The effect of teaching the nature of science on students’ acceptance and understanding of evolution: myth or reality?

The results of studies of the nature of science (NOS) as a factor that enhances students’ understanding of evolution have been inconclusive. Therefore, the main purpose of this study was to test the role of NOS instruction in enhancing students’ learning about evolution. We used a quasi-experimental design with pre- and post-tests to investigate the impact of teaching evolution with and without NOS in two classes with 15–16-year-old students, who were randomly assigned to these two classes. To measure their understanding of NOS and their acceptance and understanding of evolution, we used three different instruments that have been shown to generate reliable and valid inferences in comparable populations. The main results of this study were that, in the class in which the teaching of evolution included NOS instruction, the students’ understanding of NOS and their acceptance of evolution significantly improved. However, irrespective of the use of NOS instruction, both classes increased their understanding of evolution. These results support the claim that NOS instruction may influence students’ acceptance of evolution but not their understanding of evolution and natural selection.     

Lack of Evolution Acceptance Inhibits Students’ Negotiation of Biology-based Socioscientific Issues

The purpose of this study was to explore science content used during college students’ negotiation of biology-based socioscientific issues (SSI) and examine how it related to students’ conceptual understanding and acceptance of biological evolution. The Socioscientific Issues Questionnaire (SSI-Q) was developed to measure depth of evolutionary science content use during SSI negotiation. Fifty-two upper level undergraduate biology and non-biology majors completed the SSI-Q and also the Conceptual Inventory of Natural Selection to assess evolution understanding and the Measure of Acceptance of the Theory of Evolution to appraise evolution acceptance. A multiple regression analysis tested for interaction effects between the predictor variables, evolution understanding and evolution acceptance. Results indicate that college students primarily use science concepts related to evolution to negotiate biology-based SSI including variation in a population, inheritance of traits, differential success, and change through time. The hypothesis that the extent of one’s acceptance of evolution is a mitigating factor in how science content related to evolution is evoked during SSI negotiation was supported by the data, in that such content was consistently evoked by participants for each of the three SSI scenarios used in this study.     

On some aspects of parallel evolution in Chelicerata

A study is made of some aspects of parallel evolution in Chelicerata. Definitions are given of parallel evolution, convergence, homology and analogy. It is pointed out that the concept of parallel evolution (parallelism) is initially formed in an empirical way, and that a judgment must be based on formal criteria. Particular attention is paid to the rôle of gene regulation in parallel evolution, to the special case of convergence as a result of heterologous regulatory mechanisms, to parallel evolution in homonomous structures (and the superposition of parallelisms and divergences), and to parallelism in the evolution of characters used in higher classification.     

Experimental evolution: experimental evolution and evolvability

The suggestion that there are characteristics of living organisms that have evolved because they increase the rate of evolution is controversial and difficult to study. In this review, we examine the role that experimental evolution might play in resolving this issue. We focus on three areas in which experimental evolution has been used previously to examine questions of evolvability; the evolution of mutational supply, the evolution of genetic exchange and the evolution of genetic architecture. In each case, we summarize what studies of experimental evolution have told us so far and speculate on where progress might be made in the future. We show that, while experimental evolution has helped us to begin to understand the evolutionary dynamics of traits that affect evolvability, many interesting questions remain to be answered.     

Furcation, field-splitting, and the evolutionary origins of novelty in arthropod photoreceptors

Arthropod photoreceptor evolution is a prime example of how evolution has used existing components in the origin of new structures. Here, we outline a comparative approach to understanding the mutational origins of novel structures, describing multiple examples from arthropod photoreceptor evolution. We suggest that developmental mechanisms have often split photoreceptors during evolution (field-splitting) and we introduce “co-duplication” as a null model for the mutational origins of photoreceptor components. Under co-duplication, gene duplication events coincide with the origin of a higher level structure like an eye. If co-duplication is rejected for a component, that component probably came to be used in a new photoreceptor through regulatory mutations. If not rejected, a gene duplication mutation may have allowed the component to be used in a new structure. In multiple case studies in arthropod photoreceptor evolution, we consistently reject the null hypothesis of co-duplication of genetic components and photoreceptors. Nevertheless, gene duplication events have in some cases occurred later, allowing divergence of photoreceptors. These studies provide a new perspective on the evolution of arthropod photoreceptors and provide a comparative approach that generalizes to the study of any evolutionary novelty.     

Strategy and success for the directed evolution of enzymes

Directed evolution is widely used to improve enzymes, particularly for industrial biocatalytic processes. Molecular biology advances present many new strategies for directed evolution. Commonly used techniques have led to many successful examples of enzyme improvement, yet there is still a need to improve both the efficiency and capability of directed evolution. Recent strategies aimed at making directed evolution faster and more efficient take better advantage of available structural and sequence information. The underlying principles that lead to early dead-ends for directed evolution experiments are also discussed along with recent strategies designed to by-pass them. Several emerging methods for creating novel enzymes are also discussed including examples of catalytic activity for which there is no precedent in nature. Finally, the combined use of several strategies is likely to be required in practice to improve multiple target properties of an enzyme, as successfully shown by a recent industrial example.     

