Data

Macquarie perch Macquaria australasica DArT genotypes for Lutz et al 2021 Evolutionary Applications

Monash University
Alexandra Pavlova (Aggregated by) Maiko Lutz (Aggregated by) Paul Sunnucks (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26180/5ea1736cc3553&rft.title=Macquarie perch Macquaria australasica DArT genotypes for Lutz et al 2021 Evolutionary Applications&rft.identifier=https://doi.org/10.26180/5ea1736cc3553&rft.publisher=Monash University&rft.description=Data used in the manuscript: Lutz, M., Z. Tonkin, J. D. Yen, G. Johnson, B. Ingram, J. Sharley, J. Lyon, D. G. Chapple, P. Sunnucks, and A. Pavlova. 2021. Using multiple sources during reintroduction of a locally extinct population benefits survival and reproduction of an endangered freshwater fish. Evolutionary Applications 14:950-964. doi.org/10.1111/eva.13173File “Report_DMacq19-4705_8_moreOrders_SNP_mapping_2.csv” is the genotyping file from Diversity Arrays Technology. It contains genotypes for 2672 Macquarie perch individuals, including those not used for this study.File “Metadata.txt” explains content of columns and rows in the genotyping file. File “Lutz_et_al_covariate_file.csv” is the covariate file used for manuscript (1) Lutz et al 2021. It comprises data on population, sex and capture year for each individual. Columns: id- individual identification, pop- population (Dart_F- Dartmouth female; Dart_M- Dartmouth male; Dart_U- Dartmouth individual of unknown sex; Yarr_F- Yarra female; Yarr_M- Yarra male; Yarr_U- Yarra individual of unknown sex; Ovens_2016, Ovens_2017 and Ovens_2018- individuals captured in the Ovens during the 2016, 2017 and 2018 monitoring, respectively; SnobsCreek- hatchery-produced individual born at Snobs Creek hatchery; dontuse- individual was not use in this study); sex- gender (M- male, F- female, U- unknown, #NA- not used in this study).&rft.creator=Alexandra Pavlova&rft.creator=Alexandra Pavlova&rft.creator=Maiko Lutz&rft.creator=Maiko Lutz&rft.creator=Paul Sunnucks&rft.creator=Paul Sunnucks&rft.date=2022&rft_rights=CC-BY-4.0&rft_subject=Macquarie perch Macquaria australasica&rft_subject=Genotyping&rft_subject=Genetic augmentation&rft_subject=Parentage analysis&rft_subject=Genetic diversity&rft_subject=Genetic admixture&rft_subject=ARDC Data Retention Project&rft_subject=RDSI&rft_subject=Population, Ecological and Evolutionary Genetics&rft.type=dataset&rft.language=English Access the data
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Data used in the manuscript:

Lutz, M., Z. Tonkin, J. D. Yen, G. Johnson, B. Ingram, J. Sharley, J. Lyon, D. G. Chapple, P. Sunnucks, and A. Pavlova. 2021. Using multiple sources during reintroduction of a locally extinct population benefits survival and reproduction of an endangered freshwater fish. Evolutionary Applications 14:950-964. doi.org/10.1111/eva.13173


File “Report_DMacq19-4705_8_moreOrders_SNP_mapping_2.csv” is the genotyping file from Diversity Arrays Technology. It contains genotypes for 2672 Macquarie perch individuals, including those not used for this study.

File “Metadata.txt” explains content of columns and rows in the genotyping file.

File “Lutz_et_al_covariate_file.csv” is the covariate file used for manuscript (1) Lutz et al 2021. It comprises data on population, sex and capture year for each individual. Columns: id- individual identification, pop- population (Dart_F- Dartmouth female; Dart_M- Dartmouth male; Dart_U- Dartmouth individual of unknown sex; Yarr_F- Yarra female; Yarr_M- Yarra male; Yarr_U- Yarra individual of unknown sex; Ovens_2016, Ovens_2017 and Ovens_2018- individuals captured in the Ovens during the 2016, 2017 and 2018 monitoring, respectively; SnobsCreek- hatchery-produced individual born at Snobs Creek hatchery; dontuse- individual was not use in this study); sex- gender (M- male, F- female, U- unknown, #NA- not used in this study).



Issued: 2020-06-27

Created: 2021-09-01

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ARDC Data Retention Project | Genetic admixture | Genetic augmentation | Genetic diversity | Genotyping | Macquarie perch Macquaria australasica | Parentage analysis | Population, Ecological and Evolutionary Genetics | RDSI |

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