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Population genetics of Anopheles koliensis through Papua New Guinea: New cryptic species and landscape topography effects on genetic connectivity.

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Title: Population genetics of Anopheles koliensis through Papua New Guinea: New cryptic species and landscape topography effects on genetic connectivity.
Authors: Ambrose, Luke1 (AUTHOR), Hanson, Jeffrey O.1 (AUTHOR), Riginos, Cynthia1 (AUTHOR), Xu, Weixin1 (AUTHOR), Fordyce, Sarah2 (AUTHOR), Cooper, Robert D.3 (AUTHOR), Beebe, Nigel W.1,4 (AUTHOR) n.beebe@uq.edu.au
Source: Ecology & Evolution (20457758). Dec2019, Vol. 9 Issue 23, p13375-13388. 14p.
Subject Terms: *Mosquito vectors, *Species, Anopheles, Microsatellite repeats, Genetic models, Topography, Population genetics
Geographic Terms: Papua New Guinea, New Guinea (Island)
Abstract: New Guinea is a topographically and biogeographically complex region that supports unique endemic fauna. Studies describing the population connectivity of species through this region are scarce. We present a population and landscape genetic study on the endemic malaria‐transmitting mosquito, Anopheles koliensis (Owen). Using mitochondrial and nuclear sequence data, as well as microsatellites, we show the evidence of geographically discrete population structure within Papua New Guinea (PNG). We also confirm the existence of three rDNA ITS2 genotypes within this mosquito and assess reproductive isolation between individuals carrying different genotypes. Microsatellites reveal the clearest population structure and show four clear population units. Microsatellite markers also reveal probable reproductive isolation between sympatric populations in northern PNG with different ITS2 genotypes, suggesting that these populations may represent distinct cryptic species. Excluding individuals belonging to the newly identified putative cryptic species (ITS2 genotype 3), we modeled the genetic differences between A. koliensis populations through PNG as a function of terrain and find that dispersal is most likely along routes with low topographic relief. Overall, these results show that A. koliensis is made up of geographically and genetically discrete populations in Papua New Guinea with landscape topography being important in restricting dispersal. [ABSTRACT FROM AUTHOR]
Copyright of Ecology & Evolution (20457758) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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PubTypeId: academicJournal
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  Data: Population genetics of Anopheles koliensis through Papua New Guinea: New cryptic species and landscape topography effects on genetic connectivity.
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  Data: <searchLink fieldCode="AR" term="%22Ambrose%2C+Luke%22">Ambrose, Luke</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hanson%2C+Jeffrey+O%2E%22">Hanson, Jeffrey O.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Riginos%2C+Cynthia%22">Riginos, Cynthia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Weixin%22">Xu, Weixin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fordyce%2C+Sarah%22">Fordyce, Sarah</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cooper%2C+Robert+D%2E%22">Cooper, Robert D.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Beebe%2C+Nigel+W%2E%22">Beebe, Nigel W.</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<i> n.beebe@uq.edu.au</i>
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  Data: <searchLink fieldCode="JN" term="%22Ecology+%26+Evolution+%2820457758%29%22">Ecology & Evolution (20457758)</searchLink>. Dec2019, Vol. 9 Issue 23, p13375-13388. 14p.
– Name: Subject
  Label: Subject Terms
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  Data: *<searchLink fieldCode="DE" term="%22Mosquito+vectors%22">Mosquito vectors</searchLink><br />*<searchLink fieldCode="DE" term="%22Species%22">Species</searchLink><br /><searchLink fieldCode="DE" term="%22Anopheles%22">Anopheles</searchLink><br /><searchLink fieldCode="DE" term="%22Microsatellite+repeats%22">Microsatellite repeats</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+models%22">Genetic models</searchLink><br /><searchLink fieldCode="DE" term="%22Topography%22">Topography</searchLink><br /><searchLink fieldCode="DE" term="%22Population+genetics%22">Population genetics</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22Papua+New+Guinea%22">Papua New Guinea</searchLink><br /><searchLink fieldCode="DE" term="%22New+Guinea+%28Island%29%22">New Guinea (Island)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: New Guinea is a topographically and biogeographically complex region that supports unique endemic fauna. Studies describing the population connectivity of species through this region are scarce. We present a population and landscape genetic study on the endemic malaria‐transmitting mosquito, Anopheles koliensis (Owen). Using mitochondrial and nuclear sequence data, as well as microsatellites, we show the evidence of geographically discrete population structure within Papua New Guinea (PNG). We also confirm the existence of three rDNA ITS2 genotypes within this mosquito and assess reproductive isolation between individuals carrying different genotypes. Microsatellites reveal the clearest population structure and show four clear population units. Microsatellite markers also reveal probable reproductive isolation between sympatric populations in northern PNG with different ITS2 genotypes, suggesting that these populations may represent distinct cryptic species. Excluding individuals belonging to the newly identified putative cryptic species (ITS2 genotype 3), we modeled the genetic differences between A. koliensis populations through PNG as a function of terrain and find that dispersal is most likely along routes with low topographic relief. Overall, these results show that A. koliensis is made up of geographically and genetically discrete populations in Papua New Guinea with landscape topography being important in restricting dispersal. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Ecology & Evolution (20457758) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=140370916
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      – Type: doi
        Value: 10.1002/ece3.5792
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 13375
    Subjects:
      – SubjectFull: Mosquito vectors
        Type: general
      – SubjectFull: Species
        Type: general
      – SubjectFull: Anopheles
        Type: general
      – SubjectFull: Microsatellite repeats
        Type: general
      – SubjectFull: Genetic models
        Type: general
      – SubjectFull: Topography
        Type: general
      – SubjectFull: Population genetics
        Type: general
      – SubjectFull: Papua New Guinea
        Type: general
      – SubjectFull: New Guinea (Island)
        Type: general
    Titles:
      – TitleFull: Population genetics of Anopheles koliensis through Papua New Guinea: New cryptic species and landscape topography effects on genetic connectivity.
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              M: 12
              Text: Dec2019
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              Y: 2019
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