Elizabeth A. Greene

Targeted screening for induced mutations.

With the accumulation of large-scale sequence data, emphasis in genomics has shifted from determining gene structure to testing gene function, and this relies on reverse genetic methodology. Here we explore the feasibility of screening for chemically induced mutations in target sequences in Arabidopsis thaliana. Our TILLING (Targeting Induced Local Lesions IN Genomes) method combines the efficiency of ethyl methanesulfonate (EMS)-induced mutagenesis with the ability of denaturing high-performance liquid chromatography (DHPLC) to detect base pair changes by heteroduplex analysis. Importantly, this method generates a wide range of mutant alleles, is fast and automatable, and is applicable to any organism that can be chemically mutagenized.

Increased coverage of protein families with the Blocks Database servers

The Blocks Database WWW (http://blocks.fhcrc.org ) and Email (blocks@blocks.fhcrc.org ) servers provide tools to search DNA and protein queries against the Blocks+ Database of multiple alignments, which represent conserved protein regions. Blocks+ nearly doubles the number of protein families included in the database by adding families from the Pfam-A, ProDom and Domo databases to those from PROSITE and PRINTS. Other new features include improved Block Searcher statistics, searching with NCBIs IMPALA program and 3D display of blocks on PDB structures.

Discovery of induced point mutations in maize genes by TILLING

BackgroundGoing from a gene sequence to its function in the context of a whole organism requires a strategy for targeting mutations, referred to as reverse genetics. Reverse genetics is highly desirable in the modern genomics era; however, the most powerful methods are generally restricted to a few model organisms. Previously, we introduced a reverse-genetic strategy with the potential for general applicability to organisms that lack well-developed genetic tools. Our TILLING (Targeting Induced Local Lesions IN Genomes) method uses chemical mutagenesis followed by screening for single-base changes to discover induced mutations that alter protein function. TILLING was shown to be an effective reverse genetic strategy by the establishment of a high-throughput TILLING facility and the delivery of thousands of point mutations in hundreds of Arabidopsis genes to members of the plant biology community.ResultsWe demonstrate that high-throughput TILLING is applicable to maize, an important crop plant with a large genome but with limited reverse-genetic resources currently available. We screened pools of DNA samples for mutations in 1-kb segments from 11 different genes, obtaining 17 independent induced mutations from a population of 750 pollen-mutagenized maize plants. One of the genes targeted was the DMT102 chromomethylase gene, for which we obtained an allelic series of three missense mutations that are predicted to be strongly deleterious.ConclusionsOur findings indicate that TILLING is a broadly applicable and efficient reverse-genetic strategy. We are establishing a public TILLING service for maize modeled on the existing Arabidopsis TILLING Project.

Discovery of chemically induced mutations in rice by TILLING

BackgroundRice is both a food source for a majority of the worlds population and an important model system. Available functional genomics resources include targeted insertion mutagenesis and transgenic tools. While these can be powerful, a non-transgenic, unbiased targeted mutagenesis method that can generate a range of allele types would add considerably to the analysis of the rice genome. TILLING (Targeting Induced Local Lesions in Genomes), a general reverse genetic technique that combines traditional mutagenesis with high throughput methods for mutation discovery, is such a method.ResultsTo apply TILLING to rice, we developed two mutagenized rice populations. One population was developed by treatment with the chemical mutagen ethyl methanesulphonate (EMS), and the other with a combination of sodium azide plus methyl-nitrosourea (Az-MNU). To find induced mutations, target regions of 0.7–1.5 kilobases were PCR amplified using gene specific primers labeled with fluorescent dyes. Heteroduplexes were formed through denaturation and annealing of PCR products, mismatches digested with a crude preparation of CEL I nuclease and cleaved fragments visualized using denaturing polyacrylamide gel electrophoresis. In 10 target genes screened, we identified 27 nucleotide changes in the EMS-treated population and 30 in the Az-MNU population.ConclusionWe estimate that the density of induced mutations is two- to threefold higher than previously reported rice populations (about 1/300 kb). By comparison to other plants used in public TILLING services, we conclude that the populations described here would be suitable for use in a large scale TILLING project.

High-Throughput TILLING for Functional Genomics

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.

PARSESNP: a tool for the analysis of nucleotide polymorphisms

PARSESNP is a tool for the display and analysis of polymorphisms in genes. Using a reference DNA sequence, an exon/intron position model and a list of polymorphisms, it determines the effects of these polymorphisms on the expressed gene product, as well as the changes in restriction enzyme recognition sites. It shows the locations and effects of the polymorphisms in summary on a stylized graphic and in detail on a display of the protein sequence aligned with the DNA sequence. The addition of a homology model, in the form of an alignment of related protein sequences, allows for prediction of the severity of missense changes. PARSESNP is available on the World Wide Web at http://www.proweb.org/parsesnp/.

Alternative splicing of lola generates 19 transcription factors controlling axon guidance in Drosophila.

The Drosophila melanogaster transcription factor Lola (longitudinals lacking) is a pivotal regulator of neural wiring that sets the precise expression levels of proteins that execute specific axon guidance decisions. Lola has a zinc finger DNA binding domain and a BTB (for Broad-complex, Tramtrack and Bric a brac) dimerization motif. We now show that alternative splicing of the lola gene creates a family of 19 transcription factors. All lola isoforms share a common dimerization domain, but 17 have their own unique DNA-binding domains. Seven of these 17 isoforms are present in the distantly-related Dipteran Anopheles gambiae, suggesting that the properties of specific isoforms are likely to be critical to lola function. Analysis of the expression patterns of individual splice variants and of the phenotypes of mutants lacking single isoforms supports this idea and establishes that the alternative forms of lola are responsible for different functions of this gene. Thus, in this system, the alternative splicing of a key transcription factor helps to explain how a small genome encodes all the information that is necessary to specify the enormous diversity of axonal trajectories.

Retention of Induced Mutations in a Drosophila Reverse-Genetic Resource

Targeting induced local lesions in genomes (TILLING) is a reverse-genetic method for identifying point mutations in chemically mutagenized populations. For functional genomics, it is ideal to have a stable collection of heavily mutagenized lines that can be screened over an extended period of time. However, long-term storage is impractical for Drosophila, so mutant strains must be maintained by continual propagation of live cultures. Here we evaluate a strategy in which ethylmethane sulfonate (EMS) mutagenized chromosomes were maintained as heterozygotes with balancer chromosomes for >100 generations before screening. The strategy yielded a spectrum of point mutations similar to those found in previous studies of EMS-induced mutations, as well as 2.4% indels (insertions and deletions). Our analysis of 1887 point mutations in 148 targets showed evidence for selection against deleterious lesions and differential retention of lesions among targets on the basis of their position relative to balancer breakpoints, leading to a broad distribution of mutational densities. Despite selection and differential retention, the success of a user-funded service based on screening a large collection several years after mutagenesis indicates sufficient stability for use as a long-term reverse-genetic resource. Our study has implications for the use of balancer chromosomes to maintain mutant lines and provides the first large-scale quantitative assessment of the limitations of using breeding populations for repositories of genetic variability.

High-Throughput TILLING for Arabidopsis

Targeting induced local lesions in genomes (TILLING) is a general strategy for identifying induced point mutations that can be applied to almost any organism. In this chapter, 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.

Using the Blocks Database to Recognize Functional Domains

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.