Genotypic diversity of Acanthamoeba strains isolated from Chilean patients with Acanthamoeba keratitis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

María Isabel Jercic, Carolina Aguayo, Mónica Saldarriaga-Córdoba, Laura Muiño, Stella Maris Chenet, Jaime Lagos, Antonio Osuna, Jorge Fernández

ABSTRACT

BACKGROUND: Acanthamoeba spp. are the causative agents of a severe keratitis occurring mainly in contact lens wearers. The genus comprises more than 24 species that are currently divided into 20 different genotypes (T1-T20) according to sequence variations in the 18S rRNA gene. The objective of this study was to identify the genotypes and sub-genotypes of Acanthamoeba isolates collected at the Parasitology Laboratory of the Public Health Institute of Chile, the only laboratory in the country where Acanthamoeba screening is performed. This is the first report of genotypic identification of clinical isolates of Acanthamoeba in Chile and one of the few in South America. RESULTS: In this study, 114 Acanthamoeba isolates from 76 Acanthamoeba keratitis patients, obtained between 2005-2016, were genotyped. T4 was the predominant genotype; T2 and T11 genotypes, which are scarcely reported worldwide, were also identified in Chilean patients (one and two patients, respectively). This is the first report of T2 and T11 genotypes isolated from Acanthamoeba keratitis patients in South America. It is also the first report of the T2 genotype circulating in this continent. Analysis of the diagnostic fragment 3 region of the 18S rRNA gene showed 24 T4 variants, with a predominance of the sub-genotype T4/A, followed by T4/B, T4/G, T4/C and T4/D. Bayesian analysis revealed three groups among the T4 variants: two well supported groups that included 12 and 7 sub-genotypes, respectively, and a weakly supported group that included 5 sub-genotypes. Most of the predominant T4 sub-genotypes belonged to the same group, which included 71.3% of the patients, while some minority variants lied mainly in the other two clusters. CONCLUSIONS: T2, T4 and T11 genotypes were predominantly isolated from the Acanthamoeba keratitis patients in Chile. Chilean predominant T4 sub-genotypes, which have also been reported worldwide, formed a separate cluster of the minority T4 variants. This study provides useful information about the predominant genotypes and subgenotypes that would be useful in selecting suitable strains to develop immunological and/or molecular diagnostic assays in Chile. More... »

PAGES

58

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13071-019-3302-5

DOI

http://dx.doi.org/10.1186/s13071-019-3302-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111656112

