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[
1987]
The concept of developmentally programmed senescence has been outlined by Leonard Hayflick (this volume), and examples from development have been used as exemplars of "developmentally programmed senescence" (Richard Russell, this volume). Unlike development, senescence has probably evolved in the absence of direct selection for increased longevity, perhaps as a direct result of the absence of such selection. (For an excellent review see Charlesworth.) A popular evolutionary model that has received experimental support suggests that senescence may result from pleiotropic effects of selection for adaptive life history characteristics. In the literature on aging, less rigorous arguements have been used to suggest that in human evolution, a delay in the age of senescence has been indirectly selected for by means of so-called longevity assurance or longevity-determinant genes. However, all explanations for the evolution of senescence are theoretical, and, with few exceptions, remain largely untested. Like Dr. Hayflick and Russell, I will assume that by developmental programming we mean genetic specification. I will use a general definition so as not to preclude examples that fail to meet one or more of the rigid criteria defined by Russell (this volume). This less rigid definition of programmed aging is necessary, because unlike development, where genetics has been successfully applied for 50 years, examples of genetic specification of senescent processes are quite few. In the literature on aging, it is still not widely accepted that mutants can alter fundamental patterns of senescent events in well-defined ways. One purpose of this presentation is to outline a few examples. In senescence, large batteries of new genes are not differentially regulated; this is quite unlike development, where many genes are differentially regulated. The molecular etiology of senescence is unknown in almost every instance and, as such, makes the study of aging a fascinating area for inquiry. If senescence is unlike development in lacking differential gene regulation, what are the approaches that are likely to yield useful results in the analysis of senescence and the aging process? The developmental genetic paradigm is a useful, indeed essential, theoretical construct for approaching the aging process in an experimental context. The lack of a suitable model organism in which classical and molecular genetics can be productively combined with other experimental techniques has impeded our understanding of senescence. Despite a general lack of evidence for genetic specification, there are instances where genetic specification is clearly evident; the analysis of mutational events that alter normal senescence in well-defined ways demonstrates this point. These instances also provide experimental models for dissecting the aging
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[
Methods Cell Biol,
1995]
ACeDB (A Caenorhabditis elegans Data Base) is a data management and display system that contains a wide range of genomic and other information about C. elegans. This chapter provides an overview of ACeDB for the C. elegans user, focusing in particular on the Macintosh version Macace. Previous reviews of AceDB include those of Thierry-Mieg and Durbin (1992) and Durbin and Thierry-Mieg (1994), which describe the general properties of the whole system, and that by Dunham et al. (1994), which discussed the use of AceDB for physical map data collection and assembly. ACeDB was developed by Jean Thierry-Mieg and Richard Durbin primarily for the C. elegans project, when the genomic sequencing project was just beginning in 1990. The original aim was to create a single database that integrated the genetic and physical maps with both genomic sequence data and the literature references. The forerunner of ACeDB was the program CONTIG9 (Sulston et al., 1988), which was developed to maintain and edit the physical map. CONTIG9 served researchers around the world by providing critical on-line access to the current physical map as it was being constructed (Coulson et al., 1986). This policy of immediate access allowed members of the worm community to see the same data as the people making the map, and proved very successful in maximizing use of the map. The same approach was adopted as a template for ACeDB. These two principles, developing a comprehensive database for all types of genomic and related data and providing public access to the data in the same form as used by the data-collecting laboratories, have continued to underlie developments of ACeDB. Over the last 5 years, a wide range of genome projects relating to other organisms have taken the ACeDB program and used it to develop databases for their own data. ACeDB has been used both in public projects designed to redistribute public data in a coordinated fashion and laboratory-based projects for collecting new data. Others, such as the C. elegans ACeDB, have used the database for both purposes. The reason it has been possible to adapt ACeDB so widely is that its flexible data structure allows new types of objects and new types of information about these objects to be added easily. This chapter describes (1) how to obtain ACeDB and documentation for it, (2) how to access and use the information in ACeDB, and (3) how to use ACeDB as a laboratory-based data managing system. Some of what we discuss is specific to the nematode database, but other information applies to the basic computer software program and, hence, to any database using the ACeDB program.
