Homoeolog expression bias in allopolyploid oleaginous marine diatom Fistulifera solaris View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Tatsuhiro Nomaguchi, Yoshiaki Maeda, Tomoko Yoshino, Toru Asahi, Leila Tirichine, Chris Bowler, Tsuyoshi Tanaka

ABSTRACT

BACKGROUND: Allopolyploidy is a genomic structure wherein two or more sets of chromosomes derived from divergent parental species coexist within an organism. It is a prevalent genomic configuration in plants, as an important source of genetic variation, and also frequently confers environmental adaptability and increased crop productivity. We previously reported the oleaginous marine diatom Fistulifera solaris JPCC DA0580 to be a promising host for biofuel production and that its genome is allopolyploid, which had never previously been reported in eukaryotic microalgae. However, the study of allopolyploidy in F. solaris was hindered by the difficulty in classifying the homoeologous genes based on their progenitor origins, owing to the shortage of diatom genomic references. RESULTS: In this study, the allopolyploid genome of F. solaris was tentatively classified into two pseudo-parental subgenomes using sequence analysis based on GC content and codon frequency in each homoeologous gene pair. This approach clearly separated the genome into two distinct fractions, subgenome Fso_h and Fso_l, which also showed the potency of codon usage analysis to differentiate the allopolyploid subgenome. Subsequent homoeolog expression bias analysis revealed that, although both subgenomes appear to contribute to global transcription, there were subgenomic preferences in approximately 61% of homoeologous gene pairs, and the majority of these genes showed continuous bias towards a specific subgenome during lipid accumulation. Additional promoter analysis indicated the possibility of promoter motifs involved in biased transcription of homoeologous genes. Among these subgenomic preferences, genes involved in lipid metabolic pathways showed interesting patterns in that biosynthetic and degradative pathways showed opposite subgenomic preferences, suggesting the possibility that the oleaginous characteristics of F. solaris derived from one of its progenitors. CONCLUSIONS: We report the detailed genomic structure and expression patterns in the allopolyploid eukaryotic microalga F. solaris. The allele-specific patterns reported may contribute to the oleaginous characteristics of F. solaris and also suggest the robust oleaginous characteristics of one of its progenitors. Our data reveal novel aspects of allopolyploidy in a diatom that is not only important for evolutionary studies but may also be advantageous for biofuel production in microalgae. More... »

PAGES

330

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12864-018-4691-0

DOI

http://dx.doi.org/10.1186/s12864-018-4691-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103814149

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29728068


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": "Base Composition", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biofuels", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Codon", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diatoms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lipid Metabolism", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Metabolic Networks and Pathways", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microalgae", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polyploidy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transcriptome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Waseda University", 
          "id": "https://www.grid.ac/institutes/grid.5290.e", 
          "name": [
            "Department of Advanced Science and Engineering, Graduate School of Advanced Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, 169-8555, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nomaguchi", 
        "givenName": "Tatsuhiro", 
        "id": "sg:person.07523605657.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07523605657.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo University of Agriculture and Technology", 
          "id": "https://www.grid.ac/institutes/grid.136594.c", 
          "name": [
            "Division of Biotechnology and Life Science, Institute of Engineering, Tokyo University of Agriculture and Technology, 2-24-16, Naka-cho, Koganei, 184-8588, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maeda", 
        "givenName": "Yoshiaki", 
        "id": "sg:person.01201762721.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201762721.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo University of Agriculture and Technology", 
          "id": "https://www.grid.ac/institutes/grid.136594.c", 
          "name": [
            "Division of Biotechnology and Life Science, Institute of Engineering, Tokyo University of Agriculture and Technology, 2-24-16, Naka-cho, Koganei, 184-8588, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoshino", 
        "givenName": "Tomoko", 
        "id": "sg:person.0762613204.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762613204.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Waseda University", 
          "id": "https://www.grid.ac/institutes/grid.5290.e", 
          "name": [
            "Department of Advanced Science and Engineering, Graduate School of Advanced Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, 169-8555, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Asahi", 
        "givenName": "Toru", 
        "id": "sg:person.0643252173.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643252173.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut de Biologie de l'\u00c9cole Normale Sup\u00e9rieure", 
          "id": "https://www.grid.ac/institutes/grid.462036.5", 
          "name": [
            "Ecole Normale Sup\u00e9rieure, PSL Research University, Institut de Biologie de l\u2019Ecole Normale Sup\u00e9rieure (IBENS), CNRS UMR 8197, INSERM U1024, 46 rue d\u2019Ulm, F-75005, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tirichine", 
        "givenName": "Leila", 
        "id": "sg:person.0674246303.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674246303.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut de Biologie de l'\u00c9cole Normale Sup\u00e9rieure", 
          "id": "https://www.grid.ac/institutes/grid.462036.5", 
          "name": [
            "Ecole Normale Sup\u00e9rieure, PSL Research University, Institut de Biologie de l\u2019Ecole Normale Sup\u00e9rieure (IBENS), CNRS UMR 8197, INSERM U1024, 46 rue d\u2019Ulm, F-75005, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bowler", 
        "givenName": "Chris", 
        "id": "sg:person.0712003056.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712003056.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo University of Agriculture and Technology", 
          "id": "https://www.grid.ac/institutes/grid.136594.c", 
          "name": [
            "Division of Biotechnology and Life Science, Institute of Engineering, Tokyo University of Agriculture and Technology, 2-24-16, Naka-cho, Koganei, 184-8588, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tanaka", 
        "givenName": "Tsuyoshi", 
        "id": "sg:person.01262422021.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262422021.42"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1756-0500-5-506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000010502", 
