A chimeric prokaryotic ancestry of mitochondria and primitive eukaryotes

Overexpression of antimicrobial peptides contributes to aging through cytotoxic effects in Drosophila tissues

The innate immune response tends to become hyperactive and proinflammatory in older organisms. We investigated connections between activity of the immune-related genes and aging using the Drosophila model. A hallmark of Drosophila immunity is the production of antimicrobial peptides (AMP), whose expression is triggered via activation of the Toll and Imd immune pathways and regulated by NF-ĸB-like transcription factors, Dif/Dorsal and Relish. It was previously shown that overexpression of the upstream component of the immune pathways shortens lifespan via activation of the Relish-dependent immune response. Here we show that direct overexpression of the Relish target AMP genes broadly at high levels or in the fat body induced apoptosis, elicited depolarization of the mitochondria and significantly shortened lifespan. Underexpression of Relish in the fat body beginning in the second half of lifespan prevented overactivation of AMPs and extended longevity. Unlike infection-induced responses, the age-related increase in AMPs does not require the upstream recognition/transduction module of the Imd pathway. It does however require downstream elements, including Relish and Ird5, a component of the downstream IKK complex. Together, these results established causal links between high-level production of antimicrobial peptides and longevity.

Genome Signatures, Self-Organizing Maps and Higher Order Phylogenies: A Parametric Analysis

Genome signatures are data vectors derived from the compositional statistics of DNA. The self-organizing map (SOM) is a neural network method for the conceptualisation of relationships within complex data, such as genome signatures. The various parameters of the SOM training phase are investigated for their effect on the accuracy of the resulting output map. It is concluded that larger SOMs, as well as taking longer to train, are less sensitive in phylogenetic classification of unknown DNA sequences. However, where a classification can be made, a larger SOM is more accurate. Increasing the number of iterations in the training phase of the SOM only slightly increases accuracy, without improving sensitivity. The optimal length of the DNA sequence k-mer from which the genome signature should be derived is 4 or 5, but shorter values are almost as effective. In general, these results indicate that small, rapidly trained SOMs are generally as good as larger, longer trained ones for the analysis of genome signatures. These results may also be more generally applicable to the use of SOMs for other complex data sets, such as microarray data.

Tellurium as a valuable tool for studying the prokaryotic origins of mitochondria

Mitochondria are eukaryotic organelles which contain the own genetic material and evolved from free-living Eubacteria, namely hydrogen-producing Alphaproteobacteria. Since 1965, biologists provided, by research at molecular level, evidence for the prokaryotic origins of mitochondria. However, determining the precise origins of mitochondria is challenging due to inherent difficulties in phylogenetically reconstructing ancient evolutionary events. The use of new tools to evidence the prokaryotic origin of mitochondria could be useful to gain an insight into the bacterial endosymbiotic event that resulted in the permanent acquisition of bacteria, from the ancestral cell, that through time were transformed into mitochondria. Electron microscopy has shown that both proteobacterial and yeast cells during their growth in the presence of increasing amount of tellurite resulted in dose-dependent blackening of the culture due to elemental tellurium (Te(0)) that formed large deposits either along the proteobacterial membrane or along the yeast cell wall and mitochondria. Since the mitochondrial inner membrane composition is similar to that of proteobacterial membrane, in the present work we evidenced the black tellurium deposits on both, cell wall and mitochondria of ρ(+) and respiratory deficient ρ(-) mutants of yeast. A possible role of tellurite in studying the evolutionary origins of mitochondria will be discussed.

The impact of history on our perception of evolutionary events: endosymbiosis and the origin of eukaryotic complexity

