Assessment of genetic and functional relationship of antagonistic fluorescent pseudomonads of rice rhizosphere by repetitive sequence, protein coding sequence and ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-12

AUTHORS

Jayakumar Pathma, Niraikulam Ayyadurai, Natarajan Sakthivel

ABSTRACT

Antagonistic fluorescent pseudomonads isolated from rice rhizospheric soil were characterized using biochemical, taxonomical and molecular tools. Production of cyclopropane fatty acid (CFA) was correlated with their antagonistic potential. Strains were grouped into 18 different genotypes on the basis of amplified ribosomal DNA restriction analysis (ARDRA) and repetitive (rep)-PCR based genotypic fingerprinting analyses. High phylogenetic resolution among antagonistic fluorescent pseudomonad strains was obtained based on the DNA gyrase B subunit (gyrB) and RNA polymerase sigma factor 70 (rpoD) gene sequence analyses. Combined gyrB and rpoD sequence analysis resulted in the accurate estimation of molecular phylogeny and provided a significant correlation between the genetic distances among strains. Present study demonstrated the genetic and functional relationship of fluorescent pseudomonads. The knowledge on genetic and functional potential of fluorescent pseudomonads associated with rice rhizosphere is useful to understand their ecological role and for their utilization in sustainable agriculture. More... »

PAGES

715-727

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12275-010-0064-3

DOI

http://dx.doi.org/10.1007/s12275-010-0064-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1045323470

