The use of driving endonuclease genes to suppress mosquito vectors of malaria in temporally variable environments View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-04-04

AUTHORS

Ben Lambert, Ace North, Austin Burt, H. Charles J. Godfray

ABSTRACT

BACKGROUND: The use of gene drive systems to manipulate populations of malaria vectors is currently being investigated as a method of malaria control. One potential system uses driving endonuclease genes (DEGs) to spread genes that impose a genetic load. Previously, models have shown that the introduction of DEG-bearing mosquitoes could suppress or even extinguish vector populations in spatially-heterogeneous environments which were constant over time. In this study, a stochastic spatially-explicit model of mosquito ecology is combined with a rainfall model which enables the generation of a variety of daily precipitation patterns. The model is then used to investigate how releases of a DEG that cause a bias in population sex ratios towards males are affected by seasonal or random rainfall patterns. The parameters of the rainfall model are then fitted using data from Bamako, Mali, and Mbita, Kenya, to evaluate release strategies in similar climatic conditions. RESULTS: In landscapes with abundant resources and large mosquito populations the spread of a DEG is reliable, irrespective of variability in rainfall. This study thus focuses mainly on landscapes with low density mosquito populations where the spread of a DEG may be sensitive to variation in rainfall. It is found that an introduced DEG will spread into its target population more reliably in wet conditions, yet an established DEG will have more impact in dry conditions. In strongly seasonal environments, it is thus preferable to release DEGs at the onset of a wet season to maximize their spread before the following dry season. If the variability in rainfall has a substantial random component, there is a net increase in the probability that a DEG release will lead to population extinction, due to the increased impact of a DEG which manages to establish in these conditions. For Bamako, where annual rainfall patterns are characterized by a long dry season, it is optimal to release a DEG at the start of the wet season, where the population is growing fastest. By contrast release timing is of lower importance for the less seasonal Mbita. CONCLUSION: This analysis suggests that DEG based methods of malaria vector control can be effective in a wide range of climates. In environments with substantial temporal variation in rainfall, careful timing of releases which accounts for the temporal variation in population density can substantially improve the probability of mosquito suppression or extinction. More... »

PAGES

154

References to SciGraph publications

  • 2015-07-25. Malaria eradication and elimination: views on how to translate a vision into reality in BMC MEDICINE
  • 2013-01-16. Topographic models for predicting malaria vector breeding habitats: potential tools for vector control managers in PARASITES & VECTORS
  • 2011-12-20. A new world malaria map: Plasmodium falciparum endemicity in 2010 in MALARIA JOURNAL
  • 2014-06-10. A synthetic sex ratio distortion system for the control of the human malaria mosquito in NATURE COMMUNICATIONS
  • 2007-01-25. An elaborated feeding cycle model for reductions in vectorial capacity of night-biting mosquitoes by insecticide-treated nets in MALARIA JOURNAL
  • 2011-04-20. A synthetic homing endonuclease-based gene drive system in the human malaria mosquito in NATURE
  • 2004. The Sahelian Climate in VEGETATION, WATER, HUMANS AND THE CLIMATE
  • 2016-02-05. Can CRISPR-Cas9 gene drives curb malaria? in NATURE BIOTECHNOLOGY
  • 2011-06-28. Spatial distribution and male mating success of Anopheles gambiae swarms in BMC EVOLUTIONARY BIOLOGY
  • 2008-01-01. The endless tale of non-homologous end-joining in CELL RESEARCH
  • 1971-08. New Hypothesis of the Cause of Cytoplasmic Incompatibility in Culex pipiens L. in NATURE
  • 2014-11-26. Signatures of aestivation and migration in Sahelian malaria mosquito populations in NATURE
  • 2015-09-15. Seasonality of Plasmodium falciparum transmission: a systematic review in MALARIA JOURNAL
  • 2011-06-06. The contribution of aestivating mosquitoes to the persistence of Anopheles gambiae in the Sahel in MALARIA JOURNAL
  • 2016-01-01. A CRISPR-Cas9 Gene Drive System Targeting Female Reproduction in the Malaria Mosquito vector Anopheles gambiae in NATURE BIOTECHNOLOGY
  • 2017-09-11. How driving endonuclease genes can be used to combat pests and disease vectors in BMC BIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12936-018-2259-8