Evolutionary hypotheses are correctly interpreted as products of the data they set out to explain, but they are less often recognized as being heavily influenced by other factors. One of these is the history of preceding thought, and here I look back on historically important changes in our thinking about the role of endosymbiosis in the origin of eukaryotic cells. Specifically, the modern emphasis on endosymbiotic explanations for numerous eukaryotic features, including the cell itself (the so-called chimeric hypotheses), can be seen not only as resulting from the advent of molecular and genomic data, but also from the intellectual acceptance of the endosymbiotic origin of mitochondria and plastids. This transformative idea may have unduly affected how other aspects of the eukaryotic cell are explained, in effect priming us to accept endosymbiotic explanations for endogenous processes. Molecular and genomic data, which were originally harnessed to answer questions about cell evolution, now so dominate our thinking that they largely define the question, and the original questions about how eukaryotic cellular architecture evolved have been neglected. This is unfortunate because, as Roger Stanier pointed out, these cellular changes represent life's "greatest single evolutionary discontinuity," and on this basis I advocate a return to emphasizing evolutionary cell biology when thinking about the origin of eukaryotes, and suggest that endogenous explanations will prevail when we refocus on the evolution of the cell.

A new vector for identification of prokaryotes and their variable-size genomes

A large number of prokaryotes have been produced, so how to provide a means to describe and distinguish them accurately is becoming a key issue of prokaryotic taxonomy. We proposed an efficient algorithm to filter out most genome fragments that are horizontally transferred, and extracted a new genome vector (GV). To highlight the power of GV, we applied it to identify prokaryotes and their variable-size genome fragments. The result indicated that the new vector as species tags can accurately identify genome fragments as short as 3,000 bp at species level.

Barcodes for genomes and applications

Background

Each genome has a stable distribution of the combined frequency for each k-mer and its reverse complement measured in sequence fragments as short as 1000 bps across the whole genome, for 1<k<6. The collection of these k-mer frequency distributions is unique to each genome and termed the genome's barcode.

Results

We found that for each genome, the majority of its short sequence fragments have highly similar barcodes while sequence fragments with different barcodes typically correspond to genes that are horizontally transferred or highly expressed. This observation has led to new and more effective ways for addressing two challenging problems: metagenome binning problem and identification of horizontally transferred genes. Our barcode-based metagenome binning algorithm substantially improves the state of the art in terms of both binning accuracies and the scope of applicability. Other attractive properties of genomes barcodes include (a) the barcodes have different and identifiable characteristics for different classes of genomes like prokaryotes, eukaryotes, mitochondria and plastids, and (b) barcodes similarities are generally proportional to the genomes' phylogenetic closeness.

Conclusion

These and other properties of genomes barcodes make them a new and effective tool for studying numerous genome and metagenome analysis problems.

The deep archaeal roots of eukaryotes

The set of conserved eukaryotic protein-coding genes includes distinct subsets one of which appears to be most closely related to and, by inference, derived from archaea, whereas another one appears to be of bacterial, possibly, endosymbiotic origin. The “archaeal” genes of eukaryotes, primarily, encode components of information-processing systems, whereas the “bacterial” genes are predominantly operational. The precise nature of the archaeo–eukaryotic relationship remains uncertain, and it has been variously argued that eukaryotic informational genes evolved from the homologous genes of Euryarchaeota or Crenarchaeota (the major branches of extant archaea) or that the origin of eukaryotes lies outside the known diversity of archaea. We describe a comprehensive set of 355 eukaryotic genes of apparent archaeal origin identified through ortholog detection and phylogenetic analysis. Phylogenetic hypothesis testing using constrained trees, combined with a systematic search for shared derived characters in the form of homologous inserts in conserved proteins, indicate that, for the majority of these genes, the preferred tree topology is one with the eukaryotic branch placed outside the extant diversity of archaea although small subsets of genes show crenarchaeal and euryarchaeal affinities. Thus, the archaeal genes in eukaryotes appear to descend from a distinct, ancient, and otherwise uncharacterized archaeal lineage that acquired some euryarchaeal and crenarchaeal genes via early horizontal gene transfer.

