Comparison Analysis of Different DNA Extraction Methods on Suitability for Long-Read Metagenomic Nanopore Sequencing

被引:12
|
作者
Zhang, Lei [1 ]
Chen, Ting [1 ,2 ]
Wang, Ye [1 ]
Zhang, Shengwei [1 ,3 ]
Lv, Qingyu [1 ]
Kong, Decong [1 ]
Jiang, Hua [1 ]
Zheng, Yuling [1 ]
Ren, Yuhao [1 ]
Huang, Wenhua [1 ]
Liu, Peng [1 ]
Jiang, Yongqiang [1 ]
机构
[1] Beijing Inst Microbiol & Epidemiol, Acad Mil Med Sci, State Key Lab Pathogen & Biosecur, Beijing, Peoples R China
[2] Anhui Med Univ, Med Ctr PLA Gen Hosp 5, Sch Clin Med 5, Hefei, Peoples R China
[3] Beijing Univ Chinese Med, Dongfang Hosp, Dept Clin Lab, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
metagenomics; mechanical lysis; enzymatic lysis; pathogen diagnosis; microbiome; BACTERIAL; PATHOGENS;
D O I
10.3389/fcimb.2022.919903
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Metagenomic next-generation sequencing (mNGS) is a novel useful strategy that is increasingly used for pathogens detection in clinic. Some emerging mNGS technologies with long-read ability are useful to decrease sequencing time and increase diagnosed accuracy, which is of great significance in rapid pathogen diagnosis. Reliable DNA extraction is considered critical for the success of sequencing; hence, there is thus an urgent need of gentle DNA extraction method to get unbiased and more integrate DNA from all kinds of pathogens. In this study, we systematically compared three DNA extraction methods (enzymatic cell lysis based on MetaPolyzyme, mechanical cell lysis based on bead beating, and the control method without pre-cell lysis, respectively) by assessing DNA yield, integrity, and the microbial diversity based on long-read nanopore sequencing of urine samples with microbial infections. Compared with the control method, the enzymatic-based method increased the average length of microbial reads by a median of 2.1-fold [Inter Quartile Range (IQR), 1.7-2.5; maximum, 4.8) in 18 of the 20 samples and the mapped reads proportion of specific species by a median of 11.8-fold (Inter Quartile Range (IQR), 6.9-32.2; maximum, 79.27]. Moreover, it provided fully (20 of 20) consistent diagnosed results to the clinical culture and more representative microbial profiles (P < 0.05), which all strongly proves the excellent performance of enzymatic-based method in long-read mNGS-based pathogen identification and potential diseases diagnosis of microbiome related.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] LONG-READ SEQUENCING FOR THE METAGENOMIC ANALYSIS OF MICROBIOMES
    Free, Tristan
    BIOTECHNIQUES, 2023, 74 (04) : 153 - 155
  • [2] Nanopore long-read sequencing of circRNAs
    Rahimi, Karim
    Nielsen, Anne Faerch
    Veno, Morten T.
    Kjems, Jorgen
    METHODS, 2021, 196 : 23 - 29
  • [3] Long-read DNA methylation analysis of hepatoblastoma genomes using a nanopore sequencing
    Nagae, Genta
    Hiyama, Eiso
    Aburatani, Hiroyuki
    CANCER SCIENCE, 2023, 114 : 1686 - 1686
  • [4] NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy
    de Koning, Willem
    Miladi, Milad
    Hiltemann, Saskia
    Heikema, Astrid
    Hays, John P.
    Flemming, Stephan
    van den Beek, Marius
    Mustafa, Dana A.
    Backofen, Rolf
    Gruening, Bjoern
    Stubbs, Andrew P.
    GIGASCIENCE, 2020, 9 (10):
  • [5] Long-read DNA methylation analysis of whole cancer genomes using a nanopore sequencing
    Nagae, Genta
    Aburatani, Hiroyuki
    CANCER SCIENCE, 2024, 115 : 399 - 399
  • [6] Comparative analysis of metagenomic classifiers for long-read sequencing datasets
    Josip Marić
    Krešimir Križanović
    Sylvain Riondet
    Niranjan Nagarajan
    Mile Šikić
    BMC Bioinformatics, 25
  • [7] Comparative analysis of metagenomic classifiers for long-read sequencing datasets
    Maric, Josip
    Krizanovic, Kresimir
    Riondet, Sylvain
    Nagarajan, Niranjan
    Sikic, Mile
    BMC BIOINFORMATICS, 2024, 25 (01)
  • [8] Optimized Extraction of Insect Genomic DNA for Long-Read Sequencing
    Oppert, Brenda
    Stoss, Samantha
    Monk, Alaysha
    Smith, Timothy
    METHODS AND PROTOCOLS, 2019, 2 (04) : 1 - 7
  • [9] Endometrial microbiome analysis using long-read nanopore sequencing technology
    Oberle, A.
    Urban, L.
    Hengstschlager, M.
    Feichtinger, W.
    Feichtinger, M.
    HUMAN REPRODUCTION, 2019, 34 : 83 - 84
  • [10] Engineering psychrophilic polymerase for nanopore long-read sequencing
    Sun, Yaping
    Ko, Danny Hsu
    Gao, Jie
    Fu, Kang
    Mao, Yuanchen
    He, Yun
    Tian, Hui
    FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2024, 12