保护生物学概要

保护生物学的形成是对生物危机的反应和生物科学迅速发展的结果。它是应用科学解决由于人类活动干扰或其它因素引起的物种、群落和生态系统出现的问题的新学科。其”目的是提供保护生物多样性的原理和工具“,其基础科学和应用科学的综合性交叉学科。系统学、生态学、生物地理学和种群生态学的原理和方法是保护生物学重要的理论和实践基础。     

The urgency of building global capacity for biodiversity science

The biodiversity sciences represent the disciplines of whole-organism biology, including systematics, ecology, population biology, behaviour and the fields of comparative biology. The biodiversity sciences are critically important to society because it is knowledge of whole-organisms that is essential for managing and conserving the world's species. Because of an acceleration in environmental degradation and global biodiversity loss in recent decades, the need for the biodiversity sciences has never been more urgent. Yet, biodiversity science is not well supported relative to other fields of science, and thus the need for knowledge about organisms and their environment is far outstripping biologists' ability to provide it. National and international capacity for biodiversity science must therefore be increased substantially. Each nation should establish a national biodiversity research programme coordinated across all government agencies. An international biodiversity research programme should also be established, perhaps with an organizational structure that parallels the International Geosphere-Biosphere Programme. Biodiversity scientists must assume a leadership role in educating the public and bringing about policy changes that will enhance our understanding of the world's species and their ecosystems.     

Physiology, biomedicine, medicine

The physiology throughout centuries was considered as the basic fundamental science in medicine. Rapid development of molecular biology, genetics and of some other natural sciences in 2nd half XX demanded century not only the answer to a question on the sciences defining the base of development of medicine, but also key problems of its progress. The biomedicine is formed, its methods are discussed, is frequent in system of natural sciences, parities with physiology. The special attention is given unconditional necessity of finding-out of molecular mechanisms of functions, targets of action of physiologically active substances and obligatory correlation of data of modeling with the same processes in conditions in vivo in whole body. The role of various sciences in the decision of fundamental problems of medicine, a place and role of physiology in modern medicine is shown.     

'Molecules and monkeys': George Gaylord Simpson and the challenge of molecular evolution

In this paper, I analyze George Gaylord Simpson's response to the molecularization of evolutionary biology from his unique perspective as a paleontologist. I do so by exploring his views on early attempts to reconstruct phylogenetic relationships among primates using molecular data. Particular attention is paid to Simpson's role in the evolutionary synthesis of the 1930s and 1940s, as well as his concerns about the rise of molecular biology as a powerful discipline and world-view in the 1960s. I argue that Simpson's belief in the supremacy of natural selection as the primary driving force of evolution, as well as his view that biology was a historical science that seeks ultimate causes and highlights contingency, prevented him from acknowledging that the study of molecular evolution was an inherently valuable part of the life sciences.     

Practising Conservation Biology in a Virtual Rainforest World

The interdisciplinary science of conservation biology provides undergraduate biology students with the opportunity to connect the biological sciences with disciplines including economics, social science and philosophy to address challenging conservation issues. Because of its complexity, students do not often have the opportunity to practise conservation biology. To increase exposure to this science, this paper describes a virtual rainforest island on which students collect data related to forest carbon storage, while also confronting ethical issues. Students are asked to independently make decisions, collect data and explore the island before writing a research report with recommendations for the future management of the island’s forests. The ethics of decision-making are addressed in the students’ research reports and are reinforced through guided class discussion. Students will complete this activity with increased ethical awareness, as well as a better understanding of the challenges associated with the practise of conservation biology.     

