What can we do about osteoarthritis?

Osteoarthritis is complex in genetics, pathogenesis, monitoring and treatment. Current treatment of osteoarthritis does not influence progression. Much could be gained by more effective 'low-tech-low-cost' treatment. However, many patients have rapidly progressive disease, multiple joint involvement, and severe disease. We need to clarify the genetics of osteoarthritis, identify those at risk for progression and severe disease, and identify molecular processes critical for joint survival and failure. Will saving the cartilage improve patient pain and function? Effective outcome measures are needed to accelerate testing of new treatments. Further improvement is needed in joint implant technology to decrease costs, wear and loosening.     

What does CNTNAP2 reveal about autism spectrum disorder?

Autism spectrum disorder (ASD) is a phenotypically and genetically heterogeneous condition characterized by the presence of repetitive/restrictive behaviors and variable deficits in language and social behavior. Many genes predisposing an individual to ASD have been identified, and understanding the causal disease mechanism(s) is critical to be able to develop treatments. Neurobiological, genetic, and imaging data provide strong evidence for the CNTNAP2 gene as a risk factor for ASD and related neurodevelopmental disorders. This review discusses the clinical genetics and current understanding of the biology of CNTNAP2 as related to ASD and illustrates how the integration of multiple research approaches, from human studies to animal models, converge to inform functional biology focused on novel treatment development.     

Review: what can structural classifications reveal about protein evolution?

In this article we present a review of the methods used for comparing and classifying protein structures. We discuss the hierarchies and populations of fold groups and evolutionary families in some of the major classifications and we consider some of the problems confronting any general analyses of structural evolution in protein families. We also review some more recent analyses that have expanded these classifications by identifying sequence relatives in the genomes and thereby reveal interesting trends in fold usage and recurrence.     

What can DNA tell us about biological invasions?

It is often hoped that population genetics can answer questions about the demographic and geographic dynamics of recent biological invasions. Conversely, invasions with well-known histories are sometimes billed as opportunities to test methods of population genetic inference. In both cases, underappreciated limitations constrain the usefulness of genetic methods. The most significant is that human-caused invasions have occurred on historical timescales that are orders of magnitude smaller than the timescales of mutation and genetic drift for most multicellular organisms. Analyses based on the neutral theory of molecular evolution cannot resolve such rapid dynamics. Invasion histories cannot be reconstructed in the same way as biogeographic changes occurring over millenia. Analyses assuming equilibrium between mutation, drift, gene flow, and selection will rarely be applicable, and even methods designed for explicitly non-equilibrium questions often require longer timescales than the few generations of most invasions of current concern. We identified only a few population genetic questions that are tractable over such short timescales. These include comparison of alternative hypotheses for the geographic origin of an invasion, testing for bottlenecks, and hybridization between native and invasive species. When proposing population genetic analysis of a biological invasion, we recommend that biologists ask (i) whether the questions to be addressed will materially affect management practice or policy, and (ii) whether the proposed analyses can really be expected to address important population genetic questions. Despite our own enthusiasm for population genetic research, we conclude that genetic analysis of biological invasions is justified only under exceptional circumstances.     

What can dolphins tell us about primate evolution?

Fifty-five million years ago, a furry, hoofed mammal about the size of a dog ventured into the shallow brackish remnant of the Tethys Sea and set its descendants on a path that would lead to their complete abandonment of the land. These early ancestors of cetaceans (dolphins, porpoises, and whales) thereafter set on an evolutionary course that is arguably the most unusual of any mammal that ever lived. Primates and cetaceans, because of their adaptation to exclusively different physical environments, have had essentially nothing to do with each other throughout their evolution as distinct orders. In fact, the closest phylogenetic relatives of cetaceans are even-toed ungulates.     

What can genetics tell us about population connectivity?

Genetic data are often used to assess ‘population connectivity’ because it is difficult to measure dispersal directly at large spatial scales. Genetic connectivity, however, depends primarily on the absolute number of dispersers among populations, whereas demographic connectivity depends on the relative contributions to population growth rates of dispersal vs. local recruitment (i.e. survival and reproduction of residents). Although many questions are best answered with data on genetic connectivity, genetic data alone provide little information on demographic connectivity. The importance of demographic connectivity is clear when the elimination of immigration results in a shift from stable or positive population growth to negative population growth. Otherwise, the amount of dispersal required for demographic connectivity depends on the context (e.g. conservation or harvest management), and even high dispersal rates may not indicate demographic interdependence. Therefore, it is risky to infer the importance of demographic connectivity without information on local demographic rates and how those rates vary over time. Genetic methods can provide insight on demographic connectivity when combined with these local demographic rates, data on movement behaviour, or estimates of reproductive success of immigrants and residents. We also consider the strengths and limitations of genetic measures of connectivity and discuss three concepts of genetic connectivity that depend upon the evolutionary criteria of interest: inbreeding connectivity, drift connectivity, and adaptive connectivity. To conclude, we describe alternative approaches for assessing population connectivity, highlighting the value of combining genetic data with capture‐mark‐recapture methods or other direct measures of movement to elucidate the complex role of dispersal in natural populations.     

