An oligonucleotide prokaryotic acidophile microarray: its validation and its use to monitor seasonal variations in extreme acidic environments with total environmental RNA

An oligonucleotide microarray that monitors prokaryotic diversity in extremely acidic environments has been developed. The oligonucleotide probes target most known acidophilic microorganisms, including members of the Nitrospira phylum, Acidithiobacillus genus, acidobacteria, sulfur reducing bacteria, Actinobacteria and Archaea of the Ferroplasma and Thermoplasma genera. The probes were tested for their specificity against the corresponding type strain by microarray hybridization using PCR-amplified fluorescent DNA of the 16S rRNA genes. The microarray was tested and validated against well-established molecular ecology techniques such as molecular cloning and sequencing and FISH by using samples obtained from a natural extremely acidic environment, the Río Tinto (SW Spain). Also, fluorescent labelled total environmental RNA from Río Tinto samples were used as targets for microarray hybridizations. This approach allowed the detection of the most metabolically active prokaryotes of the ecosystem by simultaneously checking probes against 16S and 23S rRNAs as well as other functional genes. Seasonal and spatial variations in the relative expression of specific rRNA genes have been detected between two sampling sites that differ in several physicochemical parameters, mainly iron and sulfur content.     

Detection of genes involved in biodegradation and biotransformation in microbial communities by using 50-mer oligonucleotide microarrays

To effectively monitor biodegrading populations, a comprehensive 50-mer-based oligonucleotide microarray was developed based on most of the 2,402 known genes and pathways involved in biodegradation and metal resistance. This array contained 1,662 unique and group-specific probes with <85% similarity to their nontarget sequences. Based on artificial probes, our results showed that under hybridization conditions of 50 degrees C and 50% formamide, the 50-mer microarray hybridization can differentiate sequences having <88% similarity. Specificity tests with representative pure cultures indicated that the designed probes on the arrays appeared to be specific to their corresponding target genes. The detection limit was approximately 5 to 10 ng of genomic DNA in the absence of background DNA and 50 to 100 ng of pure-culture genomic DNA in the presence of background DNA or 1.3 x 10(7) cells in the presence of background RNA. Strong linear relationships between the signal intensity and the target DNA and RNA were observed (r(2) = 0.95 to 0.99). Application of this type of microarray to analyze naphthalene-amended enrichment and soil microcosms demonstrated that microflora changed differently depending on the incubation conditions. While the naphthalene-degrading genes from Rhodococcus-type microorganisms were dominant in naphthalene-degrading enrichments, the genes involved in naphthalene (and polyaromatic hydrocarbon and nitrotoluene) degradation from gram-negative microorganisms, such as Ralstonia, Comamonas, and Burkholderia, were most abundant in the soil microcosms. In contrast to general conceptions, naphthalene-degrading genes from Pseudomonas were not detected, although Pseudomonas is widely known as a model microorganism for studying naphthalene degradation. The real-time PCR analysis with four representative genes showed that the microarray-based quantification was very consistent with real-time PCR (r(2) = 0.74). In addition, application of the arrays to both polyaromatic-hydrocarbon- and benzene-toluene-ethylbenzene-xylene-contaminated and uncontaminated soils indicated that the developed microarrays appeared to be useful for profiling differences in microbial community structures. Our results indicate that this technology has potential as a specific, sensitive, and quantitative tool in revealing a comprehensive picture of the compositions of biodegradation genes and the microbial community in contaminated environments, although more work is needed to improve detection sensitivity.     

Detection of bacterial pathogens in municipal wastewater using an oligonucleotide microarray and real-time quantitative PCR

As a first step toward building a comprehensive microarray, two low density DNA microarrays were constructed and evaluated for the accurate detection of wastewater pathogens. The first one involved the direct hybridization of wastewater microbial genomic DNA to the functional gene probes while the second involved PCR amplification of 23S ribosomal DNA. The genomic DNA microarray employed 10 functional genes as detection targets. Sensitivity of the microarray was determined to be approximately 1.0 microg of Esherichia coli genomic DNA, or 2 x 10(8) copies of the target gene, and only E. coli DNA was detected with the microarray assay using municipal raw sewage. Sensitivity of the microarray was enhanced approximately by 6 orders of magnitude when the target 23S rRNA gene sequences were PCR amplified with a novel universal primer set and allowed hybridization to 24 species-specific oligonucleotide probes. The minimum detection limit was estimated to be about 100 fg of E. coli genomic DNA or 1.4 x 10(2) copies of the 23S rRNA gene. The PCR amplified DNA microarray successfully detected multiple bacterial pathogens in wastewater. As a parallel study to verify efficiency of the DNA microarray, a real-time quantitative PCR assay was also developed based on the fluorescent TaqMan probes (Applied Biosystems).     

