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Angiosperm divergence times: the effect of genes, codon positions, and time constraints.

An understanding of the evolution of modern terrestrial ecosystems requires an understanding of the dynamics associated with angiosperm evolution, including the timing of their origin and diversification into their extraordinary present-day diversity. Molecular estimates of angiosperm age have varied widely, and many substantially predate the Early Cretaceous fossil appearance of the group. In this study, the effect of different genes, codon positions, and chronological constraints on node ages are examined on divergence time estimates across seed plants, with a special focus on angiosperms. Penalized likelihood was used to estimate divergence times on a phylogenetic hypothesis for seed plants derived from Bayesian analysis, with branch lengths estimated with maximum likelihood. The plastid genes atpB, psaA, psbB, and rbcL were used individually and in combination, using first and second, third, and the three codon positions, including and excluding age constraints on 20 nodes derived from a critical examination of the land-plant fossil record. The optimal level of rate smoothing according to each unconstrained and constrained dataset was obtained with penalized likelihood. Tests for a molecular clock revealed significantly unclocklike rates in all datasets. Addition of fossil constraints resulted in even greater departures from constancy. Consistently with significant deviations from a clock, estimated optimal smoothing values were low, but a strict correlation between rate heterogeneity and optimal smoothing value was not found. Age estimates for nodes across the phylogeny varied, sometimes substantially, with gene and codon position. Nevertheless, estimates based on the four concatenated genes are very similar to the mean of the four individual gene estimates. For any given node, unconstrained age estimates are more variable than constrained estimates and are frequently younger than well-substantiated fossil members of the clade. Constrained estimates of ages of clades are older than unconstrained estimates and oldest fossil representatives, sometimes substantially so. Angiosperm age estimates decreased as rate smoothing increased. Whereas the range of unconstrained angiosperm age estimates spans the fossil age of the clade, the range of constrained estimates is narrower (and older) than the earliest angiosperm fossils. Results unambiguously indicate the relevance of constraints in reducing the variability of ages derived from different partitions of the data and diminishing the effect of the smoothing parameter. Constrained optimizations of divergence times and substitution rates across the phylogeny suggest appreciably different evolutionary dynamics for angiosperms and for gymnosperms. Whereas the gymnosperm crown group originated shortly after the origin of seed plants, a long time elapsed before the origin of crown group angiosperms. Although absolute age estimates of angiosperms and angiosperm clades are older than their earliest fossils, the estimated pace of phylogenetic diversification largely agrees with the rapid appearance of angiosperm lineages in stratigraphic sequences.

Base Sequence↗

The rise, fall and renaissance of microsatellites in eukaryotic genomes.

Microsatellites are among the most versatile of genetic markers, being used in an impressive number of biological applications. However, the evolutionary dynamics of these markers remain a source of contention. Almost 20 years after the discovery of these ubiquitous simple sequences, new genomic data are clarifying our understanding of the structure, distribution and variability of microsatellites in genomes, especially for the eukaryotes. While these new data provide a great deal of descriptive information about the nature and abundance of microsatellite sequences within eukaryotic genomes, there have been few attempts to synthesise this information to develop a global concept of evolution. This review provides an up-to-date account of the mutational processes, biases and constraints believed to be involved in the evolution of microsatellites, particularly with respect to the creation and degeneration of microsatellites, which we assert may be broadly viewed as a life cycle. In addition, we identify areas of contention that require further research and propose some possible directions for future investigation.

Animals↗

Pangenome of Streptomyces sampsonii and Relatives Highlights Horizontal Gene Transfer and Secondary Metabolism in Environmental Adaptation and Ecological Significance.

Streptomyces sampsonii is a promising biocontrol bacterium, but its genomic basis of adaptation and secondary metabolism remains unclear. Here, we present a chromosome-level genome assembly of S. sampsonii (7.20 Mb, 6015 protein-coding genes) and perform comparative analyses with 95 related Streptomyces species. Phylogenomic and synteny analyses revealed its closest relationship with S. albidoflavus, while extensive structural variations distinguished more distant lineages. Pangenome analysis uncovered 84,178 gene clusters, with pan_shell and pan_cloud genes predominantly enriched in xenobiotic biodegradation, metabolism, and antibiotic biosynthesis, highlighting their roles in ecological adaptation and biocontrol potential. Biosynthetic gene cluster (BGC) analysis identified numerous NRPS, PKS, and terpene pathways, many of which belong to pan_shell and pan_cloud regions, suggesting dynamic evolutionary origins. We further detected 66,260 horizontally transferred (HGT) genes, including 438 in BGCs, underscoring HGT as a major driver of metabolic innovation. Together, these findings provide novel insights into the genomic diversity, adaptive capacity, and secondary metabolic potential of S. sampsonii and its close relatives.

