Leaf transcriptome of two highly divergent genotypes of Urochloa humidicola (Poaceae), a tropical polyploid forage grass adapted to acidic soils ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Bianca Baccili Zanotto Vigna, Fernanda Ancelmo de Oliveira, Guilherme de Toledo-Silva, Carla Cristina da Silva, Cacilda Borges do Valle, Anete Pereira de Souza

ABSTRACT

BACKGROUND: Urochloa humidicola (Koronivia grass) is a polyploid (6x to 9x) species that is used as forage in the tropics. Facultative apospory apomixis is present in most of the genotypes of this species, although one individual has been described as sexual. Molecular studies have been restricted to molecular marker approaches for genetic diversity estimations and linkage map construction. The objectives of the present study were to describe and compare the leaf transcriptome of two important genotypes that are highly divergent in terms of their phenotypes and reproduction modes: the sexual BH031 and the aposporous apomictic cultivar BRS Tupi. RESULTS: We sequenced the leaf transcriptome of Koronivia grass using an Illumina GAIIx system, which produced 13.09 Gb of data that consisted of 163,575,526 paired-end reads between the two libraries. We de novo-assembled 76,196 transcripts with an average length of 1,152 bp and filtered 35,093 non-redundant unigenes. A similarity search against the non-redundant National Center of Biotechnology Information (NCBI) protein database returned 65 % hits. We annotated 24,133 unigenes in the Phytozome database and 14,082 unigenes in the UniProtKB/Swiss-Prot database, assigned 108,334 gene ontology terms to 17,255 unigenes and identified 5,324 unigenes in 327 known metabolic pathways. Comparisons with other grasses via a reciprocal BLAST search revealed a larger number of orthologous genes for the Panicum species. The unigenes were involved in C4 photosynthesis, lignocellulose biosynthesis and flooding stress responses. A search for functional molecular markers revealed 4,489 microsatellites and 560,298 single nucleotide polymorphisms (SNPs). A quantitative real-time PCR analysis validated the RNA-seq expression analysis and allowed for the identification of transcriptomic differences between the two evaluated genotypes. Moreover, 192 unannotated sequences were classified as containing complete open reading frames, suggesting that the new, potentially exclusive genes should be further investigated. CONCLUSION: The present study represents the first whole-transcriptome sequencing of U. humidicola leaves, providing an important public information source of transcripts and functional molecular markers. The qPCR analysis indicated that the expression of certain transcripts confirmed the differential expression observed in silico, which demonstrated that RNA-seq is useful for identifying differentially expressed and unique genes. These results corroborate the findings from previous studies and suggest a hybrid origin for BH031. More... »

PAGES

910

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12864-016-3270-5

DOI

http://dx.doi.org/10.1186/s12864-016-3270-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017153616

