Application of matrix-assisted laser desorption/ionization mass spectrometry to identify species of Neotropical Anopheles vectors of malaria View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Jose R. Loaiza, Alejandro Almanza, Juan C. Rojas, Luis Mejía, Norma D. Cervantes, Javier E. Sanchez-Galan, Fernando Merchán, Arnaud Grillet, Matthew J. Miller, Luis F. De León, Rolando A. Gittens

ABSTRACT

BACKGROUND: Malaria control in Panama is problematic due to the high diversity of morphologically similar Anopheles mosquito species, which makes identification of vectors of human Plasmodium challenging. Strategies by Panamanian health authorities to bring malaria under control targeting Anopheles vectors could be ineffective if they tackle a misidentified species. METHODS: A rapid mass spectrometry identification procedure was developed to accurately and timely sort out field-collected Neotropical Anopheles mosquitoes into vector and non-vector species. Matrix-assisted laser desorption/ionization (MALDI) mass spectra of highly-abundant proteins were generated from laboratory-reared mosquitoes using different extraction protocols, body parts, and sexes to minimize the amount of material from specimen vouchers needed and optimize the protocol for taxonomic identification. Subsequently, the mass spectra of field-collected Neotropical Anopheles mosquito species were classified using a combination of custom-made unsupervised (i.e., Principal component analysis-PCA) and supervised (i.e., Linear discriminant analysis-LDA) classification algorithms. RESULTS: Regardless of the protocol used or the mosquito species and sex, the legs contained the least intra-specific variability with enough well-preserved proteins to differentiate among distinct biological species, consistent with previous literature. After minimizing the amount of material needed from the voucher, one leg was enough to produce reliable spectra between specimens. Further, both PCA and LDA were able to classify up to 12 mosquito species, from different subgenera and seven geographically spread localities across Panama using mass spectra from one leg pair. LDA demonstrated high discriminatory power and consistency, with validation and cross-validation positive identification rates above 93% at the species level. CONCLUSION: The selected sample processing procedure can be used to identify field-collected Anopheles species, including vectors of Plasmodium, in a short period of time, with a minimal amount of tissue and without the need of an expert mosquito taxonomist. This strategy to analyse protein spectra overcomes the drawbacks of working without a reference library to classify unknown samples. Finally, this MALDI approach can aid ongoing malaria eradication efforts in Panama and other countries with large number of mosquito's species by improving vector surveillance in epidemic-prone sites such as indigenous Comarcas. More... »

PAGES

95

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12936-019-2723-0

DOI

http://dx.doi.org/10.1186/s12936-019-2723-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112948936

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30902057


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": "Universidad De Panama", 
          "id": "https://www.grid.ac/institutes/grid.10984.34", 
          "name": [
            "Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Cient\u00edficas y Servicios de Alta Tecnolog\u00eda (INDICASAT AIP), City of Knowledge, 0843-01103, Panama, Republic of Panama", 
            "Smithsonian Tropical Research Institute, Panama, Republic of Panama", 
            "Programa Centroamericano de Maestr\u00eda en Entomolog\u00eda, Universidad de Panam\u00e1, Panama, Republic of Panama"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Loaiza", 
        "givenName": "Jose R.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto de Investigaciones Cient\u00edficas y Servicios de Alta Tecnolog\u00eda", 
          "id": "https://www.grid.ac/institutes/grid.452535.0", 
          "name": [
            "Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Cient\u00edficas y Servicios de Alta Tecnolog\u00eda (INDICASAT AIP), City of Knowledge, 0843-01103, Panama, Republic of Panama"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Almanza", 
        "givenName": "Alejandro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto de Investigaciones Cient\u00edficas y Servicios de Alta Tecnolog\u00eda", 
          "id": "https://www.grid.ac/institutes/grid.452535.0", 
          "name": [
            "Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Cient\u00edficas y Servicios de Alta Tecnolog\u00eda (INDICASAT AIP), City of Knowledge, 0843-01103, Panama, Republic of Panama"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rojas", 
        "givenName": "Juan C.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Smithsonian Tropical Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.438006.9", 
          "name": [