Genetic evidence for a mitochondriate ancestry in the 'amitochondriate' flagellate Trimastix pyriformis

Most modern eukaryotes diverged from a common ancestor that contained the α-proteobacterial endosymbiont that gave rise to mitochondria. The ‘amitochondriate’ anaerobic protist parasites that have been studied to date, such as Giardia and Trichomonas harbor mitochondrion-related organelles, such as mitosomes or hydrogenosomes. Yet there is one remaining group of mitochondrion-lacking flagellates known as the Preaxostyla that could represent a primitive ‘pre-mitochondrial’ lineage of eukaryotes. To test this hypothesis, we conducted an expressed sequence tag (EST) survey on the preaxostylid flagellate Trimastix pyriformis, a poorly-studied free-living anaerobe. Among the ESTs we detected 19 proteins that, in other eukaryotes, typically function in mitochondria, hydrogenosomes or mitosomes, 12 of which are found exclusively within these organelles. Interestingly, one of the proteins, aconitase, functions in the tricarboxylic acid cycle typical of aerobic mitochondria, whereas others, such as pyruvate:ferredoxin oxidoreductase and [FeFe] hydrogenase, are characteristic of anaerobic hydrogenosomes. Since Trimastix retains genetic evidence of a mitochondriate ancestry, we can now say definitively that all known living eukaryote lineages descend from a common ancestor that had mitochondria.

Circuit assemblages derived from net dinucleotide values provide a succinct identity for the HIV-1 genome and each of its genes

Dinucleotide composition has been recognized as a species-specific characteristic of organisms for more than 20 years. Lang (2000, Bioinformatics, 16, 212-221), found that in Monilinia rRNA a species-specific identity is conserved when dinucleotide counts are compressed into net dinucleotide counts (e.g., 50AC + 20CA = 30nAC) and clusters of net dinucleotides of equal value (e.g., 30nAC + 30nCT + 30nTA = 30ACTA) which were called circuits. This study evaluates circuit assemblages (CAs)--the collection of all net dinucleotide circuits derived from a sequence--in a diverse set of 110 HIV-1 genomes. The circuit composition, which is often based on <or= 15% of the total dinucleotides of a sequence, uniquely characterizes each gene and genome, although the pairwise similarity of the sequences is as low as 70%. Variations in net dinucleotide distributions are associated with structural and functional features of the genome and its proteins. Circuit values of the env signal sequence are different between subtypes that have remained localized and those that have become pandemic. CAs of complete genomes of HIV-1 are similar to other retro-transcribing viruses, and distinct from viroids and single- and double-stranded DNA and RNA viruses. CAs provide a succinct, quantitative, and species-specific description of DNA composition that is consistent with the results of traditional analytic methods at multiple levels of genome organization.

Genome signatures, self-organizing maps and higher order phylogenies: a parametric analysis

Genome signatures are data vectors derived from the compositional statistics of DNA. The self-organizing map (SOM) is a neural network method for the conceptualisation of relationships within complex data, such as genome signatures. The various parameters of the SOM training phase are investigated for their effect on the accuracy of the resulting output map. It is concluded that larger SOMs, as well as taking longer to train, are less sensitive in phylogenetic classification of unknown DNA sequences. However, where a classification can be made, a larger SOM is more accurate. Increasing the number of iterations in the training phase of the SOM only slightly increases accuracy, without improving sensitivity. The optimal length of the DNA sequence k-mer from which the genome signature should be derived is 4 or 5, but shorter values are almost as effective. In general, these results indicate that small, rapidly trained SOMs are generally as good as larger, longer trained ones for the analysis of genome signatures. These results may also be more generally applicable to the use of SOMs for other complex data sets, such as microarray data.

Protein signatures distinctive of alpha proteobacteria and its subgroups and a model for alpha-proteobacterial evolution

