Modelling evolution of virulence in populations with a distributed parasite load. View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-10

AUTHORS

Simran K Sandhu, Andrew Yu Morozov, József Z Farkas

ABSTRACT

Modelling evolution of virulence in host-parasite systems is an actively developing area of research with ever-growing literature. However, most of the existing studies overlook the fact that individuals within an infected population may have a variable infection load, i.e. infected populations are naturally structured with respect to the parasite burden. Empirical data suggests that the mortality and infectiousness of individuals can strongly depend on their infection load; moreover, the shape of distribution of infection load may vary on ecological and evolutionary time scales. Here we show that distributed infection load may have important consequences for the eventual evolution of virulence as compared to a similar model without structuring. Mathematically, we consider an SI model, where the dynamics of the infected subpopulation is described by a von Förster-type equation, in which the infection load plays the role of age. We implement the adaptive dynamics framework to predict evolutionary outcomes in this model. We demonstrate that for simple trade-off functions between virulence, disease transmission and parasite growth rates, multiple evolutionary attractors are possible. Interestingly, unlike in the case of unstructured models, achieving an evolutionary stable strategy becomes possible even for a variation of a single ecological parameter (the parasite growth rate) and keeping the other parameters constant. We conclude that evolution in disease-structured populations is strongly mediated by alterations in the overall shape of the parasite load distribution. More... »

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00285-019-01351-6

DOI

http://dx.doi.org/10.1007/s00285-019-01351-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113356144

