Elena González-Toril

Microbial Ecology of an Extreme Acidic Environment, the Tinto River

ABSTRACT The Tinto River (Huelva, southwestern Spain) is an extreme environment with a rather constant acidic pH along the entire river and a high concentration of heavy metals. The extreme conditions of the Tinto ecosystem are generated by the metabolic activity of chemolithotrophic microorganisms thriving in the rich complex sulfides of the Iberian Pyrite Belt. Molecular ecology techniques were used to analyze the diversity of this microbial community. The communitys composition was studied by denaturing gradient gel electrophoresis (DGGE) using 16S rRNA and by 16S rRNA gene amplification. A good correlation between the two approaches was found. Comparative sequence analysis of DGGE bands showed the presence of organisms related to Leptospirillum spp., Acidithiobacillus ferrooxidans, Acidiphilium spp., “Ferrimicrobium acidiphilum,” Ferroplasma acidiphilum, and Thermoplasma acidophilum. The different phylogenetic groups were quantified by fluorescent in situ hybridization with a set of rRNA-targeted oligonucleotide probes. More than 80% of the cells were affiliated with the domain Bacteria, with only a minor fraction corresponding to Archaea. Members of Leptospirillum ferrooxidans, Acidithiobacillus ferrooxidans, and Acidiphilium spp., all related to the iron cycle, accounted for most of the prokaryotic microorganisms detected. Different isolates of these microorganisms were obtained from the Tinto ecosystem, and their physiological properties were determined. Given the physicochemical characteristics of the habitat and the physiological properties and relative concentrations of the different prokaryotes found in the river, a model for the Tinto ecosystem based on the iron cycle is suggested.

Geomicrobiology of the Tinto River, a model of interest for biohydrometallurgy

The Tinto River (Huelva, southwestern Spain) is an extreme environment with a constant acidic pH (mean 2.3), a high concentration of heavy metals and a remarkable level of microbial diversity (bacteria, archaea, photosynthetic and heterotrophic protists, yeast and filamentous fungi). The extreme conditions found in the river are the direct consequence of the active metabolism of chemolithotrophic microorganisms thriving in the rich polymetallic sulfides present in high concentrations in the Iberian Pyritic Belt. Primary production in the river is driven mainly by oxygenic photosynthesis (protists and cyanobacteria), although an important part is also due to the activity of chemolithotrophic prokaryotes. Conventional and molecular ecology techniques were used to study the microbial ecology of the Tinto system. The results of both methods agreed. Although sulfur metabolism plays an important role in the system, iron seems to be the key element in this habitat. Iron is not only an important substrate for the rich population of iron oxidizing prokaryotes, but also an electron acceptor for anaerobic respiration in the anoxic parts of the river. It is also responsible for the maintenance of a constant acidic pH (probably critical for biodiversity) and for radiation protection. Laminar iron stromatolitic formations can be found along the river. These structures are related to massive laminated bioinduced iron formations found at different elevations above the current river. The isotopic dating of these formations leads to the conclusion that the Tinto River corresponds to a natural system and not to an industrial, contaminated site. A geomicrobiological model of this habitat encompassing most of the geological, physical, chemical and biological variables is presented and its biohydrometallurgical implications discussed.

Comparative microbial ecology study of the sediments and the water column of the Río Tinto, an extreme acidic environment

Due to its highly metalliferous waters and low pH, the Rio Tinto has shown its potential for modelling both acid mine drainage systems and biohydrometallurgical operations. Most geomicrobiological studies of these systems have focused on the oxic water column. A sequence-based approach in combination with in situ detection techniques enabled us to examine the composition and structure of the microbial communities associated with the suboxic and anoxic sediments along the river course and to compare them with the planktonic communities inhabiting the water column. The results obtained with the different approaches were consistent and revealed some major patterns: higher cell density and higher richness (75 vs. 48 operational taxonomic units) in the sediments than in the water column. The microbial communities were related but the river sediments appear to be enriched in certain populations, some of which have not previously been reported in the Rio Tinto basin. The differences detected between sampling stations along the river correlate with certain environmental parameters (e.g. iron concentration gradient). The biological and geochemical data show the importance of the sediments as representing a phase of particular high diversity, probably related to key metabolic processes within both the iron and the sulfur cycles.