          "https://doi.org/10.1186/1756-0500-5-506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbaexp.2007.04.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000028707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2016.04.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001816334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1105/tpc.114.135194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002513852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/mss110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004334302"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msw141", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004463838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms6764", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004735258", 
          "https://doi.org/10.1038/ncomms6764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msv001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005525111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10577-014-9416-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005826074", 
          "https://doi.org/10.1007/s10577-014-9416-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btm404", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007683223"
        ], 
        "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/10.1126/science.1101156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009311509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1360-1385(99)01501-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009798859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012425816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.protis.2007.06.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013169507"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1741-7007-6-16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015122682", 
          "https://doi.org/10.1186/1741-7007-6-16"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-9525(03)00015-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016136412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-9525(03)00015-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016136412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.plantsci.2016.04.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016338523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/a10-020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016448359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-6-25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017704493", 
          "https://doi.org/10.1186/1471-2164-6-25"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3732/ajb.1400119", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018289118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1253435", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018317882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.4708406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018948197"
        ], 
        "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": "sg:pub.10.1038/nature07410", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020100652", 
          "https://doi.org/10.1038/nature07410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1143986", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020777109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature19840", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021511241", 
          "https://doi.org/10.1038/nature19840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.105.047894", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021998095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.105.047894", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021998095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1711", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022197221", 
          "https://doi.org/10.1038/nrg1711"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1711", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022197221", 
          "https://doi.org/10.1038/nrg1711"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.protis.2008.11.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022305159"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkn176", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022937830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkh152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023168908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1402475111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024597013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1104/pp.15.01300", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025140255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00391215", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026373715", 
          "https://doi.org/10.1007/bf00391215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00391215", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026373715", 
          "https://doi.org/10.1007/bf00391215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msu085", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026507982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gbe/evu014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028080320"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.2012.79", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029192393", 
          "https://doi.org/10.1038/hdy.2012.79"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkt1069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029923692"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1469-185x.2012.00242.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030583954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0036442", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031522953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiosc.2013.11.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031870615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiosc.2013.11.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031870615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiosc.2013.11.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031870615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiosc.2013.11.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031870615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiosc.2013.11.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031870615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.92.25.11331", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031947507"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/pre.12066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032687878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pbio.1000409", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033286626"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature20803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033587840", 
          "https://doi.org/10.1038/nature20803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkv1176", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034036004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cbpc.2006.05.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034801711"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1994.19", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035114105", 