Detection of Genes Involved in Biodegradation and Biotransformation in Microbial Communities by Using 50-Mer Oligonucleotide Microarrays

To effectively monitor biodegrading populations, a comprehensive 50-mer-based oligonucleotide microarray was developed based on most of the 2,402 known genes and pathways involved in biodegradation and metal resistance. This array contained 1,662 unique and group-specific probes with <85% similarity to their nontarget sequences. Based on artificial probes, our results showed that under hybridization conditions of 50°C and 50% formamide, the 50-mer microarray hybridization can differentiate sequences having <88% similarity. Specificity tests with representative pure cultures indicated that the designed probes on the arrays appeared to be specific to their corresponding target genes. The detection limit was ~5 to 10 ng of genomic DNA in the absence of background DNA and 50 to 100 ng of pure-culture genomic DNA in the presence of background DNA or 1.3 × 10⁷ cells in the presence of background RNA. Strong linear relationships between the signal intensity and the target DNA and RNA were observed (r² = 0.95 to 0.99). Application of this type of microarray to analyze naphthalene-amended enrichment and soil microcosms demonstrated that microflora changed differently depending on the incubation conditions. While the naphthalene-degrading genes from Rhodococcus-type microorganisms were dominant in naphthalene-degrading enrichments, the genes involved in naphthalene (and polyaromatic hydrocarbon and nitrotoluene) degradation from gram-negative microorganisms, such as Ralstonia, Comamonas, and Burkholderia, were most abundant in the soil microcosms. In contrast to general conceptions, naphthalene-degrading genes from Pseudomonas were not detected, although Pseudomonas is widely known as a model microorganism for studying naphthalene degradation. The real-time PCR analysis with four representative genes showed that the microarray-based quantification was very consistent with real-time PCR (r² = 0.74). In addition, application of the arrays to both polyaromatic-hydrocarbon- and benzene-toluene-ethylbenzene-xylene-contaminated and uncontaminated soils indicated that the developed microarrays appeared to be useful for profiling differences in microbial community structures. Our results indicate that this technology has potential as a specific, sensitive, and quantitative tool in revealing a comprehensive picture of the compositions of biodegradation genes and the microbial community in contaminated environments, although more work is needed to improve detection sensitivity.     

Development and validation of a prototype 16S rRNA-based taxonomic microarray for Alphaproteobacteria

The microarray approach has been proposed for high throughput analysis of the microbial community by providing snapshots of the microbial diversity under different environmental conditions. For this purpose, a prototype of a 16S rRNA-based taxonomic microarray was developed and evaluated for assessing bacterial community diversity. The prototype microarray is composed of 122 probes that target bacteria at various taxonomic levels from phyla to species (mostly Alphaproteobacteria). The prototype microarray was first validated using bacteria in pure culture. Differences in the sequences of probes and potential target DNAs were quantified as weighted mismatches (WMM) in order to evaluate hybridization reliability. As a general feature, probes having a WMM > 2 with target DNA displayed only 2.8% false positives. The prototype microarray was subsequently tested with an environmental sample, which consisted of an Agrobacterium-related polymerase chain reaction amplicon from a maize rhizosphere bacterial community. Microarray results were compared to results obtained by cloning-sequencing with the same DNA. Microarray analysis enabled the detection of all 16S rRNA gene sequences found by cloning-sequencing. Sequences representing only 1.7% of the clone library were detected. In conclusion, this prototype 16S rRNA-based taxonomic microarray appears to be a promising tool for the analysis of Alphaproteobacteria in complex ecosystems.     

