Endophytic bacterial microbiome associated with leaves of genetically modified (AtAREB1) and conventional (BR 16) soybean plants View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-04

AUTHORS

Katiúscia Kelli Montanari-Coelho, Alessandra Tenório Costa, Julio Cesar Polonio, João Lúcio Azevedo, Silvana Regina Rockenbach Marin, Renata Fuganti-Pagliarini, Yasunari Fujita, Kazuko Yamaguchi-Shinozaki, Kazuo Nakashima, João Alencar Pamphile, Alexandre Lima Nepomuceno

ABSTRACT

Plant leaves (phyllosphere) have a great potential for colonization and microbial growth, consisting of a dynamic environment in which several factors can interfere with the microbial population structure. The use of genetically modified (GM) plants has introduced several traits in agriculture, such as the improvement of plant drought tolerance, as observed in the AtAREB1 transcription factor overexpression in soybean (Glycine max L. Merrill). The present study aimed at investigating the taxonomic and functional profile of the leaf microbial community of bacteria found in GM (drought-tolerant event 1Ea2939) and conventional (BR 16) soybean plants. Bacterial DNA was extracted from leaf samples collected from each genotype and used for microbial diversity and richness analysis through the MiSeq Illumina platform. Functional prediction was performed using the PICRUSt tool and the STAMP v 2.1.3 software. The obtainment of the GM event 1Ea2939 showed minimum effects on the microbial community and in the potential for chemical-genetic communication, i.e. in the potential for symbiotic and/or mutualistic interaction between plants and their natural microbiota. More... »

PAGES

56

References to SciGraph publications

  • 2013-09. Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences in NATURE BIOTECHNOLOGY
  • 2015-12. An accurate and efficient experimental approach for characterization of the complex oral microbiota in MICROBIOME
  • 2010-02. Identification of iron-reducing microorganisms in anoxic rice paddy soil by 13C-acetate probing in THE ISME JOURNAL
  • 2015-12. Genome sequence of a dissimilatory Fe(III)-reducing bacterium Geobacter soli type strain GSS01T in STANDARDS IN GENOMIC SCIENCES
  • 2012-03. An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea in THE ISME JOURNAL
  • 2013-06. Overexpression of the ABA-Dependent AREB1 Transcription Factor from Arabidopsis thaliana Improves Soybean Tolerance to Water Deficit in PLANT MOLECULAR BIOLOGY REPORTER
  • 2015-12. Transcriptomic changes due to water deficit define a general soybean response and accession-specific pathways for drought avoidance in BMC PLANT BIOLOGY
  • 2012-07. Metaproteogenomic analysis of microbial communities in the phyllosphere and rhizosphere of rice in THE ISME JOURNAL
  • 2008-01. Rhizosphere microbial community and its response to plant species and soil history in PLANT AND SOIL
  • 2012-12. Microbial life in the phyllosphere in NATURE REVIEWS MICROBIOLOGY
  • 2002-07. Molecular characterization of endophytic strains of Fusarium verticillioides (= Fusarium moniliforme) from maize (Zea mays. L) in WORLD JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY
  • 2015-12. Draft genome sequence of Halomonas lutea strain YIM 91125T (DSM 23508T) isolated from the alkaline Lake Ebinur in Northwest China in STANDARDS IN GENOMIC SCIENCES
  • 2013-11. Going back to the roots: the microbial ecology of the rhizosphere in NATURE REVIEWS MICROBIOLOGY
  • 2016-04. Characterization of Molecular and Physiological Responses Under Water Deficit of Genetically Modified Soybean Plants Overexpressing the AtAREB1 Transcription Factor in PLANT MOLECULAR BIOLOGY REPORTER
  • 2017-04. Enrichment of Cryoconite Hole Anaerobes: Implications for the Subglacial Microbiome in MICROBIAL ECOLOGY
  • 2016-06. Vitis vinifera microbiome: from basic research to technological development in BIOCONTROL
  • 2013-08. Metal tolerance and larvicidal activity of Lysinibacillus sphaericus in WORLD JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY
  • 2011-03. Crops that feed the World 2. Soybean—worldwide production, use, and constraints caused by pathogens and pests in FOOD SECURITY
  • 2014-03. Paludibacter jiangxiensis sp. nov., a strictly anaerobic, propionate-producing bacterium isolated from rice paddy field in ARCHIVES OF MICROBIOLOGY
  • 2012-10. Leaf microbiota in an agroecosystem: spatiotemporal variation in bacterial community composition on field-grown lettuce in THE ISME JOURNAL
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11274-018-2439-2

    DOI

    http://dx.doi.org/10.1007/s11274-018-2439-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1101835562

