Accessible Region Conformation Capture (ARC-C) gives high resolution insights into genome architecture and regulation

Nuclear organization and chromatin interactions are important for genome function, yet determining chromatin connections at high-resolution remains a major challenge. To address this, we developed Accessible Region Conformation Capture (ARC-C), which profiles interactions between regulatory elements genome-wide without a capture step. Applied to C. elegans, we identify ~15,000 significant interactions between regulatory elements at 500bp resolution. Of 105 TFs or chromatin regulators tested, we find that the binding sites of 60 are enriched for interacting with each other, making them candidates for mediating interactions. These include cohesin and condensin II. Applying ARC-C to a mutant of transcription factor BLMP-1 detected changes in interactions between its targets. ARC-C simultaneously profiles domain level architecture, and we observe that C. elegans chromatin domains defined by either active or repressive modifications form topologically associating domains (TADs) which interact with A/B (active/inactive) compartment-like structure. Furthermore, we discovered that inactive compartment interactions are dependent on H3K9 methylation. ARC-C is a powerful new tool to interrogate genome architecture and regulatory interactions at high resolution.

Personality differences between sex and sexual orientation group

It has been argued that because some biological underpinnings affecting personality occur in a continuum (e.g. hormonal exposure), personality scores in a given population should also occur in a continuum. Personality sex differences have been widely studied but these do not allow to study personality as a continuum. To tackle this limitation, Lippa (2001) suggested using sexual orientation. The Shift and the Inversion Hypotheses have been proposed to predict how the personality scores of homosexual participants would differ from their heterosexual counterparts. However, these efforts have been largely ignored. This study used a large UK sample to compare these hypotheses using personality scores at the facet and domain level. The results suggested that there was evidence for the Shift and the Inversion Hypotheses at the facet level, but these patterns were obscured at domain level where groups tended to cluster according to sexual orientation. Moreover, Neuroticism was often responsible for the largest differences across groups at facet and domain level.

Relationship Between Gaming Disorder, Self-Compensation Motivation, Game Flow, Time Spent Gaming, and Fear of Missing Out Among a Sample of Chinese University Students: A Network Analysis

Background and Aims: In previous correlational research, the relationship between gaming disorder (GD), compensation motivation, game flow, time spent gaming, and fear of missing out (FoMO) has been examined. However, network analysis has rarely been applied to explore the relationship between GD, self-compensation motivation, game flow, time spent gaming, and FoMO. Therefore, the present study used network analysis to examine the relationship between the aforementioned variables among a sample of gamers.Methods: The present study comprised gamers (N = 1,635) recruited from three Chinese universities, who completed an online survey including the Gaming Disorder Test, Self-Compensation Motivation Questionnaire, Game Flow Questionnaire, and Trait-State Fear of Missing Out Scale, as well as four items related to time spent gaming.Results: Self-compensation motivation, game flow, time spent gaming, and FoMO were all significantly and positively associated with GD. In the domain-level and facet-level networks, weekday gaming hours and weekend gaming hours had the strongest edge intensity. The domain-level, facet-level, and item-level networks analysis also showed that GD was connected with self-compensation motivation, game flow, time spent gaming, and FoMO. The network structure demonstrated a significant difference between males and females (2.33 vs. 2.81, p = 0.001) using the domain-level network comparison test (NCT).Conclusions: The results suggest that GD is closely associated with self-compensation motivation, game flow, time spent gaming, and FoMO. FoMO and gaming motivation (i.e., self-compensation and game flow) may increase time spent gaming and facilitate GD. Therefore, interventions that decrease game immersion and time spent gaming are likely to decrease GD.

Factors influencing performance on the Board Certified Psychiatric Pharmacist Examination: Passing rates and domain-level scores

The Board Certified Psychiatric Pharmacist (BCPP) specialty certification was launched by the Board of Pharmacy Specialties in 1994. Candidates for the BCPP can qualify for the examination through 3 possible pathways: practice experience (4 years) in the specialty, completion of a PGY-1 residency plus an additional 2 years of practice experience, or completion of a PGY-2 specialty residency in psychiatric pharmacy. Recent fluctuations in the passing rate raised questions as to explanatory factors. This article represents the first published comprehensive study of candidate performance on the BCPP Examination. It describes a retrospective, observational study presenting (a) statistical trends of examination passing rates for biannual cohorts over the past 5 years, as well as (b) score distributions on the 3 performance domains of the certification. Pass-rate trend analyses suggest that variation in the proportion of eligibility pathway cohorts in the respective testing samples explains some of the fluctuation in passing rates. An analysis of variance of domain-level scores, using groups defined by eligibility pathway, yielded significant differences for nearly all group comparisons. Evaluation of the effect sizes suggest that the most disparate performance was observed on the core clinical domain, Patient-Centered Care. The results of this study are consistent with previously published research and will inform the upcoming role delineation study for the Psychiatric Pharmacy Certification.

