Phylogenetic relationships ofPythium species based on ITS and 5.8S sequences of the ribosomal DNA

The sequences of ITS regions in 30 species and two groups of the genusPythium were resolved. In the phylogenetic trees, the species were generally divided into two clusters, referred to here as the F and S groups. The species in the two groups correspond in terms of their sporangial morphology, with the F group being filamentous/lobulate and the S group being spherical. Genetic divergence within the F group was lower than that within the S group. Other morphological characteristics such as oogonial structure and sexual nature appeared to be unrelated to the groupings in these trees. An alignment analysis revealed common sequences to all the species and arrangements specific to each F or S group. It was found that the ITS region was a good target in designing species-specific primers for the identification and detection ofPythium species. In the tree based on 5.8S rDNA sequences, oomycetes are distantly related to other fungi but separated from algae in Chromista.     

Bifidobacteria identification based on 16S rRNA and pyruvate kinase partial gene sequence analysis

The lack of a simple and rapid identification system for Bifidobacterium species makes them difficult to use in industrial applications. To obtain valuable discriminating factor, we studied different strains, and human isolates by two molecular taxonomy methods. First method was based on chrono-differentiation. A metabolic gene (pyruvate kinase) was chosen to be used as a systematic discriminating factor. A comparison of about 40 pyruvate kinase protein sequences allowed us to synthesize two oligonucleotides that were able to amplify a fragment of this corresponding gene in our strains. Based on these partial pyruvate kinase gene sequences, several clusters could be identified. The second method used in this study was based on 16S rRNA sequences analysis. We compared sequences present in GenBank database, and this allowed to separate bifidobacteria species into different clusters. They were different from those obtained with partial pyruvate kinase gene sequences analysis. So, by combining both methods, we were able to identify our isolates, when only 10% of them could be strictly identified using the 16S rRNA method. Moreover, pyruvate kinase analysis allowed to differentiate very ambivalent groups such as B. animalis/B. lactis or B. infantis/B. longum, but created different clusters for B. infantis species group, questioning on the homogeneity of this species.     

Characterization of the genus Bifidobacterium by automated ribotyping and 16S rRNA gene sequences

In order to characterize the genus Bifidobacterium, ribopatterns and approximately 500 bp (Escherichia coli positions 27 to 520) of 16S rRNA gene sequences of 28 type strains and 64 reference strains of the genus Bifidobacterium were determined. Ribopatterns obtained from Bifidobacterium strains were divided into nine clusters (clusters I-IX) with a similarity of 60%. Cluster V, containing 17 species, was further subdivided into 22 subclusters with a similarity of 90%. In the genus Bifidobacterium, four groups were shown according to Miyake et al.: (i) the Bifidobacterium longum infantis-longum-suis type group, (ii) the B. catenulatum-pseudocatenulatum group, (iii) the B. gallinarum-saeculare-pullorum group, and (iv) the B. coryneforme-indicum group, which showed higher than 97% similarity of the 16S rRNA gene sequences in each group. Using ribotyping analysis, unique ribopatterns were obtained from these species, and they could be separated by cluster analysis. Ribopatterns of six B. adolescentis strains were separated into different clusters, and also showed diversity in 16S rRNA gene sequences. B. adolescentis consisted of heterogeneous strains. The nine strains of B. pseudolongum subsp. pseudolongum were divided into five subclusters. Each type strain of B. pseudolongum subsp. pseudolongum and B. pseudolongum subsp. globosum and two intermediate groups, which were suggested by Yaeshima et al., consisted of individual clusters. B. animalis subsp. animalis and B. animalis subsp. lactis could not be separated by ribotyping using Eco RI. We conclude that ribotyping is able to provide another characteristic of Bifidobacterium strains in addition to 16S rRNA gene sequence phylogenetic analysis, and this information suggests that ribotyping analysis is a useful tool for the characterization of Bifidobacterium species in combination with other techniques for taxonomic characterization.     