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21221925


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": "Antibiosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bacterial Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bacterial Typing Techniques", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cluster Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cyclopropanes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA Fingerprinting", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA Gyrase", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA, Bacterial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA-Directed RNA Polymerases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fatty Acids", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Molecular Sequence Data", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oryza", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phylogeny", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Plant Roots", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pseudomonas", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Repetitive Sequences, Nucleic Acid", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rhizosphere", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Analysis, DNA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sigma Factor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Soil Microbiology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Pondicherry University", 
          "id": "https://www.grid.ac/institutes/grid.412517.4", 
          "name": [
            "Department of Biotechnology, Pondicherry University, 605014, Kalapet, Puducherry, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pathma", 
        "givenName": "Jayakumar", 
        "id": "sg:person.01270167742.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01270167742.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pondicherry University", 
          "id": "https://www.grid.ac/institutes/grid.412517.4", 
          "name": [
            "Department of Biotechnology, Pondicherry University, 605014, Kalapet, Puducherry, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ayyadurai", 
        "givenName": "Niraikulam", 
        "id": "sg:person.01133361263.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133361263.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pondicherry University", 
          "id": "https://www.grid.ac/institutes/grid.412517.4", 
          "name": [
            "Department of Biotechnology, Pondicherry University, 605014, Kalapet, Puducherry, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sakthivel", 
        "givenName": "Natarajan", 
        "id": "sg:person.01127252235.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127252235.02"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1128/aem.68.8.3795-3801.2002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000125626"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2672.2001.01442.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004914190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.69.2.1004-1012.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006638508"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2672.2006.02863.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006966461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2672.2006.02863.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006966461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.68.7.3328-3338.2002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009233847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bj0260292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010216854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bj0260292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010216854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1462-2920.2000.00102.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010847860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/17.12.1244", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011480981"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.69.3.1435-1441.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013137526"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00248-008-9368-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013292835", 
          "https://doi.org/10.1007/s00248-008-9368-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00248-008-9368-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013292835", 
          "https://doi.org/10.1007/s00248-008-9368-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/385111a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020587844", 
          "https://doi.org/10.1038/385111a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.1999.tb13405.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023081181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.1999.tb13405.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023081181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01731581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023239976", 
          "https://doi.org/10.1007/bf01731581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01731581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023239976", 
          "https://doi.org/10.1007/bf01731581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01731581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023239976", 
          "https://doi.org/10.1007/bf01731581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-2697(87)90612-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025451190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1462-2920.2007.01340.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026728598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0038-0717(92)90078-c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027316599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0038-0717(92)90078-c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027316599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00284-002-3857-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028504520", 
          "https://doi.org/10.1007/s00284-002-3857-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2672.2004.02435.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029525247"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1034/j.1399-3054.2003.00086.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030763401"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.1994.tb00126.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031706771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.femsec.2004.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033817274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.2005.00025.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034256019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.2005.00025.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034256019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-1605(97)00068-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038662871"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1104/pp.26.1.192", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040110934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-6-64", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044840611", 
          "https://doi.org/10.1186/1471-2105-6-64"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/w03-011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048070783"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.resmic.2005.11.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048791660"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.2003.tb01042.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050177695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.2003.tb01042.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050177695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1078/0944-5013-00086", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053659854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/agro:2000112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056943995"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/8.2.189", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059414135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1094/mpmi-5-004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060079222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/00207713-48-3-813", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060349796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/00221287-146-10-2385", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060370176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.288.5469.1186", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062569541"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.173.2.697-703.1991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062719841"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075526270", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075813113", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077157395", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077158191", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077158456", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077202407", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077526883", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a040410", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079750403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a040454", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079752303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083188046", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-12", 
    "datePublishedReg": "2010-12-01", 
    "description": "Antagonistic fluorescent pseudomonads isolated from rice rhizospheric soil were characterized using biochemical, taxonomical and molecular tools. Production of cyclopropane fatty acid (CFA) was correlated with their antagonistic potential. Strains were grouped into 18 different genotypes on the basis of amplified ribosomal DNA restriction analysis (ARDRA) and repetitive (rep)-PCR based genotypic fingerprinting analyses. High phylogenetic resolution among antagonistic fluorescent pseudomonad strains was obtained based on the DNA gyrase B subunit (gyrB) and RNA polymerase sigma factor 70 (rpoD) gene sequence analyses. Combined gyrB and rpoD sequence analysis resulted in the accurate estimation of molecular phylogeny and provided a significant correlation between the genetic distances among strains. Present study demonstrated the genetic and functional relationship of fluorescent pseudomonads. The knowledge on genetic and functional potential of fluorescent pseudomonads associated with rice rhizosphere is useful to understand their ecological role and for their utilization in sustainable agriculture.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12275-010-0064-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1116533", 
        "issn": [
          "1225-8873", 
          "1976-3794"
        ], 
        "name": "Journal of Microbiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "48"
      }
    ], 
    "name": "Assessment of genetic and functional relationship of antagonistic fluorescent pseudomonads of rice rhizosphere by repetitive sequence, protein coding sequence and functional gene analyses", 
    "pagination": "715-727", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d7e4fa19e9b265ed49308acc05e7c9ff0dfebf15dc6cb2656a23723c5ed86017"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "21221925"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9703165"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12275-010-0064-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1045323470"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12275-010-0064-3", 
      "https://app.dimensions.ai/details/publication/pub.1045323470"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:19", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8695_00000524.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs12275-010-0064-3"
  }
]
 

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/s12275-010-0064-3'

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/s12275-010-0064-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12275-010-0064-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12275-010-0064-3'


 

