Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Feb 19;10(1):2985.
doi: 10.1038/s41598-020-59957-6.

DNA extraction of microbial DNA directly from infected tissue: an optimized protocol for use in nanopore sequencing

Affiliations

DNA extraction of microbial DNA directly from infected tissue: an optimized protocol for use in nanopore sequencing

Karin Helmersen et al. Sci Rep. .

Abstract

Identification of bacteria causing tissue infections can be comprehensive and, in the cases of non- or slow-growing bacteria, near impossible with conventional methods. Performing shotgun metagenomic sequencing on bacterial DNA extracted directly from the infected tissue may improve time to diagnosis and targeted treatment considerably. However, infected tissue consists mainly of human DNA (hDNA) which hampers bacterial identification. In this proof of concept study, we present a modified version of the Ultra-Deep Microbiome Prep kit for DNA extraction procedure, removing additional human DNA. Tissue biopsies from 3 patients with orthopedic implant-related infections containing varying degrees of Staphylococcus aureus were included. Subsequent DNA shotgun metagenomic sequencing using Oxford Nanopore Technologies' (ONT) MinION platform and ONTs EPI2ME WIMP and ARMA bioinformatic workflows for microbe and antibiotic resistance genes identification, respectively. The modified DNA extraction protocol led to an additional ~10-fold reduction of human DNA while preserving S. aureus DNA. Including the DNA sequencing and bioinformatics analyses, the presented protocol has the potential of identifying the infection-causing pathogen in infected tissue within 7 hours after biopsy. However, due to low number of S. aureus reads, positive identification of antibiotic resistance genes was not possible.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Manufacturer’s and modified protocol of bacterial DNA extraction from human biopsies using Ultra-Deep Microbiome Prep kit (Molzym, Bremen, Germany).

Similar articles

Cited by

References

    1. Motro Y, Moran-Gilad J. Next-generation sequencing applications in clinical bacteriology. Biomolecular detection and quantification. 2017;14:1–6. doi: 10.1016/j.bdq.2017.10.002. - DOI - PMC - PubMed
    1. Leo, S. et al. Detection of Bacterial Pathogens from Broncho-Alveolar Lavage by Next-Generation Sequencing. International journal of molecular sciences18, 10.3390/ijms18092011 (2017). - PMC - PubMed
    1. Costantini L, et al. Characterization of human breast tissue microbiota from core needle biopsies through the analysis of multi hypervariable 16S-rRNA gene regions. Scientific reports. 2018;8:16893. doi: 10.1038/s41598-018-35329-z. - DOI - PMC - PubMed
    1. Chalupova M, et al. Bacterial DNA detected on pathologically changed heart valves using 16S rRNA gene amplification. Folia Microbiologica. 2018;63:707–711. doi: 10.1007/s12223-018-0611-6. - DOI - PubMed
    1. Tausch SH, et al. LiveKraken–real-time metagenomic classification of illumina data. Bioinformatics (Oxford, England) 2018;34:3750–3752. doi: 10.1093/bioinformatics/bty433. - DOI - PubMed

Publication types

MeSH terms