Complete mtDNA genomes of Anopheles darlingi and an approach to anopheline divergence time View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-05-14

AUTHORS

Marta Moreno, Osvaldo Marinotti, Jaroslaw Krzywinski, Wanderli P Tadei, Anthony A James, Nicole L Achee, Jan E Conn

ABSTRACT

BackgroundThe complete sequences of the mitochondrial genomes (mtDNA) of members of the northern and southern genotypes of Anopheles (Nyssorhynchus) darlingi were used for comparative studies to estimate the time to the most recent common ancestor for modern anophelines, to evaluate differentiation within this taxon, and to seek evidence of incipient speciation.MethodsThe mtDNAs were sequenced from mosquitoes from Belize and Brazil and comparative analyses of structure and base composition, among others, were performed. A maximum likelihood approach linked with phylogenetic information was employed to detect evidence of selection and a Bayesian approach was used to date the split between the subgenus Nyssorhynchus and other Anopheles subgenera.ResultsThe comparison of mtDNA sequences within the Anopheles darlingi taxon does not provide sufficient resolution to establish different units of speciation within the species. In addition, no evidence of positive selection in any protein-coding gene of the mtDNA was detected, and purifying selection likely is the basis for this lack of diversity. Bayesian analysis supports the conclusion that the most recent ancestor of Nyssorhynchus and Anopheles+Cellia was extant ~94 million years ago.ConclusionAnalyses of mtDNA genomes of Anopheles darlingi do not provide support for speciation in the taxon. The dates estimated for divergence among the anopheline groups tested is in agreement with the geological split of western Gondwana (95 mya), and provides additional support for explaining the absence of Cellia in the New World, and Nyssorhynchus in the Afro-Eurasian continents. More... »

PAGES

127

References to SciGraph publications

  • 2004-02. Genes and speciation in NATURE REVIEWS GENETICS
  • 2007-05-30. The biogeography and population genetics of neotropical vector species in HEREDITY
  • 2008. Sequin in ENCYCLOPEDIA OF GENETICS, GENOMICS, PROTEOMICS AND INFORMATICS
  • 1995-07. Deducing the pattern of arthropod phytogeny from mitochondrial DNA rearrangements in NATURE
  • 2007-11-08. BEAST: Bayesian evolutionary analysis by sampling trees in BMC ECOLOGY AND EVOLUTION
  • 2005-08-09. The complete mitochondrial genome of the stomatopod crustacean Squilla mantis in BMC GENOMICS
  • 2007-08-30. Phylogenomic analysis of natural selection pressure in Streptococcus genomes in BMC ECOLOGY AND EVOLUTION
  • 2007-04-24. The Mitochondrial DNA Control Region of Muscidae Flies: Evolution and Structural Conservation in a Dipteran Context in JOURNAL OF MOLECULAR EVOLUTION
  • 1995-09. Patterns of nucleotide composition at fourfold degenerate sites of animal mitochondrial genomes in JOURNAL OF MOLECULAR EVOLUTION
  • 1985-11. The mitochondrial DNA molecule ofDrosophila yakuba: Nucleotide sequence, gene organization, and genetic code in JOURNAL OF MOLECULAR EVOLUTION
  • 2006-03-01. Molecular population genetics of the malaria vector Anopheles darlingi in Central and South America in HEREDITY
  • 2009-12-22. Phylogenetic analysis and temporal diversification of mosquitoes (Diptera: Culicidae) based on nuclear genes and morphology in BMC ECOLOGY AND EVOLUTION
  • 2008-03-26. Microsatellite data suggest significant population structure and differentiation within the malaria vector Anopheles darlingi in Central and South America in BMC ECOLOGY AND EVOLUTION
  • 1981-04. tRNA punctuation model of RNA processing in human mitochondria in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1475-2875-9-127