BGCs↗

Funnel-like organization in sequence space determines the distributions of protein stability and folding rate preferred by evolution.

To understand the physical and evolutionary determinants of protein folding, we map out the complete organization of thermodynamic and kinetic properties for protein sequences that share the same fold. The exhaustive nature of our study necessitates using simplified models of protein folding. We obtain a stability map and a folding rate map in sequence space. Comparison of the two maps reveals a common organizational principle: optimality decreases more or less uniformly with distance from the optimal sequence in the sequence space. This gives a funnel-shaped optimality surface. Evolutionary dynamics of a sequence population on these two maps reveal how the simple organization of sequence space affects the distributions of stability and folding rate preferred by evolution.

Biological Evolution↗

A model for the interaction of learning and evolution.

We present a simple model in order to discuss the interaction of the genetic and behavioral systems throughout evolution. This considers a set of adaptive perceptrons in which some of their synapses can be updated through a learning process. This framework provides an extension of the well-known Hinton and Nowlan model by blending together some learning capability and other (rigid) genetic effects that contribute to the fitness. We find a halting effect in the evolutionary dynamics, in which the transcription of environmental data into genetic information is hindered by learning, instead of stimulated as is usually understood by the so-called Baldwin effect. The present results are discussed and compared with those reported in the literature. An interpretation is provided of the halting effect.

Algorithms↗

Competitive exclusion and coexistence of universal grammars.

Universal grammar (UG) is a list of innate constraints that specify the set of grammars that can be learned by the child during primary language acquisition. UG of the human brain has been shaped by evolution. Evolution requires variation. Hence, we have to postulate and study variation of UG. We investigate evolutionary dynamics and language acquisition in the context of multiple UGs. We provide examples for competitive exclusion and stable coexistence of different UGs. More specific UGs admit fewer candidate grammars, and less specific UGs admit more candidate grammars. We will analyze conditions for more specific UGs to outcompete less specific UGs and vice versa. An interesting finding is that less specific UGs can resist invasion by more specific UGs if learning is more accurate. In other words, accurate learning stabilizes UGs that admit large numbers of candidate grammars.

Biological Evolution↗

Modelling evolving populations.

A formalism is presented for modelling the evolutionary dynamics of a population of gene sequences. The formalism was originally developed for describing genetic algorithms. In this paper the formalism is elaborated by considering the evolution of an ensemble of populations. This allows the evolution to be modelled more accurately. To illustrate the formalism the problem of a population of gene sequences evolving in a multiplicative fitness landspace is considered. A comparison with simulations is made and shows very good agreement. More complicated problems have already been investigated including sexual recombination and evolution in a multi-valleyed fitness landscape. These results will be briefly reviewed.

Animals↗

Solving the complementarity dilemma: evolving strategies for simultaneous hermaphroditism.

We introduce a complementarity dilemma, a two-player, binary response game in which the playoffs are highest when the two players respond differently. Using the classifier EvA, we determine the evolutionary dynamics and structure of strategies that evolve to play an iterated version of this game, and we relate the results to the evolution of major types of sexual reproduction, particularly simultaneous hermaphroditism. We find that complementarity strategies consistently evolve under a broad range of conditions, but that those most consistent with the simultaneous hermaphroditism can predominate only when a substantial cost of repeatedly adopting the female role is imposed. The cost is analogous to the fecundity reduction to be expected when a single partner must repeatedly produce the eggs in sexual reproduction.

Animals↗

Molecular evolution of catalysis.

