Nanopore based sequencing enables easy and accurate identification of yeasts in breweries

被引:3
|
作者
Shinohara, Yuji [1 ]
Kurniawan, Yohanes Novi [1 ]
Sakai, Hiroaki [1 ]
Magarifuchi, Tetsuro [1 ]
Suzuki, Koji [2 ]
机构
[1] Analyt Sci Labs Ltd, Asahi Qual & Innovat, Moriya, Ibaraki, Japan
[2] Asahi Qual & Innovat Ltd, Moriya, Ibaraki, Japan
关键词
brewery; beer spoilage yeasts; microbiological quality control; third generation DNA sequencing; ITS region; MULTIPLEX PCR; SPOILAGE YEASTS; STRAINS; BACTERIA; INDUSTRY;
D O I
10.1002/jib.639
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
In breweries, rapid and accurate identification of unknown microbial contaminants and the associated risk assessment of beer spoilage are of critical importance to ensure proper corrective measures are taken. In this context, the nanopore based sequencer, MinION, developed by Oxford Nanopore Technologies, is of particular interest. MinION is a low cost, portable, real time device for DNA and RNA sequencing. Recently, our group developed and evaluated a MinION sequencer based microbial identification platform for beer spoilage bacteria. In this study, it is used to identify yeast strains. The nuclear ribosomal RNA genes and their internal transcribed spacer regions from a wide variety of beer spoilage yeasts, commonly found in the brewery environment, were sequenced using two different sequencing kits - Ligation Sequencing Kit and Rapid Barcoding Kit - and analysed using consensus sequence-based approach. Comparative evaluation of Sanger sequencing and MinION sequencing was performed to evaluate the performance of the MinION platform in the identification of yeasts. Our methods successfully identified yeasts at the species level rapidly (approximately 3.5 hours from DNA extraction to data analysis), and with high accuracy that is comparable to Sanger sequencing (average percentage identity >98.9%). The MinION sequencer based microbial identification platform, equipped for both bacterial and yeast identification, is a powerful tool for on-field rapid and accurate identification of beer spoilage and brewery related microorganisms. This new identification approach will potentially revolutionise the way microbial identification is performed in brewery quality control and assurance laboratories. (c) 2021 The Institute of Brewing & Distilling
引用
收藏
页码:160 / 166
页数:7
相关论文
共 50 条
  • [1] Development of a Rapid and Accurate Nanopore-based Sequencing Platform for on-Field Identification of Beer-Spoilage Bacteria in the Breweries
    Kurniawan, Yohanes Novi
    Shinohara, Yuji
    Takesue, Nobuchika
    Sakai, Hiroaki
    Magarifuchi, Tetsuro
    Suzuki, Koji
    JOURNAL OF THE AMERICAN SOCIETY OF BREWING CHEMISTS, 2021, 79 (03) : 240 - 248
  • [2] Low-depth Raw Reads of Nanopore Sequencing Enables Rapid and Accurate Bacterial Identification
    Gao, W.
    Li, H.
    Hong, W.
    Liu, S.
    Li, J.
    Wu, Y.
    Liu, Y.
    Fan, X.
    Wang, H.
    Wang, M.
    Yang, B.
    Wang, T.
    APPLIED BIOCHEMISTRY AND MICROBIOLOGY, 2023, 59 (06) : 968 - 974
  • [3] Low-depth Raw Reads of Nanopore Sequencing Enables Rapid and Accurate Bacterial Identification
    W. Gao
    H. Li
    W. Hong
    S. Liu
    J. Li
    Y. Wu
    Y. Liu
    X. Fan
    H. Wang
    M. Wang
    B. Yang
    T. Wang
    Applied Biochemistry and Microbiology, 2023, 59 : 968 - 974
  • [4] Detection and identification of wild yeasts in lager breweries
    Kuhle, AV
    Jespersen, L
    INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY, 1998, 43 (03) : 205 - 213
  • [5] More accurate nanopore sequencing
    Rusk, Nicole
    NATURE METHODS, 2019, 16 (06) : 460 - 460
  • [6] More accurate nanopore sequencing
    Nicole Rusk
    Nature Methods, 2019, 16 : 460 - 460
  • [7] NanoSplicer: accurate identification of splice junctions using Oxford Nanopore sequencing
    You, Yupei
    Clark, Michael B.
    Shim, Heejung
    BIOINFORMATICS, 2022, 38 (15) : 3741 - 3748
  • [8] Application of nanopore sequencing for accurate identification of bioaerosol-derived bacterial colonies
    Marshall, Austin
    Fuller, Daniel T.
    Dougall, Paul
    Kumaragama, Kavindra
    Dhaniyala, Suresh
    Sur, Shantanu
    ENVIRONMENTAL SCIENCE-ATMOSPHERES, 2024, 4 (07): : 754 - 766
  • [9] RAPiD: a rapid and accurate plant pathogen identification pipeline for on-site nanopore sequencing
    Knobloch, Stephen
    Salimi, Fatemeh
    Buaya, Anthony
    Ploch, Sebastian
    Thines, Marco
    PEERJ, 2024, 12
  • [10] A dual-process of targeted and unbiased Nanopore sequencing enables accurate and rapid diagnosis of lower respiratory infections
    Guo, Yifan
    Li, Zhenzhong
    Li, Lijuan
    Li, Shan
    Sun, Lingxiao
    Yang, Xinfang
    Dai, Yan
    Gu, Ju
    Yang, Lan
    Liu, Xue
    Lu, Binghuai
    Han, Jiajing
    Chang, Kang
    Gu, Li
    Yin, Yuyao
    Sun, Shijun
    Jing, Chendi
    Chen, Hongbin
    Liu, Manjiao
    Xu, Hui
    Liu, Ryon
    Ren, Yong
    Guo, Hao
    Wang, Hui
    EBIOMEDICINE, 2023, 98