Penalized feature selection and classification in bioinformatics

In bioinformatics studies, supervised classification with high-dimensional input variables is frequently encountered. Examples routinely arise in genomic, epigenetic and proteomic studies. Feature selection can be employed along with classifier construction to avoid over-fitting, to generate more reliable classifier and to provide more insights into the underlying causal relationships. In this article, we provide a review of several recently developed penalized feature selection and classification techniques--which belong to the family of embedded feature selection methods--for bioinformatics studies with high-dimensional input. Classification objective functions, penalty functions and computational algorithms are discussed. Our goal is to make interested researchers aware of these feature selection and classification methods that are applicable to high-dimensional bioinformatics data.     

丝状真菌遗传筛选系统的研究及其应用

随着基因组时代的发展,主要丝状真菌基因组测序基本完成而被广泛应用于工业、农业、医药等领域。然而丝状真菌的遗传转化效率极低,为了保证在大量非转化子背景下能筛选到目标转化子,恰当的筛选标记显得尤为重要。目前,在丝状真菌的遗传转化过程中常用的筛选标记可分为两类:药物抗性筛选标记和营养缺陷型筛选标记。但两者均具有一定的局限性,为此科研人员利用最新研究的基因组编辑技术对筛选标记加以修饰改造,以更好地用于遗传筛选。本文综述了目前常用的遗传筛选系统的分子机制及运用基因组编辑技术改造的新型筛选标记理论,为丝状真菌在各领域更广泛的应用奠定基础。     

Sexual selection: an evolutionary force in plants?

Sexual selection has traditionally been used to explain exaggerated sexual traits in male animals. Today the concept has been developed and various other sexually related traits have been suggested to evolve in the same manner. In nearly all new areas where the theory of sexual selection has been applied, there has been an intense debate as to whether the application is justified. Is it the case that some scientists are all too ready to employ fashionable ideas? Or are there too many dogmatic researchers refusing to accept that science develops and old ideas are transformed? Maybe the controversies are simply a reflection of the difficulty of defining a theory under constant re‐evaluation. Thus, we begin by summarizing the theory of sexual selection in order to assess the influence of sexual selection on the evolution of plant morphology. We discuss empirical findings concerning potentially affected traits. Although we have tried to address criticisms fairly, we still conclude that sexual selection can be a useful tool when studying the evolution of reproductive traits in plants. Furthermore, by including the evidence from an additional kingdom, a fuller understanding of the processes involved in sexual selection can be gained.     

Reconstruction of the synthetic W7984 x Opata M85 wheat reference population

Reference populations are valuable resources in genetics studies for determining marker order, marker selection, trait mapping, construction of large-insert libraries, cross-referencing marker platforms, and genome sequencing. Reference populations can be propagated indefinitely, they are polymorphic and have normal segregation. Described are two new reference populations who share the same parents of the original wheat reference population Synthetic W7984 (Altar84/ Aegilops tauschii (219) CIGM86.940) x Opata M85, an F(1)-derived doubled haploid population (SynOpDH) of 215 inbred lines and a recombinant inbred population (SynOpRIL) of 2039 F(6) lines derived by single-plant self-pollinations. A linkage map was constructed for the SynOpDH population using 1446 markers. In addition, a core set of 42 SSR markers was genotyped on SynOpRIL. A new approach to identifying a core set of markers used a step-wise selection protocol based on polymorphism, uniform chromosome distribution, and reliability to create nested sets starting with one marker per chromosome, followed by two, four, and six. It is suggested that researchers use these markers as anchors for all future mapping projects to facilitate cross-referencing markers and chromosome locations. To enhance this public resource, researchers are strongly urged to validate line identities and deposit their data in GrainGenes so that others can benefit from the accumulated information.     

Strategies to minimize background autofluorescence in live mice during noninvasive fluorescence optical imaging

As small-animal fluorescence imaging becomes increasingly accessible to a broad spectrum of users, many lab animal researchers are just beginning to be exposed to its challenges. One setback to fluorescence imaging is background autofluorescence generated in animal tissue and in ingested food. The authors bring this issue into focus, and show how autofluorescence can be reduced in nude mice through selection of appropriate excitation wavelength and mouse diet.     