Phylogeny and genetic diversity of native rhizobia nodulating common bean (Phaseolus vulgaris L.) in Ethiopia

The diversity and phylogeny of 32 rhizobial strains isolated from nodules of common bean plants grown on 30 sites in Ethiopia were examined using AFLP fingerprinting and MLSA. Based on cluster analysis of AFLP fingerprints, test strains were grouped into six genomic clusters and six single positions. In a tree built from concatenated sequences of recA, glnII, rpoB and partial 16S rRNA genes, the strains were distributed into seven monophyletic groups. The strains in the groups B, D, E, G1 and G2 could be classified as Rhizobium phaseoli, R. etli, R. giardinii, Agrobacterium tumefaciens complex and A. radiobacter, respectively, whereas the strains in group C appeared to represent a novel species. R. phaseoli, R. etli, and the novel group were the major bean nodulating rhizobia in Ethiopia. The strains in group A were linked to R. leguminosarum species lineages but not resolved. Based on recA, rpoB and 16S rRNA genes sequences analysis, a single test strain was assigned as R. leucaenae. In the nodC tree the strains belonging to the major nodulating groups were clustered into two closely linked clades. They also had almost identical nifH gene sequences. The phylogenies of nodC and nifH genes of the strains belonging to R. leguminosarum, R. phaseoli, R. etli and the putative new species (collectively called R. leguminosarum species complex) were not consistent with the housekeeping genes, suggesting symbiotic genes have a common origin which is different from the core genome of the species and indicative of horizontal gene transfer among these rhizobia.     

烟草可培养内生细菌的分离及多样性分析

采用稀释平板法, 从健康烟草的根、茎、叶组织中分离到267株内生细菌。利用细菌菌落表征性状和16S rRNA序列对这些分离物进行了多样性分析。通过数值分析比较了8个菌落形态表征性状, 以类平均连锁聚类法的方式进行聚类分析, 在2.15的水平上可分成5个聚类群和56个亚群。16S rDNA序列系统发育分析表明267株分离物可分为21个类群。研究表明同一菌落形态类型的菌株在系统发育树中不一定聚为一类, 菌落形态分类与分子生物学方法分类结果不完全一致。经克隆测序分析表明, 这267株分离物分别与GenBank中6类细菌中的21个已知种相似性达到98%?99%。其中芽孢杆菌属(Bacillus)细菌是烟草可培养内生细菌的优势种群。     

Application of recA and rpoB sequence analysis on phylogeny and molecular identification of Geobacillus species

Aims:  Some Geobacillus species have highly similar 16S rRNA gene sequences, making 16S rDNA sequence analysis-based identification problematic. To overcome this limitation, recA and rpoB sequence analysis was evaluated as an alternative for distinguishing Geobacillus species.
Methods and Results:  The phylogram of 16S rRNA gene sequences inferred from the neighbour-joining method showed that nine clusters of Geobacillus species were characterized with bootstrap values >90%. The recA and rpoB sequences of 10 reference strains in clusters V, VIb and VIc were amplified and sequenced using consensus primers. Alignment of recA sequences in clusters V, VIb and VIc revealed three types of recA genes, consistent with the putative amino acid sequences and in vivo recA splicing analysis. The phylogram constructed from rpoB sequences showed more divergence than that constructed from 16S rRNA gene sequences.
Conclusions:  recA and rpoB sequence analysis differentiated closely-related Geobacillus species and provided direct evidence for reclassifying some species dubiously categorized as Geobacilli . Additionally, this study revealed three types of recA genes in the different Geobacillus species.
Significance and Impact of the Study:  This study highlights the advantage of recA and rpoB sequence analysis to supplement 16S rRNA gene sequence analysis for efficient and convenient determination of Geobacillus species.     

