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Although the evolution of recombination is still a major problem in evolutionary genetics, recent theoretical studies have shown that recombination can evolve by breaking down interference ('Hill-Robertson effects') among multiple loci. This leads to selection on a recombination modifier in a population subject to recurrent deleterious mutation. Here, we use computer simulations to investigate the evolution of a recombination modifier under three different scenarios of recurrent mutation in a finite population: (1) mutations are deleterious only, (2) mutations are advantageous only, and (3) there is a mixture of deleterious and advantageous mutations. We also investigate how linkage disequilibrium, the strength of selection acting on a modifier, and effective population size change under the different scenarios. We observe that adding even a small number of advantageous mutations increases the fixation rate of modifiers that increase recombination, especially if the effects of deleterious mutations are weak. However, the strength of selection on a modifier is less than the summed strengths had there been deleterious mutations only and advantageous mutations only.

Acute lung injury involving extremely immature lungs often heals without excessive fibrosis unlike later in gestation and in adults. Several factors may be involved, but fibroblast contraction of collagen has been linked to the level of wound fibrosis. To assess whether human lung fibroblasts of fetal versus adult origin differ in ability to contract collagen and define the molecular underpinnings, we performed three-dimensional collagen contraction assay, analyzed their differential mRNA profile, specifically for transforming growth factor-[beta] (TGF-[beta]) signaling pathway and extracellular matrix components, studied the cell response to TGF-[beta] in culture, and used two-dimensional gel electrophoresis followed by mass spectrometry to identify differences in their overall proteomes. Human lung fetal fibroblasts contracted the collagen matrix less than the adults. Smooth muscle actin expression did not differ. TGF-[beta] stimulation resulted in greater Smad3 phosphorylation in fetal compared with adults, mRNA and proteomic profiling reveal a number of TGF-[beta] pathways, ECM components, and cytoskeletal regulatory molecules are differentially expressed between the cell types. Of note is TGF-[beta] receptor interacting protein 1 (TRIP-l), which we show inhibits fibroblast collagen contraction and is higher in fetal than adult fibroblasts. We conclude that human lung fetal fibroblasts are less able to contract collagen than adult lung fibroblasts. The diminished ability is not due to impediment of Smad3 activation but rather, at least in part, due to their higher level of TRIP- 1 expression. TRIP-1 is a novel modulator of fibroblast collagen contraction. lung fibrosis; lung injury; lung repair; contractibility; proteomics; TGF-[beta] receptor interacting protein 1

Pre-rock pop was a background hum of sound before the trade papers concocted the term Easy Listening. --Arnold Shaw As an object of historical elision and nomenclatural confusion, 'easy listening' [...]

Over the past several decades, researchers have taken an interest in theatre as a unique method of analysing data and translating findings. Because of its ability to communicate research findings in an emotive and embodied manner, theatre holds particular potential for health research, which often engages complex questions of the human condition. In order to evaluate the research potential of theatre, this article critically examines examples of evaluated health research studies that have used theatre for the purposes of data analysis or translation. We examine these studies from two perspectives. First, the literature is divided and categorized into four theatre genres: (1) non-theatrical performances; (2) ethnodramas, which can be interactive or non-interactive; (3) theatrical research-based performances; and (4) fictional theatrical performances. This categorization highlights the importance of these genres of theatre and provides an analysis of the benefits and disadvantages of each, thus providing insight into how theatre may be most effectively utilized in health research. Second, we explore the efficacy of using theatre for the purposes of data analysis and knowledge transfer, and critically examine potential approaches to the evaluation of such endeavours. Keywords: Theatre; Health research; Knowledge transfer: Performance genres; Evaluation

The distribution of fitness effects of new mutations (DFE) is important for addressing several questions in genetics, including the nature of quantitative variation and the evolutionary fate of small populations. Properties of the DFE can be inferred by comparing the distributions of the frequencies of segregating nucleotide polymorphisms at selected and neutral sites in a population sample, but demographic changes alter the spectrum of allele frequencies at both neutral and selected sites, so can bias estimates of the DFE if not accounted for. We have developed a maximum-likelihood approach, based on the expected allele-frequency distribution generated by transition matrix methods, to estimate parameters of the DFE while simultaneously estimating parameters of a demographic model that allows a population size change at some time in the past. We tested the method using simulations and found that it accurately recovers simulated parameter values, even if the simulated demography differs substantially from that assumed in our analysis. We use our method to estimate parameters of the DFE for amino acid-changing mutations in humans and Drosophila melanogaster. For a model of unconditionally deleterious mutations, with effects sampled from a gamma distribution, the mean estimate for the distribution shape parameter is ~0.2 for human populations, which implies that the DFE is strongly leptokurtic. For Drosophila populations, we estimate that the shape parameter is ~0.35. Differences in the shape of the distribution and the mean selection coefficient between humans and Drosophila result in significantly more strongly deleterious mutations in Drosophila than in humans, and, conversely, nearly neutral mutations are significantly less frequent.

