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Western corn rootworm (WCR), Diabrotica virgifera virgifera, is one of the most significant pests of corn in the United States. Although transgenic solutions exist, increasing resistance concerns make the discovery of novel solutions essential. In order to find a novel protein with high activity and a new mode of action, a large microbial collection was surveyed for toxicity to WCR using in vitro bioassays. Cultures of strain ATX2024, identified as Chromobacterium piscinae, had very high activity against WCR larvae. The biological activity from the strain was purified using chromatographic techniques and fractions were tested against WCR larvae. Proteins in the final active fraction were identified by mass spectrometry and N-terminal sequencing and matched to the genome of ATX2024. A novel 58.9kDa protein, identified by this approach, was expressed in a recombinant expression system and found to have specific activity against WCR. Transgenic corn events containing this gene showed good protection against root damage by WCR, with average scores ranging between 0.01 and 0.04 on the Iowa State node injury scale. Sequence analysis did not reveal homology to any known insecticidal toxin, suggesting that this protein may act in a novel way to control WCR. The new WCR active protein is named GNIP1Aa, for Gram Negative Insecticidal Protein.

Single nucleotide polymorphisms (SNPs) in the human genome are DNA sequence variations that can alter an individual's response to environmental exposure. SNPs in gene coding regions can lead to changes in the biological properties of the encoded protein. In contrast, SNPs in non-coding gene regulatory regions may affect gene expression levels in an allele-specific manner, and these functional polymorphisms represent an important but relatively unexplored class of genetic variation. The main challenge in analyzing these SNPs is a lack of robust computational and experimental methods. Here, we first outline mechanisms by which genetic variation can impact gene regulation, and review recent findings in this area; then, we describe a methodology for bioinformatic discovery and functional analysis of regulatory SNPs in cis-regulatory regions using the assembled human genome sequence and databases on sequence polymorphism and gene expression. Our method integrates SNP and gene databases and uses a set of computer programs that allow us to: (1) select SNPs, from among the >9 million human SNPs in the NCBI dbSNP database, that are similar to cis-regulatory element (RE) consensus sequences; (2) map the selected dbSNP entries to the human genome assembly in order to identify polymorphic REs near gene start sites; (3) prioritize the candidate polymorphic RE containing genes by searching the existing genotype and gene expression data sets. The applicability of this system has been demonstrated through studies on p53 responsive elements and is being extended to additional pathways and environmentally responsive genes.

Human polymorphisms originate as mutations, and the influence of context on mutagenesis should be reflected in the distribution of sequences surrounding single nucleotide polymorphisms (SNPs). We have performed a computational survey of nearly two million human SNPs to determine if sequence-dependent hotspots for polymorphism exist in the human genome. Here we show that sequences containing CpG dinucleotides, which occur at low frequencies in the human genome, are 6.7-fold more abundant at polymorphic sites than expected. In contrast, polymorphisms in CpG sequences located within CpG islands, important regulatory regions that modulate gene expression, are 6.8-fold less prevalent than expected. The distribution of polymorphic alleles at CpGs in CpG islands is also significantly different from that in non-island regions. These data strongly support a role for 5-methylcytosine deamination in the generation of human variation, and suggest that variation at CpGs in islands is suppressed.

Recombinational repair of double-strand breaks in tandemly repeated sequences often results in the loss of one or more copies of the repeat. The single-strand annealing (SSA) model for repair has been proposed to account for this nonconservative recombination. In this study we present a plasmid-based physical assay that measures SSA during bacteriophage T4 infection and apply this assay to the genetic analysis of break repair. SSA occurs readily in broken plasmid DNA and is independent of the strand exchange protein UvsX and its accessory factor UvsY. We use the unique features of T4 DNA metabolism to examine the link between SSA repair and DNA replication and demonstrate directly that the DNA polymerase and the major replicative helicase of the phage are not required for SSA repair. We also show that the Escherichia coli RecBCD enzyme can mediate the degradation of broken DNA during early, but not late, times of infection. Finally, we consider the status of broken ends during the course of the infection and propose a model for SSA during T4 infections.