Alpha (alpha) proteobacteria comprise a large and metabolically diverse group. No biochemical or molecular feature is presently known that can distinguish these bacteria from other groups. The evolutionary relationships among this group, which includes numerous pathogens and agriculturally important microbes, are also not understood. Shared conserved inserts and deletions (i.e., indels or signatures) in molecular sequences provide a powerful means for identification of different groups in clear terms, and for evolutionary studies (see www.bacterialphylogeny.com). This review describes, for the first time, a large number of conserved indels in broadly distributed proteins that are distinctive and unifying characteristics of either all alpha-proteobacteria, or many of its constituent subgroups (i.e., orders, families, etc.). These signatures were identified by systematic analyses of proteins found in the Rickettsia prowazekii (RP) genome. Conserved indels that are unique to alpha-proteobacteria are present in the following proteins: Cytochrome c oxidase assembly protein Ctag, PurC, DnaB, ATP synthase alpha-subunit, exonuclease VII, prolipoprotein phosphatidylglycerol transferase, RP-400, FtsK, puruvate phosphate dikinase, cytochrome b, MutY, and homoserine dehydrogenase. The signatures in succinyl-CoA synthetase, cytochrome oxidase I, alanyl-tRNA synthetase, and MutS proteins are found in all alpha-proteobacteria, except the Rickettsiales, indicating that this group has diverged prior to the introduction of these signatures. A number of proteins contain conserved indels that are specific for Rickettsiales (XerD integrase and leucine aminopeptidase), Rickettsiaceae (Mfd, ribosomal protein L19, FtsZ, Sigma 70 and exonuclease VII), or Anaplasmataceae (Tgt and RP-314), and they distinguish these groups from all others. Signatures in DnaA, RP-057, and DNA ligase A are commonly shared by various Rhizobiales, Rhodobacterales, and Caulobacter, suggesting that these groups shared a common ancestor exclusive of other alpha-proteobacteria. A specific relationship between Rhodobacterales and Caulobacter is indicated by a large insert in the Asn-Gln amidotransferase. The Rhizobiales group of species are distinguished from others by a large insert in the Trp-tRNA synthetase. Signature sequences in a number of other proteins (viz. oxoglutarate dehydogenase, succinyl-CoA synthase, LytB, DNA gyrase A, LepA, and Ser-tRNA synthetase) serve to distinguish the Rhizobiaceae, Brucellaceae, and Phyllobacteriaceae families from Bradyrhizobiaceae and Methylobacteriaceae. Based on the distribution patterns of these signatures, it is now possible to logically deduce a model for the branching order among alpha-proteobacteria, which is as follows: Rickettsiales --> Rhodospirillales-Sphingomonadales --> Rhodobacterales-Caulobacterales --> Rhizobiales (Rhizobiaceaea-Brucellaceae-Phyllobacteriaceae, and Bradyrhizobiaceae). The deduced branching order is also consistent with the topologies in the 16 rRNA and other phylogenetic trees. Signature sequences in a number of other proteins provide evidence that alpha-proteobacteria is a late branching taxa within Bacteria, which branched after the delta,epsilon-subdivisions but prior to the beta,gamma-proteobacteria. The shared presence of many of these signatures in the mitochondrial (eukaryotic) homologs also provides evidence of the alpha-proteobacterial ancestry of mitochondria.

Predicted highly expressed genes in archaeal genomes

Based primarily on 16S rRNA sequence comparisons, life has been broadly divided into the three domains of Bacteria, Archaea, and Eukarya. Archaea is further classified into Crenarchaea and Euryarchaea. Archaea generally thrive in extreme environments as assessed by temperature, pH, and salinity. For many prokaryotic organisms, ribosomal proteins (RP), transcription/translation factors, and chaperone genes tend to be highly expressed. A gene is predicted highly expressed (PHX) if its codon usage is rather similar to the average codon usage of at least one of the RP, transcription/translation factors, and chaperone gene classes and deviates strongly from the average gene of the genome. The thermosome (Ths) chaperonin family represents the most salient PHX genes among Archaea. The chaperones Trigger factor and HSP70 have overlapping functions in the folding process, but both of these proteins are lacking in most archaea where they may be substituted by the chaperone prefoldin. Other distinctive PHX proteins of Archaea, absent from Bacteria, include the proliferating cell nuclear antigen PCNA, a replication auxiliary factor responsible for tethering the catalytic unit of DNA polymerase to DNA during high-speed replication, and the acidic RP P0, which helps to initiate mRNA translation at the ribosome. Other PHX genes feature Cell division control protein 48 (Cdc48), whereas the bacterial septation proteins FtsZ and minD are lacking in Crenarchaea. RadA is a major DNA repair and recombination protein of Archaea. Archaeal genomes feature a strong Shine-Dalgarno ribosome-binding motif more pronounced in Euryarchaea compared with Crenarchaea.

