Genomics

Dataset Information

0

Microarray-based Characterization of Microbial Community Functional Structure and Heterogeneity Associated with Acid Mine Drainages


ABSTRACT: To effectively monitor microbial populations in acidic environments and bioleaching systems, a comprehensive 50-mer-based oligonucleotide microarray was developed based on most of the known genes associated with the acidophiles. This array contained 1,072 probes in which there were 571 related to 16S rRNA and 501 related to functional genes. Acid mine drainage (AMD) presents numerous problems to the aquatic life and surrounding ecosystems. However, little is known about the geographic distribution, diversity, composition, structure and function of AMD microbial communities. In this study, we analyzed the geographic distribution of AMD microbial communities from twenty sites using restriction fragment length polymorphism (RFLP) analysis of 16S rRNA genes, and the results showed that AMD microbial communities were geographically distributed and had high variations among different sites. Then an AMD-specific microarray was used to further analyze nine AMD microbial communities, and showed that those nine AMD microbial communities had high variations measured by the number of detected genes, overlapping genes between samples, unique genes, and diversity indices. Statistical analyses indicated that the concentrations of Fe, S, Ca, Mg, Zn, Cu and pH had strong impacts on both phylogenetic and functional diversity, composition, and structure of AMD microbial communities. This study provides insights into our understanding of the geographic distribution, diversity, composition, structure and functional potential of AMD microbial communities and key environmental factors shaping them.

ORGANISM(S): unidentified microorganism

PROVIDER: GSE27542 | GEO | 2011/03/08

SECONDARY ACCESSION(S): PRJNA138563

REPOSITORIES: GEO

Similar Datasets

2011-03-08 | E-GEOD-27542 | biostudies-arrayexpress
2010-11-13 | E-GEOD-25227 | biostudies-arrayexpress
2014-07-22 | GSE59620 | GEO
2014-07-22 | E-GEOD-59620 | biostudies-arrayexpress
2010-11-13 | GSE25227 | GEO
2024-04-14 | E-MTAB-13075 | biostudies-arrayexpress
2014-12-22 | E-GEOD-64368 | biostudies-arrayexpress
2016-06-15 | E-GEOD-68712 | biostudies-arrayexpress
2014-12-22 | E-GEOD-64286 | biostudies-arrayexpress
2018-11-09 | GSE100263 | GEO