Mitochondria, organelles specialized in energy conservation reactions in eukaryotic cells, have evolved from eubacteria-like endosymbionts whose closest known relatives are the rickettsial group of alpha-proteobacteria. Because characterized mitochondrial genomes vary markedly in structure, it has been impossible to infer from them the initial form of the proto-mitochondrial genome. This would require the identification of minimally derived mitochondrial DNAs that better reflect the ancestral state. Here we describe such a primitive mitochondrial genome, in the freshwater protozoon Reclinomonas americana. This protist displays ultrastructural characteristics that ally it with the retortamonads, a protozoan group that lacks mitochondria. R. americana mtDNA (69,034 base pairs) contains the largest collection of genes (97) so far identified in any mtDNA, including genes for 5S ribosomal RNA, the RNA component of RNase P, and at least 18 proteins not previously known to be encoded in mitochondria. Most surprising are four genes specifying a multisubunit, eubacterial-type RNA polymerase. Features of gene content together with eubacterial characteristics of genome organization and expression not found before in mitochondrial genomes indicate that R. americana mtDNA more closely resembles the ancestral proto-mitochondrial genome than any other mtDNA investigated to date.

The mechanism responsible for somatic mutation in the variable genes of antibodies is unknown and may differ from previously described mechanisms that produce mutation in DNA. We have analyzed 421 somatic mutations from the rearranged immunoglobulin variable genes of mice to determine (1) if the nucleotide substitutions differ from those generated during meiosis and (2) if the presence of nearby direct and inverted repeated sequences could template mutations around the variable gene. The results reveal a difference in the pattern of substitutions obtained from somatic mutations vs. meiotic mutations. An increased frequency of T:A to C:G transitions and a decreased frequency of mutations involving a G in the somatic mutants compared to the meiotic mutants is indicated. This suggests that the mutational processes responsible for somatic mutation in antibody genes differs from that responsible for mutation during meiosis. An analysis of the local DNA sequences revealed many direct repeats and palindromic sequences that were capable of templating some of the known mutations. Although additional factors may be involved in targeting mutations to the variable gene, mistemplating by nearby repeats may provide a mechanism for the enhancement of somatic mutation.

All proteins of Saccharomyces cerevisiae have been compared to determine how frequently segments from one protein are present in other proteins. Proteins that are recently evolutionarily related were excluded. The most frequently present protein segments are long, tandem repetitions of a single amino acid. For some of these segments, up to 14% of all proteins in the genome were found to have similar peptides within them. These peptide segments may not be functional protein domains. Although they are the most common shared feature of yeast proteins, their ubiquity and simplicity argue that their probable function may be to simply serve as spacers between other protein motifs.

The widespread use of restriction endonucleases and DNA sequencing provides a wealth of data on the genetic structure of natural populations. From such data, detailed phylogenies can be constructed and qualitatively different kinds of mutational and substitutional processes can be studied. A neutral model can be constructed to describe the frequencies of sequence haplotypes according to the haplotypes from which they arose and the types of substitution that distinguish them. One feature of such a model is that it examines the ancestors of various sequences. Deleterious selection against a character has a distinct effect on descendant sequences. Individuals containing many deleterious characters leave few or no descendants because these individuals are quickly eliminated by selection. Hence, such a model lends itself to the study of deleterious selection. It is possible to determine if selection is required by searching for any set of mutation rates that can explain an observed set of data. Simulations of artificial populations without selection suggest that this method seldom indicates selection when none is present. Furthermore, recent recombination events between the sequences do not induce false indications of deleterious selection. The method may, however, require relatively large simple sizes in order to accurately reflect the true nature of populations. The method is often very conservative and may not indicate selection when it is, in fact, present.

Sites in proteins evolve at markedly different rates; some are highly conserved, others change rapidly. We have developed a maximum likelihood method to identify regions of a protein that evolve rapidly or slowly relative to the remaining structure. We also show that solvent accessibility and distance from the catalytic site are major determinants of evolutionary rate in eubacterial isocitrate dehydrogenases. These two variables account for most of the rate heterogeneity not ascribable to stochastic effects.