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29594576


    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/2008/0605", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Microbiology", 
            "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": "Arabidopsis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Arabidopsis Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Bacteria", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Basic-Leucine Zipper Transcription Factors", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Biodiversity", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "DNA, Bacterial", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Droughts", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Endophytes", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Fabaceae", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Microbiota", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Phylogeny", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Plant Leaves", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Plants, Genetically Modified", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "RNA, Ribosomal, 16S", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Soil Microbiology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Soybeans", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "State University of Maringa", 
              "id": "https://www.grid.ac/institutes/grid.271762.7", 
              "name": [
                "Departamento de Biotecnologia, Gen\u00e9tica e Biologia Celular (DBC), Universidade Estadual de Maring\u00e1, Maring\u00e1, Paran\u00e1, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Montanari-Coelho", 
            "givenName": "Kati\u00fascia Kelli", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "State University of Maringa", 
              "id": "https://www.grid.ac/institutes/grid.271762.7", 
              "name": [
                "Departamento de Biotecnologia, Gen\u00e9tica e Biologia Celular (DBC), Universidade Estadual de Maring\u00e1, Maring\u00e1, Paran\u00e1, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Costa", 
            "givenName": "Alessandra Ten\u00f3rio", 
            "id": "sg:person.01061222527.72", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061222527.72"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "State University of Maringa", 
              "id": "https://www.grid.ac/institutes/grid.271762.7", 
              "name": [
                "Departamento de Biotecnologia, Gen\u00e9tica e Biologia Celular (DBC), Universidade Estadual de Maring\u00e1, Maring\u00e1, Paran\u00e1, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Polonio", 
            "givenName": "Julio Cesar", 
            "id": "sg:person.01035307045.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035307045.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Sao Paulo", 
              "id": "https://www.grid.ac/institutes/grid.11899.38", 
              "name": [
                "Escola Superior de Agricultura \u201cLuiz de Queiroz\u201d, Universidade de S\u00e3o Paulo, Piracicaba, S\u00e3o Paulo, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Azevedo", 
            "givenName": "Jo\u00e3o L\u00facio", 
            "id": "sg:person.07674650540.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07674650540.40"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Brazilian Agricultural Research Corporation", 
              "id": "https://www.grid.ac/institutes/grid.460200.0", 
              "name": [
                "Empresa Brasileira de Pesquisa Agropecu\u00e1ria, Centro Nacional de Pesquisa de Soja (EMBRAPA/Soja), Londrina, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Marin", 
            "givenName": "Silvana Regina Rockenbach", 
            "id": "sg:person.011556612476.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011556612476.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Brazilian Agricultural Research Corporation", 
              "id": "https://www.grid.ac/institutes/grid.460200.0", 
              "name": [
                "Empresa Brasileira de Pesquisa Agropecu\u00e1ria, Centro Nacional de Pesquisa de Soja (EMBRAPA/Soja), Londrina, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fuganti-Pagliarini", 
            "givenName": "Renata", 
            "id": "sg:person.01321411460.11", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01321411460.11"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Japan International Research Center for Agricultural Sciences", 
              "id": "https://www.grid.ac/institutes/grid.452611.5", 
              "name": [
                "Japan International Research Center for Agricultural Sciences, Tsukuba, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fujita", 
            "givenName": "Yasunari", 
            "id": "sg:person.01076661555.55", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01076661555.55"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Japan International Research Center for Agricultural Sciences", 
              "id": "https://www.grid.ac/institutes/grid.452611.5", 
              "name": [
                "Japan International Research Center for Agricultural Sciences, Tsukuba, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yamaguchi-Shinozaki", 
            "givenName": "Kazuko", 
            "id": "sg:person.01201751012.72", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201751012.72"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Tokyo", 
              "id": "https://www.grid.ac/institutes/grid.26999.3d", 
              "name": [
                "Laboratory of Plant Molecular Physiology, Tokyo University, Tokyo, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nakashima", 
            "givenName": "Kazuo", 
            "id": "sg:person.01241646332.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01241646332.49"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "State University of Maringa", 
              "id": "https://www.grid.ac/institutes/grid.271762.7", 
              "name": [
                "Departamento de Biotecnologia, Gen\u00e9tica e Biologia Celular (DBC), Universidade Estadual de Maring\u00e1, Maring\u00e1, Paran\u00e1, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pamphile", 
            "givenName": "Jo\u00e3o Alencar", 
            "id": "sg:person.01023177303.23", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023177303.23"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Brazilian Agricultural Research Corporation", 
              "id": "https://www.grid.ac/institutes/grid.460200.0", 
              "name": [
                "Empresa Brasileira de Pesquisa Agropecu\u00e1ria, Centro Nacional de Pesquisa de Soja (EMBRAPA/Soja), Londrina, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nepomuceno", 
            "givenName": "Alexandre Lima", 
            "id": "sg:person.01363630711.28", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01363630711.28"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/b978-0-12-387661-4.00004-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000458428"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/nph.13312", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001128653"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1944-3277-10-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001998800", 
              "https://doi.org/10.1186/1944-3277-10-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11105-012-0541-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002926746", 
              "https://doi.org/10.1007/s11105-012-0541-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5772/54269", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003828719"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jenvman.2011.08.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004075648"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40168-015-0110-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004266360", 
              "https://doi.org/10.1186/s40168-015-0110-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2011.192", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004650973", 
              "https://doi.org/10.1038/ismej.2011.192"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1590/s0006-87052008000100005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005032085"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tplants.2013.12.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005516517"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/1574-6976.12035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005915774"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40793-015-0117-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005952661", 
              "https://doi.org/10.1186/s40793-015-0117-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1590/0103-9016-2014-0195", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007460305"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2009.100", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009961655", 
              "https://doi.org/10.1038/ismej.2009.100"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2009.100", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009961655", 
              "https://doi.org/10.1038/ismej.2009.100"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/agriculture5020170", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010987889"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.4086505", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011879039"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2012.32", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012183174", 
