In vitro selection of hemin-binding catalytic RNA

Catalytic RNAs with peroxidase activity were obtained by the in vitro selection of RNA aptamer-binding hemin. One of the RNA aptamers selected showed binding affinity to hemin with a dissociation constant of 0.8 μM and exhibited high peroxidase activity by forming a complex with hemin. The catalytic efficiency of the RNA–hemin complex was 10-fold higher than that of hemin alone.     

Synthesis of pyrophosphates for in vitro selection of catalytic RNA molecules

Reported here are synthetic routes to pyrophosphates linking riboflavin with various nucleosides. The focus is on a flavin-uracil dinucleotide having a biotin tag on the uracil, a molecule that has potential value in the selection of RNA enzymes that catalyze the template-directed polymerization of RNA in the 3'-to-5' direction, which is the direction opposite that catalyzed by standard protein polymerases. Two detailed procedures are presented to prepare this new compound, as well as one procedure to prepare the new flavin-2,6-diaminopurine dinucleotide.     

RNA Amplification in Brain Tissues

Recent developments in gene array technologies, specifically cDNA microarray platforms, have made it easier to try to understand the constellation of gene alterations that occur within the CNS. Unlike an organ that is comprised of one principal cell type, the brain contains a multiplicity of both neuronal (e.g., pyramidal neurons, interneurons, and others) and noneuronal (e.g., astrocytes, microglia, oligodendrocytes, and others) populations of cells. An emerging goal of modern molecular neuroscience is to sample gene expression from similar cell types within a defined region without potential contamination by expression profiles of adjacent neuronal subtypes and noneuronal cells. At present, an optimal methodology to assess gene expression is to evaluate single cells, either identified physiologically in living preparations, or by immunocytochemical or histochemical procedures in fixed cells in vitro or in vivo. Unfortunately, the quantity of RNA harvested from a single cell is not sufficient for standard RNA extraction methods. Therefore, exponential polymerase-chain reaction (PCR) based analyses and linear RNA amplifications, including a newly developed terminal continuation (TC) RNA amplification methodology, have been used in combination with single cell microdissection procedures to enable the use of cDNA microarray analysis within individual populations of cells obtained from postmortem brain samples as well as the brains of animal models of neurodegeneration.     

Sexual selection,germline mutation rate and sperm competition

Background  

An important component of sexual selection arises because females obtain viability benefits for their offspring from their mate choice. Females choosing extra-pair fertilization generally favor males with exaggerated secondary sexual characters, and extra-pair paternity increases the variance in male reproductive success. Furthermore, females are assumed to benefit from 'good genes' from extra-pair sires. How additive genetic variance in such viability genes is maintained despite strong directional selection remains an evolutionary enigma. We propose that sexual selection is associated with elevated mutation rates, changing the balance between mutation and selection, thereby increasing variance in fitness and hence the benefits to be obtained from good genes sexual selection. Two hypotheses may account for such elevated mutation: (1) Increased sperm production associated with sperm competition may increase mutation rate. (2) Mutator alleles increase mutation rates that are revealed by the expression of condition-dependent secondary sexual characters used by choosy females during their mate choice. M Petrie has independently developed the idea that mutator alleles may account for the maintenance of genetic variation in viability despite strong directional selection.     

The selection mutation equation

Fisher's Fundamental Theorem of Natural Selection is extended to the selection mutation model with mutation rates _ij=_ii.e. depending only on the target gene, by constructing a simple Lyapunov function. For other mutation rates stable limit cycles are possible.     

Clone selection and the mutation rate

A statistical model for mutation and selection is formulated for organisms that reproduce by division. The mutation rate that optimizes the probability of clone survival is approximated using the theory of branching processes. However, it is shown by example that this optimizing mutation rate need not be the most advantageous mutation rate. The principle that selection favors those modifying features that optimize the probability of clone survival is thereby shown to be of limited applicability.     