Characterization of microbial communities in gas industry pipelines

Culture-independent techniques, denaturing gradient gel electrophoresis (DGGE) analysis, and random cloning of 16S rRNA gene sequences amplified from community DNA were used to determine the diversity of microbial communities in gas industry pipelines. Samples obtained from natural gas pipelines were used directly for DNA extraction, inoculated into sulfate-reducing bacterium medium, or used to inoculate a reactor that simulated a natural gas pipeline environment. The variable V2-V3 (average size, 384 bp) and V3-V6 (average size, 648 bp) regions of bacterial and archaeal 16S rRNA genes, respectively, were amplified from genomic DNA isolated from nine natural gas pipeline samples and analyzed. A total of 106 bacterial 16S rDNA sequences were derived from DGGE bands, and these formed three major clusters: beta and gamma subdivisions of Proteobacteria and gram-positive bacteria. The most frequently encountered bacterial species was Comamonas denitrificans, which was not previously reported to be associated with microbial communities found in gas pipelines or with microbially influenced corrosion. The 31 archaeal 16S rDNA sequences obtained in this study were all related to those of methanogens and phylogenetically fall into three clusters: order I, Methanobacteriales; order III, Methanomicrobiales; and order IV, Methanosarcinales: Further microbial ecology studies are needed to better understand the relationship among bacterial and archaeal groups and the involvement of these groups in the process of microbially influenced corrosion in order to develop improved ways of monitoring and controlling microbially influenced corrosion.     

Communities of green sulfur bacteria in marine and saline habitats analyzed by gene sequences of 16S rRNA and Fenna-Matthews-Olson protein.

Communities of green sulfur bacteria were studied in selected marine and saline habitats on the basis of gene sequences of 16S rRNA and the Fenna- Matthews-Olson (FMO) protein. The availability of group-specific primers for both 16S rDNA and the fmoA gene, which is unique to green sulfur bacteria, has, for the first time, made it possible to analyze environmental communities of these bacteria by culture-independent methods using two independent genetic markers. Sequence results obtained with fmoA genes and with 16S rDNA were largely congruent to each other. All of the 16S rDNA and fmoA sequences from habitats of the Baltic Sea, the Mediterranean Sea, Sippewissett Salt Marsh (Massachusetts, USA), and Bad Water (Death Valley, California, USA) were found within salt-dependent phylogenetic lines of green sulfur bacteria established by pure culture studies. This strongly supports the existence of phylogenetic lineages of green sulfur bacteria specifically adapted to marine and saline environments and the exclusive occurrence of these bacteria in marine and saline habitats. The great majority of clone sequences belonged to different clusters of the Prosthecochloris genus and probably represent different species. Evidence for the occurrence of two new species of Prosthecochloris was also obtained. Different habitats were dominated by representatives from the Prosthecochloris group and different clusters or species of this genus were found either exclusively or as the clearly dominant green sulfur bacterium at different habitats.     

PCR assay of the groEL gene for detection and differentiation of Bacillus cereus group cells

Strains of species in the Bacillus cereus group are potentially enterotoxic. Thus, the detection of all B. cereus group strains is important. As 16S ribosomal DNA sequence analysis cannot adequately differentiate species of the B. cereus group, we explored the potential of the groEL gene as a phylogenetic marker. A phylogenetic analysis of the groEL sequences of 78 B. cereus group strains revealed that the B. cereus group strains were split into two major clusters, one including six B. mycoides and one B. pseudomycoides (cluster II) and the other including two B. mycoides and the rest of the B. cereus group strains (cluster I). Cluster I was further differentiated into two subclusters, Ia and Ib. The sodA gene sequences of representative strains from different clusters were also compared. The phylogenetic tree constructed from the sodA sequences showed substantial similarity to the tree constructed from the groEL sequences. Based on the groEL sequences, a PCR assay for detection and identification of B. cereus group strains was developed. Subsequent restriction fragment length polymorphism (RFLP) analysis verified the PCR amplicons and the differentiation of the B. cereus group strains. RFLP with MboI was identical for all the B. cereus group strains analyzed, while RFLP with MfeI or PstI classified all B. cereus and B. thuringiensis strains into two groups. All cluster II B. mycoides and B. pseudomycoides strains could be discriminated from other B. cereus group bacteria by restriction analysis with TspRI.     