              "https://doi.org/10.1038/ismej.2012.32"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrmicro2910", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012562575", 
              "https://doi.org/10.1038/nrmicro2910"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/jb.00727-07", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012662554"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00203-013-0951-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013727856", 
              "https://doi.org/10.1007/s00203-013-0951-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1015507008786", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013734995", 
              "https://doi.org/10.1023/a:1015507008786"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1053/j.gastro.2014.03.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013999818"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1099/ijs.0.63867-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017399246"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12571-010-0108-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018505720", 
              "https://doi.org/10.1007/s12571-010-0108-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/aem.69.4.1875-1883.2003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019648638"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11274-013-1301-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020957638", 
              "https://doi.org/10.1007/s11274-013-1301-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00248-016-0886-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022977294", 
              "https://doi.org/10.1007/s00248-016-0886-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00248-016-0886-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022977294", 
              "https://doi.org/10.1007/s00248-016-0886-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrmicro3109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025083133", 
              "https://doi.org/10.1038/nrmicro3109"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.en.41.010196.002315", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026267611"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12870-015-0422-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028704998", 
              "https://doi.org/10.1186/s12870-015-0422-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12870-015-0422-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028704998", 
              "https://doi.org/10.1186/s12870-015-0422-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10526-016-9725-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028957802", 
              "https://doi.org/10.1007/s10526-016-9725-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1462-2920.2010.02258.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031907148"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1462-2920.2010.02258.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031907148"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2676", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034019934", 
              "https://doi.org/10.1038/nbt.2676"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btu494", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034239058"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/aem.01541-09", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038354310"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/1574-6968.12225", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040688540"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0905240106", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040871125"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11105-015-0928-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041273200", 
              "https://doi.org/10.1007/s11105-015-0928-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11104-007-9432-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041635280", 
              "https://doi.org/10.1007/s11104-007-9432-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11104-007-9432-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041635280", 
              "https://doi.org/10.1007/s11104-007-9432-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fmicb.2015.00486", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043423133"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev-genet-120215-034952", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043459040"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev-arplant-050312-120106", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043911873"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.anaerobe.2010.06.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045022326"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jhazmat.2010.09.072", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048578067"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0017693", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049109859"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2011.139", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051863807", 
              "https://doi.org/10.1038/ismej.2011.139"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1590/s0103-84782011000300002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052450444"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0100709", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052827522"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jxb/erv466", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059858579"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1094/mpmi-10-14-0331-fi", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060078056"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1099/00207713-52-2-501", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060350747"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1099/ijs.0.006098-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060382119"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1099/ijs.0.006098-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060382119"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1099/ijs.0.63896-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060386912"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/jb.175.2.510-518.1993", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062722083"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2135/cropsci2000.403716x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069026813"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2527/jas.2014-7621", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1070889449"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4238/2014.august.15.10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072392076"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4238/gmr15049020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072396424"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0175473", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084828898"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-04", 
        "datePublishedReg": "2018-04-01", 
        "description": "Plant leaves (phyllosphere) have a great potential for colonization and microbial growth, consisting of a dynamic environment in which several factors can interfere with the microbial population structure. The use of genetically modified (GM) plants has introduced several traits in agriculture, such as the improvement of plant drought tolerance, as observed in the AtAREB1 transcription factor overexpression in soybean (Glycine max L. Merrill). The present study aimed at investigating the taxonomic and functional profile of the leaf microbial community of bacteria found in GM (drought-tolerant event 1Ea2939) and conventional (BR 16) soybean plants. Bacterial DNA was extracted from leaf samples collected from each genotype and used for microbial diversity and richness analysis through the MiSeq Illumina platform. Functional prediction was performed using the PICRUSt tool and the STAMP v 2.1.3 software. The obtainment of the GM event 1Ea2939 showed minimum effects on the microbial community and in the potential for chemical-genetic communication, i.e. in the potential for symbiotic and/or mutualistic interaction between plants and their natural microbiota.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s11274-018-2439-2", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1096771", 
            "issn": [
              "0959-3993", 
              "1573-0972"
            ], 
            "name": "World Journal of Microbiology and Biotechnology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "34"
          }
        ], 
        "name": "Endophytic bacterial microbiome associated with leaves of genetically modified (AtAREB1) and conventional (BR 16) soybean plants", 
        "pagination": "56", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "9a038c5c3ff08d47ddfe9e2a2e37de9557599b9c72419f32fed26b194e3fd7e6"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "29594576"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "9012472"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11274-018-2439-2"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1101835562"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11274-018-2439-2", 
          "https://app.dimensions.ai/details/publication/pub.1101835562"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T13:20", 
        "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/v90/0000000368_0000000368/records_78965_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs11274-018-2439-2"
      }
    ]
     

