Genome-Wide Adductomics Analysis Reveals Heterogeneity in the Induction and Loss of Cyclobutane Thymine Dimers across Both the Nuclear and Mitochondrial Genomes.

The distribution of DNA damage and repair is considered to occur heterogeneously across the genome. However, commonly available techniques, such as the alkaline comet assay or HPLC-MS/MS, measure global genome levels of DNA damage, and do not reflect potentially significant events occurring at the gene/sequence-specific level, in the nuclear or mitochondrial genomes. We developed a method, which comprises a combination of Damaged DNA Immunoprecipitation and next generation sequencing (DDIP-seq), to assess the induction and repair of DNA damage induced by 0.1 J/cm2 solar-simulated radiation at the sequence-specific level, across both the entire nuclear and mitochondrial genomes. DDIP-seq generated a genome-wide, high-resolution map of cyclobutane thymine dimer (T<>T) location and intensity. In addition to being a straightforward approach, our results demonstrated a clear differential distribution of T<>T induction and loss, across both the nuclear and mitochondrial genomes. For nuclear DNA, this differential distribution existed at both the sequence and chromosome level. Levels of T<>T were much higher in the mitochondrial DNA, compared to nuclear DNA, and decreased with time, confirmed by qPCR, despite no reported mechanisms for their repair in this organelle. These data indicate the existence of regions of sensitivity and resistance to damage formation, together with regions that are fully repaired, and those for which > 90% of damage remains, after 24 h. This approach offers a simple, yet more detailed approach to studying cellular DNA damage and repair, which will aid our understanding of the link between DNA damage and disease.

As Clear as Mud? Determining the Diversity and Prevalence of Prophages in the Draft Genomes of Estuarine Isolates of Clostridium difficile.

The bacterium Clostridium difficile is a significant cause of nosocomial infections worldwide. The pathogenic success of this organism can be attributed to its flexible genome which is characterized by the exchange of mobile genetic elements, and by ongoing genome evolution. Despite its pathogenic status, C. difficile can also be carried asymptomatically, and has been isolated from natural environments such as water and sediments where multiple strain types (ribotypes) are found in close proximity. These include ribotypes which are associated with disease, as well as those that are less commonly isolated from patients. Little is known about the genomic content of strains in such reservoirs in the natural environment. In this study, draft genomes have been generated for 13 C. difficile isolates from estuarine sediments including clinically relevant and environmental associated types. To identify the genetic diversity within this strain collection, whole-genome comparisons were performed using the assemblies. The strains are highly genetically diverse with regards to the C. difficile "mobilome," which includes transposons and prophage elements. We identified a novel transposon-like element in two R078 isolates. Multiple, related and unrelated, prophages were detected in isolates across ribotype groups, including two novel prophage elements and those related to the transducing phage φC2. The susceptibility of these isolates to lytic phage infection was tested using a panel of characterized phages found from the same locality. In conclusion, estuarine sediments are a source of genetically diverse C. difficile strains with a complex network of prophages, which could contribute to the emergence of new strains in clinics.

ROCPLOT: a generic software tool for ROC analysis and the validation of predictive methods.

UNLABELLED: Receiver operating characteristic (ROC) analysis is a powerful and widely used technique for assessing predictive methods, yet there are no generic, open-source software tools for this that are freely available. Our ROCPLOT program performs ROC analysis on one or more files of search results (hits) and generates the following: (i) ROC values, giving a convenient numerical measure of method sensitivity and specificity; (ii) ROC plots graphically displaying sensitivity and specificity; (iii) classification plots to aid interpretation of the ROC plots and values; and (iv) a bar chart of the distribution of ROC values. ROCPLOT is generic and flexible: data in multiple hits files can be processed in series or parallel, allowing the results of multiple predictions to be viewed side-by-side or combined. AVAILABILITY: ROCPLOT is freely available for download as part of the European Molecular Biology Open Software Suite, EMBOSS (http://emboss.sourceforge.net/apps/rocplot.html).

Automatic generation and evaluation of sparse protein signatures for families of protein structural domains.

We identified key residues from the structural alignment of families of protein domains from SCOP which we represented in the form of sparse protein signatures. A signature-generating algorithm (SigGen) was developed and used to automatically identify key residues based on several structural and sequence-based criteria. The capacity of the signatures to detect related sequences from the SWISSPROT database was assessed by receiver operator characteristic (ROC) analysis and jack-knife testing. Test signatures for families from each of the main SCOP classes are described in relation to the quality of the structural alignments, the SigGen parameters used, and their diagnostic performance. We show that automatically generated signatures are potently diagnostic for their family (ROC50 scores typically >0.8), consistently outperform random signatures, and can identify sequence relationships in the "twilight zone" of protein sequence similarity (<40%). Signatures based on 15%-30% of alignment positions occurred most frequently among the best-performing signatures. When alignment quality is poor, sparser signatures perform better, whereas signatures generated from higher-quality alignments of fewer structures require more positions to be diagnostic. Our validation of signatures from the Globin family shows that when sequences from the structural alignment are removed and new signatures generated, the omitted sequences are still detected. The positions highlighted by the signature often correspond (alignment specificity >0.7) to the key positions in the original (non-jack-knifed) alignment. We discuss potential applications of sparse signatures in sequence annotation and homology modeling.