The rates at which lesions are removed by DNA repair can vary widely throughout the genome, with important implications for genomic stability. To study this, we measured the distribution of nucleotide excision repair (NER) rates for UV-induced lesions throughout the budding yeast genome. By plotting these repair rates in relation to genes and their associated flanking sequences, we reveal that, in normal cells, genomic repair rates display a distinctive pattern, suggesting that DNA repair is highly organized within the genome. Furthermore, by comparing genome-wide DNA repair rates in wild-type cells and cells defective in the global genome-NER (GG-NER) subpathway, we establish how this alters the distribution of NER rates throughout the genome. We also examined the genomic locations of GG-NER factor binding to chromatin before and after UV irradiation, revealing that GG-NER is organized and initiated from specific genomic locations. At these sites, chromatin occupancy of the histone acetyl-transferase Gcn5 is controlled by the GG-NER complex, which regulates histone H3 acetylation and chromatin structure, thereby promoting efficient DNA repair of UV-induced lesions. Chromatin remodeling during the GG-NER process is therefore organized into these genomic domains. Importantly, loss of Gcn5 significantly alters the genomic distribution of NER rates; this has implications for the effects of chromatin modifiers on the distribution of mutations that arise throughout the genome.
The non-sulphur purple bacterium Rhodopseudomonas palustris contains five pucAB genes for peripheral light-harvesting complexes. Bacteria grown under high-light conditions absorb at 800 and 850 nm but in low-light the 850 nm peak is almost absent and LH2 complexes are replaced by LH4. The genome contains six bacteriophytochromes (Bph). Bphs sense light in the red/far-red through a reversible Pr to Pfr transformation that controls gene expression. Bph3 (RPA1537) controls the expression of a cluster of photosynthetic genes, however most of the peripheral light harvesting complex genes are outside of this region. The pucAB-d genes encode LH4 peptides and are near two Bphs (RPA3015, RPA3016). We have characterised three Bphs and show that Bph4 RPA3015 and Bph3 RPA1537 have different dark stable states. It is known that Bph3 is active in its red absorbing Pr form and suggests a working hypothesis that Bph4 is active in the Pfr state. We show that LH4 expression can be induced with red light at the Pr absorption maximum (708 nm) of Bph4. The property of light transmission of water maybe an important factor in understanding this adaptation. Bph4 can sense the reduction in light intensity indirectly through an increase in ratio of transmitted red/far-red light. The red right activated Bph4 regulates the synthesis of LH4 which concentrates bacteriochlorophyll a pigment absorption at 800 nm to exploit a recovery in water light transmission in this region.
DNA damage occurs via endogenous and exogenous genotoxic agents and compromises a genome’s integrity. Knowing where damage occurs within a genome is crucial to understanding the repair mechanisms which protect this integrity. This paper describes a new development based on microarray technology which uses ultraviolet light induced DNA damage as a paradigm to determine the position and frequency of DNA damage and its subsequent repair throughout the entire yeast genome.
Genotoxins cause DNA damage, which can result in genomic instability. The genetic changes induced have far-reaching consequences, often leading to diseases such as cancer. A wide range of genotoxins exists, including radiations and chemicals found naturally in the environment, and in man-made forms created by human activity across a variety of industries. Genomic technologies offer the possibility of unravelling the mechanisms of genotoxicity, including the repair of genetic damage, enhancing our ability to develop, test and safely use existing and novel materials. We have developed 3D-DIP-Chip, a microarray-based method to measure the prevalence of genomic genotoxin-induced DNA damage. We demonstrate the measurement of both physical and chemical induced DNA damage spectra, integrating the analysis of these with the associated changes in histone acetylation induced in the epigenome. We discuss the application of the method in the context of basic and translational sciences.
RNA-protein interactions are important in many biological contexts. Identification of the networks that connect regulatory proteins to one another and to the mRNAs they control is a critical need. Here, we use a yeast three-hybrid screening approach to identify RNAs that bind a known RNA regulatory protein, the Saccharomyces cerevisiae PUF protein, Mpt5p. The assay selects RNAs that bind in vivo using simple phenotypes and reporter genes. It enables rapid analyses of the affinity and specificity of the interaction. We show that the method identifies mRNAs that are genuinely regulated by the protein in vivo, and that it complements biochemical strategies, yielding a set of mRNAs that overlap with, but are distinct from, those obtained by biochemical means. The approach we describe facilitates construction of protein-RNA linkage maps.
The identification of the bacterial species responsible for an infection remains an important step for the selection of antimicrobial therapy. Gram-negative bacteria are an important source of hospital and community acquired infections and frequently antimicrobial resistant. Speciation of bacteria is typically carried out by biochemical profiling of organisms isolated from clinical specimens, which is time consuming and delays the initiation of tailored treatment. Whilst molecular methods such as PCR have been used, they often struggle with the challenge of detecting and discriminating a wide range of targets. High resolution melt analysis is an end-point qPCR detection method that provides greater multiplexing capability than probe based methods. Here we report the design of a high resolution melt analysis assay for the identification of six common Gram-negative pathogens; Escherichia coli, Klebsiella pneumoniae, Klebsiella oxytoca, Pseudomonas aeruginosa, Salmonella Sp, and Acinetobacter baumannii, and a generic Gram-negative specific 16S rRNA control. The assay was evaluated using a well characterised collection of 113 clinically isolated Gram-negative bacteria. The agreement between the HRM assay and the reference test of PCR and sequencing was 98.2% (Kappa 0.96); the overall sensitivity and specificity of the assay was 97.1% (95% CI: 90.1–99.7%) and 100% (95% CI: 91.78–100%) respectively.
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