Diversity and activity of methanotrophs in alkaline soil from a Chinese coal mine

Culture-independent molecular biological techniques, including 16S rRNA gene and functional gene clone libraries and microarray analyses using pmoA (encoding a key subunit of particulate methane monooxygenase), were applied to investigate the methanotroph community structure in alkaline soil from a Chinese coal mine. This environment contained a high diversity of methanotrophs, including the type II methanotrophs Methylosinus / Methylocystis , type I methanotrophs related to Methylobacter / Methylosoma and Methylococcus , and a number of as yet uncultivated methanotrophs. In order to identify the metabolically active methane-oxidizing bacteria from this alkaline environment, DNA stable isotope probing (DNA-SIP) experiments using ¹³CH₄ were carried out. This showed that both type I and type II methanotrophs were active, together with methanotrophs related to Methylocella , which had previously been found only in acidic environments. Methylotrophs, including Methylopila and Hyphomicrobium , were also detected in soil DNA and after DNA-SIP experiments. DNA sequence information on the most abundant, active methanotrophs in this alkaline soil will facilitate the design of oligonucleotide probes to monitor enrichment cultures when isolating key alkaliphilic methanotrophs from such environments.     

Design and Performance of rRNA Targeted Oligonucleotide Probes for in Situ Detection and Phylogenetic Identification of Microorganisms Inhabiting Acid Mine Drainage Environments

At Iron Mountain, CA, there is an extreme occurrence of acid mine drainage (AMD). This is a result of past mining activity that has exposed a sulfide ore body to weathering and microbial activity. This study presents seven new oligonucleotide probes for the detection of microorganisms at this AMD site by fluorescent in situ hybridization. In the design of these probes we have accounted for a large body of 16S rRNA sequence data recently compiled by us. This was obtained by PCR and cloning directly from environmental DNA and was mostly represented by novel sequences. The probes were developed to include detection of novel and uncultivated organisms. This includes detection for the Thermoplasmales group, a new group of Leptospirillum, the genus Sulfobacillus, the Acidiphilium genus, Acidimicrobium and relatives, and for organisms within the delta Proteobacteria. These probes have been used to examine the abundance and distribution of organisms, including novel and uncultivated taxa, and to clarify their potential contributions to AMD production at the site. We anticipate that these probes will be useful tools for exploration of the microbiology of other natural acidic environments and bioleaching systems.     

Genomic insights into the iron uptake mechanisms of the biomining microorganism Acidithiobacillus ferrooxidans

Commercial bioleaching of copper and the biooxidation of gold is a cost-effective and environmentally friendly process for metal recovery. A partial genome sequence of the acidophilic, bioleaching bacterium Acidithiobacillus ferrooxidans is available from two public sources. This information has been used to build preliminary models that describe how this microorganism confronts unusually high iron loads in the extremely acidic conditions (pH 2) found in natural environments and in bioleaching operations. A. ferrooxidans contains candidate genes for iron uptake, sensing, storage, and regulation of iron homeostasis. Predicted proteins exhibit significant amino acid similarity with known proteins from neutrophilic organisms, including conservation of functional motifs, permitting their identification by bioinformatics tools and allowing the recognition of common themes in iron transport across distantly related species. However, significant differences in amino acid sequence were detected in pertinent domains that suggest ways in which the periplasmic and outer membrane proteins of A. ferrooxidans maintain structural integrity and relevant protein-protein contacts at low pH. Unexpectedly, the microorganism also contains candidate genes, organized in operon-like structures that potentially encode at least 11 siderophore systems for the uptake of Fe(III), although it does not exhibit genes that could encode the biosynthesis of the siderophores themselves. The presence of multiple Fe(III) uptake systems suggests that A. ferrooxidans can inhabit aerobic environments where iron is scarce and where siderophore producers are present. It may also help to explain why it cannot tolerate high Fe(III) concentrations in bioleaching operations where it is out-competed by Leptospirillum species.     

Lessons from the genomes of extremely acidophilic bacteria and archaea with special emphasis on bioleaching microorganisms

This mini-review describes the current status of recent genome sequencing projects of extremely acidophilic microorganisms and highlights the most current scientific advances emerging from their analysis. There are now at least 56 draft or completely sequenced genomes of acidophiles including 30 bacteria and 26 archaea. There are also complete sequences for 38 plasmids, 29 viruses, and additional DNA sequence information of acidic environments is available from eight metagenomic projects. A special focus is provided on the genomics of acidophiles from industrial bioleaching operations. It is shown how this initial information provides a rich intellectual resource for microbiologists that has potential to open innovative and efficient research avenues. Examples presented illustrate the use of genomic information to construct preliminary models of metabolism of individual microorganisms. Most importantly, access to multiple genomes allows the prediction of metabolic and genetic interactions between members of the bioleaching microbial community (ecophysiology) and the investigation of major evolutionary trends that shape genome architecture and evolution. Despite these promising beginnings, a major conclusion is that the genome projects help focus attention on the tremendous effort still required to understand the biological principles that support life in extremely acidic environments, including those that might allow engineers to take appropriate action designed to improve the efficiency and rate of bioleaching and to protect the environment.     