Cumulant dynamics of a population under multiplicative selection, mutation, and drift

We revisit the classical population genetics model of a population evolving under multiplicative selection, mutation, and drift. The number of beneficial alleles in a multilocus system can be considered a trait under exponential selection. Equations of motion are derived for the cumulants of the trait distribution in the diffusion limit and under the assumption of linkage equilibrium. Because of the additive nature of cumulants, this reduces to the problem of determining equations of motion for the expected allele distribution cumulants at each locus. The cumulant equations form an infinite dimensional linear system and in an authored appendix Adam Prügel-Bennett provides a closed form expression for these equations. We derive approximate solutions which are shown to describe the dynamics well for a broad range of parameters. In particular, we introduce two approximate analytical solutions: (1) Perturbation theory is used to solve the dynamics for weak selection and arbitrary mutation rate. The resulting expansion for the system's eigenvalues reduces to the known diffusion theory results for the limiting cases with either mutation or selection absent. (2) For low mutation rates we observe a separation of time-scales between the slowest mode and the rest which allows us to develop an approximate analytical solution for the dominant slow mode. The solution is consistent with the perturbation theory result and provides a good approximation for much stronger selection intensities.     

Indirect selection of implicit mutation protocols

A hypothesis that mutability evolves to facilitate evolutionary adaptation is dismissed by many biologists. Their skepticism is based on a theoretical expectation that natural selection must minimize mutation rates. That view, in turn, is historically grounded in an intuitive presumption that "the vast majority of mutations are harmful." But such skepticism is surely misplaced. Several highly mutagenic genomic patterns, including simple sequence repeats, and transposable elements, are integrated into an unexpectedly large proportion of functional genetic loci. Because alleles arising within such patterns can retain an intrinsic propensity toward a particular style of mutation, natural selection that favors any such allele can indirectly favor the site's mutability as well. By exploiting patterns that have produced beneficial alleles in the past, indirect selection can encourage mutation within constraints that reduce the probability of deleterious effect, thereby shaping implicit "mutation protocols" that effectively promote evolvability.     

A genetic model with mutation and selection

Two deterministic models of a multiallele population in which mutation and selection both operate are considered, and formulae for the gene frequencies are obtained. Both models are of a diploid population in which selection is additive and mutation is general; generations are discrete and nonoverlapping. In the first model, the stationary solution of the discrete equations is found. In the second, the discrete time process is approximated by a continuous time one, and the resulting differential equations are solved. The transient case for two alleles is solved explicitly, and the results are graphed. An application is given to sequences of sites.     

Beneficial mutation selection balance and the effect of linkage on positive selection

When beneficial mutations are rare, they accumulate by a series of selective sweeps. But when they are common, many beneficial mutations will occur before any can fix, so there will be many different mutant lineages in the population concurrently. In an asexual population, these different mutant lineages interfere and not all can fix simultaneously. In addition, further beneficial mutations can accumulate in mutant lineages while these are still a minority of the population. In this article, we analyze the dynamics of such multiple mutations and the interplay between multiple mutations and interference between clones. These result in substantial variation in fitness accumulating within a single asexual population. The amount of variation is determined by a balance between selection, which destroys variation, and beneficial mutations, which create more. The behavior depends in a subtle way on the population parameters: the population size, the beneficial mutation rate, and the distribution of the fitness increments of the potential beneficial mutations. The mutation-selection balance leads to a continually evolving population with a steady-state fitness variation. This variation increases logarithmically with both population size and mutation rate and sets the rate at which the population accumulates beneficial mutations, which thus also grows only logarithmically with population size and mutation rate. These results imply that mutator phenotypes are less effective in larger asexual populations. They also have consequences for the advantages (or disadvantages) of sex via the Fisher-Muller effect; these are discussed briefly.     

Synthesis and properties of RNA with catalytic activity

Ribooligonucleotides, which form the self-cleavage domain of a satellite RNA of tobacco ringspot virus, were synthesized by the solid-phase phosphoramidite method using o-nitrobenzyl groups for 2'-hydroxyl protection. The oligomers were obtained in quantities sufficient for NMR measurement. Specific cleavage at an expected site was observed when the three RNA fragments were mixed in the presence of magnesium ions.     