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

    HOW TO GET THIS DATA PROGRAMMATICALLY:

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

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11274-018-2439-2'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11274-018-2439-2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11274-018-2439-2'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11274-018-2439-2'


     

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

    411 TRIPLES      21 PREDICATES      104 URIs      37 LITERALS      25 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11274-018-2439-2 schema:about N07bc41bd7016476ab090cb510d13bcf8
    2 N0969004e22844e49998216645c1549cf
    3 N2137ea6f638b41b7ae5593cbcd802b4e
    4 N3200e10afe424d1e8e28899dbb6998b5
    5 N35054d66d70c483194ea7dc7f4d0772f
    6 N3755961e942349579a86207c8a03ca6d
    7 N3f83d4124a0c4e149d3219d7cbd5196a
    8 N5924c23916494a91b6b492810411d0db
    9 N658fe86a815e407b8565354c43d851fe
    10 N68c9bc7e65334ac2afcdf5ae77b2188d
    11 Nbee0ebe2f98747baa9dfaff23cb9e6ff
    12 Nc71426f5ed004c8d814598a3d23e1054
    13 Nc7f01e031b7444e7b1ad07c21bf8f216
    14 Ncfce0964d04a40d69139da10e40bd1e8
    15 Ne5ce8d05da594f85b4ea5db87e6d176a
    16 Nfa1fb6eaa5e24d25abf530d1cf688a97
    17 anzsrc-for:06
    18 anzsrc-for:0605
    19 schema:author N405205881d8549e8bed46d2527c3bea4
    20 schema:citation sg:pub.10.1007/s00203-013-0951-1
    21 sg:pub.10.1007/s00248-016-0886-6
    22 sg:pub.10.1007/s10526-016-9725-4
    23 sg:pub.10.1007/s11104-007-9432-0
    24 sg:pub.10.1007/s11105-012-0541-4
    25 sg:pub.10.1007/s11105-015-0928-0
    26 sg:pub.10.1007/s11274-013-1301-9
    27 sg:pub.10.1007/s12571-010-0108-x
    28 sg:pub.10.1023/a:1015507008786
    29 sg:pub.10.1038/ismej.2009.100
    30 sg:pub.10.1038/ismej.2011.139
    31 sg:pub.10.1038/ismej.2011.192
    32 sg:pub.10.1038/ismej.2012.32
    33 sg:pub.10.1038/nbt.2676
    34 sg:pub.10.1038/nrmicro2910
    35 sg:pub.10.1038/nrmicro3109
    36 sg:pub.10.1186/1944-3277-10-1
    37 sg:pub.10.1186/s12870-015-0422-8
    38 sg:pub.10.1186/s40168-015-0110-9
    39 sg:pub.10.1186/s40793-015-0117-7
    40 https://doi.org/10.1016/b978-0-12-387661-4.00004-5
    41 https://doi.org/10.1016/j.anaerobe.2010.06.004
    42 https://doi.org/10.1016/j.jenvman.2011.08.014
    43 https://doi.org/10.1016/j.jhazmat.2010.09.072
    44 https://doi.org/10.1016/j.tplants.2013.12.007
    45 https://doi.org/10.1053/j.gastro.2014.03.001
    46 https://doi.org/10.1073/pnas.0905240106
    47 https://doi.org/10.1093/bioinformatics/btu494
    48 https://doi.org/10.1093/jxb/erv466
    49 https://doi.org/10.1094/mpmi-10-14-0331-fi
    50 https://doi.org/10.1099/00207713-52-2-501
    51 https://doi.org/10.1099/ijs.0.006098-0
    52 https://doi.org/10.1099/ijs.0.63867-0
    53 https://doi.org/10.1099/ijs.0.63896-0
    54 https://doi.org/10.1101/gr.4086505
    55 https://doi.org/10.1111/1574-6968.12225
    56 https://doi.org/10.1111/1574-6976.12035
    57 https://doi.org/10.1111/j.1462-2920.2010.02258.x
    58 https://doi.org/10.1111/nph.13312
    59 https://doi.org/10.1128/aem.01541-09
    60 https://doi.org/10.1128/aem.69.4.1875-1883.2003
    61 https://doi.org/10.1128/jb.00727-07
    62 https://doi.org/10.1128/jb.175.2.510-518.1993
    63 https://doi.org/10.1146/annurev-arplant-050312-120106
    64 https://doi.org/10.1146/annurev-genet-120215-034952
    65 https://doi.org/10.1146/annurev.en.41.010196.002315
    66 https://doi.org/10.1371/journal.pone.0017693
    67 https://doi.org/10.1371/journal.pone.0100709
    68 https://doi.org/10.1371/journal.pone.0175473
    69 https://doi.org/10.1590/0103-9016-2014-0195
    70 https://doi.org/10.1590/s0006-87052008000100005
    71 https://doi.org/10.1590/s0103-84782011000300002
    72 https://doi.org/10.2135/cropsci2000.403716x
    73 https://doi.org/10.2527/jas.2014-7621
    74 https://doi.org/10.3389/fmicb.2015.00486
    75 https://doi.org/10.3390/agriculture5020170
    76 https://doi.org/10.4238/2014.august.15.10
    77 https://doi.org/10.4238/gmr15049020
    78 https://doi.org/10.5772/54269
    79 schema:datePublished 2018-04
    80 schema:datePublishedReg 2018-04-01
    81 schema:description Plant leaves (phyllosphere) have a great potential for colonization and microbial growth, consisting of a dynamic environment in which several factors can interfere with the microbial population structure. The use of genetically modified (GM) plants has introduced several traits in agriculture, such as the improvement of plant drought tolerance, as observed in the AtAREB1 transcription factor overexpression in soybean (Glycine max L. Merrill). The present study aimed at investigating the taxonomic and functional profile of the leaf microbial community of bacteria found in GM (drought-tolerant event 1Ea2939) and conventional (BR 16) soybean plants. Bacterial DNA was extracted from leaf samples collected from each genotype and used for microbial diversity and richness analysis through the MiSeq Illumina platform. Functional prediction was performed using the PICRUSt tool and the STAMP v 2.1.3 software. The obtainment of the GM event 1Ea2939 showed minimum effects on the microbial community and in the potential for chemical-genetic communication, i.e. in the potential for symbiotic and/or mutualistic interaction between plants and their natural microbiota.