Geomicrobiology of La Zarza-Perrunal Acid Mine Effluent (Iberian Pyritic Belt, Spain)

ABSTRACT Effluent from La Zarza-Perrunal, a mine on the Iberian Pyrite Belt, was chosen to be geomicrobiologically characterized along a 1,200-m stream length. The pH at the origin was 3.1, which decreased to 1.9 at the final downstream sampling site. The total iron concentration showed variations along the effluent, resulting from (i) significant hydrolysis and precipitation of Fe(III) (especially along the first reach of the stream) and (ii) concentration induced by evaporation (mostly in the last reach). A dramatic increase in iron oxidation was observed along the course of the effluent [from Fe(III)/Fetotal = 0.11 in the origin to Fe(III)/Fetotal = 0.99 at the last sampling station]. A change in the O2 content along the effluent, from nearly anoxic at the origin to saturation with oxygen at the last sampling site, was also observed. Prokaryotic and eukaryotic diversity throughout the effluent was determined by microscopy and 16S rRNA gene cloning and sequencing. Sulfate-reducing bacteria (Desulfosporosinus and Syntrophobacter) were detected only near the origin. Some iron-reducing bacteria (Acidiphilium, Acidobacterium, and Acidosphaera) were found throughout the river. Iron-oxidizing microorganisms (Leptospirillum spp., Acidithiobacillus ferrooxidans, and Thermoplasmata) were increasingly detected downstream. Changes in eukaryotic diversity were also remarkable. Algae, especially Chlorella, were present at the origin, forming continuous, green, macroscopic biofilms, subsequently replaced further downstream by sporadic Zygnematales filaments. Taking into consideration the characteristics of this acidic extreme environment and the physiological properties and spatial distribution of the identified microorganisms, a geomicrobiological model of this ecosystem is advanced.

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.

Microbial Diversity and Its Relationship to Physicochemical Characteristics of the Water in Two Extreme Acidic Pit Lakes from the Iberian Pyrite Belt (SW Spain)

The Iberian Pyrite Belt (IPB) hosts one of the world’s largest accumulations of acidic mine wastes and pit lakes. The mineralogical and textural characteristics of the IPB ores have favored the oxidation and dissolution of metallic sulfides, mainly pyrite, and the subsequent formation of acidic mining drainages. This work reports the physical properties, hydrogeochemical characteristics, and microbial diversity of two pit lakes located in the IPB. Both pit lakes are acidic and showed high concentrations of sulfate and dissolved metals. Concentrations of sulfate and heavy metals were higher in the Nuestra Señora del Carmen lake (NSC) by one order of magnitude than in the Concepción (CN) lake. The hydrochemical characteristics of NSC were typical of acid mine waters and can be compared with other acidic environments. When compared to other IPB acidic pit lakes, the superficial water of CN is more diluted than that of any of the others due, probably, to the strong influence of runoff water. Both pit lakes showed chemical and thermal stratification with well defined chemoclines. One particular characteristic of NSC is that it has developed a chemocline very close to the surface (2 m depth). Microbial community composition of the water column was analyzed by 16S and 18S rRNA gene cloning and sequencing. The microorganisms detected in NSC were characteristic of acid mine drainage (AMD), including iron oxidizing bacteria (Leptospirillum, Acidithiobacillus ferrooxidans) and facultative iron reducing bacteria and archaea (Acidithiobacillus ferrooxidans, Acidiphilium, Actinobacteria, Acidimicrobiales, Ferroplasma) detected in the bottom layer. Diversity in CN was higher than in NSC. Microorganisms known from AMD systems (Acidiphilium, Acidobacteria and Ferrovum) and microorganisms never reported from AMD systems were identified. Taking into consideration the hydrochemical characteristics of these pit lakes and the spatial distribution of the identified microorganisms, a model explaining their geomicrobiology is advanced.

Eukaryotic microbial diversity of phototrophic microbial mats in two Icelandic geothermal hot springs

The composition of the eukaryotic community and the three-dimensional structure of diverse phototrophic microbial mats from two hot springs in Iceland (Seltun and Hveradalir geothermal areas) were explored by comparing eukaryotic assemblages from microbial mats. Samples were collected in July 2007 from 15 sampling stations along thermal and pH gradients following both hot springs. Physicochemical data revealed high variability in terms of pH (ranging from 2.8 to 7), with high concentrations of heavy metals, including up to 20 g Fe/l, 80 mg Zn/l, 117 mg Cu/l, and 39 mg Ni/l at the most acidic sampling points. Phylogenetic analysis of 18S rDNA genes revealed a diversity of sequences related to several taxa, including members of the Bacillariophyta, Chlorophyta, Rhodophyta, and Euglenophyta phyla as well as ciliates, amoebae, and stramenopiles. The closest relatives to some of the sequences detected came from acidophilic organisms, even when the samples were collected at circumneutral water locations. Electron microscopy showed that most of the microecosystems analyzed were organized as phototrophic microbial mats in which filamentous cyanobacteria usually appeared as a major component. Deposits of amorphous minerals rich in silica, iron, and aluminium around the filaments were frequently detected.