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

298 TRIPLES      21 PREDICATES      95 URIs      41 LITERALS      29 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12275-010-0064-3 schema:about N02636cf927704becb26ee18f13575a02
2 N03ff59cf69df478487c5aca0f8263010
3 N0624110c460548deb930bce143c96c37
4 N09dfa7087e3747f0b2ead8f8e25944cf
5 N103df403bacb49a3b2bcf5188550d5f2
6 N16b71bd1c3164ff2b615ee7a842822cf
7 N1e6a2a6fe8e4469aa4879daf07173b86
8 N35e3c92bc284441eb0b5fd05ba1c7479
9 N39000a4bf76a4133b241479416dfd18b
10 N4700cf24c6084ba2932c008ac5ce5980
11 N5df1cd70be244bfaa26c2778aeda4ac3
12 N63884a4e6c2b41168f22b47cd65a301c
13 N79d4025cf4604c85a04d2c018d92a827
14 N7c4791843ccc442893204de3fb46c3c3
15 N807b70aa5acc4c9ca66118c9291abcc9
16 N8d808017424844ac9283385eb2fa05db
17 N936376f05e944cb7a2990c85f6389b91
18 Naf888ff186244d9aa3f7af9bfb78e7f8
19 Nbb7abefe93e24aca864a836b641ea284
20 Ncf141098704549db85671c230722eee8
21 anzsrc-for:06
22 anzsrc-for:0604
23 schema:author Nc998424064f8494795244a2511d92d1e
24 schema:citation sg:pub.10.1007/bf01731581
25 sg:pub.10.1007/s00248-008-9368-9
26 sg:pub.10.1007/s00284-002-3857-8
27 sg:pub.10.1038/385111a0
28 sg:pub.10.1186/1471-2105-6-64
29 https://app.dimensions.ai/details/publication/pub.1075526270
30 https://app.dimensions.ai/details/publication/pub.1075813113
31 https://app.dimensions.ai/details/publication/pub.1077157395
32 https://app.dimensions.ai/details/publication/pub.1077158191
33 https://app.dimensions.ai/details/publication/pub.1077158456
34 https://app.dimensions.ai/details/publication/pub.1077202407
35 https://app.dimensions.ai/details/publication/pub.1077526883
36 https://app.dimensions.ai/details/publication/pub.1083188046
37 https://doi.org/10.1016/0003-2697(87)90612-9
38 https://doi.org/10.1016/0038-0717(92)90078-c
39 https://doi.org/10.1016/j.femsec.2004.08.006
40 https://doi.org/10.1016/j.resmic.2005.11.009
41 https://doi.org/10.1016/s0168-1605(97)00068-8
42 https://doi.org/10.1034/j.1399-3054.2003.00086.x
43 https://doi.org/10.1042/bj0260292
44 https://doi.org/10.1046/j.1365-2672.2001.01442.x
45 https://doi.org/10.1046/j.1462-2920.2000.00102.x
46 https://doi.org/10.1051/agro:2000112
47 https://doi.org/10.1078/0944-5013-00086
48 https://doi.org/10.1093/bioinformatics/17.12.1244
49 https://doi.org/10.1093/bioinformatics/8.2.189
50 https://doi.org/10.1093/oxfordjournals.molbev.a040410
51 https://doi.org/10.1093/oxfordjournals.molbev.a040454
52 https://doi.org/10.1094/mpmi-5-004
53 https://doi.org/10.1099/00207713-48-3-813
54 https://doi.org/10.1099/00221287-146-10-2385
55 https://doi.org/10.1104/pp.26.1.192
56 https://doi.org/10.1111/j.1365-2672.2004.02435.x
57 https://doi.org/10.1111/j.1365-2672.2006.02863.x
58 https://doi.org/10.1111/j.1365-294x.1994.tb00126.x
59 https://doi.org/10.1111/j.1462-2920.2007.01340.x
60 https://doi.org/10.1111/j.1574-6941.2003.tb01042.x
61 https://doi.org/10.1111/j.1574-6941.2005.00025.x
62 https://doi.org/10.1111/j.1574-6968.1999.tb13405.x
63 https://doi.org/10.1126/science.288.5469.1186
64 https://doi.org/10.1128/aem.68.7.3328-3338.2002
65 https://doi.org/10.1128/aem.68.8.3795-3801.2002
66 https://doi.org/10.1128/aem.69.2.1004-1012.2003
67 https://doi.org/10.1128/aem.69.3.1435-1441.2003
68 https://doi.org/10.1128/jb.173.2.697-703.1991
69 https://doi.org/10.1139/w03-011
70 schema:datePublished 2010-12
71 schema:datePublishedReg 2010-12-01
72 schema:description Antagonistic fluorescent pseudomonads isolated from rice rhizospheric soil were characterized using biochemical, taxonomical and molecular tools. Production of cyclopropane fatty acid (CFA) was correlated with their antagonistic potential. Strains were grouped into 18 different genotypes on the basis of amplified ribosomal DNA restriction analysis (ARDRA) and repetitive (rep)-PCR based genotypic fingerprinting analyses. High phylogenetic resolution among antagonistic fluorescent pseudomonad strains was obtained based on the DNA gyrase B subunit (gyrB) and RNA polymerase sigma factor 70 (rpoD) gene sequence analyses. Combined gyrB and rpoD sequence analysis resulted in the accurate estimation of molecular phylogeny and provided a significant correlation between the genetic distances among strains. Present study demonstrated the genetic and functional relationship of fluorescent pseudomonads. The knowledge on genetic and functional potential of fluorescent pseudomonads associated with rice rhizosphere is useful to understand their ecological role and for their utilization in sustainable agriculture.