Characterization of Microbial Communities in Gas Industry Pipelines

Culture-independent techniques, denaturing gradient gel electrophoresis (DGGE) analysis, and random cloning of 16S rRNA gene sequences amplified from community DNA were used to determine the diversity of microbial communities in gas industry pipelines. Samples obtained from natural gas pipelines were used directly for DNA extraction, inoculated into sulfate-reducing bacterium medium, or used to inoculate a reactor that simulated a natural gas pipeline environment. The variable V2-V3 (average size, 384 bp) and V3-V6 (average size, 648 bp) regions of bacterial and archaeal 16S rRNA genes, respectively, were amplified from genomic DNA isolated from nine natural gas pipeline samples and analyzed. A total of 106 bacterial 16S rDNA sequences were derived from DGGE bands, and these formed three major clusters: beta and gamma subdivisions of Proteobacteria and gram-positive bacteria. The most frequently encountered bacterial species was Comamonas denitrificans, which was not previously reported to be associated with microbial communities found in gas pipelines or with microbially influenced corrosion. The 31 archaeal 16S rDNA sequences obtained in this study were all related to those of methanogens and phylogenetically fall into three clusters: order I, Methanobacteriales; order III, Methanomicrobiales; and order IV, Methanosarcinales. Further microbial ecology studies are needed to better understand the relationship among bacterial and archaeal groups and the involvement of these groups in the process of microbially influenced corrosion in order to develop improved ways of monitoring and controlling microbially influenced corrosion.     

Ciliate evolution: The ribosomal phylogenies of the tetrahymenine ciliates

Summary We have assembled and analyzed nucleotide sequences for several different rRNA components from tetrahymenine ciliates. These include previously published and some new 5S and 5.8S rRNAs for a total of 18 species. We also report sequences for some 30 species obtained by primer extension analysis of a region near the 5′ end of the 23S rRNAs (region 580). Phylogenetic trees have been constructed for these species, utilizing heuristics (shifting ditypic site analysis) described in a companion paper. The trees based on these sequences are consistent with each other and with those based on longer sequences of the 17S rRNA. They show the tetrahymenines to consist of a number of distinctive clusters of species. The clusters (ribosets) are homogeneous with respect to certain life history characteristics, especially the mode of mating type determination, but are inhomogeneous with respect to some morphological and life history features, such as cyst formation and adaptations to parasitism or carnivory. Using the same molecular data, we also begin to explore the relationships of the tetrahymenines to some other ciliate taxa and to some other protists.     

八门湾红树林土壤芽胞杆菌分离与多样性分析

【目的】了解八门湾红树林海漆林区土壤中可培养芽胞杆菌资源的多样性。【方法】采用水浴处理与直接涂布相结合的方法选择性分离土壤中的芽胞杆菌;利用16S rDNA PCR-RFLP与16S rDNA序列分析技术研究可培养芽胞杆菌资源的遗传多样性和系统发育关系。【结果】16S rDNA PCR-RFLP酶切图谱UPGMA聚类分析表明,在100%的相似性水平上,分离的155株芽胞杆菌分属21个遗传类群,显示了较为丰富的遗传多样性;由21种遗传类型代表菌株的16S rDNA序列分析结果得知,这些芽胞杆菌主要分布在Bacillaceae和Paenibacillaceae科下的Bacillus、Halobacillus、Virgibacillus和Paenibacillus 4个属,其中Bacillus为优势属;有8株芽胞杆菌的16S rDNA序列与数据库中相应模式菌株的最大相似性在95.1%-99.0%之间。【结论】八门湾红树林土壤可培养芽胞杆菌有着较为丰富的遗传多样性,并存在新的芽胞杆菌物种资源。     

Phylogeny and molecular identification of vibrios on the basis of multilocus sequence analysis