The Mathematical Basis of Mendelian Genetics

In a climate where increasing numbers of students are encouraged to pursue post-secondary education, the level of preparedness students have for college-level coursework is not far from the minds of all educators, especially high school teachers. Specifically within the biological sciences, introductory biology classes often serve as the gatekeeper or a pre-requisite for subsequent coursework in those fields and pre-professional programmes (eg pre-medicine or pre-veterinarian). Thus, how helpful high school science and mathematics experiences are in preparing students for their introductory biology classes is important and relevant for teachers, science educators and policy makers alike. This quantitative study looked at the association between students' high school science and mathematics experiences with introductory college biology performance. Using a nationally representative sample of US students (n?=?2667) enrolled in 33 introductory college biology courses, a multi-level statistical model was developed to analyse the association between high school educational experiences and the final course grade in introductory biology courses. Advanced high school science and mathematics coursework, an emphasis on a deep conceptual understanding of biology concepts and a prior knowledge of concepts addressed in well-structured laboratory investigations are all positively associated with students' achievement in introductory college biology.     

Systems biology in animal sciences

Systems biology is a rapidly expanding field of research and is applied in a number of biological disciplines. In animal sciences, omics approaches are increasingly used, yielding vast amounts of data, but systems biology approaches to extract understanding from these data of biological processes and animal traits are not yet frequently used. This paper aims to explain what systems biology is and which areas of animal sciences could benefit from systems biology approaches. Systems biology aims to understand whole biological systems working as a unit, rather than investigating their individual components. Therefore, systems biology can be considered a holistic approach, as opposed to reductionism. The recently developed 'omics' technologies enable biological sciences to characterize the molecular components of life with ever increasing speed, yielding vast amounts of data. However, biological functions do not follow from the simple addition of the properties of system components, but rather arise from the dynamic interactions of these components. Systems biology combines statistics, bioinformatics and mathematical modeling to integrate and analyze large amounts of data in order to extract a better understanding of the biology from these huge data sets and to predict the behavior of biological systems. A 'system' approach and mathematical modeling in biological sciences are not new in itself, as they were used in biochemistry, physiology and genetics long before the name systems biology was coined. However, the present combination of mass biological data and of computational and modeling tools is unprecedented and truly represents a major paradigm shift in biology. Significant advances have been made using systems biology approaches, especially in the field of bacterial and eukaryotic cells and in human medicine. Similarly, progress is being made with 'system approaches' in animal sciences, providing exciting opportunities to predict and modulate animal traits.     

Scientific progress specific to biology: An epistemological overview

Progresses in leading edge life sciences are undeniable, but there is more to it: from an epistemological perspective, they rest on a paradox vitalizing the very project of biology. Making our understanding of organic functioning all the more objective, life sciences yet exploit a paradigm which structurally rules out any opportunity to explain why biological phenomena are explainable the way we claim they are. As such a blind spot is constitutive of the disciplinary boundaries that condition and permit objective modelling, evolutions in scientists' mode of thought (i.e. paradigm shifts) may require at crucial points some interaction with epistemologists or historians of sciences. The model case of ontophylogenesis thus shows not only how such cooperation can be useful (both in normal science and in transitional contexts), but mostly why it plays a role in helping biology to get out of its intrinsic paradox. The most innovative feature of ontophylogenesis would thus be the following: to give account for the mode of intelligibility it chose by explaining it - in a truly Darwinian manner -in the core of the theory. Though this epistemic move definitely confirms biology to be an autonomous science as long as it faces its constitutive paradox, the methodological detour such realization implied would go through occasional interplay with "exclusively reflexive approaches" - that is to say, humanities.     

Recent science and its exploration: the case of molecular biology

This paper is about the interaction and the intertwinement between history of science as a historical process and history of science as the historiography of this process, taking molecular biology as an example. In the first part, two historical shifts are briefly characterized that appear to have punctuated the emergence of molecular biology between the 1930s and the 1980s, one connected to a new generation of analytical apparatus, the other to properly molecular tools. The second part concentrates on the historiography of this development. Basically, it distinguishes three phases. The first phase was largely dominated by accounts of the actors themselves. The second coincided with the general ‘practical turn’ in history of science at large, and today’s historical appropriations of the molecularization of the life sciences appear to be marked by the changing disciplinary status of the science under review. In a closing remark, an argument is made for differentiating between long-range, middle-range and short-range perspectives in dealing with the history of the sciences.     