Quantifying the species-specificity in genomic signatures, synonymous codon choice, amino acid usage and G+C content

Each prokaryote has a unique genomic signature as evidenced by a set of species-specific frequencies of short oligonucleotides. With respect to genomic signatures a bacterial genome is homogenous and the variation within a genome is smaller than the variations between genomes of different species. This study quantifies the species-specificity of genomic signatures in the complete genomes of 57 prokaryotes. The species-specificity in the genomic signature was related to the quantification of other sequence biases, such as G+C content, synonymous codon choice and amino acid usage. The results confirm that the genomic signature is genome-wide with high species-specificity in both coding and non-coding regions. In coding regions the species-specific bias in synonymous codon choice was comparable to the genomic signature, while the bias in amino acid usage only captured about 50% of the species-specific bias in the genomic signature. A correlation between the species-specificity in synonymous codon choice and amino acid usage was identified, in which proteins with species-specific amino acid usage were also coded with species-specific synonymous codon choice. However, we demonstrated that the G+C content captures only approximately 40% of the species-specificity in the genomic signature, and is insufficient to explain the species specificity in the non-coding regions. Thus, the species-specific bias in non-coding regions remains largely unknown. Further, we compared the genomic signature in relation to phylogenetic distance. This was performed in order to illustrate the feasibility of a hierarchical classification scheme in future applications of the described classification methodology in screening for horizontal gene transfer and biodiversity studies.

Molecular analysis of the multiple GroEL proteins of Chlamydiae

Genome sequencing revealed that all six chlamydiae genomes contain three groEL-like genes (groEL1, groEL2, and groEL3). Phylogenetic analysis of groEL1, groEL2, and groEL3 indicates that these genes are likely to have been present in chlamydiae since the beginning of the lineage. Comparison of deduced amino acid sequences of the three groEL genes with those of other organisms showed high homology only for groEL1, although comparison of critical amino acid residues that are required for polypeptide binding of the Escherichia coli chaperonin GroEL revealed substantial conservation in all three chlamydial GroELs. This was further supported by three-dimensional structural predictions. All three genes are expressed constitutively throughout the developmental cycle of Chlamydia trachomatis, although groEL1 is expressed at much higher levels than are groEL2 and groEL3. Transcription of groEL1, but not groEL2 and groEL3, was elevated when HeLa cells infected with C. trachomatis were subjected to heat shock. Western blot analysis with polyclonal antibodies raised against recombinant GroEL1, GroEL2, and GroEL3 demonstrated the presence of the three proteins in C. trachomatis elementary bodies, with GroEL1 being present in the largest amount. Only C. trachomatis groEL1 and groES together complemented a temperature-sensitive E. coli groEL mutant. Complementation did not occur with groEL2 or groEL3 alone or together with groES. The role for each of the three GroELs in the chlamydial developmental cycle and in disease pathogenesis requires further study.

Heterogeneity of genome and proteome content in bacteria, archaea, and eukaryotes

Our analysis compares bacteria, archaea, and eukaryota with respect to a wide assortment of genome and proteome properties. These properties include ribosomal protein gene distributions, chaperone protein contrasts, major variation of transcription/translation factors, gene encoding pathways of energy metabolism, and predicted protein expression levels. Significant differences within and between the three domains of life include protein lengths, information processing procedures, many metabolic and lipid biosynthesis pathways, cellular controls, and regulatory proteins. Differences among genomes are influenced by lifestyle, habitat, physiology, energy sources, and other factors.

On surrogate methods for detecting lateral gene transfer

Surrogate methods for detecting lateral gene transfer are those that do not require inference of phylogenetic trees. Herein I apply four such methods to identify open reading frames (ORFs) in the genome of Escherichia coli K12 that may have arisen by lateral gene transfer. Only two of these methods detect the same ORFs more frequently than expected by chance, whereas several intersections contain many fewer ORFs than expected. Each of the four methods detects a different non-random set of ORFs. The methods may detect lateral ORFs of different relative ages; testing this hypothesis will require rigorous inference of trees.