          "https://doi.org/10.1038/hdy.1994.19"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1994.19", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035114105", 
          "https://doi.org/10.1038/hdy.1994.19"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2010-11-2-r17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035519319", 
          "https://doi.org/10.1186/gb-2010-11-2-r17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.919", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035519342", 
          "https://doi.org/10.1038/ng.919"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btu031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036320682"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jxb/ers192", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037022368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.3207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037216172", 
          "https://doi.org/10.1038/nbt.3207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-313x.2011.04540.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037424308"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/ec.00326-10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038138504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.2012.94", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038336472", 
          "https://doi.org/10.1038/hdy.2012.94"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkw413", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040099621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkt1376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040549706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12010-009-8766-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041760706", 
          "https://doi.org/10.1007/s12010-009-8766-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12010-009-8766-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041760706", 
          "https://doi.org/10.1007/s12010-009-8766-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pbi.2016.02.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041974821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gad.11.16.2124", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043499411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-11-505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046341772", 
          "https://doi.org/10.1186/1471-2164-11-505"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compbiomed.2008.05.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046422344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms1954", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050366846", 
          "https://doi.org/10.1038/ncomms1954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/g3.111.000745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050978567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/g3.111.000745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050978567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/pbi.12651", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051349655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/jpy.12350", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051513741"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-genet-120213-092159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052628442"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3657", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053001947", 
          "https://doi.org/10.1038/ng.3657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msu207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053103241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/nph.12131", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053281869"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jhered/esr120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053546798"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msv191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059923124"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.11646/phytotaxa.217.2.4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063369182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3835/plantgenome2014.08.0041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071447901"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep44677", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084132557", 
          "https://doi.org/10.1038/srep44677"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/md15040094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084436343"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "BACKGROUND: Allopolyploidy is a genomic structure wherein two or more sets of chromosomes derived from divergent parental species coexist within an organism. It is a prevalent genomic configuration in plants, as an important source of genetic variation, and also frequently confers environmental adaptability and increased crop productivity. We previously reported the oleaginous marine diatom Fistulifera solaris JPCC DA0580 to be a promising host for biofuel production and that its genome is allopolyploid, which had never previously been reported in eukaryotic microalgae. However, the study of allopolyploidy in F. solaris was hindered by the difficulty in classifying the homoeologous genes based on their progenitor origins, owing to the shortage of diatom genomic references.\nRESULTS: In this study, the allopolyploid genome of F. solaris was tentatively classified into two pseudo-parental subgenomes using sequence analysis based on GC content and codon frequency in each homoeologous gene pair. This approach clearly separated the genome into two distinct fractions, subgenome Fso_h and Fso_l, which also showed the potency of codon usage analysis to differentiate the allopolyploid subgenome. Subsequent homoeolog expression bias analysis revealed that, although both subgenomes appear to contribute to global transcription, there were subgenomic preferences in approximately 61% of homoeologous gene pairs, and the majority of these genes showed continuous bias towards a specific subgenome during lipid accumulation. Additional promoter analysis indicated the possibility of promoter motifs involved in biased transcription of homoeologous genes. Among these subgenomic preferences, genes involved in lipid metabolic pathways showed interesting patterns in that biosynthetic and degradative pathways showed opposite subgenomic preferences, suggesting the possibility that the oleaginous characteristics of F. solaris derived from one of its progenitors.\nCONCLUSIONS: We report the detailed genomic structure and expression patterns in the allopolyploid eukaryotic microalga F. solaris. The allele-specific patterns reported may contribute to the oleaginous characteristics of F. solaris and also suggest the robust oleaginous characteristics of one of its progenitors. Our data reveal novel aspects of allopolyploidy in a diatom that is not only important for evolutionary studies but may also be advantageous for biofuel production in microalgae.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12864-018-4691-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4520785", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3800414", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4521846", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1023790", 
        "issn": [
          "1471-2164"
        ], 
        "name": "BMC Genomics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "19"