Genomic insights into the iron uptake mechanisms of the biomining microorganism Acidithiobacillus ferrooxidans

Commercial bioleaching of copper and the biooxidation of gold is a cost-effective and environmentally friendly process for metal recovery. A partial genome sequence of the acidophilic, bioleaching bacterium Acidithiobacillus ferrooxidans is available from two public sources. This information has been used to build preliminary models that describe how this microorganism confronts unusually high iron loads in the extremely acidic conditions (pH 2) found in natural environments and in bioleaching operations. A. ferrooxidans contains candidate genes for iron uptake, sensing, storage, and regulation of iron homeostasis. Predicted proteins exhibit significant amino acid similarity with known proteins from neutrophilic organisms, including conservation of functional motifs, permitting their identification by bioinformatics tools and allowing the recognition of common themes in iron transport across distantly related species. However, significant differences in amino acid sequence were detected in pertinent domains that suggest ways in which the periplasmic and outer membrane proteins of A. ferrooxidans maintain structural integrity and relevant protein-protein contacts at low pH. Unexpectedly, the microorganism also contains candidate genes, organized in operon-like structures that potentially encode at least 11 siderophore systems for the uptake of Fe(III), although it does not exhibit genes that could encode the biosynthesis of the siderophores themselves. The presence of multiple Fe(III) uptake systems suggests that A. ferrooxidans can inhabit aerobic environments where iron is scarce and where siderophore producers are present. It may also help to explain why it cannot tolerate high Fe(III) concentrations in bioleaching operations where it is out-competed by Leptospirillum species.

     

Effects of target length on the hybridization efficiency and specificity of rRNA-based oligonucleotide microarrays

The effect of target size on microarray hybridization efficiencies and specificity was investigated using a set of 166 oligonucleotide probes targeting the 16S rRNA gene of Escherichia coli. The targets included unfragmented native rRNA, fragmented rRNA ( approximately 20 to 100 bp), PCR amplicons (93 to 1,480 bp), and three synthetic single-stranded DNA oligonucleotides (45 to 56 bp). Fluorescence intensities of probes hybridized with targets were categorized into classes I (81 to 100% relative to the control probe), II (61 to 80%), III (41 to 60%), IV (21 to 40%), V (6 to 20%), and VI (0 to 5%). Good hybridization efficiency was defined for those probes conferring intensities in classes I to IV; those in classes V and VI were regarded as weak and false-negative signals, respectively. Using unfragmented native rRNA, 13.9% of the probes had fluorescence intensities in classes I to IV, whereas the majority (57.8%) exhibited false-negative signals. Similar trends were observed for the 1,480-bp PCR amplicon (6.6% of the probes were in classes I to IV). In contrast, after hybridization of fragmented rRNA, the percentage of probes in classes I to IV rose to 83.1%. Likewise, when DNA target sizes were reduced from 1,480 bp to 45 bp, this percentage increased approximately 14-fold. Overall, microarray hybridization efficiencies and specificity were improved with fragmented rRNA (20 to 100 bp), short PCR amplicons (<150 bp), and synthetic targets (45 to 56 bp). Such an understanding is important to the application of DNA microarray technology in microbial community studies.     

基因芯片技术检测3种肠道病原微生物方法的建立

目的:建立一种运用多重PCR和基因芯片技术检测和鉴定伤寒沙门氏菌、痢疾杆菌和单核细胞增生利斯特菌的方法。方法:分别选取伤寒沙门氏菌染色体ViaB区域中编码调控Vi抗原表达的基因(vipR)、痢疾杆菌编码侵袭质粒抗原H基因(ipaH)和单核细胞增生利斯特菌溶血素基因(hlyA)设计引物和探针,探针3'端进行氨基修饰,下游引物标记荧光素Cy3。在优化的PCR和杂交反应条件下,进行三重PCR扩增,产物与包括3种致病菌特异性探针的基因芯片杂交。在评价基因芯片的特异性和灵敏度之后,对临床样本进行检测。结果:只有3种目的致病菌的PCR产物在相应探针位置出现特异性信号,其他阴性细菌均无信号出现;3种致病菌的检测灵敏度均可达到103CFU/mL;检测30例临床样本的结果与常规细菌学培养结果一致。结论:所建立的可同时检测伤寒沙门氏菌、痢疾杆菌和单核细胞增生利斯特菌的基因芯片方法快速、准确,特异性高,重复性好,为3种肠道致病菌的快速检测和鉴定提供了新方法和新思路。     

