infection. By means of the presence of miRNA precursors in the related sorghum genome, we identified 623 candidates of new mature miRNAs in sugarcane. Of these, 44 were classified as high confidence miRNAs. The biological function of the new miRNAs candidates was assessed by analyzing their putative targets. The set of bona fide sugarcane miRNA includes those likely targeting serine/threonine kinases, Myb and zinc finger proteins. Additionally, a MADS-box transcription factor and an RPP2B protein, which act in development and disease resistant processes, could be regulated by cleavage (21-nt-species) and DNA methylation (24-nt-species), respectively. CONCLUSIONS: A large scale investigation of sRNA in sugarcane using a computational approach has identified a substantial number of new miRNAs and provides detailed genotype-tissue-culture miRNA expression profiles. Comparative analysis between monocots was valuable to clarify aspects about conservation of miRNA and their targets in a plant whose genome has not yet been sequenced. Our findings contribute to knowledge of miRNA roles in regulatory pathways in the complex, polyploidy sugarcane genome. More... »

PAGES

290

References to SciGraph publications

  • 2009-10. Molecular characterization of a defense-related AMP-binding protein gene, OsBIABP1, from rice in JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B
  • 2008-12. Genome-wide identification, organization and phylogenetic analysis of Dicer-like, Argonaute and RNA-dependent RNA Polymerase gene families and their expression analysis during reproductive development and stress in rice in BMC GENOMICS
  • 2006-01. Evidence that miRNAs are different from other RNAs in CELLULAR AND MOLECULAR LIFE SCIENCES
  • 2006-05. Bone morphogenetic protein signaling by hemojuvelin regulates hepcidin expression in NATURE GENETICS
  • 2011-12. Identification of drought-responsive microRNAs in Medicago truncatula by genome-wide high-throughput sequencing in BMC GENOMICS
  • 2007-11. Specialization and evolution of endogenous small RNA pathways in NATURE REVIEWS GENETICS
  • 2006-06. Functions of microRNAs and related small RNAs in plants in NATURE GENETICS
  • 2011-06. Deep sequencing on genome-wide scale reveals the unique composition and expression patterns of microRNAs in developing pollen of Oryza sativa in GENOME BIOLOGY
  • 2011-04. MicroRNA-mediated DNA methylation in plants in FRONTIERS IN BIOLOGY
  • 2009-01. The Sorghum bicolor genome and the diversification of grasses in NATURE
  • 2007-12. Protocol: a highly sensitive RT-PCR method for detection and quantification of microRNAs in PLANT METHODS
  • 2009-03. Biotic and abiotic stress down-regulate miR398 expression in Arabidopsis in PLANTA
  • 2011-12. Identification of novel soybean microRNAs involved in abiotic and biotic stresses in BMC GENOMICS
  • 2005-11. Conservation and divergence of microRNA families in plants in GENOME BIOLOGY
  • 2006-07. Erratum: Functions of microRNAs and related small RNAs in plants in NATURE GENETICS
  • 2010-12. Erratum to: High throughput approaches reveal splicing of primary microRNA transcripts and tissue specific expression of mature microRNAs in Vitis vinifera in BMC GENOMICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1471-2164-13-290