In this paper, we consider the evolutionary dynamics of catalytically active species with a distinct genotype-phenotype relationship. Folding landscapes of RNA molecules serve as a paradigm for this relationship with essential neutral properties. The landscape itself is partitioned by phenotypes (realized as RNA secondary structures). To each genotype (represented as a sequence) a structure is assigned in a unique way. The set of all sequences which map into a particular structure is modeled as a random graph in sequence space (the so-called neutral network). A catalytic network is realized as a random digraph with maximal out-degree two and secondary structures as vertex sets. A population of catalytic RNA molecules shows significantly different behavior compared to a deterministic description: hypercycles are able to co-exist and out-compete a parasite with superior catalytic support. A "switching" between different dynamic organizations of the network can be observed, dynamical stability of hypercyclic organizations against errors and the existence of an error-threshold of catalysis can be reported.

Animals↗

Pair approximation for lattice models with multiple interaction scales.

Pair approximation has frequently proved effective for deriving qualitative information about lattice-based stochastic spatial models for population, epidemic and evolutionary dynamics. Pair approximation is a moment closure method in which the mean-field description is supplemented by approximate equations for the frequencies of neighbor-site pairs of each possible type. A limitation of pair approximation relative to moment closure for continuous space models is that all modes of interaction between individuals (e.g., dispersal of offspring, competition, or disease transmission) are assumed to operate over a single spatial scale determined by the size of the interaction neighborhood. In this paper I present a multiscale pair approximation which allows different sized neighborhoods for each type of interaction. To illustrate and test the approximation I consider a spatial single-species logistic model in which offspring are dispersed across a birth neighborhood and established individuals have a death rate depending on the population density in a competition neighborhood, with one of these neighborhoods nested inside the other. Analysis of the steady-state equations yields several qualitative predictions that are confirmed by simulations of the model, and numerical solutions of the dynamic equations provide a close approximation to the transient behavior of the stochastic model on a large lattice. The multiscale pair approximation thus provides a useful intermediate between the standard pair approximation for a single interaction neighborhood, and a complete set of moment equations for more spatially detailed models.

Animals↗

Rhodinocichla rosea is an emberizid (Aves; Passeriformes) based on mitochondrial DNA analyses.

The systematic position of the avian species Rhodinocichla rosea is unclear. Recent opinions are that it is either a mockingbird (family Mimidae) or a tanager (Thraupinae; Emberizidae). In either case, it would be an atypical member of the family. We sequenced approximately 600 bases of the mitochondrial cytochrome oxidase I (COI) gene of Rhodinocichla, several mimids, tanagers, and other passerines. We used maximum likelihood (ML), distance and parsimony approaches to analyze the sequences and concluded that Rhodinocichla belongs to the family Emberizidae. Phenotypic characteristics that suggested its relationship with mimids are the product of convergent evolution. The precise relationships of Rhodinocichla within the Emberizidae could not be resolved. Short internal branches in ML and distance trees suggested, as did earlier genetic studies, that the radiation of that family was explosive. Apparently, the extent of the tanagers as a higher taxon needs to be clarified. Our analysis of the evolutionary dynamics of avian COI suggested that its usefulness for phylogenetic studies is limited because silent positions saturate rapidly and replacement substitutions are rare. Thus, our data indicate that COI nucleotide data will be most useful in intraspecific investigations, while other data suggested its usefulness at the interordinal level.

Amino Acid Sequence↗

Molecular phylogenetics at the Felsenstein zone: approaching the Strepsiptera problem using 5.8S and 28S rDNA sequences.

Recent efforts to reconstruct the phylogenetic position of the insect order Strepsiptera have elicited a major controversy in molecular phylogenetics. We sequenced the 5.8S rDNA and major parts of the 28S rDNA 5' region of the strepsipteran species Stylops melittae. Their evolutionary dynamics were analyzed together with previously published insect rDNA sequences to identify tree estimation bias risks and to explore additional sources of phylogenetic information. Several major secondary structure changes were found as being autapomorphic for the Diptera, the Strepsiptera, or the Archaeognatha. Besides elevated substitution rates a significant AT bias was present in dipteran and strepsipteran 28S rDNA which, however, was restricted to stem sites in the Diptera while also affecting single-stranded sites in the Strepsiptera. When dipteran taxa were excluded from tree estimation all methods consistently supported the placement of Strepsiptera to within the Holometabola. When dipteran taxa were included maximum likelihood continued to favor a sister-group relationship of Strepsiptera with Mecoptera while remaining methods strongly supported a sister-group relationship with Diptera. Parametric bootstrap analysis revealed maximum likelihood as a consistent estimator if rate heterogeneity across sites was taken into account. Though the position of Strepsiptera within Holometabola remains elusive, we conclude that the evolution of dipteran and strepsipteran rDNA involved similar yet independent changes of substitution parameters.