    82 schema:genre research_article
    83 schema:inLanguage en
    84 schema:isAccessibleForFree false
    85 schema:isPartOf N4f935c60fac74832900351f5d89a7f0f
    86 N57b75b432baa4a069af8b06a6d0b5488
    87 sg:journal.1096771
    88 schema:name Endophytic bacterial microbiome associated with leaves of genetically modified (AtAREB1) and conventional (BR 16) soybean plants
    89 schema:pagination 56
    90 schema:productId N1a3e46b48dff4d4dad21c9b2ea25765c
    91 N55aa591246854e688318dc9b80c9dd12
    92 N74148b84433140b6b2c5e0f1d8537bce
    93 N9f07124626154f949cb3bd9b9840aa0b
    94 Nb147044b9c364637ae0dd21ae7c65609
    95 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101835562
    96 https://doi.org/10.1007/s11274-018-2439-2
    97 schema:sdDatePublished 2019-04-11T13:20
    98 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    99 schema:sdPublisher N139e196f8fce42c8a2f740ebe8d332c8
    100 schema:url https://link.springer.com/10.1007%2Fs11274-018-2439-2
    101 sgo:license sg:explorer/license/
    102 sgo:sdDataset articles
    103 rdf:type schema:ScholarlyArticle
    104 N07bc41bd7016476ab090cb510d13bcf8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    105 schema:name Bacteria
    106 rdf:type schema:DefinedTerm
    107 N0969004e22844e49998216645c1549cf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    108 schema:name Microbiota
    109 rdf:type schema:DefinedTerm
    110 N139e196f8fce42c8a2f740ebe8d332c8 schema:name Springer Nature - SN SciGraph project
    111 rdf:type schema:Organization
    112 N1a3e46b48dff4d4dad21c9b2ea25765c schema:name doi
    113 schema:value 10.1007/s11274-018-2439-2
    114 rdf:type schema:PropertyValue
    115 N2137ea6f638b41b7ae5593cbcd802b4e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    116 schema:name Basic-Leucine Zipper Transcription Factors
    117 rdf:type schema:DefinedTerm
    118 N2e8859f7c632424b800db04d9e10d0bc rdf:first sg:person.01201751012.72
    119 rdf:rest N7d67e59b70a944aa90521d73a76256a2
    120 N3200e10afe424d1e8e28899dbb6998b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    121 schema:name Arabidopsis
    122 rdf:type schema:DefinedTerm
    123 N35054d66d70c483194ea7dc7f4d0772f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    124 schema:name Plants, Genetically Modified
    125 rdf:type schema:DefinedTerm
    126 N3755961e942349579a86207c8a03ca6d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    127 schema:name Droughts
    128 rdf:type schema:DefinedTerm
    129 N3f83d4124a0c4e149d3219d7cbd5196a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    130 schema:name RNA, Ribosomal, 16S
    131 rdf:type schema:DefinedTerm
    132 N405205881d8549e8bed46d2527c3bea4 rdf:first N59570e4d95a2471d919d5c950e7f0c11
    133 rdf:rest Nc914e8657380435d842e6902d77e4fe1
    134 N4f935c60fac74832900351f5d89a7f0f schema:volumeNumber 34
    135 rdf:type schema:PublicationVolume
    136 N51b3919958ec4f65bb2265251125da59 rdf:first sg:person.01035307045.39
    137 rdf:rest Ncd16dd9231e24db78cc6edb81e8bd8b8
    138 N54034a4d1dd041c391dd76ebf0dbc447 rdf:first sg:person.01321411460.11
    139 rdf:rest Na8cecc17e0d74b7a842862b5b1bfe1e6
    140 N55aa591246854e688318dc9b80c9dd12 schema:name pubmed_id
    141 schema:value 29594576
    142 rdf:type schema:PropertyValue
    143 N57b75b432baa4a069af8b06a6d0b5488 schema:issueNumber 4
    144 rdf:type schema:PublicationIssue
    145 N5924c23916494a91b6b492810411d0db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    146 schema:name Soybeans
    147 rdf:type schema:DefinedTerm
    148 N59570e4d95a2471d919d5c950e7f0c11 schema:affiliation https://www.grid.ac/institutes/grid.271762.7
    149 schema:familyName Montanari-Coelho
    150 schema:givenName Katiúscia Kelli
    151 rdf:type schema:Person
    152 N5dc6017f0f2d4a2eb7106e7869f6ffeb rdf:first sg:person.01023177303.23
    153 rdf:rest N64ba278ee09b4b1795c5b05ea990c117
    154 N64ba278ee09b4b1795c5b05ea990c117 rdf:first sg:person.01363630711.28
    155 rdf:rest rdf:nil
    156 N658fe86a815e407b8565354c43d851fe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    157 schema:name DNA, Bacterial
    158 rdf:type schema:DefinedTerm
    159 N68c9bc7e65334ac2afcdf5ae77b2188d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    160 schema:name Arabidopsis Proteins
    161 rdf:type schema:DefinedTerm
    162 N74148b84433140b6b2c5e0f1d8537bce schema:name dimensions_id
    163 schema:value pub.1101835562
    164 rdf:type schema:PropertyValue
    165 N7d67e59b70a944aa90521d73a76256a2 rdf:first sg:person.01241646332.49
    166 rdf:rest N5dc6017f0f2d4a2eb7106e7869f6ffeb
    167 N92ead663ac144ec880b6f1b52966ddd1 rdf:first sg:person.011556612476.18
    168 rdf:rest N54034a4d1dd041c391dd76ebf0dbc447
    169 N9f07124626154f949cb3bd9b9840aa0b schema:name readcube_id
    170 schema:value 9a038c5c3ff08d47ddfe9e2a2e37de9557599b9c72419f32fed26b194e3fd7e6