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27835957


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": "Adaptation, Physiological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Databases, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Floods", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "High-Throughput Nucleotide Sequencing", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hydrogen-Ion Concentration", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microsatellite Repeats", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Photosynthesis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Plant Leaves", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Poaceae", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polyploidy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "RNA, Plant", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Real-Time Polymerase Chain Reaction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Analysis, RNA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Soil", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transcriptome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Brazilian Agricultural Research Corporation", 
          "id": "https://www.grid.ac/institutes/grid.460200.0", 
          "name": [
            "Embrapa Pecu\u00e1ria Sudeste, S\u00e3o Carlos, SP, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vigna", 
        "givenName": "Bianca Baccili Zanotto", 
        "id": "sg:person.07777547161.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07777547161.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "State University of Campinas", 
          "id": "https://www.grid.ac/institutes/grid.411087.b", 
          "name": [
            "Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Oliveira", 
        "givenName": "Fernanda Ancelmo", 
        "id": "sg:person.010575127561.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010575127561.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidade Federal de Santa Catarina", 
          "id": "https://www.grid.ac/institutes/grid.411237.2", 
          "name": [
            "Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil", 
            "Present Address: Department of Biochemistry, Center of Biological Sciences, Federal University of Santa Catarina, Florianopolis, SC, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Toledo-Silva", 
        "givenName": "Guilherme", 
        "id": "sg:person.01207120005.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207120005.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "State University of Campinas", 
          "id": "https://www.grid.ac/institutes/grid.411087.b", 
          "name": [
            "Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "da Silva", 
        "givenName": "Carla Cristina", 
        "id": "sg:person.01012131470.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012131470.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Brazilian Agricultural Research Corporation", 
          "id": "https://www.grid.ac/institutes/grid.460200.0", 
          "name": [
            "Embrapa Gado de Corte, Campo Grande, MS, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "do Valle", 
        "givenName": "Cacilda Borges", 
        "id": "sg:person.0663202773.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663202773.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "State University of Campinas", 
          "id": "https://www.grid.ac/institutes/grid.411087.b", 
          "name": [
            "Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil", 
            "Department of Plant Biology, Biology Institute, UNICAMP, Campinas, SP, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Souza", 
        "givenName": "Anete Pereira", 
        "id": "sg:person.01055510163.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055510163.70"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.nbt.2008.12.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000377002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0087693", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000480693"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1755-0998.2010.02979.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000860750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12686-009-9111-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001117687", 
          "https://doi.org/10.1007/s12686-009-9111-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12686-009-9111-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001117687", 
          "https://doi.org/10.1007/s12686-009-9111-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0900689106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001232954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/database/bar009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002484367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cub.2006.06.071", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003321166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkm306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003651676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0033892", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003789018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bti610", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006001436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10123-002-0062-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006539955", 
          "https://doi.org/10.1007/s10123-002-0062-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10123-002-0062-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006539955", 
          "https://doi.org/10.1007/s10123-002-0062-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1104/pp.108.123802", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006745413"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0135006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007666074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-9822(98)70145-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008236720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m703378200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009540774"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cub.2006.05.045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011682988"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0056573", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012231700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13104-015-1044-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013839467", 
          "https://doi.org/10.1186/s13104-015-1044-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13104-015-1044-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013839467", 
          "https://doi.org/10.1186/s13104-015-1044-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0034225", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014127251"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.1883", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015803168", 
          "https://doi.org/10.1038/nbt.1883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sajb.2005.11.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016123442"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbabio.2010.12.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016563489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-313x.2011.04529.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016710474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/28.1.27", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017305614"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0092087", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017452995"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkl031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017489244"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jplph.2008.02.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017622113"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.arplant.52.1.297", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018550389"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth1156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018949593", 
          "https://doi.org/10.1038/nmeth1156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-002-1031-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019511827", 
          "https://doi.org/10.1007/s00122-002-1031-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-313x.1994.05020215.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019697775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkh121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020798638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m207941200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020856541"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00041170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020936889", 
          "https://doi.org/10.1007/bf00041170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00041170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020936889", 
          "https://doi.org/10.1007/bf00041170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/fp09144", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021635661"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/g10-055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021676830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-12-323", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021902674", 
          "https://doi.org/10.1186/1471-2105-12-323"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1756-0500-6-397", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023186620", 
          "https://doi.org/10.1186/1756-0500-6-397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1756-0500-6-397", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023186620", 
          "https://doi.org/10.1186/1756-0500-6-397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jplph.2012.10.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023895935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1756-0500-4-523", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023996676", 
          "https://doi.org/10.1186/1756-0500-4-523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1756-0500-4-523", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023996676", 
          "https://doi.org/10.1186/1756-0500-4-523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0090636", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024347663"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5483/bmbrep.2006.39.5.595", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025467002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/tpj.12205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025774435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkr944", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025874294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.arplant.48.1.223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027018774"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2229-9-84", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027364477", 
          "https://doi.org/10.1186/1471-2229-9-84"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.95.17.10334", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029203242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1890/02-740", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029642062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10681-011-0402-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029915332", 
