Evidence map›Paper›PMID 38390379›Full record

ArticleEvolutionary applications2024

Development and evaluation of a novel single nucleotide polymorphism panel for North American bison.

Sam Stroupe, James N Derr

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Sam StroupeDepartment of Veterinary Pathobiology, College of Veterinary Medicine Texas A&M University System College Station Texas USA.
James N DerrDepartment of Veterinary Pathobiology, College of Veterinary Medicine Texas A&M University System College Station Texas USA.ORCID https://orcid.org/0000-0001-9940-5611
Texas A&M University System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide single nucleotide polymorphism (SNP) genotyping platforms have become increasingly popular in characterizing livestock and wildlife populations, replacing traditional methods such as microsatellite fragment analysis. Herein, we report the development and evaluation of a novel bison SNP panel for population management and conservation. Initially, 2474 autosomal SNPs were selected from existing bison whole-genome sequences and variable sites among bison on the GGSP bovine 50K Chip, based on minor allele frequency, data completeness, and chromosome location. Additionally, 20 mitochondrial SNPs were chosen to identify known mitochondrial haplotypes in bison according to previous research. The SNPs were further evaluated using genotyping-by-sequencing with 190 bison, representing the historical lineages that survived the major population crash of the late 1800s. Variants with high potential for genotyping error were filtered out, and the remaining SNPs were placed on a custom Illumina™ array. The final panel consisting of 798 autosomal and 13 mitochondrial SNPs was used to establish baseline genetic parameters, compare populations, and assign mitochondrial haplotypes in 995 bison across ten populations. These SNPs were also found to be highly informative for individual animal identification and parentage assignment. This SNP panel provides a powerful new method to establish a baseline for estimating genetic health of bison populations and a new tool for bison managers to make informed management decisions based on genetic information specific to their populations.

Indexed as

conservation geneticsNorth American bisonpopulation genetics – empiricalwildlife management

Identifiers

PMID38390379
PMCPMC10883761
OpenAlexW4392787368

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.