    DOI

    http://dx.doi.org/10.1186/1471-2164-13-290

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1045590423

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/22747909


    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": "Computational Biology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Droughts", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Expression Regulation, Plant", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "MADS Domain Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "MicroRNAs", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Nucleic Acid Conformation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Protein-Serine-Threonine Kinases", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "RNA, Plant", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Ribosomal Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Saccharum", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Salts", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Federal University of Rio de Janeiro", 
              "id": "https://www.grid.ac/institutes/grid.8536.8", 
              "name": [
                "Laboratorio de Biologia Molecular de Plantas, Instituto de Bioqu\u00edmica M\u00e9dica, Universidade Federal do Rio de Janeiro, Rua Rodolpho Paulo Rocco s/n\u00b0, CCS, Bl.B-33A, Cidade Universit\u00e1ria 21941-590, Rio de Janeiro, RJ, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Thiebaut", 
            "givenName": "Fl\u00e1via", 
            "id": "sg:person.0623233777.99", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623233777.99"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Federal University of Rio de Janeiro", 
              "id": "https://www.grid.ac/institutes/grid.8536.8", 
              "name": [
                "Laboratorio de Biologia Molecular de Plantas, Instituto de Bioqu\u00edmica M\u00e9dica, Universidade Federal do Rio de Janeiro, Rua Rodolpho Paulo Rocco s/n\u00b0, CCS, Bl.B-33A, Cidade Universit\u00e1ria 21941-590, Rio de Janeiro, RJ, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Grativol", 
            "givenName": "Cl\u00edcia", 
            "id": "sg:person.01122024177.53", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01122024177.53"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Federal University of Rio de Janeiro", 
              "id": "https://www.grid.ac/institutes/grid.8536.8", 
              "name": [
                "Laboratorio de Biologia Molecular de Plantas, Instituto de Bioqu\u00edmica M\u00e9dica, Universidade Federal do Rio de Janeiro, Rua Rodolpho Paulo Rocco s/n\u00b0, CCS, Bl.B-33A, Cidade Universit\u00e1ria 21941-590, Rio de Janeiro, RJ, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Carnavale-Bottino", 
            "givenName": "Mariana", 
            "id": "sg:person.01156265065.95", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01156265065.95"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universidade Federal da Integra\u00e7\u00e3o Latino-Americana", 
              "id": "https://www.grid.ac/institutes/grid.449851.5", 
              "name": [
                "Universidade Federal da Integra\u00e7\u00e3o Latino-Americana, Av. Tancredo Neves, 6731, Bl.4, 85867-970, Foz do Igua\u00e7u, PR, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rojas", 
            "givenName": "Cristian Antonio", 
            "id": "sg:person.01224400265.29", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224400265.29"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Queensland", 
              "id": "https://www.grid.ac/institutes/grid.1003.2", 
              "name": [
                "School of Biological Sciences, The University of Queensland, 4072, St Lucia, QLD, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tanurdzic", 
            "givenName": "Milos", 
            "id": "sg:person.01120576107.81", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120576107.81"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Fasteris SA, 1228-Plan-les-Ouates, Switzerland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Farinelli", 
            "givenName": "Laurent", 
            "id": "sg:person.01361561544.23", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361561544.23"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Cold Spring Harbor Laboratory", 
              "id": "https://www.grid.ac/institutes/grid.225279.9", 
              "name": [
                "Cold Spring Harbor Laboratory, 1 Bungtown RD, 11724, Cold Spring Harbor, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Martienssen", 
            "givenName": "Robert A", 
            "id": "sg:person.015630426237.76", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015630426237.76"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Federal University of Rio de Janeiro", 
              "id": "https://www.grid.ac/institutes/grid.8536.8", 
              "name": [
                "Laboratorio de Biologia Molecular de Plantas, Instituto de Bioqu\u00edmica M\u00e9dica, Universidade Federal do Rio de Janeiro, Rua Rodolpho Paulo Rocco s/n\u00b0, CCS, Bl.B-33A, Cidade Universit\u00e1ria 21941-590, Rio de Janeiro, RJ, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hemerly", 
            "givenName": "Adriana Silva", 
            "id": "sg:person.01217205370.56", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217205370.56"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Federal University of Rio de Janeiro", 
              "id": "https://www.grid.ac/institutes/grid.8536.8", 
              "name": [
                "Laboratorio de Biologia Molecular de Plantas, Instituto de Bioqu\u00edmica M\u00e9dica, Universidade Federal do Rio de Janeiro, Rua Rodolpho Paulo Rocco s/n\u00b0, CCS, Bl.B-33A, Cidade Universit\u00e1ria 21941-590, Rio de Janeiro, RJ, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ferreira", 
            "givenName": "Paulo Cavalcanti Gomes", 
            "id": "sg:person.014211600012.86", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014211600012.86"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.pbi.2010.04.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000043949"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-12-307", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000607519", 
              "https://doi.org/10.1186/1471-2164-12-307"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bbrc.2011.02.045", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004126587"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1088060", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009270086"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-11-109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009277965", 
              "https://doi.org/10.1186/1471-2164-11-109"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jxb/err155", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009752182"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tplants.2008.03.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011827985"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pbio.0060302", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012722667"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0092-8674(02)00863-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013070988"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2011-12-6-r53", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013380511", 
              "https://doi.org/10.1186/gb-2011-12-6-r53"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0022-2836(05)80360-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013618994"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gni178", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013863738"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0505461102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015208958"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.108.064311", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016746630"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2008.02.034", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017460687"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3732/ajb.0900346", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017797177"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.103.033878", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018191837"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-3040.2011.02430.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019046952"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rspb.2001.1782", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019134285"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.arplant.58.032806.103835", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019949209"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btn428", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019983784"
            ], 
            "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/10.1371/journal.pone.0021330", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020658481"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3732/ajb.91.10.1614", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020892155"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1631/jzus.b0920042", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021514306", 
              "https://doi.org/10.1631/jzus.b0920042"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1631/jzus.b0920042", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021514306", 
