An Alternative Approach: Teaching Evolution in a Natural History Museum Through the Topic of Vector-Borne Disease

Museums play a vitally important role in supporting both informal and formal education and are important venues for fostering public understanding of evolution. The Yale Peabody Museum has implemented significant education programs on evolution for many decades, mostly focused on the museum’s extensive collections that represent the past and present tree of life. Twelve years ago, the Peabody began a series of new programs that explored biodiversity and evolution as it relates to human health. Modern evolutionary theory contributes significantly to our understanding of health and disease, and medical topics provide many excellent and relevant examples to explore evolutionary concepts. The Peabody developed a program on vector-borne diseases, specifically Lyme disease and West Nile virus, which have become endemic in the United States. Both of these diseases have complex transmission cycles involving an intricate interplay among the pathogen, host, and vector, each of which is subject to differing evolutionary pressures. Using these stories, the museum explored evolutionary concepts of adaptation (e.g., the evolution of blood feeding), coevolution (e.g., the “arms race” between host and vector), and variation and selection (e.g., antibiotic resistance) among others. The project included a temporary exhibition and the development of curriculum materials for middle and high school teachers and students. The popularity of the exhibit and some formal evaluation of student participants suggested that this educational approach has significant potential to engage wide audiences in evolutionary issues. In addition it demonstrated how natural history museums can incorporate evolution into a broad array of programs.     

Biological Evolution of Replicator Systems: Towards a Quantitative Approach

The aim of this work is to study the features of a simple replicator chemical model of the relation between kinetic stability and entropy production under the action of external perturbations. We quantitatively explore the different paths leading to evolution in a toy model where two independent replicators compete for the same substrate. To do that, the same scenario described originally by Pross (J Phys Org Chem 17:312–316, 2004) is revised and new criteria to define the kinetic stability are proposed. Our results suggest that fast replicator populations are continually favored by the effects of strong stochastic environmental fluctuations capable to determine the global population, the former assumed to be the only acting evolution force. We demonstrate that the process is continually driven by strong perturbations only, and that population crashes may be useful proxies for these catastrophic environmental fluctuations. As expected, such behavior is particularly enhanced under very large scale perturbations, suggesting a likely dynamical footprint in the recovery patterns of new species after mass extinction events in the Earth’s geological past. Furthermore, the hypothesis that natural selection always favors the faster processes may give theoretical support to different studies that claim the applicability of maximum principles like the Maximum Metabolic Flux (MMF) or Maximum Entropy Productions Principle (MEPP), seen as the main goal of biological evolution.     

Mapping Biological Transmission: An Empirical,Dynamical, and Evolutionary Approach

The current debate over extending inheritance and its evolutionary impact has focused on adding new categories of non-genetic factors to the classical transmission of DNA, and on trying to redefine inheritance. Transmitted factors have been mainly characterized by their directions of transmission (vertical, horizontal, or both) and the way they store variations. In this paper, we leave aside the issue of defining inheritance. We rather try to build an evolutionary conceptual framework that allows for tracing most, if not all forms of transmission and makes sense of their different tempos and modes. We discuss three key distinctions that should in particular be the targets of theoretical and empirical investigation, and try to assess the interplay among them and evolutionary dynamics. We distinguish two channels of transmission (channel 1 and channel 2), two measurements of the temporal dynamics of transmission, respectively across and within generations (durability and residency), and two types of transmitted factors according to their evolutionary relevance (selectively relevant and neutral stable factors). By implementing these three distinctions we can then map different forms of transmission over a continuous space describing the combination of their varying dynamical features. While our aim is not to provide yet another model of inheritance, putting together these distinctions and crossing them, we manage to offer an inclusive conceptual framework of transmission, grounded in empirical observation, and coherent with evolutionary theory. This interestingly opens possibilities for qualitative and quantitative analyses, and is a necessary step, we argue, in order to question the interplay between the dynamics of evolution and the dynamics of multiple forms of transmission.     

Microbial Metabolism as an Evolutionary Response: The Cybernetic Approach to Modeling

ABSTRACT:?

The growth and metabolic capabilities of microorganisms depend on their interactions with the culture medium. Many media contain two or more key substrates, and an organism may have different preferences for the components. Microorganisms adjust their preferences according to the prevailing conditions so as to favor their own survival. Cybernetic modeling describes this evolutionary strategy by defining a goal that an organism tries to attain optimally at all times. The goal is often, but not always, maximization of growth, and it may require the cells to manipulate their metabolic processes in response to changing environmental conditions.