      }
    ], 
    "name": "Homoeolog expression bias in allopolyploid oleaginous marine diatom Fistulifera solaris", 
    "pagination": "330", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a4fc7743e7f198abebff038d0da4eb151244bdb6ede5a8b6245040b2164f74ef"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29728068"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100965258"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12864-018-4691-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1103814149"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12864-018-4691-0", 
      "https://app.dimensions.ai/details/publication/pub.1103814149"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:18", 
    "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/v90/0000000348_0000000348/records_54313_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12864-018-4691-0"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12864-018-4691-0'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12864-018-4691-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12864-018-4691-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12864-018-4691-0'


 

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

421 TRIPLES      21 PREDICATES      118 URIs      32 LITERALS      20 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12864-018-4691-0 schema:about N0599f3a032154b86805e927592f4a851
2 N119d4ca574ba40bb9b7f876a35b68f96
3 N1520106504184b47b78a590e7be6dbb9
4 N43aaa225617d4bc48a5f223d7b2c69dd
5 N5967bed5552e488c8832bf8746971f40
6 N81d19c1f19dd4ed2a908276e813a9b4e
7 N8d238816431547cf845c7f58213b9300
8 Naa34951cb52e45cdb3ab737bb798cfe7
9 Nbf91827db12f4914a2741fdd9dc7af45
10 Nd4adda999a2b4db0852eb0b648a0476d
11 Nf5cddffc61d54360b5b638f653205d0f
12 anzsrc-for:06
13 anzsrc-for:0604
14 schema:author N4bd1b578ef414cd78c1f02cc12ca54ab
15 schema:citation sg:pub.10.1007/bf00391215
16 sg:pub.10.1007/s10577-014-9416-x
17 sg:pub.10.1007/s12010-009-8766-x
18 sg:pub.10.1038/hdy.1994.19
19 sg:pub.10.1038/hdy.2012.79
20 sg:pub.10.1038/hdy.2012.94
21 sg:pub.10.1038/nature07410
22 sg:pub.10.1038/nature19840
23 sg:pub.10.1038/nature20803
24 sg:pub.10.1038/nbt.3207
25 sg:pub.10.1038/ncomms1954
26 sg:pub.10.1038/ncomms6764
27 sg:pub.10.1038/ng.3657
28 sg:pub.10.1038/ng.919
29 sg:pub.10.1038/nrg1711
30 sg:pub.10.1038/srep44677
31 sg:pub.10.1186/1471-2164-11-505
32 sg:pub.10.1186/1471-2164-6-25
33 sg:pub.10.1186/1741-7007-6-16
34 sg:pub.10.1186/1756-0500-5-506
35 sg:pub.10.1186/gb-2010-11-2-r17
36 https://doi.org/10.1016/j.bbaexp.2007.04.007
37 https://doi.org/10.1016/j.cbpc.2006.05.007
38 https://doi.org/10.1016/j.cell.2016.04.038
39 https://doi.org/10.1016/j.compbiomed.2008.05.007
40 https://doi.org/10.1016/j.jbiosc.2013.11.017
41 https://doi.org/10.1016/j.pbi.2016.02.006
42 https://doi.org/10.1016/j.plantsci.2016.04.014
43 https://doi.org/10.1016/j.protis.2007.06.002
44 https://doi.org/10.1016/j.protis.2008.11.002
45 https://doi.org/10.1016/s0168-9525(03)00015-5
46 https://doi.org/10.1016/s1360-1385(99)01501-0
47 https://doi.org/10.1073/pnas.1402475111
48 https://doi.org/10.1073/pnas.92.25.11331
49 https://doi.org/10.1093/bioinformatics/btm404
50 https://doi.org/10.1093/bioinformatics/btp120
51 https://doi.org/10.1093/bioinformatics/btu031
52 https://doi.org/10.1093/gbe/evu014
53 https://doi.org/10.1093/jhered/esr120
54 https://doi.org/10.1093/jxb/ers192
55 https://doi.org/10.1093/molbev/mss110
56 https://doi.org/10.1093/molbev/msu085
57 https://doi.org/10.1093/molbev/msu207
58 https://doi.org/10.1093/molbev/msv001
59 https://doi.org/10.1093/molbev/msv191
60 https://doi.org/10.1093/molbev/msw141
61 https://doi.org/10.1093/nar/gkh152
62 https://doi.org/10.1093/nar/gkn176
63 https://doi.org/10.1093/nar/gkp335
64 https://doi.org/10.1093/nar/gkt1069
65 https://doi.org/10.1093/nar/gkt1376
66 https://doi.org/10.1093/nar/gkv1176
67 https://doi.org/10.1093/nar/gkw413
68 https://doi.org/10.1101/gad.11.16.2124
69 https://doi.org/10.1101/gr.4708406
70 https://doi.org/10.1104/pp.15.01300
71 https://doi.org/10.1105/tpc.114.135194
72 https://doi.org/10.1111/j.1365-313x.2011.04540.x
73 https://doi.org/10.1111/j.1469-185x.2012.00242.x
74 https://doi.org/10.1111/jpy.12350
75 https://doi.org/10.1111/nph.12131
76 https://doi.org/10.1111/pbi.12651
77 https://doi.org/10.1111/pre.12066
78 https://doi.org/10.1126/science.1101156
79 https://doi.org/10.1126/science.1143986
80 https://doi.org/10.1126/science.1253435
81 https://doi.org/10.1128/ec.00326-10
82 https://doi.org/10.1139/a10-020
83 https://doi.org/10.1146/annurev-genet-120213-092159
84 https://doi.org/10.1146/annurev.arplant.58.032806.103835
85 https://doi.org/10.11646/phytotaxa.217.2.4
86 https://doi.org/10.1371/journal.pbio.1000409
87 https://doi.org/10.1371/journal.pone.0036442
88 https://doi.org/10.1534/g3.111.000745
89 https://doi.org/10.1534/genetics.105.047894
90 https://doi.org/10.3390/md15040094
91 https://doi.org/10.3732/ajb.1400119
92 https://doi.org/10.3835/plantgenome2014.08.0041
93 schema:datePublished 2018-12
94 schema:datePublishedReg 2018-12-01
95 schema:description BACKGROUND: Allopolyploidy is a genomic structure wherein two or more sets of chromosomes derived from divergent parental species coexist within an organism. It is a prevalent genomic configuration in plants, as an important source of genetic variation, and also frequently confers environmental adaptability and increased crop productivity. We previously reported the oleaginous marine diatom Fistulifera solaris JPCC DA0580 to be a promising host for biofuel production and that its genome is allopolyploid, which had never previously been reported in eukaryotic microalgae. However, the study of allopolyploidy in F. solaris was hindered by the difficulty in classifying the homoeologous genes based on their progenitor origins, owing to the shortage of diatom genomic references. RESULTS: In this study, the allopolyploid genome of F. solaris was tentatively classified into two pseudo-parental subgenomes using sequence analysis based on GC content and codon frequency in each homoeologous gene pair. This approach clearly separated the genome into two distinct fractions, subgenome Fso_h and Fso_l, which also showed the potency of codon usage analysis to differentiate the allopolyploid subgenome. Subsequent homoeolog expression bias analysis revealed that, although both subgenomes appear to contribute to global transcription, there were subgenomic preferences in approximately 61% of homoeologous gene pairs, and the majority of these genes showed continuous bias towards a specific subgenome during lipid accumulation. Additional promoter analysis indicated the possibility of promoter motifs involved in biased transcription of homoeologous genes. Among these subgenomic preferences, genes involved in lipid metabolic pathways showed interesting patterns in that biosynthetic and degradative pathways showed opposite subgenomic preferences, suggesting the possibility that the oleaginous characteristics of F. solaris derived from one of its progenitors. CONCLUSIONS: We report the detailed genomic structure and expression patterns in the allopolyploid eukaryotic microalga F. solaris. The allele-specific patterns reported may contribute to the oleaginous characteristics of F. solaris and also suggest the robust oleaginous characteristics of one of its progenitors. Our data reveal novel aspects of allopolyploidy in a diatom that is not only important for evolutionary studies but may also be advantageous for biofuel production in microalgae.