Duplication of a truncated paralog of the family B DNA polymerase gene Aa-polB in the Agrocybe aegerita mitochondrial genome

The Agrocybe aegerita mitochondrial genome contains a truncated family B DNA polymerase gene (Aa-polB P1) whose nucleotide sequence is 86% identical to the previously described and potentially functional Aa-polB gene. A tRNA(Met) gene occurs at the 3' end of the Aa-polB P1 gene. The Aa-polB P1 gene could result from reverse transcription of an Aa-polB mRNA primed by a tRNA(Met) followed by the integration of the cDNA after recombination at the mitochondrial tRNA locus. Two naturally occurring alleles of Aa-polB P1 carry one or two copies of the disrupted sequence. In strains with two copies of Aa-polB P1, these copies are inverted relative to one another and separated by a short sequence carrying the tRNA(Met) gene. Both A. aegerita mitochondrial family B DNA polymerases were found to be related to other family B DNA polymerases (36 to 53% amino acid similarity), including the three enzymes of the archaebacterium Sulfolobus solfataricus. If mitochondria originated from a fusion between a Clostridium-like eubacterium and a Sulfolobus-like archaebacterium, then the A. aegerita family B DNA polymerase genes could be remnants of the archaebacterial genes.

Phylogenetic inferences from molecular sequences: review and critique

Conflicting results often accompany phylogenetic analyses of RNA, DNA, or protein sequences across diverse species. Causes contributing to these conflicts relate to ambiguities in identifying homologous characters of alignments, sensitivity of tree-making methods to unequal evolutionary rates, biases in species sampling, unrecognized paralogy, functional differentiation, loss of phylogenetic informational content due to long branches or fast evolution, and difficulties with the assumptions and approximations used to infer phylogenetic relationships. Attempts to surmount these conflicts by averaging over many proteins are problematic due to inherent biases of selected families, lack of signal in others, and events of lateral transfer, fusion, and/or chimerism. The process of assessing reliability of the results using the bootstrap method is strewn with obstacles because of lack of independence and inhomogeneity in the molecular data. Problems inherent to the three major procedures for developing phylogenetic trees--parsimony, likelihood, distance--are reviewed. Special attention is given to the problem of inferring evolutionary distances from patterns of similarity among sequences. The difficulties encountered by methods of phylogenetic reconstructions based on the analysis of divergent sequence families make new methods based on the analysis of complete genomes reasonable alternatives. Several of these are considered, including the signature sequences of Gupta and associates, the study of genome profiles, and the genomic signature set forth by Karlin and colleagues.

The origin and early evolution of mitochondria

Complete sequences of numerous mitochondrial, many prokaryotic, and several nuclear genomes are now available. These data confirm that the mitochondrial genome originated from a eubacterial (specifically alpha-proteobacterial) ancestor but raise questions about the evolutionary antecedents of the mitochondrial proteome.

Heat shock protein 60 sequence comparisons: duplications, lateral transfer, and mitochondrial evolution

Heat shock proteins 60 (GroEL) are highly expressed essential proteins in eubacterial genomes and in eukaryotic organelles. These chaperone proteins have been advanced as propitious marker sequences for tracing the evolution of mitochondrial (Mt) genomes. Similarities among HSP60 sequences based on significant segment pair alignment calculations are used to deduce associations of sequences taking into account GroEL functional/structural domain differences and to relate HSP60 duplications pervasive in alpha-proteobacterial lineages to the dynamics of lateral transfer and plasmid integration. Multiple alignments with consensuses are determined for 10 natural groups. The group consensuses sharpen the similarity contrasts among individual sequences. In particular, the Mt group matches best with the classical alpha-proteobacteria and closely with Rickettsia but significantly worse with the rickettsial groups Ehrlichia and Orientia. However, across broad protein sequence comparisons, there appears to be no consistent prokaryote whose protein sequences align best with animal Mt genomes. There are plausible scenarios indicating that the nuclear-encoded HSP60 (and HSP70) sequences functioning in Mt are results of lateral transfer and are probably derived from an alpha-proteobacterium. This hypothesis relates to the plethora of duplicated HSP60 sequences among the classical alpha-proteobacteria contrasted with no duplications of HSP60 among other clades of proteobacterial genomes. Evolutionary relations are confounded by differential selection pressures, convergence, variable mutational rates, site variability, and lateral gene transfer.

Assessing evolutionary relationships among microbes from whole-genome analysis

The determination and analysis of complete genome sequences have recently enabled many major advances to be made in the area of microbial evolutionary biology. These include the determination of the first genome of a Crenarchaeota, the suggestion that horizontal gene transfer may be the rule rather than the exception, and revelations about how genomes evolve on short timescales.

