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- W4249764462 abstract "Tissue sample databases housed in biodiversity archives represent a vast trove of genetic resources, and these tissues are frequently destructively subsampled and provided to researchers for DNA extractions and subsequent sequencing. While obtaining a sufficient quantity of DNA for downstream applications is vital for these researchers, it is also important to preserve tissue resources for future use given that the original material is destructively and consumptively sampled with each use. It is therefore necessary to develop standardized tissue subsampling and loaning procedures to ensure that tissues are being used efficiently. In this study, we specifically focus on the efficiency of DNA extraction methods by using anuran liver and muscle tissues maintained at a biodiversity archive. We conducted a series of experiments to test whether current practices involving coarse visual assessments of tissue size are effective, how tissue mass correlates with DNA yield and concentration, and whether the amount of DNA recovered is correlated with sample age. We found that tissue samples between 2 mg and 8 mg resulted in the most efficient extractions, with tissues at the lower end of this range providing more DNA per unit mass and tissues at the higher end of this range providing more total DNA. Additionally, we found no correlation between tissue age and DNA yield. Because we find that even very small tissue subsamples tend to yield far more DNA than is required by researchers for modern sequencing applications (including whole genome shotgun sequencing), we recommend that biodiversity archives consider dramatically improving sustainable use of their archived material by providing researchers with set quantities of extracted DNA rather than with the subsampled tissues themselves." @default.
- W4249764462 created "2022-05-12" @default.
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- W4249764462 date "2019-08-12" @default.
- W4249764462 modified "2023-09-29" @default.
- W4249764462 title "Improving sustainable use of genetic resources in biodiversity archives" @default.
- W4249764462 doi "https://doi.org/10.7287/peerj.preprints.27894" @default.
- W4249764462 hasPublicationYear "2019" @default.
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