How Evolutionary Biology Presently Pervades Cell and Molecular Biology

2010 ◽  
pp. 59-66
Author(s):  
Michel Morange
Keyword(s):  
Molecular Biology ◽  
Evolutionary Biology

Evolutionary biology and epistemology

2006 ◽  
Vol 49 (1-2) ◽  
pp. 11-19
Author(s):  
Aleksej Tarasjev
Keyword(s):  
Social Sciences ◽  
Molecular Biology ◽  
Evolutionary Biology ◽  
Evolutionary Epistemology ◽  
The Other ◽  
Modern Biology ◽  
Other Hand ◽  
Further Development ◽  
Epistemological Basis

Foundation and further development of modern biology raised many epistemological questions and biology was often criticized on that ground. There has been attempts, especially after emergence of molecular biology, to reduce biology to physics and chemistry. Epistemological basis of modern biology were also under ideologically motivated attacks from various positions. On the other hand, there were also attempts to reduce psychology and social sciences to biology. Finally, there were attempts to biologize epistemology itself through so-called evolutionary epistemology. Concise presentation of all that aspects of relationship between epistemology and biology is given.

Molecular studies of animal systems/Études au niveau moléculaire des systèmes animaux: Introduction

1988 ◽  
Vol 66 (12) ◽  
pp. 2590-2590
Author(s):  
J. J. Pasternak
Keyword(s):  
Molecular Biology ◽  
Evolutionary Biology ◽  
Molecular Level ◽  
Research Strategies ◽  
Research Topics ◽  
Free Living ◽  
Biological Interest ◽  
Molecular Studies ◽  
Research Programmes ◽  
Free Living Nematode

The 26th annual meeting of the Canadian Society of Zoologists, held in May 1987, included a symposium entitled Molecular Studies of Animal Systems. Certainly, a recent and pervasive research thrust in the study of animals has been the accessibility of molecular biology techniques to complement existing research strategies. In organizing this session, Dr. Marilyn Scott had two major objectives: first, to demonstrate how studies at the molecular level facilitate an understanding of the biology of animals and second, to use examples of research programmes that would be of interest to zoologists, in particular those concerned with insect and fish physiology, parasitology, and evolutionary biology. An attempt was made to provide some breadth without being too divergent. The specific research topics derived from the original lectures and included in this issue of the Canadian Journal of Zoology describe and discuss (i) molecular commonality of cuticular and genomic structures between a free-living nematode and a parasitic one, (ii) regulation of vitellogenesis in the locust, and (iii) characterization at the molecular level of fish antifreeze proteins. These papers illustrate how various molecular biology methodologies can be used to resolve problems of biological interest.

Computational Biology

2011 ◽  
pp. 641-646
Author(s):  
Andrew LaBrunda ◽  
Michelle LaBrunda
Keyword(s):  
Systems Biology ◽  
Molecular Biology ◽  
Computational Biology ◽  
Computer Science ◽  
Structure Prediction ◽  
Evolutionary Biology ◽  
Deterministic Model ◽  
Computational Genomics ◽  
Exact Moment ◽  
And Mathematics

It is impossible to pinpoint the exact moment at which computational biology became a discipline of its own, but one could say that it was in 1997 when the society of computational biology was formed. Regardless of its exact birthday, the research community has rapidly adopted computational biology and its applications are being vigorously explored. The study and application of medicine is a dynamic challenge. Changes in medicine usually take place as a result of new knowledge acquired through observation and experimentation. When a tamping rod 1-inch thick went through Phineas Gage’s head in 1848, his survival gave the medical field an unusual opportunity to observe behavior of a person missing their prefrontal cortex. This observation lead to the short-lived psychosurgical procedure known as a lobotomy, which attempted to change a person’s behavior by separating two portions of a person’s brain (Pols, 2001). Countless observations, experiments and mistakes represent how almost all medical knowledge has been acquired. The relatively new field of computational biology offers a nontraditional approach to contribute to the medical body of knowledge. Computational biology is a new field combining biology, computer science, and mathematics to solve problems that are unworkable with traditional biological techniques. It includes traditional areas such as systems biology, molecular biology, biochemistry, biophysics, statistics, and computer science, as well as recently developed disciplines including bioinformatics and computational genomics. Algorithms, which are able to closely model biological behavior, validate the medical understanding of the observed processes and can be used to model scenarios that might not be able to be physically reproduced. The goal of computational biology is to use mathematics and computer science to model biological systems on the molecular level. Instead of taking on large complex systems, computational biology is starting small, literally. Modeling problems in molecular biology and biochemistry is a far less daunting task. At a microscopic level, patient’s characteristics drop out of the equation and all information behavior affecting is known. This creates a deterministic model which, given the same input, will always produce the same output. Some of the major subdisciplines of computational biology are computational genomics, systems biology, protein structure prediction, and evolutionary biology, all of which model microscopic structures.