Author(s): Drosophila 12 Genomes Consortium; Project Leaders; Andrew G. Clark (corresponding author) [1]; Michael B. Eisen (corresponding author) [2, 3]; Douglas R. Smith (corresponding author) [4]; Casey M. Bergman (corresponding [...]

The prevailing method of analyzing tandem-MS data for protein identification involves the comparison of peptide molecular weight and fragmentation data to theoretically predicted values, based on known protein sequences in databases. This is generally effective since proteins from most species under study are in the database or have sufficient homology to allow significant matching. We have encountered difficulties identifying proteins from fungal species Alternaria alternata due to significant interspecies protein sequence differences (divergence) and its absence from the database. This common household mold causes asthma and allergy problems, but the genome has not been sequenced. De novo sequencing and error-tolerant methods can facilitate protein identifications in divergent, unsequenced species. But these standard methods can be laborious and only allow single amino acid substitution, respectively. We have developed an alternative approach focusing on database engineering, predicting biologically rational polymorphism using statistically weighted amino acid substitution information held in BLOSUM62. Like other second pass methods, it is based on the initially identified protein. However, this approach allows more control over sequences to be considered, including multiple changes per peptide. The results show considerable improvement for routine protein identification and the potential for rescuing otherwise unconvincing identifications in unusually divergent species.

Author(s): Cathy Haag-Liautard [1, 2]; Mark Dorris [1, 2]; Xulio Maside [1, 2]; Steven Macaskill [1, 2]; Daniel L. Halligan [1]; Brian Charlesworth [1]; Peter D. Keightley (corresponding author) [1] [...]

Author(s): Peter D. Keightley (corresponding author) [1]; Sarah P. Otto [2] Sex and recombination are widespread, but explaining these phenomena has been one of the most difficult problems in evolutionary [...]

Social cognition tasks were administered to younger and older adults to investigate age-related differences in social and emotional processing. Findings suggest that age differences in social cognition are limited to the processing of facial emotion, however, with age there appears to be increasing reliance on a common resource to perform social tasks, but one that is not shared with other cognitive domains.

Identifying genes responsible for quantitative variation remains a major challenge. We previously identified a quantitative trait locus (QTL) affecting body size that segregated between two inbred strains of mice. By fine mapping, we have refined the location of this QTL to a genomic region containing only four protein-coding genes. One of these genes, PAPPA2, is a strong candidate because it codes for an enzyme that cleaves insulin-like growth-factor-binding protein 5 (IGFBP-5), an important stimulator of bone formation. Among littermates that segregate only for the four-gene region, we show that the QTL has a significant effect on the circulating levels of IGFBP-5 and IGFBP-3 (the latter subject to limited degradation by PAPPA2), but not on levels of IGFBP-2 and IGFBP-4, which are not cleaved by PAPPA2. There are 14 nonsynonymous SNPs among QTL alleles, which may affect the activity of the translated protein. The refinement of the target region to four genes and the finding that the QTL affects IGFBP-5 levels suggest that PAPPA2 may be involved with normal postnatal growth. Our mapping results also illustrate the potentially fractal nature of QTL: as we mapped our QTL with increasing resolution, what appeared to be a single QTL resolved into three closely linked QTL (previous work), and then one of these was further dissected into two in this study.

We have found a negative correlation between evolutionary rate at the protein level (as measured by [d.sub.N]) and intron size in Drosophila. Although such a relation is expected if introns reduce Hill-Robertson interference within genes, it seems more likely to be explained by the higher abundance of cis-regulatory elements in introns (especially first introns) in genes under strong selective constraints.

Selection against deleterious mutations imposes a mutation load on populations because individuals die or fail to reproduce. In vertebrates, estimates of genomic rates of deleterious mutations in protein-coding genes imply the existence of a substantial mutation load, but many functionally important regions of the genome are thought to reside in noncoding DNA, and the contribution of noncoding DNA to the mutation load has been unresolved. Here, we infer the frequency of deleterious mutations in noncoding DNA of rodents by comparing rates of substitution at noncoding nucleotides with rates of substitution at the fastest evolving intronic sites of adjacent genes sampled from the whole genome sequences of mouse and rat. We show that the major elements of selectively constrained noncoding DNA are within 2,500 bp upstream and downstream of coding sequences and in first introns. Our estimate of the genomic deleterious point mutation rate for noncoding DNA (0.22 per diploid per generation) is similar to that for coding DNA. Mammalian populations therefore experience a substantial genetic load associated with selection against deleterious mutations in noncoding DNA. Deleterious mutations in noncoding DNA have predominantly quantitative effects and could be an important source of the burden of complex genetic disease variation in human populations. selective constraints | intron | intergenic DNA

