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Background Ralstonia solanacearum is a vascular soil-borne plant pathogen with an unusually broad host range. This economically destructive and globally distributed bacterium has thousands of distinct lineages within a heterogeneous and taxonomically disputed species complex. Some lineages include highly host-adapted strains (ecotypes), such as the banana Moko disease-causing strains, the cold-tolerant potato brown rot strains (also known as R3bv2) and the recently emerged Not Pathogenic to Banana (NPB) strains. Results These distinct ecotypes offer a robust model to study host adaptation and the emergence of ecotypes because the polyphyletic Moko strains include lineages that are phylogenetically close to the monophyletic brown rot and NPB strains. Draft genomes of eight new strains belonging to these three model ecotypes were produced to complement the eleven publicly available R. solanacearum genomes. Using a suite of bioinformatics methods, we searched for genetic and evolutionary features that distinguish ecotypes and propose specific hypotheses concerning mechanisms of host adaptation in the R. solanacearum species complex. Genome-wide, few differences were identified, but gene loss events, non-synonymous polymorphisms, and horizontal gene transfer were identified among type III effectors and were associated with host range differences. Conclusions This extensive comparative genomics analysis uncovered relatively few divergent features among closely related strains with contrasting biological characteristics; however, several virulence factors were associated with the emergence of Moko, NPB and brown rot and could explain host adaptation.

InMaking and Remaking Horror in the 1970s and 2000sauthor David Roche takes up the assumption shared by many fans and scholars that original horror movies are more \"disturbing,\" and thus better than the remakes. He assesses the qualities of movies, old and recast, according to criteria that include subtext, originality, and cohesion. With a methodology that combines a formalist and cultural studies approach, Roche sifts aspects of the American horror movie that have been widely addressed (class, the patriarchal family, gender, and the opposition between terror and horror) and those that have been somewhat neglected (race, the Gothic, style, and verisimilitude). Containing seventy-eight black and white illustrations, the book is grounded in a close comparative analysis of the politics and aesthetics of four of the most significant independent American horror movies of the 1970s--The Texas Chain Saw Massacre, The Hills Have Eyes, Dawn of the Dead,andHalloween--and their twenty-first-century remakes. To what extent can the politics of these films be described as \"disturbing\" insomuch as they promote subversive subtexts that undermine essentialist perspectives? Do the politics of the film lie on the surface or are they wedded to the film's aesthetics? Early in the book, Roche explores historical contexts, aspects of identity (race, ethnicity, and class), and the structuring role played by the motif of the American nuclear family. He then asks to what extent these films disrupt genre expectations and attempt to provoke emotions of dread, terror, and horror through their representations of the monstrous and the formal strategies employed? In this inquiry, he examines definitions of the genre and its metafictional nature. Roche ends with a meditation on the extent to which the technical limitations of the horror films of the 1970s actually contribute to this \"disturbing\" quality. Moving far beyond the genre itself,Making and Remaking Horrorstudies the redux as a form of adaptation and enables a more complete discussion of the evolution of horror in contemporary American cinema.

Oxygen tolerant complex metal-dependent formate dehydrogenases hold potential for biotechnological applications. In this work, we report the functional expression of the complex, molybdenum-dependent soluble formate dehydrogenase encoded by the fdsGBACD operon from Cupriavidus necator (CnFDH) in Escherichia coli. Expression of the operon from plasmids or from a copy integrated in the chromosome enabled growth of an energy-auxotrophic selection strain on formate as sole energy source under aerobic conditions. Growth could be accelerated in turbidostat, leading to a drop of the generation time of 1 hour. While no mutation was found in the operon of evolved isolates, genome sequencing revealed non-synonymous point mutations in the gene focA coding for a bidirectional formate transporter carried in all isolates sequenced. Reverting the mutations led to a drop in the growth rate demonstrating the focA gene as principal target of continuous culture adaptation. A member of the oxygen-tolerant subclass of complex FDH showed stable formate oxidation activity when expressed in the heterologous host E. coli, a model organism of biotechnology. The integration of the operon in the chromosome offers the possibility of structure/function studies and activity enhancements through in vivo mutagenesis, which can also be applied to CO2 reduction in appropriate selection hosts.

