6 datasets found
  1. Data from: Urban population structure and dispersal of an Australian...

    • data.niaid.nih.gov
    • search.dataone.org
    • +1more
    zip
    Updated Dec 6, 2022
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    Véronique Paris; Rahul Rane; Peter Mee; Stacey Lynch; Ary Hoffmann; Tom Schmidt (2022). Urban population structure and dispersal of an Australian mosquito (Aedes notoscriptus) involved in disease transmission [Dataset]. http://doi.org/10.5061/dryad.05qfttf60
    Explore at:
    zipAvailable download formats
    Dataset updated
    Dec 6, 2022
    Dataset provided by
    Agriculture Victoria
    Commonwealth Scientific and Industrial Research Organisation
    The University of Melbourne
    Authors
    Véronique Paris; Rahul Rane; Peter Mee; Stacey Lynch; Ary Hoffmann; Tom Schmidt
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    Australia
    Description

    Dispersal is critical for successful pest control measures as it determines the rate of movement across target control areas and influences the risk of human exposure. We used a fine-scale spatial population genomic approach to investigate the dispersal ecology and population structure of Aedes notoscriptus, an important disease-transmitting mosquito at the Mornington Peninsula, Australia. We sampled and reared Ae. notoscriptus eggs at two time points from 170 traps up to 5 km apart and generated genomic data from 240 individuals. We also produced a draft genome assembly from a laboratory colony established from mosquitoes sampled near the study area. We found low genetic structure (Fst) and high coancestry throughout the study region. Using genetic data to identify close kin dyads, we found that mosquitoes had moved distances of >1 km within a generation, which is further than previously described. A spatial autocorrelation analysis of genetic distances indicated genetic similarity at >1 km separation, a tenfold higher distance than for a comparable population of Ae. aegypti, from Cairns, Australia. These findings point to high mobility of Ae. notoscriptus, highlighting challenges of localized intervention strategies. Further sampling within the same area 6 and 12 months after initial sampling showed that egg-counts were relatively consistent across time, and that spatial variation in egg-counts covaried with spatial variation in Wright’s neighbourhood size (NS). As NS increases linearly with population density, egg-counts may be useful for estimating relative density in Ae. notoscriptus. The results highlight the importance of acquiring species-specific data when planning control measures.

  2. Population genetics (allozymes) of the prawn Penaeus monodon in Australian...

    • researchdata.edu.au
    • data.gov.au
    Updated 2025
    + more versions
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    Australian Institute of Marine Science (AIMS); Benzie, John AH, Dr (2025). Population genetics (allozymes) of the prawn Penaeus monodon in Australian waters [Dataset]. https://researchdata.edu.au/population-genetics-allozymes-australian-waters/677518
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    Dataset updated
    2025
    Dataset provided by
    Australian Institute Of Marine Sciencehttp://www.aims.gov.au/
    Authors
    Australian Institute of Marine Science (AIMS); Benzie, John AH, Dr
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Area covered
    Description

    A study of the population genetics of the prawn Penaeus monodon in northern and eastern Australian waters. Variations in gene frequencies of allozymes and common proteins (GPI,LGG,LT-1,MDH-1,MDH-2,MPI,PGDH,PGM) were used to estimate connectivity and dispersal between populations which range through locations in Western Australia, Northern Territory, Queensland and New South Wales. Statistical analyses and clustering procedures were carried out.Collection of samples were from 7 locations throughout the species range in Australia: Clarence River, Townsville, Cairns, Weipa, Melville Island, Joseph Bonaparte Gulf, De Grey River.A later study was conducted on South Afican samples, see separate metadata record.
    To estimate connectivity and dispersal between Penaeus monodon populations in northern and eastern Australia.
    First systematic survey of genetic variation of P. monodon populations over a wide geographic range. Highly significant differences between western and the northern and eastern populations were demonstrated.

  3. Population genetics (DNA) of the prawn Penaeus monodon in Australian waters

    • researchdata.edu.au
    • data.wu.ac.at
    Updated 2025
    + more versions
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    Australian Institute of Marine Science (AIMS); Benzie, John AH, Dr (2025). Population genetics (DNA) of the prawn Penaeus monodon in Australian waters [Dataset]. https://researchdata.edu.au/population-genetics-dna-australian-waters/677898
    Explore at:
    Dataset updated
    2025
    Dataset provided by
    Australian Institute Of Marine Sciencehttp://www.aims.gov.au/
    Authors
    Australian Institute of Marine Science (AIMS); Benzie, John AH, Dr
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Area covered
    Description

    A study of the population genetics of the prawn Penaeus monodon in northern and eastern Australian waters. Mitochondrial D-loop DNA (and Restriction Fragment Length Polymorphism - RFLP) were used to estimate connectivity and dispersal between populations which range through locations in Western Australia, Northern Territory, Queensland and New South Wales. Statistical analyses and clustering procedures were carried out.Collection of samples were from 6 locations throughout the species range in Australia: Townsville, Cairns, Weipa, Melville Island, Joseph Bonaparte Gulf, De Grey River.Some comparison was made with Indonesian and South African samples, see separate metadata record.Microsatellite markers were used in a further study of genetic variation among the Australian populations above.
    To estimate connectivity and dispersal between Penaeus monodon populations in northern and eastern Australia.To compare results with genetic analyses using allozymes.
    Separate metadata records apply for data relating to the genetic analyses using allozymes of Penaeus monodon from Australian waters and South Africa.