          "https://doi.org/10.1007/s10681-011-0402-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0102665", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030037542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0102665", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030037542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0046766", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030186735"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chembiol.2004.08.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030900752"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/353364a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031299323", 
          "https://doi.org/10.1038/353364a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1105/tpc.2.8.769", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031483842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0030619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031659477"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1744-697x.2010.00200.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034072084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1744-697x.2010.00200.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034072084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1105/tpc.104.022236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034459856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/17.9.847", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035069268"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0153764", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035453883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0153764", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035453883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s1984-70332011000500005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036414904"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1064281", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036527043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1756-0500-1-93", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037569167", 
          "https://doi.org/10.1186/1756-0500-1-93"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/1984-70332014v14n4a35", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037672703"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00021787", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037995627", 
          "https://doi.org/10.1007/bf00021787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00021787", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037995627", 
          "https://doi.org/10.1007/bf00021787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0981-9428(00)01213-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040147258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-14-17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040366335", 
          "https://doi.org/10.1186/1471-2164-14-17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0091474", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040771991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0070781", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042257468"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s1984-70332012000400002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043958819"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/75556", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044135237", 
          "https://doi.org/10.1038/75556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/75556", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044135237", 
          "https://doi.org/10.1038/75556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0169-5347(96)10009-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044188940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0968-0004(99)01520-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045457965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.arplant.54.031902.134938", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046048870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10535-008-0084-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046395325", 
          "https://doi.org/10.1007/s10535-008-0084-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1105/tpc.108.064097", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047443313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0084105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048914064"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/30.9.e36", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049412343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2009-10-3-r25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049583368", 
          "https://doi.org/10.1186/gb-2009-10-3-r25"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.arplant.53.100301.135154", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049886903"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-10-421", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050579230", 
          "https://doi.org/10.1186/1471-2105-10-421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m200268200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051456878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00709-009-0098-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051720370", 
          "https://doi.org/10.1007/s00709-009-0098-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00709-009-0098-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051720370", 
          "https://doi.org/10.1007/s00709-009-0098-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkm321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052015517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2229-8-112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052058208", 
          "https://doi.org/10.1186/1471-2229-8-112"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/dnares/dst005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052522689"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygeno.2010.03.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052838811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature10250", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053455032", 
          "https://doi.org/10.1038/nature10250"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1074-5521(04)00242-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054680309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1360-1385(96)86898-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054697171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkh121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059932018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/annotation/bbf4cb48-2f22-49ba-afce-b5263799c592", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065269082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3869175", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070467238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2527/1995.7392774x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070879293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/psb.5.8.12231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072309396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4238/vol8-4gmr679", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072397055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077526413", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/pcp/pcp163", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078203880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082764853", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.7.4.301", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083074532"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-12", 
    "datePublishedReg": "2016-12-01", 
    "description": "BACKGROUND: Urochloa humidicola (Koronivia grass) is a polyploid (6x to 9x) species that is used as forage in the tropics. Facultative apospory apomixis is present in most of the genotypes of this species, although one individual has been described as sexual. Molecular studies have been restricted to molecular marker approaches for genetic diversity estimations and linkage map construction. The objectives of the present study were to describe and compare the leaf transcriptome of two important genotypes that are highly divergent in terms of their phenotypes and reproduction modes: the sexual BH031 and the aposporous apomictic cultivar BRS Tupi.\nRESULTS: We sequenced the leaf transcriptome of Koronivia grass using an Illumina GAIIx system, which produced 13.09 Gb of data that consisted of 163,575,526 paired-end reads between the two libraries. We de novo-assembled 76,196 transcripts with an average length of 1,152\u00a0bp and filtered 35,093 non-redundant unigenes. A similarity search against the non-redundant National Center of Biotechnology Information (NCBI) protein database returned 65\u00a0% hits. We annotated 24,133 unigenes in the Phytozome database and 14,082 unigenes in the UniProtKB/Swiss-Prot database, assigned 108,334 gene ontology terms to 17,255 unigenes and identified 5,324 unigenes in 327 known metabolic pathways. Comparisons with other grasses via a reciprocal BLAST search revealed a larger number of orthologous genes for the Panicum species. The unigenes were involved in C4 photosynthesis, lignocellulose biosynthesis and flooding stress responses. A search for functional molecular markers revealed 4,489 microsatellites and 560,298 single nucleotide polymorphisms (SNPs). A quantitative real-time PCR analysis validated the RNA-seq expression analysis and allowed for the identification of transcriptomic differences between the two evaluated genotypes. Moreover, 192 unannotated sequences were classified as containing complete open reading frames, suggesting that the new, potentially exclusive genes should be further investigated.\nCONCLUSION: The present study represents the first whole-transcriptome sequencing of U. humidicola leaves, providing an important public information source of transcripts and functional molecular markers. The qPCR analysis indicated that the expression of certain transcripts confirmed the differential expression observed in silico, which demonstrated that RNA-seq is useful for identifying differentially expressed and unique genes. These results corroborate the findings from previous studies and suggest a hybrid origin for BH031.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12864-016-3270-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4494362", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1023790", 
        "issn": [
          "1471-2164"
        ], 
        "name": "BMC Genomics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "name": "Leaf transcriptome of two highly divergent genotypes of Urochloa humidicola (Poaceae), a tropical polyploid forage grass adapted to acidic soils and temporary flooding areas", 
    "pagination": "910", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "51b9d77b8067122c3f7b7cf5f5b0c17665c03b6011d9275efbdc8c29b4cc3968"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27835957"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100965258"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12864-016-3270-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1017153616"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12864-016-3270-5", 
      "https://app.dimensions.ai/details/publication/pub.1017153616"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:20", 
    "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/v90/0000000362_0000000362/records_87078_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12864-016-3270-5"
  }
]
 