The evolution of sexual dimorphism in animals: Hypotheses and tests

Three major hypotheses, based upon mechanisms of sexual selection, intersexual food competition and reproductive role division, have been advanced to explain the evolution of sexual dimorphism in body size and morphology of animals. Genetic models suggest that all of the hypotheses are plausible, and empirical studies demonstrate that each of the three mechanisms operates in natural populations. However, problems arise in testing hypotheses for the evolution of sexual dimorphism: more than one mechanism may be operating simultaneously, and the demonstrated occurrence of a mechanism does not indicate that it actually results in selection for dimorphism. A recent statistical technique offers a solution to these problems and provides a promising new approach to the study of sexual dimorphism, in which researchers can assess the relative importance of each mechanism in present-day selection for sexual dimorphism within a species.     

Shifting values partly explain the debate over group selection

I argue that images of the notion of group, in correspondence with their social and political values, shape the debate over the evolution of altruism by group selection. Important aspects of this debate are empirical, and criteria can decide among a variety of selection processes. However, leading researchers undermine or reinterpret such tests, explaining the evolution of altruism on the basis of a single extreme metaphor of ‘group’ and a single inclusive selection process. I shall argue that the extreme images for the notion of group are associated with ideologies that these researchers support or fear. Hence, the history of social and political uses of ‘group’ and ‘group selection’ can explain, at least in part, some of the empirical deficiencies of the debate, and why it has continued without resolution or dissolution.     

Pharmacodynamics in the study of drug resistance and establishing in vitro susceptibility breakpoints: ready for prime time

Considerable advancements have been made in providing informative, relevant interpretations of the results of antimicrobial susceptibility tests to clinicians, clinical microbiologists, epidemiologists, and researchers. At the same time, the science of pharmacokinetics has flourished, and the importance of drug exposure in vivo on outcome is now recognized by researchers and clinicians alike. More recently, pharmacokinetic and quantitative measures of antimicrobial susceptibility have been integrated using pharmacokinetic-pharmacodynamic (PK-PD) models to forecast clinical and microbiological outcomes. Stochastic methods utilizing patient population pharmacokinetics, target organism minimum inhibitory concentration (MIC) distributions, and PK-PD targets from non-clinical models of infection or clinical data have established a new paradigm for determining in vitro susceptibility breakpoints and selection of empirical therapy in clinical practice. Given the increasing problem of antimicrobial resistance, these new tools are valuable additions for clinicians, researchers, and regulatory authorities.     

MADS-box out of the black box

The compelling elegance of using genome‐wide scans to detect the signature of selection is difficult to resist, but is countered by the low demonstrated efficacy of pinpointing the actual genes and traits that are the targets of selection in nonmodel species. While the difficulty of going from a suggestive signature to a functional nucleotide polymorphism should not prevent researchers from using genome scans, it does lessen their long‐term utility within and across study systems. In a new study published in this issue of Molecular Ecology ( Mariac et al. 2011 ), researchers have gone a long way towards increasing the relevance of genome‐wide scans for selection via two approaches: (i) they tailored the markers used in the scan to target a family of developmental genes that were good candidates for controlling a trait of interest and (ii) they used an independent mapping population to confirm the association of the gene with polymorphism in the trait of interest. All of this was completed in the nonmodel system of pearl millet (Pennisetum glaucum) and may provide a road map for other researchers hoping to pin down solid candidate genes for selected traits in natural or cultivated systems. Outside of these broad methodological innovations, the paper specifically focuses on a trait (flowering time) that varies across an environmental gradient (rainfall). This environmental gradient potentially serves as a model for environmental change over time, and allele frequencies at the gene can therefore be used to track how populations of pearl millet will adapt to future climate shifts at the genetic level.     

Model selection in ecology and evolution

Recently, researchers in several areas of ecology and evolution have begun to change the way in which they analyze data and make biological inferences. Rather than the traditional null hypothesis testing approach, they have adopted an approach called model selection, in which several competing hypotheses are simultaneously confronted with data. Model selection can be used to identify a single best model, thus lending support to one particular hypothesis, or it can be used to make inferences based on weighted support from a complete set of competing models. Model selection is widely accepted and well developed in certain fields, most notably in molecular systematics and mark-recapture analysis. However, it is now gaining support in several other areas, from molecular evolution to landscape ecology. Here, we outline the steps of model selection and highlight several ways that it is now being implemented. By adopting this approach, researchers in ecology and evolution will find a valuable alternative to traditional null hypothesis testing, especially when more than one hypothesis is plausible.     