    DOI

    http://dx.doi.org/10.1186/s12936-018-2259-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1103128542

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29618367


    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/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Anopheles", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Endonucleases", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Insect Control", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Insect Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Kenya", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Malaria", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mali", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Models, Genetic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mosquito Vectors", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Population Density", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Seasons", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, St. Mary\u2019s Campus, Norfolk Place, London, W2 1PG UK", 
              "id": "http://www.grid.ac/institutes/grid.7445.2", 
              "name": [
                "Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS UK", 
                "Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, St. Mary\u2019s Campus, Norfolk Place, London, W2 1PG UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lambert", 
            "givenName": "Ben", 
            "id": "sg:person.011703014040.81", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011703014040.81"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS UK", 
              "id": "http://www.grid.ac/institutes/grid.4991.5", 
              "name": [
                "Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "North", 
            "givenName": "Ace", 
            "id": "sg:person.0702016165.68", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702016165.68"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Life Sciences, Imperial College London, Silwood Park, Ascot, Berks, SL5 7PY UK", 
              "id": "http://www.grid.ac/institutes/grid.7445.2", 
              "name": [
                "Department of Life Sciences, Imperial College London, Silwood Park, Ascot, Berks, SL5 7PY UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Burt", 
            "givenName": "Austin", 
            "id": "sg:person.01142167260.64", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142167260.64"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS UK", 
              "id": "http://www.grid.ac/institutes/grid.4991.5", 
              "name": [
                "Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Godfray", 
            "givenName": "H. Charles J.", 
            "id": "sg:person.011640134634.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011640134634.35"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/nature13987", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041901813", 
              "https://doi.org/10.1038/nature13987"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms4977", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031506350", 
              "https://doi.org/10.1038/ncomms4977"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09937", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020125616", 
              "https://doi.org/10.1038/nature09937"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1475-2875-6-10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018791831", 
              "https://doi.org/10.1186/1475-2875-6-10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1475-2875-10-378", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036893759", 
              "https://doi.org/10.1186/1475-2875-10-378"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2148-11-184", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022270010", 
              "https://doi.org/10.1186/1471-2148-11-184"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/232657a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051726428", 
              "https://doi.org/10.1038/232657a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/cr.2008.3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015186979", 
              "https://doi.org/10.1038/cr.2008.3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12916-015-0384-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002871469", 
              "https://doi.org/10.1186/s12916-015-0384-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12936-015-0849-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019921551", 
              "https://doi.org/10.1186/s12936-015-0849-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12915-017-0420-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091568342", 
              "https://doi.org/10.1186/s12915-017-0420-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1756-3305-6-14", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020878235", 
              "https://doi.org/10.1186/1756-3305-6-14"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.3473", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021882586", 
              "https://doi.org/10.1038/nbt.3473"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.3439", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012287729", 
              "https://doi.org/10.1038/nbt.3439"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1475-2875-10-151", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000115628", 
              "https://doi.org/10.1186/1475-2875-10-151"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-18948-7_6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005447637", 
              "https://doi.org/10.1007/978-3-642-18948-7_6"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-04-04", 
        "datePublishedReg": "2018-04-04", 