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30972437


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 Leicester", 
          "id": "https://www.grid.ac/institutes/grid.9918.9", 
          "name": [
            "Department of Mathematics, University of Leicester, Leicester, LE1 7RH, UK."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sandhu", 
        "givenName": "Simran K", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Leicester", 
          "id": "https://www.grid.ac/institutes/grid.9918.9", 
          "name": [
            "Department of Mathematics, University of Leicester, Leicester, LE1 7RH, UK. am379@le.ac.uk."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morozov", 
        "givenName": "Andrew Yu", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Stirling", 
          "id": "https://www.grid.ac/institutes/grid.11918.30", 
          "name": [
            "Division of Computing Science and Mathematics, University of Stirling, Stirling, FK9 4LA, UK."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Farkas", 
        "givenName": "J\u00f3zsef Z", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1017/s0031182006000618", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000263878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-78911-6_9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000348498", 
          "https://doi.org/10.1007/978-3-540-78911-6_9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.dsr.2006.05.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002963483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0966-842x(02)00003-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003348716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0966-842x(02)00003-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003348716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/246015a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005206609", 
          "https://doi.org/10.1038/246015a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00036810701545634", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005258557"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511525728.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005591446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4899-7612-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005758969", 
          "https://doi.org/10.1007/978-1-4899-7612-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4899-7612-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005758969", 
          "https://doi.org/10.1007/978-1-4899-7612-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11117-009-0033-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006750306", 
          "https://doi.org/10.1007/s11117-009-0033-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11117-009-0033-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006750306", 
          "https://doi.org/10.1007/s11117-009-0033-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/17513758.2010.519404", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006805620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tpb.2007.03.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009091811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nonrwa.2016.01.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010265240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1006554906681", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010444050", 
          "https://doi.org/10.1023/a:1006554906681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0025-5564(94)90025-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014982528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0031182000055360", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016856504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0031182000055360", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016856504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0169-5347(92)90073-k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018112894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bfb0089647", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021101449", 
          "https://doi.org/10.1007/bfb0089647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bfb0089647", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021101449", 
          "https://doi.org/10.1007/bfb0089647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00036810903208122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021309384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0040-5809(89)90025-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022162499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jtbi.2007.10.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023107620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolmodel.2005.05.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023293036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolmodel.2005.05.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023293036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0025-5564(02)00096-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025441350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0966-842x(97)81772-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026026625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspb.1997.0136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026291853"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/ppa.12134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027419653"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.meegid.2012.12.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028593146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms7278", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028755670", 
          "https://doi.org/10.1038/ncomms7278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-51483-8_3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033694495", 
          "https://doi.org/10.1007/978-3-642-51483-8_3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/g4030304", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036641739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01237642", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039513583", 
          "https://doi.org/10.1007/bf01237642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jtbi.2012.04.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040222510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jtbi.2012.04.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040222510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-5193(83)90201-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040782505"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1420-9101.2008.01658.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043631477"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00285-010-0340-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048405563", 
          "https://doi.org/10.1007/s00285-010-0340-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-5193(05)80572-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049058577"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/ele.12249", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052655000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-13159-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052748812", 
          "https://doi.org/10.1007/978-3-662-13159-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-13159-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052748812", 
          "https://doi.org/10.1007/978-3-662-13159-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/285203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058595326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/286089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058596212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/424762", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058713911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.78.2024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060814875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.78.2024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060814875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/130931199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062871100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1938472", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069662382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/5623", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070641080"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3934/cpaa.2009.8.1825", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071731552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10884-017-9611-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091376263", 
          "https://doi.org/10.1007/s10884-017-9611-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/1.9781611970005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098553010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tree.2018.02.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103262068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tree.2018.02.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103262068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/mmnp/2018036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104185888"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511525728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109386334"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04-10", 
    "datePublishedReg": "2019-04-10", 
    "description": "Modelling evolution of virulence in host-parasite systems is an actively developing area of research with ever-growing literature. However, most of the existing studies overlook the fact that individuals within an infected population may have a variable infection load, i.e. infected populations are naturally structured with respect to the parasite burden. Empirical data suggests that the mortality and infectiousness of individuals can strongly depend on their infection load; moreover, the shape of distribution of infection load may vary on ecological and evolutionary time scales. Here we show that distributed infection load may have important consequences for the eventual evolution of virulence as compared to a similar model without structuring. Mathematically, we consider an SI model, where the dynamics of the infected subpopulation is described by a von F\u00f6rster-type equation, in which the infection load plays the role of age. We implement the adaptive dynamics framework to predict evolutionary outcomes in this model. We demonstrate that for simple trade-off functions between virulence, disease transmission and parasite growth rates, multiple evolutionary attractors are possible. Interestingly, unlike in the case of unstructured models, achieving an evolutionary stable strategy becomes possible even for a variation of a single ecological parameter (the parasite growth rate) and keeping the other parameters constant. We conclude that evolution in disease-structured populations is strongly mediated by alterations in the overall shape of the parasite load distribution.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00285-019-01351-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1081642", 
        "issn": [
          "0303-6812", 
          "1432-1416"
        ], 
        "name": "Journal of Mathematical Biology", 
        "type": "Periodical"
      }
    ], 
    "name": "Modelling evolution of virulence in populations with a distributed parasite load.", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00285-019-01351-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113356144"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7502105"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30972437"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00285-019-01351-6", 
      "https://app.dimensions.ai/details/publication/pub.1113356144"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T09:22", 
    "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/v90/0000000376_0000000376/records_56182_00000006.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00285-019-01351-6"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00285-019-01351-6'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00285-019-01351-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00285-019-01351-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00285-019-01351-6'


 