The phylogeny of proteobacteria: relationships to other eubacterial phyla and eukaryotes

The evolutionary relationships of proteobacteria, which comprise the largest and phenotypically most diverse division among prokaryotes, are examined based on the analyses of available molecular sequence data. Sequence alignments of different proteins have led to the identification of numerous conserved inserts and deletions (referred to as signature sequences), which either are unique characteristics of various proteobacterial species or are shared by only members from certain subdivisions of proteobacteria. These signature sequences provide molecular means to define the proteobacterial phyla and their various subdivisions and to understand their evolutionary relationships to the other groups of eubacteria as well as the eukaryotes. Based on signature sequences that are present in different proteins it is now possible to infer that the various eubacterial phyla evolved from a common ancestor in the following order: low-G+C Gram-positive-->high-G+C Gram-positive-->Deinococcus-Thermus (green nonsulfur bacteria)-->cyanobacteria-->Spirochetes-->Chlamydia-Cytophaga-Aquifex -green sulfur bacteria-->Proteobacteria-1 (epsilon and delta)-->Proteobacteria-2 (alpha)-->Proteobacteria-3 (beta)-->Proteobacteria-4 (gamma). An unexpected but important aspect of the relationship deduced here is that the main eubacterial phyla are related to each other linearly rather than in a tree-like manner, suggesting that the major evolutionary changes within Bacteria have taken place in a directional manner. The identified signatures permit placement of prokaryotes into different groups/divisions and could be used for determinative purposes. These signatures generally support the origin of mitochondria from an alpha-proteobacterium and provide evidence that the nuclear cytosolic homologs of many genes are also derived from proteobacteria.

Origins of hydrogenosomes and mitochondria: evolution and organelle biogenesis

It is becoming increasingly evident that all eukaryotes characterized to date bear some mitochondrial trait, whether it be a 'real' mitochondrion, a hydrogenosome, a mitosome or a few genes left behind from secondary losses of organelles. The implication is that the evolutionary history of the mitochondrion may reveal the history of the eukaryotic cell itself.

Evolution of organellar genomes

Accumulating molecular data, particularly complete organellar genome sequences, continue to advance our understanding of the evolution of mitochondrial and chloroplast DNAs. Although the notion of a single primary origin for each organelle has been reinforced, new models have been proposed that tie the acquisition of mitochondria more closely to the origin of the eukaryotic cell per se than is implied by classic endosymbiont theory. The form and content of the ancestral proto-mitochondrial and proto-chloroplast genomes are becoming clearer but unusual patterns of organellar genome structure and organization continue to be discovered. The 'single-gene circle' arrangement recently reported for dinoflagellate chloroplast genomes is a notable example of a highly derived organellar genome.

Genome signature comparisons among prokaryote, plasmid, and mitochondrial DNA

Our basic observation is that each genome has a characteristic "signature" defined as the ratios between the observed dinucleotide frequencies and the frequencies expected if neighbors were chosen at random (dinucleotide relative abundances). The remarkable fact is that the signature is relatively constant throughout the genome; i.e. , the patterns and levels of dinucleotide relative abundances of every 50-kb segment of the genome are about the same. Comparison of the signatures of different genomes provides a measure of similarity which has the advantage that it looks at all the DNA of an organism and does not depend on the ability to align homologous sequences of specific genes. Genome signature comparisons show that plasmids, both specialized and broad-range, and their hosts have substantially compatible (similar) genome signatures. Mammalian mitochondrial (Mt) genomes are very similar, and animal and fungal Mt are generally moderately similar, but they diverge significantly from plant and protist Mt sets. Moreover, Mt genome signature differences between species parallel the corresponding nuclear genome signature differences, despite large differences between Mt and host nuclear signatures. In signature terms, we find that the archaea are not a coherent clade. For example, Sulfolobus and Halobacterium are extremely divergent. There is no consistent pattern of signature differences among thermophiles. More generally, grouping prokaryotes by environmental criteria (e.g., habitat propensities, osmolarity tolerance, chemical conditions) reveals no correlations in genome signature.