[
Sci Aging Knowledge Environ,
2002]
This article reviews key events in the genetic analysis of aging in the worm. The events are presented in the form of a timeline and include landmark papers, key meetings, and the development of important funding agencies. I also speculate on events that might appear in this timeline if this review were written in the distant future.
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Genetics,
2014]
THE Genetics Society of America's Thomas Hunt Morgan Medal is awarded to an individual GSA member for lifetime achievement in the field of genetics. The 2014 recipient is Frederick Ausubel, whose 40-year career has centered on host-microbe interactions and host innate immunity. He is widely recognized as a key scientist responsible for establishing the modern postrecombinant DNA field of host-microbe interactions using simple nonvertebrate hosts. He has used genetic approaches to conduct pioneering work that spawned six related areas of research: the evolution and regulation of Rhizobium genes involved in symbiotic nitrogen fixation; the regulation of Rhizobium genes by two-component regulatory systems involving histidine kinases; the establishment of Arabidopsis thaliana as a worldwide model system; the identification of a large family of plant disease resistance genes; the identification of so-called multi-host bacterial pathogens; and the demonstration that Caenorhabditis elegans has an evolutionarily conserved innate immune system that shares features of both plant and mammalian immunity.
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Genetics,
2015]
A little over 50 years ago, Sydney Brenner had the foresight to develop the nematode (round worm) Caenorhabditis elegans as a genetic model for understanding questions of developmental biology and neurobiology. Over time, research on C. elegans has expanded to explore a wealth of diverse areas in modern biology including studies of the basic functions and interactions of eukaryotic cells, host-parasite interactions, and evolution. C. elegans has also become an important organism in which to study processes that go awry in human diseases. This primer introduces the organism and the many features that make it an outstanding experimental system, including its small size, rapid life cycle, transparency, and well-annotated genome. We survey the basic anatomical features, common technical approaches, and important discoveries in C. elegans research. Key to studying C. elegans has been the ability to address biological problems genetically, using both forward and reverse genetics, both at the level of the entire organism and at the level of the single, identified cell. These possibilities make C. elegans useful not only in research laboratories, but also in the classroom where it can be used to excite students who actually can see what is happening inside live cells and tissues.
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Stud Hist Philos Biol Biomed Sci,
2012]
This paper argues that the history of the computer, of the practice of computation and of the notions of 'data' and 'programme' are essential for a critical account of the emergence and implications of data-driven research. In order to show this, I focus on the transition that the investigations on the worm C. elegans experienced in the Laboratory of Molecular Biology of Cambridge (UK). Throughout the 1980s, this research programme evolved from a study of the genetic basis of the worm's development and behaviour to a DNA mapping and sequencing initiative. By examining the changing computing technologies which were used at the Laboratory, I demonstrate that by the time of this transition researchers shifted from modelling the worm's genetic programme on a mainframe apparatus to writing minicomputer programs aimed at providing map and sequence data which was then circulated to other groups working on the genetics of C. elegans. The shift in the worm research should thus not be simply explained in the application of computers which transformed the project from hypothesis-driven to a data-intensive endeavour. The key factor was rather a historically specific technology-in-house and easy programmable minicomputers-which redefined the way of achieving the project's long-standing goal, leading the genetic programme to co-evolve with the practices of data production and distribution.