        "description": "BACKGROUND: The use of gene drive systems to manipulate populations of malaria vectors is currently being investigated as a method of malaria control. One potential system uses driving endonuclease genes (DEGs) to spread genes that impose a genetic load. Previously, models have shown that the introduction of DEG-bearing mosquitoes could suppress or even extinguish vector populations in spatially-heterogeneous environments which were constant over time. In this study, a stochastic spatially-explicit model of mosquito ecology\u00a0is combined with a rainfall model which enables the generation of a variety of daily precipitation patterns. The model is then used to investigate how releases of a DEG that cause a bias in population sex ratios towards males are affected by seasonal or random rainfall patterns. The parameters of the rainfall model are then fitted using data from Bamako, Mali, and Mbita, Kenya, to evaluate release strategies in similar climatic conditions.\nRESULTS: In landscapes with abundant resources and large mosquito populations the spread of a DEG is reliable, irrespective of variability in rainfall. This study thus focuses mainly on landscapes with low density mosquito populations where the spread of a DEG may be sensitive to variation in rainfall. It is found that an introduced DEG will spread into its target population more reliably in wet conditions, yet an established DEG will have more impact in dry conditions. In strongly seasonal environments, it is thus preferable to release DEGs at the onset of a wet season to maximize their spread before the following dry season. If the variability in rainfall has a substantial random component, there is a net increase in the probability that a DEG release will lead to population extinction, due to the increased impact of a DEG which manages to establish in these conditions. For Bamako, where annual rainfall patterns are characterized by a long dry season, it is optimal to release a DEG at the start of the wet season, where the population is growing fastest. By contrast release timing is of lower importance for the less seasonal Mbita.\nCONCLUSION: This analysis suggests that DEG based methods of malaria vector control can be effective in a wide range of climates. In environments with substantial temporal variation in rainfall, careful timing of releases which accounts for the temporal variation in population density can substantially improve the probability of mosquito suppression or extinction.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/s12936-018-2259-8", 
        "inLanguage": "en", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.2771493", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1030597", 
            "issn": [
              "1475-2875"
            ], 
            "name": "Malaria Journal", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "17"
          }
        ], 
        "keywords": [
          "endonuclease gene", 
          "population sex ratio", 
          "gene drive systems", 
          "mosquito populations", 
          "seasonal environments", 
          "dry season", 
          "genetic load", 
          "long dry season", 
          "population extinction", 
          "wet season", 
          "substantial random component", 
          "substantial temporal variation", 
          "variable environments", 
          "large mosquito populations", 
          "mosquito suppression", 
          "mosquito ecology", 
          "sex ratio", 
          "genes", 
          "malaria vectors", 
          "vector populations", 
          "mosquito vectors", 
          "deg", 
          "temporal variation", 
          "population density", 
          "similar climatic conditions", 
          "malaria vector control", 
          "release strategies", 
          "rainfall patterns", 
          "heterogeneous environments", 
          "climatic conditions", 
          "extinction", 
          "season", 
          "DEGs", 
          "daily precipitation patterns", 
          "annual rainfall pattern", 
          "explicit model", 
          "ecology", 
          "population", 
          "landscape", 
          "Mbita", 
          "abundant resources", 
          "dry conditions", 
          "precipitation patterns", 
          "mosquitoes", 
          "net increase", 
          "vector control", 
          "variation", 
          "patterns", 
          "vector", 
          "release", 
          "wide range", 
          "environment", 
          "spread", 
          "variability", 
          "rainfall", 
          "malaria control", 
          "low importance", 
          "timing", 
          "careful timing", 
          "suppression", 
          "climate", 
          "conditions", 
          "release timing", 
          "variety", 
          "wet conditions", 
          "males", 
          "control", 
          "components", 
          "importance", 
          "study", 
          "malaria", 
          "Mali", 
          "generation", 
          "analysis", 
          "impact", 
          "strategies", 
          "resources", 
          "Kenya", 
          "system", 
          "potential system", 
          "increase", 
          "model", 
          "more impact", 
          "Bamako", 
          "density", 
          "data", 
          "range", 
          "introduction", 
          "use", 
          "onset", 
          "probability", 
          "time", 
          "start", 
          "method", 
          "ratio", 
          "bias", 
          "target population", 
          "random component", 
          "parameters", 
          "load", 
          "drive system", 
          "rainfall model", 
          "DEG-bearing mosquitoes", 
          "extinguish vector populations", 
          "random rainfall patterns", 
          "low density mosquito populations", 
          "density mosquito populations", 
          "DEG release", 
          "contrast release timing", 
          "seasonal Mbita", 
          "suppress mosquito vectors"
        ], 
        "name": "The use of driving endonuclease genes to suppress mosquito vectors of malaria in temporally variable environments", 
        "pagination": "154", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1103128542"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s12936-018-2259-8"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "29618367"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s12936-018-2259-8", 
          "https://app.dimensions.ai/details/publication/pub.1103128542"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2021-11-01T18:33", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_766.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/s12936-018-2259-8"
      }
    ]
     