scholarly journals Adventures of a Mathematician in Evolutionary Biology

2021 ◽  
Author(s):  
Wen-Hsiung Li
Keyword(s):  
Molecular Evolution ◽  
Molecular Biology ◽  
Genome Evolution ◽  
Evolutionary Biology

Foreword In an occasional series of articles we will be publishing autobiographical sketches from some of those working in the field of genome evolution. The series will feature both the very eminent, but also researchers closer to their start of their career, and those from under-represented groups. The series will show the unusual paths that academics sometimes take and the obstacles they have overcome. We start this series with one of the most influential researchers in the field of molecular evolution, Wen-Hsiung Li. Wen-Hsiung has contributed enormously to the field and published on a wide diversity of topics, as described in this autobiographical sketch; he also wrote two textbooks, one of them with Dan Graur, which for many years were the bibles of the field. He was awarded the Motoo Kimura prize by the Society of Molecular Biology and Evolution in 2019 in recognition of his contributions to our subject.

Teaching Biopolitics: Needs, Experiences, Problems and Prospects

1986 ◽  
Vol 5 (1) ◽  
pp. 14-21 ◽  
Author(s):  
Fred Kort
Keyword(s):  
Molecular Biology ◽  
Systematic Study ◽  
Evolutionary Biology ◽  
Frame Of Reference ◽  
Biological Anthropology ◽  
Political Processes ◽  
Evolution Of Behavior

Biopolitics must be taught in a context that makes it possible for students to acquire competence in at least evolutionary biology, genetics (with the proper molecular biology perspective), biological anthropology, neurobiology, and the evolution of behavior. A more modest beginning may be necessary, however, and actually has been pursued at various institutions.Although a systematic study of experiences in teaching biopolitics has not been prepared, various impressions have been obtained. In spite of some seemingly discouraging situations with respect to biopolitics, expectations that a biobehavioral perspective ultimately will be the principal and pervasive frame of reference for a proper study of political processes and institutions are justified.

Philosophy of Biology

2018 ◽  
Author(s):  
Thomas Pradeu
Keyword(s):  
Natural Selection ◽  
Molecular Biology ◽  
Genetic Programming ◽  
Evolutionary Biology ◽  
Life Sciences ◽  
Philosophy Of Biology ◽  
Selection Problem ◽  
Units Of Selection ◽  
Organismal Development ◽  
Biological Entities

The aim of this chapter is to address the conceptual, theoretical, and methodological questions bearing on the foundations of today’s life sciences. It discusses the main themes of the philosophy of evolutionary biology, asking what is meant by the idea of adaptation and reviewing the various answers to the units of selection problem. The latter considers on which biological entities—genes, genomes, cells, organisms, groups, species, and so forth—natural selection operates and is a nice illustration of how philosophy of biology situates itself at the frontier between philosophy and the most theoretical parts of biology. The chapter also presents recent debates over the notions of genetic programming and organismal development and the reduction of macromolecular biology to molecular biology.

scholarly journals Conservation Genetics and Genomics

Genes ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 318
Author(s):  
Michael Russello ◽  
George Amato ◽  
Robert DeSalle ◽  
Michael Knapp
Keyword(s):  
Population Genetics ◽  
Endangered Species ◽  
Molecular Biology ◽  
Conservation Genetics ◽  
Evolutionary Biology ◽  
Anthropogenic Changes ◽  
Genetics And Genomics

For more than thirty years, methods and theories from evolutionary biology, phylogenetics, population genetics and molecular biology have been used by conservation biologists to better understand threats to endangered species due to anthropogenic changes [...]

scholarly journals Conceptual Delimitations related to the Philosophical Approaches on Synthetic Biology

2020 ◽  
Vol 8 (2) ◽  
pp. 83-104
Author(s):  
Olivia Macovei
Keyword(s):  
Synthetic Biology ◽  
Molecular Biology ◽  
Genetic Engineering ◽  
Evolutionary Biology ◽  
Chemical Engineering ◽  
Technological Development ◽  
Molecular Engineering ◽  
Living Systems ◽  
Organic Life ◽  
Organic Systems

Synthetic biology is an area of ​​technological development and innovative scientific research at the crossroads between biology and technology (bioengineering), that aims to create artificial living systems, either by redesigning living systems that already exist in the natural environment, or by producing organic systems that are quasi-biological, which emulate organic life. A number of research methods and technologies are incorporated in the development of synthetic biology, including genetic engineering, molecular biology and bio-molecular engineering, biophysics, chemical engineering, evolutionary biology, computer and computing engineering, genetics etc. The article aims to analyze the meanings of the term synthetic biology and the technological path that made the emergence of synthetic biology possible, the technological applications of synthetic biology, and starting from all this, to present a series of philosophical perspectives on synthetic biology.

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