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30683157


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/2008/1108", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical Microbiology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Granada", 
          "id": "https://www.grid.ac/institutes/grid.4489.1", 
          "name": [
            "Secci\u00f3n Parasitolog\u00eda, Instituto de Salud P\u00fablica de Chile, Av. Marathon 1000, \u00d1u\u00f1oa, CP 7780050, Santiago, Chile", 
            "Departamento de Parasitolog\u00eda, Instituto de Biotecnolog\u00eda, Grupo de Bioqu\u00edmica y Parasitolog\u00eda Molecular, Universidad de Granada, Campus Universitario Fuentenueva, 18071, Granada, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jercic", 
        "givenName": "Mar\u00eda Isabel", 
        "id": "sg:person.01042672462.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042672462.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ministry of Health", 
          "id": "https://www.grid.ac/institutes/grid.415779.9", 
          "name": [
            "Subdepartamento de Gen\u00e9tica Molecular, Instituto de Salud P\u00fablica de Chile, Av. Marathon 1000, \u00d1u\u00f1oa, CP 7780050, Santiago, Chile"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aguayo", 
        "givenName": "Carolina", 
        "id": "sg:person.0717237412.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717237412.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidad Bernardo O'Higgins", 
          "id": "https://www.grid.ac/institutes/grid.440625.1", 
          "name": [
            "Secci\u00f3n Parasitolog\u00eda, Instituto de Salud P\u00fablica de Chile, Av. Marathon 1000, \u00d1u\u00f1oa, CP 7780050, Santiago, Chile", 
            "Centro de Investigaci\u00f3n en Recursos Naturales y Sustentabilidad, Universidad Bernardo O\u2019Higgins, Av. Viel 1497, CP 8370993, Santiago, Chile"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saldarriaga-C\u00f3rdoba", 
        "givenName": "M\u00f3nica", 
        "id": "sg:person.01216523035.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216523035.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidad Aut\u00f3noma de Chile", 
          "id": "https://www.grid.ac/institutes/grid.441837.d", 
          "name": [
            "Facultad de Ciencias de la Salud, Instituto de Ciencias Biom\u00e9dicas, Universidad Aut\u00f3noma de Chile, El Llano Subercaseaux 2801, San Miguel, CP 8910060, Santiago, Chile"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mui\u00f1o", 
        "givenName": "Laura", 
        "id": "sg:person.01070316120.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070316120.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of the Andes", 
          "id": "https://www.grid.ac/institutes/grid.440627.3", 
          "name": [
            "Secci\u00f3n Parasitolog\u00eda, Instituto de Salud P\u00fablica de Chile, Av. Marathon 1000, \u00d1u\u00f1oa, CP 7780050, Santiago, Chile", 
            "Facultad de Medicina, Universidad de los Andes, Monse\u00f1or \u00c1lvaro del Portillo 12455, CP 7550000, Las Condes, Chile"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chenet", 
        "givenName": "Stella Maris", 
        "id": "sg:person.0605551125.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605551125.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ministry of Health", 
          "id": "https://www.grid.ac/institutes/grid.415779.9", 
          "name": [
            "Subdepartamento de Gen\u00e9tica Molecular, Instituto de Salud P\u00fablica de Chile, Av. Marathon 1000, \u00d1u\u00f1oa, CP 7780050, Santiago, Chile"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lagos", 
        "givenName": "Jaime", 
        "id": "sg:person.01065774577.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065774577.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Granada", 
          "id": "https://www.grid.ac/institutes/grid.4489.1", 
          "name": [
            "Departamento de Parasitolog\u00eda, Instituto de Biotecnolog\u00eda, Grupo de Bioqu\u00edmica y Parasitolog\u00eda Molecular, Universidad de Granada, Campus Universitario Fuentenueva, 18071, Granada, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Osuna", 
        "givenName": "Antonio", 
        "id": "sg:person.01145524427.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145524427.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ministry of Health", 
          "id": "https://www.grid.ac/institutes/grid.415779.9", 
          "name": [
            "Subdepartamento de Gen\u00e9tica Molecular, Instituto de Salud P\u00fablica de Chile, Av. Marathon 1000, \u00d1u\u00f1oa, CP 7780050, Santiago, Chile"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fern\u00e1ndez", 
        "givenName": "Jorge", 
        "id": "sg:person.01046644173.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046644173.56"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00436-013-3572-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005416549", 
          "https://doi.org/10.1007/s00436-013-3572-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.00031-14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007619604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00284-001-0108-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010831976", 
          "https://doi.org/10.1007/s00284-001-0108-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.40.5.1621-1625.2002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012135649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msw054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012564990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1550-7408.1998.tb05068.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013374247"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/parasite/2015010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015312955"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajo.2009.06.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017710225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(74)90285-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018230182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/jeu.12149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019459923"
        ], 
        "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/10.1515/ap-2016-0031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027172062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/ap-2016-0110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028206693"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00436-016-5072-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028567599", 