现代人类的起源和迁移：来自母性遗传的证据

mtDNA具有极少发生重组、进化速度快等特点,能忠实反映群体的母性遗传,作为人类进化研究的一类重要工具,近年来取得了突出的成就,为现代人类的起源、迁移和进化提供了大量的证据。本文拟对这一领域的研究进展作一综述。 Abstract:With special features,no recombination,fast speed of evolution etc.,mtDNA has been used to study origin,evolution and migration of Homo sapiens as a available genetic marker.The results of these researches provide remarkable evidence to human origin and evolution.This paper reviews the progress in these years.     

Milestones in directed enzyme evolution

Directed evolution has now been used for over two decades as an alternative to rational design for protein engineering. Protein function, however, is complex, and modifying enzyme activity is a tall order. We can now improve existing enzyme activity, change enzyme selectivity and evolve function de novo using directed evolution. Although directed evolution is now used routinely to improve existing enzyme activity, there are still only a handful of examples where substrate selectivity has been modified sufficiently for practical application, and the de novo evolution of function largely eludes us.     

龙胆族(龙胆科)分类与进化研究进展

龙胆是著名的高山植物,广布世界温带地区,不仅可作药用,也可用于园艺观赏。龙胆科分为6个族,其中龙胆族占龙胆科物种数的一半以上;龙胆族包括龙胆亚族和獐牙菜亚族,分类与进化方面的相关研究众多。随着分子生物学在龙胆族研究中的应用,近些年对多个类群进行了研究并发表了多个新属和新种。该文从属间和属内两个层次梳理了龙胆族近年来在分类和进化研究中的最新进展,总结了新发表的类群。并分析了现存的问题,重点强调在今后的研究中用特别注意以下几点:(1)形态性状的准确掌握对龙胆族的研究至关重要;(2)发表新类群应当谨慎;(3)单拷贝核基因有助于解析龙胆族复杂的系统发育关系;(4)关注杂交和多倍化等在龙胆族进化中的作用。     

The role of peptide modules in protein evolution

Protein evolution shows interesting strategies to be used in protein design. During evolution the creation of new proteins has been accomplished by combining different peptide modules, i.e. evolutionary successful stable folding units. Thereby, the evolution of proteins has been greatly enhanced. Today this mechanism of recombining optimized building blocks to design new proteins has been introduced into applied molecular evolution.     

Adaptation to monogamy influences parental care but not mating behavior in the burying beetle,Nicrophorus vespilloides

The mating system is expected to have an important influence on the evolution of mating and parenting behaviors. Although many studies have used experimental evolution to examine how mating behaviors evolve under different mating systems, this approach has seldom been used to study the evolution of parental care. We used experimental evolution to test whether adaptation to different mating systems involves changes in mating and parenting behaviors in populations of the burying beetle, Nicrophorus vespilloides. We maintained populations under monogamy or promiscuity for six generations. This manipulation had an immediate impact on reproductive performance and adult survival. Compared to monogamy, promiscuity reduced brood size and adult (particularly male) survival during breeding. After six generations of experimental evolution, there was no divergence between monogamous and promiscuous populations in mating behaviors. Parents from the promiscuous populations (especially males) displayed less care than parents from the monogamous populations. Our results are consistent with the hypothesis that male care will increase with the certainty of paternity. However, it appears that this change is not associated with a concurrent change in mating behaviors.     

体内连续进化技术的研究进展

实验室进化是遗传育种、提高微生物性能的重要方式。近几十年来,实验室进化的方法快速发展,应用也越来越广泛,但是常见的菌株进化策略以及针对特定蛋白的进化存在突变过程不连续,需要多轮操作、工作量大等缺点。微生物突变和筛选技术的进步促进了体内连续进化的发展,大大提高了实验室进化的效率。体内连续进化技术实现了体内突变,完美地把突变与筛选相结合,以最少的人工干预进化出特定表型。文中总结了近年来在微生物底盘中开发的基因组范围的体内连续进化技术,以及独立于基因组的针对特定蛋白的体内连续进化技术,主要对这些技术实现体内连续突变的原理及其相关应用进行了介绍。在此基础上,分析了现有技术的优缺点,并对体内连续进化技术的发展进行了展望。     

蚕类昆虫线粒体DNA研究及其在起源与进化研究中的应用

线粒体DNA(mtDNA)属母系遗传,进化速率较核基因快且基因组结构相对简单,已作为理想的分子标记广泛应用于昆虫群体遗传学及分子系统学等研究。本文对蚕类昆虫线粒体DNA在分子水平上的最新研究进展进行了较详细的阐述,重点介绍了蚕类昆虫线粒体基因组的组成及特征、mtDNA克隆与多态性及在蚕类昆虫分子系统学研究中的应用等。     

High-throughput screening of enzyme libraries

Directed evolution is becoming a widely used technique for modifying or enhancing protein performance. Ultimately, the success of directed protein evolution experiments hinges on the efficiency of the methods used to screen libraries for mutants with properties of interest. Although there is still a paucity of general methods for enzyme library screening, in recent years a number of promising strategies have emerged and are increasingly being used to explore challenging issues in protein engineering.     