    171 rdf:type schema:PropertyValue
    172 Na8cecc17e0d74b7a842862b5b1bfe1e6 rdf:first sg:person.01076661555.55
    173 rdf:rest N2e8859f7c632424b800db04d9e10d0bc
    174 Nb147044b9c364637ae0dd21ae7c65609 schema:name nlm_unique_id
    175 schema:value 9012472
    176 rdf:type schema:PropertyValue
    177 Nbee0ebe2f98747baa9dfaff23cb9e6ff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    178 schema:name Phylogeny
    179 rdf:type schema:DefinedTerm
    180 Nc71426f5ed004c8d814598a3d23e1054 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    181 schema:name Fabaceae
    182 rdf:type schema:DefinedTerm
    183 Nc7f01e031b7444e7b1ad07c21bf8f216 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    184 schema:name Biodiversity
    185 rdf:type schema:DefinedTerm
    186 Nc914e8657380435d842e6902d77e4fe1 rdf:first sg:person.01061222527.72
    187 rdf:rest N51b3919958ec4f65bb2265251125da59
    188 Ncd16dd9231e24db78cc6edb81e8bd8b8 rdf:first sg:person.07674650540.40
    189 rdf:rest N92ead663ac144ec880b6f1b52966ddd1
    190 Ncfce0964d04a40d69139da10e40bd1e8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    191 schema:name Endophytes
    192 rdf:type schema:DefinedTerm
    193 Ne5ce8d05da594f85b4ea5db87e6d176a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    194 schema:name Soil Microbiology
    195 rdf:type schema:DefinedTerm
    196 Nfa1fb6eaa5e24d25abf530d1cf688a97 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    197 schema:name Plant Leaves
    198 rdf:type schema:DefinedTerm
    199 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    200 schema:name Biological Sciences
    201 rdf:type schema:DefinedTerm
    202 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
    203 schema:name Microbiology
    204 rdf:type schema:DefinedTerm
    205 sg:journal.1096771 schema:issn 0959-3993
    206 1573-0972
    207 schema:name World Journal of Microbiology and Biotechnology
    208 rdf:type schema:Periodical
    209 sg:person.01023177303.23 schema:affiliation https://www.grid.ac/institutes/grid.271762.7
    210 schema:familyName Pamphile
    211 schema:givenName João Alencar
    212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023177303.23
    213 rdf:type schema:Person
    214 sg:person.01035307045.39 schema:affiliation https://www.grid.ac/institutes/grid.271762.7
    215 schema:familyName Polonio
    216 schema:givenName Julio Cesar
    217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035307045.39
    218 rdf:type schema:Person
    219 sg:person.01061222527.72 schema:affiliation https://www.grid.ac/institutes/grid.271762.7
    220 schema:familyName Costa
    221 schema:givenName Alessandra Tenório
    222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061222527.72
    223 rdf:type schema:Person
    224 sg:person.01076661555.55 schema:affiliation https://www.grid.ac/institutes/grid.452611.5
    225 schema:familyName Fujita
    226 schema:givenName Yasunari
    227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01076661555.55
    228 rdf:type schema:Person
    229 sg:person.011556612476.18 schema:affiliation https://www.grid.ac/institutes/grid.460200.0
    230 schema:familyName Marin
    231 schema:givenName Silvana Regina Rockenbach
    232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011556612476.18
    233 rdf:type schema:Person
    234 sg:person.01201751012.72 schema:affiliation https://www.grid.ac/institutes/grid.452611.5
    235 schema:familyName Yamaguchi-Shinozaki
    236 schema:givenName Kazuko
    237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201751012.72
    238 rdf:type schema:Person
    239 sg:person.01241646332.49 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
    240 schema:familyName Nakashima
    241 schema:givenName Kazuo
    242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01241646332.49
    243 rdf:type schema:Person
    244 sg:person.01321411460.11 schema:affiliation https://www.grid.ac/institutes/grid.460200.0
    245 schema:familyName Fuganti-Pagliarini
    246 schema:givenName Renata
    247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01321411460.11
    248 rdf:type schema:Person
    249 sg:person.01363630711.28 schema:affiliation https://www.grid.ac/institutes/grid.460200.0
    250 schema:familyName Nepomuceno
    251 schema:givenName Alexandre Lima
    252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01363630711.28
    253 rdf:type schema:Person
    254 sg:person.07674650540.40 schema:affiliation https://www.grid.ac/institutes/grid.11899.38
    255 schema:familyName Azevedo
    256 schema:givenName João Lúcio
    257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07674650540.40
    258 rdf:type schema:Person
    259 sg:pub.10.1007/s00203-013-0951-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013727856
    260 https://doi.org/10.1007/s00203-013-0951-1
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1007/s00248-016-0886-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022977294
    263 https://doi.org/10.1007/s00248-016-0886-6
    264 rdf:type schema:CreativeWork
