Publications by authors named "Christopher Crew"

The model filamentous fungus Neurospora crassa has been the focus of functional genomics studies for the past several years. A high-throughput gene knockout procedure has been developed and used to generate mutants for more than two-thirds of the ∼10,000 annotated N. crassa genes.

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The availability of complete genome sequences for a number of biologically important fungi has become an important resource for fungal research communities. However, the functions of many open reading frames (ORFs) identified through annotation of whole genome sequences have yet to be determined. The disruption of ORFs is a practical method for loss-of-function gene analyses in fungi that are amenable to transformation.

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A consortium of investigators is engaged in a functional genomics project centered on the filamentous fungus Neurospora, with an eye to opening up the functional genomic analysis of all the filamentous fungi. The overall goal of the four interdependent projects in this effort is to accomplish functional genomics, annotation, and expression analyses of Neurospora crassa, a filamentous fungus that is an established model for the assemblage of over 250,000 species of non yeast fungi. Building from the completely sequenced 43-Mb Neurospora genome, Project 1 is pursuing the systematic disruption of genes through targeted gene replacements, phenotypic analysis of mutant strains, and their distribution to the scientific community at large.

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The low rate of homologous recombination exhibited by wild-type strains of filamentous fungi has hindered development of high-throughput gene knockout procedures for this group of organisms. In this study, we describe a method for rapidly creating knockout mutants in which we make use of yeast recombinational cloning, Neurospora mutant strains deficient in nonhomologous end-joining DNA repair, custom-written software tools, and robotics. To illustrate our approach, we have created strains bearing deletions of 103 Neurospora genes encoding transcription factors.

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