Background Attention-Deficit/Hyperactivity Disorder (ADHD) prevalence rates are around 5–10% of school-aged children. We test whether medication use for ADHD decreases the likelihood of risky behaviour (sexual behaviour, alcohol, tobacco, and drug consumption) and injuries amongst children aged 6–18. Methods We use a large administrative dataset for the whole population of Catalan children in Spain who were born between 1998 and 2012. We apply a scale that contains alternative definitions of ADHD so that over-diagnosis is also identified and estimate a count data model to explain the number of visits whilst accounting for confounding. Our identification strategy relies on instrumenting medication using an average indicator of the probability of prescribing medication for each most visited healthcare centre provider. Results Our results suggest that medication use significantly reduced the number of visits of children diagnosed with ADHD for injuries but not risky behaviour. This finding is robust irrespective of the considered span or the grace period after including ADHD-related comorbidities as controls. Conclusion In line with previous literature, medication use amongst children with ADHD reduces the prevalence of injuries but not risky behaviours.

Background This research project aims to build a Machine Learning algorithm (ML) to predict first‐time ADHD diagnosis, given that it is the most frequent mental disorder for the non‐adult population. Methods We used a stacked model combining 4 ML approaches to predict the presence of ADHD. The dataset contains data from population health care administrative registers in Catalonia comprising 1,225,406 non‐adult individuals for 2013–2017, linked to socioeconomic characteristics and dispensed drug consumption. We defined a measure of proper ADHD diagnoses based on medical factors. Results We obtained an AUC of 79.6% with the stacked model. Significant variables that explain the ADHD presence are the dispersion across patients' visits to healthcare providers; the number of visits, diagnoses related to other mental disorders and drug consumption; age, and sex. Conclusions ML techniques can help predict ADHD early diagnosis using administrative registers. We must continuously investigate the potential use of ADHD early detection strategies and intervention in the health system. We considered a large‐scale population‐based study applying Machine Learning (ML) to ADHD disease in non‐adults in Catalonia, Spain. The Spanish healthcare system provides free universal healthcare, so we cover all healthcare providers. Our findings show an overall prediction accuracy of more than 84% predicting ADHD diagnosis based on demographic data and health system records. The possible early detection of ADHD is very relevant because of its prevalence of 3.4% of the child‐adolescent population.

Long‐term ecological studies are critical for providing insight into population dynamics and detecting population declines, particularly for species of conservation concern. However, spatiotemporal variation and logistical challenges make the identification of sudden population declines difficult. We conducted an in‐water capture‐mark‐recapture study of mangrove diamond‐backed terrapins (Malaclemys terrapin rhizophorarum) within Big Sable Creek, in Everglades National Park, Florida. We used an 18‐year dataset (2001 to 2019) incorporating year, sex, hurricane occurrence, and sampling effort to estimate survival using Cormack–Jolly–Seber (CJS) models in Program Mark. Annual survivorship estimates were high from 2001 to 2003 for both sexes (91%–96%) and variable from 2006 to 2014 (77%–92%). Beginning in 2015, survival estimates exhibited a steeper decline (females: 65%, males 75%), and dropped to below 36% by 2018. Because the driver of this apparent population decline is unknown, we created a population projection matrix and used model‐estimated annual survival to simulate annual terrapin population size. We then generated competing scenarios of low survival at various age classes to attempt to reproduce a simulated decline mirroring what we observed from our capture data. A scenario of low adult survival (75%–85%) from 2012 to 2018, possibly in conjunction with no reproduction after 2010, provides estimates of abundance that appear to match simulated annual population size and may indicate that adult emigration/human removal or a drastic drop in recruitment could be responsible for the apparent decline in survival. We explore reasons for this apparent decline and highlight difficulties common to long‐term studies that may influence how declines are interpreted. Annual sex‐specific survival estimates for mangrove diamond‐backed terrapins (Malaclemys terrapin rhizophorarum) in Everglades National Park from 2001 to 2019.

