Literature DB >> 24971467

Response of soil-associated microbial communities to intrusion of coal mine-derived acid mine drainage.

Justin S Brantner1, John M Senko.   

Abstract

A system has been identified in which coal mine-derived acid mine drainage (AMD) flows as a 0.5-cm-deep sheet over the terrestrial surface. This flow regime enhances the activities of Fe(II) oxidizing bacteria, which catalyze the oxidative precipitation of Fe from AMD. These activities give rise to Fe(III) (hydr)oxide-rich deposits (referred to as an iron mound) overlying formerly pristine soil. This iron mound has developed with no human intervention, indicating that microbiological activities associated with iron mounds may be exploited as an inexpensive and sustainable approach to remove Fe(II) from AMD. To evaluate the changes in microbial activities and communities that occur when AMD infiltrates initially pristine soil, we incubated AMD-unimpacted soil with site AMD. Continuous exposure of soil to AMD induced progressively greater rates of Fe(II) biooxidation. The development of Fe(II) oxidizing activities was enhanced by inoculation of soil with microorganisms associated with mature iron mound sediment. Evaluation of pyrosequencing-derived 16S rRNA gene sequences recovered from incubations revealed the development of microbial community characteristics that were similar to those of the mature iron mound sediment. Our results indicate that upon mixing of AMD with pristine soil, microbial communities develop that mediate rapid oxidative precipitation of Fe from AMD.

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Year:  2014        PMID: 24971467     DOI: 10.1021/es502261u

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  8 in total

1.  Diversity of the Sediment Microbial Community in the Aha Watershed (Southwest China) in Response to Acid Mine Drainage Pollution Gradients.

Authors:  Weimin Sun; Tangfu Xiao; Min Sun; Yiran Dong; Zengping Ning; Enzong Xiao; Song Tang; Jiwei Li
Journal:  Appl Environ Microbiol       Date:  2015-05-15       Impact factor: 4.792

2.  Bacterial community profile of contaminated soils in a typical antimony mining site.

Authors:  Ningning Wang; Suhuan Zhang; Mengchang He
Journal:  Environ Sci Pollut Res Int       Date:  2016-12-30       Impact factor: 4.223

3.  Phthalate esters and organochlorine pesticides in agricultural soils and vegetables from fast-growing regions: a case study from eastern China.

Authors:  Jianteng Sun; Lili Pan; Daniel C W Tsang; Zhiheng Li; Lizhong Zhu; Xiangdong Li
Journal:  Environ Sci Pollut Res Int       Date:  2016-10-13       Impact factor: 4.223

4.  Diversity and functional profile of bacterial communities at Lancaster acid mine drainage dam, South Africa as revealed by 16S rRNA gene high-throughput sequencing analysis.

Authors:  Thabile Lukhele; Ramganesh Selvarajan; Hlengilizwe Nyoni; Bheki Brilliance Mamba; Titus Alfred Makudali Msagati
Journal:  Extremophiles       Date:  2019-09-13       Impact factor: 2.395

Review 5.  Indigenous microbial populations of abandoned mining sites and their role in natural attenuation.

Authors:  Satarupa Dey
Journal:  Arch Microbiol       Date:  2022-04-12       Impact factor: 2.552

6.  The Influence on Contaminant Bioavailability and Microbial Abundance of Lake Hongze by the South-to-North Water Diversion Project.

Authors:  Yu Yao; Peifang Wang; Chao Wang
Journal:  Int J Environ Res Public Health       Date:  2019-08-23       Impact factor: 3.390

7.  An integrated microbiological and electrochemical approach to determine distributions of Fe metabolism in acid mine drainage-induced "iron mound" sediments.

Authors:  Andrew M Leitholf; Chrystal E Fretz; Raymond Mahanke; Zachary Santangelo; John M Senko
Journal:  PLoS One       Date:  2019-03-26       Impact factor: 3.240

8.  Microbial Community Shifts in Response to Acid Mine Drainage Pollution Within a Natural Wetland Ecosystem.

Authors:  Oscar E Aguinaga; Anna McMahon; Keith N White; Andrew P Dean; Jon K Pittman
Journal:  Front Microbiol       Date:  2018-06-27       Impact factor: 5.640

  8 in total

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