              "https://doi.org/10.1631/jzus.b0920042"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1155/2008/458732", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022933663"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.copbio.2006.01.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023227157"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.5530106", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023663067"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.125.3.1198", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024328567"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1469-8137.2009.02915.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025411109"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1469-8137.2009.02915.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025411109"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0405570102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025512076"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/pcp/pcr106", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027186915"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.120.4.969", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027615233"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00018-005-5467-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029121648", 
              "https://doi.org/10.1007/s00018-005-5467-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-313x.2006.02980.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029233823"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molcel.2010.03.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030203269"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ygeno.2011.08.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030991865"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1791", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031824197", 
              "https://doi.org/10.1038/ng1791"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1791", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031824197", 
              "https://doi.org/10.1038/ng1791"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1791", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031824197", 
              "https://doi.org/10.1038/ng1791"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-9-451", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033953436", 
              "https://doi.org/10.1186/1471-2164-9-451"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkn670", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034304482"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.109.068130", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034448877"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.pbi.2009.07.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034473089"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.pbi.2004.11.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035292807"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11515-011-1136-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035549346", 
              "https://doi.org/10.1007/s11515-011-1136-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/aob/mcn205", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035624368"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkq310", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035803022"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1107130", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035999990"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2005.04.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036462266"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1746-4811-3-12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037484394", 
              "https://doi.org/10.1186/1746-4811-3-12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1126088", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039325280"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1242/jcs.00838", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040698698"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng0706-850b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041484995", 
              "https://doi.org/10.1038/ng0706-850b"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng0706-850b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041484995", 
              "https://doi.org/10.1038/ng0706-850b"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1369-5266(02)00234-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041629972"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.105.030841", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042000241"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.110.082784", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042445220"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1777", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043648066", 
              "https://doi.org/10.1038/ng1777"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1777", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043648066", 
              "https://doi.org/10.1038/ng1777"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.107.053199", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043994389"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.123547.111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044135542"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-313x.2008.03497.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044767149"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.devcel.2005.01.018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045514568"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-12-367", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046224542", 
              "https://doi.org/10.1186/1471-2164-12-367"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2179", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047493400", 
              "https://doi.org/10.1038/nrg2179"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2005-6-11-p13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047630082", 
              "https://doi.org/10.1186/gb-2005-6-11-p13"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.279.5349.407", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047668416"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00425-009-0889-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052910096", 
              "https://doi.org/10.1007/s00425-009-0889-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00425-009-0889-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052910096", 
              "https://doi.org/10.1007/s00425-009-0889-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.pbi.2006.05.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053234623"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkq1027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053382169"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2012-12", 
        "datePublishedReg": "2012-12-01", 
        "description": "BACKGROUND: MicroRNA-regulation of gene expression plays a key role in the development and response to biotic and abiotic stresses. Deep sequencing analyses accelerate the process of small RNA discovery in many plants and expand our understanding of miRNA-regulated processes. We therefore undertook small RNA sequencing of sugarcane miRNAs in order to understand their complexity and to explore their role in sugarcane biology.\nRESULTS: A bioinformatics search was carried out to discover novel miRNAs that can be regulated in sugarcane plants submitted to drought and salt stresses, and under pathogen infection. By means of the presence of miRNA precursors in the related sorghum genome, we identified 623 candidates of new mature miRNAs in sugarcane. Of these, 44 were classified as high confidence miRNAs. The biological function of the new miRNAs candidates was assessed by analyzing their putative targets. The set of bona fide sugarcane miRNA includes those likely targeting serine/threonine kinases, Myb and zinc finger proteins. Additionally, a MADS-box transcription factor and an RPP2B protein, which act in development and disease resistant processes, could be regulated by cleavage (21-nt-species) and DNA methylation (24-nt-species), respectively.\nCONCLUSIONS: A large scale investigation of sRNA in sugarcane using a computational approach has identified a substantial number of new miRNAs and provides detailed genotype-tissue-culture miRNA expression profiles. Comparative analysis between monocots was valuable to clarify aspects about conservation of miRNA and their targets in a plant whose genome has not yet been sequenced. Our findings contribute to knowledge of miRNA roles in regulatory pathways in the complex, polyploidy sugarcane genome.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/1471-2164-13-290", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.2517722", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1023790", 
            "issn": [
              "1471-2164"
            ], 
            "name": "BMC Genomics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "13"
          }
        ], 
        "name": "Computational identification and analysis of novel sugarcane microRNAs", 
        "pagination": "290", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "d92aecea87b991b0048ce5364183edaee28680ba7ca003eeb9f3f5f9a56ed522"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "22747909"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "100965258"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/1471-2164-13-290"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1045590423"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/1471-2164-13-290", 
          "https://app.dimensions.ai/details/publication/pub.1045590423"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T16:49", 
        "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_8669_00000551.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1186%2F1471-2164-13-290"
      }
    ]
     