The signature of positive selection on standing genetic variation

Considerable interest is focused on the use of polymorphism data to identify regions of the genome that underlie recent adaptations. These searches are guided by a simple model of positive selection, in which a mutation is favored as soon as it arises. This assumption may not be realistic, as environmental changes and range expansions may lead previously neutral or deleterious alleles to become beneficial. We examine what effect this mode of selection has on patterns of variation at linked neutral sites by implementing a new coalescent model of positive directional selection on standing variation. In this model, a neutral allele arises and drifts in the population, then at frequency f becomes beneficial, and eventually reaches fixation. Depending on the value of f, this scenario can lead to a large variance in allele frequency spectra and in levels of linkage disequilibrium at linked, neutral sites. In particular, for intermediate f, the beneficial substitution often leads to a loss of rare alleles--a pattern that differs markedly from the signature of directional selection currently relied on by researchers. These findings highlight the importance of an accurate characterization of the effects of positive selection, if we are to reliably identify recent adaptations from polymorphism data.     

Historical DNA as a tool to address key questions in avian biology and evolution: A review of methods,challenges, applications,and future directions

Museum specimens play a crucial role in addressing key questions in systematics, evolution, ecology, and conservation. With the advent of high‐throughput sequencing technologies, specimens that have long been the foundation of important biological discoveries can inform new perspectives as sources of genomic data. Despite the many possibilities associated with analyzing DNA from historical specimens, several challenges persist. Using avian systems as a model, we review DNA extraction protocols, sequencing technologies, and capture methods that are helping researchers overcome some of these difficulties. We highlight empirical examples in which researchers have used these technologies to address fundamental questions related to avian conservation and evolution. Increasing accessibility to new sequencing technologies will provide researchers with tools to tap into the wealth of information contained within our valuable natural history collections.     

Beauty is in the eye of the beholder: causes and consequences of variation in mating preferences

To a large extent, the success of evolutionary ecology stems from its focus on individual variation and acknowledging that individuals vary in predictable ways. Sexual selection is probably the branch of evolutionary ecology that has received most interest in the past two decades. Paradoxically, progress has been hampered by not taking individual mating preferences into account. Now, researchers are starting to pay more attention to individual variation in preferences. This change in focus holds great promise for future advances in the study of sexual selection.     

Modeling Complex Phenotypes: Generalized Linear Models Using Spectrogram Predictors of Animal Communication Signals

Summary A major goal of evolutionary biology is to understand the dynamics of natural selection within populations. The strength and direction of selection can be described by regressing relative fitness measurements on organismal traits of ecological significance. However, many important evolutionary characteristics of organisms are complex, and have correspondingly complex relationships to fitness. Secondary sexual characteristics such as mating displays are prime examples of complex traits with important consequences for reproductive success. Typically, researchers atomize sexual traits such as mating signals into a set of measurements including pitch and duration, in order to include them in a statistical analysis. However, these researcher‐defined measurements are unlikely to capture all of the relevant phenotypic variation, especially when the sources of selection are incompletely known. In order to accommodate this complexity we propose a Bayesian dimension‐reduced spectrogram generalized linear model that directly incorporates representations of the entire phenotype (one‐dimensional acoustic signal) into the model as a predictor while accounting for multiple sources of uncertainty. The first stage of dimension reduction is achieved by treating the spectrogram as an “image” and finding its corresponding empirical orthogonal functions. Subsequently, further dimension reduction is accomplished through model selection using stochastic search variable selection. Thus, the model we develop characterizes key aspects of the acoustic signal that influence sexual selection while alleviating the need to extract higher‐level signal traits a priori. This facet of our approach is fundamental and has the potential to provide additional biological insight, as is illustrated in our analysis.     

Practical Approaches for Detecting Selection in Microbial Genomes

Microbial genome evolution is shaped by a variety of selective pressures. Understanding how these processes occur can help to address important problems in microbiology by explaining observed differences in phenotypes, including virulence and resistance to antibiotics. Greater access to whole-genome sequencing provides microbiologists with the opportunity to perform large-scale analyses of selection in novel settings, such as within individual hosts. This tutorial aims to guide researchers through the fundamentals underpinning popular methods for measuring selection in pathogens. These methods are transferable to a wide variety of organisms, and the exercises provided are designed for researchers with any level of programming experience.

This is part of the PLOS Computational Biology Education collection.

     

New directions for studying selection in nature: studies of performance and communities

Natural and sexual selection are crucial factors in the evolutionary process, yet recent reviews show that researchers have focused narrowly on this topic, with the majority of research centered on the morphological traits of single species. However, in the past several years, several bodies of work have emerged that have examined both selection on performance capacity and selection in a community context, and our goal is to highlight these two growing areas and point toward future directions. Recent studies of selection on performance capacity point toward directional selection favoring high levels of performance, and we detected less evidence for selection favoring intermediate (i.e., stabilizing) or bimodal (i.e., disruptive) kinds of performance levels. Studies of selection in a community context, using the paradigm of indirect genetic effects, show significant community heritability and strong capacity for evolution to occur in a community context via the force of natural selection. For future directions, we argue that researchers should shift toward longer-term studies of selection on both individual species and communities, and we also encourage researchers to publish negative selection results for both performance and community studies to act as balancing influences on published positive selection results.     

