Inter- and intraspecific genomic variability of the 16S–23S intergenic spacer regions (ISR) in representatives ofAcidithiobacillus thiooxidansandAcidithiobacillus ferrooxidans

Acidithiobacillus ferrooxidans and its potential application

The widely distributed Acidithiobacillus ferrooxidans (A. ferrooxidans) lives in extremely acidic conditions by fixing CO₂ and nitrogen, and by obtaining energy from Fe²⁺ oxidation with either downhill or uphill electron transfer pathway and from reduced sulfur oxidation. A. ferrooxidans exists as different genomovars and its genome size is 2.89-4.18 Mb. The chemotactic movement of A. ferrooxidans is regulated by quorum sensing. A. ferrooxidans shows weak magnetotaxis due to formation of 15-70 nm magnetite magnetosomes with surface functional groups. The room- and low-temperature magnetic features of A. ferrooxidans are different from other magnetotactic bacteria. A. ferrooxidans has potential for removing sulfur from solids and gases, metals recycling from metal-bearing ores, electric wastes and sludge, biochemical production synthesizing, and metal workpiece machining.

Phylogenetic and genetic characterization of Acidithiobacillus strains isolated from different environments

To study the phylogenetic relationships and genetic heterogeneity of 21 Acidithiobacillus strains isolated from different environments, we amplified and sequenced the 16S-23S rRNA gene intergenic spacers (ITS) of all these strains. These sequence data, combined with related sequences available from GenBank, were divided into six phylogenetic groups by 16S rRNA gene and by 16S-23S rRNA gene sequence analysis. The results of phylogenetic analysis were consistent with those obtained by repetitive element PCR and arbitrarily primed PCR. In this research, the Acidithiobacillus ferrooxidans (A. ferrooxidans) strains were always separated into two groups in phylogenetic and cluster analyses. Genotypic analyses of the genes rusA, rusB, hip and iro suggest that these two groups may have different biochemical mechanisms for oxidizing ferrous iron. Strains in one A. ferrooxidans group were detected with rusA gene that encodes rusticyanin A which plays a very important role in the iron respiratory chain. The second A. ferrooxidans group was found to contain rusB gene which encode a homologous protein (RusB). The data suggested that ITS-based phylogeny is an effective tool to elucidate the relationships of Acidithiobacillus and that a different iron oxidation pathway may exist in different A. ferrooxidans groups.

Multi Locus Sequence Typing scheme for Acidithiobacillus caldus strain evaluation and differentiation

Phenotypic, metabolic and genetic properties of several Acidithiobacillus caldus strains indicate the existence of as yet undefined levels of variation within the species. Inspite of this, intraspecies genetic diversity has not yet been explored in detail. In this study, the design and implementation of a Multi Locus Sequence Typing (MLST) scheme for At. caldus is described. This represents the first MLST-based study applied to industrial isolates of the species. Seven informative and discriminant MLST markers were selected using a sequence-driven approach and a custom-designed bioinformatic pipeline. The allelic profiles of thirteen At. caldus strains from diverse geographical origins and industrial settings were derived using this scheme. MLST-based population structure analysis indicated only moderate amounts of genetic diversity within the set of strains, further supporting their current assignment to a single species. Also, no clear evidence for geographical isolation could be derived from this study. However, the prevalence of sequence type 1 in heap leaching industrial settings support the view that bioprocess conditions and dynamics may have a strong influence on At. caldus (microbial) microdiversity patterns. The MLST scheme presented herein is a valuable tool for the identification and classification of strains of At. caldus for either ecological or evolutionary studies and possibly also for industrial monitoring purposes.

Diversity and ecophysiology of new isolates of extremely acidophilic CS2-converting Acidithiobacillus strains