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

    HOW TO GET THIS DATA PROGRAMMATICALLY:

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

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-13-290'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-13-290'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-13-290'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-13-290'


     

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

    398 TRIPLES      21 PREDICATES      107 URIs      32 LITERALS      20 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/1471-2164-13-290 schema:about N1ec8bccfd3364d36b79c10f2bb1fa099
    2 N43c854a2af9141b7adc97628ef9ed1f7
    3 N67f68f69fde942d78742b1beb66bdc10
    4 N6afed8ff170d4b13864179bee92410cc
    5 N78a5db693061497ca5ea1cdeab62fc0c
    6 N87f7929c4c1b4ee3b3983bbd9c66b721
    7 Na22619e669b949ee888c5ff7ed076674
    8 Nb64515f2401c41e09ae04d79cf92691b
    9 Nd3f21856b1c64547b0af3975fe0fc00d
    10 Ndfdc910efc454cb0887322f1e8bf9354
    11 Neef7088c1f304c66821ac863170f9cc7
    12 anzsrc-for:06
    13 anzsrc-for:0604
    14 schema:author N5a347e5746e9418599385a0239c55e6d
    15 schema:citation sg:pub.10.1007/s00018-005-5467-7
    16 sg:pub.10.1007/s00425-009-0889-3
    17 sg:pub.10.1007/s11515-011-1136-4
    18 sg:pub.10.1038/nature07723
    19 sg:pub.10.1038/ng0706-850b
    20 sg:pub.10.1038/ng1777
    21 sg:pub.10.1038/ng1791
    22 sg:pub.10.1038/nrg2179
    23 sg:pub.10.1186/1471-2164-11-109
    24 sg:pub.10.1186/1471-2164-12-307
    25 sg:pub.10.1186/1471-2164-12-367
    26 sg:pub.10.1186/1471-2164-9-451
    27 sg:pub.10.1186/1746-4811-3-12
    28 sg:pub.10.1186/gb-2005-6-11-p13
    29 sg:pub.10.1186/gb-2011-12-6-r53
    30 sg:pub.10.1631/jzus.b0920042
    31 https://doi.org/10.1016/j.bbrc.2011.02.045
    32 https://doi.org/10.1016/j.cell.2005.04.004
    33 https://doi.org/10.1016/j.cell.2008.02.034
    34 https://doi.org/10.1016/j.copbio.2006.01.008
    35 https://doi.org/10.1016/j.devcel.2005.01.018
    36 https://doi.org/10.1016/j.molcel.2010.03.008
    37 https://doi.org/10.1016/j.pbi.2004.11.008
    38 https://doi.org/10.1016/j.pbi.2006.05.014
    39 https://doi.org/10.1016/j.pbi.2009.07.003
    40 https://doi.org/10.1016/j.pbi.2010.04.007
    41 https://doi.org/10.1016/j.tplants.2008.03.009
    42 https://doi.org/10.1016/j.ygeno.2011.08.005
    43 https://doi.org/10.1016/s0022-2836(05)80360-2
    44 https://doi.org/10.1016/s0092-8674(02)00863-2
    45 https://doi.org/10.1016/s1369-5266(02)00234-0
    46 https://doi.org/10.1073/pnas.0405570102
    47 https://doi.org/10.1073/pnas.0505461102
    48 https://doi.org/10.1093/aob/mcn205
    49 https://doi.org/10.1093/bioinformatics/btn428
    50 https://doi.org/10.1093/jxb/err155
    51 https://doi.org/10.1093/nar/gkn670
    52 https://doi.org/10.1093/nar/gkq1027
    53 https://doi.org/10.1093/nar/gkq310
    54 https://doi.org/10.1093/nar/gni178
    55 https://doi.org/10.1093/pcp/pcr106
    56 https://doi.org/10.1098/rspb.2001.1782
    57 https://doi.org/10.1101/gr.123547.111
    58 https://doi.org/10.1101/gr.5530106
    59 https://doi.org/10.1104/pp.103.033878
    60 https://doi.org/10.1104/pp.120.4.969
    61 https://doi.org/10.1104/pp.125.3.1198
    62 https://doi.org/10.1105/tpc.105.030841
    63 https://doi.org/10.1105/tpc.107.053199
    64 https://doi.org/10.1105/tpc.108.064311
    65 https://doi.org/10.1105/tpc.109.068130
    66 https://doi.org/10.1105/tpc.110.082784
    67 https://doi.org/10.1111/j.1365-3040.2011.02430.x
    68 https://doi.org/10.1111/j.1365-313x.2006.02980.x
    69 https://doi.org/10.1111/j.1365-313x.2008.03497.x
    70 https://doi.org/10.1111/j.1469-8137.2009.02915.x
    71 https://doi.org/10.1126/science.1088060
    72 https://doi.org/10.1126/science.1107130
    73 https://doi.org/10.1126/science.1126088
    74 https://doi.org/10.1126/science.279.5349.407
    75 https://doi.org/10.1146/annurev.arplant.58.032806.103835
    76 https://doi.org/10.1155/2008/458732
    77 https://doi.org/10.1242/jcs.00838
    78 https://doi.org/10.1371/journal.pbio.0060302
    79 https://doi.org/10.1371/journal.pone.0021330
    80 https://doi.org/10.3732/ajb.0900346
    81 https://doi.org/10.3732/ajb.91.10.1614
    82 schema:datePublished 2012-12
    83 schema:datePublishedReg 2012-12-01
    84 schema:description BACKGROUND: MicroRNA-regulation of gene expression plays a key role in the development and response to biotic and abiotic stresses. Deep sequencing analyses accelerate the process of small RNA discovery in many plants and expand our understanding of miRNA-regulated processes. We therefore undertook small RNA sequencing of sugarcane miRNAs in order to understand their complexity and to explore their role in sugarcane biology. RESULTS: A bioinformatics search was carried out to discover novel miRNAs that can be regulated in sugarcane plants submitted to drought and salt stresses, and under pathogen infection. By means of the presence of miRNA precursors in the related sorghum genome, we identified 623 candidates of new mature miRNAs in sugarcane. Of these, 44 were classified as high confidence