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Showing papers by "Jorja G. Henikoff published in 2003"


Journal ArticleDOI
01 Jun 2003-Genetics
TL;DR: A comprehensive analysis of approximately 1900 ethyl methanesulfonate (EMS)-induced mutations in 192 Arabidopsis thaliana target genes from a large-scale TILLING reverse-genetic project, about two orders of magnitude larger than previous such efforts.
Abstract: Chemical mutagenesis has been the workhorse of traditional genetics, but it has not been possible to determine underlying rates or distributions of mutations from phenotypic screens. However, reverse-genetic screens can be used to provide an unbiased ascertainment of mutation statistics. Here we report a comprehensive analysis of approximately 1900 ethyl methanesulfonate (EMS)-induced mutations in 192 Arabidopsis thaliana target genes from a large-scale TILLING reverse-genetic project, about two orders of magnitude larger than previous such efforts. From this large data set, we are able to draw strong inferences about the occurrence and randomness of chemically induced mutations. We provide evidence that we have detected the large majority of mutations in the regions screened and confirm the robustness of the high-throughput TILLING method; therefore, any deviations from randomness can be attributed to selectional or mutational biases. Overall, we detect twice as many heterozygotes as homozygotes, as expected; however, for mutations that are predicted to truncate an encoded protein, we detect a ratio of 3.6:1, indicating selection against homozygous deleterious mutations. As expected for alkylation of guanine by EMS, >99% of mutations are G/C-to-A/T transitions. A nearest-neighbor bias around the mutated base pair suggests that mismatch repair counteracts alkylation damage.

609 citations


Journal ArticleDOI
TL;DR: The goal is to rapidly deliver allelic series of ethylmethanesulfonate-induced mutations in target 1-kb loci requested by the international research community.
Abstract: TILLING (Targeting Induced Local Lesions in Genomes) is a general reverse-genetic strategy that provides an allelic series of induced point mutations in genes of interest High-throughput TILLING allows the rapid and low-cost discovery of induced point mutations in populations of chemically mutagenized individuals As chemical mutagenesis is widely applicable and mutation detection for TILLING is dependent only on sufficient yield of PCR products, TILLING can be applied to most organisms We have developed TILLING as a service to the Arabidopsis community known as the Arabidopsis TILLING Project (ATP) Our goal is to rapidly deliver allelic series of ethylmethanesulfonate-induced mutations in target 1-kb loci requested by the international research community In the first year of public operation, ATP has discovered, sequenced, and delivered >1000 mutations in >100 genes ordered by Arabidopsis researchers The tools and methodologies described here can be adapted to create similar facilities for other organisms

596 citations


Journal ArticleDOI
TL;DR: The primer design software and the CODEHOP PCR strategy have been utilized for the identification and characterization of new gene orthologs and paralogs in different plant, animal and bacterial species and has been successful in identifying new pathogen species.
Abstract: We have developed a new primer design strategy for PCR amplification of distantly related gene sequences based on consensus-degenerate hybrid oligonucleotide primers (CODEHOPs). An interactive program has been written to design CODEHOP PCR primers from conserved blocks of amino acids within multiply-aligned protein sequences. Each CODEHOP consists of a pool of related primers containing all possible nucleotide sequences encoding 3–4 highly conserved amino acids within a3 0 degenerate core. A longer 5 0 non-degenerate clamp region contains the most probable nucleotide predicted for each flanking codon. CODEHOPs are used in PCR amplification to isolate distantly related sequences encoding the conserved amino acid sequence. The primer design software and the CODEHOP PCR strategy have been utilized for the identification and characterization of new gene orthologs and paralogs in different plant,animal and bacterial species. In addition,this approach has been successful in identifying new pathogen species. The CODEHOP designer (http://blocks.fhcrc.org/ codehop.html) is linked to BlockMaker and the Multiple Alignment Processor within the Blocks Database World Wide Web (http://blocks.fhcrc.org).

433 citations


Book ChapterDOI
TL;DR: The basic methodology for high-throughput TILLING is described, whereby Gene segments are amplified using fluorescently tagged primers, and products are denatured and reannealed to form heteroduplexes between the mutated sequence and its wild-type counterpart.
Abstract: Targeting-induced local lesions in genomes (TILLING) is a general strategy for identifying induced point mutations that can be applied to almost any organism. Here, we describe the basic methodology for high-throughput TILLING. Gene segments are amplified using fluorescently tagged primers, and products are denatured and reannealed to form heteroduplexes between the mutated sequence and its wild-type counterpart. These heteroduplexes are substrates for cleavage by the endonuclease CEL I. Following cleavage, products are analyzed on denaturing polyacrylamide gels using the LI-COR DNA analyzer system. High-throughput TILLING has been adopted by the Arabidopsis TILLING Project (ATP) to provide allelic series of point mutations for the general Arabidopsis community.

133 citations


Journal ArticleDOI
TL;DR: Protocols in this unit describe the analysis of proteins and families using Blocks‐based tools, including searching, exploring relationships with trees, making new blocks, and designing PCR primers from blocks for isolating homologous sequences.
Abstract: Blocks are ungapped multiple alignments of related protein sequence segments that correspond to the most conserved regions of the proteins. The Blocks Database is a collection of blocks representing known protein families that can be used to compare a protein or DNA sequence with documented families of proteins. Protocols in this unit describe the analysis of proteins and families using Blocks-based tools, including searching, exploring relationships with trees, making new blocks, and designing PCR primers from blocks for isolating homologous sequences.

8 citations