Bioinformatics

Bioinformatics is an interdisciplinary field that blends computer science and biostatistics with biological and biomedical sciences such as biochemistry, cell biology, developmental biology, genetics, genomics, and physiology. An important goal of bioinformatics is to facilitate the management, analysis, and interpretation of data from biological experiments and observational studies. The goal of this review is to introduce some of the important concepts in bioinformatics that must be considered when planning and executing a modern biological research study. We review database resources as well as data mining software tools.     

A review of the use of the brine shrimp,Artemia spp,for teaching practical biology in schools and colleges

Brine shrimps are salt water Crustacea that are cheaply, easily, and rapidly reared in schools. In several studies they have proved to be attractive to pupils and valuable for teaching ecology and animal behaviour. Using simple and inexpensive apparatus such as plastic bottles, pipettes, sieves, and magnifiers pupils may investigate their feeding, growth, and development, observe reproductive behaviour and, by means of planned investigations, learn important lessons in animal ecology. Brine shrimps have a demonstrated usefulness for teaching and learning at every level of education — from primary, through secondary science, to undergraduate biology project work. In school, brine shrimps present fewer ethical problems than those posed by the keeping of many other laboratory animals, yet at the same time give opportunity for ethical discussion. The extensive utilitarian use of brine shrimps in research and fisheries may provide a technical and commercial link to classroom science.     

Trends in computational biology: a summary based on a RECOMB plenary lecture, 1999.

Computational biology, a term coined from analogy to the role of computing in the physical sciences, is now coming into its own as a major element of contemporary biological and biomedical research. Information science and computational science provide essential tools for next generation biological science efforts, from focusing the direction of experimental studies to providing knowledge and insight that can not otherwise be obtained. Going beyond the revolution in biology reflected in the successes of the genome project and driven by the power of molecular biology techniques, computational approaches will provide an underpinning for the integration of broad disciplines for development of a quantitative systems approach to understanding the mechanisms in the life of the cell.     

Bringing bioinformatics to schools with the 4273pi project

Over the last few decades, the nature of life sciences research has changed enormously, generating a need for a workforce with a variety of computational skills such as those required to store, manage, and analyse the large biological datasets produced by next-generation sequencing. Those with such expertise are increasingly in demand for employment in both research and industry. Despite this, bioinformatics education has failed to keep pace with advances in research. At secondary school level, computing is often taught in isolation from other sciences, and its importance in biological research is not fully realised, leaving pupils unprepared for the computational component of Higher Education and, subsequently, research in the life sciences. The 4273pi Bioinformatics at School project (https://4273pi.org) aims to address this issue by designing and delivering curriculum-linked, hands-on bioinformatics workshops for secondary school biology pupils, with an emphasis on equitable access. So far, we have reached over 180 schools across Scotland through visits or teacher events, and our open education resources are used internationally. Here, we describe our project, our aims and motivations, and the practical lessons we have learned from implementing a successful bioinformatics education project over the last 5 years.     

Laws, causation, and explanation in the special sciences

There is the general philosophical question concerning the relationship between physics, which is often taken to be our fundamental and all-encompassing science, on one hand and the special sciences, such as biology and psychology, each of which deals with phenomena in some specially restricted domain, on the other. This paper deals with a narrower question: Are there laws in the special sciences, laws like those we find, or expect to find, in basic physics? Three arguments that are intended to show that there are no such laws are presented and examined. The paper ends with brief remarks concerning the implications of these arguments for explanation and causation in the special sciences.     

