Comparative genomics among members of the Streptococcus bovis/Streptococcus equinus complex

Background: Today, only one streptococcal species, i.e. Streptococcus thermophilus is recognized as food-grade. Interestingly, other streptococci like Streptococcus macedonicus and Streptococcus infantarius belonging to the Streptococcus bovis/Streptococcus equinus complex (SBSEC) are also found in food matrices. However, these species are phylogenetically related to Streptococcus gallolyticus and Streptococcus pasteurianus that have been linked to endocarditis, bacteremia and colon cancer. Objectives: To compare the available genomes of the members of the SBSEC in order to shed light onto their evolution and phylogenetic relation and to assess in silico their pathogenic potential. Methods: Comparative genomics analysis including full chromosome and CDS alignments, whole genome phylogeny and evaluation of gene content (e.g. core genome, singletons, etc.) was performed with appropriate bioinformatics tools. Conclusions: Despite the fact that the four species of the SBSEC were found tightly related based on whole genome phylogeny, there were two different patterns of evolution among them. Streptococcus pasteurianus, S. macedonicus and S. infantarius seem to have undergone a reductive evolution process that resulted in significantly diminished genome sizes and increased percentages of potential pseudogenes when compared to S. gallolyticus. In addition, S. pasteurianus, S. macedonicus and S. infantarius seem to have lost several genes previously linked to the ability of S. gallolyticus to survive in the gastrointestinal tract of herbivores and to its pathogenicity. Our findings indicate differences in the ecological niche and the pathogenic potential among the four species

An integrated assessment framework for the analysis of multiple pressures in aquatic ecosystems and the appraisal of management options

The contribution illustrates an integrated assessment framework aimed at evaluating the relationships between multiple pressures and water body status for the purposes of river basin management. The framework includes the following steps. (1) Understanding how the different pressures affect the status of water bodies. This entails the characterization of biophysical state variables and the definition of a causal relationship between pressures and status. Therefore this step involves interaction between experts bearing ecological understanding and experts providing models to represent the effect of pressures. (2) Identifying the relevant pressures to be addressed through appropriate measures to improve the status of water bodies. (3) Evaluating reduction targets for the relevant pressures identified in a river basin, by weighting the effort associated to reducing individual pressures and the potential benefits in terms of water body status. (4) Designing management measures through a creative process and political discussion of alternative options, balancing costs, benefits and effectiveness based on engineering and economic analysis. (5) Simulating scenarios of implementation of a programme of measures in order to check their effectiveness and robustness against climate and land use change. We discuss the five steps of the assessment framework, and particularly the interaction between science and policy at the different stages. We review the assessment tools required at each step and, for setting optimal pressure reduction targets (step 3), we propose and illustrate a simplified multicriteria approach based on semi-quantitative assessment, which produces frontiers of optimal trade-offs between effort spent on measures, and achievements

Comparative genomics of Streptococcus macedonicus ACA-DC 198 against related species within the Streptococcus bovis/Streptococcus equinus complex

Apart from Streptococcus thermophilus other streptococci that can be found growing in milk belong to the Streptococcus bovis/Streptococcus equinus complex (SBSEC). Interestingly, Streptococcus macedonicus, which is a member of SBSEC, has been suggested to be adapted to milk and to be nonpathogenic. However, the species is phylogenetically related to Streptococcus gallolyticus and Streptococcus pasteurianus (formerly known as S. bovis biotypes I and II.2, respectively), which in turn are considered pathogenic, since they have been implicated in endocarditis and colon cancer in humans. Comparative analysis of the S. macedonicus genome with the complete genomes of its related streptococci (including that of S. infantarius, which is also a dairy isolate) indicated that a significant portion of the genomic organization has been conserved overall. Following a gene presence/absence strategy, we determined that S. macedonicus shows a reduced capacity to reside in the gastrointestinal tract of ruminants when compared to S. gallolyticus since it misses important genes for metabolizing complex carbohydrates of plant origin and for detoxifying this environment. S. macedonicus also lacks several pathogenicity traits found in S. gallolyticus. For example from the three pilus gene clusters (pil1, pil2, pil3), which may mediate the binding of S. gallolyticus to the extracellular matrix, S. macedonicus carries only one (i.e. the pil3). Gene gain events are also evident in the S. macedonicus genome sometimes originating from dairy bacteria, like the acquisition of the lactococcal plasmid pSMA198. Functional analysis of the S. macedonicus genome is necessary to further assess its pathogenic and technological potential