    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/s12936-018-2259-8'

    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/s12936-018-2259-8'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12936-018-2259-8'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12936-018-2259-8'


     

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

    321 TRIPLES      22 PREDICATES      167 URIs      143 LITERALS      21 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s12936-018-2259-8 schema:about N0abda7cc45854d41bf2de1734a896ca5
    2 N48fbe23ba7154dc0ac25da70b703f555
    3 N4c363cc34bb74690b2dc1cd6567da2c9
    4 N517db953f723482eb2f3dc4ae96390a1
    5 N5a8e5747e34b42feba4bfa3d8abb4c4b
    6 N644ac8e015fa421b864df317b7a7e970
    7 N6b54f38f3029494889ac52f70f8607a2
    8 N6f3db3548b32483f871ee2ab07d446ef
    9 N8c15fbea6ebe48dfb4191e9786fad8d5
    10 N963b792cdd154967b8e33b1df3e211bb
    11 N9f973706e3fd4f48ad7016d296a5e8db
    12 Nb1d9a6fa949f459d87093dc07dae9163
    13 Nc38764baed824e6bbae22548a45d784d
    14 Nf64cac38d12a4068915a28af858a2012
    15 anzsrc-for:06
    16 anzsrc-for:0604
    17 schema:author Nb0a2bfaffde14f91874e2959238e5905
    18 schema:citation sg:pub.10.1007/978-3-642-18948-7_6
    19 sg:pub.10.1038/232657a0
    20 sg:pub.10.1038/cr.2008.3
    21 sg:pub.10.1038/nature09937
    22 sg:pub.10.1038/nature13987
    23 sg:pub.10.1038/nbt.3439
    24 sg:pub.10.1038/nbt.3473
    25 sg:pub.10.1038/ncomms4977
    26 sg:pub.10.1186/1471-2148-11-184
    27 sg:pub.10.1186/1475-2875-10-151
    28 sg:pub.10.1186/1475-2875-10-378
    29 sg:pub.10.1186/1475-2875-6-10
    30 sg:pub.10.1186/1756-3305-6-14
    31 sg:pub.10.1186/s12915-017-0420-4
    32 sg:pub.10.1186/s12916-015-0384-6
    33 sg:pub.10.1186/s12936-015-0849-2
    34 schema:datePublished 2018-04-04
    35 schema:datePublishedReg 2018-04-04
    36 schema:description BACKGROUND: The use of gene drive systems to manipulate populations of malaria vectors is currently being investigated as a method of malaria control. One potential system uses driving endonuclease genes (DEGs) to spread genes that impose a genetic load. Previously, models have shown that the introduction of DEG-bearing mosquitoes could suppress or even extinguish vector populations in spatially-heterogeneous environments which were constant over time. In this study, a stochastic spatially-explicit model of mosquito ecology is combined with a rainfall model which enables the generation of a variety of daily precipitation patterns. The model is then used to investigate how releases of a DEG that cause a bias in population sex ratios towards males are affected by seasonal or random rainfall patterns. The parameters of the rainfall model are then fitted using data from Bamako, Mali, and Mbita, Kenya, to evaluate release strategies in similar climatic conditions. RESULTS: In landscapes with abundant resources and large mosquito populations the spread of a DEG is reliable, irrespective of variability in rainfall. This study thus focuses mainly on landscapes with low density mosquito populations where the spread of a DEG may be sensitive to variation in rainfall. It is found that an introduced DEG will spread into its target population more reliably in wet conditions, yet an established DEG will have more impact in dry conditions. In strongly seasonal environments, it is thus preferable to release DEGs at the onset of a wet season to maximize their spread before the following dry season. If the variability in rainfall has a substantial random component, there is a net increase in the probability that a DEG release will lead to population extinction, due to the increased impact of a DEG which manages to establish in these conditions. For Bamako, where annual rainfall patterns are characterized by a long dry season, it is optimal to release a DEG at the start of the wet season, where the population is growing fastest. By contrast release timing is of lower importance for the less seasonal Mbita. CONCLUSION: This analysis suggests that DEG based methods of malaria vector control can be effective in a wide range of climates. In environments with substantial temporal variation in rainfall, careful timing of releases which accounts for the temporal variation in population density can substantially improve the probability of mosquito suppression or extinction.