    DOI

    http://dx.doi.org/10.1186/1475-2875-9-127

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1029474023

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/20470395


    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": "Base Composition", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Bayes Theorem", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Belize", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Brazil", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "DNA, Mitochondrial", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genes, Insect", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genetic Speciation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome, Mitochondrial", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genotype", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Markov Chains", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Monte Carlo Method", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Phylogeny", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Polymerase Chain Reaction", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Polymorphism, Restriction Fragment Length", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sequence Analysis, DNA", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Species Specificity", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Time Factors", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "New York State Department of Health, Wadsworth Center, Griffin Laboratory, 5668 State Farm Road, 12159, Slingerlands, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.465543.5", 
              "name": [
                "New York State Department of Health, Wadsworth Center, Griffin Laboratory, 5668 State Farm Road, 12159, Slingerlands, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Moreno", 
            "givenName": "Marta", 
            "id": "sg:person.01311002753.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01311002753.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Molecular Biology and Biochemistry, University of California, Irvine, CA, USA", 
              "id": "http://www.grid.ac/institutes/grid.266093.8", 
              "name": [
                "Department of Molecular Biology and Biochemistry, University of California, Irvine, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Marinotti", 
            "givenName": "Osvaldo", 
            "id": "sg:person.01323226301.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323226301.01"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Vector Group, Liverpool School of Tropical Medicine, Liverpool, UK", 
              "id": "http://www.grid.ac/institutes/grid.48004.38", 
              "name": [
                "Vector Group, Liverpool School of Tropical Medicine, Liverpool, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Krzywinski", 
            "givenName": "Jaroslaw", 
            "id": "sg:person.01367635300.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367635300.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Instituto Nacional de Pesquisas da Amazonia, Manaus, Amazonas, Brazil", 
              "id": "http://www.grid.ac/institutes/grid.419220.c", 
              "name": [
                "Instituto Nacional de Pesquisas da Amazonia, Manaus, Amazonas, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tadei", 
            "givenName": "Wanderli P", 
            "id": "sg:person.01067734502.61", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067734502.61"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Microbiology and Molecular Genetics, University of California, Irvine, CA, USA", 
              "id": "http://www.grid.ac/institutes/grid.266093.8", 
              "name": [
                "Department of Molecular Biology and Biochemistry, University of California, Irvine, CA, USA", 
                "Department of Microbiology and Molecular Genetics, University of California, Irvine, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "James", 
            "givenName": "Anthony A", 
            "id": "sg:person.01360526432.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360526432.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Preventive Medicine and Biometrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA", 
              "id": "http://www.grid.ac/institutes/grid.265436.0", 
              "name": [
                "Department of Preventive Medicine and Biometrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Achee", 
            "givenName": "Nicole L", 
            "id": "sg:person.0600606413.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600606413.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Biomedical Sciences, School of Public Health, State University of New York-Albany, Empire Plaza, 12201, Albany, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.265850.c", 
              "name": [
                "New York State Department of Health, Wadsworth Center, Griffin Laboratory, 5668 State Farm Road, 12159, Slingerlands, NY, USA", 
                "Department of Biomedical Sciences, School of Public Health, State University of New York-Albany, Empire Plaza, 12201, Albany, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Conn", 
            "givenName": "Jan E", 
            "id": "sg:person.01045223030.73", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045223030.73"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1186/1472-6785-8-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042463726", 
              "https://doi.org/10.1186/1472-6785-8-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4020-6754-9_15411", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005398842", 
              "https://doi.org/10.1007/978-1-4020-6754-9_15411"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01215182", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028965019", 
              "https://doi.org/10.1007/bf01215182"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02099755", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042904557", 
              "https://doi.org/10.1007/bf02099755"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/290470a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022113793", 
              "https://doi.org/10.1038/290470a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2148-9-298", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039956027", 