            "Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Cient\u00edficas y Servicios de Alta Tecnolog\u00eda (INDICASAT AIP), City of Knowledge, 0843-01103, Panama, Republic of Panama", 
            "Smithsonian Tropical Research Institute, Panama, Republic of Panama"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mej\u00eda", 
        "givenName": "Luis", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The University of Texas at El Paso", 
          "id": "https://www.grid.ac/institutes/grid.267324.6", 
          "name": [
            "College of Health Sciences, The University of Texas at El Paso, El Paso, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cervantes", 
        "givenName": "Norma D.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technological University of Panama", 
          "id": "https://www.grid.ac/institutes/grid.441509.d", 
          "name": [
            "Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Cient\u00edficas y Servicios de Alta Tecnolog\u00eda (INDICASAT AIP), City of Knowledge, 0843-01103, Panama, Republic of Panama", 
            "Grupo de Investigaci\u00f3n en Biotecnolog\u00eda, Bioinform\u00e1tica y Biolog\u00eda de Sistemas, Centro de Producci\u00f3n e Investigaciones Agroindustriales, Universidad Tecnol\u00f3gica de Panam\u00e1, Panama, Republic of Panama"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sanchez-Galan", 
        "givenName": "Javier E.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technological University of Panama", 
          "id": "https://www.grid.ac/institutes/grid.441509.d", 
          "name": [
            "Grupo de Investigaci\u00f3n en Sistemas de Comunicaciones Digitales Avanzados, Facultad de Ingenier\u00eda El\u00e9ctrica, Universidad Tecnol\u00f3gica de Panam\u00e1, Panama, Republic of Panama"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Merch\u00e1n", 
        "givenName": "Fernando", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Polytechnique de Bordeaux", 
          "id": "https://www.grid.ac/institutes/grid.424725.2", 
          "name": [
            "Grupo de Investigaci\u00f3n en Sistemas de Comunicaciones Digitales Avanzados, Facultad de Ingenier\u00eda El\u00e9ctrica, Universidad Tecnol\u00f3gica de Panam\u00e1, Panama, Republic of Panama", 
            "ENSEIRB-MATMECA-Bordeaux INP, Talence, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Grillet", 
        "givenName": "Arnaud", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oklahoma", 
          "id": "https://www.grid.ac/institutes/grid.266900.b", 
          "name": [
            "Sam Noble Oklahoma Museum of Natural History and Department of Biology, University of Oklahoma, Norman, OK, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miller", 
        "givenName": "Matthew J.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Massachusetts Boston", 
          "id": "https://www.grid.ac/institutes/grid.266685.9", 
          "name": [
            "Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Cient\u00edficas y Servicios de Alta Tecnolog\u00eda (INDICASAT AIP), City of Knowledge, 0843-01103, Panama, Republic of Panama", 
            "Department of Biology, University of Massachusetts Boston, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "De Le\u00f3n", 
        "givenName": "Luis F.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto de Investigaciones Cient\u00edficas y Servicios de Alta Tecnolog\u00eda", 
          "id": "https://www.grid.ac/institutes/grid.452535.0", 
          "name": [
            "Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Cient\u00edficas y Servicios de Alta Tecnolog\u00eda (INDICASAT AIP), City of Knowledge, 0843-01103, Panama, Republic of Panama", 
            "Centro de Neurociencias, INDICASAT AIP, Panama, Republic of Panama"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gittens", 
        "givenName": "Rolando A.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1371/journal.pntd.0004718", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001253639"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13071-016-1776-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001912174", 
          "https://doi.org/10.1186/s13071-016-1776-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13071-016-1776-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001912174", 
          "https://doi.org/10.1186/s13071-016-1776-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actatropica.2013.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005808722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fmicb.2015.00791", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006259825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jmedent/45.5.841", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007199111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pntd.0004351", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007825812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2915.2010.00927.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024125849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0072380", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026090081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1756-3305-7-21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028739080", 