In vitro selection, characterization, and application of deoxyribozymes that cleave RNA

Over the last decade, many catalytically active DNA molecules (deoxyribozymes; DNA enzymes) have been identified by in vitro selection from random-sequence DNA pools. This article focuses on deoxyribozymes that cleave RNA substrates. The first DNA enzyme was reported in 1994 and cleaves an RNA linkage. Since that time, many other RNA-cleaving deoxyribozymes have been identified. Most but not all of these deoxyribozymes require a divalent metal ion cofactor such as Mg²⁺ to catalyze attack by a specific RNA 2′-hydroxyl group on the adjacent phosphodiester linkage, forming a 2′,3′-cyclic phosphate and a 5′-hydroxyl group. Several deoxyribozymes that cleave RNA have utility for in vitro RNA biochemistry. Some DNA enzymes have been applied in vivo to degrade mRNAs, and others have been engineered into sensors. The practical impact of RNA-cleaving deoxyribozymes should continue to increase as additional applications are developed.     

Domain motions of Argonaute,the catalytic engine of RNA interference

Background  

The Argonaute protein is the core component of the RNA-induced silencing complex, playing the central role of cleaving the mRNA target. Visual inspection of static crystal structures already has enabled researchers to suggest conformational changes of Argonaute that might occur during RNA interference. We have taken the next step by performing an all-atom normal mode analysis of the Pyrococcus furiosus and Aquifex aeolicus Argonaute crystal structures, allowing us to quantitatively assess the feasibility of these conformational changes. To perform the analysis, we begin with the energy-minimized X-ray structures. Normal modes are then calculated using an all-atom molecular mechanics force field.     

The allele-frequency spectrum in a decoupled Moran model with mutation, drift, and directional selection, assuming small mutation rates

We analyze a decoupled Moran model with haploid population size N, a biallelic locus under mutation and drift with scaled forward and backward mutation rates θ₁=μ₁N and θ₀=μ₀N, and directional selection with scaled strength γ=sN. With small scaled mutation rates θ₀ and θ₁, which is appropriate for single nucleotide polymorphism data in highly recombining regions, we derive a simple approximate equilibrium distribution for polymorphic alleles with a constant of proportionality. We also put forth an even simpler model, where all mutations originate from monomorphic states. Using this model we derive the sojourn times, conditional on the ancestral and fixed allele, and under equilibrium the distributions of fixed and polymorphic alleles and fixation rates. Furthermore, we also derive the distribution of small samples in the diffusion limit and provide convenient recurrence relations for calculating this distribution. This enables us to give formulas analogous to the Ewens-Watterson estimator of θ for biased mutation rates and selection. We apply this theory to a polymorphism dataset of fourfold degenerate sites in Drosophila melanogaster.     

In vitro selection of RNase P RNA reveals optimized catalytic activity in a highly conserved structural domain.

In vitro selection techniques are useful means of dissecting the functions of both natural and artificial ribozymes. Using a self-cleaving conjugate containing the Escherichia coli ribonuclease P RNA and its substrate, pre-tRNA (Frank DN, Harris ME, Pace NR, 1994, Biochemistry 33:10800-10808), we have devised a method to select for catalytically active variants of the RNase P ribozyme. A selection experiment was performed to probe the structural and sequence constraints that operate on a highly conserved region of RNase P: the J3/4-P4-J2/4 region, which lies within the core of RNase P and is thought to bind catalytically essential magnesium ions (Harris ME et al., 1994, EMBO J 13:3953-3963; Hardt WD et al., 1995, EMBO J 14:2935-2944; Harris ME, Pace NR, 1995, RNA 1:210-218). We sought to determine which, if any, of the nearly invariant nucleotides within J3/4-P4-J2/4 are required for ribozyme-mediated catalysis. Twenty-two residues in the J3/4-P4-J2/4 component of RNase P RNA were randomized and, surprisingly, after only 10 generations, each of the randomized positions returned to the wild-type sequence. This indicates that every position in J3/4-P4-J2/4 contributes to optimal catalytic activity. These results contrast sharply with selections involving other large ribozymes, which evolve improved catalytic function readily in vitro (Chapman KB, Szostak JW, 1994, Curr Opin Struct Biol 4:618-622; Joyce GF, 1994, Curr Opin Struct Biol 4:331-336; Kumar PKR, Ellington AE, 1995, FASEB J 9:1183-1195). The phylogenetic conservation of J3/4-P4-J2/4, coupled with the results reported here, suggests that the contribution of this structure to RNA-mediated catalysis was optimized very early in evolution, before the last common ancestor of all life.