Draft Genome Sequences of Sanguibacteroides justesenii, gen. nov., sp. nov., Strains OUH 308042T (= ATCC BAA-2681T) and OUH 334697 (= ATCC BAA-2682), Isolated from Blood Cultures from Two Different Patients

We announce here the draft genome sequences of Sanguibacteroides justesenii, gen. nov., sp. nov., strains OUH 308042(T) (= DSM 28342(T) = ATCC BAA-2681(T)) and OUH 334697 (= DSM 28341 = ATCC BAA-2682), isolated from blood cultures from two different patients and composed of 51 and 39 contigs for totals of 3,385,516 and 3,410,672 bp, respectively

IReport: A generalised Galaxy solution for integrated experimental reporting

Background: Galaxy offers a number of visualisation options with components, such as Trackster, Circster and Galaxy Charts, but currently lacks the ability to easily combine outputs from different tools into a single view or report. A number of tools produce HTML reports as output in order to combine the various output files from a single tool; however, this requires programming and knowledge of HTML, and the reports must be custom-made for each new tool.Findings: We have developed a generic and flexible reporting tool for Galaxy, iReport, that allows users to create interactive HTML reports directly from the Galaxy UI, with the ability to combine an arbitrary number of outputs from any number of different tools. Content can be organised into different tabs, and interactivity can be added to components. To demonstrate the capability of iReport we provide two publically available examples, the first is an iReport explaining about iReports, created for, and using content from the recent Galaxy Community Conference 2014. The second is a genetic report based on a trio analysis to determine candidate pathogenic variants which uses our previously developed Galaxy toolset for whole-genome NGS analysis, CGtag. These reports may be adapted for outputs from any sequencing platform and any results, such as omics data, non-high throughput results and clinical variables.Conclusions: iReport provides a secure, collaborative, and flexible web-based reporting system that is compatible with Galaxy (and non-Galaxy) generated content. We demonstrate its value with a real-life example of reporting genetic trio-analysis

Identificazione di una variante missenso nel gene RBM10 in una famiglia sarda con disabilità intellettiva X-linked

X-linked intellectual disability (XLID) is a heterogeneous disorder, and mutations causing monogenic XLID have now been reported in over 100 genes. We report a five-generation Sardinian family in which seven affected male family members had intellectual disability and craniofacial dysmorphisms. Large-scale next generation exome resequencing of X chromosome genes detected a rare missense variant (c.995G>A, p.Arg332His) located within a highly conserved domain in the RBM10 gene at Xp11.23. Sanger sequencing confirmed the presence of the variant in affected males and in their mothers. The variant was not present in non affected male family members, has not been reported in variant databases and is disease-causing according to a web-based prediction tool. RBM10 is an RNA binding protein involved in the regulation of transcription, alternative splicing and message stabilization. RBM10 nonsense and frameshift mutations are associated with TARP syndrome characterized by Talipes equinovarus, Atrial septal defect, Robin sequence and Persistence of the left superior vena cava and pre- or postnatal lethality in affected males. RBM10 has not been reported in XLID patients until now. Genic intolerance score suggested that RBM10 may be “intolerant” of functional mutations. Although our finding suggest that RBM10 is a reasonable candidate gene for XLID, functional studies and mutations screening in other patients are needed to prove a definite causal relationship between the variant and the phenotype

Simulation and identification of gene regulatory networks

Gene regulatory networks are a well-established model to represent the functioning, at gene level, of utterly elaborated biological networks. Studying and understanding such models of gene communication might enable researchers to rightly address costly laboratory experiments, e.g. by selecting a small set of genes deemed to be responsible for a particular disease, or by indicating with confidence which molecule is supposed to be susceptible to certain drug treatments. This thesis explores two main aspects regarding gene regulatory networks: (i) the simulation of realistic perturbative and systems genetics experiments in gene networks, and (ii) the inference of gene networks from simulated and real data measurements. In detail, the following themes will be discussed: (i) SysGenSIM, an open source software to produce gene networks with realistic topology and simulate systems genetics or targeted perturbative experiments; (ii) two state of the arts algorithms for the structural identification of gene networks from single-gene knockout measurements; (iii) an approach to reverse-engineering gene networks from heterogeneous compendia; (iv) a methodology to infer gene interactions fromsystems genetics dataset. These works have been positively recognized by the scientific community. In particular, SysGenSIM has been used – in addition to providing valuable test benches for the development of the above inference algorithms – to generate benchmark datasets for international competitions as the DREAM5 Systems Genetics challenge and the StatSeq workshop. The identificationmethodologies earned their worth by accurately reverse-engineering gene networks at established contests, namely the DREAM Network Inference challenges. Results are explained and discussed thoroughly in the thesis

Simulation and identification of gene regulatory networks

Gene regulatory networks are a well-established model to represent the functioning, at gene level, of utterly elaborated biological networks. Studying and understanding such models of gene communication might enable researchers to rightly address costly laboratory experiments, e.g. by selecting a small set of genes deemed to be responsible for a particular disease, or by indicating with confidence which molecule is supposed to be susceptible to certain drug treatments. This thesis explores two main aspects regarding gene regulatory networks: (i) the simulation of realistic perturbative and systems genetics experiments in gene networks, and (ii) the inference of gene networks from simulated and real data measurements. In detail, the following themes will be discussed: (i) SysGenSIM, an open source software to produce gene networks with realistic topology and simulate systems genetics or targeted perturbative experiments; (ii) two state of the arts algorithms for the structural identification of gene networks from single-gene knockout measurements; (iii) an approach to reverse-engineering gene networks from heterogeneous compendia; (iv) a methodology to infer gene interactions fromsystems genetics dataset. These works have been positively recognized by the scientific community. In particular, SysGenSIM has been used – in addition to providing valuable test benches for the development of the above inference algorithms – to generate benchmark datasets for international competitions as the DREAM5 Systems Genetics challenge and the StatSeq workshop. The identificationmethodologies earned their worth by accurately reverse-engineering gene networks at established contests, namely the DREAM Network Inference challenges. Results are explained and discussed thoroughly in the thesis