Animals↗

Phylogenetic utility of the glycerol-3-phosphate acyltransferase gene: evolution and implications in Paeonia (Paeoniaceae).

The nuclear-encoded chloroplast-expressed glycerol-3-phosphate acyltransferase (GPAT) gene has been found to be single-copy in a number of angiosperm families. In this study we investigated the phylogenetic utility of the GPAT gene at the interspecific level using the genus Paeonia (Paeoniaceae) as an example. An approximately 2.3- to 2.6-kb fragment of the GPAT gene, containing a large intron of more than 2 kb, was amplified, cloned, and sequenced from 19 accessions representing 13 Paeonia species. The GPAT gene phylogeny inferred by parsimony analysis supported interspecific relationships that were previously unresolved, suggesting that large introns of low-copy nuclear genes are particularly informative in the resolution of close relationships at low taxonomic levels. Whereas the GPAT phylogeny is largely congruent with the previous phylogenetic hypothesis of Paeonia, it shows a significant discordance involving the paraphyly of section Paeonia. Given evidence of an ancient duplication and the subsequent silencing of one GPAT locus in P. anomala, this discordance is most likely the result of paralogy. Two distinct genomic clones containing partial GPAT genes were isolated from P. anomala. The GPAT sequence from one clone corresponded to the functional copy of the gene, and the second genomic clone was determined to contain a GPAT pseudogene. The insertion of a retrotransposon in an intron of this pseudogene may have been responsible for the silencing of this GPAT locus in P. anomala. This study suggests that, although it is unlikely that universal nuclear gene markers free from paralogy are usually available, low-copy nuclear genes can be very useful in plant phylogenetic reconstruction, especially at low taxonomic levels, as long as the evolutionary dynamics of the genes are carefully examined.

DNA, Plant↗

The effect of selective sweeps on the variance of the allele distribution of a linked multiallele locus: hitchhiking of microsatellites.

Microsatellite variation and the mechanisms which are responsible for this variation have received much attention in the last few years. Most theoretical studies of microsatellite allele distributions, however, did not incorporate the evolutionary dynamics of linked sites. The dynamics is usually modeled by invoking a special mutation mechanism such as stepwise mutation, which leads to a stepwise increase or decrease of the number of motif repeats on the occasion of mutation. It is shown here that selection at a locus, which itself is not subject to mutation, but which is adjacent to a microsatellite locus has an influence on statistics of the microsatellite allele distribution, provided that mutation rates are low to intermediate, when compared to 1/t1, the inverse of the time to fixation of a linked favorable substitution. If mutation rates are high, as for example in humans, a selective effect upon the microsatellite locus, such as hitchhiking, will quickly be obscured by mutations. In particular, in the latter case, the model shows that no correlation is to be expected between recombination rates and variability of microsatellites--such as had been predicted and experimentally demonstrated for nucleotide variability and recombination rates in Drosophila. The present model is a generalization of the two locus two allele hitchhiking model which had been studied by Stephan and co-workers.

Alleles↗

Parvovirus variation for disease: a difference with RNA viruses?