    265 sg:pub.10.1007/s10526-016-9725-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028957802
    266 https://doi.org/10.1007/s10526-016-9725-4
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1007/s11104-007-9432-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041635280
    269 https://doi.org/10.1007/s11104-007-9432-0
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1007/s11105-012-0541-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002926746
    272 https://doi.org/10.1007/s11105-012-0541-4
    273 rdf:type schema:CreativeWork
    274 sg:pub.10.1007/s11105-015-0928-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041273200
    275 https://doi.org/10.1007/s11105-015-0928-0
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1007/s11274-013-1301-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020957638
    278 https://doi.org/10.1007/s11274-013-1301-9
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1007/s12571-010-0108-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018505720
    281 https://doi.org/10.1007/s12571-010-0108-x
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1023/a:1015507008786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013734995
    284 https://doi.org/10.1023/a:1015507008786
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1038/ismej.2009.100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009961655
    287 https://doi.org/10.1038/ismej.2009.100
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.1038/ismej.2011.139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051863807
    290 https://doi.org/10.1038/ismej.2011.139
    291 rdf:type schema:CreativeWork
    292 sg:pub.10.1038/ismej.2011.192 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004650973
    293 https://doi.org/10.1038/ismej.2011.192
    294 rdf:type schema:CreativeWork
    295 sg:pub.10.1038/ismej.2012.32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012183174
    296 https://doi.org/10.1038/ismej.2012.32
    297 rdf:type schema:CreativeWork
    298 sg:pub.10.1038/nbt.2676 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034019934
    299 https://doi.org/10.1038/nbt.2676
    300 rdf:type schema:CreativeWork
    301 sg:pub.10.1038/nrmicro2910 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012562575
    302 https://doi.org/10.1038/nrmicro2910
    303 rdf:type schema:CreativeWork
    304 sg:pub.10.1038/nrmicro3109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025083133
    305 https://doi.org/10.1038/nrmicro3109
    306 rdf:type schema:CreativeWork
    307 sg:pub.10.1186/1944-3277-10-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001998800
    308 https://doi.org/10.1186/1944-3277-10-1
    309 rdf:type schema:CreativeWork
    310 sg:pub.10.1186/s12870-015-0422-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028704998
    311 https://doi.org/10.1186/s12870-015-0422-8
    312 rdf:type schema:CreativeWork
    313 sg:pub.10.1186/s40168-015-0110-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004266360
    314 https://doi.org/10.1186/s40168-015-0110-9
    315 rdf:type schema:CreativeWork
    316 sg:pub.10.1186/s40793-015-0117-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005952661
    317 https://doi.org/10.1186/s40793-015-0117-7
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1016/b978-0-12-387661-4.00004-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000458428
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1016/j.anaerobe.2010.06.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045022326
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1016/j.jenvman.2011.08.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004075648
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1016/j.jhazmat.2010.09.072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048578067
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.1016/j.tplants.2013.12.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005516517
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1053/j.gastro.2014.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013999818
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1073/pnas.0905240106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040871125
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1093/bioinformatics/btu494 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034239058
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1093/jxb/erv466 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059858579
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1094/mpmi-10-14-0331-fi schema:sameAs https://app.dimensions.ai/details/publication/pub.1060078056
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1099/00207713-52-2-501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060350747
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1099/ijs.0.006098-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060382119
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1099/ijs.0.63867-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017399246
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1099/ijs.0.63896-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060386912