We analyzed the usefulness of rpoA, recA, and pyrH gene sequences for the identification of vibrios. We sequenced fragments of these loci from a collection of 208 representative strains, including 192 well-documented Vibrionaceae strains and 16 presumptive Vibrio isolates associated with coral bleaching. In order to determine the intraspecies variation among the three loci, we included several representative strains per species. The phylogenetic trees constructed with the different genetic loci were roughly in agreement with former polyphasic taxonomic studies, including the 16S rRNA-based phylogeny of vibrios. The families Vibrionaceae, Photobacteriaceae, Enterovibrionaceae, and Salinivibrionaceae were all differentiated on the basis of each genetic locus. Each species clearly formed separated clusters with at least 98, 94, and 94% rpoA, recA, and pyrH gene sequence similarity, respectively. The genus Vibrio was heterogeneous and polyphyletic, with Vibrio fischeri, V. logei, and V. wodanis grouping closer to the Photobacterium genus. V. halioticoli-, V. harveyi-, V. splendidus-, and V. tubiashii-related species formed groups within the genus Vibrio. Overall, the three genetic loci were more discriminatory among species than were 16S rRNA sequences. In some cases, e.g., within the V. splendidus and V. tubiashii group, rpoA gene sequences were slightly less discriminatory than recA and pyrH sequences. In these cases, the combination of several loci will yield the most robust identification. We can conclude that strains of the same species will have at least 98, 94, and 94% rpoA, recA, and pyrH gene sequence similarity, respectively.     

DNA-based taxonomy for associating adults and larvae in multi-species assemblages of chafers (Coleoptera: Scarabaeidae)

DNA sequences provide a universal character system in taxonomy for associating all developmental stages of organisms, but ambiguity arises due to genetic variation within species. The problem is compounded where target groups are less well studied or incompletely represented in DNA databases. Here we investigate the utility of DNA for larval-adult species associations within chafer (Coleoptera: Scarabaeidae) communities from four sites in the tropical lowlands of Nepal. We sequenced ca. 1600 bp of mitochondrial cox1 and rrnL and 700 bp of nuclear 28S rRNA from 250 larval and adult specimens. Individuals were grouped into putative species using statistical parsimony analysis and population aggregation analysis (PAA), whereby specimens from each locality were grouped according to the presence of diagnostic nucleotides. In addition, species membership was determined based on shifts in branching rates on clock-constrained trees to detect the putative transition from speciation to population coalescence patterns. Using these two methods we delineated between 48 and 56 groups, of which 16-20 were composed of larval and adult individuals. Nuclear and mtDNA-based groups were highly congruent; variation of 28S rRNA within groups was very low, while one widespread 28S rRNA genotype was universally found in a paraphyletic group of five mtDNA clusters. Linnean names could be assigned to 19 groups, and hence between 86.1% and 92.7% of larval specimens could be associated to species by their membership in clearly delineated groups that contained fully identified adults. The remaining larvae were delineated as five species, four of which could be assigned to Anomala or Adoretus based on their phylogenetic position. We conclude that the sequence variation was highly structured in this complex assemblage of chafers and that any given individual (larva or adult) can be readily associated with a particular DNA group using the criterion of diagnos ability. The association of different developmental stages therefore becomes a matter of determining the extent of the DNA-based groups, rather than matching of sequences from adult and larval individuals. This indicates the need for a purely sequence-based taxonomic system when associating different life stages via DNA.     

Natural product biosynthetic gene diversity in geographically distinct soil microbiomes