          "https://doi.org/10.1186/1756-3305-7-21"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0054063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029103079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0095525", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030027280"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth372", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031730247"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13071-014-0569-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032581863", 
          "https://doi.org/10.1186/s13071-014-0569-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13071-014-0569-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032581863", 
          "https://doi.org/10.1186/s13071-014-0569-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00436-014-3876-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032722801", 
          "https://doi.org/10.1007/s00436-014-3876-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1755-0998.12046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033177187"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-015-0987-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033306042", 
          "https://doi.org/10.1186/s12936-015-0987-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.02665-12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033905476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0057486", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035463011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pntd.0002305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038747363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-016-1657-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039057103", 
          "https://doi.org/10.1186/s12936-016-1657-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-016-1657-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039057103", 
          "https://doi.org/10.1186/s12936-016-1657-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2915.2002.00373.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040809129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1162/jocn.1991.3.1.71", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043225769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2011.08.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045883328"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ttbdis.2011.11.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046434837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cimid.2014.05.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047151611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/emi.2014.27", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048048614", 
          "https://doi.org/10.1038/emi.2014.27"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1756-3305-7-142", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051204204", 
          "https://doi.org/10.1186/1756-3305-7-142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-014-0529-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051858618", 
          "https://doi.org/10.1186/s12936-014-0529-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-014-0529-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051858618", 
          "https://doi.org/10.1186/s12936-014-0529-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/106652703322756159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059204989"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/34.598228", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061156617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4269/ajtmh.2009.81.23", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077919491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078662476", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13071-018-2854-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103766312", 
          "https://doi.org/10.1186/s13071-018-2854-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13071-018-2854-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103766312", 
          "https://doi.org/10.1186/s13071-018-2854-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1107663786", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13071-018-3157-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1108015535", 
