Literature DB >> 12879307

Methanogen population in a marine biofilm corrosive to mild steel.

T Zhang1, H H P Fang, B C B Ko.   

Abstract

This study was conducted to analyze the methanogen population in a corrosive marine biofilm based on 16S rDNA analysis, using a PCR-cloning-sequencing approach. There were 80 methanogen clones developed from the PCR-amplified DNA extracted from the biofilm on the mild steel surface. All clones were categorized into one of five operational taxonomy units (OTUs). Two OTUs (comprising 57 clones) were affiliated with the acetotrophic Methanosaeta genus; the remaining three OTUs (23 clones) were affiliated with the hydrogenotrophic genera of Methanogenium, Methanoplanus and Methanocalculus. The hydrogenotrophic methanogens could directly cause metal corrosion through cathodic depolarization, whereas the acetotrophic methanogens grew syntrophically with corrosion-causing sulfate-reducing bacteria, as observed by fluorescent in situ hybridization, and thus contribute indirectly to metal corrosion.

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Year:  2003        PMID: 12879307     DOI: 10.1007/s00253-003-1396-2

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  15 in total

1.  Analysis of Bacterial Community Composition of Corroded Steel Immersed in Sanya and Xiamen Seawaters in China via Method of Illumina MiSeq Sequencing.

Authors:  Xiaohong Li; Jizhou Duan; Hui Xiao; Yongqian Li; Haixia Liu; Fang Guan; Xiaofan Zhai
Journal:  Front Microbiol       Date:  2017-09-12       Impact factor: 5.640

2.  Methanogen Population of an Oil Production Skimmer Pit and the Effects of Environmental Factors and Substrate Availability on Methanogenesis and Corrosion Rates.

Authors:  Okoro Chuma Conlette; Nwezza Elebe Emmanuel; Okpokwasili Gideon Chijoke
Journal:  Microb Ecol       Date:  2016-04-13       Impact factor: 4.552

3.  Complementary Microorganisms in Highly Corrosive Biofilms from an Offshore Oil Production Facility.

Authors:  Adrien Vigneron; Eric B Alsop; Brian Chambers; Bartholomeus P Lomans; Ian M Head; Nicolas Tsesmetzis
Journal:  Appl Environ Microbiol       Date:  2016-04-04       Impact factor: 4.792

4.  Lab Case Study of Microbiologically Influenced Corrosion and Rietveld Quantitative Phase Analysis of X-ray Powder Diffraction Data of Deposits from a Refinery.

Authors:  Husam S Khanfar; Husin Sitepu
Journal:  ACS Omega       Date:  2021-04-26

5.  A Win-Loss Interaction on Fe0 Between Methanogens and Acetogens From a Climate Lake.

Authors:  Paola Andrea Palacios; Warren Russell Francis; Amelia-Elena Rotaru
Journal:  Front Microbiol       Date:  2021-05-13       Impact factor: 5.640

6.  Origin of phagotrophic eukaryotes as social cheaters in microbial biofilms.

Authors:  Gáspár Jékely
Journal:  Biol Direct       Date:  2007-01-19       Impact factor: 4.540

7.  Microbially influenced corrosion communities associated with fuel-grade ethanol environments.

Authors:  Charles H D Williamson; Luke A Jain; Brajendra Mishra; David L Olson; John R Spear
Journal:  Appl Microbiol Biotechnol       Date:  2015-06-20       Impact factor: 4.813

8.  Diversity and Composition of Sulfate-Reducing Microbial Communities Based on Genomic DNA and RNA Transcription in Production Water of High Temperature and Corrosive Oil Reservoir.

Authors:  Xiao-Xiao Li; Jin-Feng Liu; Lei Zhou; Serge M Mbadinga; Shi-Zhong Yang; Ji-Dong Gu; Bo-Zhong Mu
Journal:  Front Microbiol       Date:  2017-06-07       Impact factor: 5.640

9.  Use of Homogeneously-Sized Carbon Steel Ball Bearings to Study Microbially-Influenced Corrosion in Oil Field Samples.

Authors:  Gerrit Voordouw; Priyesh Menon; Tijan Pinnock; Mohita Sharma; Yin Shen; Amanda Venturelli; Johanna Voordouw; Aoife Sexton
Journal:  Front Microbiol       Date:  2016-03-24       Impact factor: 5.640

10.  Microbial Methane Production Associated with Carbon Steel Corrosion in a Nigerian Oil Field.

Authors:  Jaspreet Mand; Hyung S Park; Chuma Okoro; Bart P Lomans; Seun Smith; Leo Chiejina; Gerrit Voordouw
Journal:  Front Microbiol       Date:  2016-01-11       Impact factor: 5.640

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