Functional gene diversity of oolitic sands from Great Bahama Bank

Despite the importance of oolitic depositional systems as indicators of climate and reservoirs of inorganic C, little is known about the microbial functional diversity, structure, composition, and potential metabolic processes leading to precipitation of carbonates. To fill this gap, we assess the metabolic gene carriage and extracellular polymeric substance (EPS) development in microbial communities associated with oolitic carbonate sediments from the Bahamas Archipelago. Oolitic sediments ranging from high‐energy ‘active’ to lower energy ‘non‐active’ and ‘microbially stabilized’ environments were examined as they represent contrasting depositional settings, mostly influenced by tidal flows and wave‐generated currents. Functional gene analysis, which employed a microarray‐based gene technology, detected a total of 12 432 of 95 847 distinct gene probes, including a large number of metabolic processes previously linked to mineral precipitation. Among these, gene‐encoding enzymes for denitrification, sulfate reduction, ammonification, and oxygenic/anoxygenic photosynthesis were abundant. In addition, a broad diversity of genes was related to organic carbon degradation, and N₂ fixation implying these communities has metabolic plasticity that enables survival under oligotrophic conditions. Differences in functional genes were detected among the environments, with higher diversity associated with non‐active and microbially stabilized environments in comparison with the active environment. EPS showed a gradient increase from active to microbially stabilized communities, and when combined with functional gene analysis, which revealed genes encoding EPS‐degrading enzymes (chitinases, glucoamylase, amylases), supports a putative role of EPS‐mediated microbial calcium carbonate precipitation. We propose that carbonate precipitation in marine oolitic biofilms is spatially and temporally controlled by a complex consortium of microbes with diverse physiologies, including photosynthesizers, heterotrophs, denitrifiers, sulfate reducers, and ammonifiers.     

Multipathogen oligonucleotide microarray for environmental and biodefense applications

Food-borne pathogens are a major health problem. The large and diverse number of microbial pathogens and their virulence factors has fueled interest in technologies capable of detecting multiple pathogens and multiple virulence factors simultaneously. Some of these pathogens and their toxins have potential use as bioweapons. DNA microarray technology allows the simultaneous analysis of thousands of sequences of DNA in a relatively short time, making it appropriate for biodefense and for public health uses. This paper describes methods for using DNA microarrays to detect and analyze microbial pathogens. The FDA-1 microarray was developed for the simultaneous detection of several food-borne pathogens and their virulence factors including Listeria spp., Campylobacter spp., Staphylococcus aureus enterotoxin genes and Clostridium perfringens toxin genes. Three elements were incorporated to increase confidence in the microarray detection system: redundancy of genes, redundancy of oligonucleotide probes (oligoprobes) for a specific gene, and quality control oligoprobes to monitor array spotting and target DNA hybridization. These elements enhance the reliability of detection and reduce the chance of erroneous results due to the genetic variability of microbes or technical problems with the microarray. The results presented demonstrate the potential of oligonucleotide microarrays for detection of environmental and biodefense relevant microbial pathogens.     

Seasonal changes in bacterial and archaeal gene expression patterns across salinity gradients in the Columbia River coastal margin

Through their metabolic activities, microbial populations mediate the impact of high gradient regions on ecological function and productivity of the highly dynamic Columbia River coastal margin (CRCM). A 2226-probe oligonucleotide DNA microarray was developed to investigate expression patterns for microbial genes involved in nitrogen and carbon metabolism in the CRCM. Initial experiments with the environmental microarrays were directed toward validation of the platform and yielded high reproducibility in multiple tests. Bioinformatic and experimental validation also indicated that >85% of the microarray probes were specific for their corresponding target genes and for a few homologs within the same microbial family. The validated probe set was used to query gene expression responses by microbial assemblages to environmental variability. Sixty-four samples from the river, estuary, plume, and adjacent ocean were collected in different seasons and analyzed to correlate the measured variability in chemical, physical and biological water parameters to differences in global gene expression profiles. The method produced robust seasonal profiles corresponding to pre-freshet spring (April) and late summer (August). Overall relative gene expression was high in both seasons and was consistent with high microbial abundance measured by total RNA, heterotrophic bacterial production, and chlorophyll a. Both seasonal patterns involved large numbers of genes that were highly expressed relative to background, yet each produced very different gene expression profiles. April patterns revealed high differential gene expression in the coastal margin samples (estuary, plume and adjacent ocean) relative to freshwater, while little differential gene expression was observed along the river-to-ocean transition in August. Microbial gene expression profiles appeared to relate, in part, to seasonal differences in nutrient availability and potential resource competition. Furthermore, our results suggest that highly-active particle-attached microbiota in the Columbia River water column may perform dissimilatory nitrate reduction (both dentrification and DNRA) within anoxic particle microniches.     