    37 schema:genre article
    38 schema:inLanguage en
    39 schema:isAccessibleForFree true
    40 schema:isPartOf Nb941a046aac549b2884493d2eaa8656c
    41 Nf8a70fea22b54b5db9915b3517e2ef9e
    42 sg:journal.1030597
    43 schema:keywords Bamako
    44 DEG release
    45 DEG-bearing mosquitoes
    46 DEGs
    47 Kenya
    48 Mali
    49 Mbita
    50 abundant resources
    51 analysis
    52 annual rainfall pattern
    53 bias
    54 careful timing
    55 climate
    56 climatic conditions
    57 components
    58 conditions
    59 contrast release timing
    60 control
    61 daily precipitation patterns
    62 data
    63 deg
    64 density
    65 density mosquito populations
    66 drive system
    67 dry conditions
    68 dry season
    69 ecology
    70 endonuclease gene
    71 environment
    72 explicit model
    73 extinction
    74 extinguish vector populations
    75 gene drive systems
    76 generation
    77 genes
    78 genetic load
    79 heterogeneous environments
    80 impact
    81 importance
    82 increase
    83 introduction
    84 landscape
    85 large mosquito populations
    86 load
    87 long dry season
    88 low density mosquito populations
    89 low importance
    90 malaria
    91 malaria control
    92 malaria vector control
    93 malaria vectors
    94 males
    95 method
    96 model
    97 more impact
    98 mosquito ecology
    99 mosquito populations
    100 mosquito suppression
    101 mosquito vectors
    102 mosquitoes
    103 net increase
    104 onset
    105 parameters
    106 patterns
    107 population
    108 population density
    109 population extinction
    110 population sex ratio
    111 potential system
    112 precipitation patterns
    113 probability
    114 rainfall
    115 rainfall model
    116 rainfall patterns
    117 random component
    118 random rainfall patterns
    119 range
    120 ratio
    121 release
    122 release strategies
    123 release timing
    124 resources
    125 season
    126 seasonal Mbita
    127 seasonal environments
    128 sex ratio
    129 similar climatic conditions
    130 spread
    131 start
    132 strategies
    133 study
    134 substantial random component
    135 substantial temporal variation
    136 suppress mosquito vectors
    137 suppression
    138 system
    139 target population
    140 temporal variation
    141 time
    142 timing
    143 use
    144 variability
    145 variable environments
    146 variation
    147 variety
    148 vector
    149 vector control
    150 vector populations
    151 wet conditions
    152 wet season
    153 wide range
    154 schema:name The use of driving endonuclease genes to suppress mosquito vectors of malaria in temporally variable environments
    155 schema:pagination 154
    156 schema:productId N4d7a3320f1de460b8a8d6936b171f087
    157 Ne18a2caaecf5450b8947c58fb69e9f41
    158 Nf0f1c198587f4642842e7e73d2acd22e
    159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103128542
    160 https://doi.org/10.1186/s12936-018-2259-8
    161 schema:sdDatePublished 2021-11-01T18:33
    162 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    163 schema:sdPublisher Nd7cd8fde7b43408a839d005674382cf1
    164 schema:url https://doi.org/10.1186/s12936-018-2259-8
    165 sgo:license sg:explorer/license/
    166 sgo:sdDataset articles
    167 rdf:type schema:ScholarlyArticle
    168 N0abda7cc45854d41bf2de1734a896ca5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    169 schema:name Insect Control
    170 rdf:type schema:DefinedTerm
    171 N1a110657e325471bb06674f7deb5aeb3 rdf:first sg:person.011640134634.35
    172 rdf:rest rdf:nil
    173 N48fbe23ba7154dc0ac25da70b703f555 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    174 schema:name Female
    175 rdf:type schema:DefinedTerm
    176 N4c363cc34bb74690b2dc1cd6567da2c9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    177 schema:name Mosquito Vectors