We estimated the average dominance coefficient of mildly deleterious mutations (h, the proportion by which mutations in the heterozygous state reduce fitness components relative to those in the homozygous state) in the nematode Caenorhabditis elegans. From 56 worm lines that carry mutations induced by the point mutagen ethyl methanesulfonate (EMS), we selected 19 lines that are relatively high in fitness and estimated the viabilities, productivities, and relative fitnesses of heterozygotes and homozygotes compared to the ancestral wild type. There was very little effect of homozygous or heterozygous mutations on egg-to-adult viability. For productivity and relative fitness, we found that the average dominance coefficient, h, was ~0.1, suggesting that mildly deleterious mutations are on average partially recessive. These estimates were not significantly different from zero (complete recessivity) but were significantly different from 0.5 (additivity). In addition, there was a significant amount of variation in h among lines, and analysis of average dominance coefficients of individual lines suggested that several lines showed overdominance for fitness. Further investigation of two of these lines partially confirmed this finding.

The native reference peptide (NRP) method has been adapted to the measure of the degree of protein nitration at a specific tyrosine residue. In these experiments, human serum albumin was modified in a myeloperoxidase-mediated reaction in the presence of nitrite, with nitration detected predominantly at one site, [Y.sup.162]. The time-dependent increase in nitration at this site was measured based on the increasing abundance of the peptide [sup.162][Y.sup.n]LYEIA[R.sup.168] and the corresponding decrease in the [sup.162]YLYEIA[R.sup.168] peptide in in-gel trypsin digests. The peptide [sup.66]LVNEVIEFA[K.sup.75], also formed in the tryptic digest, was used as the native reference peptide. Quantitation was achieved by determining the chromatographic peak area of the two analyte peptides relative to the native reference peptide by LC/tandem mass spectrometric analyses with selected reaction monitoring. The NRP results were validated by correlation to the time-dependent increase in total protein-nitrotyrosine content determined by Western blot analysis. The precision and limit of detection of the assay were also evaluated and were found to be approximately 10% (relative standard deviation) and 5 fmol on-column, respectively. These results demonstrate the utility of the NRP method for quantitative analyses of posttranslation modifications, in terms of broad applicability, ease of experimental design, sensitivity, and precision.

We measured the impact of new mutations on genetic variation for body size in two independent sets of C. elegans spontaneous mutation-accumulation (MA) lines, derived from the N2 strain, that had been maintained by selfing for 60 or 152 generations. The two sets of lines gave broadly consistent results. The change of among-line genetic variation between cryopreserved controls and the MA lines implied that broad sense heritability increased by 0.4% per generation. Overall, MA reduced mean body size by ~0.1% per generation. The genome-wide rate for mutations with detectable effects on size was estimated to be ~0.0025 per haploid genome per generation, and their mean effects were ~20%. The proportion of mutations that increase body size was estimated by maximum likelihood to be no more than 20%, suggesting that the amount of mutational variation available for selection for increased size could be quite small. This hypothesis was supported by an artificial selection experiment on adult body size, started from a single highly inbred N2 individual. We observed a strongly asymmetrical response to selection of a magnitude consistent with the input of mutational variance observed in the MA experiment.

The hypothesis that humans may suffer a high genomic deleterious mutation rate has been tested through application of a variant of a molecular approach. It is estimated that around 4.2 amino-acid-altering mutations per diploid per generation have occurred since separation from chimpanzees. About 38% are estimated to have been eliminated by natural selection, suggesting over 1.6 new deleterious mutations, and indicating that the rate specific to protein-coding sequences is nearly to the upper tolerable limit.

The genomic rate and distribution of effects of deleterious mutations are important parameters in evolutionary theory. The most detailed information comes from the work of Mukai and Ohnishi, who allowed mutations to accumulate on Drosophila melanogaster second chromosomes, shielded from selection and recombination by being maintained heterozygous in males. Averaged over studies, the estimated rate of nonlethal viability mutations per second chromosome per generation under an equal-effects model, [U.sub.BM], was 0.12, suggesting a high genomic mutation rate. We have performed a mutation-accumulation experiment similar to those of Mukai and Ohnishi, except that three large homozygous control populations were maintained. Egg-to-adult viability of 72 nonlethal mutation-accumulation (MA) lines and the controls was assayed after 27-33 generations of mutation accumulation. The rate of decline in mean viability was significantly lower than observed by Mukai, and the rate of increase in among-line variance was significantly higher. Our [U.sub.BM] estimate of 0.02 is much lower than the previous estimates. Our results suggest that the rate of mutations that detectably reduce viability may not be much greater than the lethal mutation rate (0.01 in these lines), but the results also are consistent with models that include many mutations with very small effects.