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[
1960]
For the purpose of the present chapter the noun 'cultivation' is to be taken as the maintenance, in the laboratory, of a population of organisms belonging to a desired species through successive generations and subcultures over a prolonged period of time (weeks, months, or years). This is a deliberate restriction of the term. The noun 'culture' is most aptly used for a population within a circumscribed vessel or container (test-tube, Petri dish, U.S. Bureau of Plant Industry watch glass, etc.); it is also used in a looser, more general way (as "in culture") to cover conditions of substantial growth whether or not leading to cultivation in the strict sense
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[
Methods Cell Biol,
1995]
Geneticists like to point out that the ultimate test of a proposed function for a gene and its encoded product (or products) in a living organism involves making a mutant and analyzing its phenotype. This is the goal of reverse genetics: a gene is cloned and sequenced, its transcripts and protein coding sequence are analyzed, and a function may be proposed; one must then introduce a mutation in the gene in a living organism to see what the functional consequences are. The analysis of genetic mosaics takes this philosophy a step further. In mosaics, some cells of an individual are genotypically mutant and other cells are genotypically wild type. One then asks what the phenotypic consequences are for the living organism. This is not the same as asking what cells transcribe the gene or in what cells the protein product of the gene is to be found, but rather it is asking in what cells the wild-type gene is needed for a given function...
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[
1990]
Induction of the C. elegans vulva is a simple example of pattern formation in which the combined action of two intercellular signals specifies three cell types in a precise spatial pattern. These two signals, a graded inductive signal and a short-range lateral signal, are each mediated by a distinct genetic pathway. To understand how these intercellular signals specify cell type, we are studying, by genetic analysis and molecular cloning, genes whose products are involved in the induction pathway.
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[
2000]
Computer tracking of Caenorhabditis elegans, a free-living soil nematode, is a promising tool to assess behavioral changes upon exposure to contaminants. A short life cycle, a known genetic make-up, thoroughly studied behavior, and a completely mapped nervous system make C. elegans an attractive soil test organism with many advantages over the commonly used earthworm. Although many toxicity tests have been performed with C. elegans, the majority focused on mortality, a much less sensitive endpoint than behavior. A computer tracking system has been developed to monitor behavioral changes using C. elegans. Because conditions unrelated to specific toxicant exposures, such as changes in temperature, developmental stage, and presence of adequate food sources, can affect behavior, there is a need to standardize tracking procedures. To this end, we have developed reference charts for control movement comparing the movement of four and five day-old adult nematodes. The use of K-medium versus deionized (DI) H2O for pre-tracking rinses was also investigated. A final reference chart compared the behavioral responses of nematodes at various food densities (i.e. bacterial concentrations).
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[
Methods Cell Biol,
1995]
The number of easily distinguishable mutant phenotypes in Caenorhabditis elegans is relatively small, and this constrains the number of factors that can be followed in standard genetic crosses. Consequently, a new mutation is mapped, first to a chromosome using two-factor data from one or more crosses, and then to a chromosomal subregion by successive three-factor crosses. Mapping would be more efficient if it were possible to score a large number of well-distributed markers in a single cross. The advent of the polymerase chain reaction makes this approach feasible by allowing polymorphic genomic regions to serve as genetic markers that are easily scored in DNA released from individual animals. The only "phenotype" is a band on a gel, so the segregation of many of these markers can be followed in a single cross. Following the terminology proposed by Olsen et al. (1989), we refer to polymorphisms that can be scored by appropriately designed polymerase chain reaction (PCR) assays as polymorphic seqeunce-tagged sites (STSs)...
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[
1985]
At first sight the inclusion of a chapter on Caenorhabditis elegans in a volume on cell biology may seem unusual. However this nematode has been a superb model system for a number of cell biology studies as well as a useful model of aging. This widespread interest in C. elegans is engendered in large part by its genetic system and its optical clarity in Nomarski phase-contrast optics. Nematodes have long been a system in wide use among experimental gerontologists, and with the introduction of C. elegans by Brenner in 1974, this species has become the nematode of choice for most aging studies. We concentrate primarily on C. elegans in this review although a number of other speices, including Caenorhabditis briggsae, Turbatrix aceti, and Panagrellus redivivus, have been used in aging studies also. Other reviews on aging in C. elegans have appeared recently, including a more detailed review in another volume of this series.
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[
Lecture Notes in Computer Science,
2008]
One of the most tractable organisms for the study of nervous systems is the nematode Caenorhabditis elegans, whose locomotion in particular has been the subject of a number of models. In this paper we present a first integrated neuro-mechanical model of forward locomotion. We find that a previous neural model is robust to the addition of a body with mechanical properties, and that the integrated model produces oscillations with a more realistic frequency and waveform than the neural model alone. We conclude that the body and environment are likely to be important components of the worms locomotion subsystem.
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[
WormBook,
2005]
Synaptogenesis is a process involving the formation of a neurotransmitter release site in the presynaptic neuron and a receptive field at the postsynaptic partners, and the precise alignment of pre- and post-synaptic specializations. In C. elegans synapses are found as en passant axonal swellings along the nerve processes. Genetic screens using a synaptic vesicle-associated GFP marker have identified key players in synaptic target recognition and organization of the presynaptic terminals. Importantly, the functions of most genes are evolutionarily conserved. Further studies using a combination of genetic modifier screens and reverse genetics have begun to reveal the underlying signaling pathways.