    178 rdf:type schema:DefinedTerm
    179 N4d7a3320f1de460b8a8d6936b171f087 schema:name pubmed_id
    180 schema:value 29618367
    181 rdf:type schema:PropertyValue
    182 N517db953f723482eb2f3dc4ae96390a1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    183 schema:name Population Density
    184 rdf:type schema:DefinedTerm
    185 N5a8e5747e34b42feba4bfa3d8abb4c4b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    186 schema:name Mali
    187 rdf:type schema:DefinedTerm
    188 N644ac8e015fa421b864df317b7a7e970 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    189 schema:name Insect Proteins
    190 rdf:type schema:DefinedTerm
    191 N68a2f8b522f34bf8b9d62e1c6e0effd5 rdf:first sg:person.0702016165.68
    192 rdf:rest N946bd8a9331042c3b1381428ab58a7aa
    193 N6b54f38f3029494889ac52f70f8607a2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    194 schema:name Endonucleases
    195 rdf:type schema:DefinedTerm
    196 N6f3db3548b32483f871ee2ab07d446ef schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    197 schema:name Anopheles
    198 rdf:type schema:DefinedTerm
    199 N8c15fbea6ebe48dfb4191e9786fad8d5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    200 schema:name Malaria
    201 rdf:type schema:DefinedTerm
    202 N946bd8a9331042c3b1381428ab58a7aa rdf:first sg:person.01142167260.64
    203 rdf:rest N1a110657e325471bb06674f7deb5aeb3
    204 N963b792cdd154967b8e33b1df3e211bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    205 schema:name Seasons
    206 rdf:type schema:DefinedTerm
    207 N9f973706e3fd4f48ad7016d296a5e8db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    208 schema:name Animals
    209 rdf:type schema:DefinedTerm
    210 Nb0a2bfaffde14f91874e2959238e5905 rdf:first sg:person.011703014040.81
    211 rdf:rest N68a2f8b522f34bf8b9d62e1c6e0effd5
    212 Nb1d9a6fa949f459d87093dc07dae9163 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    213 schema:name Models, Genetic
    214 rdf:type schema:DefinedTerm
    215 Nb941a046aac549b2884493d2eaa8656c schema:issueNumber 1
    216 rdf:type schema:PublicationIssue
    217 Nc38764baed824e6bbae22548a45d784d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    218 schema:name Male
    219 rdf:type schema:DefinedTerm
    220 Nd7cd8fde7b43408a839d005674382cf1 schema:name Springer Nature - SN SciGraph project
    221 rdf:type schema:Organization
    222 Ne18a2caaecf5450b8947c58fb69e9f41 schema:name dimensions_id
    223 schema:value pub.1103128542
    224 rdf:type schema:PropertyValue
    225 Nf0f1c198587f4642842e7e73d2acd22e schema:name doi
    226 schema:value 10.1186/s12936-018-2259-8
    227 rdf:type schema:PropertyValue
    228 Nf64cac38d12a4068915a28af858a2012 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    229 schema:name Kenya
    230 rdf:type schema:DefinedTerm
    231 Nf8a70fea22b54b5db9915b3517e2ef9e schema:volumeNumber 17
    232 rdf:type schema:PublicationVolume
    233 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    234 schema:name Biological Sciences
    235 rdf:type schema:DefinedTerm
    236 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    237 schema:name Genetics
    238 rdf:type schema:DefinedTerm
    239 sg:grant.2771493 http://pending.schema.org/fundedItem sg:pub.10.1186/s12936-018-2259-8
    240 rdf:type schema:MonetaryGrant
    241 sg:journal.1030597 schema:issn 1475-2875
    242 schema:name Malaria Journal
    243 schema:publisher Springer Nature
    244 rdf:type schema:Periodical
    245 sg:person.01142167260.64 schema:affiliation grid-institutes:grid.7445.2
    246 schema:familyName Burt
    247 schema:givenName Austin
    248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142167260.64
    249 rdf:type schema:Person
    250 sg:person.011640134634.35 schema:affiliation grid-institutes:grid.4991.5
    251 schema:familyName Godfray
    252 schema:givenName H. Charles J.
    253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011640134634.35
    254 rdf:type schema:Person
    255 sg:person.011703014040.81 schema:affiliation grid-institutes:grid.7445.2
    256 schema:familyName Lambert
    257 schema:givenName Ben