Biofiltration of industrial carbon disulfide (CS2)-contaminated waste air streams results in the acidification of biofilters and therefore reduced performance, high water use, and increased costs. To address these issues, we isolated 16 extremely acidophilic CS2-converting Acidithiobacillus thiooxidans strains that tolerated up to 6% (vol/vol) sulfuric acid. The ecophysiological properties of five selected strains (2Bp, Sts 4-3, S1p, G8, and BBW1) were compared. These five strains had pH optima between 1 (2Bp) and 2 (S1p). Their affinities for CS2 ranged between 80 (G8) and 130 (2Bp) μM. Strains S1p, G8, and BBW1 had more hydrophobic cell surfaces and produced less extracellular polymeric substance than did strains 2Bp and Sts 4-3. All five strains converted about 80% of the S added as CS2 to S(0) when CS2 was supplied in excess. The rate of S(0) consumption varied between 7 (Sts 4-3) and 63 (S1p) nmol O2 min(-1) ml culture(-1). Low S(0) consumption rates correlated partly with low levels of cell attachment to externally produced S(0) globules. During chemostat growth, the relative amount of CS2 hydrolase in the cell increased with decreasing growth rates. This resulted in more S(0) accumulation during CS2 overloads at low growth rates. Intermittent interruptions of the CS2 supply affected all five strains. Strains S1p, G8, and BBW1 recovered from 24 h of starvation within 4 h, and strains 2Bp and Sts 4-3 recovered within 24 h after CS2 was resupplied. We recommend the use of mixtures of Acidithiobacillus strains in industrial biofilters.

Phylogenetic and genetic variation among Fe(II)-oxidizing acidithiobacilli supports the view that these comprise multiple species with different ferrous iron oxidation pathways

Autotrophic acidophilic iron- and sulfur-oxidizing bacteria of the genus Acidithiobacillus constitute a heterogeneous taxon encompassing a high degree of diversity at the phylogenetic and genetic levels, though currently only two species are recognized (Acidithiobacillus ferrooxidans and Acidithiobacillus ferrivorans). One of the major functional disparities concerns the biochemical mechanisms of iron and sulfur oxidation, with discrepancies reported in the literature concerning the genes and proteins involved in these processes. These include two types of high-potential iron–sulfur proteins (HiPIPs): (i) Iro, which has been described as the iron oxidase; and (ii) Hip, which has been proposed to be involved in the electron transfer between sulfur compounds and oxygen. In addition, two rusticyanins have been described: (i) rusticyanin A, encoded by the rusA gene and belonging to the well-characterized rus operon, which plays a central role in the iron respiratory chain; and (ii) rusticyanin B, a protein to which no function has yet been ascribed. Data from a multilocus sequence analysis of 21 strains of Fe(II)-oxidizing acidithiobacilli obtained from public and private collections using five phylogenetic markers showed that these strains could be divided into four monophyletic groups. These divisions correlated not only with levels of genomic DNA hybridization and phenotypic differences among the strains, but also with the types of rusticyanin and HiPIPs that they harbour. Taken together, the data indicate that Fe(II)-oxidizing acidithiobacilli comprise at least four distinct taxa, all of which are able to oxidize both ferrous iron and sulfur, and suggest that different iron oxidation pathways have evolved in these closely related bacteria.

Extending the models for iron and sulfur oxidation in the extreme acidophile Acidithiobacillus ferrooxidans

Background

Acidithiobacillus ferrooxidans gains energy from the oxidation of ferrous iron and various reduced inorganic sulfur compounds at very acidic pH. Although an initial model for the electron pathways involved in iron oxidation has been developed, much less is known about the sulfur oxidation in this microorganism. In addition, what has been reported for both iron and sulfur oxidation has been derived from different A. ferrooxidans strains, some of which have not been phylogenetically characterized and some have been shown to be mixed cultures. It is necessary to provide models of iron and sulfur oxidation pathways within one strain of A. ferrooxidans in order to comprehend the full metabolic potential of the pangenome of the genus.

Results

Bioinformatic-based metabolic reconstruction supported by microarray transcript profiling and quantitative RT-PCR analysis predicts the involvement of a number of novel genes involved in iron and sulfur oxidation in A. ferrooxidans ATCC23270. These include for iron oxidation: cup (copper oxidase-like), ctaABT (heme biogenesis and insertion), nuoI and nuoK (NADH complex subunits), sdrA1 (a NADH complex accessory protein) and atpB and atpE (ATP synthetase F0 subunits). The following new genes are predicted to be involved in reduced inorganic sulfur compounds oxidation: a gene cluster (rhd, tusA, dsrE, hdrC, hdrB, hdrA, orf2, hdrC, hdrB) encoding three sulfurtransferases and a heterodisulfide reductase complex, sat potentially encoding an ATP sulfurylase and sdrA2 (an accessory NADH complex subunit). Two different regulatory components are predicted to be involved in the regulation of alternate electron transfer pathways: 1) a gene cluster (ctaRUS) that contains a predicted iron responsive regulator of the Rrf2 family that is hypothesized to regulate cytochrome aa₃ oxidase biogenesis and 2) a two component sensor-regulator of the RegB-RegA family that may respond to the redox state of the quinone pool.