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

235 TRIPLES      20 PREDICATES      74 URIs      16 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00285-019-01351-6 schema:about anzsrc-for:11
2 anzsrc-for:1108
3 schema:author N73836b7f70ca471f8f03919d397ca6ab
4 schema:citation sg:pub.10.1007/978-1-4899-7612-3
5 sg:pub.10.1007/978-3-540-78911-6_9
6 sg:pub.10.1007/978-3-642-51483-8_3
7 sg:pub.10.1007/978-3-662-13159-6
8 sg:pub.10.1007/bf01237642
9 sg:pub.10.1007/bfb0089647
10 sg:pub.10.1007/s00285-010-0340-1
11 sg:pub.10.1007/s10884-017-9611-5
12 sg:pub.10.1007/s11117-009-0033-4
13 sg:pub.10.1023/a:1006554906681
14 sg:pub.10.1038/246015a0
15 sg:pub.10.1038/ncomms7278
16 https://doi.org/10.1016/0022-5193(83)90201-1
17 https://doi.org/10.1016/0025-5564(94)90025-6
18 https://doi.org/10.1016/0040-5809(89)90025-7
19 https://doi.org/10.1016/0169-5347(92)90073-k
20 https://doi.org/10.1016/j.dsr.2006.05.009
21 https://doi.org/10.1016/j.ecolmodel.2005.05.007
22 https://doi.org/10.1016/j.jtbi.2007.10.009
23 https://doi.org/10.1016/j.jtbi.2012.04.023
24 https://doi.org/10.1016/j.meegid.2012.12.031
25 https://doi.org/10.1016/j.nonrwa.2016.01.014
26 https://doi.org/10.1016/j.tpb.2007.03.006
27 https://doi.org/10.1016/j.tree.2018.02.004
28 https://doi.org/10.1016/s0022-5193(05)80572-7
29 https://doi.org/10.1016/s0025-5564(02)00096-2
30 https://doi.org/10.1016/s0966-842x(02)00003-3
31 https://doi.org/10.1016/s0966-842x(97)81772-6
32 https://doi.org/10.1017/cbo9780511525728
33 https://doi.org/10.1017/cbo9780511525728.014
34 https://doi.org/10.1017/s0031182000055360
35 https://doi.org/10.1017/s0031182006000618
36 https://doi.org/10.1051/mmnp/2018036
37 https://doi.org/10.1080/00036810701545634
38 https://doi.org/10.1080/00036810903208122
39 https://doi.org/10.1080/17513758.2010.519404
40 https://doi.org/10.1086/285203
41 https://doi.org/10.1086/286089
42 https://doi.org/10.1086/424762
43 https://doi.org/10.1098/rspb.1997.0136
44 https://doi.org/10.1103/physrevlett.78.2024
45 https://doi.org/10.1111/ele.12249
46 https://doi.org/10.1111/j.1420-9101.2008.01658.x
47 https://doi.org/10.1111/ppa.12134
48 https://doi.org/10.1137/1.9781611970005
49 https://doi.org/10.1137/130931199
50 https://doi.org/10.2307/1938472
51 https://doi.org/10.2307/5623
52 https://doi.org/10.3390/g4030304
53 https://doi.org/10.3934/cpaa.2009.8.1825
54 schema:datePublished 2019-04-10
55 schema:datePublishedReg 2019-04-10
56 schema:description Modelling evolution of virulence in host-parasite systems is an actively developing area of research with ever-growing literature. However, most of the existing studies overlook the fact that individuals within an infected population may have a variable infection load, i.e. infected populations are naturally structured with respect to the parasite burden. Empirical data suggests that the mortality and infectiousness of individuals can strongly depend on their infection load; moreover, the shape of distribution of infection load may vary on ecological and evolutionary time scales. Here we show that distributed infection load may have important consequences for the eventual evolution of virulence as compared to a similar model without structuring. Mathematically, we consider an SI model, where the dynamics of the infected subpopulation is described by a von Förster-type equation, in which the infection load plays the role of age. We implement the adaptive dynamics framework to predict evolutionary outcomes in this model. We demonstrate that for simple trade-off functions between virulence, disease transmission and parasite growth rates, multiple evolutionary attractors are possible. Interestingly, unlike in the case of unstructured models, achieving an evolutionary stable strategy becomes possible even for a variation of a single ecological parameter (the parasite growth rate) and keeping the other parameters constant. We conclude that evolution in disease-structured populations is strongly mediated by alterations in the overall shape of the parasite load distribution.
57 schema:genre research_article
58 schema:inLanguage en
59 schema:isAccessibleForFree false
60 schema:isPartOf sg:journal.1081642
61 schema:name Modelling evolution of virulence in populations with a distributed parasite load.
62 schema:productId N2a1b672219f24235a205f7b0b3c4c6c6
63 N4c1184fe707140fe907ba678d6a9c8df
64 Na3cb617f55ed419caead21a85c83049e
65 Nc2cdc478b90846709b667bc674603223
66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113356144
67 https://doi.org/10.1007/s00285-019-01351-6
68 schema:sdDatePublished 2019-04-15T09:22
69 schema:sdLicense https://scigraph.springernature.com/explorer/license/
70 schema:sdPublisher N0d0f911d4fad4f2aadc35d5f2f4241ec
71 schema:url http://link.springer.com/10.1007/s00285-019-01351-6
72 sgo:license sg:explorer/license/
73 sgo:sdDataset articles
74 rdf:type schema:ScholarlyArticle