The cybernetic approach overcomes some of the limitations of metabolic control analysis (MCA), but it does not substitute MCA. Here we review the development of the cybernetic modeling of microbial metabolism, how it may be combined with MCA, and what improvements are needed to make it a viable technique for industrial fermentation processes.

IMTECH communication no.001/2001     

Evolutionary Connectionism: Algorithmic Principles Underlying the Evolution of Biological Organisation in Evo-Devo,Evo-Eco and Evolutionary Transitions

The mechanisms of variation, selection and inheritance, on which evolution by natural selection depends, are not fixed over evolutionary time. Current evolutionary biology is increasingly focussed on understanding how the evolution of developmental organisations modifies the distribution of phenotypic variation, the evolution of ecological relationships modifies the selective environment, and the evolution of reproductive relationships modifies the heritability of the evolutionary unit. The major transitions in evolution, in particular, involve radical changes in developmental, ecological and reproductive organisations that instantiate variation, selection and inheritance at a higher level of biological organisation. However, current evolutionary theory is poorly equipped to describe how these organisations change over evolutionary time and especially how that results in adaptive complexes at successive scales of organisation (the key problem is that evolution is self-referential, i.e. the products of evolution change the parameters of the evolutionary process). Here we first reinterpret the central open questions in these domains from a perspective that emphasises the common underlying themes. We then synthesise the findings from a developing body of work that is building a new theoretical approach to these questions by converting well-understood theory and results from models of cognitive learning. Specifically, connectionist models of memory and learning demonstrate how simple incremental mechanisms, adjusting the relationships between individually-simple components, can produce organisations that exhibit complex system-level behaviours and improve the adaptive capabilities of the system. We use the term “evolutionary connectionism” to recognise that, by functionally equivalent processes, natural selection acting on the relationships within and between evolutionary entities can result in organisations that produce complex system-level behaviours in evolutionary systems and modify the adaptive capabilities of natural selection over time. We review the evidence supporting the functional equivalences between the domains of learning and of evolution, and discuss the potential for this to resolve conceptual problems in our understanding of the evolution of developmental, ecological and reproductive organisations and, in particular, the major evolutionary transitions.     

Evolutionary Medicine: A Key to Introducing Evolution

Science teachers can use examples and concepts from evolutionary medicine to teach the three concepts central to evolution: common descent, the processes or mechanisms of evolution, and the patterns produced by descent with modification. To integrate medicine into common ancestry, consider how the evolutionary past of our (or any) species affects disease susceptibility. That humans are bipedal has produced substantial changes in our musculoskeletal system, as well as causing problems for childbirth. Mechanisms such as natural selection are well exemplified in evolutionary medicine, as both disease-causing organism and their targets adapt to one another. Teachers often use examples such as antibiotic resistance to teach natural selection: it takes little alteration of the lesson plan to make explicit that evolution is key to understanding the principles involved. Finally, the pattern of evolution can be illustrated through evolutionary medicine because organisms sharing closer ancestry also share greater susceptibility to the same disease-causing organisms. Teaching evolution using examples from evolutionary medicine can make evolution more interesting and relevant to students, and quite probably, more acceptable as a valid science.     

IDEA: Interactive Display for Evolutionary Analyses

Background  

The availability of complete genomic sequences for hundreds of organisms promises to make obtaining genome-wide estimates of substitution rates, selective constraints and other molecular evolution variables of interest an increasingly important approach to addressing broad evolutionary questions. Two of the programs most widely used for this purpose are codeml and baseml, parts of the PAML (Phylogenetic Analysis by Maximum Likelihood) suite. A significant drawback of these programs is their lack of a graphical user interface, which can limit their user base and considerably reduce their efficiency.     

From Sound to Music: An Evolutionary Approach to Musical Semantics

This paper holds an evolutionary approach to musical semantics. Revolving around the nature/nurture dichotomy, it considers the role of the dispositional machinery to respond to sounding stimuli. Conceiving of music as organized sound, it stresses the dynamic tension between music as a collection of vibrational events and their potential of being structured. This structuring, however, is not gratuitous. It depends on levels of processing that rely on evolutionary older levels of reacting to the sounds as well as higher-level functions of the brain, which allow listeners to emancipate themselves from mere acoustic processing of sounds to the level of epistemic interactions with the sounding music. These interactions are partly autonomous and partly constrained, but they all stress the realization of systemic cognition in the context of a living system‘s interactions with the environment. As such, listeners can be conceived as adaptive devices, which can build up new semiotic linkages with the sounding world.     