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/s12864-016-3270-5'

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/s12864-016-3270-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12864-016-3270-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12864-016-3270-5'


 

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

498 TRIPLES      21 PREDICATES      144 URIs      38 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12864-016-3270-5 schema:about N031f05667d0b422aa4f6e86b1b0b6b18
2 N0a20da765c9c471fa01f96e02b84ef42
3 N0b419836bf8441839cc5da0203c33d86
4 N0ed1a41bc7de42178593ccd34013c8d7
5 N337d7a4fca4d4db097e43bcfc1664e4c
6 N4b1596fdd1f9456c9f1a3e5ffd7b46ef
7 N55ae1771aa9540daaae00297337621a4
8 N6364f86afb7d456a8dc51d39673ad910
9 N7a351ac726da46d0813105e9afc652b9
10 N8260df7171c247d6970f6202dcb9a51d
11 N8d2ba0218df54e8bb6c94e06ea40cc3f
12 N944d1cc2f73247ce9b99ab48f8eaca01
13 Nb1e7157e75544fefb612d68a75b54dcf
14 Nc45fdde1ca0f4cfab6d88966353ff7ed
15 Nd588c6f387844c63bcb8e2833d8a046c
16 Nef96175358144714b32f89d7bb4d8688
17 Nf2885fad89fd4cef9b84aeee7563eafd
18 anzsrc-for:06
19 anzsrc-for:0604
20 schema:author Nd5b9684556ff4f01a9b4e7021a5e2d83
21 schema:citation sg:pub.10.1007/bf00021787
22 sg:pub.10.1007/bf00041170
23 sg:pub.10.1007/s00122-002-1031-0
24 sg:pub.10.1007/s00709-009-0098-8
25 sg:pub.10.1007/s10123-002-0062-3
26 sg:pub.10.1007/s10535-008-0084-6
27 sg:pub.10.1007/s10681-011-0402-5
28 sg:pub.10.1007/s12686-009-9111-y
29 sg:pub.10.1038/353364a0
30 sg:pub.10.1038/75556
31 sg:pub.10.1038/nature10250
32 sg:pub.10.1038/nbt.1883
33 sg:pub.10.1038/nmeth1156
34 sg:pub.10.1186/1471-2105-10-421
35 sg:pub.10.1186/1471-2105-12-323
36 sg:pub.10.1186/1471-2164-14-17
37 sg:pub.10.1186/1471-2229-8-112
38 sg:pub.10.1186/1471-2229-9-84
39 sg:pub.10.1186/1756-0500-1-93
40 sg:pub.10.1186/1756-0500-4-523
41 sg:pub.10.1186/1756-0500-6-397
42 sg:pub.10.1186/gb-2009-10-3-r25
43 sg:pub.10.1186/s13104-015-1044-9
44 https://app.dimensions.ai/details/publication/pub.1077526413
45 https://app.dimensions.ai/details/publication/pub.1082764853
46 https://doi.org/10.1016/0169-5347(96)10009-4
47 https://doi.org/10.1016/j.bbabio.2010.12.013
48 https://doi.org/10.1016/j.chembiol.2004.08.009
49 https://doi.org/10.1016/j.cub.2006.05.045
50 https://doi.org/10.1016/j.cub.2006.06.071
51 https://doi.org/10.1016/j.jplph.2008.02.006
52 https://doi.org/10.1016/j.jplph.2012.10.011
53 https://doi.org/10.1016/j.nbt.2008.12.009
54 https://doi.org/10.1016/j.sajb.2005.11.004
55 https://doi.org/10.1016/j.ygeno.2010.03.001
56 https://doi.org/10.1016/s0960-9822(98)70145-9
57 https://doi.org/10.1016/s0968-0004(99)01520-0
58 https://doi.org/10.1016/s0981-9428(00)01213-4
59 https://doi.org/10.1016/s1074-5521(04)00242-x
60 https://doi.org/10.1016/s1360-1385(96)86898-0
61 https://doi.org/10.1046/j.1365-313x.1994.05020215.x
62 https://doi.org/10.1071/fp09144
63 https://doi.org/10.1073/pnas.0900689106
64 https://doi.org/10.1073/pnas.95.17.10334
65 https://doi.org/10.1074/jbc.m200268200
66 https://doi.org/10.1074/jbc.m207941200
67 https://doi.org/10.1074/jbc.m703378200
68 https://doi.org/10.1093/bioinformatics/17.9.847
69 https://doi.org/10.1093/bioinformatics/bti610
70 https://doi.org/10.1093/database/bar009
71 https://doi.org/10.1093/dnares/dst005
72 https://doi.org/10.1093/nar/28.1.27
73 https://doi.org/10.1093/nar/30.9.e36
74 https://doi.org/10.1093/nar/gkh121
75 https://doi.org/10.1093/nar/gkl031
76 https://doi.org/10.1093/nar/gkm306
77 https://doi.org/10.1093/nar/gkm321
78 https://doi.org/10.1093/nar/gkr944
79 https://doi.org/10.1093/pcp/pcp163
80 https://doi.org/10.1101/gr.7.4.301
81 https://doi.org/10.1104/pp.108.123802
82 https://doi.org/10.1105/tpc.104.022236
83 https://doi.org/10.1105/tpc.108.064097
84 https://doi.org/10.1105/tpc.2.8.769
85 https://doi.org/10.1111/j.1365-313x.2011.04529.x
86 https://doi.org/10.1111/j.1744-697x.2010.00200.x
87 https://doi.org/10.1111/j.1755-0998.2010.02979.x
88 https://doi.org/10.1111/tpj.12205
89 https://doi.org/10.1126/science.1064281
90 https://doi.org/10.1139/g10-055
91 https://doi.org/10.1146/annurev.arplant.48.1.223
92 https://doi.org/10.1146/annurev.arplant.52.1.297
93 https://doi.org/10.1146/annurev.arplant.53.100301.135154
94 https://doi.org/10.1146/annurev.arplant.54.031902.134938
95 https://doi.org/10.1371/annotation/bbf4cb48-2f22-49ba-afce-b5263799c592
96 https://doi.org/10.1371/journal.pone.0030619
97 https://doi.org/10.1371/journal.pone.0033892
98 https://doi.org/10.1371/journal.pone.0034225
99 https://doi.org/10.1371/journal.pone.0046766
100 https://doi.org/10.1371/journal.pone.0056573
101 https://doi.org/10.1371/journal.pone.0070781
102 https://doi.org/10.1371/journal.pone.0084105
103 https://doi.org/10.1371/journal.pone.0087693
104 https://doi.org/10.1371/journal.pone.0090636
105 https://doi.org/10.1371/journal.pone.0091474
106 https://doi.org/10.1371/journal.pone.0092087
107 https://doi.org/10.1371/journal.pone.0102665
108 https://doi.org/10.1371/journal.pone.0135006
109 https://doi.org/10.1371/journal.pone.0153764
110 https://doi.org/10.1590/1984-70332014v14n4a35
111 https://doi.org/10.1590/s1984-70332011000500005
112 https://doi.org/10.1590/s1984-70332012000400002
113 https://doi.org/10.1890/02-740
114 https://doi.org/10.2307/3869175
115 https://doi.org/10.2527/1995.7392774x
116 https://doi.org/10.4161/psb.5.8.12231
117 https://doi.org/10.4238/vol8-4gmr679
118 https://doi.org/10.5483/bmbrep.2006.39.5.595
119 schema:datePublished 2016-12
120 schema:datePublishedReg 2016-12-01