75 N0d0f911d4fad4f2aadc35d5f2f4241ec schema:name Springer Nature - SN SciGraph project
76 rdf:type schema:Organization
77 N10056fda65bd4529b44aff705a9c72a5 schema:affiliation https://www.grid.ac/institutes/grid.11918.30
78 schema:familyName Farkas
79 schema:givenName József Z
80 rdf:type schema:Person
81 N2a1b672219f24235a205f7b0b3c4c6c6 schema:name nlm_unique_id
82 schema:value 7502105
83 rdf:type schema:PropertyValue
84 N4b25316c0dbc40d68d0260c7ceb24735 schema:affiliation https://www.grid.ac/institutes/grid.9918.9
85 schema:familyName Morozov
86 schema:givenName Andrew Yu
87 rdf:type schema:Person
88 N4c1184fe707140fe907ba678d6a9c8df schema:name doi
89 schema:value 10.1007/s00285-019-01351-6
90 rdf:type schema:PropertyValue
91 N6db8d17a0aa0465ab2d2900dbe2c55cd schema:affiliation https://www.grid.ac/institutes/grid.9918.9
92 schema:familyName Sandhu
93 schema:givenName Simran K
94 rdf:type schema:Person
95 N73836b7f70ca471f8f03919d397ca6ab rdf:first N6db8d17a0aa0465ab2d2900dbe2c55cd
96 rdf:rest N925010a4d74d4d9ebca0a3efbd6e1640
97 N7bfc94bdb45149b5a0bc1b8d4c4f35fe rdf:first N10056fda65bd4529b44aff705a9c72a5
98 rdf:rest rdf:nil
99 N925010a4d74d4d9ebca0a3efbd6e1640 rdf:first N4b25316c0dbc40d68d0260c7ceb24735
100 rdf:rest N7bfc94bdb45149b5a0bc1b8d4c4f35fe
101 Na3cb617f55ed419caead21a85c83049e schema:name pubmed_id
102 schema:value 30972437
103 rdf:type schema:PropertyValue
104 Nc2cdc478b90846709b667bc674603223 schema:name dimensions_id
105 schema:value pub.1113356144
106 rdf:type schema:PropertyValue
107 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
108 schema:name Medical and Health Sciences
109 rdf:type schema:DefinedTerm
110 anzsrc-for:1108 schema:inDefinedTermSet anzsrc-for:
111 schema:name Medical Microbiology
112 rdf:type schema:DefinedTerm
113 sg:journal.1081642 schema:issn 0303-6812
114 1432-1416
115 schema:name Journal of Mathematical Biology
116 rdf:type schema:Periodical
117 sg:pub.10.1007/978-1-4899-7612-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005758969
118 https://doi.org/10.1007/978-1-4899-7612-3
119 rdf:type schema:CreativeWork
120 sg:pub.10.1007/978-3-540-78911-6_9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000348498
121 https://doi.org/10.1007/978-3-540-78911-6_9
122 rdf:type schema:CreativeWork
123 sg:pub.10.1007/978-3-642-51483-8_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033694495
124 https://doi.org/10.1007/978-3-642-51483-8_3
125 rdf:type schema:CreativeWork
126 sg:pub.10.1007/978-3-662-13159-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052748812
127 https://doi.org/10.1007/978-3-662-13159-6
128 rdf:type schema:CreativeWork
129 sg:pub.10.1007/bf01237642 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039513583
130 https://doi.org/10.1007/bf01237642
131 rdf:type schema:CreativeWork
132 sg:pub.10.1007/bfb0089647 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021101449
133 https://doi.org/10.1007/bfb0089647
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/s00285-010-0340-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048405563
136 https://doi.org/10.1007/s00285-010-0340-1
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/s10884-017-9611-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091376263
139 https://doi.org/10.1007/s10884-017-9611-5
140 rdf:type schema:CreativeWork
141 sg:pub.10.1007/s11117-009-0033-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006750306
142 https://doi.org/10.1007/s11117-009-0033-4
143 rdf:type schema:CreativeWork
144 sg:pub.10.1023/a:1006554906681 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010444050
145 https://doi.org/10.1023/a:1006554906681
146 rdf:type schema:CreativeWork
147 sg:pub.10.1038/246015a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005206609
148 https://doi.org/10.1038/246015a0
149 rdf:type schema:CreativeWork
150 sg:pub.10.1038/ncomms7278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028755670
151 https://doi.org/10.1038/ncomms7278
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/0022-5193(83)90201-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040782505
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/0025-5564(94)90025-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014982528
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/0040-5809(89)90025-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022162499
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/0169-5347(92)90073-k schema:sameAs https://app.dimensions.ai/details/publication/pub.1018112894
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.dsr.2006.05.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002963483
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.ecolmodel.2005.05.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023293036
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.jtbi.2007.10.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023107620