          "https://doi.org/10.1007/s00436-016-5072-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0471250953.bi0301s42", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034508260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btg180", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036252078"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1550-7408.1996.tb04510.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039811899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/jeu.12186", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040942181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.39.5.1903-1911.2001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041643883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/wics.199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041921930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1550-7408.2011.00584.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042796215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1167/iovs.03-1073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044356713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/ap-2016-0063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046443706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bjo.2007.132266", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047265072"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.02365-08", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049431349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ico.0000000000000804", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051507520"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ico.0000000000000804", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051507520"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/jmm.0.45970-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060392846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00436-017-5406-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083765706", 
          "https://doi.org/10.1007/s00436-017-5406-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00436-017-5406-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083765706", 
          "https://doi.org/10.1007/s00436-017-5406-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.meegid.2017.06.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090323964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00436-018-5824-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101502592", 
          "https://doi.org/10.1007/s00436-018-5824-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00436-018-5824-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101502592", 
          "https://doi.org/10.1007/s00436-018-5824-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00436-018-5824-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101502592", 
          "https://doi.org/10.1007/s00436-018-5824-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00436-018-5824-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101502592", 
          "https://doi.org/10.1007/s00436-018-5824-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/sysbio/syy032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103643861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10792-018-0958-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104898293", 
          "https://doi.org/10.1007/s10792-018-0958-3"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: Acanthamoeba spp. are the causative agents of a severe keratitis occurring mainly in contact lens wearers. The genus comprises more than 24 species that are currently divided into 20 different genotypes (T1-T20) according to sequence variations in the 18S rRNA gene. The objective of this study was to identify the genotypes and sub-genotypes of Acanthamoeba isolates collected at the Parasitology Laboratory of the Public Health Institute of Chile, the only laboratory in the country where Acanthamoeba screening is performed. This is the first report of genotypic identification of clinical isolates of Acanthamoeba in Chile and one of the few in South America.\nRESULTS: In this study, 114 Acanthamoeba isolates from 76 Acanthamoeba keratitis patients, obtained between 2005-2016, were genotyped. T4 was the predominant genotype; T2 and T11 genotypes, which are scarcely reported worldwide, were also identified in Chilean patients (one and two patients, respectively). This is the first report of T2 and T11 genotypes isolated from Acanthamoeba keratitis patients in South America. It is also the first report of the T2 genotype circulating in this continent. Analysis of the diagnostic fragment 3 region of the 18S rRNA gene showed 24 T4 variants, with a predominance of the sub-genotype T4/A, followed by T4/B, T4/G, T4/C and T4/D. Bayesian analysis revealed three groups among the T4 variants: two well supported groups that included 12 and 7 sub-genotypes, respectively, and a weakly supported group that included 5 sub-genotypes. Most of the predominant T4 sub-genotypes belonged to the same group, which included 71.3% of the patients, while some minority variants lied mainly in the other two clusters.\nCONCLUSIONS: T2, T4 and T11 genotypes were predominantly isolated from the Acanthamoeba keratitis patients in Chile. Chilean predominant T4 sub-genotypes, which have also been reported worldwide, formed a separate cluster of the minority T4 variants. This study provides useful information about the predominant genotypes and subgenotypes that would be useful in selecting suitable strains to develop immunological and/or molecular diagnostic assays in Chile.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13071-019-3302-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1039458", 
        "issn": [
          "1756-3305"
        ], 
        "name": "Filaria Journal", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "name": "Genotypic diversity of Acanthamoeba strains isolated from Chilean patients with Acanthamoeba keratitis", 
    "pagination": "58", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2f74b37f7ccffc0c26017b852b46f996e634a01d47a9448217f7f820fd18c408"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30683157"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101462774"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13071-019-3302-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111656112"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13071-019-3302-5", 
      "https://app.dimensions.ai/details/publication/pub.1111656112"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:58", 
    "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/v90/0000000326_0000000326/records_68454_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13071-019-3302-5"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13071-019-3302-5'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13071-019-3302-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13071-019-3302-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13071-019-3302-5'


