Literature DB >> 27050827

Microbial Ecology and Evolution in the Acid Mine Drainage Model System.

Li-Nan Huang1, Jia-Liang Kuang1, Wen-Sheng Shu2.   

Abstract

Acid mine drainage (AMD) is a unique ecological niche for acid- and toxic-metals-adapted microorganisms. These low-complexity systems offer a special opportunity for the ecological and evolutionary analyses of natural microbial assemblages. The last decade has witnessed an unprecedented interest in the study of AMD communities using 16S rRNA high-throughput sequencing and community genomic and postgenomic methodologies, significantly advancing our understanding of microbial diversity, community function, and evolution in acidic environments. This review describes new data on AMD microbial ecology and evolution, especially dynamics of microbial diversity, community functions, and population genomes, and further identifies gaps in our current knowledge that future research, with integrated applications of meta-omics technologies, will fill.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Leptospirillum Group II; functional dynamics; meta-omics; microbial distribution patterns; population genomic analysis

Mesh:

Substances:

Year:  2016        PMID: 27050827     DOI: 10.1016/j.tim.2016.03.004

Source DB:  PubMed          Journal:  Trends Microbiol        ISSN: 0966-842X            Impact factor:   17.079


  24 in total

1.  Thermoplasmata and Nitrososphaeria as dominant archaeal members in acid mine drainage sediment of Malanjkhand Copper Project, India.

Authors:  Abhishek Gupta; Anumeha Saha; Pinaki Sar
Journal:  Arch Microbiol       Date:  2021-01-02       Impact factor: 2.552

2.  Comparative Analyses of the Microbial Communities Inhabiting Coal Mining Waste Dump and an Adjacent Acid Mine Drainage Creek.

Authors:  Weimin Sun; Enzong Xiao; Valdis Krumins; Yiran Dong; Baoqin Li; Jie Deng; Qi Wang; Tangfu Xiao; Jie Liu
Journal:  Microb Ecol       Date:  2019-03-11       Impact factor: 4.552

3.  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 4.  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

Review 5.  Microbial diversity in extreme environments.

Authors:  Wen-Sheng Shu; Li-Nan Huang
Journal:  Nat Rev Microbiol       Date:  2021-11-09       Impact factor: 60.633

6.  Unraveling the Effects of Cold Stratification and Temperature on the Seed Germination of Invasive Spartina alterniflora Across Latitude.

Authors:  Jingyang Cheng; Hao Huang; Wenwen Liu; Yupeng Zhou; Weipeng Han; Xiuyan Wang; Yihui Zhang
Journal:  Front Plant Sci       Date:  2022-06-29       Impact factor: 6.627

7.  Identification of Thiobacillus bacteria in agricultural soil in Iran using the 16S rRNA gene.

Authors:  Ali Beheshti Ale Agha; Danial Kahrizi; Asma Ahmadvand; Hoda Bashiri; Rosa Fakhri
Journal:  Mol Biol Rep       Date:  2018-11-15       Impact factor: 2.316

8.  Physiological, Genomic and Transcriptomic Analyses Reveal the Adaptation Mechanisms of Acidiella bohemica to Extreme Acid Mine Drainage Environments.

Authors:  Shu-Ning Ou; Jie-Liang Liang; Xiao-Min Jiang; Bin Liao; Pu Jia; Wen-Sheng Shu; Jin-Tian Li
Journal:  Front Microbiol       Date:  2021-07-08       Impact factor: 5.640

Review 9.  The Proposed Molecular Mechanisms Used by Archaea for Fe(III) Reduction and Fe(II) Oxidation.

Authors:  Yiran Dong; Yawei Shan; Kemin Xia; Liang Shi
Journal:  Front Microbiol       Date:  2021-07-01       Impact factor: 5.640

10.  Genomic Insights into the Ecological Role and Evolution of a Novel Thermoplasmata Order, "Candidatus Sysuiplasmatales".

Authors:  Yang Yuan; Jun Liu; Tao-Tao Yang; Shao-Ming Gao; Bin Liao; Li-Nan Huang
Journal:  Appl Environ Microbiol       Date:  2021-09-15       Impact factor: 4.792

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.