1. PathoTracker: an online analytical metagenomic platform for Klebsiella pneumoniae feature identification and outbreak alerting.
- Author
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Wang, Shuyi, Sun, Shijun, Wang, Qi, Chen, Hongbin, Guo, Yifan, Cai, Meng, Yin, Yuyao, Ma, Shuai, and Wang, Hui
- Subjects
KLEBSIELLA pneumoniae ,HORIZONTAL gene transfer ,METAGENOMICS ,CARBAPENEM-resistant bacteria ,RANDOM access memory ,IDENTIFICATION - Abstract
Clinical metagenomics (CMg) Nanopore sequencing can facilitate infectious disease diagnosis. In China, sub-lineages ST11-KL64 and ST11-KL47 Carbapenem-resistant Klebsiella pneumoniae (CRKP) are widely prevalent. We propose PathoTracker, a specially compiled database and arranged method for strain feature identification in CMg samples and CRKP traceability. A database targeting high-prevalence horizontal gene transfer in CRKP strains and a ST11-only database for distinguishing two sub-lineages in China were created. To make the database user-friendly, facilitate immediate downstream strain feature identification from raw Nanopore metagenomic data, and avoid the need for phylogenetic analysis from scratch, we developed data analysis methods. The methods included pre-performed phylogenetic analysis, gene-isolate-cluster index and multilevel pan-genome database and reduced storage space by 10-fold and random-access memory by 52-fold compared with normal methods. PathoTracker can provide accurate and fast strain-level analysis for CMg data after 1 h Nanopore sequencing, allowing early warning of outbreaks. A user-friendly page (http://PathoTracker.pku.edu.cn/) was developed to facilitate online analysis, including strain-level feature, species identifications and phylogenetic analyses. PathoTracker proposed in this study will aid in the downstream analysis of CMg. This study constructed a database and platform for the characterization of Klebsiellapneumoniae in clinical metagenomic Nanopore sequencing and developed a website for online analysis. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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