IntroductionThis study aims to empirically identify key predictors of antibiotic resistance at the individual level and to evaluate how the relationship between antibiotic use and resistance evolves as accumulated antibiotic-defined daily dose (DDD) levels exceed specific thresholds. To capture these non-linear dynamics, we apply a threshold regression framework.MethodsA longitudinal population-based observational study using a comprehensive administrative dataset from Catalonia (2014–2021), focusing on 2 924 590 individuals born before 1965 under a universal healthcare system. Antibiotic resistance was identified using diagnostic codes and was observed among 17 466 individuals (0.6%) during the study period. Antibiotic exposure was defined as the number of dispensed systemic antibiotics (ATC J01) per DDD, calculated as the sum of cumulative consumption and the maximum use over six consecutive months. Machine learning techniques (logistic regression, decision trees, random forests and gradient-boosting, combined in a stacked ensemble) were employed to identify factors associated with antibiotic resistance, while accounting for sociodemographic characteristics, morbidity status, regional factors and antibiotic consumption. Model performance was evaluated using standard classification metrics. Threshold regression models, optimised using genetic algorithms, were applied to detect non-linearities in the relationship between cumulative antibiotic consumption and resistance.ResultsMachine learning models demonstrated good predictive performance (area under the curve 0.90, 95% CI 0.90 to 0.91; 0.83, 95% CI 0.82 to 0.83) in the stacked model. Antibiotic consumption emerged as one of the strongest predictors of resistance. Threshold regression revealed substantial heterogeneity in the association between accumulated antibiotic use and diminishing marginal effects beyond specific DDD thresholds, indicating that additional consumption at high levels was associated with smaller increases in resistance.ConclusionsThese findings suggest that interventions targeting excessive antibiotic use, particularly below identified threshold levels, and tailored to specific sociodemographic and regional contexts, may be effective in mitigating antibiotic resistance. Accounting for non-linear consumption–resistance dynamics is essential for informing antibiotic stewardship policies.

While Western films can be seen as a mode of American exceptionalism, they have also become a global genre. Around the world, Westerns exemplify colonial cinema, driven by the exploration of racial and gender hierarchies and the progress and violence shaped by imperialism. Transnationalism and Imperialism: Endurance of the Global Western Film traces the Western from the silent era to present day as the genre has circulated the world. Contributors examine the reception and production of American Westerns outside the US alongside the transnational aspects of American productions, and they consider the work of minority directors who use the genre to interrogate a visual history of oppression. By viewing Western films through a transnational lens and focusing on the reinterpretations, appropriations, and parallel developments of the genre outside the US, editors Hervé Mayer and David Roche contribute to a growing body of literature that debunks the pervasive correlation between the genre and American identity. Perfect for media studies and political science, Transnationalism and Imperialism reveals that Western films are more than cowboys; they are a critical intersection where issues of power and coloniality are negotiated.

Metformin is one of the most prescribed antidiabetic agents worldwide and is also considered for other therapeutic applications including cancer and endocrine disorders. It is largely unmetabolized by human enzymes and its presence in the environment has raised concern, with reported toxic effects on aquatic life and potentially also on humans. We report on the isolation and characterisation of strain MD1, an aerobic methylotrophic bacterium growing with metformin as its sole carbon, nitrogen and energy source. Strain MD1 degrades metformin into dimethylamine used for growth, and guanylurea as a side-product. Sequence analysis of its fully assembled genome showed its affiliation to Aminobacter niigataensis. Differential proteomics and transcriptomics, as well as mini-transposon mutagenesis of the strain, point to genes and proteins essential for growth with metformin and potentially associated with hydrolytic C-N cleavage of metformin or with cellular transport of metformin and guanylurea. The obtained results suggest the recent evolution of the growth-supporting capacity of strain MD1 to degrade metformin. Our results identify candidate proteins of the enzymatic system for metformin transformation in strain MD1 and will inform future research on the fate of metformin and its degradation products in the environment and in humans.