          "https://doi.org/10.1186/s13071-018-3157-1"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: Malaria control in Panama is problematic due to the high diversity of morphologically similar Anopheles mosquito species, which makes identification of vectors of human Plasmodium challenging. Strategies by Panamanian health authorities to bring malaria under control targeting Anopheles vectors could be ineffective if they tackle a misidentified species.\nMETHODS: A rapid mass spectrometry identification procedure was developed to accurately and timely sort out field-collected Neotropical Anopheles mosquitoes into vector and non-vector species. Matrix-assisted laser desorption/ionization (MALDI) mass spectra of highly-abundant proteins were generated from laboratory-reared mosquitoes using different extraction protocols, body parts, and sexes to minimize the amount of material from specimen vouchers needed and optimize the protocol for taxonomic identification. Subsequently, the mass spectra of field-collected Neotropical Anopheles mosquito species were classified using a combination of custom-made unsupervised (i.e., Principal component analysis-PCA) and supervised (i.e., Linear discriminant analysis-LDA) classification algorithms.\nRESULTS: Regardless of the protocol used or the mosquito species and sex, the legs contained the least intra-specific variability with enough well-preserved proteins to differentiate among distinct biological species, consistent with previous literature. After minimizing the amount of material needed from the voucher, one leg was enough to produce reliable spectra between specimens. Further, both PCA and LDA were able to classify up to 12 mosquito species, from different subgenera and seven geographically spread localities across Panama using mass spectra from one leg pair. LDA demonstrated high discriminatory power and consistency, with validation and cross-validation positive identification rates above 93% at the species level.\nCONCLUSION: The selected sample processing procedure can be used to identify field-collected Anopheles species, including vectors of Plasmodium, in a short period of time, with a minimal amount of tissue and without the need of an expert mosquito taxonomist. This strategy to analyse protein spectra overcomes the drawbacks of working without a reference library to classify unknown samples. Finally, this MALDI approach can aid ongoing malaria eradication efforts in Panama and other countries with large number of mosquito's species by improving vector surveillance in epidemic-prone sites such as indigenous Comarcas.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12936-019-2723-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2686450", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1030597", 
        "issn": [
          "1475-2875"
        ], 
        "name": "Malaria Journal", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "18"
      }
    ], 
    "name": "Application of matrix-assisted laser desorption/ionization mass spectrometry to identify species of Neotropical Anopheles vectors of malaria", 
    "pagination": "95", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "de4bad841c9bb0fdd2073aa38a7b622df463c4ac36e1606cb494c9be4dc8ea80"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30902057"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101139802"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12936-019-2723-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112948936"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12936-019-2723-0", 
      "https://app.dimensions.ai/details/publication/pub.1112948936"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:20", 
    "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/v90/0000000372_0000000372/records_117123_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12936-019-2723-0"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12936-019-2723-0'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12936-019-2723-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12936-019-2723-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12936-019-2723-0'


 

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

272 TRIPLES      21 PREDICATES      64 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12936-019-2723-0 schema:about anzsrc-for:11
2 anzsrc-for:1108
3 schema:author N2e64a8a9671b4d3699c3b184a60a9e65
4 schema:citation sg:pub.10.1007/s00436-014-3876-y
5 sg:pub.10.1038/emi.2014.27
6 sg:pub.10.1186/1756-3305-7-142
7 sg:pub.10.1186/1756-3305-7-21
8 sg:pub.10.1186/s12936-014-0529-7
9 sg:pub.10.1186/s12936-015-0987-6
10 sg:pub.10.1186/s12936-016-1657-z
11 sg:pub.10.1186/s13071-014-0569-4
12 sg:pub.10.1186/s13071-016-1776-y
13 sg:pub.10.1186/s13071-018-2854-0
14 sg:pub.10.1186/s13071-018-3157-1
15 https://app.dimensions.ai/details/publication/pub.1078662476
16 https://app.dimensions.ai/details/publication/pub.1107663786
17 https://doi.org/10.1016/j.aca.2011.08.033
18 https://doi.org/10.1016/j.actatropica.2013.06.012
19 https://doi.org/10.1016/j.cimid.2014.05.002
20 https://doi.org/10.1016/j.ttbdis.2011.11.002
21 https://doi.org/10.1046/j.1365-2915.2002.00373.x
22 https://doi.org/10.1089/106652703322756159
23 https://doi.org/10.1093/bioinformatics/bth372
24 https://doi.org/10.1093/jmedent/45.5.841
25 https://doi.org/10.1109/34.598228
26 https://doi.org/10.1111/1755-0998.12046
27 https://doi.org/10.1111/j.1365-2915.2010.00927.x
