Use of 16S rRNA and rpoB Genes as Molecular Markers for Microbial Ecology Studies

Several characteristics of the 16S rRNA gene, such as its essential function, ubiquity, and evolutionary properties, have allowed it to become the most commonly used molecular marker in microbial ecology. However, one fact that has been overlooked is that multiple copies of this gene are often present in a given bacterium. These intragenomic copies can differ in sequence, leading to identification of multiple ribotypes for a single organism. To evaluate the impact of such intragenomic heterogeneity on the performance of the 16S rRNA gene as a molecular marker, we compared its phylogenetic and evolutionary characteristics to those of the single-copy gene rpoB. Full-length gene sequences and gene fragments commonly used for denaturing gradient gel electrophoresis were compared at various taxonomic levels. Heterogeneity found between intragenomic 16S rRNA gene copies was concentrated in specific regions of rRNA secondary structure. Such “heterogeneity hot spots” occurred within all gene fragments commonly used in molecular microbial ecology. This intragenomic heterogeneity influenced 16S rRNA gene tree topology, phylogenetic resolution, and operational taxonomic unit estimates at the species level or below. rpoB provided comparable phylogenetic resolution to that of the 16S rRNA gene at all taxonomic levels, except between closely related organisms (species and subspecies levels), for which it provided better resolution. This is particularly relevant in the context of a growing number of studies focusing on subspecies diversity, in which single-copy protein-encoding genes such as rpoB could complement the information provided by the 16S rRNA gene.     

Divergence and redundancy of 16S rRNA sequences in genomes with multiple rrn operons

The level of sequence heterogeneity among rrn operons within genomes determines the accuracy of diversity estimation by 16S rRNA-based methods. Furthermore, the occurrence of widespread horizontal gene transfer (HGT) between distantly related rrn operons casts doubt on reconstructions of phylogenetic relationships. For this study, patterns of distribution of rrn copy numbers, interoperonic divergence, and redundancy of 16S rRNA sequences were evaluated. Bacterial genomes display up to 15 operons and operon numbers up to 7 are commonly found, but ~40% of the organisms analyzed have either one or two operons. Among the Archaea, a single operon appears to dominate and the highest number of operons is five. About 40% of sequences among 380 operons in 76 bacterial genomes with multiple operons were identical to at least one other 16S rRNA sequence in the same genome, and in 38% of the genomes all 16S rRNAs were invariant. For Archaea, the number of identical operons was only 25%, but only five genomes with 21 operons are currently available. These considerations suggest an upper bound of roughly threefold overestimation of bacterial diversity resulting from cloning and sequencing of 16S rRNA genes from the environment; however, the inclusion of genomes with a single rrn operon may lower this correction factor to ~2.5. Divergence among operons appears to be small overall for both Bacteria and Archaea, with the vast majority of 16S rRNA sequences showing <1% nucleotide differences. Only five genomes with operons with a higher level of nucleotide divergence were detected, and Thermoanaerobacter tengcongensis exhibited the highest level of divergence (11.6%) noted to date. Overall, four of the five extreme cases of operon differences occurred among thermophilic bacteria, suggesting a much higher incidence of HGT in these bacteria than in other groups.     

Use of 16S rRNA and rpoB genes as molecular markers for microbial ecology studies

Several characteristics of the 16S rRNA gene, such as its essential function, ubiquity, and evolutionary properties, have allowed it to become the most commonly used molecular marker in microbial ecology. However, one fact that has been overlooked is that multiple copies of this gene are often present in a given bacterium. These intragenomic copies can differ in sequence, leading to identification of multiple ribotypes for a single organism. To evaluate the impact of such intragenomic heterogeneity on the performance of the 16S rRNA gene as a molecular marker, we compared its phylogenetic and evolutionary characteristics to those of the single-copy gene rpoB. Full-length gene sequences and gene fragments commonly used for denaturing gradient gel electrophoresis were compared at various taxonomic levels. Heterogeneity found between intragenomic 16S rRNA gene copies was concentrated in specific regions of rRNA secondary structure. Such "heterogeneity hot spots" occurred within all gene fragments commonly used in molecular microbial ecology. This intragenomic heterogeneity influenced 16S rRNA gene tree topology, phylogenetic resolution, and operational taxonomic unit estimates at the species level or below. rpoB provided comparable phylogenetic resolution to that of the 16S rRNA gene at all taxonomic levels, except between closely related organisms (species and subspecies levels), for which it provided better resolution. This is particularly relevant in the context of a growing number of studies focusing on subspecies diversity, in which single-copy protein-encoding genes such as rpoB could complement the information provided by the 16S rRNA gene.     