What can the mitochondrial genome reveal about higher‐level phylogeny of the molluscan class Cephalopoda?

We present the first analysis of cephalopod mitochondrial gene order and construct phylogenies based on gene order using Bayesian, distance, and parsimony analysis methods. Analyses included all species of cephalopod for which the whole mitochondrial genome has been sequenced. Where resolution was obtained, these analyses supported division of Neocoleoidea, in which all recent coleoid Cephalopoda can be placed, into Octopodiformes and Decapodiformes. For the same taxa, we also constructed a phylogeny in a maximum likelihood framework based on amino‐acid coded sequence data of all mitochondrial protein coding genes. As well as supporting Octopodiformes and Decapodiformes, amino‐acid analyses established support for Teuthoidea (Oegospida and Myopsida) to the exclusion of Sepiidae, and supported a monophyletic Oegopsida. Partial mitochondrial sequences of additional higher‐level taxa for which whole genome data were not available were subsequently included in the amino‐acid analysis to provide additional information on phylogeny. Spirulida was found to be basal amongst Decapodiformes. Mapping of morphological characters onto our phylogeny and consideration of palaeontological evidence suggests that our phylogeny reflects true evolutionary relationships. © 2011 The Linnean Society of London, Zoological Journal of the Linnean Society, 2011, 161 , 573–586.     

What can whole genome expression data tell us about the ecology and evolution of personality?

Consistent individual differences in behaviour, aka personality, pose several evolutionary questions. For example, it is difficult to explain within-individual consistency in behaviour because behavioural plasticity is often advantageous. In addition, selection erodes heritable behavioural variation that is related to fitness, therefore we wish to know the mechanisms that can maintain between-individual variation in behaviour. In this paper, we argue that whole genome expression data can reveal new insights into the proximate mechanisms underlying personality, as well as its evolutionary consequences. After introducing the basics of whole genome expression analysis, we show how whole genome expression data can be used to understand whether behaviours in different contexts are affected by the same molecular mechanisms. We suggest strategies for using the power of genomics to understand what maintains behavioural variation, to study the evolution of behavioural correlations and to compare personality traits across diverse organisms.     

What can mathematical modeling tell us about hybrid invasions?

Compared to the vast theoretical literature on the dynamics of single species invasions, relatively few models have dealt with the emergence of invasive hybrids. Here, we review the variety of modeling approaches that have been used to study the dynamics of hybridization, outlining the underlying assumptions and highlighting their advantages and disadvantages. We summarize the predicted outcomes for the persistence for the native species and the resulting genetic composition of the native–exotic–hybrid complex under a variety of model scenarios. We highlight promising future directions for theoretical investigation and its integration with experimental studies.     

What else can green monkeys tell us about AIDS?

Although the development of an HIV vaccine may eventually provide a means of controlling AIDS in developed countries, more immediate and less sophisticated methods are going to have to be developed for use in the rural regions of Africa where AIDS may already have reached epidemic proportions. Evidence from several studies of wild primates suggests that plant secondary compounds may commonly act as control agents for a variety of different pathogens. Although studies of laboratory populations of green monkeys indicate that their resistance to AIDS is likely to be genetic, we argue that it may be worth screening some of the plants eaten by African primates in the hope of coming up with compounds that exhibit suitable anti-viral activity. Any compounds isolated in this way are likely to be much cheaper to manufacture than laboratory-produced drugs and may also have been already screened for unpleasant side-effects.     

What can humans learn from flies about adenomatous polyposis coli?

Somatic or inherited mutations in the adenomatous polyposis coli (APC) gene are a frequent cause of colorectal cancer in humans. APC protein has an important tumor suppression function to reduce cellular levels of the signaling protein beta-catenin and, thereby, inhibit beta-catenin and T-cell-factor-mediated gene expression. In addition, APC protein binds to microtubules in vertebrate cells and localizes to actin-rich adherens junctions in epithelial cells of the fruit fly Drosophila (Fig. 1). Very little is known, however, about the function of these cytoskeletal associations. Recently, Hamada and Bienz have described a potential role for Drosophila E-APC in cellular adhesion, which offers new clues to APC function in embryonic development, and potentially colorectal adenoma formation and tumor progression in humans.     

What can we learn about protein folding from Ising-like models?

Ising-like models have been remarkably successful in reproducing all the experimental data available on the equilibrium and kinetics of secondary structure formation in short peptides. Over the past two years, very similar models have been used to predict the folding of complete proteins, with encouraging results. Although Ising-like models are probably too simple to describe all aspects of protein folding, the results obtained so far indicate that they can play a critical role in the study of protein folding by bridging the gap between experiment and more detailed theoretical approaches.