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.jtbi.2012.04.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040222510
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.meegid.2012.12.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028593146
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.nonrwa.2016.01.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010265240
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.tpb.2007.03.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009091811
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.tree.2018.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103262068
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/s0022-5193(05)80572-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049058577
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/s0025-5564(02)00096-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025441350
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/s0966-842x(02)00003-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003348716
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/s0966-842x(97)81772-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026026625
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1017/cbo9780511525728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109386334
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1017/cbo9780511525728.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005591446
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1017/s0031182000055360 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016856504
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1017/s0031182006000618 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000263878
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1051/mmnp/2018036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104185888
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1080/00036810701545634 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005258557
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1080/00036810903208122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021309384
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1080/17513758.2010.519404 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006805620
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1086/285203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058595326
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1086/286089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058596212
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1086/424762 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058713911
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1098/rspb.1997.0136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026291853
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1103/physrevlett.78.2024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060814875
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1111/ele.12249 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052655000
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1111/j.1420-9101.2008.01658.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043631477
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1111/ppa.12134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027419653
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1137/1.9781611970005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098553010
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1137/130931199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062871100
220 rdf:type schema:CreativeWork
221 https://doi.org/10.2307/1938472 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069662382
222 rdf:type schema:CreativeWork
223 https://doi.org/10.2307/5623 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070641080
224 rdf:type schema:CreativeWork
225 https://doi.org/10.3390/g4030304 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036641739
226 rdf:type schema:CreativeWork
227 https://doi.org/10.3934/cpaa.2009.8.1825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071731552
228 rdf:type schema:CreativeWork
229 https://www.grid.ac/institutes/grid.11918.30 schema:alternateName University of Stirling
230 schema:name Division of Computing Science and Mathematics, University of Stirling, Stirling, FK9 4LA, UK.
231 rdf:type schema:Organization
232 https://www.grid.ac/institutes/grid.9918.9 schema:alternateName University of Leicester
233 schema:name Department of Mathematics, University of Leicester, Leicester, LE1 7RH, UK.
234 Department of Mathematics, University of Leicester, Leicester, LE1 7RH, UK. am379@le.ac.uk.
235 rdf:type schema:Organization
 




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


...