ArticleBMC genetics2019
Identification and evaluation of a core microsatellite panel for use in white-tailed deer (Odocoileus virginianus).
Article in BMC genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- SNP-RFLP Markers for the Study ofEcology and evolution · 2025Article
- Relatedness of White-Tailed Deer from Culling Efforts Within Chronic Wasting Disease Management Zones in Minnesota.Pathogens (Basel, Switzerland) · 2025Article
- Prion forensics: a multidisciplinary approach to investigate CWD at an illegal deer carcass disposal site.Prion · 2024Article
- Evaluation of DNA yield from various tissue and sampling sources for use in single nucleotide polymorphism panels.Scientific reports · 2024Article
- Large-scale assessment of genetic structure to assess risk of populations of a large herbivore to disease.Ecology and evolution · 2024Article
- Genetic diversity and population structure analysis of Philippine native pigs highlight five priority populations for conservation.Ecology and evolution · 2023Article
- Article
- Low STR variability in the threatened marsh deer, Blastocerus dichotomus, detected through amplicon sequencing in non-invasive samples.Genetics and molecular biology · 2022Article
- Comparison of sample types from white-tailed deer (Odocoileus virginianus) for DNA extraction and analyses.Scientific reports · 2021Article
- Article
- Assessment of spatial genetic structure to identify populations at risk for infection of an emerging epizootic disease.Ecology and evolution · 2020Article
- Can genetic assignment tests provide insight on the influence of captive egression on the epizootiology of chronic wasting disease?Evolutionary applications · 2020Article
- Seasonal resource partitioning between neighboring cougars in a multiprey system.Behavioral ecology : official journal of the International Society for Behavioral EcologyArticle
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMicrosatellite loci have been used extensively over the past two decades to study the genetic characteristics of non-model species. The ease of microsatellite development and ability to adapt markers from related species has led to the proliferation of available markers for many commonly studied species. Because it is often infeasible to genotype individuals across all available loci, researchers generally rely on subsets of markers. Marker choice can bias inferences made using disparate suites of loci. This has been a primary motivation for efforts to identify uniform marker panels. Here, we use the geographic distribution of previous studies to identify microsatellite loci for white-tailed deer (Odocoileus virginianus) with the potential for widespread use, and we evaluate the effectiveness of this panel in a portion of the range where few previous studies have been conducted. The purpose was to consolidate the numerous genetic resources for this species into a manageable panel and to provide a uniform methodology that improves comparisons between past and future studies.
resultsWe reviewed microsatellite panels from 58 previous or ongoing projects and identified 106 candidate loci. We developed a multiplex protocol and evaluated the efficacy of 17 of the most commonly used loci using 720 DNA samples collected from the Mid-Atlantic region of the United States of America. Amplification errors were detected in six of these loci. The 11 remaining loci were highly polymorphic, exhibited low frequencies of null alleles, and were easy to interpret with the aid of allele binning software.
conclusionsThe development of broadly-applicable, core microsatellite panels has the potential to improve repeatability and comparative ability for commonly studied species. The properties of the consolidated 11 microsatellite panel suggest that they are applicable for many common research objectives for white-tailed deer. The geographic distribution of previous studies using these markers provides a greater degree of confidence regarding the robustness to common sources of error related to amplification anomalies, such as null alleles, relative to loci with more limited use. While this does not replace further evaluation of genotyping errors, it does provide a common platform that benefits future research studies.
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