96 schema:genre research_article
97 schema:inLanguage en
98 schema:isAccessibleForFree true
99 schema:isPartOf Nae31a1e89010476fb25903918d239f2b
100 Nf0c52734928e483f80a34f1b49976185
101 sg:journal.1023790
102 schema:name Homoeolog expression bias in allopolyploid oleaginous marine diatom Fistulifera solaris
103 schema:pagination 330
104 schema:productId N45429e310ff0493a899de53a682ceec6
105 N852147fc5fe041d49856e4d6e953aa95
106 N8ae5dedaf26c486880382181acd17148
107 Nd62c1599b9fb49e496f2c1063a94562c
108 Ndc2ff76d1bfa459998a7ddde4dd18112
109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103814149
110 https://doi.org/10.1186/s12864-018-4691-0
111 schema:sdDatePublished 2019-04-11T10:18
112 schema:sdLicense https://scigraph.springernature.com/explorer/license/
113 schema:sdPublisher Nf314d3384b58468ba70b872ca3f13ef9
114 schema:url https://link.springer.com/10.1186%2Fs12864-018-4691-0
115 sgo:license sg:explorer/license/
116 sgo:sdDataset articles
117 rdf:type schema:ScholarlyArticle
118 N0599f3a032154b86805e927592f4a851 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Base Composition
120 rdf:type schema:DefinedTerm
121 N119d4ca574ba40bb9b7f876a35b68f96 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Diatoms
123 rdf:type schema:DefinedTerm
124 N1520106504184b47b78a590e7be6dbb9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Transcriptome
126 rdf:type schema:DefinedTerm
127 N1a4a4636cf4a4666acbd6f36aeb054bc rdf:first sg:person.01201762721.89
128 rdf:rest Ne0a7f4b518f644729cce3214037ea3bd
129 N30d236444e5648daa291553aef8bdf87 rdf:first sg:person.0674246303.01
130 rdf:rest N8adef485d9a6485893843b371060e1f3
131 N43aaa225617d4bc48a5f223d7b2c69dd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Lipid Metabolism
133 rdf:type schema:DefinedTerm
134 N45429e310ff0493a899de53a682ceec6 schema:name dimensions_id
135 schema:value pub.1103814149
136 rdf:type schema:PropertyValue
137 N4bd1b578ef414cd78c1f02cc12ca54ab rdf:first sg:person.07523605657.52
138 rdf:rest N1a4a4636cf4a4666acbd6f36aeb054bc
139 N5967bed5552e488c8832bf8746971f40 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Biofuels
141 rdf:type schema:DefinedTerm
142 N5f4870121e1549deb8d5ff1dc3ada1f0 rdf:first sg:person.01262422021.42
143 rdf:rest rdf:nil
144 N81d19c1f19dd4ed2a908276e813a9b4e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Metabolic Networks and Pathways
146 rdf:type schema:DefinedTerm
147 N852147fc5fe041d49856e4d6e953aa95 schema:name doi
148 schema:value 10.1186/s12864-018-4691-0
149 rdf:type schema:PropertyValue
150 N8adef485d9a6485893843b371060e1f3 rdf:first sg:person.0712003056.12
151 rdf:rest N5f4870121e1549deb8d5ff1dc3ada1f0
152 N8ae5dedaf26c486880382181acd17148 schema:name pubmed_id
153 schema:value 29728068
154 rdf:type schema:PropertyValue
155 N8cd8b84b972340a6a7fb06b14b1169cc rdf:first sg:person.0643252173.45
156 rdf:rest N30d236444e5648daa291553aef8bdf87
157 N8d238816431547cf845c7f58213b9300 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Polyploidy
159 rdf:type schema:DefinedTerm
160 Naa34951cb52e45cdb3ab737bb798cfe7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Microalgae
162 rdf:type schema:DefinedTerm
163 Nae31a1e89010476fb25903918d239f2b schema:volumeNumber 19
164 rdf:type schema:PublicationVolume
165 Nbf91827db12f4914a2741fdd9dc7af45 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Gene Expression
167 rdf:type schema:DefinedTerm
168 Nd4adda999a2b4db0852eb0b648a0476d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name Genome
170 rdf:type schema:DefinedTerm
171 Nd62c1599b9fb49e496f2c1063a94562c schema:name nlm_unique_id
172 schema:value 100965258
173 rdf:type schema:PropertyValue
174 Ndc2ff76d1bfa459998a7ddde4dd18112 schema:name readcube_id
175 schema:value a4fc7743e7f198abebff038d0da4eb151244bdb6ede5a8b6245040b2164f74ef
176 rdf:type schema:PropertyValue
177 Ne0a7f4b518f644729cce3214037ea3bd rdf:first sg:person.0762613204.20
178 rdf:rest N8cd8b84b972340a6a7fb06b14b1169cc
179 Nf0c52734928e483f80a34f1b49976185 schema:issueNumber 1
180 rdf:type schema:PublicationIssue
181 Nf314d3384b58468ba70b872ca3f13ef9 schema:name Springer Nature - SN SciGraph project
182 rdf:type schema:Organization
183 Nf5cddffc61d54360b5b638f653205d0f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
184 schema:name Codon
185 rdf:type schema:DefinedTerm
186 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
187 schema:name Biological Sciences
188 rdf:type schema:DefinedTerm
189 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
190 schema:name Genetics
191 rdf:type schema:DefinedTerm
192 sg:grant.3800414 http://pending.schema.org/fundedItem sg:pub.10.1186/s12864-018-4691-0
193 rdf:type schema:MonetaryGrant
194 sg:grant.4520785 http://pending.schema.org/fundedItem sg:pub.10.1186/s12864-018-4691-0
195 rdf:type schema:MonetaryGrant