121 schema:description BACKGROUND: Urochloa humidicola (Koronivia grass) is a polyploid (6x to 9x) species that is used as forage in the tropics. Facultative apospory apomixis is present in most of the genotypes of this species, although one individual has been described as sexual. Molecular studies have been restricted to molecular marker approaches for genetic diversity estimations and linkage map construction. The objectives of the present study were to describe and compare the leaf transcriptome of two important genotypes that are highly divergent in terms of their phenotypes and reproduction modes: the sexual BH031 and the aposporous apomictic cultivar BRS Tupi. RESULTS: We sequenced the leaf transcriptome of Koronivia grass using an Illumina GAIIx system, which produced 13.09 Gb of data that consisted of 163,575,526 paired-end reads between the two libraries. We de novo-assembled 76,196 transcripts with an average length of 1,152 bp and filtered 35,093 non-redundant unigenes. A similarity search against the non-redundant National Center of Biotechnology Information (NCBI) protein database returned 65 % hits. We annotated 24,133 unigenes in the Phytozome database and 14,082 unigenes in the UniProtKB/Swiss-Prot database, assigned 108,334 gene ontology terms to 17,255 unigenes and identified 5,324 unigenes in 327 known metabolic pathways. Comparisons with other grasses via a reciprocal BLAST search revealed a larger number of orthologous genes for the Panicum species. The unigenes were involved in C4 photosynthesis, lignocellulose biosynthesis and flooding stress responses. A search for functional molecular markers revealed 4,489 microsatellites and 560,298 single nucleotide polymorphisms (SNPs). A quantitative real-time PCR analysis validated the RNA-seq expression analysis and allowed for the identification of transcriptomic differences between the two evaluated genotypes. Moreover, 192 unannotated sequences were classified as containing complete open reading frames, suggesting that the new, potentially exclusive genes should be further investigated. CONCLUSION: The present study represents the first whole-transcriptome sequencing of U. humidicola leaves, providing an important public information source of transcripts and functional molecular markers. The qPCR analysis indicated that the expression of certain transcripts confirmed the differential expression observed in silico, which demonstrated that RNA-seq is useful for identifying differentially expressed and unique genes. These results corroborate the findings from previous studies and suggest a hybrid origin for BH031.
122 schema:genre research_article
123 schema:inLanguage en
124 schema:isAccessibleForFree true
125 schema:isPartOf N1b84a58d9ed14dd1b4416a0286008f80
126 Nff5cd453ca044ef98908b1c8a9e764b0
127 sg:journal.1023790
128 schema:name Leaf transcriptome of two highly divergent genotypes of Urochloa humidicola (Poaceae), a tropical polyploid forage grass adapted to acidic soils and temporary flooding areas
129 schema:pagination 910
130 schema:productId N42a3fbf29ea8445985601cbaf769bb9e
131 N83343e83cd6f4456b68a8de5190f80f1
132 N8cd9ddba69d04a7ca9b453714d761ca7
133 Nbe6dd3aaf0f64ac9aed3af71bcbaa52f
134 Ndb1f1ac6304f45b98b6099b4226cba27
135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017153616
136 https://doi.org/10.1186/s12864-016-3270-5
137 schema:sdDatePublished 2019-04-11T12:20
138 schema:sdLicense https://scigraph.springernature.com/explorer/license/
139 schema:sdPublisher Nd9c1ea2cd92441729ffe63cf8ca96b62
140 schema:url https://link.springer.com/10.1186%2Fs12864-016-3270-5
141 sgo:license sg:explorer/license/
142 sgo:sdDataset articles
143 rdf:type schema:ScholarlyArticle
144 N031f05667d0b422aa4f6e86b1b0b6b18 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Adaptation, Physiological
146 rdf:type schema:DefinedTerm
147 N0a20da765c9c471fa01f96e02b84ef42 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Hydrogen-Ion Concentration
149 rdf:type schema:DefinedTerm
150 N0b419836bf8441839cc5da0203c33d86 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Photosynthesis
152 rdf:type schema:DefinedTerm
153 N0ed1a41bc7de42178593ccd34013c8d7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Soil
155 rdf:type schema:DefinedTerm
156 N1b84a58d9ed14dd1b4416a0286008f80 schema:issueNumber 1
157 rdf:type schema:PublicationIssue
158 N29302a00f6334d6e9e0d4b57788c68c9 rdf:first sg:person.01012131470.20
159 rdf:rest Nc6b03d62d924439fbe7ee01167c14783
160 N337d7a4fca4d4db097e43bcfc1664e4c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Transcriptome
162 rdf:type schema:DefinedTerm
163 N42a3fbf29ea8445985601cbaf769bb9e schema:name doi
164 schema:value 10.1186/s12864-016-3270-5
165 rdf:type schema:PropertyValue
166 N4b1596fdd1f9456c9f1a3e5ffd7b46ef schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Sequence Analysis, RNA
168 rdf:type schema:DefinedTerm
169 N55ae1771aa9540daaae00297337621a4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Real-Time Polymerase Chain Reaction
171 rdf:type schema:DefinedTerm
172 N620269cb15e74bc7935a8e3f4288ee76 rdf:first sg:person.01207120005.44
173 rdf:rest N29302a00f6334d6e9e0d4b57788c68c9
174 N6364f86afb7d456a8dc51d39673ad910 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Polyploidy
176 rdf:type schema:DefinedTerm
177 N79e24233f0904a1ea11300c496f8e1ae rdf:first sg:person.010575127561.22
178 rdf:rest N620269cb15e74bc7935a8e3f4288ee76
179 N7a351ac726da46d0813105e9afc652b9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
180 schema:name RNA, Plant
181 rdf:type schema:DefinedTerm
182 N8260df7171c247d6970f6202dcb9a51d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
183 schema:name Databases, Genetic
184 rdf:type schema:DefinedTerm
185 N83343e83cd6f4456b68a8de5190f80f1 schema:name dimensions_id
186 schema:value pub.1017153616
187 rdf:type schema:PropertyValue
188 N843b0fb46af64d32be95ba91ffe17171 rdf:first sg:person.01055510163.70
189 rdf:rest rdf:nil
190 N8cd9ddba69d04a7ca9b453714d761ca7 schema:name nlm_unique_id
191 schema:value 100965258
192 rdf:type schema:PropertyValue
193 N8d2ba0218df54e8bb6c94e06ea40cc3f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
194 schema:name Poaceae
195 rdf:type schema:DefinedTerm
196 N944d1cc2f73247ce9b99ab48f8eaca01 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
197 schema:name Microsatellite Repeats
198 rdf:type schema:DefinedTerm
199 Nb1e7157e75544fefb612d68a75b54dcf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
200 schema:name Polymorphism, Single Nucleotide
201 rdf:type schema:DefinedTerm
202 Nbe6dd3aaf0f64ac9aed3af71bcbaa52f schema:name readcube_id
203 schema:value 51b9d77b8067122c3f7b7cf5f5b0c17665c03b6011d9275efbdc8c29b4cc3968
204 rdf:type schema:PropertyValue
205 Nc45fdde1ca0f4cfab6d88966353ff7ed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
206 schema:name Plant Leaves
