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[
WormBook,
2006]
Early cell lineages and arrangement of blastomeres in C. elegans are similar to the pattern found in Ascaris and other studied nematodes leading to the assumption that embryonic development shows little variation within the phylum Nematoda. However, analysis of a larger variety of species from various branches of the phylogenetic tree demonstrate that prominent variations in crucial steps of early embryogenesis exist among representatives of this taxon. So far, most of these variations have only been studied on a descriptive level and thus essentially nothing is known about their molecular or genetic basis. Nevertheless, it is obvious that the limited morphological diversity of the freshly hatched juvenile and the uniformity of the basic body plan contrast with the many modifications in the way a worm is generated from the egg cell. This chapter focuses on the initial phase between egg activation and gastrulation and deals with the following aspects: reproduction and diploidy, polarity, cleavage and germ line, cell lineages; cell cycles and maternal contribution, cell-cell communication and cell specification, gastrulation.
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[
WormBook,
2005]
C. elegans presents a low level of molecular diversity, which may be explained by its selfing mode of reproduction. Recent work on the genetic structure of natural populations of C. elegans indeed suggests a low level of outcrossing, and little geographic differentiation because of migration. The level and pattern of molecular diversity among wild isolates of C. elegans are compared with those found after accumulation of spontaneous mutations in the laboratory. The last part of the chapter reviews phenotypic differences among wild isolates of C. elegans.
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[
Curr Biol,
1994]
Comparisons between the cell lineages of different nematode species reveal the flexibility of developmental programs over evolutionary time.
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[
Int J Parasitol,
1994]
An absolute pre-requisite for a genetic response to a selective pressure is genetic variation within the population under selection. Helminth populations are clearly able to respond to selective pressures and must, therefore, be genetically heterogeneous. While not quite tautological, this is at best indirect evidence for the existence of genetic variation but there are few examples of well documented helminth phenotypic variation with a proven genetic basis. Isozyme analysis has provided more direct evidence for variation but attempts to link this variation to responses to selection or to identify the forces maintaining that variation have been largely unsuccessful. Thus there is a clear need for new techniques. The recent application of PCR and direct sequencing technology to the study of helminth genetics has allowed the genotypes of individual worms to be determined and the first direct measurements of allele frequencies to be made in this group of organisms. In addition, the application of genetic and molecular data from Caenorhabditis elegans is a potentially rich source of new markers. These techniques do not require that the genetic basis of the phenotype in question be known since a large number of loci can be examined and selection detected through changes in the frequency of anonymous linked marker loci. Phenotypes with complex genetic bases can, therefore, be analysed. I have applied these techniques to the study of anthelmintic resistance genetics and others have applied them to the genetics of inhibited development in Ostertagia. Other phenotypes that are of great interest are the potential for selection of resistance to vaccination and the use of genetically resistant hosts. The ease with which helminths have countered all classes of anthelminitics and the apparently high levels of polymorphism in helminth populations suggest that immunological control methods may also prove to be vulnerable to the adaptive capabilities of the parasite. Evidence from a mouse-helminth model system has already provided evidence that worms can meet the challenge.
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[
Microorganisms,
2020]
The bacterivorous nematode <i>Caenorhabditis elegans</i> is an important model species for understanding genetic variation of complex traits. So far, most studies involve axenic laboratory settings using <i>Escherichia coli</i> as the sole bacterial species. Over the past decade, however, investigations into the genetic variation of responses to pathogenic microbiota have increasingly received attention. Quantitative genetic analyses have revealed detailed insight into loci, genetic variants, and pathways in <i>C. elegans</i> underlying interactions with bacteria, microsporidia, and viruses. As various quantitative genetic platforms and resources like <i>C. elegans</i> Natural Diversity Resource (CeNDR) and Worm Quantitative Trait Loci (WormQTL) have been developed, we anticipate that expanding <i>C. elegans</i> research along the lines of genetic variation will be a treasure trove for opening up new insights into genetic pathways and gene functionality of microbiota interactions.