miRNAs. The biological function of the new miRNAs candidates was assessed by analyzing their putative targets. The set of bona fide sugarcane miRNA includes those likely targeting serine/threonine kinases, Myb and zinc finger proteins. Additionally, a MADS-box transcription factor and an RPP2B protein, which act in development and disease resistant processes, could be regulated by cleavage (21-nt-species) and DNA methylation (24-nt-species), respectively. CONCLUSIONS: A large scale investigation of sRNA in sugarcane using a computational approach has identified a substantial number of new miRNAs and provides detailed genotype-tissue-culture miRNA expression profiles. Comparative analysis between monocots was valuable to clarify aspects about conservation of miRNA and their targets in a plant whose genome has not yet been sequenced. Our findings contribute to knowledge of miRNA roles in regulatory pathways in the complex, polyploidy sugarcane genome.
    85 schema:genre research_article
    86 schema:inLanguage en
    87 schema:isAccessibleForFree true
    88 schema:isPartOf N171b14501a034b5192cba869f0f2d212
    89 N6c8933979e20463588f7d3e3b161d0bb
    90 sg:journal.1023790
    91 schema:name Computational identification and analysis of novel sugarcane microRNAs
    92 schema:pagination 290
    93 schema:productId N3d23cbdf4ca946bcb35c69821dfd109a
    94 N69eb104f8a5e443c82d4359b60072ab4
    95 N88564dab9f0a4bc39f43a910e26e8381
    96 N8e14ae7bc5344f959a4b4aead25aa029
    97 Nd69b2ef2eb2248cb99ca1af6d21bfe81
    98 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045590423
    99 https://doi.org/10.1186/1471-2164-13-290
    100 schema:sdDatePublished 2019-04-10T16:49
    101 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    102 schema:sdPublisher N1aa9b5ebc45f48c891dd1dcab693acbb
    103 schema:url http://link.springer.com/10.1186%2F1471-2164-13-290
    104 sgo:license sg:explorer/license/
    105 sgo:sdDataset articles
    106 rdf:type schema:ScholarlyArticle
    107 N171b14501a034b5192cba869f0f2d212 schema:volumeNumber 13
    108 rdf:type schema:PublicationVolume
    109 N1aa9b5ebc45f48c891dd1dcab693acbb schema:name Springer Nature - SN SciGraph project
    110 rdf:type schema:Organization
    111 N1ec8bccfd3364d36b79c10f2bb1fa099 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    112 schema:name Droughts
    113 rdf:type schema:DefinedTerm
    114 N28b31bf3e45548e5852556a4a3941006 rdf:first sg:person.01224400265.29
    115 rdf:rest Nf606921813a94cb99cb3cfdb2df0ccc2
    116 N30bc501eaec44828b32a386f34ff71e8 rdf:first sg:person.014211600012.86
    117 rdf:rest rdf:nil
    118 N3d23cbdf4ca946bcb35c69821dfd109a schema:name nlm_unique_id
    119 schema:value 100965258
    120 rdf:type schema:PropertyValue
    121 N4059ec206888472d9a4a4e5b2c794217 rdf:first sg:person.01156265065.95
    122 rdf:rest N28b31bf3e45548e5852556a4a3941006
    123 N43c854a2af9141b7adc97628ef9ed1f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    124 schema:name Nucleic Acid Conformation
    125 rdf:type schema:DefinedTerm
    126 N4b893ac2e9ba43588d7fe730a3c99d72 rdf:first sg:person.01361561544.23
    127 rdf:rest N8bb251e7918b445aae8d94e6a5b3c5e4
    128 N5a347e5746e9418599385a0239c55e6d rdf:first sg:person.0623233777.99
    129 rdf:rest Nb08b862d03b448a0bef81b8e379b0af0
    130 N67f68f69fde942d78742b1beb66bdc10 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    131 schema:name Gene Expression Regulation, Plant
    132 rdf:type schema:DefinedTerm
    133 N69eb104f8a5e443c82d4359b60072ab4 schema:name readcube_id
    134 schema:value d92aecea87b991b0048ce5364183edaee28680ba7ca003eeb9f3f5f9a56ed522
    135 rdf:type schema:PropertyValue
    136 N6afed8ff170d4b13864179bee92410cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    137 schema:name Ribosomal Proteins
    138 rdf:type schema:DefinedTerm
    139 N6c8933979e20463588f7d3e3b161d0bb schema:issueNumber 1
    140 rdf:type schema:PublicationIssue
    141 N78a5db693061497ca5ea1cdeab62fc0c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name RNA, Plant
    143 rdf:type schema:DefinedTerm
    144 N87f7929c4c1b4ee3b3983bbd9c66b721 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    145 schema:name Computational Biology
    146 rdf:type schema:DefinedTerm
    147 N88564dab9f0a4bc39f43a910e26e8381 schema:name dimensions_id
    148 schema:value pub.1045590423
    149 rdf:type schema:PropertyValue
    150 N89c6edc3b4e14222a4b22e11e30f5d14 schema:name Fasteris SA, 1228-Plan-les-Ouates, Switzerland
    151 rdf:type schema:Organization
    152 N8bb251e7918b445aae8d94e6a5b3c5e4 rdf:first sg:person.015630426237.76
    153 rdf:rest Nf856e9f9b4f84a0b86b23df2992c1794
    154 N8e14ae7bc5344f959a4b4aead25aa029 schema:name pubmed_id
    155 schema:value 22747909
    156 rdf:type schema:PropertyValue
    157 Na22619e669b949ee888c5ff7ed076674 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    158 schema:name MicroRNAs
    159 rdf:type schema:DefinedTerm
    160 Nb08b862d03b448a0bef81b8e379b0af0 rdf:first sg:person.01122024177.53
    161 rdf:rest N4059ec206888472d9a4a4e5b2c794217