196 sg:grant.4521846 http://pending.schema.org/fundedItem sg:pub.10.1186/s12864-018-4691-0
197 rdf:type schema:MonetaryGrant
198 sg:journal.1023790 schema:issn 1471-2164
199 schema:name BMC Genomics
200 rdf:type schema:Periodical
201 sg:person.01201762721.89 schema:affiliation https://www.grid.ac/institutes/grid.136594.c
202 schema:familyName Maeda
203 schema:givenName Yoshiaki
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201762721.89
205 rdf:type schema:Person
206 sg:person.01262422021.42 schema:affiliation https://www.grid.ac/institutes/grid.136594.c
207 schema:familyName Tanaka
208 schema:givenName Tsuyoshi
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262422021.42
210 rdf:type schema:Person
211 sg:person.0643252173.45 schema:affiliation https://www.grid.ac/institutes/grid.5290.e
212 schema:familyName Asahi
213 schema:givenName Toru
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643252173.45
215 rdf:type schema:Person
216 sg:person.0674246303.01 schema:affiliation https://www.grid.ac/institutes/grid.462036.5
217 schema:familyName Tirichine
218 schema:givenName Leila
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674246303.01
220 rdf:type schema:Person
221 sg:person.0712003056.12 schema:affiliation https://www.grid.ac/institutes/grid.462036.5
222 schema:familyName Bowler
223 schema:givenName Chris
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712003056.12
225 rdf:type schema:Person
226 sg:person.07523605657.52 schema:affiliation https://www.grid.ac/institutes/grid.5290.e
227 schema:familyName Nomaguchi
228 schema:givenName Tatsuhiro
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07523605657.52
230 rdf:type schema:Person
231 sg:person.0762613204.20 schema:affiliation https://www.grid.ac/institutes/grid.136594.c
232 schema:familyName Yoshino
233 schema:givenName Tomoko
234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762613204.20
235 rdf:type schema:Person
236 sg:pub.10.1007/bf00391215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026373715
237 https://doi.org/10.1007/bf00391215
238 rdf:type schema:CreativeWork
239 sg:pub.10.1007/s10577-014-9416-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005826074
240 https://doi.org/10.1007/s10577-014-9416-x
241 rdf:type schema:CreativeWork
242 sg:pub.10.1007/s12010-009-8766-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041760706
243 https://doi.org/10.1007/s12010-009-8766-x
244 rdf:type schema:CreativeWork
245 sg:pub.10.1038/hdy.1994.19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035114105
246 https://doi.org/10.1038/hdy.1994.19
247 rdf:type schema:CreativeWork
248 sg:pub.10.1038/hdy.2012.79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029192393
249 https://doi.org/10.1038/hdy.2012.79
250 rdf:type schema:CreativeWork
251 sg:pub.10.1038/hdy.2012.94 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038336472
252 https://doi.org/10.1038/hdy.2012.94
253 rdf:type schema:CreativeWork
254 sg:pub.10.1038/nature07410 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020100652
255 https://doi.org/10.1038/nature07410
256 rdf:type schema:CreativeWork
257 sg:pub.10.1038/nature19840 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021511241
258 https://doi.org/10.1038/nature19840
259 rdf:type schema:CreativeWork
260 sg:pub.10.1038/nature20803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033587840
261 https://doi.org/10.1038/nature20803
262 rdf:type schema:CreativeWork
263 sg:pub.10.1038/nbt.3207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037216172
264 https://doi.org/10.1038/nbt.3207
265 rdf:type schema:CreativeWork
266 sg:pub.10.1038/ncomms1954 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050366846
267 https://doi.org/10.1038/ncomms1954
268 rdf:type schema:CreativeWork
269 sg:pub.10.1038/ncomms6764 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004735258
270 https://doi.org/10.1038/ncomms6764
271 rdf:type schema:CreativeWork
272 sg:pub.10.1038/ng.3657 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053001947
273 https://doi.org/10.1038/ng.3657
274 rdf:type schema:CreativeWork
275 sg:pub.10.1038/ng.919 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035519342
276 https://doi.org/10.1038/ng.919
277 rdf:type schema:CreativeWork
278 sg:pub.10.1038/nrg1711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022197221
279 https://doi.org/10.1038/nrg1711
280 rdf:type schema:CreativeWork
281 sg:pub.10.1038/srep44677 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084132557
282 https://doi.org/10.1038/srep44677
283 rdf:type schema:CreativeWork
284 sg:pub.10.1186/1471-2164-11-505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046341772
285 https://doi.org/10.1186/1471-2164-11-505
286 rdf:type schema:CreativeWork