 

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

235 TRIPLES      21 PREDICATES      61 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13071-019-3302-5 schema:about anzsrc-for:11
2 anzsrc-for:1108
3 schema:author Nb2591d47d3f142f68040bcb2043a8673
4 schema:citation sg:pub.10.1007/bf01731581
5 sg:pub.10.1007/s00284-001-0108-3
6 sg:pub.10.1007/s00436-013-3572-3
7 sg:pub.10.1007/s00436-016-5072-8
8 sg:pub.10.1007/s00436-017-5406-1
9 sg:pub.10.1007/s00436-018-5824-8
10 sg:pub.10.1007/s10792-018-0958-3
11 https://doi.org/10.1002/0471250953.bi0301s42
12 https://doi.org/10.1002/wics.199
13 https://doi.org/10.1016/j.ajo.2009.06.009
14 https://doi.org/10.1016/j.meegid.2017.06.031
15 https://doi.org/10.1016/s0140-6736(74)90285-2
16 https://doi.org/10.1051/parasite/2015010
17 https://doi.org/10.1093/bioinformatics/btg180
18 https://doi.org/10.1093/molbev/msw054
19 https://doi.org/10.1093/sysbio/syy032
20 https://doi.org/10.1097/ico.0000000000000804
21 https://doi.org/10.1099/jmm.0.45970-0
22 https://doi.org/10.1111/j.1550-7408.1996.tb04510.x
23 https://doi.org/10.1111/j.1550-7408.1998.tb05068.x
24 https://doi.org/10.1111/j.1550-7408.2011.00584.x
25 https://doi.org/10.1111/jeu.12149
26 https://doi.org/10.1111/jeu.12186
27 https://doi.org/10.1128/jcm.00031-14
28 https://doi.org/10.1128/jcm.02365-08
29 https://doi.org/10.1128/jcm.39.5.1903-1911.2001
30 https://doi.org/10.1128/jcm.40.5.1621-1625.2002
31 https://doi.org/10.1136/bjo.2007.132266
32 https://doi.org/10.1167/iovs.03-1073
33 https://doi.org/10.1515/ap-2016-0031
34 https://doi.org/10.1515/ap-2016-0063
35 https://doi.org/10.1515/ap-2016-0110
36 schema:datePublished 2019-12
37 schema:datePublishedReg 2019-12-01
38 schema:description BACKGROUND: Acanthamoeba spp. are the causative agents of a severe keratitis occurring mainly in contact lens wearers. The genus comprises more than 24 species that are currently divided into 20 different genotypes (T1-T20) according to sequence variations in the 18S rRNA gene. The objective of this study was to identify the genotypes and sub-genotypes of Acanthamoeba isolates collected at the Parasitology Laboratory of the Public Health Institute of Chile, the only laboratory in the country where Acanthamoeba screening is performed. This is the first report of genotypic identification of clinical isolates of Acanthamoeba in Chile and one of the few in South America. RESULTS: In this study, 114 Acanthamoeba isolates from 76 Acanthamoeba keratitis patients, obtained between 2005-2016, were genotyped. T4 was the predominant genotype; T2 and T11 genotypes, which are scarcely reported worldwide, were also identified in Chilean patients (one and two patients, respectively). This is the first report of T2 and T11 genotypes isolated from Acanthamoeba keratitis patients in South America. It is also the first report of the T2 genotype circulating in this continent. Analysis of the diagnostic fragment 3 region of the 18S rRNA gene showed 24 T4 variants, with a predominance of the sub-genotype T4/A, followed by T4/B, T4/G, T4/C and T4/D. Bayesian analysis revealed three groups among the T4 variants: two well supported groups that included 12 and 7 sub-genotypes, respectively, and a weakly supported group that included 5 sub-genotypes. Most of the predominant T4 sub-genotypes belonged to the same group, which included 71.3% of the patients, while some minority variants lied mainly in the other two clusters. CONCLUSIONS: T2, T4 and T11 genotypes were predominantly isolated from the Acanthamoeba keratitis patients in Chile. Chilean predominant T4 sub-genotypes, which have also been reported worldwide, formed a separate cluster of the minority T4 variants. This study provides useful information about the predominant genotypes and subgenotypes that would be useful in selecting suitable strains to develop immunological and/or molecular diagnostic assays in Chile.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree true
42 schema:isPartOf N15f9871c77814c05bb871081b67bbfce
43 N85b8cb793fdc46db8c392ed0a4b42281
44 sg:journal.1039458
45 schema:name Genotypic diversity of Acanthamoeba strains isolated from Chilean patients with Acanthamoeba keratitis
46 schema:pagination 58
47 schema:productId N0c605471fc3a4d5d97e02d298c5bb6ba
48 N2be781ef08cd4c25a1902ccfe81b8ec0
49 N2c93ee70031b4f0394f2c80033fca05b
50 N92ff097767634555b1118a3f9fd91a60
51 Na40434cea99146df804c624a45c5afc3
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111656112
53 https://doi.org/10.1186/s13071-019-3302-5
54 schema:sdDatePublished 2019-04-11T08:58
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher Nfcf7ca6193754f85ace5b1f7b48c1eba
57 schema:url https://link.springer.com/10.1186%2Fs13071-019-3302-5
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N0c605471fc3a4d5d97e02d298c5bb6ba schema:name readcube_id
62 schema:value 2f74b37f7ccffc0c26017b852b46f996e634a01d47a9448217f7f820fd18c408
63 rdf:type schema:PropertyValue
64 N15f9871c77814c05bb871081b67bbfce schema:issueNumber 1
65 rdf:type schema:PublicationIssue
66 N2be781ef08cd4c25a1902ccfe81b8ec0 schema:name nlm_unique_id
67 schema:value 101462774
68 rdf:type schema:PropertyValue