Learning developmental biology has priority in the life sciences curriculum in Singapore

Singapore has embraced the life sciences as an important discipline to be emphasized in schools and universities. This is part of the nation's strategic move towards a knowledge-based economy, with the life sciences poised as a new engine for economic growth. In the life sciences, the area of developmental biology is of prime interest, since it is not just intriguing for students to know how a single cell can give rise to a complex, coordinated, functional life that is multicellular and multifaceted, but more importantly, there is much in developmental biology that can have biomedical implications. At different levels in the Singapore educational system, students are exposed to various aspects of developmental biology. The author has given many guest lectures to secondary (ages 12-16) and high school (ages 17-18) students to enthuse them about topics such as embryo cloning and stem cell biology. At the university level, some selected topics in developmental biology are part of a broader course which caters for students not majoring in the life sciences, so that they will learn to comprehend how development takes place and the significance of the knowledge and impacts of the technologies derived in the field. For students majoring in the life sciences, the subject is taught progressively in years two and three, so that students will gain specialist knowledge in developmental biology. As they learn, students are exposed to concepts, principles and mechanisms that underlie development. Different model organisms are studied to demonstrate the rapid advances in this field and to show the interconnectivity of developmental themes among living things. The course inevitably touches on life and death matters, and the social and ethical implications of recent technologies which enable scientists to manipulate life are discussed accordingly, either in class, in a discussion forum, or through essay writing.     

An integrated,modular approach to data science education in microbiology

We live in an increasingly data-driven world, where high-throughput sequencing and mass spectrometry platforms are transforming biology into an information science. This has shifted major challenges in biological research from data generation and processing to interpretation and knowledge translation. However, postsecondary training in bioinformatics, or more generally data science for life scientists, lags behind current demand. In particular, development of accessible, undergraduate data science curricula has the potential to improve research and learning outcomes as well as better prepare students in the life sciences to thrive in public and private sector careers. Here, we describe the Experiential Data science for Undergraduate Cross-Disciplinary Education (EDUCE) initiative, which aims to progressively build data science competency across several years of integrated practice. Through EDUCE, students complete data science modules integrated into required and elective courses augmented with coordinated cocurricular activities. The EDUCE initiative draws on a community of practice consisting of teaching assistants (TAs), postdocs, instructors, and research faculty from multiple disciplines to overcome several reported barriers to data science for life scientists, including instructor capacity, student prior knowledge, and relevance to discipline-specific problems. Preliminary survey results indicate that even a single module improves student self-reported interest and/or experience in bioinformatics and computer science. Thus, EDUCE provides a flexible and extensible active learning framework for integration of data science curriculum into undergraduate courses and programs across the life sciences.     

Demystifying computer science for molecular ecologists

In this age of data‐driven science and high‐throughput biology, computational thinking is becoming an increasingly important skill for tackling both new and long‐standing biological questions. However, despite its obvious importance and conspicuous integration into many areas of biology, computer science is still viewed as an obscure field that has, thus far, permeated into only a few of the biology curricula across the nation. A national survey has shown that lack of computational literacy in environmental sciences is the norm rather than the exception [Valle & Berdanier (2012) Bulletin of the Ecological Society of America, 93, 373–389]. In this article, we seek to introduce a few important concepts in computer science with the aim of providing a context‐specific introduction aimed at research biologists. Our goal was to help biologists understand some of the most important mainstream computational concepts to better appreciate bioinformatics methods and trade‐offs that are not obvious to the uninitiated.     

Models in biology: form and function

The relationships between physical and biological sciences are important in science education. This is shown in the links between the structure of biological science and the use of models. Although the physical sciences contain many principles of wide application, much of biology consists of very distinct examples. When these examples are used as models of organisms or processes, misunderstanding can occur if the characteristics of the model are used to make inaccurate generalizations. In biological education, stress on the importance of unique features must continually accompany the demonstration of similarities.

Theoretical models are constructed and reconstructed by students learning science, particularly in relation to broadly applicable principles. In biology a student may build a theoretical model of a subject which is itself a model used as an example. Distinct features of biological science may influence a variety of learning situations including problem solving.