              "https://doi.org/10.1186/1471-2148-9-298"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-6-105", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030382145", 
              "https://doi.org/10.1186/1471-2164-6-105"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00239-006-0099-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000812942", 
              "https://doi.org/10.1007/s00239-006-0099-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.hdy.6800805", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004494176", 
              "https://doi.org/10.1038/sj.hdy.6800805"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2148-7-154", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029370575", 
              "https://doi.org/10.1186/1471-2148-7-154"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2148-7-214", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010584451", 
              "https://doi.org/10.1186/1471-2148-7-214"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.hdy.6801002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040597568", 
              "https://doi.org/10.1038/sj.hdy.6801002"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/376163a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012003076", 
              "https://doi.org/10.1038/376163a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg1269", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011169781", 
              "https://doi.org/10.1038/nrg1269"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2010-05-14", 
        "datePublishedReg": "2010-05-14", 
        "description": "BackgroundThe complete sequences of the mitochondrial genomes (mtDNA) of members of the northern and southern genotypes of Anopheles (Nyssorhynchus) darlingi were used for comparative studies to estimate the time to the most recent common ancestor for modern anophelines, to evaluate differentiation within this taxon, and to seek evidence of incipient speciation.MethodsThe mtDNAs were sequenced from mosquitoes from Belize and Brazil and comparative analyses of structure and base composition, among others, were performed. A maximum likelihood approach linked with phylogenetic information was employed to detect evidence of selection and a Bayesian approach was used to date the split between the subgenus Nyssorhynchus and other Anopheles subgenera.ResultsThe comparison of mtDNA sequences within the Anopheles darlingi taxon does not provide sufficient resolution to establish different units of speciation within the species. In addition, no evidence of positive selection in any protein-coding gene of the mtDNA was detected, and purifying selection likely is the basis for this lack of diversity. Bayesian analysis supports the conclusion that the most recent ancestor of Nyssorhynchus and Anopheles+Cellia was extant ~94 million years ago.ConclusionAnalyses of mtDNA genomes of Anopheles darlingi do not provide support for speciation in the taxon. The dates estimated for divergence among the anopheline groups tested is in agreement with the geological split of western Gondwana (95 mya), and provides additional support for explaining the absence of Cellia in the New World, and Nyssorhynchus in the Afro-Eurasian continents.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/1475-2875-9-127", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.2456106", 
            "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": "9"
          }
        ], 
        "keywords": [
          "mtDNA genome", 
          "Anopheles darlingi", 
          "protein-coding genes", 
          "complete mtDNA genomes", 
          "evidence of selection", 
          "recent common ancestor", 
          "incipient speciation", 
          "mitochondrial genome", 
          "divergence times", 
          "phylogenetic information", 
          "mtDNA sequences", 
          "common ancestor", 
          "positive selection", 
          "Anopheles subgenera", 
          "recent ancestor", 
          "complete sequence", 
          "southern genotypes", 
          "base composition", 
          "subgenus Nyssorhynchus", 
          "genome", 
          "Nyssorhynchus", 
          "Afro-Eurasian continent", 
          "taxa", 
          "speciation", 
          "ancestor", 
          "darlingi", 
          "Bayesian analysis", 
          "sequence", 
          "New World", 
          "Cellia", 
          "mtDNAs", 
          "mtDNA", 
          "subgenera", 
          "maximum likelihood approach", 
          "genes", 
          "western Gondwana", 
          "species", 
          "diversity", 
          "selection", 
          "Anopheles", 
          "divergence", 
          "differentiation", 
          "comparative analysis", 
          "anophelines", 
          "mosquitoes", 
          "Belize", 
          "genotypes", 
          "sufficient resolution", 
          "lack of diversity", 
          "likelihood approach", 
          "members", 
          "evidence", 
          "split", 
          "additional support", 
          "Brazil", 
          "absence", 
          "Gondwana", 
          "analysis", 
          "composition", 
          "continent", 
          "basis", 
          "Bayesian approach", 
          "date", 
          "structure", 
          "addition", 
          "comparative study", 
          "approach", 
          "lack", 
          "study", 
          "resolution", 
          "information", 
          "comparison", 
          "time", 
          "group", 
          "world", 
          "units", 
          "conclusion", 
          "years", 
          "support", 
          "different units", 
          "agreement"
        ], 
        "name": "Complete mtDNA genomes of Anopheles darlingi and an approach to anopheline divergence time", 
        "pagination": "127", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1029474023"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/1475-2875-9-127"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "20470395"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/1475-2875-9-127", 
          "https://app.dimensions.ai/details/publication/pub.1029474023"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:28", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_512.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/1475-2875-9-127"
      }
    ]
     