28 https://doi.org/10.1128/jcm.02665-12
29 https://doi.org/10.1162/jocn.1991.3.1.71
30 https://doi.org/10.1371/journal.pntd.0002305
31 https://doi.org/10.1371/journal.pntd.0004351
32 https://doi.org/10.1371/journal.pntd.0004718
33 https://doi.org/10.1371/journal.pone.0054063
34 https://doi.org/10.1371/journal.pone.0057486
35 https://doi.org/10.1371/journal.pone.0072380
36 https://doi.org/10.1371/journal.pone.0095525
37 https://doi.org/10.3389/fmicb.2015.00791
38 https://doi.org/10.4269/ajtmh.2009.81.23
39 schema:datePublished 2019-12
40 schema:datePublishedReg 2019-12-01
41 schema:description BACKGROUND: Malaria control in Panama is problematic due to the high diversity of morphologically similar Anopheles mosquito species, which makes identification of vectors of human Plasmodium challenging. Strategies by Panamanian health authorities to bring malaria under control targeting Anopheles vectors could be ineffective if they tackle a misidentified species. METHODS: A rapid mass spectrometry identification procedure was developed to accurately and timely sort out field-collected Neotropical Anopheles mosquitoes into vector and non-vector species. Matrix-assisted laser desorption/ionization (MALDI) mass spectra of highly-abundant proteins were generated from laboratory-reared mosquitoes using different extraction protocols, body parts, and sexes to minimize the amount of material from specimen vouchers needed and optimize the protocol for taxonomic identification. Subsequently, the mass spectra of field-collected Neotropical Anopheles mosquito species were classified using a combination of custom-made unsupervised (i.e., Principal component analysis-PCA) and supervised (i.e., Linear discriminant analysis-LDA) classification algorithms. RESULTS: Regardless of the protocol used or the mosquito species and sex, the legs contained the least intra-specific variability with enough well-preserved proteins to differentiate among distinct biological species, consistent with previous literature. After minimizing the amount of material needed from the voucher, one leg was enough to produce reliable spectra between specimens. Further, both PCA and LDA were able to classify up to 12 mosquito species, from different subgenera and seven geographically spread localities across Panama using mass spectra from one leg pair. LDA demonstrated high discriminatory power and consistency, with validation and cross-validation positive identification rates above 93% at the species level. CONCLUSION: The selected sample processing procedure can be used to identify field-collected Anopheles species, including vectors of Plasmodium, in a short period of time, with a minimal amount of tissue and without the need of an expert mosquito taxonomist. This strategy to analyse protein spectra overcomes the drawbacks of working without a reference library to classify unknown samples. Finally, this MALDI approach can aid ongoing malaria eradication efforts in Panama and other countries with large number of mosquito's species by improving vector surveillance in epidemic-prone sites such as indigenous Comarcas.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree true
45 schema:isPartOf N0a70eff9ece542948c7a2202d03cb649
46 N8a53f1b5a43d4842aca10cd2e291c674
47 sg:journal.1030597
48 schema:name Application of matrix-assisted laser desorption/ionization mass spectrometry to identify species of Neotropical Anopheles vectors of malaria
49 schema:pagination 95
50 schema:productId N2c8fa6ff389a4e5a80fbaec1db8b3abf
51 N2d474bc522214e19833f996d811d48a5
52 N7c4d358778b149649bc4671d848559f5
53 Na0baf90de01247c0b84d72f8db1f0aa4
54 Naa09ed0d369042fb8a2135eb5f73ce6f
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112948936
56 https://doi.org/10.1186/s12936-019-2723-0
57 schema:sdDatePublished 2019-04-11T14:20
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher N6415140b4f974cbeaf9f6b826f46991e
60 schema:url https://link.springer.com/10.1186%2Fs12936-019-2723-0
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N0a70eff9ece542948c7a2202d03cb649 schema:issueNumber 1
65 rdf:type schema:PublicationIssue
66 N17d02ba7e79443578760dac2d5f979e2 schema:affiliation https://www.grid.ac/institutes/grid.266685.9
67 schema:familyName De León
68 schema:givenName Luis F.
69 rdf:type schema:Person
70 N1ccc4e3eacd945e1ba893ed136cdc7f0 rdf:first N781e241004aa42adb34d946325e82462
71 rdf:rest Ne526a52a9f0548c1bf47de80d79fbc02
72 N22e5a9ea57074326bb7059e3771e9302 rdf:first N6c200c3cedd84bbfbd7bd0f68bb65a49
73 rdf:rest N1ccc4e3eacd945e1ba893ed136cdc7f0
74 N2c8fa6ff389a4e5a80fbaec1db8b3abf schema:name dimensions_id
75 schema:value pub.1112948936
76 rdf:type schema:PropertyValue
77 N2d474bc522214e19833f996d811d48a5 schema:name nlm_unique_id
78 schema:value 101139802
79 rdf:type schema:PropertyValue
80 N2e64a8a9671b4d3699c3b184a60a9e65 rdf:first N71817e8df4474f03a52720e43ce958eb
81 rdf:rest N4d48cf1f2c2b451886d47f5f95685005
82 N314af10d810c4eccaec52d346199b477 schema:affiliation https://www.grid.ac/institutes/grid.452535.0
83 schema:familyName Rojas
84 schema:givenName Juan C.