Carotenoid Raman signatures are better preserved in dried cells of the desert cyanobacterium Chroococcidiopsis than in hydrated counterparts after high-dose gamma irradiation

Carotenoids are promising targets in our quest to search for life on Mars due to their biogenic origin and easy detection by Raman spectroscopy, especially with a 532 nm excitation thanks to resonance effects. Ionizing radiations reaching the surface and subsurface of Mars are however detrimental for the long-term preservation of biomolecules. We show here that desiccation can protect carotenoid Raman signatures in the desert cyanobacterium Chroococcidiopsis sp. CCMEE 029 even after high-dose gamma irradiation. Indeed, while the height of the carotenoids Raman peaks was considerably reduced in hydrated cells exposed to gamma irradiation, it remained stable in dried cells irradiated with the highest tested dose of 113 kGy of gamma rays, losing only 15-20% of its non-irradiated intensity. Interestingly, even though the carotenoid Raman signal of hydrated cells lost 90% of its non-irradiated intensity, it was still detectable after exposure to 113 kGy of gamma rays. These results add insights into the preservation potential and detectability limit of carotenoid-like molecules on Mars over a prolonged period of time and are crucial in supporting future missions carrying Raman spectrometers to Mars’ surface

A New COL3A1 Mutation in Ehlers-Danlos Syndrome Vascular Type with Different Phenotypes in the Same Family

Vascular Ehlers-Danlos syndrome (vEDS) is a rare and severe connective tissue disorder caused by mutations in the collagen type III alpha I chain (COL3A1) gene. We describe a pathogenetic heterozygous COL3A1 mutation c.3140 G>A, p. Gly1047Asp, identified using next-generation sequencing, in a 40-year-old Italian female. The genetic test performed on her relatives, which present different clinical phenotypes, confirmed that they carry the same mutation in heterozygous state. This finding confirms that mutations causing vEDS have an incomplete penetrance

How exome sequencing is shedding light on the complexity of Mendelian disorders: some examples from Sardinia

The total number of Mendelian disorders is estimated to be around 7,000 and while each is individually rare, together, these genetic conditions contribute significantly to morbidity, mortality, and healthcare costs. In the last decade there has been a paradigm shift in their investigation due to the development of powerful new DNA sequencing technologies, such as whole exome sequencing. Although our knowledge of the diversity of Mendelian phenotypes is progressively increasing, substantial gaps remain. Up to 50% of patients affected by a rare genetic disorder never receive a diagnosis. We focused our attention on such Mendelian disorders and in a collaborative effort we studied by WES a cohort of heterogeneous samples affected by Crisponi/Cold-induced sweating syndrome-like, syndromic Intellectual Disabilities and Epileptic Encephalopathies. The results of our work along with others reported in the literature, are contributing to reveal the extensive clinical variability and genetic complexity underlying Mendelian phenotypes and inheritance, to provide insight into study design and approach and analytical strategies and to identify novel mechanisms. Our increasing knowledge on the genetic basis of rare disorders is shedding light on the “complex” nature of the “simple” Mendelian disorders and that “true monogenic” disorders are very rare, underscoring the current challenges of clinical diagnostics and discovery

Investigation on the evolution of Shiga Toxin-converting phages based on whole genome sequencing

Bacteriophages are pivotal elements in the dissemination of virulence genes. The main virulence determinants of Shiga Toxin producing E. coli, Shiga Toxins (Stx), are encoded by genes localized in the genome of lambdoid bacteriophages. Stx comprise two antigenically different types, Stx1 and Stx2, further divided into subtypes. Among these, certain Stx2 subtypes appear to be more commonly occurring in the most severe forms of the STEC disease, haemorrhagic colitis and haemolytic uremic syndrome (HUS). This study aimed at obtaining insights on the evolution of Stx2 bacteriophages, due to their relevance in public health, and we report here on the analysis of the genomic structure of Stx2 converting phages in relation with the known reservoir of the E. coli strains harboring them. Stx2-converting phages conveying the genes encoding different stx2 subtypes have been isolated from STEC strains and their whole genomes have been sequenced, analyzed and compared to those of other Stx2 phages available in the public domain. The phages' regions containing the stx2 genes have been analyzed in depth allowing to make inference on the possible mechanisms of selection and maintenance of certain Stx2 phages in the reservoir. The 'stx regions' of different stx2 gene subtypes grouped into three different evolutionary lines in the comparative analysis, reflecting the frequency with which these subtypes are found in different animal niches, suggesting that the colonization of specific reservoir by STEC strains could be influenced by the Stx phage that they carry. Noteworthy, we could identify the presence of nanS-p gene exclusively in the 'stx regions' of the phages identified in STEC strains commonly found in cattle. As a matter of fact, this gene encodes an esterase capable of metabolizing sialic acids produced by submaxillary glands of bovines and present in great quantities in their gastrointestinal tract