    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.10.1186/1475-2875-9-127'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1475-2875-9-127'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1475-2875-9-127'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1475-2875-9-127'


     

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

    339 TRIPLES      21 PREDICATES      140 URIs      118 LITERALS      27 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/1475-2875-9-127 schema:about N15bad0f7006d4ba68f140e714f0cd3cd
    2 N17bec3d3e0134adba405d8e89385e2d6
    3 N3b123bcae5244500846a93f94287f966
    4 N3b3515bac41f422db8dd335996e3f8f8
    5 N43af3e48b03c48f1a1af25da9470c8b6
    6 N62ee7d174b484951a6ff831de1f8619c
    7 N6732818e94c44d0b9a53ddf2cb110684
    8 N9821b987d13d456a9a33280b7e9cae9d
    9 N9ae249928256479da1bcc9978f17d679
    10 Na1f96558958248b18cfbf9fd5780732a
    11 Nac2ec079a51a44f788f5267099c25a53
    12 Nb52e5c0ad7114bf8b78c8cc49dc4efc0
    13 Nb57a5c42844e45f58426c46897f0a9df
    14 Nbf315fb9f8e441899bb0ed02b61ce5e8
    15 Nc283829c429a4c7ca9398ace66ec3d84
    16 Nc8bf659d75d94fdab7e6f66c9bbd1fb1
    17 Ncf2cdf5ba3e046c4abdd41a0544ebc97
    18 Nd68bdec8fa664b7a9f2aad7b3070e701
    19 Ne034bc6edea841f2b5d70203f5c380b8
    20 Nee1d57daecdd4c11af94531296db1627
    21 anzsrc-for:06
    22 anzsrc-for:0604
    23 schema:author N45a6f400ff72456a80cb3afc34a5ab37
    24 schema:citation sg:pub.10.1007/978-1-4020-6754-9_15411
    25 sg:pub.10.1007/bf01215182
    26 sg:pub.10.1007/bf02099755
    27 sg:pub.10.1007/s00239-006-0099-6
    28 sg:pub.10.1038/290470a0
    29 sg:pub.10.1038/376163a0
    30 sg:pub.10.1038/nrg1269
    31 sg:pub.10.1038/sj.hdy.6800805
    32 sg:pub.10.1038/sj.hdy.6801002
    33 sg:pub.10.1186/1471-2148-7-154
    34 sg:pub.10.1186/1471-2148-7-214
    35 sg:pub.10.1186/1471-2148-9-298
    36 sg:pub.10.1186/1471-2164-6-105
    37 sg:pub.10.1186/1472-6785-8-3
    38 schema:datePublished 2010-05-14
    39 schema:datePublishedReg 2010-05-14
    40 schema:description BackgroundThe complete sequences of the mitochondrial genomes (mtDNA) of members of the northern and southern genotypes of Anopheles (Nyssorhynchus) darlingi were used for comparative studies to estimate the time to the most recent common ancestor for modern anophelines, to evaluate differentiation within this taxon, and to seek evidence of incipient speciation.MethodsThe mtDNAs were sequenced from mosquitoes from Belize and Brazil and comparative analyses of structure and base composition, among others, were performed. A maximum likelihood approach linked with phylogenetic information was employed to detect evidence of selection and a Bayesian approach was used to date the split between the subgenus Nyssorhynchus and other Anopheles subgenera.ResultsThe comparison of mtDNA sequences within the Anopheles darlingi taxon does not provide sufficient resolution to establish different units of speciation within the species. In addition, no evidence of positive selection in any protein-coding gene of the mtDNA was detected, and purifying selection likely is the basis for this lack of diversity. Bayesian analysis supports the conclusion that the most recent ancestor of Nyssorhynchus and Anopheles+Cellia was extant ~94 million years ago.ConclusionAnalyses of mtDNA genomes of Anopheles darlingi do not provide support for speciation in the taxon. The dates estimated for divergence among the anopheline groups tested is in agreement with the geological split of western Gondwana (95 mya), and provides additional support for explaining the absence of Cellia in the New World, and Nyssorhynchus in the Afro-Eurasian continents.