Prokaryotic community structure in algal photosynthetic biofilms from extreme acidic streams in Río Tinto (Huelva, Spain).

Four algal photosynthetic biofilms were collected from the Río Tinto (SW Spain) at four localities: AG, Euglena and Pinnularia biofilms; ANG, Chlorella and Pinnularia biofilms; RI, Cyanidium and Dunaliella biofilms; and CEM, Cyanidium, Euglena and Pinnularia biofilms. Community composition and structure were studied by a polyphasic approach consisting of 16S rRNA analysis, scanning electron microscopy by back-scattered electron detection mode (SEM-BSE), and fluorescence in-situ hybridization (FISH). Acidophilic prokaryotes associated with algal photosynthetic biofilms included sequences related to the Alpha-, Beta-, and Gammaproteobacteria (phylum Proteobacteria) and to the phyla Nitrospira, Actinobacteria, Acidobacteria and Firmicutes. Sequences from the Archaea domain were also identified. No more than seven distinct lineages were detected in any biofilm, except for those from RI, which contained fewer groups of Bacteria. Prokaryotic communities of the thinnest algal photosynthetic biofilms (-100 microm) were more related to those in the water column, including Leptospirillum populations. In general, thick biofilms (200 microm) generate microniches that could facilitate the development of less-adapted microorganisms (coming from the surrounding environment) to extreme conditions, thus resulting in a more diverse prokaryotic biofilm.

Comparison of the microbial communities of hot springs waters and the microbial biofilms in the acidic geothermal area of Copahue (Neuquén, Argentina).

AbstractCopahue is a natural geothermal field (Neuquén province, Argentina) dominated by the Copahue volcano. As a consequence of the sustained volcanic activity, Copahue presents many acidic pools, hot springs and solfataras with different temperature and pH conditions that influence their microbial diversity. The occurrence of microbial biofilms was observed on the surrounding rocks and the borders of the ponds, where water movements and thermal activity are less intense. Microbial biofilms are particular ecological niches within geothermal environments; they present different geochemical conditions from that found in the water of the ponds and hot springs which is reflected in different microbial community structure. The aim of this study is to compare microbial community diversity in the water of ponds and hot springs and in microbial biofilms in the Copahue geothermal field, with particular emphasis on Cyanobacteria and other photosynthetic species that have not been detected before in Copahue. In this study, we report the presence of Cyanobacteria, Chloroflexi and chloroplasts of eukaryotes in the microbial biofilms not detected in the water of the ponds. On the other hand, acidophilic bacteria, the predominant species in the water of moderate temperature ponds, are almost absent in the microbial biofilms in spite of having in some cases similar temperature conditions. Species affiliated with Sulfolobales in the Archaea domain are the predominant microorganism in high temperature ponds and were also detected in the microbial biofilms.

Graph-based deconvolution analysis of multiplex sandwich microarray immunoassays: applications for environmental monitoring.

The sandwich microarray immunoassay (SMI) is a powerful technique for the analysis and characterization of environmental samples, from the identification of microorganisms to specific bioanalytes. As the number of antibodies increases, however, unspecific binding and cross-reactivity can become a problem. To cope with such difficulties, we present here the concept of antibody graph associated to a sandwich antibody microarray. Antibody graphs give valuable information about the antibody cross-reactivity network and all the players involved in the sandwich format: capturing and tracer antibodies, the antigenic sample and the degree of cross-reactivity between antibodies. Making use of the information contained in the antibody graph, we have developed a deconvolution method that disentangles the antibody cross-reactivity events and gives qualitative information about the composition of the experimental sample under study. We have validated the method by using a 66 antibody-containing microarray to describe known antigenic mixtures as well as natural environmental samples characterized by 16S-RNA gene phylogenetic analysis. The application of our antibody graph and deconvolution method allowed us to discriminate between true specific antigen-antibody reactions and spurious signals on a microarray designed for environmental monitoring.