73 schema:genre research_article
74 schema:inLanguage en
75 schema:isAccessibleForFree false
76 schema:isPartOf N3f4d1d3dc761439db7f0604ff251c669
77 N679ba1a5d92346bfb92f7640f8aa5ce4
78 sg:journal.1116533
79 schema:name Assessment of genetic and functional relationship of antagonistic fluorescent pseudomonads of rice rhizosphere by repetitive sequence, protein coding sequence and functional gene analyses
80 schema:pagination 715-727
81 schema:productId N097bb2767aab49ac958636671c52437b
82 N1d2860d401f64d4d8727c0a111f95bf9
83 N457025fdeb2f44e4a2dee4b6a348c6a8
84 N92bc71ebb0774eaba8383d23544bd59d
85 Nb10baeb312304b64b353e97c5f5af430
86 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045323470
87 https://doi.org/10.1007/s12275-010-0064-3
88 schema:sdDatePublished 2019-04-11T00:19
89 schema:sdLicense https://scigraph.springernature.com/explorer/license/
90 schema:sdPublisher N41ce3a557d52468c8d47194fd799a19f
91 schema:url http://link.springer.com/10.1007%2Fs12275-010-0064-3
92 sgo:license sg:explorer/license/
93 sgo:sdDataset articles
94 rdf:type schema:ScholarlyArticle
95 N02636cf927704becb26ee18f13575a02 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Cyclopropanes
97 rdf:type schema:DefinedTerm
98 N03ff59cf69df478487c5aca0f8263010 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Cluster Analysis
100 rdf:type schema:DefinedTerm
101 N0624110c460548deb930bce143c96c37 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name DNA Fingerprinting
103 rdf:type schema:DefinedTerm
104 N097bb2767aab49ac958636671c52437b schema:name pubmed_id
105 schema:value 21221925
106 rdf:type schema:PropertyValue
107 N09dfa7087e3747f0b2ead8f8e25944cf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Sigma Factor
109 rdf:type schema:DefinedTerm
110 N103df403bacb49a3b2bcf5188550d5f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Pseudomonas
112 rdf:type schema:DefinedTerm
113 N16b71bd1c3164ff2b615ee7a842822cf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Soil Microbiology
115 rdf:type schema:DefinedTerm
116 N1d2860d401f64d4d8727c0a111f95bf9 schema:name dimensions_id
117 schema:value pub.1045323470
118 rdf:type schema:PropertyValue
119 N1e6a2a6fe8e4469aa4879daf07173b86 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Bacterial Proteins
121 rdf:type schema:DefinedTerm
122 N35e3c92bc284441eb0b5fd05ba1c7479 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Oryza
124 rdf:type schema:DefinedTerm
125 N39000a4bf76a4133b241479416dfd18b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Antibiosis
127 rdf:type schema:DefinedTerm
128 N3f4d1d3dc761439db7f0604ff251c669 schema:volumeNumber 48
129 rdf:type schema:PublicationVolume
130 N41ce3a557d52468c8d47194fd799a19f schema:name Springer Nature - SN SciGraph project
131 rdf:type schema:Organization
132 N457025fdeb2f44e4a2dee4b6a348c6a8 schema:name nlm_unique_id
133 schema:value 9703165
134 rdf:type schema:PropertyValue
135 N4700cf24c6084ba2932c008ac5ce5980 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Molecular Sequence Data
137 rdf:type schema:DefinedTerm
138 N5b68221de9a1415fb5c45d921f706f2c rdf:first sg:person.01133361263.79
139 rdf:rest Na413204b42094a1d8481949f2c32beb5
140 N5df1cd70be244bfaa26c2778aeda4ac3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Sequence Analysis, DNA
142 rdf:type schema:DefinedTerm
143 N63884a4e6c2b41168f22b47cd65a301c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name DNA, Bacterial
145 rdf:type schema:DefinedTerm
146 N679ba1a5d92346bfb92f7640f8aa5ce4 schema:issueNumber 6
147 rdf:type schema:PublicationIssue
148 N79d4025cf4604c85a04d2c018d92a827 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Plant Roots
150 rdf:type schema:DefinedTerm
151 N7c4791843ccc442893204de3fb46c3c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Rhizosphere
153 rdf:type schema:DefinedTerm
154 N807b70aa5acc4c9ca66118c9291abcc9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Fatty Acids
156 rdf:type schema:DefinedTerm
157 N8d808017424844ac9283385eb2fa05db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Phylogeny
159 rdf:type schema:DefinedTerm
160 N92bc71ebb0774eaba8383d23544bd59d schema:name readcube_id