85 rdf:type schema:Person
86 N4051dc0e3c9241748598c95d9a1dfcfa schema:affiliation https://www.grid.ac/institutes/grid.266900.b
87 schema:familyName Miller
88 schema:givenName Matthew J.
89 rdf:type schema:Person
90 N4d48cf1f2c2b451886d47f5f95685005 rdf:first N8c7e68eb89764f47886f00617f9a55a0
91 rdf:rest Na1004068a5ce4c56aa7a729ad64b6859
92 N50065be37e20443c9c50eb75274abc85 rdf:first N17d02ba7e79443578760dac2d5f979e2
93 rdf:rest Ndae396d2b7b641d3bb2d0145af331166
94 N6415140b4f974cbeaf9f6b826f46991e schema:name Springer Nature - SN SciGraph project
95 rdf:type schema:Organization
96 N6771cb2bddce4da9b0e20e12cb7d1dcd schema:affiliation https://www.grid.ac/institutes/grid.452535.0
97 schema:familyName Gittens
98 schema:givenName Rolando A.
99 rdf:type schema:Person
100 N6c200c3cedd84bbfbd7bd0f68bb65a49 schema:affiliation https://www.grid.ac/institutes/grid.441509.d
101 schema:familyName Sanchez-Galan
102 schema:givenName Javier E.
103 rdf:type schema:Person
104 N71817e8df4474f03a52720e43ce958eb schema:affiliation https://www.grid.ac/institutes/grid.10984.34
105 schema:familyName Loaiza
106 schema:givenName Jose R.
107 rdf:type schema:Person
108 N74e1144972ef47a4964b02776f03f806 rdf:first Na7b7d91dda464cc399d33e0619054bdd
109 rdf:rest N96050b0de638449fa8884c4ef981aeb7
110 N781e241004aa42adb34d946325e82462 schema:affiliation https://www.grid.ac/institutes/grid.441509.d
111 schema:familyName Merchán
112 schema:givenName Fernando
113 rdf:type schema:Person
114 N7c4d358778b149649bc4671d848559f5 schema:name pubmed_id
115 schema:value 30902057
116 rdf:type schema:PropertyValue
117 N8a53f1b5a43d4842aca10cd2e291c674 schema:volumeNumber 18
118 rdf:type schema:PublicationVolume
119 N8c7e68eb89764f47886f00617f9a55a0 schema:affiliation https://www.grid.ac/institutes/grid.452535.0
120 schema:familyName Almanza
121 schema:givenName Alejandro
122 rdf:type schema:Person
123 N8d502b4d8a794522b74809cfa2f13095 rdf:first N4051dc0e3c9241748598c95d9a1dfcfa
124 rdf:rest N50065be37e20443c9c50eb75274abc85
125 N96050b0de638449fa8884c4ef981aeb7 rdf:first Nc5b06b89aca649889a42d7d3de331c32
126 rdf:rest N22e5a9ea57074326bb7059e3771e9302
127 Na0baf90de01247c0b84d72f8db1f0aa4 schema:name readcube_id
128 schema:value de4bad841c9bb0fdd2073aa38a7b622df463c4ac36e1606cb494c9be4dc8ea80
129 rdf:type schema:PropertyValue
130 Na1004068a5ce4c56aa7a729ad64b6859 rdf:first N314af10d810c4eccaec52d346199b477
131 rdf:rest N74e1144972ef47a4964b02776f03f806
132 Na7b7d91dda464cc399d33e0619054bdd schema:affiliation https://www.grid.ac/institutes/grid.438006.9
133 schema:familyName Mejía
134 schema:givenName Luis
135 rdf:type schema:Person
136 Naa09ed0d369042fb8a2135eb5f73ce6f schema:name doi
137 schema:value 10.1186/s12936-019-2723-0
138 rdf:type schema:PropertyValue
139 Nc5b06b89aca649889a42d7d3de331c32 schema:affiliation https://www.grid.ac/institutes/grid.267324.6
140 schema:familyName Cervantes
141 schema:givenName Norma D.
