DNA signature-based approaches for bacterial detection and identification

被引:28
|
作者
Albuquerque, Pedro [1 ,2 ]
Mendes, Marta V. [1 ]
Santos, Catarina L. [1 ,2 ]
Moradas-Ferreira, Pedro [1 ,3 ]
Tavares, Fernando [1 ,2 ]
机构
[1] Univ Porto, IBMC, P-4150180 Oporto, Portugal
[2] Univ Porto, Dept Bot, Fac Ciencias, P-4150180 Oporto, Portugal
[3] Univ Porto, ICBAS, P-4150180 Oporto, Portugal
关键词
Bioinformatics; DNA signatures; Diagnostic microarrays; Diagnostic microbiology; Molecular markers; PCR; Typing methods; POLYMERASE-CHAIN-REACTION; REAL-TIME PCR; IN-SITU HYBRIDIZATION; RIBOSOMAL-RNA GENE; RALSTONIA-SOLANACEARUM; OLIGONUCLEOTIDE MICROARRAY; MULTIPLEX PCR; INTRAGENOMIC HETEROGENEITY; VIBRIO-PARAHAEMOLYTICUS; LISTERIA-MONOCYTOGENES;
D O I
10.1016/j.scitotenv.2008.10.054
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
During the late eighties, environmental microbiologists realized the potential of the polymerase chain reaction (PCR) for the design of innovative approaches to study microbial communities or to detect and identify microorganisms in diverse and complex environments. In contrast to long-established methods of cultivation-based microbial identification, PCR-based techniques allow for the identification of microorganisms regardless of their culturability. A large number of reports have been published that describe PCR-inspired methods, frequently complemented by sequencing or hybridization profiling, to infer taxonomic and clonal microbial diversity or to detect and identify microorganisms using taxa-specific genomic markers. Typing methods have been particularly useful for microbial ecology-driven studies; however, they are not suitable for diagnostic purposes, such as the detection of specific species, strains or clones. Recently, comprehensive reviews have been written describing the panoply of typing methods available and describing their advantages and limitations; however, molecular approaches for bacterial detection and identification were either not considered or only vaguely discussed. This review focuses on DNA-based methods for bacterial detection and identification, highlighting strategies for selecting taxa-specific loci and emphasizing the molecular techniques and emerging technological solutions for increasing the detection specificity and sensitivity. The massive and increasing number of available bacterial sequences in databases, together with already employed bioinformatics tools, hold promise of more reliable, fast and cost-effective methods for bacterial identification in a wide range of samples in coming years. This tendency will foster the validation and certification of these methods and their routine implementation by certified diagnostic laboratories. (c) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:3641 / 3651
页数:11
相关论文
共 50 条
  • [21] USAID: Unifying signature-based and anomaly-based intrusion detection
    Li, ZW
    Das, A
    Zhou, JY
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2005, 3518 : 702 - 712
  • [22] A survey and taxonomy of the fuzzy signature-based Intrusion Detection Systems
    Masdari, Mohammad
    Khezri, Hemn
    APPLIED SOFT COMPUTING, 2020, 92 (92)
  • [23] An aggregated signature-based fast RFID batch detection protocol
    Li, Chaoliang
    Wang, Guojun
    Zheng, Jin
    SECURITY AND COMMUNICATION NETWORKS, 2014, 7 (09) : 1364 - 1371
  • [24] SigIL: A Signature-Based Approach of Malware Detection on Intermediate Language
    Fortino, Giancarlo
    Greco, Claudia
    Guzzo, Antonella
    Ianni, Michele
    COMPUTER SECURITY. ESORICS 2023 INTERNATIONAL WORKSHOPS, CPS4CIP, PT II, 2024, 14399 : 256 - 266
  • [25] A Signature-based Assistant Random Oversampling Method for Malware Detection
    Pang, Ying
    Chen, Zhenxiang
    Peng, Lizhi
    Ma, Kun
    Zhao, Chuan
    Ji, Ke
    2019 18TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS/13TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA SCIENCE AND ENGINEERING (TRUSTCOM/BIGDATASE 2019), 2019, : 256 - 263
  • [26] Using decision trees to improve signature-based intrusion detection
    Kruegel, C
    Toth, T
    RECENT ADVANCES IN INTRUSION DETECTION, PROCEEDINGS, 2003, 2820 : 173 - 191
  • [27] Signature-Based Detection of Notable Transitions in Numeric Data Streams
    Cherniak, Andrii
    Zadorozhny, Vladimir I.
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2013, 25 (12) : 2867 - 2879
  • [28] Advanced Intrusion Detection Combining Signature-Based and Behavior-Based Detection Methods
    Kwon, Hee-Yong
    Kim, Taesic
    Lee, Mun-Kyu
    ELECTRONICS, 2022, 11 (06)
  • [29] Signature-based Detection of Privilege-Escalation Attacks on Android
    Niazi, Rafay Hassan
    Waseem, Tahir
    Shamsi, Jawwad Ahmed
    Khan, Muhammad Mubashir
    2015 CONFERENCE ON INFORMATION ASSURANCE AND CYBER SECURITY (CIACS), 2015, : 44 - 49
  • [30] Oblivious signature-based envelope
    Li, NH
    Du, WL
    Boneh, D
    DISTRIBUTED COMPUTING, 2005, 17 (04) : 293 - 302