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Targeting RNA with Next‐ and Third‐Generation Sequencing Improves Pathogen Identification in Clinical Samples

Authors :
Na Zhao
Jiabao Cao
Jiayue Xu
Beibei Liu
Bin Liu
Dingqiang Chen
Binbin Xia
Liang Chen
Wenhui Zhang
Yuqing Zhang
Xuan Zhang
Zhimei Duan
Kaifei Wang
Fei Xie
Kun Xiao
Wei Yan
Lixin Xie
Hongwei Zhou
Jun Wang
Source :
Advanced Science, Vol 8, Iss 23, Pp n/a-n/a (2021)
Publication Year :
2021
Publisher :
Wiley, 2021.

Abstract

Abstract Fast and accurate identification of microbial pathogens is critical for the proper treatment of infections. Traditional culture‐based diagnosis in clinics is increasingly supplemented by metagenomic next‐generation‐sequencing (mNGS). Here, RNA/cDNA‐targeted sequencing (meta‐transcriptomics using NGS (mtNGS)) is established to reduce the host nucleotide percentage in clinic samples and by combining with Oxford Nanopore Technology (ONT) platforms (meta‐transcriptomics using third‐generation sequencing, mtTGS) to improve the sequencing time. It shows that mtNGS improves the ratio of microbial reads, facilitates bacterial identification using multiple‐strategies, and discovers fungi, viruses, and antibiotic resistance genes, and displaying agreement with clinical findings. Furthermore, longer reads in mtTGS lead to additional improvement in pathogen identification and also accelerate the clinical diagnosis. Additionally, primary tests utilizing direct‐RNA sequencing and targeted sequencing of ONT show that ONT displays important potential but must be further developed. This study presents the potential of RNA‐targeted pathogen identification in clinical samples, especially when combined with the newest developments in ONT.

Details

Language :
English
ISSN :
21983844
Volume :
8
Issue :
23
Database :
Directory of Open Access Journals
Journal :
Advanced Science
Publication Type :
Academic Journal
Accession number :
edsdoj.b0ae6ca378244dbdb93771b99e160b1e
Document Type :
article
Full Text :
https://doi.org/10.1002/advs.202102593