The number of bacterial species estimated to exist on Earth has increased dramatically in recent years. This newly recognized species diversity has raised the possibility that bacterial natural product biosynthetic diversity has also been significantly underestimated by previous culture-based studies. Here, we compare 454-pyrosequenced nonribosomal peptide adenylation domain, type I polyketide ketosynthase domain, and type II polyketide ketosynthase alpha gene fragments amplified from cosmid libraries constructed using DNA isolated from three different arid soils. While 16S rRNA gene sequence analysis indicates these cloned metagenomes contain DNA from similar distributions of major bacterial phyla, we found that they contain almost completely distinct collections of secondary metabolite biosynthetic gene sequences. When grouped at 85% identity, only 1.5% of the adenylation domain, 1.2% of the ketosynthase, and 9.3% of the ketosynthase alpha sequence clusters contained sequences from all three metagenomes. Although there is unlikely to be a simple correlation between biosynthetic gene sequence diversity and the diversity of metabolites encoded by the gene clusters in which these genes reside, our analysis further suggests that sequences in one soil metagenome are so distantly related to sequences in another metagenome that they are, in many cases, likely to arise from functionally distinct gene clusters. The marked differences observed among collections of biosynthetic genes found in even ecologically similar environments suggest that prokaryotic natural product biosynthesis diversity is, like bacterial species diversity, potentially much larger than appreciated from culture-based studies.     

Diverse uncultivated bacterial groups from soils of the arid southwestern United States that are present in many geographic regions.

We have performed a phylogenetic survey of microbial species present in two soils from northern Arizona. Microbial DNA was purified directly from soil samples and subjected to PCR amplification with primers specific for bacterial 16S rRNA gene sequences (rDNAs). Clone libraries from the two soils were constructed, and 60 clone inserts were partially sequenced. Phylogenetic analysis of these sequences revealed extensive diversity. Most of the analyzed sequences (64%) fell into five novel clusters having no known cultured members. Extensive analysis of 10 nearly full-length rDNAs from clones representative of the novel groups indicated that four of the five groups probably cluster into a large "supergroup" which is as distinct from currently recognized bacterial divisions as the latter are from each other. From this we postulate the existence of a major bacterial lineage, previously known only from a single cultured representative, whose diversity and ecology we are only beginning to explore. Analysis of our data and that from other rDNA sequence-based studies of soils from different geographic regions shows considerable overlap of sequence types. Taken together, these groups encompass most of the novel rDNA sequences recovered in each comparable analysis reported to date, despite large differences in soil types and geographic sources. Our results indicate that members of these new groups comprise a phylogenetically diverse, geographically widespread, and perhaps numerically important component of the soil microbiota.     

Direct analysis of genes encoding 16S rRNA from complex communities reveals many novel molecular species within the human gut.

The human intestinal tract harbors a complex microbial ecosystem which plays a key role in nutrition and health. Although this microbiota has been studied in great detail by culture techniques, microscopic counts on human feces suggest that 60 to 80% of the observable bacteria cannot be cultivated. Using comparative analysis of cloned 16S rRNA gene (rDNA) sequences, we have investigated the bacterial diversity (both cultivated and noncultivated bacteria) within an adult-male fecal sample. The 284 clones obtained from 10-cycle PCR were classified into 82 molecular species (at least 98% similarity). Three phylogenetic groups contained 95% of the clones: the Bacteroides group, the Clostridium coccoides group, and the Clostridium leptum subgroup. The remaining clones were distributed among a variety of phylogenetic clusters. Only 24% of the molecular species recovered corresponded to described organisms (those whose sequences were available in public databases), and all of these were established members of the dominant human fecal flora (e.g., Bacteroides thetaiotaomicron, Fusobacterium prausnitzii, and Eubacterium rectale). However, the majority of generated rDNA sequences (76%) did not correspond to known organisms and clearly derived from hitherto unknown species within this human gut microflora.     

Species Diversity of Uncultured and Cultured Populations of Soil and Marine Ammonia Oxidizing Bacteria