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1101/gr.4086505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011879039
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1111/1574-6968.12225 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040688540
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1111/1574-6976.12035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005915774
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1111/j.1462-2920.2010.02258.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031907148
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1111/nph.13312 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001128653
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1128/aem.01541-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038354310
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.1128/aem.69.4.1875-1883.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019648638
    360 rdf:type schema:CreativeWork
    361 https://doi.org/10.1128/jb.00727-07 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012662554
    362 rdf:type schema:CreativeWork
    363 https://doi.org/10.1128/jb.175.2.510-518.1993 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062722083
    364 rdf:type schema:CreativeWork
    365 https://doi.org/10.1146/annurev-arplant-050312-120106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043911873
    366 rdf:type schema:CreativeWork
    367 https://doi.org/10.1146/annurev-genet-120215-034952 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043459040
    368 rdf:type schema:CreativeWork
    369 https://doi.org/10.1146/annurev.en.41.010196.002315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026267611
    370 rdf:type schema:CreativeWork
    371 https://doi.org/10.1371/journal.pone.0017693 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049109859
    372 rdf:type schema:CreativeWork
    373 https://doi.org/10.1371/journal.pone.0100709 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052827522
    374 rdf:type schema:CreativeWork
    375 https://doi.org/10.1371/journal.pone.0175473 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084828898
    376 rdf:type schema:CreativeWork
    377 https://doi.org/10.1590/0103-9016-2014-0195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007460305
    378 rdf:type schema:CreativeWork
    379 https://doi.org/10.1590/s0006-87052008000100005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005032085
    380 rdf:type schema:CreativeWork
    381 https://doi.org/10.1590/s0103-84782011000300002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052450444
    382 rdf:type schema:CreativeWork
    383 https://doi.org/10.2135/cropsci2000.403716x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069026813
    384 rdf:type schema:CreativeWork
    385 https://doi.org/10.2527/jas.2014-7621 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070889449
    386 rdf:type schema:CreativeWork
    387 https://doi.org/10.3389/fmicb.2015.00486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043423133
    388 rdf:type schema:CreativeWork
    389 https://doi.org/10.3390/agriculture5020170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010987889
    390 rdf:type schema:CreativeWork
    391 https://doi.org/10.4238/2014.august.15.10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072392076
    392 rdf:type schema:CreativeWork
    393 https://doi.org/10.4238/gmr15049020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072396424
    394 rdf:type schema:CreativeWork
    395 https://doi.org/10.5772/54269 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003828719
    396 rdf:type schema:CreativeWork
    397 https://www.grid.ac/institutes/grid.11899.38 schema:alternateName University of Sao Paulo
    398 schema:name Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, São Paulo, Brazil
    399 rdf:type schema:Organization
    400 https://www.grid.ac/institutes/grid.26999.3d schema:alternateName University of Tokyo
    401 schema:name Laboratory of Plant Molecular Physiology, Tokyo University, Tokyo, Japan
    402 rdf:type schema:Organization
    403 https://www.grid.ac/institutes/grid.271762.7 schema:alternateName State University of Maringa
    404 schema:name Departamento de Biotecnologia, Genética e Biologia Celular (DBC), Universidade Estadual de Maringá, Maringá, Paraná, Brazil
    405 rdf:type schema:Organization
    406 https://www.grid.ac/institutes/grid.452611.5 schema:alternateName Japan International Research Center for Agricultural Sciences
    407 schema:name Japan International Research Center for Agricultural Sciences, Tsukuba, Japan
    408 rdf:type schema:Organization
    409 https://www.grid.ac/institutes/grid.460200.0 schema:alternateName Brazilian Agricultural Research Corporation
    410 schema:name Empresa Brasileira de Pesquisa Agropecuária, Centro Nacional de Pesquisa de Soja (EMBRAPA/Soja), Londrina, Brazil
    411 rdf:type schema:Organization
     




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


    ...