Intra- and Intergenomic Variation of Ribosomal RNA Operons in Concurrent Alteromonas macleodii Strains

Biodiversity estimates based on ribosomal operon sequence diversity rely on the premise that a sequence is characteristic of a single specific taxon or operational taxonomic unit (OTU). Here, we have studied the sequence diversity of 14 ribosomal RNA operons (rrn) contained in the genomes of two isolates (five operons in each genome) and four metagenomic fosmids, all from the same seawater sample. Complete sequencing of the isolate genomes and the fosmids establish that they represent strains of the same species, Alteromonas macleodii, with average nucleotide identity (ANI) values >97 %. Nonetheless, we observed high levels of intragenomic heterogeneity (i.e., variability between operons of a single genome) affecting multiple regions of the 16S and 23S rRNA genes as well as the internally transcribed spacer 1 (ITS-1) region. Furthermore, the ribosomal operons exhibited intergenomic heterogeneity (i.e., variability between operons located in separate genomes) in each of these regions, compounding the variability. Our data reveal the extensive heterogeneity observed in natural populations of A. macleodii at a single point in time and support the idea that distinct lineages of A. macleodii exist in the deep Mediterranean. These findings highlight the potential of rRNA fingerprinting methods to misrepresent species diversity while simultaneously failing to recognize the ecological significance of individual strains.     

Evaluation of different partial 16S rRNA gene sequence regions for phylogenetic analysis of microbiomes

Operational taxonomic units (OTUs) are conventionally defined at a phylogenetic distance (0.03—species, 0.05—genus, 0.10—family) based on full-length 16S rRNA gene sequences. However, partial sequences (700 bp or shorter) have been used in most studies. This discord may affect analysis of diversity and species richness because sequence divergence is not distributed evenly along the 16S rRNA gene. In this study, we compared a set each of bacterial and archaeal 16S rRNA gene sequences of nearly full length with multiple sets of different partial 16S rRNA gene sequences derived therefrom (approximately 440-700 bp), at conventional and alternative distance levels. Our objective was to identify partial sequence region(s) and distance level(s) that allow more accurate phylogenetic analysis of partial 16S rRNA genes. Our results showed that no partial sequence region could estimate OTU richness or define OTUs as reliably as nearly full-length genes. However, the V1-V4 regions can provide more accurate estimates than others. For analysis of archaea, we recommend the V1-V3 and the V4-V7 regions and clustering of species-level OTUs at 0.03 and 0.02 distances, respectively. For analysis of bacteria, the V1-V3 and the V1-V4 regions should be targeted, with species-level OTUs being clustered at 0.04 distance in both cases.     

Diversity of 16S rRNA Genes within Individual Prokaryotic Genomes

Analysis of intragenomic variation of 16S rRNA genes is a unique approach to examining the concept of ribosomal constraints on rRNA genes; the degree of variation is an important parameter to consider for estimation of the diversity of a complex microbiome in the recently initiated Human Microbiome Project (http://nihroadmap.nih.gov/hmp). The current GenBank database has a collection of 883 prokaryotic genomes representing 568 unique species, of which 425 species contained 2 to 15 copies of 16S rRNA genes per genome (2.22 ± 0.81). Sequence diversity among the 16S rRNA genes in a genome was found in 235 species (from 0.06% to 20.38%; 0.55% ± 1.46%). Compared with the 16S rRNA-based threshold for operational definition of species (1 to 1.3% diversity), the diversity was borderline (between 1% and 1.3%) in 10 species and >1.3% in 14 species. The diversified 16S rRNA genes in Haloarcula marismortui (diversity, 5.63%) and Thermoanaerobacter tengcongensis (6.70%) were highly conserved at the 2° structure level, while the diversified gene in B. afzelii (20.38%) appears to be a pseudogene. The diversified genes in the remaining 21 species were also conserved, except for a truncated 16S rRNA gene in “Candidatus Protochlamydia amoebophila.” Thus, this survey of intragenomic diversity of 16S rRNA genes provides strong evidence supporting the theory of ribosomal constraint. Taxonomic classification using the 16S rRNA-based operational threshold could misclassify a number of species into more than one species, leading to an overestimation of the diversity of a complex microbiome. This phenomenon is especially seen in 7 bacterial species associated with the human microbiome or diseases.rRNA genes are widely used for estimation of evolutionary history and taxonomic assignment of individual organisms (14, 26, 50-52). The choice of rRNA genes as optimal tools for such purposes is based on both observations and assumptions of ribosomal conservation (13, 50). rRNA genes are essential components of the ribosome, which consists of >50 proteins and three classes of RNA molecules; precise spatial relationships may be essential for assembly of functional ribosomes, constraining rRNA genes from drastic change (9, 13). In bacteria, the three rRNA genes are organized into a gene cluster which is expressed as single operon, which may be present in multiple copies in the genome. In organisms with multiple rRNA gene operons, the gene sequences tend to evolve in concert. It is generally believed that copies of rRNA genes within an organism are subject to a homogenization process through homologous recombination, also known as gene conversion (18), a form of concerted evolution that maintains their fit within the ribosome. The homogenization process may involve short domains without affecting the entire sequence of each gene (8).However, significant differences between copies of rRNA genes in single organisms, albeit few, have been discovered in all three domains of life and in all three classes of rRNA genes. The amphibian Xenopus laevis and the loach Misgurnus fossilis have two types of 5S rRNA genes that are specific to either somatic or oocyte ribosomes (30, 48). The parasite Plasmodium berghei contains two types of 18S rRNA genes that differ at 3.5% of the nucleotide positions and are life cycle stage specific (17). The metazoan Dugesia mediterranea possesses two types of 18S rRNA genes with 8% dissimilarity (6). The archaeon Haloarcula marismortui contains two distinct types of 16S rRNA genes that differ by 5% (32, 33). In the domain Bacteria, the actinomycete Thermobispora bispora contains two types of 16S rRNA genes that differ by 6.4% (47). Copies of the 16S rRNA genes and 23S rRNA genes of the actinomycete Thermospora chromogena differ by approximately 6 and 10%, respectively (54). Paralogous copies of rRNA genes with different sequences may have functionally distinct roles.Divergent evolution between rRNA genes in the same genome may corrupt the record of evolutionary history and obscure the true identity of an organism. Substantial variation, if it occurs, may lead to the artificial classification of an organism into more than one species. For a cultivable organism, this problem can be resolved by cloning rRNA genes from a pure culture of the organism to identify the degree of variation. However, most environmental surveys and the recently initiated Human Microbiome Project (HMP) (http://nihroadmap.nih.gov/hmp/) (34) use cultivation-independent techniques to examine microbiomes that contain mixed species. In the case of the HMP, it is hoped that this approach may identify some idiopathic diseases that are caused by alterations in the microbiome in humans. In this type of study, it may be impossible to trace all rRNA genes observed back to their original host. For example, in the phylum TM7, multiple 16S rRNA gene sequences have been reported (21), but it is not known whether they belong to multiple species or to the same bacterium with a high degree of intragenomic variation among rRNA gene paralogs. Due to the limited number of microorganisms for which nucleotide sequences are available for all copies of the rRNA genes, intragenomic variation among 16S rRNA genes, and the likelihood of pyrosequencing errors (25, 40), the potential to overestimate the diversity of a microbiome exists.Coenye et al. analyzed 55 bacterial genomes and found the intragenomic heterogeneity between multiple 16S rRNA genes in these genomes was below the common threshold (1 to 1.3%) for distinguishing species (44) and was unlikely to have a profound effect on the classification of taxa (10). The analysis of 76 whole genomes by Acinas et al. revealed the extreme diversity (11.6%) of 16S rRNA genes in Thermoanaerobacter tengcongensis (2). These early analyses of intragenomic variation of 16S rRNA genes were limited to a small number of available whole genomes. With the increasing number of whole microbial genomes available from the National Center for Biotechnology Information (NCBI), the extent of diversity among the paralogous 16S rRNA genes within single organisms can now be more thoroughly assessed. In the present study, we (i) addressed the theory of 16S rRNA conservation by systematic evaluation of intragenomic diversity of 16S rRNA sequences in completely sequenced prokaryotic genomes to assess its effect on the accuracy of 16S rRNA-based molecular taxonomy and (ii) examined whether previously observed ribosomal constraints on conservation of 2° structures are uniformly applicable at the intragenomic level.     

Diversity of 5S rRNA genes within individual prokaryotic genomes

We examined intragenomic variation of paralogous 5S rRNA genes to evaluate the concept of ribosomal constraints. In a dataset containing 1161 genomes from 779 unique species, 96 species exhibited >?3% diversity. Twenty-seven species with >?10% diversity contained a total of 421 mismatches between all pairs of the most dissimilar copies of 5S rRNA genes. The large majority (401 of 421) of the diversified positions were conserved at the secondary structure level. The high diversity was associated with partial rRNA operon, split operon, or spacer length-related divergence. In total, these findings indicated that there are tight ribosomal constraints on paralogous 5S rRNA genes in a genome despite of the high degree of diversity at the primary structure level.     

16S rRNA GENE HETEROGENEITY IN THE FILAMENTOUS MARINE CYANOBACTERIAL GENUS LYNGBYA1

The SSU (16S) rRNA gene was used to investigate the phylogeny of the cyanobacterial genus Lyngbya as well as examined for its capacity to discriminate between different marine species of Lyngbya. We show that Lyngbya forms a polyphyletic genus composed of a marine lineage and a halophilic/brackish/freshwater lineage. In addition, we found morphological and genetic evidence that Lyngbya spp. often grow in association with other microorganisms, in particular smaller filamentous cyanobacteria such as Oscillatoria, and propose that these associated microorganisms have led to extensive phylogenetic confusion in identification of Lyngbya spp. At the species level, the phylogenetic diversity obtained from the comparison of 16S rRNA genes exceeded morphological diversity in Lyngbya. However, the expectation that this improved phylogeny would be useful to species and subspecies identification was eliminated by the fact that phylogenetic species did not correlate in any respect with the species obtained from current taxonomic systems. In addition, phylogenetic identification was adversely affected by the presence of multiple gene copies within individual Lyngbya colonies. Analysis of clonal Lyngbya cultures and multiple displacement amplified (MDA) single‐cell genomes revealed that Lyngbya genomes contain two 16S rRNA gene copies, and that these typically are of variable sequence. Furthermore, intragenomic and interspecies 16S rRNA gene heterogeneity was approximately of the same magnitude. Hence, the intragenomic heterogeneity of the 16S rRNA gene overestimates the microdiversity of different strains and does not accurately reflect speciation within cyanobacteria, including the genus Lyngbya.     

Diversity of 23S rRNA Genes within Individual Prokaryotic Genomes

Background

The concept of ribosomal constraints on rRNA genes is deduced primarily based on the comparison of consensus rRNA sequences between closely related species, but recent advances in whole-genome sequencing allow evaluation of this concept within organisms with multiple rRNA operons.

Methodology/Principal Findings

Using the 23S rRNA gene as an example, we analyzed the diversity among individual rRNA genes within a genome. Of 184 prokaryotic species containing multiple 23S rRNA genes, diversity was observed in 113 (61.4%) genomes (mean 0.40%, range 0.01%–4.04%). Significant (1.17%–4.04%) intragenomic variation was found in 8 species. In 5 of the 8 species, the diversity in the primary structure had only minimal effect on the secondary structure (stem versus loop transition). In the remaining 3 species, the diversity significantly altered local secondary structure, but the alteration appears minimized through complex rearrangement. Intervening sequences (IVS), ranging between 9 and 1471 nt in size, were found in 7 species. IVS in Deinococcus radiodurans and Nostoc sp. encode transposases. T. tengcongensis was the only species in which intragenomic diversity >3% was observed among 4 paralogous 23S rRNA genes.

Conclusions/Significance

These findings indicate tight ribosomal constraints on individual 23S rRNA genes within a genome. Although classification using primary 23S rRNA sequences could be erroneous, significant diversity among paralogous 23S rRNA genes was observed only once in the 184 species analyzed, indicating little overall impact on the mainstream of 23S rRNA gene-based prokaryotic taxonomy.     

Comparison of 16S rRNA and protein-coding genes as molecular markers for assessing microbial diversity (Bacteria and Archaea) in ecosystems

PCR amplification of the rRNA gene is the most popular method for assessing microbial diversity. However, this molecular marker is often present in multiple copies in cells presenting, in addition, an intragenomic heterogeneity. In this context, housekeeping genes may be used as taxonomic markers for ecological studies. However, the efficiency of these protein-coding genes compared to 16S rRNA genes has not been tested on environmental data. For this purpose, five protein marker genes for which primer sets are available, were selected (rplB, pyrG, fusA, leuS and rpoB) and compared with 16S rRNA gene results from PCR amplification or metagenomic data from aquatic ecosystems. Analysis of the major groups found in these ecosystems, such as Actinobacteria, Bacteroides, Proteobacteria and Cyanobacteria, showed good agreement between the protein markers and the results given by 16S rRNA genes from metagenomic reads. However, with the markers it was possible to detect minor groups among the microbial assemblages, providing more details compared to 16S rRNA results from PCR amplification. In addition, the use of a set of protein markers made it possible to deduce a mean copy number of rRNA operons. This average estimate is essentially lower than the one estimated in sequenced genomes.     

16S rRNA基因在微生物生态学中的应用

16S rRNA(Small subunit ribosomal RNA)基因是对原核微生物进行系统进化分类研究时最常用的分子标志物(Biomarker),广泛应用于微生物生态学研究中。近些年来随着高通量测序技术及数据分析方法等的不断进步,大量基于16S rRNA基因的研究使得微生物生态学得到了快速发展,然而使用16S rRNA基因作为分子标志物时也存在诸多问题,比如水平基因转移、多拷贝的异质性、基因扩增效率的差异、数据分析方法的选择等,这些问题影响了微生物群落组成和多样性分析时的准确性。对当前使用16S rRNA基因分析微生物群落组成和多样性的进展情况做一总结,重点讨论当前存在的主要问题以及各种分析方法的发展,尤其是与高通量测序技术有关的实验和数据处理问题。     

原核生物全基因组中16S rRNA基因的识别

【目的】识别原核生物全基因组中的16S rRNA基因。【方法】本文依据基因序列的GC碱基含量、碱基3-周期性和马尔可夫链3个方面的特性,构建了识别原核生物全基因组中16S rRNA基因的三层过滤模型。【结果】经检验,模型的特异性、敏感性和马修斯相关系数分别为99.58%、91.60%和91.49%。【结论】结果表明,本文所提出的方法可以高效、准确地识别出16S rRNA基因。     

Copy number of ribosomal operons in prokaryotes and its effect on phylogenic analyses

Different aspects of the presence of multiple copies of ribosomal operons in prokaryotic genomes are reviewed. Structure of prokaryotic ribosomal operons is briefly described. The available data are summarized regarding the copy number of ribosomal genes in various prokaryotic genomes, the degree of polymorphism of their individual copies, physiological and evolutionary aspects of the presence of the multiple copies of ribosomal genes. The review also considers the influence of the presence of multiple copies of ribosomal genes on the results of identification of prokaryotic isolates and of the studies of prokaryotic diversity in environmental samples based on phylogenetic analysis of 16S rRNA gene sequences.     

Copy Number of Ribosomal Operons in Prokaryotes and Its Effect on Phylogenetic Analyses

Different aspects of the presence of multiple copies of ribosomal operons in prokaryotic genomes are reviewed. The structure of prokaryotic ribosomal operons is briefly described. The available data are summarized regarding the copy number of ribosomal genes in various prokaryotic genomes, the degree of polymorphism of their individual copies, and physiological and evolutional aspects of the presence of the multiple copies of ribosomal genes. The review also considers the influence of the presence of multiple copies of ribosomal genes on the results of identification of prokaryotic isolates and of the studies of prokaryotic diversity in environmental samples based on phylogenetic analysis of 16S rRNA gene sequences.     

Variable copy number, intra-genomic heterogeneities and lateral transfers of the 16S rRNA gene in Pseudomonas

Even though the 16S rRNA gene is the most commonly used taxonomic marker in microbial ecology, its poor resolution is still not fully understood at the intra-genus level. In this work, the number of rRNA gene operons, intra-genomic heterogeneities and lateral transfers were investigated at a fine-scale resolution, throughout the Pseudomonas genus. In addition to nineteen sequenced Pseudomonas strains, we determined the 16S rRNA copy number in four other Pseudomonas strains by Southern hybridization and Pulsed-Field Gel Electrophoresis, and studied the intra-genomic heterogeneities by Denaturing Gradient Gel Electrophoresis and sequencing. Although the variable copy number (from four to seven) seems to be correlated with the evolutionary distance, some close strains in the P. fluorescens lineage showed a different number of 16S rRNA genes, whereas all the strains in the P. aeruginosa lineage displayed the same number of genes (four copies). Further study of the intra-genomic heterogeneities revealed that most of the Pseudomonas strains (15 out of 19 strains) had at least two different 16S rRNA alleles. A great difference (5 or 19 nucleotides, essentially grouped near the V1 hypervariable region) was observed only in two sequenced strains. In one of our strains studied (MFY30 strain), we found a difference of 12 nucleotides (grouped in the V3 hypervariable region) between copies of the 16S rRNA gene. Finally, occurrence of partial lateral transfers of the 16S rRNA gene was further investigated in 1803 full-length sequences of Pseudomonas available in the databases. Remarkably, we found that the two most variable regions (the V1 and V3 hypervariable regions) had probably been laterally transferred from another evolutionary distant Pseudomonas strain for at least 48.3 and 41.6% of the 16S rRNA sequences, respectively. In conclusion, we strongly recommend removing these regions of the 16S rRNA gene during the intra-genus diversity studies.     

A Genome-Wide Profiling Strategy as an Aid for Searching Unique Identification Biomarkers for <Emphasis Type="Italic">Streptococcus</Emphasis>

The use of rrs (16S rRNA) gene is widely regarded as the “gold standard” for identifying bacteria and determining their phylogenetic relationships. Nevertheless, multiple copies of this gene in a genome is likely to give an overestimation of the bacterial diversity. In each of the 50 Streptococcus genomes (16 species, 50 strains), 4–7 copies of rrs are present. The nucleotide sequences of these rrs genes show high similarity within and among genomes, which did not allow unambiguous identification. A genome-wide search revealed the presence of 27 gene sequences common to all the Streptococcus species. Digestion of these 27 gene sequences with 10 type II restriction endonucleases (REs) showed that unique RE digestion in purH gene is sufficient for clear cut identification of 30 genomes belonging to 16 species. Additional gene-RE combinations allowed identification of another 15 strains belonging to S. pneumoniae, S. pyogenes, and S. suis. For the rest 5 strains, a combination of 2 genes was required for identifying them. The proposed strategy is likely to prove helpful in proper detection of pathogens like Streptococcus.

Electronic supplementary material

The online version of this article (doi:10.1007/s12088-015-0561-5) contains supplementary material, which is available to authorized users.     

Ribosomal Multi-Operon Diversity: An Original Perspective on the Genus Aeromonas

16S rRNA gene (rrs) is considered of low taxonomic interest in the genus Aeromonas. Here, 195 Aeromonas strains belonging to populations structured by multilocus phylogeny were studied using an original approach that considered Ribosomal Multi-Operon Diversity. This approach associated pulsed-field gel electrophoresis (PFGE) to assess rrn operon number and distribution across the chromosome and PCR-temporal temperature gel electrophoresis (TTGE) to assess rrs V3 region heterogeneity. Aeromonads harbored 8 to 11 rrn operons, 10 operons being observed in more than 92% of the strains. Intraspecific variability was low or nul except for A. salmonicida and A. aquariorum suggesting that large chromosomic rearrangements might occur in these two species while being extremely rarely encountered in the evolution of other taxa. rrn operon number at 8 as well as PFGE patterns were shown valuable for taxonomic purpose allowing resolution of species complexes. PCR-TTGE revealed a high rate of strains (41.5%) displaying intragenomic rrs heterogeneity. Strains isolated from human samples more frequently displayed intragenomic heterogeneity than strains recovered from non-human and environmental specimens. Intraspecific variability ranged from 0 to 76.5% of the strains. The observation of species-specific TTGE bands, the recovery of identical V3 regions in different species and the variability of intragenomic heterogeneity (1–13 divergent nucleotides) supported the occurrence of mutations and horizontal transfer in aeromonad rrs evolution. Altogether, the presence of a high number of rrn operon, the high proportion of strains harboring divergent rrs V3 region and the previously demonstrated high level of genetic diversity argued in favor of highly adaptative capabilities of aeromonads. Outstanding features observed for A. caviae supported the ongoing process of adaptation to a specialized niche represented by the gut, previously hypothesized. 16S rRNA gene is an informative marker in the genus Aeromonas for both evolutionary and polyphasic taxonomic studies provided that multi-operon fingerprinting approaches are used.     

