Statistical design approach enables optimised mechanical lysis for enhanced long-read soil metagenomics
Daniel G. Barber, Harry T. Child, Gabrielle R. Joslin, Lucy Wierzbicki, Richard K. Tennant · 2024
Read Statistical design approach enables optimised mechanical lysis for enhanced long-read soil metagenomics by Daniel G. Barber, Harry T. Child, Gabrielle R. Joslin, Lucy Wierzbicki, Richard K. Tennant (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11584900.txt.
Description
Reading soil DNA in long stretches sharpens microbe identification, but first the DNA must come out of the soil unbroken. Daniel Barber and co-authors used a statistical design approach in 2024 to tune the bead-beating step that cracks soil microbes open.
Gentler treatment worked better: low energy input kept DNA strands long. Their best settings, a short burst at moderate speed, lengthened fragments by seventy percent over the maker's defaults. Longer fragments assembled into longer sequences downstream. Community composition barely shifted with the gentler settings, easing fears of bias. They offer the framework for adapting extraction to other soils.
Catalog record
| CREATOR | Daniel G. Barber, Harry T. Child, Gabrielle R. Joslin, Lucy Wierzbicki, Richard K. Tennant |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |