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Genomic and evolutionary aspects of Mimivirus.

We recently described a giant double stranded DNA virus called Mimivirus, isolated from amoebae, which might represent a new pneumonia-associated human pathogen. Its unique morphological and genomic characteristics allowed us to propose Mimivirus as a member of a new distinct Nucleocytoplasmic Large DNA viruses family, the Mimiviridae. Mimivirus-specific features, namely its size and its genomic complexity, ranged it between viruses and cellular organisms. This paper reviews our current knowledge on Mimivirus structure, life cycle and genome analysis and discusses its putative evolutionary origin in the tree of species of the three domains of life.

Acanthamoeba↗

Estimation of evolutionary distances between nucleotide sequences.

A formal mathematical analysis of the substitution process in nucleotide sequence evolution was done in terms of the Markov process. By using matrix algebra theory, the theoretical foundation of Barry and Hartigan's (Stat. Sci. 2:191-210, 1987) and Lanave et al.'s (J. Mol. Evol. 20:86-93, 1984) methods was provided. Extensive computer simulation was used to compare the accuracy and effectiveness of various methods for estimating the evolutionary distance between two nucleotide sequences. It was shown that the multiparameter methods of Lanave et al.'s (J. Mol. Evol. 20:86-93, 1984), Gojobori et al.'s (J. Mol. Evol. 18:414-422, 1982), and Barry and Hartigan's (Stat. Sci. 2:191-210, 1987) are preferable to others for the purpose of phylogenetic analysis when the sequences are long. However, when sequences are short and the evolutionary distance is large, Tajima and Nei's (Mol. Biol. Evol. 1:269-285, 1984) method is superior to others.

Base Sequence↗

Process heterochronies in endochondral ossification.

Heterochrony, evolutionary changes in developmental rates and timing, is a key concept in the construction of a synthesis of development and evolution. Heterochronic changes in vertebrate evolution have traditionally been identified through plesiomorphic-apomorphic comparisons of bone growth. This methodological framework assumes that observed heterochronies are the outcome of dissociations of developmental processes in time. Recent findings of non-heterochronic developmental changes underlying morphological heterochrony invalidate this assumption. In this paper, a function for bone growth (at the organ level) has been mathematically deduced from the underlying developmental mechanisms. The temporal domain of the model spans from the time at maximum growth rate, after the formation of growth plates, to the time at atrophy of the proliferating stratum of cells. Three organizational levels were considered: (a) cell kinetics of endochondral ossification, (b) variation of bone growth rates and (c) variation of accumulated bone growth with increasing age. This quantitative model provides an excellent tool to deal with the problem of the developmental basis of morphological change. I have modelled potential evolutionary changes on the system at different levels of biological organization. This new framework involves an epistemological shift in heterochronic analysis from a pattern-oriented inductive way to a process-oriented deductive way. The analysis of the relationships between the evolutionary alterations of endochondral ossification and the morphological expression of these changes reveals that observed pattern heterochronies can be the outcome of different process heterochronies. Moreover, I discuss at length the heteroposic hypothesis, that evolutionary changes in the tight regulation of the amount of protein synthesized by a cell population during development would underlie acceleration or deceleration in cases of evolutionary changes in the initial number of proliferating cells at growth plates. Future research on the genetic basis of process heterochronies and heteroposies will complete our understanding of these evolutionary phenomena.

Animals↗

Direct development in the lungless salamanders: what are the consequences for developmental biology, evolution and phylogenesis?

Direct development is a widespread alternate reproductive mode in living amphibians that is characterized by evolutionary loss of the free-living, aquatic larval stage. Courtship, mating, and oviposition occur on land, and the terrestrial egg hatches as a fully formed, miniature adult. While it is the most common reproductive mode in urodeles, development outside the reproductive tract of the female that proceeds directly to a terrestrial hatchling occurs in only a single lineage, the lungless salamanders of the family Plethodontidae. Evolution of direct development in plethodontids has contributed importantly to the extraordinary evolutionary success of this speciose, geographically widespread, and morphologically and ecologically diverse taxon. Developmental consequences and correlates include increased egg size and embryonic development time, loss of larval structures and ontogenetic repatterning, and altered pattern formation in organogenesis. Evolutionary and phylogenetic consequences and correlates include the loss of larval constraints and origin of morphological novelty, and frequent homoplasy. Analysis of direct development in an evolutionary context illustrates the complex interplay between processes of phylogenetic divergence and developmental biology, and substantiates the prominent role of developmental processes in both constraining phenotypic variation and promoting phenotypic diversity. Despite the proven suitability of direct-developing plethodontid salamanders for laboratory and field study, knowledge of basic features of their developmental biology remains far below that available for many other urodeles. Examination of such features of these "non-model" organisms is an appropriate and deserving goal of future research.

Animals↗

A single determinant dominates the rate of yeast protein evolution.

A gene's rate of sequence evolution is among the most fundamental evolutionary quantities in common use, but what determines evolutionary rates has remained unclear. Here, we carry out the first combined analysis of seven predictors (gene expression level, dispensability, protein abundance, codon adaptation index, gene length, number of protein-protein interactions, and the gene's centrality in the interaction network) previously reported to have independent influences on protein evolutionary rates. Strikingly, our analysis reveals a single dominant variable linked to the number of translation events which explains 40-fold more variation in evolutionary rate than any other, suggesting that protein evolutionary rate has a single major determinant among the seven predictors. The dominant variable explains nearly half the variation in the rate of synonymous and protein evolution. We show that the two most commonly used methods to disentangle the determinants of evolutionary rate, partial correlation analysis and ordinary multivariate regression, produce misleading or spurious results when applied to noisy biological data. We overcome these difficulties by employing principal component regression, a multivariate regression of evolutionary rate against the principal components of the predictor variables. Our results support the hypothesis that translational selection governs the rate of synonymous and protein sequence evolution in yeast.

Amino Acid Substitution↗

Cross-genomic analysis of the translational systems of various organisms.

We have characterized the genes encoding ribosomal proteins (r-proteins) as well as other translation-related factors of 15 eubacteria and four archaebacteria, and the genes for the mitochondrial r-proteins of Saccharomyces cerevisiae by using the complete genomic nucleotide sequence data of these organisms. In eubacteria, including two species of Mycoplasma, the operon structure of the r-protein genes is well conserved, while their relative orientation and chromosomal location are quite divergent. The operon structure of the r-protein genes in archaebacteria, on the other hand, is quite different from eubacteria and also among themselves. In addition, many archaebacterial r-proteins show similarity to rat cytoplasmic r-proteins. Nonetheless, characteristic features of several genes encoding proteins of functional importance are well conserved throughout the bacterial species including archaebacteria, as well as in S. cerevisiae. We searched for the genes encoding mitochondrial r-proteins in yeast by combining informatics and genetic experiments. Furthermore, we characterized some of the r-proteins genes by exchanging portions between Escherichia coli and S. cerevisiae and performed functional analysis of some of the genes from different evolutionary points of view. Our work may be extended towards phylogenetic analysis of organisms producing secondary metabolites of various sorts.

Bacteria↗

Phylogeny, processing and expression of the rat cathelicidin rCRAMP: a model for innate antimicrobial peptides.

A database search identified a rat cDNA clone which phylogenetic analysis revealed to encode a cathelicidin most similar to mouse cathelicidin CRAMP. The analysis also showed that the evolutionary pattern of the cathelicidin family is lineage specific. The rat cathelicidin is called rCRAMP. Its peptide was isolated from granulocytes, and determined to be 43 amino acids long by mass spectrometry and N-terminal sequencing. Synthetic rCRAMP had antimicrobial activity. The expression of rCRAMP was investigated by reverse-transcriptase polymerase chain reaction followed by Southern hybridization and by Western blot analysis. rCRAMP was identified in granulocytes, thymus, testis, lung, mouth mucosa, tongue, oesophagus, colon, caecum and small intestine, a distribution similar to cathelicidins of mouse and human. The rat is a small laboratory animal with additional disease models available compared to the mouse. Our results open up the possibility to use the rat as a model system to study responses connected to cathelicidin expression in health and disease.

Amino Acid Sequence↗

Towards a conceptual and operational union of bacterial systematics, ecology, and evolution.

To completely understand the ecology of a bacterial community, we need to identify its ecologically distinct populations (ecotypes). The greatest promise for enumerating a community's constituent ecotypes is held by molecular approaches that identify bacterial ecotypes as DNA sequence clusters. These approaches succeed when ecotypes correspond with sequence clusters, but some models of bacterial speciation predict a one-to-many and others a many-to-one relationship between ecotypes and sequence clusters. A further challenge is that sequence-based phylogenies often contain a hierarchy of clusters and subclusters within clusters, and there is no widely accepted theory to guide systematists and ecologists to the size of cluster most likely to correspond to ecotypes. While present systematics attempts to use universal thresholds of sequence divergence to help demarcate species, the recently developed 'community phylogeny' approach assumes no universal thresholds, but demarcates ecotypes based on the analysis of a lineage's evolutionary dynamics. Theory-based approaches like this one can give a conceptual framework as well as operational criteria for hypothesizing the identity and membership of ecotypes from sequence data; ecology-based approaches can then confirm that the putative ecotypes are actually ecologically distinct. Bacterial ecotypes that are demonstrated to have a history of coexistence as ecologically distinct lineages (based on sequence analysis) and as a prognosis of future coexistence (based on ecological differences), are the fundamental units of bacterial ecology and evolution, and should be recognized by bacterial systematics.

Bacteria↗

Bayesian coestimation of phylogeny and sequence alignment.

BACKGROUND: Two central problems in computational biology are the determination of the alignment and phylogeny of a set of biological sequences. The traditional approach to this problem is to first build a multiple alignment of these sequences, followed by a phylogenetic reconstruction step based on this multiple alignment. However, alignment and phylogenetic inference are fundamentally interdependent, and ignoring this fact leads to biased and overconfident estimations. Whether the main interest be in sequence alignment or phylogeny, a major goal of computational biology is the co-estimation of both. RESULTS: We developed a fully Bayesian Markov chain Monte Carlo method for coestimating phylogeny and sequence alignment, under the Thorne-Kishino-Felsenstein model of substitution and single nucleotide insertion-deletion (indel) events. In our earlier work, we introduced a novel and efficient algorithm, termed the "indel peeling algorithm", which includes indels as phylogenetically informative evolutionary events, and resembles Felsenstein's peeling algorithm for substitutions on a phylogenetic tree. For a fixed alignment, our extension analytically integrates out both substitution and indel events within a proper statistical model, without the need for data augmentation at internal tree nodes, allowing for efficient sampling of tree topologies and edge lengths. To additionally sample multiple alignments, we here introduce an efficient partial Metropolized independence sampler for alignments, and combine these two algorithms into a fully Bayesian co-estimation procedure for the alignment and phylogeny problem. Our approach results in estimates for the posterior distribution of evolutionary rate parameters, for the maximum a-posteriori (MAP) phylogenetic tree, and for the posterior decoding alignment. Estimates for the evolutionary tree and multiple alignment are augmented with confidence estimates for each node height and alignment column. Our results indicate that the patterns in reliability broadly correspond to structural features of the proteins, and thus provides biologically meaningful information which is not existent in the usual point-estimate of the alignment. Our methods can handle input data of moderate size (10-20 protein sequences, each 100-200 bp), which we analyzed overnight on a standard 2 GHz personal computer. CONCLUSION: Joint analysis of multiple sequence alignment, evolutionary trees and additional evolutionary parameters can be now done within a single coherent statistical framework.

Algorithms↗

Myosin superfamily evolutionary history.

The superfamily of myosin proteins found in eukaryotic cells is known to contain at least 18 different classes. Members are classified based on the phylogenetic analysis of the head domains located at the amino terminus of the polypeptide. While phylogenetic relationships provide insights into the functional relatedness of myosins within and between families, the evolutionary history of the myosin superfamily is not revealed by such studies. In order to establish the evolutionary history of the superfamily, we analyzed the representation of myosin gene families in a range of organisms covering the taxonomic spectrum. The amino acid sequences of 232 myosin heavy chains, as well as 65 organisms representing the protist, plant, and animal kingdoms, were included in this study. A phylogenetic tree of organisms was constructed based on several complementary taxonomic classification schemes. The results of the analysis support an evolutionary hypothesis in which myosins II and I evolved the earliest of all the myosin groups. Myosins V and XI evolved from a common myosin II-like ancestor, but the two families diverged to either the plant (XI) or animal (V) lineage. Class VII myosin appeared fourth among the families, and classes VI and IX appeared later during the early period of metazoan radiation. Myosins III, XV, and XVIII appeared after this group, and X appeared during the formative phases of vertebrate evolution. The remaining members of the myosin superfamily (IV, VI, XII, XIII, XIV, XVI, and XVII) are limited in distribution to one or more groups of organisms. The evolutionary data permits one to predict the likelihood that myosin genes absent from a given species are either missing (not found yet because of insufficient data) or lost due to a mutation that removed the gene from an organism's lineage. In conclusion, an analysis of the evolutionary history of the myosin superfamily suggests that early-appearing myosin families function as generalists, carrying out a number of functions in a variety of cell types, while more recently evolved myosin families function as specialists and are limited to a few organisms or a few cell types within organisms.

Biological Evolution↗

Developmental dynamics and contemporary evolutionary psychology: status quo or irreconcilable views? Reply to Bjorklund (2003), Krebs (2003), Buss and Reeve (2003), Crawford (2003), and Tooby et Al. (2003).

The authors address commentaries by D. F. Bjorklund (2003); D. M. Buss and H. K. Reeve (2003); C. B. Crawford (2003); D. L. Krebs (2003); and J. Tooby, L. Cosmides, and H. C. Barrett (2003) on their analysis of the underlying assumptions of contemporary evolutionary psychology (R. Lickliter & H. Honeycutt, 2003). The authors argue that evolutionary psychology currently offers no coherent framework for how to integrate genetic, environmental, and experiential factors into a theory of behavioral or cognitive phenotypes. The authors propose that this absence is due to a lack of developmental analysis in the major works of evolutionary psychology, resulting in an almost exclusive focus on adaptationist accounts of evolution by natural selection rather than a more broad-based focus on the process and products of evolution by epigenetic developmental dynamics.

Adaptation, Physiological↗

The file-drawer problem revisited: a general weighted method for calculating fail-safe numbers in meta-analysis.

Quantitative literature reviews such as meta-analysis are becoming common in evolutionary biology but may be strongly affected by publication biases. Using fail-safe numbers is a quick way to estimate whether publication bias is likely to be a problem for a specific study. However, previously suggested fail-safe calculations are unweighted and are not based on the framework in which most meta-analyses are performed. A general, weighted fail-safe calculation, grounded in the meta-analysis framework, applicable to both fixed- and random-effects models, is proposed. Recent meta-analyses published in Evolution are used for illustration.

Meta-Analysis as Topic↗

Synteny conservation between the Prunus genome and both the present and ancestral Arabidopsis genomes.

BACKGROUND: Due to the lack of availability of large genomic sequences for peach or other Prunus species, the degree of synteny conservation between the Prunus species and Arabidopsis has not been systematically assessed. Using the recently available peach EST sequences that are anchored to Prunus genetic maps and to peach physical map, we analyzed the extent of conserved synteny between the Prunus and the Arabidopsis genomes. The reconstructed pseudo-ancestral Arabidopsis genome, existed prior to the proposed recent polyploidy event, was also utilized in our analysis to further elucidate the evolutionary relationship. RESULTS: We analyzed the synteny conservation between the Prunus and the Arabidopsis genomes by comparing 475 peach ESTs that are anchored to Prunus genetic maps and their Arabidopsis homologs detected by sequence similarity. Microsyntenic regions were detected between all five Arabidopsis chromosomes and seven of the eight linkage groups of the Prunus reference map. An additional 1097 peach ESTs that are anchored to 431 BAC contigs of the peach physical map and their Arabidopsis homologs were also analyzed. Microsyntenic regions were detected in 77 BAC contigs. The syntenic regions from both data sets were short and contained only a couple of conserved gene pairs. The synteny between peach and Arabidopsis was fragmentary; all the Prunus linkage groups containing syntenic regions matched to more than two different Arabidopsis chromosomes, and most BAC contigs with multiple conserved syntenic regions corresponded to multiple Arabidopsis chromosomes. Using the same peach EST datasets and their Arabidopsis homologs, we also detected conserved syntenic regions in the pseudo-ancestral Arabidopsis genome. In many cases, the gene order and content of peach regions was more conserved in the ancestral genome than in the present Arabidopsis region. Statistical significance of each syntenic group was calculated using simulated Arabidopsis genome. CONCLUSION: We report here the result of the first extensive analysis of the conserved microsynteny using DNA sequences across the Prunus genome and their Arabidopsis homologs. Our study also illustrates that both the ancestral and present Arabidopsis genomes can provide a useful resource for marker saturation and candidate gene search, as well as elucidating evolutionary relationships between species.

Arabidopsis↗

The remarkable evolutionary history of the human amylase genes.

Analysis of the structures of the human amylase genes has demonstrated that this multigene family contains at least five tandem gene copies, closely related in sequence but with distinct tissue specific expression. The structures of the genes demonstrate that the human salivary amylase gene was derived from a preexisting pancreatic amylase gene. Insertion of a retrovirus upstream of the amylase gene is responsible for the alteration in tissue specificity. A parotid specific enhancer has been identified within the retrovirus by expression studies in transgenic mice. The independent origin of salivary amylase in rodents and primates suggests that there has been strong evolutionary selection for amylase in saliva. The amylase genes demonstrate a novel mechanism for evolution of new patterns of tissue specific gene expression.

Amylases↗

A molecular phylogeny of dinoflagellate protists (pyrrhophyta) inferred from the sequence of 24S rRNA divergent domains D1 and D8.

The sequence of two divergent domains (D1 and D8) from dinoflagellate 24S large subunit rRNA was determined by primer extension using total RNA as template. Nucleotide sequence alignments over 401 bases have been analyzed in order to investigate phylogenetic relationships within this highly divergent and taxonomically controversial group of protists of the division Pyrrhophyta. Data are provided confirming that dinoflagellates represent a monophyletic group. For 11 out of the 13 investigated laboratory grown species, an additional domain (D2) could not be completely sequenced by reverse transcription because of a hidden break located near its 3'-terminus. Two sets of sequence alignments were used to infer dinoflagellate phylogeny. The first [199 nucleotides (nt)] included conservative sequences flanking the D1 and D8 divergent domains. It was used to reconstruct a broad evolutionary tree for the dinoflagellates, which was rooted using Tetrahymena thermophila as the outgroup. To confirm the tree topology, and mainly the branchings leading to closely related species, a second alignment (401 nt) was considered, which included the D1 and D8 variable sequences in addition to the more conserved flanking regions. Species that showed sequence similarities with other species lower than 60% on average (Knuc values higher than 0.550) were removed from this analysis. A coherent and convincing evolutionary pattern was obtained for the dinoflagellates, also confirmed by the position of the hidden break within the D2 domain, which appears to be group specific. The reconstructed phylogeny indicates that the early emergence of Oxyrrhis marina preceded that of most Peridiniales, a large order of thecate species, whereas the unarmored Gymnodiniales appeared more recently, along with members of the Prorocentrales characterized by two thecal plates. In addition, the emergence of heterotrophic species preceded that of photosynthetic species. These results provide new perspectives on proposed evolutionary trees for the dinoflagellates based on morphology, biology, and fossil records.

Animals↗

Three functional luciferase domains in a single polypeptide chain.

We report a unique case of a gene containing three homologous and contiguous repeat sequences, each of which, after excision, cloning, and expression in Escherichia coli, is shown to code for a peptide catalyzing the same reaction as the native protein, Gonyaulax polyedra luciferase (Mr = 137). This enzyme, which catalyzes the light-emitting oxidation of a linear tetrapyrrole (dinoflagellate luciferin), exhibits no sequence similarities to other luciferases in databases. Sequence analysis also reveals an unusual evolutionary feature of this gene: synonymous substitutions are strongly constrained in the central regions of each of the repeated coding sequences.

Amino Acid Sequence↗

Structural and evolutionary relationships among chitinases of flowering plants.

The analysis of nuclear-encoded chitinase sequences from various angiosperms has allowed the categorization of the chitinases into discrete classes. Nucleotide sequences of their catalytic domains were compared in this study to investigate the evolutionary relationships between chitinase classes. The functionally distinct class III chitinases appear to be more closely related to fungal enzymes involved in morphogenesis than to other plant chitinases. The ordering of other plant chitinases into additional classes mainly relied on the presence of auxiliary domains-namely, a chitin-binding domain and a carboxy-terminal extension-flanking the main catalytic domain. The results of our phylogenetic analyses showed that classes I and IV form discrete and well-supported monophyletic groups derived from a common ancestral sequence that predates the divergence of dicots and monocots. In contrast, other sequences included in classes I* and II, lacking one or both types of auxiliary domains, were nested within class I sequences, indicating that they have a polyphyletic origin. According to phylogenetic analyses and the calculation of evolutionary rates, these chitinases probably arose from different class I lineages by relatively recent deletion events. The occurrence of such evolutionary trends in cultivated plants and their potential involvement in host-pathogen interactions are discussed.

Amino Acid Sequence↗

Prognostic significance of a predischarge exercise test in risk stratification after unstable angina pectoris.

The prognostic significance of exercise testing was compared with clinical and electrocardiographic (ECG) variables in a prospective study of 107 patients with unstable angina discharged from the hospital on medical therapy. During a follow-up period of 12.8 +/- 1.4 months, 10 patients (9%) had a nonfatal myocardial infarction (n = 8) or died (n = 2) and 22 (20%) were readmitted with recurrent unstable angina. The relation between 20 clinical, ECG and exercise test variables and the risk of adverse outcome (death, nonfatal myocardial infarction or recurrent unstable angina) was analyzed using both univariate and multivariate (logistic regression) analysis. Univariate predictors of adverse outcome included diabetes mellitus, evolutionary T wave changes, T wave changes on the preexercise ECG and low maximal rate-pressure product during exercise. Independent predictors of adverse outcome in multivariate analysis included diabetes mellitus, evolutionary T wave changes after admission, rest pain during hospitalization, ST depression during exercise and low maximal rate-pressure product. A predictive model constructed using the regression equation and all independent predictors stratified patients into high and low risk groups (41% and 5% risk of adverse outcome, respectively). The result of a predischarge exercise test adds independent prognostic information to clinical and ECG data in medically treated patients with unstable angina and could be used in combination with clinical and ECG data to identify patients at risk of adverse events.

Angina, Unstable↗