69 N2c93ee70031b4f0394f2c80033fca05b schema:name dimensions_id
70 schema:value pub.1111656112
71 rdf:type schema:PropertyValue
72 N5715d8c01fe64816b3c9ff35d16e258c rdf:first sg:person.01046644173.56
73 rdf:rest rdf:nil
74 N67e2cf5c1cfe4a4f8e40ccc9dbe0f8dd rdf:first sg:person.01065774577.74
75 rdf:rest Nbe35bab729dc420fbcef707236a225be
76 N85b8cb793fdc46db8c392ed0a4b42281 schema:volumeNumber 12
77 rdf:type schema:PublicationVolume
78 N8b33ee2f827249af8590325918d019d1 rdf:first sg:person.01216523035.07
79 rdf:rest Nbafbd4495cdb4626ae573785aaef958e
80 N92ff097767634555b1118a3f9fd91a60 schema:name pubmed_id
81 schema:value 30683157
82 rdf:type schema:PropertyValue
83 Na40434cea99146df804c624a45c5afc3 schema:name doi
84 schema:value 10.1186/s13071-019-3302-5
85 rdf:type schema:PropertyValue
86 Nb2591d47d3f142f68040bcb2043a8673 rdf:first sg:person.01042672462.44
87 rdf:rest Nfe3052c124014c69a7fe2561a9786e91
88 Nbafbd4495cdb4626ae573785aaef958e rdf:first sg:person.01070316120.91
89 rdf:rest Nd300bea8eafd4589be996ce9a23c2ffe
90 Nbe35bab729dc420fbcef707236a225be rdf:first sg:person.01145524427.00
91 rdf:rest N5715d8c01fe64816b3c9ff35d16e258c
92 Nd300bea8eafd4589be996ce9a23c2ffe rdf:first sg:person.0605551125.61
93 rdf:rest N67e2cf5c1cfe4a4f8e40ccc9dbe0f8dd
94 Nfcf7ca6193754f85ace5b1f7b48c1eba schema:name Springer Nature - SN SciGraph project
95 rdf:type schema:Organization
96 Nfe3052c124014c69a7fe2561a9786e91 rdf:first sg:person.0717237412.16
97 rdf:rest N8b33ee2f827249af8590325918d019d1
98 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
99 schema:name Medical and Health Sciences
100 rdf:type schema:DefinedTerm
101 anzsrc-for:1108 schema:inDefinedTermSet anzsrc-for:
102 schema:name Medical Microbiology
103 rdf:type schema:DefinedTerm
104 sg:journal.1039458 schema:issn 1756-3305
105 schema:name Filaria Journal
106 rdf:type schema:Periodical
107 sg:person.01042672462.44 schema:affiliation https://www.grid.ac/institutes/grid.4489.1
108 schema:familyName Jercic
109 schema:givenName María Isabel
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042672462.44
111 rdf:type schema:Person
112 sg:person.01046644173.56 schema:affiliation https://www.grid.ac/institutes/grid.415779.9
113 schema:familyName Fernández
114 schema:givenName Jorge
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046644173.56
116 rdf:type schema:Person
117 sg:person.01065774577.74 schema:affiliation https://www.grid.ac/institutes/grid.415779.9
118 schema:familyName Lagos
119 schema:givenName Jaime
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065774577.74
121 rdf:type schema:Person
122 sg:person.01070316120.91 schema:affiliation https://www.grid.ac/institutes/grid.441837.d
123 schema:familyName Muiño
124 schema:givenName Laura
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070316120.91
126 rdf:type schema:Person
127 sg:person.01145524427.00 schema:affiliation https://www.grid.ac/institutes/grid.4489.1
128 schema:familyName Osuna
129 schema:givenName Antonio
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145524427.00
131 rdf:type schema:Person
132 sg:person.01216523035.07 schema:affiliation https://www.grid.ac/institutes/grid.440625.1
133 schema:familyName Saldarriaga-Córdoba
134 schema:givenName Mónica
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216523035.07
136 rdf:type schema:Person
137 sg:person.0605551125.61 schema:affiliation https://www.grid.ac/institutes/grid.440627.3
138 schema:familyName Chenet
139 schema:givenName Stella Maris
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605551125.61
141 rdf:type schema:Person
142 sg:person.0717237412.16 schema:affiliation https://www.grid.ac/institutes/grid.415779.9
143 schema:familyName Aguayo
144 schema:givenName Carolina
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717237412.16
146 rdf:type schema:Person
147 sg:pub.10.1007/bf01731581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023239976
148 https://doi.org/10.1007/bf01731581
149 rdf:type schema:CreativeWork
150 sg:pub.10.1007/s00284-001-0108-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010831976
151 https://doi.org/10.1007/s00284-001-0108-3
152 rdf:type schema:CreativeWork
153 sg:pub.10.1007/s00436-013-3572-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005416549
154 https://doi.org/10.1007/s00436-013-3572-3
155 rdf:type schema:CreativeWork
156 sg:pub.10.1007/s00436-016-5072-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028567599
157 https://doi.org/10.1007/s00436-016-5072-8
158 rdf:type schema:CreativeWork
159 sg:pub.10.1007/s00436-017-5406-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083765706
160 https://doi.org/10.1007/s00436-017-5406-1
161 rdf:type schema:CreativeWork
162 sg:pub.10.1007/s00436-018-5824-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101502592
163 https://doi.org/10.1007/s00436-018-5824-8
164 rdf:type schema:CreativeWork
165 sg:pub.10.1007/s10792-018-0958-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104898293
166 https://doi.org/10.1007/s10792-018-0958-3
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1002/0471250953.bi0301s42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034508260