207 rdf:type schema:DefinedTerm
208 Nc6b03d62d924439fbe7ee01167c14783 rdf:first sg:person.0663202773.49
209 rdf:rest N843b0fb46af64d32be95ba91ffe17171
210 Nd588c6f387844c63bcb8e2833d8a046c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
211 schema:name Floods
212 rdf:type schema:DefinedTerm
213 Nd5b9684556ff4f01a9b4e7021a5e2d83 rdf:first sg:person.07777547161.52
214 rdf:rest N79e24233f0904a1ea11300c496f8e1ae
215 Nd9c1ea2cd92441729ffe63cf8ca96b62 schema:name Springer Nature - SN SciGraph project
216 rdf:type schema:Organization
217 Ndb1f1ac6304f45b98b6099b4226cba27 schema:name pubmed_id
218 schema:value 27835957
219 rdf:type schema:PropertyValue
220 Nef96175358144714b32f89d7bb4d8688 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
221 schema:name Genotype
222 rdf:type schema:DefinedTerm
223 Nf2885fad89fd4cef9b84aeee7563eafd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
224 schema:name High-Throughput Nucleotide Sequencing
225 rdf:type schema:DefinedTerm
226 Nff5cd453ca044ef98908b1c8a9e764b0 schema:volumeNumber 17
227 rdf:type schema:PublicationVolume
228 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
229 schema:name Biological Sciences
230 rdf:type schema:DefinedTerm
231 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
232 schema:name Genetics
233 rdf:type schema:DefinedTerm
234 sg:grant.4494362 http://pending.schema.org/fundedItem sg:pub.10.1186/s12864-016-3270-5
235 rdf:type schema:MonetaryGrant
236 sg:journal.1023790 schema:issn 1471-2164
237 schema:name BMC Genomics
238 rdf:type schema:Periodical
239 sg:person.01012131470.20 schema:affiliation https://www.grid.ac/institutes/grid.411087.b
240 schema:familyName da Silva
241 schema:givenName Carla Cristina
242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012131470.20
243 rdf:type schema:Person
244 sg:person.01055510163.70 schema:affiliation https://www.grid.ac/institutes/grid.411087.b
245 schema:familyName de Souza
246 schema:givenName Anete Pereira
247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055510163.70
248 rdf:type schema:Person
249 sg:person.010575127561.22 schema:affiliation https://www.grid.ac/institutes/grid.411087.b
250 schema:familyName de Oliveira
251 schema:givenName Fernanda Ancelmo
252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010575127561.22
253 rdf:type schema:Person
254 sg:person.01207120005.44 schema:affiliation https://www.grid.ac/institutes/grid.411237.2
255 schema:familyName de Toledo-Silva
256 schema:givenName Guilherme
257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207120005.44
258 rdf:type schema:Person
259 sg:person.0663202773.49 schema:affiliation https://www.grid.ac/institutes/grid.460200.0
260 schema:familyName do Valle
261 schema:givenName Cacilda Borges
262 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663202773.49
263 rdf:type schema:Person
264 sg:person.07777547161.52 schema:affiliation https://www.grid.ac/institutes/grid.460200.0
265 schema:familyName Vigna
266 schema:givenName Bianca Baccili Zanotto
267 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07777547161.52
268 rdf:type schema:Person
269 sg:pub.10.1007/bf00021787 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037995627
270 https://doi.org/10.1007/bf00021787
271 rdf:type schema:CreativeWork
272 sg:pub.10.1007/bf00041170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020936889
273 https://doi.org/10.1007/bf00041170
274 rdf:type schema:CreativeWork
275 sg:pub.10.1007/s00122-002-1031-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019511827
276 https://doi.org/10.1007/s00122-002-1031-0
277 rdf:type schema:CreativeWork
278 sg:pub.10.1007/s00709-009-0098-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051720370
279 https://doi.org/10.1007/s00709-009-0098-8
280 rdf:type schema:CreativeWork
281 sg:pub.10.1007/s10123-002-0062-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006539955
282 https://doi.org/10.1007/s10123-002-0062-3
283 rdf:type schema:CreativeWork
284 sg:pub.10.1007/s10535-008-0084-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046395325
285 https://doi.org/10.1007/s10535-008-0084-6
286 rdf:type schema:CreativeWork
287 sg:pub.10.1007/s10681-011-0402-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029915332
288 https://doi.org/10.1007/s10681-011-0402-5
289 rdf:type schema:CreativeWork
290 sg:pub.10.1007/s12686-009-9111-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1001117687
291 https://doi.org/10.1007/s12686-009-9111-y
292 rdf:type schema:CreativeWork
293 sg:pub.10.1038/353364a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031299323
294 https://doi.org/10.1038/353364a0
295 rdf:type schema:CreativeWork
296 sg:pub.10.1038/75556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044135237
297 https://doi.org/10.1038/75556
298 rdf:type schema:CreativeWork
299 sg:pub.10.1038/nature10250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053455032
300 https://doi.org/10.1038/nature10250
301 rdf:type schema:CreativeWork
302 sg:pub.10.1038/nbt.1883 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015803168
303 https://doi.org/10.1038/nbt.1883
304 rdf:type schema:CreativeWork
305 sg:pub.10.1038/nmeth1156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018949593
306 https://doi.org/10.1038/nmeth1156
307 rdf:type schema:CreativeWork
308 sg:pub.10.1186/1471-2105-10-421 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050579230
309 https://doi.org/10.1186/1471-2105-10-421
310 rdf:type schema:CreativeWork
311 sg:pub.10.1186/1471-2105-12-323 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021902674
312 https://doi.org/10.1186/1471-2105-12-323
313 rdf:type schema:CreativeWork
314 sg:pub.10.1186/1471-2164-14-17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040366335
315 https://doi.org/10.1186/1471-2164-14-17
316 rdf:type schema:CreativeWork
317 sg:pub.10.1186/1471-2229-8-112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052058208
318 https://doi.org/10.1186/1471-2229-8-112
319 rdf:type schema:CreativeWork
320 sg:pub.10.1186/1471-2229-9-84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027364477
321 https://doi.org/10.1186/1471-2229-9-84
322 rdf:type schema:CreativeWork
