Omics-based approaches and their use in the assessment of microbial-influenced corrosion of metals

被引:22
|
作者
Beale, David J. [1 ]
Karpe, Avinash V. [1 ,2 ]
Jadhav, Snehal [2 ]
Muster, Tim H. [3 ]
Palombo, Enzo A. [2 ]
机构
[1] CSIRO, Land & Water Flagship, POB 2583, Brisbane, Qld 4001, Australia
[2] Swinburne Univ Technol, Fac Sci Engn & Technol, Dept Chem & Biotechnol, POB 218, Hawthorn, Vic 3122, Australia
[3] CSIRO, Land & Water Flagship, PMB 2, Glen Osmond, SA 5064, Australia
关键词
corrosion; metabolomics; metagenomics; microbial corrosion; next generation sequencing; DESORPTION IONIZATION-TIME; FLIGHT MASS-SPECTROMETRY; SELECTIVE ENRICHMENT BROTH; MALDI-TOF MS; LISTERIA-MONOCYTOGENES; BACTERIAL COMMUNITIES; IDENTIFICATION; WATER; BIOFILM; TRANSFORMATION;
D O I
10.1515/corrrev-2015-0046
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
Microbial-influenced corrosion (MIC) has been known to have economic, environmental, and social implications to offshore oil and gas pipelines, concrete structures, and piped water assets. While corrosion itself is a relatively simple process, the localised manner of corrosion makes in situ assessments difficult. Furthermore, corrosion assessments tend to be measured as part of a forensic investigation. Compounding the issue further is the impact of microbiological/biofilm processes, where corrosion is influenced by the complex processes of different microorganisms performing different electrochemical reactions and secreting proteins and metabolites that can have secondary effects. While traditional microbiological culture-dependent techniques and electrochemical/physical assessments provide some insight into corrosion activity, the identity and role of microbial communities that are related to corrosion and corrosion inhibition in different materials and in different environments are scarce. One avenue to explore MIC and MIC inhibition is through the application of omics-based techniques, where insight into the bacterial population in terms of diversification and their metabolism can be further understood. As such, this paper discusses the recent progresses made in a number of fields that have used omics-based applications to improve the fundamental understanding of biofilms and MIC processes.
引用
收藏
页码:1 / 15
页数:15
相关论文
共 50 条
  • [1] Microbial-Influenced Corrosion
    Jenkins, Scott
    Chemical Engineering (United States), 2021, 128 (04):
  • [2] Omics-Based Approaches in Research on Textile Dye Microbial Decolorization
    Jasinska, Anna
    Walaszczyk, Aleksandra
    Paraszkiewicz, Katarzyna
    MOLECULES, 2024, 29 (12):
  • [3] Omics-based approaches to guide the of biomaterials
    Kersey, Anna L.
    Nguyen, Thuy-Uyen
    Nayak, Biswadeep
    Singh, Irtisha
    Gaharwar, Akhilesh K.
    MATERIALS TODAY, 2023, 64 : 98 - 120
  • [4] Enzymatic approach in microbial-influenced corrosion:: A review based on stainless steels in natural waters
    Landoulsi, J.
    El Kirat, K.
    Richard, C.
    Feron, D.
    Pulvin, S.
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2008, 42 (07) : 2233 - 2242
  • [5] The promise of omics-based approaches to cancer prevention
    Meerzaman, Daoud
    Dunn, Barbara K.
    Lee, Maxwell
    Chen, Qingrong
    Yan, Chunhua
    Ross, Sharon
    SEMINARS IN ONCOLOGY, 2016, 43 (01) : 36 - 48
  • [6] Editorial: OMICS-Based Approaches in Sports Research
    Elrayess, Mohamed A.
    Botre, Francesco
    Palermo, Amelia
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2022, 9
  • [7] Editorial: Omics-based approaches in stroke research
    Misra, Shubham
    Kumar, Pradeep
    FRONTIERS IN NEUROLOGY, 2024, 15
  • [8] Unlocking the potential of soil microbial communities for bioremediation of emerging organic contaminants: omics-based approaches
    Alidoosti, Fatemeh
    Giyahchi, Minoo
    Moien, Shabnam
    Moghimi, Hamid
    MICROBIAL CELL FACTORIES, 2024, 23 (01)
  • [9] Omics-based approaches for the systematic profiling of mitochondrial biology
    Schaefer, Jasmin Adriana
    Sutandy, F. X. Reymond
    Muench, Christian
    MOLECULAR CELL, 2023, 83 (06) : 911 - 926
  • [10] Towards omics-based risk assessment in NAFLD
    Veeral Ajmera
    Nature Metabolism, 2023, 5 : 534 - 535