    162 Nb64515f2401c41e09ae04d79cf92691b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    163 schema:name Salts
    164 rdf:type schema:DefinedTerm
    165 Nd3f21856b1c64547b0af3975fe0fc00d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    166 schema:name MADS Domain Proteins
    167 rdf:type schema:DefinedTerm
    168 Nd69b2ef2eb2248cb99ca1af6d21bfe81 schema:name doi
    169 schema:value 10.1186/1471-2164-13-290
    170 rdf:type schema:PropertyValue
    171 Ndfdc910efc454cb0887322f1e8bf9354 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    172 schema:name Saccharum
    173 rdf:type schema:DefinedTerm
    174 Neef7088c1f304c66821ac863170f9cc7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    175 schema:name Protein-Serine-Threonine Kinases
    176 rdf:type schema:DefinedTerm
    177 Nf606921813a94cb99cb3cfdb2df0ccc2 rdf:first sg:person.01120576107.81
    178 rdf:rest N4b893ac2e9ba43588d7fe730a3c99d72
    179 Nf856e9f9b4f84a0b86b23df2992c1794 rdf:first sg:person.01217205370.56
    180 rdf:rest N30bc501eaec44828b32a386f34ff71e8
    181 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    182 schema:name Biological Sciences
    183 rdf:type schema:DefinedTerm
    184 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    185 schema:name Genetics
    186 rdf:type schema:DefinedTerm
    187 sg:grant.2517722 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2164-13-290
    188 rdf:type schema:MonetaryGrant
    189 sg:journal.1023790 schema:issn 1471-2164
    190 schema:name BMC Genomics
    191 rdf:type schema:Periodical
    192 sg:person.01120576107.81 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
    193 schema:familyName Tanurdzic
    194 schema:givenName Milos
    195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120576107.81
    196 rdf:type schema:Person
    197 sg:person.01122024177.53 schema:affiliation https://www.grid.ac/institutes/grid.8536.8
    198 schema:familyName Grativol
    199 schema:givenName Clícia
    200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01122024177.53
    201 rdf:type schema:Person
    202 sg:person.01156265065.95 schema:affiliation https://www.grid.ac/institutes/grid.8536.8
    203 schema:familyName Carnavale-Bottino
    204 schema:givenName Mariana
    205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01156265065.95
    206 rdf:type schema:Person
    207 sg:person.01217205370.56 schema:affiliation https://www.grid.ac/institutes/grid.8536.8
    208 schema:familyName Hemerly
    209 schema:givenName Adriana Silva
    210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217205370.56
    211 rdf:type schema:Person
    212 sg:person.01224400265.29 schema:affiliation https://www.grid.ac/institutes/grid.449851.5
    213 schema:familyName Rojas
    214 schema:givenName Cristian Antonio
    215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224400265.29
    216 rdf:type schema:Person
    217 sg:person.01361561544.23 schema:affiliation N89c6edc3b4e14222a4b22e11e30f5d14
    218 schema:familyName Farinelli
    219 schema:givenName Laurent
    220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361561544.23
    221 rdf:type schema:Person
    222 sg:person.014211600012.86 schema:affiliation https://www.grid.ac/institutes/grid.8536.8
    223 schema:familyName Ferreira
    224 schema:givenName Paulo Cavalcanti Gomes
    225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014211600012.86
    226 rdf:type schema:Person
    227 sg:person.015630426237.76 schema:affiliation https://www.grid.ac/institutes/grid.225279.9
    228 schema:familyName Martienssen
    229 schema:givenName Robert A
    230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015630426237.76
    231 rdf:type schema:Person
    232 sg:person.0623233777.99 schema:affiliation https://www.grid.ac/institutes/grid.8536.8
    233 schema:familyName Thiebaut
    234 schema:givenName Flávia
    235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623233777.99
    236 rdf:type schema:Person
    237 sg:pub.10.1007/s00018-005-5467-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029121648
    238 https://doi.org/10.1007/s00018-005-5467-7
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1007/s00425-009-0889-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052910096
    241 https://doi.org/10.1007/s00425-009-0889-3
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1007/s11515-011-1136-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035549346
    244 https://doi.org/10.1007/s11515-011-1136-4
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1038/nature07723 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020371055
    247 https://doi.org/10.1038/nature07723
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1038/ng0706-850b schema:sameAs https://app.dimensions.ai/details/publication/pub.1041484995
    250 https://doi.org/10.1038/ng0706-850b
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1038/ng1777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043648066
    253 https://doi.org/10.1038/ng1777