323 sg:pub.10.1186/1756-0500-1-93 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037569167
324 https://doi.org/10.1186/1756-0500-1-93
325 rdf:type schema:CreativeWork
326 sg:pub.10.1186/1756-0500-4-523 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023996676
327 https://doi.org/10.1186/1756-0500-4-523
328 rdf:type schema:CreativeWork
329 sg:pub.10.1186/1756-0500-6-397 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023186620
330 https://doi.org/10.1186/1756-0500-6-397
331 rdf:type schema:CreativeWork
332 sg:pub.10.1186/gb-2009-10-3-r25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049583368
333 https://doi.org/10.1186/gb-2009-10-3-r25
334 rdf:type schema:CreativeWork
335 sg:pub.10.1186/s13104-015-1044-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013839467
336 https://doi.org/10.1186/s13104-015-1044-9
337 rdf:type schema:CreativeWork
338 https://app.dimensions.ai/details/publication/pub.1077526413 schema:CreativeWork
339 https://app.dimensions.ai/details/publication/pub.1082764853 schema:CreativeWork
340 https://doi.org/10.1016/0169-5347(96)10009-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044188940
341 rdf:type schema:CreativeWork
342 https://doi.org/10.1016/j.bbabio.2010.12.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016563489
343 rdf:type schema:CreativeWork
344 https://doi.org/10.1016/j.chembiol.2004.08.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030900752
345 rdf:type schema:CreativeWork
346 https://doi.org/10.1016/j.cub.2006.05.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011682988
347 rdf:type schema:CreativeWork
348 https://doi.org/10.1016/j.cub.2006.06.071 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003321166
349 rdf:type schema:CreativeWork
350 https://doi.org/10.1016/j.jplph.2008.02.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017622113
351 rdf:type schema:CreativeWork
352 https://doi.org/10.1016/j.jplph.2012.10.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023895935
353 rdf:type schema:CreativeWork
354 https://doi.org/10.1016/j.nbt.2008.12.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000377002
355 rdf:type schema:CreativeWork
356 https://doi.org/10.1016/j.sajb.2005.11.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016123442
357 rdf:type schema:CreativeWork
358 https://doi.org/10.1016/j.ygeno.2010.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052838811
359 rdf:type schema:CreativeWork
360 https://doi.org/10.1016/s0960-9822(98)70145-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008236720
361 rdf:type schema:CreativeWork
362 https://doi.org/10.1016/s0968-0004(99)01520-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045457965
363 rdf:type schema:CreativeWork
364 https://doi.org/10.1016/s0981-9428(00)01213-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040147258
365 rdf:type schema:CreativeWork
366 https://doi.org/10.1016/s1074-5521(04)00242-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1054680309
367 rdf:type schema:CreativeWork
368 https://doi.org/10.1016/s1360-1385(96)86898-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054697171
369 rdf:type schema:CreativeWork
370 https://doi.org/10.1046/j.1365-313x.1994.05020215.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019697775
371 rdf:type schema:CreativeWork
372 https://doi.org/10.1071/fp09144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021635661
373 rdf:type schema:CreativeWork
374 https://doi.org/10.1073/pnas.0900689106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001232954
375 rdf:type schema:CreativeWork
376 https://doi.org/10.1073/pnas.95.17.10334 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029203242
377 rdf:type schema:CreativeWork
378 https://doi.org/10.1074/jbc.m200268200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051456878
379 rdf:type schema:CreativeWork
380 https://doi.org/10.1074/jbc.m207941200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020856541
381 rdf:type schema:CreativeWork
382 https://doi.org/10.1074/jbc.m703378200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009540774
383 rdf:type schema:CreativeWork
384 https://doi.org/10.1093/bioinformatics/17.9.847 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035069268
385 rdf:type schema:CreativeWork
386 https://doi.org/10.1093/bioinformatics/bti610 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006001436
387 rdf:type schema:CreativeWork
388 https://doi.org/10.1093/database/bar009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002484367
389 rdf:type schema:CreativeWork
390 https://doi.org/10.1093/dnares/dst005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052522689
391 rdf:type schema:CreativeWork
392 https://doi.org/10.1093/nar/28.1.27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017305614
393 rdf:type schema:CreativeWork
394 https://doi.org/10.1093/nar/30.9.e36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049412343
395 rdf:type schema:CreativeWork
396 https://doi.org/10.1093/nar/gkh121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020798638
397 https://app.dimensions.ai/details/publication/pub.1059932018
398 rdf:type schema:CreativeWork
399 https://doi.org/10.1093/nar/gkl031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017489244
400 rdf:type schema:CreativeWork
401 https://doi.org/10.1093/nar/gkm306 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003651676
402 rdf:type schema:CreativeWork
403 https://doi.org/10.1093/nar/gkm321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052015517
404 rdf:type schema:CreativeWork
405 https://doi.org/10.1093/nar/gkr944 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025874294
406 rdf:type schema:CreativeWork
407 https://doi.org/10.1093/pcp/pcp163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078203880
408 rdf:type schema:CreativeWork
409 https://doi.org/10.1101/gr.7.4.301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083074532
410 rdf:type schema:CreativeWork
411 https://doi.org/10.1104/pp.108.123802 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006745413
412 rdf:type schema:CreativeWork
413 https://doi.org/10.1105/tpc.104.022236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034459856
