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Benchmarking ultra-high molecular weight DNA preservation methods for long-read and long-range sequencing.
- Source :
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GigaScience [Gigascience] 2022 Aug 10; Vol. 11. - Publication Year :
- 2022
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Abstract
- Background: Studies in vertebrate genomics require sampling from a broad range of tissue types, taxa, and localities. Recent advancements in long-read and long-range genome sequencing have made it possible to produce high-quality chromosome-level genome assemblies for almost any organism. However, adequate tissue preservation for the requisite ultra-high molecular weight DNA (uHMW DNA) remains a major challenge. Here we present a comparative study of preservation methods for field and laboratory tissue sampling, across vertebrate classes and different tissue types.<br />Results: We find that storage temperature was the strongest predictor of uHMW fragment lengths. While immediate flash-freezing remains the sample preservation gold standard, samples preserved in 95% EtOH or 20-25% DMSO-EDTA showed little fragment length degradation when stored at 4°C for 6 hours. Samples in 95% EtOH or 20-25% DMSO-EDTA kept at 4°C for 1 week after dissection still yielded adequate amounts of uHMW DNA for most applications. Tissue type was a significant predictor of total DNA yield but not fragment length. Preservation solution had a smaller but significant influence on both fragment length and DNA yield.<br />Conclusion: We provide sample preservation guidelines that ensure sufficient DNA integrity and amount required for use with long-read and long-range sequencing technologies across vertebrates. Our best practices generated the uHMW DNA needed for the high-quality reference genomes for phase 1 of the Vertebrate Genomes Project, whose ultimate mission is to generate chromosome-level reference genome assemblies of all ∼70,000 extant vertebrate species.<br /> (© The Author(s) 2022. Published by Oxford University Press GigaScience.)
Details
- Language :
- English
- ISSN :
- 2047-217X
- Volume :
- 11
- Database :
- MEDLINE
- Journal :
- GigaScience
- Publication Type :
- Academic Journal
- Accession number :
- 35946988
- Full Text :
- https://doi.org/10.1093/gigascience/giac068