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1038/ng1791 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031824197
    256 https://doi.org/10.1038/ng1791
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1038/nrg2179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047493400
    259 https://doi.org/10.1038/nrg2179
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1186/1471-2164-11-109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009277965
    262 https://doi.org/10.1186/1471-2164-11-109
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1186/1471-2164-12-307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000607519
    265 https://doi.org/10.1186/1471-2164-12-307
    266 rdf:type schema:CreativeWork
    267 sg:pub.10.1186/1471-2164-12-367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046224542
    268 https://doi.org/10.1186/1471-2164-12-367
    269 rdf:type schema:CreativeWork
    270 sg:pub.10.1186/1471-2164-9-451 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033953436
    271 https://doi.org/10.1186/1471-2164-9-451
    272 rdf:type schema:CreativeWork
    273 sg:pub.10.1186/1746-4811-3-12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037484394
    274 https://doi.org/10.1186/1746-4811-3-12
    275 rdf:type schema:CreativeWork
    276 sg:pub.10.1186/gb-2005-6-11-p13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047630082
    277 https://doi.org/10.1186/gb-2005-6-11-p13
    278 rdf:type schema:CreativeWork
    279 sg:pub.10.1186/gb-2011-12-6-r53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013380511
    280 https://doi.org/10.1186/gb-2011-12-6-r53
    281 rdf:type schema:CreativeWork
    282 sg:pub.10.1631/jzus.b0920042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021514306
    283 https://doi.org/10.1631/jzus.b0920042
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.1016/j.bbrc.2011.02.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004126587
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.1016/j.cell.2005.04.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036462266
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1016/j.cell.2008.02.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017460687
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.1016/j.copbio.2006.01.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023227157
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.1016/j.devcel.2005.01.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045514568
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.1016/j.molcel.2010.03.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030203269
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.1016/j.pbi.2004.11.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035292807
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.1016/j.pbi.2006.05.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053234623
    300 rdf:type schema:CreativeWork
    301 https://doi.org/10.1016/j.pbi.2009.07.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034473089
    302 rdf:type schema:CreativeWork
    303 https://doi.org/10.1016/j.pbi.2010.04.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000043949
    304 rdf:type schema:CreativeWork
    305 https://doi.org/10.1016/j.tplants.2008.03.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011827985
    306 rdf:type schema:CreativeWork
    307 https://doi.org/10.1016/j.ygeno.2011.08.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030991865
    308 rdf:type schema:CreativeWork
    309 https://doi.org/10.1016/s0022-2836(05)80360-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013618994
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1016/s0092-8674(02)00863-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013070988
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.1016/s1369-5266(02)00234-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041629972
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.1073/pnas.0405570102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025512076
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.1073/pnas.0505461102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015208958
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1093/aob/mcn205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035624368
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1093/bioinformatics/btn428 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019983784
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1093/jxb/err155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009752182
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1093/nar/gkn670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034304482
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.1093/nar/gkq1027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053382169
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1093/nar/gkq310 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035803022
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1093/nar/gni178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013863738