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1002/wics.199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041921930
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.ajo.2009.06.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017710225
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.meegid.2017.06.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090323964
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/s0140-6736(74)90285-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018230182
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1051/parasite/2015010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015312955
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1093/bioinformatics/btg180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036252078
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1093/molbev/msw054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012564990
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1093/sysbio/syy032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103643861
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1097/ico.0000000000000804 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051507520
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1099/jmm.0.45970-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060392846
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1111/j.1550-7408.1996.tb04510.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039811899
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1111/j.1550-7408.1998.tb05068.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1013374247
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1111/j.1550-7408.2011.00584.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1042796215
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1111/jeu.12149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019459923
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1111/jeu.12186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040942181
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1128/jcm.00031-14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007619604
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1128/jcm.02365-08 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049431349
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1128/jcm.39.5.1903-1911.2001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041643883
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1128/jcm.40.5.1621-1625.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012135649
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1136/bjo.2007.132266 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047265072
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1167/iovs.03-1073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044356713
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1515/ap-2016-0031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027172062
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1515/ap-2016-0063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046443706
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1515/ap-2016-0110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028206693
217 rdf:type schema:CreativeWork
218 https://www.grid.ac/institutes/grid.415779.9 schema:alternateName Ministry of Health
219 schema:name Subdepartamento de Genética Molecular, Instituto de Salud Pública de Chile, Av. Marathon 1000, Ñuñoa, CP 7780050, Santiago, Chile
220 rdf:type schema:Organization
221 https://www.grid.ac/institutes/grid.440625.1 schema:alternateName Universidad Bernardo O'Higgins
222 schema:name Centro de Investigación en Recursos Naturales y Sustentabilidad, Universidad Bernardo O’Higgins, Av. Viel 1497, CP 8370993, Santiago, Chile
223 Sección Parasitología, Instituto de Salud Pública de Chile, Av. Marathon 1000, Ñuñoa, CP 7780050, Santiago, Chile
224 rdf:type schema:Organization
225 https://www.grid.ac/institutes/grid.440627.3 schema:alternateName University of the Andes
226 schema:name Facultad de Medicina, Universidad de los Andes, Monseñor Álvaro del Portillo 12455, CP 7550000, Las Condes, Chile
227 Sección Parasitología, Instituto de Salud Pública de Chile, Av. Marathon 1000, Ñuñoa, CP 7780050, Santiago, Chile
228 rdf:type schema:Organization
229 https://www.grid.ac/institutes/grid.441837.d schema:alternateName Universidad Autónoma de Chile
230 schema:name Facultad de Ciencias de la Salud, Instituto de Ciencias Biomédicas, Universidad Autónoma de Chile, El Llano Subercaseaux 2801, San Miguel, CP 8910060, Santiago, Chile
231 rdf:type schema:Organization
232 https://www.grid.ac/institutes/grid.4489.1 schema:alternateName University of Granada
233 schema:name Departamento de Parasitología, Instituto de Biotecnología, Grupo de Bioquímica y Parasitología Molecular, Universidad de Granada, Campus Universitario Fuentenueva, 18071, Granada, Spain
234 Sección Parasitología, Instituto de Salud Pública de Chile, Av. Marathon 1000, Ñuñoa, CP 7780050, Santiago, Chile
235 rdf:type schema:Organization
 




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


...