Succession of microbial communities during hot composting as detected by PCR-single-strand-conformation polymorphism-based genetic profiles of small-subunit rRNA genes

A cultivation-independent technique for genetic profiling of PCR-amplified small-subunit rRNA genes (SSU rDNA) was chosen to characterize the diversity and succession of microbial communities during composting of an organic agricultural substrate. PCR amplifications were performed with DNA directly extracted from compost samples and with primers targeting either (i) the V4-V5 region of eubacterial 16S rRNA genes, (ii) the V3 region in the 16S rRNA genes of actinomycetes, or (iii) the V8-V9 region of fungal 18S rRNA genes. Homologous PCR products were converted to single-stranded DNA molecules by exonuclease digestion and were subsequently electrophoretically separated by their single-strand-conformation polymorphism (SSCP). Genetic profiles obtained by this technique showed a succession and increasing diversity of microbial populations with all primers. A total of 19 single products were isolated from the profiles by PCR reamplification and cloning. DNA sequencing of these molecular isolates showed similarities in the range of 92.3 to 100% to known gram-positive bacteria with a low or high G+C DNA content and to the SSU rDNA of gamma-Proteobacteria. The amplified 18S rRNA gene sequences were related to the respective gene regions of Candida krusei and Candida tropicalis. Specific molecular isolates could be attributed to different composting stages. The diversity of cultivated bacteria isolated from samples taken at the end of the composting process was low. A total of 290 isolates were related to only 6 different species. Two or three of these species were also detectable in the SSCP community profiles. Our study indicates that community SSCP profiles can be highly useful for the monitoring of bacterial diversity and community successions in a biotechnologically relevant process.     

Evolutionary and diagnostic implications of intragenomic heterogeneity in the 16S rRNA gene in Aeromonas strains

Sequencing 16S rRNA genes (SSU) cloned from Aeromonas strains revealed that strains contained up to six copies differing by < or = 1.5%. The SSU copies from Aeromonas veronii LMG13695 clustered with sequences from four Aeromonas species. These results demonstrate intragenomic heterogeneity of SSU and suggest caution when using SSU to identify aeromonads.     

Unusual intragenomic and interspecific variability of <Emphasis Type="Italic">Geobacillus</Emphasis> 16S-23S rRNA internal transcribed spacers

The aim of this study was to evaluate the inter-and intraspecific as well as intragenomic variability of Geobacillus 16S–23S rRNA internal transcribed spacers without tRNA genes and to compare these sequences with sequences bearing tRNA genes. In this study the structural analysis was performed in a unique way because the length and the sequence of the structural blocks were adjusted to fit the structure of 16S–23S rRNA internal transcribed spacers of five different Geobacillus species. Our study demonstrated the mosaic-like structure of 16S–23S rRNA internal transcribed spacers in Geobacillus. Some characteristics of these spacers of geobacilli were not previously reported for other bacteria: unusually short conserved sequence in the 5′ end region, some identical conserved blocks in both 5′ and 3′ regions of 16S–23S rRNA internal transcribed spacers, the same sequence blocks in both 16S–23S and 23S–5S rRNA intergenic spacers. Our study demonstrated quite uniform arrangement of the sequence blocks in Geobacillus thermodenitrificans. This species diverged early in the phylogenetic tree of the genus Geobacillus. For the phylogenetically recent species Geobacillus kaustophilus and Geobacillus lituanicus the low inter-and intraspecific, but high intragenomic variability, as a consequence of recent phylogenetic events, was established.