    41 schema:genre article
    42 schema:isAccessibleForFree true
    43 schema:isPartOf N5b1673b96f5b4bc2b268a7b821017051
    44 N7c32505e2890459e9b62b0153da6effa
    45 sg:journal.1030597
    46 schema:keywords Afro-Eurasian continent
    47 Anopheles
    48 Anopheles darlingi
    49 Anopheles subgenera
    50 Bayesian analysis
    51 Bayesian approach
    52 Belize
    53 Brazil
    54 Cellia
    55 Gondwana
    56 New World
    57 Nyssorhynchus
    58 absence
    59 addition
    60 additional support
    61 agreement
    62 analysis
    63 ancestor
    64 anophelines
    65 approach
    66 base composition
    67 basis
    68 common ancestor
    69 comparative analysis
    70 comparative study
    71 comparison
    72 complete mtDNA genomes
    73 complete sequence
    74 composition
    75 conclusion
    76 continent
    77 darlingi
    78 date
    79 different units
    80 differentiation
    81 divergence
    82 divergence times
    83 diversity
    84 evidence
    85 evidence of selection
    86 genes
    87 genome
    88 genotypes
    89 group
    90 incipient speciation
    91 information
    92 lack
    93 lack of diversity
    94 likelihood approach
    95 maximum likelihood approach
    96 members
    97 mitochondrial genome
    98 mosquitoes
    99 mtDNA
    100 mtDNA genome
    101 mtDNA sequences
    102 mtDNAs
    103 phylogenetic information
    104 positive selection
    105 protein-coding genes
    106 recent ancestor
    107 recent common ancestor
    108 resolution
    109 selection
    110 sequence
    111 southern genotypes
    112 speciation
    113 species
    114 split
    115 structure
    116 study
    117 subgenera
    118 subgenus Nyssorhynchus
    119 sufficient resolution
    120 support
    121 taxa
    122 time
    123 units
    124 western Gondwana
    125 world
    126 years
    127 schema:name Complete mtDNA genomes of Anopheles darlingi and an approach to anopheline divergence time
    128 schema:pagination 127
    129 schema:productId Na99e4506441b40388f641fafa4449b1f
    130 Nc6cac04285ec4e7b962f7b9e7cf2a9b2
    131 Ne1b5f49df6f44b5dad11cc6cc0e65e0a
    132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029474023
    133 https://doi.org/10.1186/1475-2875-9-127
    134 schema:sdDatePublished 2022-12-01T06:28
    135 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    136 schema:sdPublisher N22f4820cd5cb41a097e06c51bac52d54
    137 schema:url https://doi.org/10.1186/1475-2875-9-127
    138 sgo:license sg:explorer/license/
    139 sgo:sdDataset articles
    140 rdf:type schema:ScholarlyArticle
    141 N11fc9cd5291f41c4b17fc97f8dd7de07 rdf:first sg:person.0600606413.44
    142 rdf:rest N8ccb78334a9441d09de650607a77c257
    143 N15bad0f7006d4ba68f140e714f0cd3cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    144 schema:name Polymorphism, Restriction Fragment Length
    145 rdf:type schema:DefinedTerm
    146 N17bec3d3e0134adba405d8e89385e2d6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    147 schema:name Brazil
    148 rdf:type schema:DefinedTerm
    149 N22f4820cd5cb41a097e06c51bac52d54 schema:name Springer Nature - SN SciGraph project
    150 rdf:type schema:Organization
    151 N30166cf32a264575956e9e6119cd9c52 rdf:first sg:person.01323226301.01
    152 rdf:rest Ne2ee56c01b0d40e4bcb62918de61b050
    153 N3b123bcae5244500846a93f94287f966 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    154 schema:name Sequence Analysis, DNA
    155 rdf:type schema:DefinedTerm
    156 N3b3515bac41f422db8dd335996e3f8f8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    157 schema:name Genotype
    158 rdf:type schema:DefinedTerm