  4. g

    Population genetics (DNA) of the prawn Penaeus monodon in Australian waters...

    • gimi9.com
    Updated Jul 2, 2025
    + more versions
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    (2025). Population genetics (DNA) of the prawn Penaeus monodon in Australian waters | gimi9.com [Dataset]. https://gimi9.com/dataset/au_population-genetics-dna-of-the-prawn-penaeus-monodon-in-australian-waters1/
    Explore at:
    Dataset updated
    Jul 2, 2025
    Area covered
    Australia
    Description

    A study of the population genetics of the prawn Penaeus monodon in northern and eastern Australian waters. Mitochondrial D-loop DNA (and Restriction Fragment Length Polymorphism - RFLP) were used to estimate connectivity and dispersal between populations which range through locations in Western Australia, Northern Territory, Queensland and New South Wales. Statistical analyses and clustering procedures were carried out.Collection of samples were from 6 locations throughout the species range in Australia: Townsville, Cairns, Weipa, Melville Island, Joseph Bonaparte Gulf, De Grey River.Some comparison was made with Indonesian and South African samples, see separate metadata record.Microsatellite markers were used in a further study of genetic variation among the Australian populations above. To estimate connectivity and dispersal between Penaeus monodon populations in northern and eastern Australia.To compare results with genetic analyses using allozymes. Separate metadata records apply for data relating to the genetic analyses using allozymes of Penaeus monodon from Australian waters and South Africa.

  5. O

    Births by Hospital

    • data.qld.gov.au
    • researchdata.edu.au
    • +1more
    csv
    Updated Feb 13, 2025
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    Justice (2025). Births by Hospital [Dataset]. https://www.data.qld.gov.au/dataset/births-by-hospital
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    csv(1.5 KiB), csv(2 KiB), csvAvailable download formats
    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    Justice
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Births that occurred by hospital name. Birth events of 5 or more per hospital location are displayed

  6. r

    Australian Nucleotide (DNA/RNA) and Protein sequences from Australian...

    • researchdata.edu.au
    Updated Jul 20, 2012
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    QFAB Bioinformatics (2012). Australian Nucleotide (DNA/RNA) and Protein sequences from Australian organisms in the species Dysoxylum pettigrewianum [Dataset]. https://researchdata.edu.au/australian-nucleotide-dnarna-dysoxylum-pettigrewianum/59101
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    Dataset updated
    Jul 20, 2012
    Dataset provided by
    QFAB
    Authors
    QFAB Bioinformatics
    Area covered
    Australia
    Description

    This data collection contains all currently published nucleotide (DNA/RNA) and protein sequences from Australian Dysoxylum pettigrewianum, commonly known as Cairns Satinwood. Other information about this group:

    The nucleotide (DNA/RNA) and protein sequences have been sourced through the European Nucleotide Archive (ENA) and Universal Protein Resource (UniProt), databases that contains comprehensive sets of nucleotide (DNA/RNA) and protein sequences from all organisms that have been published by the International Research Community.

    The identification of species in Dysoxylum pettigrewianum as Australian dwelling organisms has been achieved by accessing the Australian Plant Census (APC) or Australian Faunal Directory (AFD) through the Atlas of Living Australia.

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Véronique Paris; Rahul Rane; Peter Mee; Stacey Lynch; Ary Hoffmann; Tom Schmidt (2022). Urban population structure and dispersal of an Australian mosquito (Aedes notoscriptus) involved in disease transmission [Dataset]. http://doi.org/10.5061/dryad.05qfttf60
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Data from: Urban population structure and dispersal of an Australian mosquito (Aedes notoscriptus) involved in disease transmission

Related Article
Explore at:
zipAvailable download formats
Dataset updated
Dec 6, 2022
Dataset provided by
Agriculture Victoria
Commonwealth Scientific and Industrial Research Organisation
The University of Melbourne
Authors
Véronique Paris; Rahul Rane; Peter Mee; Stacey Lynch; Ary Hoffmann; Tom Schmidt
License

https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

Area covered
Australia
Description

Dispersal is critical for successful pest control measures as it determines the rate of movement across target control areas and influences the risk of human exposure. We used a fine-scale spatial population genomic approach to investigate the dispersal ecology and population structure of Aedes notoscriptus, an important disease-transmitting mosquito at the Mornington Peninsula, Australia. We sampled and reared Ae. notoscriptus eggs at two time points from 170 traps up to 5 km apart and generated genomic data from 240 individuals. We also produced a draft genome assembly from a laboratory colony established from mosquitoes sampled near the study area. We found low genetic structure (Fst) and high coancestry throughout the study region. Using genetic data to identify close kin dyads, we found that mosquitoes had moved distances of >1 km within a generation, which is further than previously described. A spatial autocorrelation analysis of genetic distances indicated genetic similarity at >1 km separation, a tenfold higher distance than for a comparable population of Ae. aegypti, from Cairns, Australia. These findings point to high mobility of Ae. notoscriptus, highlighting challenges of localized intervention strategies. Further sampling within the same area 6 and 12 months after initial sampling showed that egg-counts were relatively consistent across time, and that spatial variation in egg-counts covaried with spatial variation in Wright’s neighbourhood size (NS). As NS increases linearly with population density, egg-counts may be useful for estimating relative density in Ae. notoscriptus. The results highlight the importance of acquiring species-specific data when planning control measures.

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