287 sg:pub.10.1186/1471-2164-6-25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017704493
288 https://doi.org/10.1186/1471-2164-6-25
289 rdf:type schema:CreativeWork
290 sg:pub.10.1186/1741-7007-6-16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015122682
291 https://doi.org/10.1186/1741-7007-6-16
292 rdf:type schema:CreativeWork
293 sg:pub.10.1186/1756-0500-5-506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000010502
294 https://doi.org/10.1186/1756-0500-5-506
295 rdf:type schema:CreativeWork
296 sg:pub.10.1186/gb-2010-11-2-r17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035519319
297 https://doi.org/10.1186/gb-2010-11-2-r17
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1016/j.bbaexp.2007.04.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000028707
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1016/j.cbpc.2006.05.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034801711
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1016/j.cell.2016.04.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001816334
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1016/j.compbiomed.2008.05.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046422344
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1016/j.jbiosc.2013.11.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031870615
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1016/j.pbi.2016.02.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041974821
310 rdf:type schema:CreativeWork
311 https://doi.org/10.1016/j.plantsci.2016.04.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016338523
312 rdf:type schema:CreativeWork
313 https://doi.org/10.1016/j.protis.2007.06.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013169507
314 rdf:type schema:CreativeWork
315 https://doi.org/10.1016/j.protis.2008.11.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022305159
316 rdf:type schema:CreativeWork
317 https://doi.org/10.1016/s0168-9525(03)00015-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016136412
318 rdf:type schema:CreativeWork
319 https://doi.org/10.1016/s1360-1385(99)01501-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009798859
320 rdf:type schema:CreativeWork
321 https://doi.org/10.1073/pnas.1402475111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024597013
322 rdf:type schema:CreativeWork
323 https://doi.org/10.1073/pnas.92.25.11331 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031947507
324 rdf:type schema:CreativeWork
325 https://doi.org/10.1093/bioinformatics/btm404 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007683223
326 rdf:type schema:CreativeWork
327 https://doi.org/10.1093/bioinformatics/btp120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012425816
328 rdf:type schema:CreativeWork
329 https://doi.org/10.1093/bioinformatics/btu031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036320682
330 rdf:type schema:CreativeWork
331 https://doi.org/10.1093/gbe/evu014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028080320
332 rdf:type schema:CreativeWork
333 https://doi.org/10.1093/jhered/esr120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053546798
334 rdf:type schema:CreativeWork
335 https://doi.org/10.1093/jxb/ers192 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037022368
336 rdf:type schema:CreativeWork
337 https://doi.org/10.1093/molbev/mss110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004334302
338 rdf:type schema:CreativeWork
339 https://doi.org/10.1093/molbev/msu085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026507982
340 rdf:type schema:CreativeWork
341 https://doi.org/10.1093/molbev/msu207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053103241
342 rdf:type schema:CreativeWork
343 https://doi.org/10.1093/molbev/msv001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005525111
344 rdf:type schema:CreativeWork
345 https://doi.org/10.1093/molbev/msv191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059923124
346 rdf:type schema:CreativeWork
347 https://doi.org/10.1093/molbev/msw141 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004463838
348 rdf:type schema:CreativeWork
349 https://doi.org/10.1093/nar/gkh152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023168908
350 rdf:type schema:CreativeWork
351 https://doi.org/10.1093/nar/gkn176 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022937830
352 rdf:type schema:CreativeWork
353 https://doi.org/10.1093/nar/gkp335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007915246
354 rdf:type schema:CreativeWork
355 https://doi.org/10.1093/nar/gkt1069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029923692
356 rdf:type schema:CreativeWork
357 https://doi.org/10.1093/nar/gkt1376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040549706
358 rdf:type schema:CreativeWork