142 rdf:type schema:Person
143 Nd6d8422299d94faabed8d27c377c493c schema:affiliation https://www.grid.ac/institutes/grid.424725.2
144 schema:familyName Grillet
145 schema:givenName Arnaud
146 rdf:type schema:Person
147 Ndae396d2b7b641d3bb2d0145af331166 rdf:first N6771cb2bddce4da9b0e20e12cb7d1dcd
148 rdf:rest rdf:nil
149 Ne526a52a9f0548c1bf47de80d79fbc02 rdf:first Nd6d8422299d94faabed8d27c377c493c
150 rdf:rest N8d502b4d8a794522b74809cfa2f13095
151 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
152 schema:name Medical and Health Sciences
153 rdf:type schema:DefinedTerm
154 anzsrc-for:1108 schema:inDefinedTermSet anzsrc-for:
155 schema:name Medical Microbiology
156 rdf:type schema:DefinedTerm
157 sg:grant.2686450 http://pending.schema.org/fundedItem sg:pub.10.1186/s12936-019-2723-0
158 rdf:type schema:MonetaryGrant
159 sg:journal.1030597 schema:issn 1475-2875
160 schema:name Malaria Journal
161 rdf:type schema:Periodical
162 sg:pub.10.1007/s00436-014-3876-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1032722801
163 https://doi.org/10.1007/s00436-014-3876-y
164 rdf:type schema:CreativeWork
165 sg:pub.10.1038/emi.2014.27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048048614
166 https://doi.org/10.1038/emi.2014.27
167 rdf:type schema:CreativeWork
168 sg:pub.10.1186/1756-3305-7-142 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051204204
169 https://doi.org/10.1186/1756-3305-7-142
170 rdf:type schema:CreativeWork
171 sg:pub.10.1186/1756-3305-7-21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028739080
172 https://doi.org/10.1186/1756-3305-7-21
173 rdf:type schema:CreativeWork
174 sg:pub.10.1186/s12936-014-0529-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051858618
175 https://doi.org/10.1186/s12936-014-0529-7
176 rdf:type schema:CreativeWork
177 sg:pub.10.1186/s12936-015-0987-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033306042
178 https://doi.org/10.1186/s12936-015-0987-6
179 rdf:type schema:CreativeWork
180 sg:pub.10.1186/s12936-016-1657-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1039057103
181 https://doi.org/10.1186/s12936-016-1657-z
182 rdf:type schema:CreativeWork
183 sg:pub.10.1186/s13071-014-0569-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032581863
184 https://doi.org/10.1186/s13071-014-0569-4
185 rdf:type schema:CreativeWork
186 sg:pub.10.1186/s13071-016-1776-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1001912174
187 https://doi.org/10.1186/s13071-016-1776-y
188 rdf:type schema:CreativeWork
189 sg:pub.10.1186/s13071-018-2854-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103766312
190 https://doi.org/10.1186/s13071-018-2854-0
191 rdf:type schema:CreativeWork
192 sg:pub.10.1186/s13071-018-3157-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1108015535
193 https://doi.org/10.1186/s13071-018-3157-1
194 rdf:type schema:CreativeWork
195 https://app.dimensions.ai/details/publication/pub.1078662476 schema:CreativeWork
196 https://app.dimensions.ai/details/publication/pub.1107663786 schema:CreativeWork
197 https://doi.org/10.1016/j.aca.2011.08.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045883328
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1016/j.actatropica.2013.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005808722
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1016/j.cimid.2014.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047151611
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1016/j.ttbdis.2011.11.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046434837
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1046/j.1365-2915.2002.00373.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1040809129
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1089/106652703322756159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059204989
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1093/bioinformatics/bth372 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031730247
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1093/jmedent/45.5.841 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007199111
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1109/34.598228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061156617
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1111/1755-0998.12046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033177187
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1111/j.1365-2915.2010.00927.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024125849
