The nematode Caenorhabditis elegans is a powerful model system to study contemporary biological problems. This system would be even more useful if we had mutations in all the genes of this multicellular metazoan. The combined efforts of the C. elegans Deletion Mutant Consortium and individuals within the worm community are moving us ever closer to this goal. At present, of the 20,377 protein-coding genes in this organism, 6764 genes with associated molecular lesions are either deletions or null mutations (WormBase WS220). Our three laboratories have contributed the majority of mutated genes, 6841 mutations in 6013 genes. The principal method we used to detect deletion mutations in the nematode utilizes polymerase chain reaction (PCR). More recently, we have used array comparative genome hybridization (aCGH) to detect deletions across the entire coding part of the genome and massively parallel short-read sequencing to identify nonsense, splicing, and missense defects in open reading frames. As deletion strains can be frozen and then thawed when needed, these strains will be an enduring community resource. Our combined molecular screening strategies have improved the overall throughput of our gene-knockout facilities and have broadened the types of mutations that we and others can identify. These multiple strategies should enable us to eventually identify a mutation in every gene in this multicellular organism. This knowledge will usher in a new age of metazoan genetics in which the contribution to any biological process can be assessed for all genes.
Ecotilling was used as a simple nucleotide polymorphism (SNP) discovery tool to examine DNA variation in natural populations of the western black cottonwood, Populus trichocarpa, and was found to be more efficient than sequencing for large-scale studies of genetic variation in this tree. A publicly available, live reference collection of P. trichocarpa from the University of British Columbia Botanical Garden was used in this study to survey variation in nine different genes among individuals from 41 different populations. A large amount of genetic variation was detected, but the level of variation appears to be less than in the related species, Populus tremula, based on reported statistics for that tree. Genes examined varied considerably in their level of variation, from PoptrTB1 which had a single SNP, to PoptrLFY which had more than 23 in the 1000-bp region examined. Overall nucleotide diversity, measured as (Total), was relatively low at 0.00184. Linkage disequilibrium, on the other hand, was higher than reported for some woody plant species, with mean r2 equal to 0.34. This study reveals the potential of Ecotilling as a rapid genotype discovery method to explore and utilize the large pool of genetic variation in tree species.
About 40% of the genes in the nematode Caenorhabditis elegans have homologs in humans. Based on the history of this model system, it is clear that the application of genetic methods to the study of this set of genes would provide important clues to their function in humans. To facilitate such genetic studies, we are engaged in a project to derive deletion alleles in every gene in this set. Our standard methods make use of nested PCR to hunt for animals in mutagenized populations that carry deletions at a given locus. The deletion bearing animals exist initially in mixed populations where the majority of the animals are wild type at the target. Therefore, the production of the PCR fragment representing the deletion allele competes with the production of the wild type fragment. The size of the deletion fragment relative to wild type determines whether it can compete to a level where it can be detected above the background. Using our standard conditions, we have found that when the deletion is <600 bp, the deletion fragment does not compete effectively with the production of the wild type fragment in PCR. Therefore, although our standard methods work well to detect mutants with deletions >600 bp, they do not work well to detect mutants with smaller deletions. Here we report a new strategy to detect small deletion alleles in complex DNA pools. Our new strategy is a modification of our standard PCR based screens. In the first round of the nested PCR, we include a third PCR primer between the two external primers. The presence of this third primer leads to the production of three fragments from wild type DNA. We configure the system so that two of these three fragments cannot serve as a template in the second round of the nested PCR. The addition of this third primer, therefore, handicaps the amplification from wild type template. On the other hand, the amplification of mutant fragments where the binding site for the third primer is deleted is unabated. Overall, we see at least a 500-fold increase in the sensitivity for small deletion fragments using our new method. Using this new method, we report the recovery of new deletion alleles within 12 C.elegans genes.
Genetic analysis represents a powerful tool that establishes a direct link between the biochemical function of a gene product and its role in vivo. Genome sequencing projects have identified large numbers of plant genes for which no role has yet been defined. To address this problem a number of techniques have been developed, over the last 15 years, to enable researchers to identify plants with mutations in genes of known sequence. These reverse genetic approaches include RNAi and related technologies and screening of populations mutagenised by insertion (PCR), deletion (PCR) and point mutation (TILLING), each with its own strengths and weaknesses. The development of next-generation sequencing techniques now allows such screening to be done by sequencing. In the future, it is likely that the genomes of thousands of plants from mutagenised populations will be sequenced allowing for the identification of plants with mutations in specific genes to be done in silico.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.