The Parvoviridae, a family of viruses with single-stranded DNA genomes widely spread from invertebrates to mammal and human hosts, display a remarkable evolutionary capacity uncommon in DNA genomes. Parvovirus populations show high genetic heterogeneity and large population sizes resembling the quasispecies found in RNA viruses. These viruses multiply in proliferating cells, causing acute, persistent or latent infections relying in the immunocompetence and developmental stage of the hosts. Some parvovirus populations in natural settings, such as carnivore autonomous parvoviruses or primate adeno associated virus, show a high degree of genetic heterogeneity. However, other parvoviruses such as the pathogenic B19 human erythrovirus or the porcine parvovirus, show little genetic variation, indicating different virus-host relationships. The Parvoviridae evolutionary potential in mammal infections has been modeled in the experimental system formed by the immunodeficient scid mouse infected by the minute virus of mice (MVM) under distinct immune and adaptive pressures. The sequence of viral genomes (close to 10(5) nucleotides) in emerging MVM pathogenic populations present in the organs of 26 mice showed consensus sequences not representing the complex distribution of viral clones and a high genetic heterogeneity (average mutation frequency 8.3 x 10(-4) substitutions/nt accumulated over 2-3 months). Specific amino acid changes, selected at a rate up to 1% in the capsid and in the NS2 nonstructural protein, endowed these viruses with new tropism and increased fitness. Further molecular analysis supported the notion that, in addition to immune pressures, the affinity of molecular interactions with cellular targets, as the Crml nuclear export receptor or the primary capsid receptor, as well as the adaptation to tissues enriched in proliferating cells, are major selective factors in the rapid parvovirus evolutionary dynamics.

Animals↗

A unified approach to study hypervariable polymorphisms: statistical considerations of determining relatedness and population distances.

Relatedness between individuals as well as evolutionary relationships between populations can be studied by comparing genotypic similarities between individuals. When hypervariable loci are used to describe genotypes, it is shown that both of these problems can be approached with a unified theory based on allele sharing between individuals. The distributions of the number of shared alleles between individuals indicate their kin relationships. Extending this, we obtain statistics for genetic distances between populations based on average number of alleles shared between individuals within and between two different populations. Traditional statistical inferential procedure can be used to establish specific kinship relationships between individuals. We derive estimates of the number of hypervariable loci needed for a specified reliability of such an inference. Evolutionary dynamics of genetic distance statistics based on allele sharing is also studied. It shows that such measures of genetic distances remain linear with the time of divergence for a period comparable to that of the gene frequency-based measures of genetic distances. Statistical properties of measures based on allele sharing establish that for using such summary statistics it is not necessary to know the full characteristics of all loci used. It is enough to know the degree of heterozygosity per locus and the number of loci. Therefore, in principle, this approach can also be used for DNA fingerprinting data in the studies of relatedness between individuals as well as between populations. The possible compromising features of multilocus DNA fingerprinting data are also discussed.

Alleles↗

Amplification of the ancient murine Lx family of long interspersed repeated DNA occurred during the murine radiation.

We identified and characterized the relics of an ancient rodent L1 family, referred to as Lx, which was extensively amplified at the time of the murine radiation about 12 million years ago, and which we showed was ancestral to the modern L1 families in rat and mouse. Here we have extended our analysis of the Lx amplification by examining more murine and nonmurine species for Lx sequences using both blot hybridization and the polymerase chain reaction for a total of 36 species. In addition we have determined the relative copy number and sequence divergence, or age, of Lx elements in representative murine genera. Our results show that while Lx sequences are confined to murine genera, the extent of the amplification was different in the different murine lineages, indicating that the amplification of Lx did not precede, but was coincident with, the murine radiation. The implications of our findings for the evolutionary dynamics of L1 families and the utility of ancestral amplification events for systematics are discussed.

Animals↗

Pattern generation in molecular evolution: exploitation of the variation in RNA landscapes.

Evolution of RNA secondary structure is studied using simulation techniques and statistical analysis of fitness landscapes. The transition from RNA sequence to RNA secondary structure leads to fitness landscapes that have local variations in their "ruggedness." Evolution exploits these variations. In stable environments it moves the quasispecies toward relatively "flat" peaks, where not only the master sequence but also its mutants have a high fitness. In a rapidly changing environment, the situation is reversed; evolution moves the quasispecies to a region where the correlation between secondary structures of "neighboring" RNA sequences is relatively low. In selection for simple secondary structures the movement toward flat peaks leads to pattern generation in the RNA sequences. Patterns are generated at the level of polynucleotide frequencies and the distribution of purines and pyrimidines. The patterns increase the modularity of the sequence. They thereby prevent the formation of alternative secondary structures after mutations. The movement of the quasispecies toward relatively rugged parts of the landscape results in pattern generation at the level of the RNA secondary structure. The base-pairing frequency of the sequences increases. The patterns that are generated in the RNA sequences and the RNA secondary structures are not directly selected for and can be regarded as a side effect of the evolutionary dynamics of the system.

Animals↗