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1128/jcm.02665-12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033905476
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1162/jocn.1991.3.1.71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043225769
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1371/journal.pntd.0002305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038747363
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1371/journal.pntd.0004351 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007825812
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1371/journal.pntd.0004718 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001253639
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1371/journal.pone.0054063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029103079
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1371/journal.pone.0057486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035463011
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1371/journal.pone.0072380 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026090081
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1371/journal.pone.0095525 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030027280
236 rdf:type schema:CreativeWork
237 https://doi.org/10.3389/fmicb.2015.00791 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006259825
238 rdf:type schema:CreativeWork
239 https://doi.org/10.4269/ajtmh.2009.81.23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077919491
240 rdf:type schema:CreativeWork
241 https://www.grid.ac/institutes/grid.10984.34 schema:alternateName Universidad De Panama
242 schema:name Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), City of Knowledge, 0843-01103, Panama, Republic of Panama
243 Programa Centroamericano de Maestría en Entomología, Universidad de Panamá, Panama, Republic of Panama
244 Smithsonian Tropical Research Institute, Panama, Republic of Panama
245 rdf:type schema:Organization
246 https://www.grid.ac/institutes/grid.266685.9 schema:alternateName University of Massachusetts Boston
247 schema:name Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), City of Knowledge, 0843-01103, Panama, Republic of Panama
248 Department of Biology, University of Massachusetts Boston, Boston, MA, USA
249 rdf:type schema:Organization
250 https://www.grid.ac/institutes/grid.266900.b schema:alternateName University of Oklahoma
251 schema:name Sam Noble Oklahoma Museum of Natural History and Department of Biology, University of Oklahoma, Norman, OK, USA
252 rdf:type schema:Organization
253 https://www.grid.ac/institutes/grid.267324.6 schema:alternateName The University of Texas at El Paso
254 schema:name College of Health Sciences, The University of Texas at El Paso, El Paso, TX, USA
255 rdf:type schema:Organization
256 https://www.grid.ac/institutes/grid.424725.2 schema:alternateName Institut Polytechnique de Bordeaux
257 schema:name ENSEIRB-MATMECA-Bordeaux INP, Talence, France
258 Grupo de Investigación en Sistemas de Comunicaciones Digitales Avanzados, Facultad de Ingeniería Eléctrica, Universidad Tecnológica de Panamá, Panama, Republic of Panama
259 rdf:type schema:Organization
260 https://www.grid.ac/institutes/grid.438006.9 schema:alternateName Smithsonian Tropical Research Institute
261 schema:name Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), City of Knowledge, 0843-01103, Panama, Republic of Panama
262 Smithsonian Tropical Research Institute, Panama, Republic of Panama
263 rdf:type schema:Organization
264 https://www.grid.ac/institutes/grid.441509.d schema:alternateName Technological University of Panama
265 schema:name Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), City of Knowledge, 0843-01103, Panama, Republic of Panama
266 Grupo de Investigación en Biotecnología, Bioinformática y Biología de Sistemas, Centro de Producción e Investigaciones Agroindustriales, Universidad Tecnológica de Panamá, Panama, Republic of Panama
267 Grupo de Investigación en Sistemas de Comunicaciones Digitales Avanzados, Facultad de Ingeniería Eléctrica, Universidad Tecnológica de Panamá, Panama, Republic of Panama
268 rdf:type schema:Organization
269 https://www.grid.ac/institutes/grid.452535.0 schema:alternateName Instituto de Investigaciones Científicas y Servicios de Alta Tecnología
270 schema:name Centro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), City of Knowledge, 0843-01103, Panama, Republic of Panama
271 Centro de Neurociencias, INDICASAT AIP, Panama, Republic of Panama
272 rdf:type schema:Organization
 




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


...