Necessity,Futility and the Possibility of Defining Life are all Embedded in its Origin as a Punctuated-gradualism

The criteria used for defining life are influenced by various philosophical visions about life, ranging from holism to reductionism and from mechanistic-reductionism to vitalism. Using different scenarios about the origin and evolution of life as well as properties of energy-dissipative systems, artificial life simulations and basic tenets of xenobiology, guidelines can be established for formulating a definition of life. A definition of life is proposed that is parametric, non-Earth-centric, quantitative and capable of discriminating ‘living entities’ from ‘life’. Living entities are defined as self-maintained systems, capable of adaptive evolution individually, collectively or as a line of descend. Life is a broader concept indicating that the capacity to express these attributes is either virtual or actual. At least four major phase transitions can be recognized during the origin of life (reflexive activity; self-regulated homeostasis; the advent of informatons and the origin of adaptive evolution); these make the origin and evolution of early life an example of ‘punctuated gradualism’. Such phase transitions can be used to identify a boundary in early evolution where life began. This contribution identifies the step in the evolution of a dynamic system when digital control of the system’s state becomes dominant over analogical control, and genetic information is irreversibly used for adaptive evolution, as the boundary between non-living and living systems.     

NEW MODEL SYSTEMS FOR EXPERIMENTAL EVOLUTION

Microbial experimental evolution uses a few well‐characterized model systems to answer fundamental questions about how evolution works. This special section highlights novel model systems for experimental evolution, with a focus on marine model systems that can be used to understand evolutionary responses to global change in the oceans.     

Directed evolution of novel protein functions

Directed evolution has been successfully used to engineer proteins for basic and applied biological research. However, engineering of novel protein functions by directed evolution remains an overwhelming challenge. This challenge may come from the fact that multiple simultaneously or synergistic mutations are required for the creation of a novel protein function. Here we review the key developments in engineering of novel protein functions by using either directed evolution or a combined directed evolution and rational or computational design approach. Specific attention will be paid to a molecular evolution model for generation of novel proteins. The engineered novel proteins should not only broaden the range of applications of proteins but also provide new insights into protein structure-function relationship and protein evolution.     

Reconstruction of DNA sequences using genetic algorithms and cellular automata: Towards mutation prediction?

Change of DNA sequence that fuels evolution is, to a certain extent, a deterministic process because mutagenesis does not occur in an absolutely random manner. So far, it has not been possible to decipher the rules that govern DNA sequence evolution due to the extreme complexity of the entire process. In our attempt to approach this issue we focus solely on the mechanisms of mutagenesis and deliberately disregard the role of natural selection. Hence, in this analysis, evolution refers to the accumulation of genetic alterations that originate from mutations and are transmitted through generations without being subjected to natural selection. We have developed a software tool that allows modelling of a DNA sequence as a one-dimensional cellular automaton (CA) with four states per cell which correspond to the four DNA bases, i.e. A, C, T and G. The four states are represented by numbers of the quaternary number system. Moreover, we have developed genetic algorithms (GAs) in order to determine the rules of CA evolution that simulate the DNA evolution process. Linear evolution rules were considered and square matrices were used to represent them. If DNA sequences of different evolution steps are available, our approach allows the determination of the underlying evolution rule(s). Conversely, once the evolution rules are deciphered, our tool may reconstruct the DNA sequence in any previous evolution step for which the exact sequence information was unknown. The developed tool may be used to test various parameters that could influence evolution. We describe a paradigm relying on the assumption that mutagenesis is governed by a near-neighbour-dependent mechanism. Based on the satisfactory performance of our system in the deliberately simplified example, we propose that our approach could offer a starting point for future attempts to understand the mechanisms that govern evolution. The developed software is open-source and has a user-friendly graphical input interface.     

Evolution of ribonuclease H genes in prokaryotes to avoid inheritance of redundant genes

Background  

A theoretical model of genetic redundancy has proposed that the fates of redundant genes depend on the degree of functional redundancy, and that functionally redundant genes will not be inherited together. However, no example of actual gene evolution has been reported that can be used to test this model. Here, we analyzed the molecular evolution of the ribonuclease H (RNase H) family in prokaryotes and used the results to examine the implications of functional redundancy for gene evolution.     

Exaggerated evolution of male armaments via male–male competition

Males usually compete to gain access to prospective mates. Through this male–male competition, superior males have a higher chance of passing on their traits to the next generation of male offspring. One category of male traits is armaments, which are weapons used during competition, for example, the chelae of fiddler crabs and the antlers of deer. One consequence of intrasexual selection is the exaggerated evolution of armaments, which can be limited by trade‐offs, such as trade‐offs with male body size. Here, we formulate a game‐theoretic sexual selection model to explore the exaggerated evolution of armaments through male–male competition. The model is used to determine how competition affects the evolution of an armament that is subject to trade‐offs. Our simulation can be used to support the exaggerated evolution hypothesis, that is, male–male competition escalates the rate of evolution of armaments.