    159 N43af3e48b03c48f1a1af25da9470c8b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    160 schema:name Base Composition
    161 rdf:type schema:DefinedTerm
    162 N45a6f400ff72456a80cb3afc34a5ab37 rdf:first sg:person.01311002753.32
    163 rdf:rest N30166cf32a264575956e9e6119cd9c52
    164 N4ee0bd76c848417d824c2b22deefedc9 rdf:first sg:person.01067734502.61
    165 rdf:rest Nb14de0559a014e2fb7ee63b982fe0e4f
    166 N5b1673b96f5b4bc2b268a7b821017051 schema:issueNumber 1
    167 rdf:type schema:PublicationIssue
    168 N62ee7d174b484951a6ff831de1f8619c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    169 schema:name Monte Carlo Method
    170 rdf:type schema:DefinedTerm
    171 N6732818e94c44d0b9a53ddf2cb110684 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    172 schema:name Female
    173 rdf:type schema:DefinedTerm
    174 N7c32505e2890459e9b62b0153da6effa schema:volumeNumber 9
    175 rdf:type schema:PublicationVolume
    176 N8ccb78334a9441d09de650607a77c257 rdf:first sg:person.01045223030.73
    177 rdf:rest rdf:nil
    178 N9821b987d13d456a9a33280b7e9cae9d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    179 schema:name Animals
    180 rdf:type schema:DefinedTerm
    181 N9ae249928256479da1bcc9978f17d679 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    182 schema:name Markov Chains
    183 rdf:type schema:DefinedTerm
    184 Na1f96558958248b18cfbf9fd5780732a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    185 schema:name Phylogeny
    186 rdf:type schema:DefinedTerm
    187 Na99e4506441b40388f641fafa4449b1f schema:name pubmed_id
    188 schema:value 20470395
    189 rdf:type schema:PropertyValue
    190 Nac2ec079a51a44f788f5267099c25a53 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    191 schema:name Time Factors
    192 rdf:type schema:DefinedTerm
    193 Nb14de0559a014e2fb7ee63b982fe0e4f rdf:first sg:person.01360526432.37
    194 rdf:rest N11fc9cd5291f41c4b17fc97f8dd7de07
    195 Nb52e5c0ad7114bf8b78c8cc49dc4efc0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    196 schema:name Genetic Speciation
    197 rdf:type schema:DefinedTerm
    198 Nb57a5c42844e45f58426c46897f0a9df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    199 schema:name DNA, Mitochondrial
    200 rdf:type schema:DefinedTerm
    201 Nbf315fb9f8e441899bb0ed02b61ce5e8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    202 schema:name Genes, Insect
    203 rdf:type schema:DefinedTerm
    204 Nc283829c429a4c7ca9398ace66ec3d84 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    205 schema:name Anopheles
    206 rdf:type schema:DefinedTerm
    207 Nc6cac04285ec4e7b962f7b9e7cf2a9b2 schema:name doi
    208 schema:value 10.1186/1475-2875-9-127
    209 rdf:type schema:PropertyValue
    210 Nc8bf659d75d94fdab7e6f66c9bbd1fb1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    211 schema:name Polymerase Chain Reaction
    212 rdf:type schema:DefinedTerm
    213 Ncf2cdf5ba3e046c4abdd41a0544ebc97 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    214 schema:name Belize
    215 rdf:type schema:DefinedTerm
    216 Nd68bdec8fa664b7a9f2aad7b3070e701 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    217 schema:name Genome, Mitochondrial
    218 rdf:type schema:DefinedTerm
    219 Ne034bc6edea841f2b5d70203f5c380b8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    220 schema:name Species Specificity
    221 rdf:type schema:DefinedTerm
    222 Ne1b5f49df6f44b5dad11cc6cc0e65e0a schema:name dimensions_id
    223 schema:value pub.1029474023
    224 rdf:type schema:PropertyValue
    225 Ne2ee56c01b0d40e4bcb62918de61b050 rdf:first sg:person.01367635300.38