Identification of a Protein Mediating Respiratory Supercomplex Stability

SummaryThe complexes of the electron transport chain associate into large macromolecular assemblies, which are believed to facilitate efficient electron flow. We have identified a conserved mitochondrial protein, named respiratory supercomplex factor 1 (Rcf1—Yml030w), that is required for the normal assembly of respiratory supercomplexes. We demonstrate that Rcf1 stably and independently associates with both Complex III and Complex IV of the electron transport chain. Deletion of the RCF1 gene caused impaired respiration, probably as a result of destabilization of respiratory supercomplexes. Consistent with the hypothetical function of these respiratory assemblies, loss of RCF1 caused elevated mitochondrial oxidative stress and damage. Finally, we show that knockdown of HIG2A, a mammalian homolog of RCF1, causes impaired supercomplex formation. We suggest that Rcf1 is a member of an evolutionarily conserved protein family that acts to promote respiratory supercomplex assembly and activity

Polarization transfer in the d(epol,e' ppol)n reaction up to Q^2=1.61 (GeV/c)^2

The recoil proton polarization was measured in the d(epol,e' ppol)n reaction in Hall A of the Thomas Jefferson National Accelerator Facility (JLab). The electron kinematics were centered on the quasielastic peak (x_{Bj}~1) and included three values of the squared four-momentum transfer, Q^2=0.43, 1.00 and 1.61 (GeV/c)^2. For Q^2=0.43 and 1.61 (GeV/c)^2, the missing momentum, p_m, was centered at zero while for Q^2=1.00 (GeV/c)^2 two values of p_m were chosen: 0 and 174 MeV/c. At low p_m, the Q^2 dependence of the longitudinal polarization, P_z', is not well described by a state-of-the-art calculation. Further, at higher p_m, a 3.5 sigma discrepancy was observed in the transverse polarization, P_x'. Understanding the origin of these discrepancies is important in order to confidently extract the neutron electric form factor from the analogous d(epol,e' npol)p experiment.Comment: 6 pages, 4 figures; updated text, figures and table

Niemann–Pick type C disease as proof-of-concept for intelligent biomarker panel selection in neurometabolic disorders

AIM: Using Niemann-Pick type C disease (NPC) as a paradigm, we aimed to improve biomarker discovery in patients with neurometabolic disorders. METHOD: Using a multiplexed liquid chromatography tandem mass spectrometry dried bloodspot assay, we developed a selective intelligent biomarker panel to monitor known biomarkers N-palmitoyl-O-phosphocholineserine and 3β,5α,6β-trihydroxy-cholanoyl-glycine as well as compounds predicted to be affected in NPC pathology. We applied this panel to a clinically relevant paediatric patient cohort (n = 75; 35 males, 40 females; mean age 7 years 6 months, range 4 days-19 years 8 months) presenting with neurodevelopmental and/or neurodegenerative pathology, similar to that observed in NPC. RESULTS: The panel had a far superior performance compared with individual biomarkers. Namely, NPC-related established biomarkers used individually had 91% to 97% specificity but the combined panel had 100% specificity. Moreover, multivariate analysis revealed long-chain isoforms of glucosylceramide were elevated and very specific for patients with NPC. INTERPRETATION: Despite advancements in next-generation sequencing and precision medicine, neurological non-enzymatic disorders remain difficult to diagnose and lack robust biomarkers or routine functional testing for genetic variants of unknown significance. Biomarker panels may have better diagnostic accuracy than individual biomarkers in neurometabolic disorders, hence they can facilitate more prompt disease identification and implementation of emerging targeted, disease-specific therapies