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Parasitic and symbiotic infections are major forces governing the life histories of plant and animal hosts-a fact that is ever more evident because of recent findings emanating from diverse subdisciplines of biology. Yet, infectious organisms have been relatively little investigated by biologists who study natural populations. Now that new molecular and computational tools allow us to differentiate and track microscopic infectious agents in nature, we are beginning to establish a better appreciation of their effects on larger, more familiar organisms. This special issue on the ecological and evolutionary consequences of infection for plants and animals is based on the annual Vice Presidential Symposium at the meeting of the American Society of Naturalists held in Knoxville, Tennessee, in the summer of 2001.  相似文献   

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India is gearing up to become an international player in the life sciences, powered by its recent economic growth and a desire to add biotechnology to its portfolio. In this article, we present the history, current state, and projected future growth of biological research in India. To fulfill its aspirations, India''s greatest challenge will be in educating, recruiting, and supporting its next generation of scientists. Such challenges are faced by the US/Europe, but are particularly acute in developing countries that are racing to achieve scientific excellence, perhaps faster than their present educational and faculty support systems will allow.India, like China, has been riding a rising economic wave. At the time of writing this article, four Indians rank among the ten wealthiest individuals in the world, and the middle class is projected to rise to 40% of the population by 2025 (Farrell and Beinhocker, 2007). Even with the present global economic setbacks, India''s economy is expected to grow to become the third largest in the world. India''s recent economic boom has been driven largely by its service and information technology industries, fueled to a large extent by jobs provided by multinational companies. However, this “outsourcing” model is unlikely to persist indefinitely. India''s future must rely upon its own capacity for innovation, which will require considerable investment in education and research.Biotechnology represents a potential sector of economic growth and an important component in India''s national health agenda. Appreciating the important role that biology will play in this century, the Indian government is expanding as well as starting several new biological research institutes, which will open up many new positions for life science researchers. Funds also are becoming available for state-of-the-art equipment, thus decreasing the earlier large disparity in support facilities between the top research institutes in India and the US/Europe. India is becoming an increasingly viable location to conduct biological research and a fertile ground for new biotechnology companies. However, success need not rise in proportion to money invested, unless India attracts and supports its best young people to do research.Many academic centers and industries in the US/Europe are beginning to have an eye on India, the world''s largest democratic country, for possible collaborations. Western institutions have long benefited from having Indian scientists on their faculty or postdoctoral fellows/graduate students in their laboratories (perhaps benefitting more than India itself). However, Western scientists, by and large, know very little about the scientific and educational systems in India. (As was true of authors of this article before we began our 8-month sabbatical at the National Center for Biological Sciences in Bangalore). The goal of this article is to provide a brief historical and contemporary view of the biological sciences in India. We also provide an editorial perspective on the upcoming challenges for the Indian life sciences, with a particular emphasis on how India will grow and support its next generation of scientific leaders.  相似文献   

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Catastrophe Theory was developed in an attempt to provide a form of Mathematics particularly apt for applications in the biological sciences. It was claimed that while it could be applied in the more conventional physical way, it could also be applied in a new metaphysical way, derived from the Structuralism of Saussure in Linguistics and Lévi-Strauss in Anthropology.Since those early beginnings there have been many attempts to apply Catastrophe Theory to Biology, but these hopes cannot be said to have been fully realised.This paper will document and classify the work that has been done. It will be argued that, like other applied Mathematics, applied Catastrophe Theory works best where the underlying laws are securely known and precisely quantified, requiring those same guarantees as does any other branch of Mathematics when it confronts a real-life situation.  相似文献   

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The central aim of this paper consists in arguing that biological organisms realize a specific kind of causal regime that we call "organisational closure"; i.e., a distinct level of causation, operating in addition to physical laws, generated by the action of material structures acting as constraints. We argue that organisational closure constitutes a fundamental property of biological systems since even its minimal instances are likely to possess at least some of the typical features of biological organisation as exhibited by more complex organisms. Yet, while being a necessary condition for biological organization, organisational closure underdetermines, as such, the whole set of requirements that a system has to satisfy in order to be taken as a paradigmatic example of organism. As we suggest, additional properties, as modular templates and control mechanisms via dynamical decoupling between constraints, are required to get the complexity typical of full-fledged biological organisms.  相似文献   

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ABSTRACT

Teaching scientific writing in biology classes is challenging for both teachers and students. This article offers and reviews several useful ‘toolkit’ items that instructors of science writing can use to improve college student success. The tools in this kit are both conceptual and practical, and include: 1) Understanding the role of student metacognition, cognitive instruction, and strategic teaching, 2) Recognition of different student writing levels, 3) Applying the writing process, 4) Demonstrational classroom revision and editing, 5) Student-teacher sentence editing, 6) Student peer editing and guided student editing, 7) Student copy-editing, 8) Reflective writing, 9) Addressing plagiarism, paraphrasing, and proper in-text citations and referencing, and 10) Using external, on campus and online resources. Additionally, we discuss the new challenges of teaching scientific writing online versus face-to-face. The discussions, approaches, and exercises presented in this paper empower teachers in assisting students in their development of a personal writing style, while simultaneously building student confidence. The tools we present augment our previous presentation of the student writing toolkit, and can improve and enhance the teaching of scientific writing to undergraduate students.  相似文献   

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Scanning force microscopy in the applied biological sciences   总被引:3,自引:0,他引:3  
Fifteen years after its invention, the scanning force microscope (SFM) is rooted deep in the biological sciences. Here we discuss the use of SFM in biotechnology and biomedical research. The spectrum of applications reviewed includes imaging, force spectroscopy and mapping, as well as sensor applications. It is our hope that this review will be useful for researchers considering the use of SFM in their studies but are uncertain about its scope of capabilities. For the benefit of readers unfamiliar with SFM technology, the fundamentals of SFM imaging and force measurement are also briefly introduced.  相似文献   

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Genomic analyses have revealed that free‐living biological organisms carry between 107 and 1011 bits of information in their genomes. In large organisms with relatively small population sizes, such as humans, only in the order of 1% of the genomic information is shaped by the environment via natural selection. A much larger amount of information than this is routinely being generated by biomedical researchers, and the rapidly accumulating data is often interpreted to mean that biological systems are extremely complex. However, as the genome is finite in length, it cannot define precisely optimal values for the quantitative parameters of the experimentally identified molecular phenotypes. Furthermore, because the genomic sequences orchestrate a biochemical system that is much more information‐rich than the genome, the vast majority of the measured molecular phenotypes must represent “molecular spandrels”, that is phenotypes that are not independent of each other, and instead co‐determined by the same genomic sequences. These considerations are important in interpreting the results of individual experiments. In addition, they indicate that full understanding of biological systems requires a genome‐centric model that does not abstract away the information contained in the genome, and instead explicitly maps all phenotypic data back to specific genomic sequences.  相似文献   

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