161 schema:value d7e4fa19e9b265ed49308acc05e7c9ff0dfebf15dc6cb2656a23723c5ed86017
162 rdf:type schema:PropertyValue
163 N936376f05e944cb7a2990c85f6389b91 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Bacterial Typing Techniques
165 rdf:type schema:DefinedTerm
166 Na413204b42094a1d8481949f2c32beb5 rdf:first sg:person.01127252235.02
167 rdf:rest rdf:nil
168 Naf888ff186244d9aa3f7af9bfb78e7f8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name DNA Gyrase
170 rdf:type schema:DefinedTerm
171 Nb10baeb312304b64b353e97c5f5af430 schema:name doi
172 schema:value 10.1007/s12275-010-0064-3
173 rdf:type schema:PropertyValue
174 Nbb7abefe93e24aca864a836b641ea284 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name DNA-Directed RNA Polymerases
176 rdf:type schema:DefinedTerm
177 Nc998424064f8494795244a2511d92d1e rdf:first sg:person.01270167742.32
178 rdf:rest N5b68221de9a1415fb5c45d921f706f2c
179 Ncf141098704549db85671c230722eee8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
180 schema:name Repetitive Sequences, Nucleic Acid
181 rdf:type schema:DefinedTerm
182 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
183 schema:name Biological Sciences
184 rdf:type schema:DefinedTerm
185 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
186 schema:name Genetics
187 rdf:type schema:DefinedTerm
188 sg:journal.1116533 schema:issn 1225-8873
189 1976-3794
190 schema:name Journal of Microbiology
191 rdf:type schema:Periodical
192 sg:person.01127252235.02 schema:affiliation https://www.grid.ac/institutes/grid.412517.4
193 schema:familyName Sakthivel
194 schema:givenName Natarajan
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127252235.02
196 rdf:type schema:Person
197 sg:person.01133361263.79 schema:affiliation https://www.grid.ac/institutes/grid.412517.4
198 schema:familyName Ayyadurai
199 schema:givenName Niraikulam
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133361263.79
201 rdf:type schema:Person
202 sg:person.01270167742.32 schema:affiliation https://www.grid.ac/institutes/grid.412517.4
203 schema:familyName Pathma
204 schema:givenName Jayakumar
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01270167742.32
206 rdf:type schema:Person
207 sg:pub.10.1007/bf01731581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023239976
208 https://doi.org/10.1007/bf01731581
209 rdf:type schema:CreativeWork
210 sg:pub.10.1007/s00248-008-9368-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013292835
211 https://doi.org/10.1007/s00248-008-9368-9
212 rdf:type schema:CreativeWork
213 sg:pub.10.1007/s00284-002-3857-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028504520
214 https://doi.org/10.1007/s00284-002-3857-8
215 rdf:type schema:CreativeWork
216 sg:pub.10.1038/385111a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020587844
217 https://doi.org/10.1038/385111a0
218 rdf:type schema:CreativeWork
219 sg:pub.10.1186/1471-2105-6-64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044840611
220 https://doi.org/10.1186/1471-2105-6-64
221 rdf:type schema:CreativeWork
222 https://app.dimensions.ai/details/publication/pub.1075526270 schema:CreativeWork
223 https://app.dimensions.ai/details/publication/pub.1075813113 schema:CreativeWork
224 https://app.dimensions.ai/details/publication/pub.1077157395 schema:CreativeWork
225 https://app.dimensions.ai/details/publication/pub.1077158191 schema:CreativeWork
226 https://app.dimensions.ai/details/publication/pub.1077158456 schema:CreativeWork
227 https://app.dimensions.ai/details/publication/pub.1077202407 schema:CreativeWork
228 https://app.dimensions.ai/details/publication/pub.1077526883 schema:CreativeWork
229 https://app.dimensions.ai/details/publication/pub.1083188046 schema:CreativeWork
230 https://doi.org/10.1016/0003-2697(87)90612-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025451190
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/0038-0717(92)90078-c schema:sameAs https://app.dimensions.ai/details/publication/pub.1027316599
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/j.femsec.2004.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033817274
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1016/j.resmic.2005.11.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048791660
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1016/s0168-1605(97)00068-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038662871