359 https://doi.org/10.1093/nar/gkv1176 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034036004
360 rdf:type schema:CreativeWork
361 https://doi.org/10.1093/nar/gkw413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040099621
362 rdf:type schema:CreativeWork
363 https://doi.org/10.1101/gad.11.16.2124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043499411
364 rdf:type schema:CreativeWork
365 https://doi.org/10.1101/gr.4708406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018948197
366 rdf:type schema:CreativeWork
367 https://doi.org/10.1104/pp.15.01300 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025140255
368 rdf:type schema:CreativeWork
369 https://doi.org/10.1105/tpc.114.135194 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002513852
370 rdf:type schema:CreativeWork
371 https://doi.org/10.1111/j.1365-313x.2011.04540.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037424308
372 rdf:type schema:CreativeWork
373 https://doi.org/10.1111/j.1469-185x.2012.00242.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030583954
374 rdf:type schema:CreativeWork
375 https://doi.org/10.1111/jpy.12350 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051513741
376 rdf:type schema:CreativeWork
377 https://doi.org/10.1111/nph.12131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053281869
378 rdf:type schema:CreativeWork
379 https://doi.org/10.1111/pbi.12651 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051349655
380 rdf:type schema:CreativeWork
381 https://doi.org/10.1111/pre.12066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032687878
382 rdf:type schema:CreativeWork
383 https://doi.org/10.1126/science.1101156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009311509
384 rdf:type schema:CreativeWork
385 https://doi.org/10.1126/science.1143986 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020777109
386 rdf:type schema:CreativeWork
387 https://doi.org/10.1126/science.1253435 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018317882
388 rdf:type schema:CreativeWork
389 https://doi.org/10.1128/ec.00326-10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038138504
390 rdf:type schema:CreativeWork
391 https://doi.org/10.1139/a10-020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016448359
392 rdf:type schema:CreativeWork
393 https://doi.org/10.1146/annurev-genet-120213-092159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052628442
394 rdf:type schema:CreativeWork
395 https://doi.org/10.1146/annurev.arplant.58.032806.103835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019949209
396 rdf:type schema:CreativeWork
397 https://doi.org/10.11646/phytotaxa.217.2.4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063369182
398 rdf:type schema:CreativeWork
399 https://doi.org/10.1371/journal.pbio.1000409 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033286626
400 rdf:type schema:CreativeWork
401 https://doi.org/10.1371/journal.pone.0036442 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031522953
402 rdf:type schema:CreativeWork
403 https://doi.org/10.1534/g3.111.000745 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050978567
404 rdf:type schema:CreativeWork
405 https://doi.org/10.1534/genetics.105.047894 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021998095
406 rdf:type schema:CreativeWork
407 https://doi.org/10.3390/md15040094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084436343
408 rdf:type schema:CreativeWork
409 https://doi.org/10.3732/ajb.1400119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018289118
410 rdf:type schema:CreativeWork
411 https://doi.org/10.3835/plantgenome2014.08.0041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071447901
412 rdf:type schema:CreativeWork
413 https://www.grid.ac/institutes/grid.136594.c schema:alternateName Tokyo University of Agriculture and Technology
414 schema:name Division of Biotechnology and Life Science, Institute of Engineering, Tokyo University of Agriculture and Technology, 2-24-16, Naka-cho, Koganei, 184-8588, Tokyo, Japan
415 rdf:type schema:Organization
416 https://www.grid.ac/institutes/grid.462036.5 schema:alternateName Institut de Biologie de l'École Normale Supérieure
417 schema:name Ecole Normale Supérieure, PSL Research University, Institut de Biologie de l’Ecole Normale Supérieure (IBENS), CNRS UMR 8197, INSERM U1024, 46 rue d’Ulm, F-75005, Paris, France
418 rdf:type schema:Organization
419 https://www.grid.ac/institutes/grid.5290.e schema:alternateName Waseda University
420 schema:name Department of Advanced Science and Engineering, Graduate School of Advanced Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, 169-8555, Tokyo, Japan
421 rdf:type schema:Organization
 




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


...