Environmental Indication: A Field Test of an Ecosystem Approach to Quantify Biological Self-Organization

In this study, we take an ecosystem approach to examine the degree of biological self-organization at the ecosystem level. An integrated set of indicators is derived from a theoretical framework and tested by field data from an ecosystem research project focusing on the Bornhöved Lake district in northern Germany. This field test is based on a comparison of the self-organized phenomena that comprise the carbon, water, and energy budgets of two adjacent edaphically and climatically similar ecosystems, that have vastly different levels of human interference—a crop field and a beech forest. In terms of biomass storage, biologically incorporated nitrogen and phosphorus, species number, total ecosystem respiration per total biomass (qCO₂), total ecosystem assimilation per available nutrients, and transpiration per total evapotranspiration, we found clear differences between the systems. Ecosystem surface temperature and R_n/K* were found to be of limited utility in characterizing the two systems. The study is rooted in the concept of ecological integrity, an influential idea at the interface of ecological and environmental debate that has acquired a number of different meanings. Among other interpretations, it can be viewed as a guiding principle for sustainable land use that aims at long-term protection of ecological life-support systems. Effective use of any interpretation of this concept requires a theoretically consistent and applicable set of indicators. Therefore, we also discuss the integration of the indicator set and its potential use in monitoring programs.     

Improving How Evolution Is Taught: Facilitating a Shift from Memorization to Evolutionary Thinking

In North America, public understanding and acceptance of evolution is alarmingly low. Moreover, acceptance rates are declining, and studies suggest that even students who have taken courses in evolution have the same misunderstandings as the general public. These data signal deficiencies in our educational system and provide a “call to arms” to improve how evolution is taught. Many studies show that student education can be improved by replacing lecture-based pedagogy with active learning approaches—where the role of students changes from passive note taking to active problem solving. Here, we describe changes made to a second-year undergraduate evolution course to facilitate a shift to active learning and improve student understanding of evolution. First, lectures were used only sparingly and were largely replaced by problem-solving activities. Second, standard textbooks were replaced by “popular” books applying evolutionary thinking to topics students encounter on a daily basis. Lastly, predefined laboratory exercises were replaced by student-designed and implemented research projects. These changes led to increased student engagement and enjoyment, improved understanding of evolution and ability to apply evolutionary thinking to biological problems, and increased student recognition that evolutionary thinking is important not only in the classroom but also in their daily lives.     

Directed Evolution: An Approach to Engineer Enzymes

ABSTRACT

Directed evolution is being used increasingly in industrial and academic laboratories to modify and improve commercially important enzymes. Laboratory evolution is thought to make its biggest contribution in explorations of non-natural functions, by allowing us to distinguish the properties nurtured by evolution. In this review we report the significant advances achieved with respect to the methods of biocatalyst improvement and some critical properties and applications of the modified enzymes. The application of directed evolution has been elaborately demonstrated for protein solubility, stability and catalytic efficiency. Modification of certain enzymes for their application in enantioselective catalysis has also been elucidated. By providing a simple and reliable route to enzyme improvement, directed evolution has emerged as a key technology for enzyme engineering and biocatalysis.     

The Evolution of Integration of Biological Systems: An Evolutionary Perspective through Studies on Cells, Tissues, and Organs

Biologists are integrating studies of morphology, development,physiology,and other disciplines in order to understand howspecies and lineages diversify and cope with their environments.An evolutionary perspective in such studies, including thoseof cells, tissues, and organs, is potentially useful for thestructure and analysis of such problems. Evolutionary biologyis the study of the history of evolution and the elucidationof its mechanisms. Comparative biology is the comparison ofa trait or traits in selected taxa, and may be, but need notbe, evolutionary in approach. A phylogenetic hypothesis is necessaryfor reconstruction of pattern in morphology, ecology, behavior,and other areas. Acquaintance with evolutionary and phylogeneticperspectives can guide selection of taxa for study and opennew approaches to analysis of data. Such an approach is notalways appropriate to problems in biology, but it could be utilizedbeneficially more frequently than is currently practiced. Studiesof cells, tissues, and organs may contribute to the constructionof new phylogenetic hypotheses and to analysis of patterns andmechanisms of change when pursued from an evolutionary perspective