    226 rdf:rest N4ee0bd76c848417d824c2b22deefedc9
    227 Nee1d57daecdd4c11af94531296db1627 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    228 schema:name Bayes Theorem
    229 rdf:type schema:DefinedTerm
    230 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    231 schema:name Biological Sciences
    232 rdf:type schema:DefinedTerm
    233 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    234 schema:name Genetics
    235 rdf:type schema:DefinedTerm
    236 sg:grant.2456106 http://pending.schema.org/fundedItem sg:pub.10.1186/1475-2875-9-127
    237 rdf:type schema:MonetaryGrant
    238 sg:journal.1030597 schema:issn 1475-2875
    239 schema:name Malaria Journal
    240 schema:publisher Springer Nature
    241 rdf:type schema:Periodical
    242 sg:person.01045223030.73 schema:affiliation grid-institutes:grid.265850.c
    243 schema:familyName Conn
    244 schema:givenName Jan E
    245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045223030.73
    246 rdf:type schema:Person
    247 sg:person.01067734502.61 schema:affiliation grid-institutes:grid.419220.c
    248 schema:familyName Tadei
    249 schema:givenName Wanderli P
    250 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067734502.61
    251 rdf:type schema:Person
    252 sg:person.01311002753.32 schema:affiliation grid-institutes:grid.465543.5
    253 schema:familyName Moreno
    254 schema:givenName Marta
    255 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01311002753.32
    256 rdf:type schema:Person
    257 sg:person.01323226301.01 schema:affiliation grid-institutes:grid.266093.8
    258 schema:familyName Marinotti
    259 schema:givenName Osvaldo
    260 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323226301.01
    261 rdf:type schema:Person
    262 sg:person.01360526432.37 schema:affiliation grid-institutes:grid.266093.8
    263 schema:familyName James
    264 schema:givenName Anthony A
    265 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360526432.37
    266 rdf:type schema:Person
    267 sg:person.01367635300.38 schema:affiliation grid-institutes:grid.48004.38
    268 schema:familyName Krzywinski
    269 schema:givenName Jaroslaw
    270 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367635300.38
    271 rdf:type schema:Person
    272 sg:person.0600606413.44 schema:affiliation grid-institutes:grid.265436.0
    273 schema:familyName Achee
    274 schema:givenName Nicole L
    275 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600606413.44
    276 rdf:type schema:Person
    277 sg:pub.10.1007/978-1-4020-6754-9_15411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005398842
    278 https://doi.org/10.1007/978-1-4020-6754-9_15411
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1007/bf01215182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028965019
    281 https://doi.org/10.1007/bf01215182
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1007/bf02099755 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042904557
    284 https://doi.org/10.1007/bf02099755
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1007/s00239-006-0099-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000812942
    287 https://doi.org/10.1007/s00239-006-0099-6
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.1038/290470a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022113793
    290 https://doi.org/10.1038/290470a0
    291 rdf:type schema:CreativeWork
    292 sg:pub.10.1038/376163a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012003076
    293 https://doi.org/10.1038/376163a0
    294 rdf:type schema:CreativeWork
    295 sg:pub.10.1038/nrg1269 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011169781
