Evolution according to large ribosomal subunit RNA

Evolutionary trees were constructed, by distance methods, from an alignment of 225 complete large subunit (LSU) rRNA sequences, representing Eucarya, Archaea, Bacteria, plastids, and mitochondria. A comparison was made with trees based on sets of small subunit (SSU) rRNA sequences. Trees constructed on the set of 172 species and organelles for which the sequences of both molecules are known had a very similar topology, at least with respect to the divergence order of large taxa such as the eukaryotic kingdoms and the bacterial divisions. However, since there are more than ten times as many SSU as LSU rRNA sequences, it is possible to select many SSU rRNA sequence sets of equivalent size but different species composition. The topologies of these trees showed considerable differences according to the particular species set selected.The effect of the dataset and of different distance correction methods on tree topology was tested for both LSU and SSU rRNA by repetitive random sampling of a single species from each large taxon. The impact of the species set on the topology of the resulting consensus trees is much lower using LSU than using SSU rRNA. This might imply that LSU rRNA is a better molecule for studying wide-range relationships. The mitochondria behave clearly as a monophyletic group, clustering with the Proteobacteria. Gram-positive bacteria appear as two distinct groups, which are found clustered together in very few cases. Archaea behave as if monophyletic in most cases, but with a low confidence.Abbreviations LSU rRNA large subunit ribosomal RNA - SSU rRNA small subunit ribosomal RNA - JC Jukes and Cantor - JN Jin and Nei Correspondence to: R. De Wachter     

REVEALING GENETIC DIVERSITY OF EUKARYOTIC MICROORGANISMS IN AQUATIC ENVIRONMENTS BY DENATURING GRADIENT GEL ELECTROPHORESIS

A new Eucarya-specific 18S rDNA primer set was constructed and tested using denaturing gradient gel electrophoresis to analyze the genetic diversity of eukaryotic microorganisms in aquatic environments. All eukaryal lines of descent exhibited four or fewer nucleotide mismatches in the forward primer sequence, except for the Microspora line of descent. The reverse primer annealed to a more conserved region with fewer than two nucleotide mismatches. Genomic DNA from test organisms with different numbers of nucleotide mismatches were amplified to test primer specificity. Relatively low annealing temperatures allowed the amplification of sequences with up to four nucleotide mismatches while still maintaining specificity for the eukaryal domain. Denaturing gradient gel electrophoresis was used to separate similarly sized PCR products of environmental samples, and the obtained banding patterns were converted to a binary format for statistical comparisons. Cluster analysis of these patterns showed similar results to a cluster analysis based on environmental variables. This approach provides an analytical tool to study the population structure and molecular ecology of eukaryotic microbial communities inhabiting aquatic environments.     

Inferring the Pattern of Spontaneous Mutation from the Pattern of Substitution in Unitary Pseudogenes of Mycobacterium leprae and a Comparison of Mutation Patterns Among Distantly Related Organisms

The pattern of spontaneous mutation can be inferred from the pattern of substitution in pseudogenes, which are known to be under very weak or no selective constraint. We modified an existing method (Gojobori T, et al., J Mol Evol 18:360, 1982) to infer the pattern of mutation in bacteria by using 569 pseudogenes from Mycobacterium leprae. In Gojobori et al.’s method, the pattern is inferred by using comparisons involving a pseudogene, a conspecific functional paralog, and an outgroup functional ortholog. Because pseudogenes in M. leprae are unitary, we replaced the missing paralogs by functional orthologs from M. tuberculosis. Functional orthologs from Streptomyces coelicolor served as outgroups. We compiled a database consisting of 69,378 inferred mutations. Transitional mutations were found to constitute more than 56% of all mutations. The transitional bias was mainly due to C→T and G→A, which were also the most frequent mutations on the leading strand and the only ones that were significantly more frequent than the random expectation. The least frequent mutations on the leading strand were A→T and T→A, each with a relative frequency of less than 3%. The mutation pattern was found to differ between the leading and the lagging strands. This asymmetry is thought to be the cause for the typical chirochoric structure of bacterial genomes. The physical distance of the pseudogene from the origin of replication (ori) was found to have almost no effect on the pattern of mutation. A surprising similarity was found between the mutation pattern in M. leprae and previously inferred patterns for such distant taxa as human and Drosophila. The mutation pattern on the leading strand of M. leprae was also found to share some common features with the pattern inferred for the heavy strand of the human mitochondrial genome. These findings indicate that taxon-specific factors may only play secondary roles in determining patterns of mutation. Electronic Supplementary Material Electronic Supplementary material is available for this article at and accessible for authorised users. [Reviewing Editor:Dr. Dmitri Petrov]