Single Nucleotide Polymorphism (SNP) genomic data of moose (Alces alces) from the contiguous United States, 2009-2017
We analyzed the single nucleotide polymorphisms (SNPs) present in the genomes of moose representing 3 subspecies in the contiguous United States. Blood samples were collected opportunistically from collaborators during field efforts or were supplied to our lab from collaborators' archives, and...
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U.S. Geological Survey
2021
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ftdatacite:10.5066/p9fxuzn8 2023-05-15T13:12:57+02:00 Single Nucleotide Polymorphism (SNP) genomic data of moose (Alces alces) from the contiguous United States, 2009-2017 Ferrante, Jason A Smith, Chase A Thompson, Laura M Hunter, Margaret E 2021 https://dx.doi.org/10.5066/p9fxuzn8 https://www.sciencebase.gov/catalog/item/601864e4d34edf5c66f0b7c8 unknown U.S. Geological Survey Aquatic Biology, Ecology, Genetics, Wildlife Biology dataset Dataset 2021 ftdatacite https://doi.org/10.5066/p9fxuzn8 2021-11-05T12:55:41Z We analyzed the single nucleotide polymorphisms (SNPs) present in the genomes of moose representing 3 subspecies in the contiguous United States. Blood samples were collected opportunistically from collaborators during field efforts or were supplied to our lab from collaborators' archives, and represented moose sampling occurring between 2009-2017. DNA was extracted, sequenced using next generation sequencing, and SNPs analyzed using the genetics programs Structure and Tess3, and by performing basic population statistics. These analyses were used to determine the population structure of moose at the subspecies level. Dataset Alces alces DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
topic |
Aquatic Biology, Ecology, Genetics, Wildlife Biology |
spellingShingle |
Aquatic Biology, Ecology, Genetics, Wildlife Biology Ferrante, Jason A Smith, Chase A Thompson, Laura M Hunter, Margaret E Single Nucleotide Polymorphism (SNP) genomic data of moose (Alces alces) from the contiguous United States, 2009-2017 |
topic_facet |
Aquatic Biology, Ecology, Genetics, Wildlife Biology |
description |
We analyzed the single nucleotide polymorphisms (SNPs) present in the genomes of moose representing 3 subspecies in the contiguous United States. Blood samples were collected opportunistically from collaborators during field efforts or were supplied to our lab from collaborators' archives, and represented moose sampling occurring between 2009-2017. DNA was extracted, sequenced using next generation sequencing, and SNPs analyzed using the genetics programs Structure and Tess3, and by performing basic population statistics. These analyses were used to determine the population structure of moose at the subspecies level. |
format |
Dataset |
author |
Ferrante, Jason A Smith, Chase A Thompson, Laura M Hunter, Margaret E |
author_facet |
Ferrante, Jason A Smith, Chase A Thompson, Laura M Hunter, Margaret E |
author_sort |
Ferrante, Jason A |
title |
Single Nucleotide Polymorphism (SNP) genomic data of moose (Alces alces) from the contiguous United States, 2009-2017 |
title_short |
Single Nucleotide Polymorphism (SNP) genomic data of moose (Alces alces) from the contiguous United States, 2009-2017 |
title_full |
Single Nucleotide Polymorphism (SNP) genomic data of moose (Alces alces) from the contiguous United States, 2009-2017 |
title_fullStr |
Single Nucleotide Polymorphism (SNP) genomic data of moose (Alces alces) from the contiguous United States, 2009-2017 |
title_full_unstemmed |
Single Nucleotide Polymorphism (SNP) genomic data of moose (Alces alces) from the contiguous United States, 2009-2017 |
title_sort |
single nucleotide polymorphism (snp) genomic data of moose (alces alces) from the contiguous united states, 2009-2017 |
publisher |
U.S. Geological Survey |
publishDate |
2021 |
url |
https://dx.doi.org/10.5066/p9fxuzn8 https://www.sciencebase.gov/catalog/item/601864e4d34edf5c66f0b7c8 |
genre |
Alces alces |
genre_facet |
Alces alces |
op_doi |
https://doi.org/10.5066/p9fxuzn8 |
_version_ |
1766255060458668032 |