    296 https://doi.org/10.1038/nrg1269
    297 rdf:type schema:CreativeWork
    298 sg:pub.10.1038/sj.hdy.6800805 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004494176
    299 https://doi.org/10.1038/sj.hdy.6800805
    300 rdf:type schema:CreativeWork
    301 sg:pub.10.1038/sj.hdy.6801002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040597568
    302 https://doi.org/10.1038/sj.hdy.6801002
    303 rdf:type schema:CreativeWork
    304 sg:pub.10.1186/1471-2148-7-154 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029370575
    305 https://doi.org/10.1186/1471-2148-7-154
    306 rdf:type schema:CreativeWork
    307 sg:pub.10.1186/1471-2148-7-214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010584451
    308 https://doi.org/10.1186/1471-2148-7-214
    309 rdf:type schema:CreativeWork
    310 sg:pub.10.1186/1471-2148-9-298 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039956027
    311 https://doi.org/10.1186/1471-2148-9-298
    312 rdf:type schema:CreativeWork
    313 sg:pub.10.1186/1471-2164-6-105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030382145
    314 https://doi.org/10.1186/1471-2164-6-105
    315 rdf:type schema:CreativeWork
    316 sg:pub.10.1186/1472-6785-8-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042463726
    317 https://doi.org/10.1186/1472-6785-8-3
    318 rdf:type schema:CreativeWork
    319 grid-institutes:grid.265436.0 schema:alternateName Department of Preventive Medicine and Biometrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
    320 schema:name Department of Preventive Medicine and Biometrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
    321 rdf:type schema:Organization
    322 grid-institutes:grid.265850.c schema:alternateName Department of Biomedical Sciences, School of Public Health, State University of New York-Albany, Empire Plaza, 12201, Albany, NY, USA
    323 schema:name Department of Biomedical Sciences, School of Public Health, State University of New York-Albany, Empire Plaza, 12201, Albany, NY, USA
    324 New York State Department of Health, Wadsworth Center, Griffin Laboratory, 5668 State Farm Road, 12159, Slingerlands, NY, USA
    325 rdf:type schema:Organization
    326 grid-institutes:grid.266093.8 schema:alternateName Department of Microbiology and Molecular Genetics, University of California, Irvine, CA, USA
    327 Department of Molecular Biology and Biochemistry, University of California, Irvine, CA, USA
    328 schema:name Department of Microbiology and Molecular Genetics, University of California, Irvine, CA, USA
    329 Department of Molecular Biology and Biochemistry, University of California, Irvine, CA, USA
    330 rdf:type schema:Organization
    331 grid-institutes:grid.419220.c schema:alternateName Instituto Nacional de Pesquisas da Amazonia, Manaus, Amazonas, Brazil
    332 schema:name Instituto Nacional de Pesquisas da Amazonia, Manaus, Amazonas, Brazil
    333 rdf:type schema:Organization
    334 grid-institutes:grid.465543.5 schema:alternateName New York State Department of Health, Wadsworth Center, Griffin Laboratory, 5668 State Farm Road, 12159, Slingerlands, NY, USA
    335 schema:name New York State Department of Health, Wadsworth Center, Griffin Laboratory, 5668 State Farm Road, 12159, Slingerlands, NY, USA
    336 rdf:type schema:Organization
    337 grid-institutes:grid.48004.38 schema:alternateName Vector Group, Liverpool School of Tropical Medicine, Liverpool, UK
    338 schema:name Vector Group, Liverpool School of Tropical Medicine, Liverpool, UK
    339 rdf:type schema:Organization
     




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


    ...