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[
Neuron,
1998]
The question of how genes contribute to normal individual differences in behavior has captured our imagination for more than a century. Several fundamental questions come to mind. How do genes and their proteins act in the nervous system and in response to the environment in order to cause individual differences in behavior? Do genetic differences between natural variants arise from alterations in the structural or regulatory region of a gene? Can we predict which genes for behavior, identified by mutant analysis in the laboratory, will have natural allelic variation? Three groundbreaking studies (Osborne et al., 1997; Sawyer et al., 1997; de Bono and Bargmann, 1998) published in the past year demonstrate that we now have the knowledge and technological capability to address these questions empirically. Each study has successfully identified a single major gene for a given behavior and, with the aid of transgenic animals, shown that its gene product is responsible for naturally occurring individual differences
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[
Hum Genomics,
2017]
BACKGROUND: Neurodegenerative diseases (NGDs) such as Alzheimer's and Parkinson's are debilitating and largely untreatable conditions strongly linked to age. The clinical, neuropathological, and genetic components of NGDs indicate that neurodegeneration is a complex trait determined by multiple genes and by the environment. MAIN BODY: The symptoms of NGDs differ among individuals due totheir genetic background, and this variation affects the onset and progression of NGD and NGD-like states. Such genetic variation affects the molecular and cellular processes underlying NGDs, leading to differential clinical phenotypes. So far, we have a limited understanding of the mechanisms of individual background variation. Here, we consider how variation between genetic backgrounds affects the mechanisms of aging and proteostasis in NGD phenotypes. We discuss how the nematode Caenorhabditis elegans can be used to identify the role of variation between genetic backgrounds. Additionally, we review advances in C. elegans methods that can facilitate the identification of NGD regulators and/or networks. CONCLUSION: Genetic variation both in disease genes and in regulatory factors that modulate onset and progression of NGDs are incompletely understood. The nematode C. elegans represents avaluable system in which to address such questions.
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[
Exp Gerontol,
2006]
Aging is generally defined and studied as a population phenomenon. However, there is great interest, especially when discussing human aging, in the identification of factors that influence the life span of an individual organism. The nematode Caenorhabditis elegans provides an excellent model system for the study of aging at the level of the individual, since young nematodes are essentially clonal yet experience a large range of individual life spans. We are conducting gene expression profiling of individual nematodes, with the aim of discovering genes that vary stochastically in expression between individuals of the same age. Such genes are candidates to modulate the ultimate life span achieved by each individual. We here present statistical analysis of gene expression profiles of individual nematodes from two different microarray platforms, examining the issue of technical vs. biological variance as it pertains to uncovering genes of interest in this paradigm of individual aging.
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[
Genet Res (Camb),
2010]
Over the past 30 years, the characteristics that have made the nematode Caenorhabditis elegans one of the premier animal model systems have also allowed it to emerge as a powerful model system for determining the genetic basis of quantitative traits, particularly for the identification of naturally segregating and/or lab-adapted alleles with large phenotypic effects. To better understand the genetic underpinnings of natural variation in other complex phenotypes, C. elegans is uniquely poised in the emerging field of quantitative systems biology because of the extensive knowledge of cellular and neural bases to such traits. However, perturbations in standing genetic variation and patterns of linkage disequilibrium among loci are likely to limit our ability to tie understanding of molecular function to a broader evolutionary context. Coupling the experimental strengths of the C. elegans system with the ecological advantages of closely related nematodes should provide a powerful means of understanding both the molecular and evolutionary genetics of quantitative traits.
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[
Trends Genet,
2008]
Induced mutants in the nematode Caenorhabditis elegans are used to study genetic pathways of processes ranging from aging to behavior. The effects of such mutations are usually analyzed in a single wildtype background: N2. However, studies in other species demonstrate that the phenotype(s) of induced mutations can vary widely depending on the genetic background. Moreover, induced mutations in one genetic background do not reveal the allelic effects that segregate in natural populations and contribute to phenotypic variation. Because other wildtype Caenorhabditis spp., including C. elegans, are now available, we review how current mapping resources and methodologies within and between species support the use of Caenorhabditis spp. for studying genetic variation, with a focus on pathways associated with human disease.