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1034/j.1399-3054.2003.00086.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030763401
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1042/bj0260292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010216854
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1046/j.1365-2672.2001.01442.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004914190
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1046/j.1462-2920.2000.00102.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010847860
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1051/agro:2000112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056943995
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1078/0944-5013-00086 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053659854
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1093/bioinformatics/17.12.1244 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011480981
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1093/bioinformatics/8.2.189 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059414135
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1093/oxfordjournals.molbev.a040410 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079750403
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1093/oxfordjournals.molbev.a040454 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079752303
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1094/mpmi-5-004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060079222
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1099/00207713-48-3-813 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060349796
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1099/00221287-146-10-2385 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060370176
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1104/pp.26.1.192 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040110934
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1111/j.1365-2672.2004.02435.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029525247
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1111/j.1365-2672.2006.02863.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006966461
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1111/j.1365-294x.1994.tb00126.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031706771
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1111/j.1462-2920.2007.01340.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1026728598
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1111/j.1574-6941.2003.tb01042.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050177695
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1111/j.1574-6941.2005.00025.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034256019
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1111/j.1574-6968.1999.tb13405.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023081181
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1126/science.288.5469.1186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062569541
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1128/aem.68.7.3328-3338.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009233847
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1128/aem.68.8.3795-3801.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000125626
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1128/aem.69.2.1004-1012.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006638508
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1128/aem.69.3.1435-1441.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013137526
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1128/jb.173.2.697-703.1991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062719841
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1139/w03-011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048070783
295 rdf:type schema:CreativeWork
296 https://www.grid.ac/institutes/grid.412517.4 schema:alternateName Pondicherry University
297 schema:name Department of Biotechnology, Pondicherry University, 605014, Kalapet, Puducherry, India
298 rdf:type schema:Organization
 




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


...