    258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011703014040.81
    259 rdf:type schema:Person
    260 sg:person.0702016165.68 schema:affiliation grid-institutes:grid.4991.5
    261 schema:familyName North
    262 schema:givenName Ace
    263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702016165.68
    264 rdf:type schema:Person
    265 sg:pub.10.1007/978-3-642-18948-7_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005447637
    266 https://doi.org/10.1007/978-3-642-18948-7_6
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1038/232657a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051726428
    269 https://doi.org/10.1038/232657a0
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1038/cr.2008.3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015186979
    272 https://doi.org/10.1038/cr.2008.3
    273 rdf:type schema:CreativeWork
    274 sg:pub.10.1038/nature09937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020125616
    275 https://doi.org/10.1038/nature09937
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1038/nature13987 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041901813
    278 https://doi.org/10.1038/nature13987
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1038/nbt.3439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012287729
    281 https://doi.org/10.1038/nbt.3439
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1038/nbt.3473 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021882586
    284 https://doi.org/10.1038/nbt.3473
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1038/ncomms4977 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031506350
    287 https://doi.org/10.1038/ncomms4977
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.1186/1471-2148-11-184 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022270010
    290 https://doi.org/10.1186/1471-2148-11-184
    291 rdf:type schema:CreativeWork
    292 sg:pub.10.1186/1475-2875-10-151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000115628
    293 https://doi.org/10.1186/1475-2875-10-151
    294 rdf:type schema:CreativeWork
    295 sg:pub.10.1186/1475-2875-10-378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036893759
    296 https://doi.org/10.1186/1475-2875-10-378
    297 rdf:type schema:CreativeWork
    298 sg:pub.10.1186/1475-2875-6-10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018791831
    299 https://doi.org/10.1186/1475-2875-6-10
    300 rdf:type schema:CreativeWork
    301 sg:pub.10.1186/1756-3305-6-14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020878235
    302 https://doi.org/10.1186/1756-3305-6-14
    303 rdf:type schema:CreativeWork
    304 sg:pub.10.1186/s12915-017-0420-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091568342
    305 https://doi.org/10.1186/s12915-017-0420-4
    306 rdf:type schema:CreativeWork
    307 sg:pub.10.1186/s12916-015-0384-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002871469
    308 https://doi.org/10.1186/s12916-015-0384-6
    309 rdf:type schema:CreativeWork
    310 sg:pub.10.1186/s12936-015-0849-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019921551
    311 https://doi.org/10.1186/s12936-015-0849-2
    312 rdf:type schema:CreativeWork
    313 grid-institutes:grid.4991.5 schema:alternateName Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS UK
    314 schema:name Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS UK
    315 rdf:type schema:Organization
    316 grid-institutes:grid.7445.2 schema:alternateName Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, St. Mary’s Campus, Norfolk Place, London, W2 1PG UK
    317 Department of Life Sciences, Imperial College London, Silwood Park, Ascot, Berks, SL5 7PY UK
    318 schema:name Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, St. Mary’s Campus, Norfolk Place, London, W2 1PG UK
    319 Department of Life Sciences, Imperial College London, Silwood Park, Ascot, Berks, SL5 7PY UK
    320 Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS UK
    321 rdf:type schema:Organization
     




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


    ...