DNA enrichment and tagmentation method for species-level identification and strain-level differentiation using ON-rep-seq.
Clicks: 544
ID: 79781
2019
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
74.0
/100
543 views
436 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Despite the massive developments within culture-independent methods for detection of microorganisms during the last decade, culture-based methods remain a cornerstone in microbiology. Yet, the problem of rapid, accurate and inexpensive identification of bacterial isolates down to species/strain level remains unresolved. We have developed a new method for bacterial DNA enrichment and tagmentation allowing fast (<24 h) and cost-effective species level identification and strain level differentiation using the MinION portable sequencing platform (ON-rep-seq). DNA library preparation for 96 isolates takes less than 5 h and ensures highly reproducible distribution of reads that can be used to generate strain level specific read length counts profiles (LCp). We have developed a pipeline that by correcting reads error within peaks of LCp generates a set of high quality (>99%) consensus reads. Whereas, the information from high quality reads is used to retrieve species level taxonomy, comparison of LCp allows for strain level differentiation.
| Reference Key |
krych2019dnacommunications
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Krych, Łukasz;Castro-Mejía, Josué L;Forero-Junco, Laura M;Moesby, Daniel N;Mikkelsen, Morten B;Rasmussen, Morten A;Sykulski, Maciej;Nielsen, Dennis S; |
| Journal | Communications biology |
| Year | 2019 |
| DOI |
10.1038/s42003-019-0617-x
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.