414 rdf:type schema:CreativeWork
415 https://doi.org/10.1105/tpc.108.064097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047443313
416 rdf:type schema:CreativeWork
417 https://doi.org/10.1105/tpc.2.8.769 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031483842
418 rdf:type schema:CreativeWork
419 https://doi.org/10.1111/j.1365-313x.2011.04529.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016710474
420 rdf:type schema:CreativeWork
421 https://doi.org/10.1111/j.1744-697x.2010.00200.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034072084
422 rdf:type schema:CreativeWork
423 https://doi.org/10.1111/j.1755-0998.2010.02979.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000860750
424 rdf:type schema:CreativeWork
425 https://doi.org/10.1111/tpj.12205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025774435
426 rdf:type schema:CreativeWork
427 https://doi.org/10.1126/science.1064281 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036527043
428 rdf:type schema:CreativeWork
429 https://doi.org/10.1139/g10-055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021676830
430 rdf:type schema:CreativeWork
431 https://doi.org/10.1146/annurev.arplant.48.1.223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027018774
432 rdf:type schema:CreativeWork
433 https://doi.org/10.1146/annurev.arplant.52.1.297 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018550389
434 rdf:type schema:CreativeWork
435 https://doi.org/10.1146/annurev.arplant.53.100301.135154 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049886903
436 rdf:type schema:CreativeWork
437 https://doi.org/10.1146/annurev.arplant.54.031902.134938 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046048870
438 rdf:type schema:CreativeWork
439 https://doi.org/10.1371/annotation/bbf4cb48-2f22-49ba-afce-b5263799c592 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065269082
440 rdf:type schema:CreativeWork
441 https://doi.org/10.1371/journal.pone.0030619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031659477
442 rdf:type schema:CreativeWork
443 https://doi.org/10.1371/journal.pone.0033892 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003789018
444 rdf:type schema:CreativeWork
445 https://doi.org/10.1371/journal.pone.0034225 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014127251
446 rdf:type schema:CreativeWork
447 https://doi.org/10.1371/journal.pone.0046766 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030186735
448 rdf:type schema:CreativeWork
449 https://doi.org/10.1371/journal.pone.0056573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012231700
450 rdf:type schema:CreativeWork
451 https://doi.org/10.1371/journal.pone.0070781 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042257468
452 rdf:type schema:CreativeWork
453 https://doi.org/10.1371/journal.pone.0084105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048914064
454 rdf:type schema:CreativeWork
455 https://doi.org/10.1371/journal.pone.0087693 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000480693
456 rdf:type schema:CreativeWork
457 https://doi.org/10.1371/journal.pone.0090636 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024347663
458 rdf:type schema:CreativeWork
459 https://doi.org/10.1371/journal.pone.0091474 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040771991
460 rdf:type schema:CreativeWork
461 https://doi.org/10.1371/journal.pone.0092087 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017452995
462 rdf:type schema:CreativeWork
463 https://doi.org/10.1371/journal.pone.0102665 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030037542
464 rdf:type schema:CreativeWork
465 https://doi.org/10.1371/journal.pone.0135006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007666074
466 rdf:type schema:CreativeWork
467 https://doi.org/10.1371/journal.pone.0153764 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035453883
468 rdf:type schema:CreativeWork
469 https://doi.org/10.1590/1984-70332014v14n4a35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037672703
470 rdf:type schema:CreativeWork
471 https://doi.org/10.1590/s1984-70332011000500005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036414904
472 rdf:type schema:CreativeWork
473 https://doi.org/10.1590/s1984-70332012000400002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043958819
474 rdf:type schema:CreativeWork
475 https://doi.org/10.1890/02-740 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029642062
476 rdf:type schema:CreativeWork
477 https://doi.org/10.2307/3869175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070467238
478 rdf:type schema:CreativeWork
479 https://doi.org/10.2527/1995.7392774x schema:sameAs https://app.dimensions.ai/details/publication/pub.1070879293
480 rdf:type schema:CreativeWork
481 https://doi.org/10.4161/psb.5.8.12231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072309396
482 rdf:type schema:CreativeWork
483 https://doi.org/10.4238/vol8-4gmr679 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072397055
484 rdf:type schema:CreativeWork
485 https://doi.org/10.5483/bmbrep.2006.39.5.595 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025467002
486 rdf:type schema:CreativeWork
487 https://www.grid.ac/institutes/grid.411087.b schema:alternateName State University of Campinas
488 schema:name Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil
489 Department of Plant Biology, Biology Institute, UNICAMP, Campinas, SP, Brazil
490 rdf:type schema:Organization
491 https://www.grid.ac/institutes/grid.411237.2 schema:alternateName Universidade Federal de Santa Catarina
492 schema:name Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil
493 Present Address: Department of Biochemistry, Center of Biological Sciences, Federal University of Santa Catarina, Florianopolis, SC, Brazil
494 rdf:type schema:Organization
495 https://www.grid.ac/institutes/grid.460200.0 schema:alternateName Brazilian Agricultural Research Corporation
496 schema:name Embrapa Gado de Corte, Campo Grande, MS, Brazil
497 Embrapa Pecuária Sudeste, São Carlos, SP, Brazil
498 rdf:type schema:Organization
 




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


...