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1093/pcp/pcr106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027186915
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1098/rspb.2001.1782 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019134285
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1101/gr.123547.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044135542
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1101/gr.5530106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023663067
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1104/pp.103.033878 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018191837
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1104/pp.120.4.969 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027615233
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1104/pp.125.3.1198 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024328567
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1105/tpc.105.030841 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042000241
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1105/tpc.107.053199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043994389
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1105/tpc.108.064311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016746630
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1105/tpc.109.068130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034448877
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1105/tpc.110.082784 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042445220
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1111/j.1365-3040.2011.02430.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019046952
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.1111/j.1365-313x.2006.02980.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029233823
    360 rdf:type schema:CreativeWork
    361 https://doi.org/10.1111/j.1365-313x.2008.03497.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044767149
    362 rdf:type schema:CreativeWork
    363 https://doi.org/10.1111/j.1469-8137.2009.02915.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025411109
    364 rdf:type schema:CreativeWork
    365 https://doi.org/10.1126/science.1088060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009270086
    366 rdf:type schema:CreativeWork
    367 https://doi.org/10.1126/science.1107130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035999990
    368 rdf:type schema:CreativeWork
    369 https://doi.org/10.1126/science.1126088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039325280
    370 rdf:type schema:CreativeWork
    371 https://doi.org/10.1126/science.279.5349.407 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047668416
    372 rdf:type schema:CreativeWork
    373 https://doi.org/10.1146/annurev.arplant.58.032806.103835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019949209
    374 rdf:type schema:CreativeWork
    375 https://doi.org/10.1155/2008/458732 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022933663
    376 rdf:type schema:CreativeWork
    377 https://doi.org/10.1242/jcs.00838 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040698698
    378 rdf:type schema:CreativeWork
    379 https://doi.org/10.1371/journal.pbio.0060302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012722667
    380 rdf:type schema:CreativeWork
    381 https://doi.org/10.1371/journal.pone.0021330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020658481
    382 rdf:type schema:CreativeWork
    383 https://doi.org/10.3732/ajb.0900346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017797177
    384 rdf:type schema:CreativeWork
    385 https://doi.org/10.3732/ajb.91.10.1614 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020892155
    386 rdf:type schema:CreativeWork
    387 https://www.grid.ac/institutes/grid.1003.2 schema:alternateName University of Queensland
    388 schema:name School of Biological Sciences, The University of Queensland, 4072, St Lucia, QLD, Australia
    389 rdf:type schema:Organization
    390 https://www.grid.ac/institutes/grid.225279.9 schema:alternateName Cold Spring Harbor Laboratory
    391 schema:name Cold Spring Harbor Laboratory, 1 Bungtown RD, 11724, Cold Spring Harbor, NY, USA
    392 rdf:type schema:Organization
    393 https://www.grid.ac/institutes/grid.449851.5 schema:alternateName Universidade Federal da Integração Latino-Americana
    394 schema:name Universidade Federal da Integração Latino-Americana, Av. Tancredo Neves, 6731, Bl.4, 85867-970, Foz do Iguaçu, PR, Brazil
    395 rdf:type schema:Organization
    396 https://www.grid.ac/institutes/grid.8536.8 schema:alternateName Federal University of Rio de Janeiro
    397 schema:name Laboratorio de Biologia Molecular de Plantas, Instituto de Bioquímica Médica, Universidade Federal do Rio de Janeiro, Rua Rodolpho Paulo Rocco s/n°, CCS, Bl.B-33A, Cidade Universitária 21941-590, Rio de Janeiro, RJ, Brazil
    398 rdf:type schema:Organization
     




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


    ...