Conclusion

Bioinformatic analysis coupled with gene transcript profiling extends our understanding of the iron and reduced inorganic sulfur compounds oxidation pathways in A. ferrooxidans and suggests mechanisms for their regulation. The models provide unified and coherent descriptions of these processes within the type strain, eliminating previous ambiguity caused by models built from analyses of multiple and divergent strains of this microorganism.

Limitations and benefits of ARISA intra-genomic diversity fingerprinting

Monitoring diversity changes and contamination in mixed cultures and simple microcosms is challenged by fast community structure dynamics, and the need for means allowing fast, cost-efficient and accurate identification of microorganisms at high phylogenetic resolution. The method we explored is a variant of Automated rRNA Intergenic Spacer Analysis based on Intra-Genomic Diversity Fingerprinting (ARISA-IGDF), and identifies phylotypes with multiple 16S-23S rRNA gene Intergenic Transcribed Spacers. We verified the effect of PCR conditions (annealing temperature, duration of final extension, number of cycles, group-specific primers and formamide) on ARISA-IGD fingerprints of 44 strains of Shewanella. We present a digitization algorithm and data analysis procedures needed to determine confidence in strain identification. Though using stringent PCR conditions and group-specific primers allow reasonably accurate identification of strains with three ARISA-IGD amplicons within the 82-1000 bp size range, ARISA-IGDF is best for phylotypes with >or=4 unambiguously different amplicons. This method allows monitoring the occurrence of culturable microbes and can be implemented in applications requiring high phylogenetic resolution, reproducibility, low cost and high throughput such as identifying contamination and monitoring the evolution of diversity in mixed cultures and low diversity microcosms and periodic screening of small microbial culture libraries.

Comparison between two PCR-based bacterial identification methods through artificial neural network data analysis

The 16S ribosomal ribonucleic acid (rRNA) and 16S-23S rRNA spacer region genes are commonly used as taxonomic and phylogenetic tools. In this study, two pairs of fluorescent-labeled primers for 16S rRNA genes and one pair of primers for 16S-23S rRNA spacer region genes were selected to amplify target sequences of 317 isolates from positive blood cultures. The polymerase chain reaction (PCR) products of both were then subjected to restriction fragment length polymorphism (RFLP) analysis by capillary electrophoresis after incomplete digestion by Hae III. For products of 16S rRNA genes, single-strand conformation polymorphism (SSCP) analysis was also performed directly. When the data were processed by artificial neural network (ANN), the accuracy of prediction based on 16S-23S rRNA spacer region gene RFLP data was much higher than that of prediction based on 16S rRNA gene SSCP analysis data (98.0% vs. 79.6%). This study proved that the utilization of ANN as a pattern recognition method was a valuable strategy to simplify bacterial identification when relatively complex data were encountered.

Genomic and phenotypic heterogeneity of Acidithiobacillus spp. strains isolated from diverse habitats in China

The genetic variability among 32 Chinese Acidithiobacillus spp. environmental isolates and four reference strains representing three recognized species of the genus Acidithiobacillus was characterized by using a combination of molecular methods, namely restriction fragment length polymorphisms of PCR-amplified 16S rRNA genes and 16S-23S rRNA gene intergenic spacers, repetitive element PCR, arbitrarily primed PCR and 16S rRNA gene sequence analyses. 16S rRNA gene sequences revealed that all Acidithiobacillus spp. strains could be assigned to seven groups, three of which encompassed the Acidithiobacillus ferrooxidans strains from various parts of the world. A comparative analysis of the phylogenetic Group 1 and 2 was undertaken. Restriction fragment length polymorphism results allowed us to separate the 35 Acidithiobacillus strains into 15 different genotypes. An integrated phenotypic and genotypic analysis indicated that the distribution of A. ferrooxidans strains among the physiological groups were in agreement with their distribution among the genomic groups, and that no clear correlation was found between the genetic polymorphism of the Acidithiobacillus spp. strains and either the geographic location or type of habitats from which the strains were isolated. In addition, five unidentified sulfur-oxidizing isolates may represent one or two novel species of the genus Acidithiobacillus. The results showed that the Chinese Acidithiobacillus spp. isolates exhibited a high degree of genomic and phenotypic heterogeneity.