The p53 tumor suppressor protein is a master regulatory transcription factor that coordinates cellular responses to DNA damage and cellular stress. Besides mutations in p53, or in proteins involved in the p53 response pathway, genetic variation in promoter response elements (REs) of p53 target genes is expected to alter biological responses to stress. To identify SNPs in p53 REs that may modify p53-controlled gene expression, we developed an approach that combines a custom bioinformatics search to identify candidate SNPs with functional yeast and mammalian cell assays to assess their effect on p53 transactivation. Among ≈2 million human SNPs, we identified >200 that seem to disrupt functional p53 REs. Eight of these SNPs were evaluated in functional assays to determine both the activity of the putative RE and the impact of the candidate SNPs on transactivation. All eight candidate REs were functional, and in every case the SNP pair exhibited differential transactivation capacities. Additionally, six of the eight genes adjacent to these SNPs are induced by genotoxic stress or are activated directly by transfection with p53 cDNA. Thus, this strategy efficiently identifies SNPs that may differentially affect gene expression responses in the p53 regulatory pathway.

Double-strand break (DSB) repair and DNA replication are tightly linked in the life cycle of bacteriophage T4. Indeed, the major mode of phage DNA replication depends on recombination proteins and can be stimulated by DSBs. DSB-stimulated DNA replication is dramatically demonstrated when T4 infects cells carrying two plasmids that share homology. A DSB on one plasmid triggered extensive replication of the second plasmid, providing a useful model for T4 recombination-dependent replication (RDR). This system also provides a view of DSB repair in T4-infected cells and revealed that the DSB repair products had been replicated in their entirety by the T4 replication machinery. We analyzed the detailed structure of these products, which do not fit the simple predictions of any of three models for DSB repair. We also present evidence that the T4 RDR system functions to restart stalled or inactivated replication forks. First, we review experiments involving antitumor drug-stabilized topoisomerase cleavage complexes. The results suggest that forks blocked at cleavage complexes are resolved by recombinational repair, likely involving RDR. Second, we show here that the presence of a T4 replication origin on one plasmid substantially stimulated recombination events between it and a homologous second plasmid that did not contain a T4 origin. Furthermore, replication of the second plasmid was increased when the first plasmid contained the T4 origin. Our interpretation is that origin-initiated forks become inactivated at some frequency during replication of the first plasmid and are then restarted via RDR on the second plasmid.

Summary The bacteriophage T4-encoded type II DNA topoisomerase is the major target for the antitumour agent m-AMSA (4-(9-acridinylamino)methanesulphon-m-anisidide) in phage-infected bacterial cells. Inhibition of the purified enzyme by m-AMSA results in formation of a cleavage complex that contains the enzyme covalently attached to DNA on both sides of a double-strand break. In this article, we provide evidence that this cleavage complex is responsible for inhibition of phage growth and that recombinational repair can reduce sensitivity to the antitumour agent, presumably by eliminating the complex (or some derivative thereof). First, topoisomerase-deficient mutants were shown to be resistant to m-AMSA, indicating that m-AMSA inhibits growth by inducing the cleavage complex rather than by inhibiting enzyme activity. Second, mutations in several phage genes that encode recombination proteins (uvsX, uvsY, 46 and 59) increased the sensitivity of phage T4 to m-AMSA, strongly suggesting that recombination participates in the repair of topoisomerase-mediated damage. Third, m-AMSA stimulated recombination in phage-infected bacterial cells, as would be expected from the recombinational repair of DNA damage. Finally, m-AMSA induced the production of cleavage complexes involving the T4 topoisomerase within phage-infected cells.

Single nucleotide polymorphisms (SNPs) in transcription factor binding sites (TFBSs) may affect the binding of transcription factors, lead to differences in gene expression and phenotypes and therefore affect susceptibility to environmental exposure. We developed an integrated computational system for discovering functional SNPs in TFBSs in the human genome and predicting their impact on the expression of target genes. In this system, we (i) construct a position weight matrix (PWM) from a collection of experimentally discovered TFBSs; (ii) predict TFBSs in SNP sequences using the PWM and map SNPs to the upstream regions of genes; (iii) examine the evolutionary conservation of putative TFBSs by phylogenetic footprinting; (iv) prioritize candidate SNPs based on microarray expression profiles from tissues in which the transcription factor of interest is either deleted or over-expressed and (v) finally, analyze association of SNP genotypes with gene expression phenotypes. The application of our system has been tested to identify functional polymorphisms in the antioxidant response element (ARE), a cis-acting enhancer sequence found in the promoter region of many genes that encode antioxidant and Phase II detoxification enzymes/proteins. In response to oxidative stress, the transcription factor NRF2 (nuclear factor erythroid-derived 2-like 2) binds to AREs, mediating transcriptional activation of its responsive genes and modulating in vivo defense mechanisms against oxidative damage. Using our novel computational tools, we have identified a set of polymorphic AREs with functional evidence, showing the utility of our system to direct further experimental validation of genomic sequence variations that could be useful for identifying high-risk individuals.