Parallel characterization of anaerobic toluene- and ethylbenzene-degrading microbial consortia by PCR-denaturing gradient gel electrophoresis,RNA-DNA membrane hybridization,and DNA microarray technology

A mesophilic toluene-degrading consortium (TDC) and an ethylbenzene-degrading consortium (EDC) were established under sulfate-reducing conditions. These consortia were first characterized by denaturing gradient gel electrophoresis (DGGE) fingerprinting of PCR-amplified 16S rRNA gene fragments, followed by sequencing. The sequences of the major bands (T-1 and E-2) belonging to TDC and EDC, respectively, were affiliated with the family Desulfobacteriaceae. Another major band from EDC (E-1) was related to an uncultured non-sulfate-reducing soil bacterium. Oligonucleotide probes specific for the 16S rRNAs of target organisms corresponding to T-1, E-1, and E-2 were designed, and hybridization conditions were optimized for two analytical formats, membrane and DNA microarray hybridization. Both formats were used to characterize the TDC and EDC, and the results of both were consistent with DGGE analysis. In order to assess the utility of the microarray format for analysis of environmental samples, oil-contaminated sediments from the coast of Kuwait were analyzed. The DNA microarray successfully detected bacterial nucleic acids from these samples, but probes targeting specific groups of sulfate-reducing bacteria did not give positive signals. The results of this study demonstrate the limitations and the potential utility of DNA microarrays for microbial community analysis.     

Comprehensive DNA microarray analysis of Bacillus subtilis two-component regulatory systems.

It has recently been shown through DNA microarray analysis of Bacillus subtilis two-component regulatory systems (DegS-DegU, ComP-ComA, and PhoR-PhoP) that overproduction of a response regulator of the two-component systems in the background of a deficiency of its cognate sensor kinase affects the regulation of genes, including its target ones. The genome-wide effect on gene expression caused by the overproduction was revealed by DNA microarray analysis. In the present work, we newly analyzed 24 two-component systems by means of this strategy, leaving out 8 systems to which it was unlikely to be applicable. This analysis revealed various target gene candidates for these two-component systems. It is especially notable that interesting interactions appeared to take place between several two-component systems. Moreover, the probable functions of some unknown two-component systems were deduced from the list of their target gene candidates. This work is heuristic but provides valuable information for further study toward a comprehensive understanding of the B. subtilis two-component regulatory systems. The DNA microarray data obtained in this work are available at the KEGG Expression Database website (http://www.genome.ad.jp/kegg/expression).     

Application of clone library analysis and real-time PCR for comparison of microbial communities in a low-grade copper sulfide ore bioheap leachate

The microbial communities of leachate from a bioleaching heap located in China were analyzed using the 16S rRNA gene clone library and real-time quantitative PCR. Both methods showed that Leptospirillum spp. were the dominant bacteria, and Ferroplasma acidiphilum were the only archaea detected in the leachate. Clone library results indicated that nine operational taxonomic units (OTUs) were obtained, which fell into four divisions, the Nitrospirae (74%), the γ-Proteobacteria (14%), the Actinobacteria (6%) and the Euryarchaeota (6%). The results obtained by real-time PCR in some ways were the same as clone library analysis. Furthermore, Sulfobacillus spp., detected only by real-time PCR, suggests that real-time PCR was a reliable technology to study the microbial communities in bioleaching environments. It is a useful tool to assist clone library analysis, to further understand microbial consortia and to have comprehensive and exact microbiological information about bioleaching environments. Finally, the interactions among the microorganisms detected in the leachate were summarized according to the characteristics of these species.