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A new genomic resource to enable standardized surveys of SNPs across the native range of brook trout (Salvelinus fontinalis)

Overview of attention for article published in Molecular Ecology Resources, August 2023
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Title
A new genomic resource to enable standardized surveys of SNPs across the native range of brook trout (Salvelinus fontinalis)
Published in
Molecular Ecology Resources, August 2023
DOI 10.1111/1755-0998.13853
Pubmed ID
Authors

Nadya R. Mamoozadeh, Andrew R. Whiteley, Benjamin H. Letcher, David C. Kazyak, Charlene Tarsa, Mariah H. Meek

Abstract

Understanding how genetic diversity is distributed across spatiotemporal scales in species of conservation or management concern is critical for identifying large-scale mechanisms affecting local conservation status and implementing large-scale biodiversity monitoring programmes. However, cross-scale surveys of genetic diversity are often impractical within single studies, and combining datasets to increase spatiotemporal coverage is frequently impeded by using different sets of molecular markers. Recently developed molecular tools make surveys based on standardized single-nucleotide polymorphism (SNP) panels more feasible than ever, but require existing genomic information. Here, we conduct the first survey of genome-wide SNPs across the native range of brook trout (Salvelinus fontinalis), a cold-adapted species that has been the focus of considerable conservation and management effort across eastern North America. Our dataset can be leveraged to easily design SNP panels that allow datasets to be combined for large-scale analyses. We performed restriction site-associated DNA sequencing for wild brook trout from 82 locations spanning much of the native range and domestic brook trout from 24 hatchery strains used in stocking efforts. We identified over 24,000 SNPs distributed throughout the brook trout genome. We explored the ability of these SNPs to resolve relationships across spatial scales, including population structure and hatchery admixture. Our dataset captures a wide spectrum of genetic diversity in native brook trout, offering a valuable resource for developing SNP panels. We highlight potential applications of this resource with the goal of increasing the integration of genomic information into decision-making for brook trout and other species of conservation or management concern.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Ph. D. Student 3 23%
Other 2 15%
Student > Doctoral Student 1 8%
Student > Bachelor 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 46%
Environmental Science 2 15%
Veterinary Science and Veterinary Medicine 1 8%
Computer Science 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Other 0 0%
Unknown 2 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 August 2023.
All research outputs
#16,508,403
of 24,293,076 outputs
Outputs from Molecular Ecology Resources
#1,406
of 1,724 outputs
Outputs of similar age
#84,059
of 157,809 outputs
Outputs of similar age from Molecular Ecology Resources
#19
of 23 outputs
Altmetric has tracked 24,293,076 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,724 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 157,809 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.