蛋白质的二级结构预测研究进展

认识蛋白质的二级结构是了解蛋白质的折叠模式和三级结构的基础,并为研究蛋白质的功能以及它们之间的相互作用模式提供结构基础,同时还可以为新药研发提供帮助。故研究蛋白质的二级结构具有重要的意义。随着后基因组时代的到来,越来越多的蛋白质序列不断被发现,给蛋白质的二级结构研究带来巨大的挑战和研究空间。而依靠传统的实验方法很难获取大规模蛋白质的二级结构信息。目前,采用生物信息学手段仍然是获得大部分蛋白质二级结构的途径。近年来,许多研究者通过构建用于二级结构预测的蛋白质数据集,计算、提取蛋白质的各种特征信息,并采用不同的预测算法预测蛋白质的二级结构得到了快速的发展。本文拟从蛋白质的特征信息的提取与筛选、预测算法以及预测效果的检验方法等方面进行综述,介绍蛋白质二级结构预测领域的研究进展。相信随着基因组学、蛋白质组学和生物信息学的不断发展,蛋白质二级结构预测会不断取得新突破。     

Some practical suggestions for improving engagement between researchers and policy‐makers in natural resource management

Summary Policy‐makers and managers in natural resource management (NRM) often complain that researchers are out of touch. Researchers often complain that policy‐makers and managers make poorly informed decisions. In this article, we report on a meeting between researchers, policy‐makers and managers convened to identify practical solutions to improve engagement between these camps. A necessary starting point is that every researcher and policy‐maker should understand, and tap into, the motivations and reward systems of the other when seeking engagement. For example, researchers can be motivated to engage in policy development if there is a promise of outputs that align with their reward systems such as co‐authored publications. Successful research–policy partnerships are built around personal relationships. As a researcher, you cannot therefore expect your results to inform policy by only publishing in journals. As a policy‐maker, you cannot guarantee engagement from researchers by publicly inviting comment on a document. Actively building and maintaining relationships with key individuals through discussions, meetings, workshops or field days will increase the likelihood that research outcomes will inform policy decisions. We identified secondments, sabbaticals, fellowships and ‘buddies’, an annual national NRM conference and ‘contact mapping’ (a Facebook‐type network) as forums that can catalyse new relationships between researchers and policy‐makers. We challenge every researcher, policy‐maker and manager in NRM to build one new cross‐cultural relationship each year.     

98% identical, 100% wrong: per cent nucleotide identity can lead plant virus epidemiology astray

Short-form publications such as Plant Disease reports serve essential functions: the rapid dissemination of information on the geography of established plant pathogens, incidence and symptomology of pathogens in new hosts, and the discovery of novel pathogens. Many of these sentinel publications include viral sequence data, but most use that information only to confirm the virus'' species. When researchers use the standard technique of per cent nucleotide identity to determine that the new sequence is closely related to another sequence, potentially erroneous conclusions can be drawn from the results. Multiple introductions of the same pathogen into a country are being ignored because researchers know fast-evolving plant viruses can accumulate substantial sequence divergence over time, even from a single introduction. An increased use of phylogenetic methods in short-form publications could speed our understanding of these cryptic second introductions and aid in control of epidemics.     

Protein and Genome Evolution in Mammalian Cells for Biotechnology Applications

Mutation and selection are the essential steps of evolution. Researchers have long used in vitro mutagenesis, expression, and selection techniques in laboratory bacteria and yeast cultures to evolve proteins with new properties, termed directed evolution. Unfortunately, the nature of mammalian cells makes applying these mutagenesis and whole-organism evolution techniques to mammalian protein expression systems laborious and time consuming. Mammalian evolution systems would be useful to test unique mammalian cell proteins and protein characteristics, such as complex glycosylation. Protein evolution in mammalian cells would allow for generation of novel diagnostic tools and designer polypeptides that can only be tested in a mammalian expression system. Recent advances have shown that mammalian cells of the immune system can be utilized to evolve transgenes during their natural mutagenesis processes, thus creating proteins with unique properties, such as fluorescence. On a more global level, researchers have shown that mutation systems that affect the entire genome of a mammalian cell can give rise to cells with unique phenotypes suitable for commercial processes. This review examines the advances in mammalian cell and protein evolution and the application of this work toward advances in commercial mammalian cell biotechnology.