Evaluation of DNA yield from various tissue and sampling sources for use in single nucleotide polymorphism panels
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Abstract
Genetics studies are used by wildlife managers and researchers to gain inference into a population of a species of interest. To gain these insights, microsatellites have been the primary method; however, there currently is a shift from microsatellites to single nucleotide polymorphisms (SNPs). With the different DNA requirements between microsatellites and SNPs, an investigation into which samples can provide adequate DNA yield is warranted. Using samples that were collected from previous genetic projects from regions in the USA from 2014 to 2021, we investigated the DNA yield of eight sample categories to gain insights into which provided adequate DNA to be used in ddRADseq or already developed high- or medium-density SNP panels. We found seven sample categories that met the DNA requirements for use in all three panels, and one sample category that did not meet any of the three panels requirements; however, DNA integrity was highly variable and not all sample categories that met panel DNA requirements could be considered high quality DNA. Additionally, we used linear random-effects models to determine which covariates would have the greatest influence on DNA yield. We determined that all covariates (tissue type, storage method, preservative, DNA quality, time until DNA extraction and time after DNA extraction) could influence DNA yield.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Evaluation of DNA yield from various tissue and sampling sources for use in single nucleotide polymorphism panels |
| Series title | Scientific Reports |
| DOI | 10.1038/s41598-024-56128-9 |
| Volume | 14 |
| Year Published | 2024 |
| Language | English |
| Publisher | Springer Nature |
| Contributing office(s) | Coop Res Unit Leetown |
| Description | 11340, 8 p. |
| Country | United States |
| State | Minnesota, New York, Pennsylvania |
| Google Analytic Metrics | Metrics page |