Although molecular techniques are considered to provide a more comprehensive view of species diversity of natural microbial populations, few studies have compared diversity assessed by molecular and cultivation-based approaches using the same samples. To achieve this, the diversity of natural populations of ammonia oxidising bacteria in arable soil and marine sediments was determined by analysis of 16S rDNA sequences from enrichment cultures, prepared using standard methods for this group, and from 16S rDNA cloned from DNA extracted directly from the same environmental samples. Soil and marine samples yielded 31 and 18 enrichment cultures, respectively, which were compared with 50 and 40 environmental clones. There was no evidence for selection for particular ammonia oxidizer clusters by different procedures employed for enrichment from soil samples, although no culture was obtained in medium at acid pH. In soil enrichment cultures, Nitrosospira cluster 3 sequences were most abundant, whereas clones were distributed more evenly between Nitrosospira clusters 2, 3, and 4. In marine samples, the majority of enrichment cultures contained Nitrosomonas, whereas Nitrosospira sequences were most abundant among environmental clones. Soil enrichments contained a higher proportion of identical sequences than clones, suggesting laboratory selection for particular strains, but the converse was found in marine samples. In addition, 16% of soil enrichment culture sequences were identical to those in environmental clones, but only 1 of 40 marine enrichments was found among clones, indicating poorer culturability of marine strains represented in the clone library, under the conditions employed. The study demonstrates significant differences in species composition assessed by molecular and culture-based approaches but indicates also that, employing only a limited range of cultivation conditions, 7% of the observed sequence diversity in clones of ammonia oxidizers from these environments could be obtained in laboratory enrichment culture. Further studies and experimental approaches are required to determine which approach provides better representation of the natural community.     

Affinities between Asian non-human Schistosoma species,the S. indicum group,and the African human schistosomes

Schistosoma species have traditionally been arranged in groups based on egg morphology, geographical origins, and the genus or family of snail intermediate host. One of these groups is the 'S. indicum group' comprising species from Asia that use pulmonate snails as intermediate hosts. DNA sequences were obtained from the four members of this group (S. indicum, S. spindale, S. nasale and S. incognitum) to provide information concerning their phylogenetic relationships with other Asian and African species and species groups. The sequences came from the second internal transcribed spacer (ITS2) of the ribosomal gene repeat, part of the 28S ribosomal RNA gene (28S), and part of the mitochondrial cytochrome c oxidase subunit 1 (CO1) gene. Tree analyses using both distance and parsimony methods showed the S. indicum group not to be monophyletic. Schistosoma indicum, S. spindale and S. nasale were clustered among African schistosomes, while S. incognitum was placed as sister to the African species (using ITS2 and 28S nucleotide sequences and CO1 amino acid sequences), or as sister to all other species of Schistosoma (CO1 nucleotide sequences). Based on the present molecular data, a scenario for the evolution of the S. indicum group is discussed.     

Evaluation of ribosomal RNA gene restriction patterns for the classification of Bacillus species and related genera

AIMS: To identify Bacillus species and related genera by fingerprinting based on ribosomal RNA gene restriction patterns; to compare ribosomal RNA gene restriction patterns-based phylogenetic trees with trees based on 16S rRNA gene sequences; to evaluate the usefulness of ribosomal RNA gene restriction patterns as a taxonomic tool for the classification of Bacillus species and related genera. METHODS AND RESULTS: Seventy-eight bacterial species which include 42 Bacillus species, 31 species from five newly created Bacillus-related genera, and five species from five phenotypically related genera were tested. A total of 77 distinct 16S rRNA gene hybridization banding patterns were obtained. The dendrogram resulting from UPGMA analysis showed three distinct main genetic clusters at the 75% banding pattern similarity. A total of 77 distinct 23S and 5S rRNA genes hybridization banding patterns were obtained, and the dendrogram showed four distinct genetic clusters at the 75% banding pattern similarity. A third dendrogram was constructed using a combination of the data from the 16S rRNA gene fingerprinting and the 23S and 5S rRNA genes fingerprinting. It revealed three distinct main phylogenetic clusters at the 75% banding pattern similarity. CONCLUSIONS: The Bacillus species along with the species from related genera were identified successfully and differentiated by ribosomal RNA gene restriction patterns, and most were distributed with no apparent order in various clusters on each of the three dendrograms. SIGNIFICANCE AND IMPACT OF THE STUDY: Our data indicate that ribosomal RNA gene restriction patterns can be used to reconstruct the phylogeny of the Bacillus species and derived-genera that approximates, but does not duplicate, phylogenies based on 16S rRNA gene sequences.