Minority Stress as a Multidimensional Predictor of LGB+ Adolescents’ Mental Health Outcomes

The minority stress model has been used to explain added daily stressors that non-heterosexual (LGB+) individuals experience. While the emphasis of minority stress research is frequently broad (global minority stress) or narrow (specific stressors) in focus, the literature often refers to specific stressors at the domain level as either distal (external) or proximal (internal). This study found that, compared with broad and narrow levels, a domain level approach may be best for understanding the predictive value of minority stress. Multiple regression analyses with a sample of 152 LGB+ adolescents found that distal stress predicted substance misuse (p < .001) and suicidality (p = .002) and was a stronger predicter than proximal stress for psychological inflexibility. This study might contribute to an evidence base that could guide measurement approaches for assessing minority stress and using related results to inform the prediction of—and, ultimately, intervention with—LGB+ adolescents’ mental health outcomes.

Automated exploration of DNA-based structure self-assembly networks

Finding DNA sequences capable of folding into specific nanostructures is a hard problem, as it involves very large search spaces and complex nonlinear dynamics. Typical methods to solve it aim to reduce the search space by minimizing unwanted interactions through restrictions on the design (e.g. staples in DNA origami or voxel-based designs in DNA Bricks). Here, we present a novel methodology that aims to reduce this search space by identifying the relevant properties of a given assembly system to the emergence of various families of structures (e.g. simple structures, polymers, branched structures). For a given set of DNA strands, our approach automatically finds chemical reaction networks (CRNs) that generate sets of structures exhibiting ranges of specific user-specified properties, such as length and type of structures or their frequency of occurrence. For each set, we enumerate the possible DNA structures that can be generated through domain-level interactions, identify the most prevalent structures, find the best-performing sequence sets to the emergence of target structures, and assess CRNs' robustness to the removal of reaction pathways. Our results suggest a connection between the characteristics of DNA strands and the distribution of generated structure families.

Structure of Pathological Personality Traits through the Lens of the CAT-PD Model

Personality pathology is increasingly conceptualized within hierarchical, dimensional trait models. The Comprehensive Assessment of Traits Relevant to Personality Disorders (CAT-PD) is a measure of pathological traits with wider coverage than prevailing instruments—however, its domain-level structure is not established. In this pre-registered study, we investigated the domain level of the CAT-PD to provide structural evidence and construct validation of the higher-order structure of personality pathology using a more comprehensive set of lower-order traits than predominant measures. We estimated five- and six-factor models with exploratory factor analysis in a pooled sample of 8 independent subsamples (N=3,987) and found that both models fit the data well, each had interpretable factors that were invariant across gender and sample type, and the factors had good convergent validity with other maladaptive traits, Big Five personality, and interpersonal problems. Our results support the validity of the CAT-PD for assessing multiple levels of the pathological trait hierarchy.

How Do Basic Personality Traits Map Onto Moral Judgments of Fairness-Related Actions?

Reliance on fairness norms is a core feature of moral behavior and judgment, and is conceptually and empirically linked with basic personality dimensions. However, the specific nature of these links is poorly understood. In this study ( N = 313, 68% female), we employed a novel third-party judgment paradigm, in which participants made moral judgments of various sharing actions of virtual others. This allowed us to capture individual variation in the relative importance of several fairness norms. We correlated these norm profiles with Big Five personality traits. We observed distinct associations between agreeableness, conscientiousness, openness, and extraversion and estimates of the importance of generosity, selfishness, relative generosity, and relative selfishness norms. Comparisons of these associations at the domain- versus facet-level of personality traits suggested these relations are specific to domain-level traits. These findings are an important step toward unraveling the complex links between fairness norms and basic personality traits.

Seasonal and annual changes in the microbial communities of Ofunato Bay, Japan, based on metagenomics

Five years of datasets from 2015 to 2019 of whole genome shotgun sequencing for cells trapped on 0.2-µm filters of seawater collected monthly from Ofunato Bay, an enclosed bay in Japan, were analysed, which included the 2015 data that we had reported previously. Nucleotide sequences were determined for extracted DNA from three locations for both the upper (1 m) and deeper (8 or 10 m) depths. The biotic communities analysed at the domain level comprised bacteria, eukaryotes, archaea and viruses. The relative abundance of bacteria was over 60% in most months for the five years. The relative abundance of the SAR86 cluster was highest in the bacterial group, followed by Candidatus Pelagibacter and Planktomarina. The relative abundance of Ca. Pelagibacter showed no relationship with environmental factors, and those of SAR86 and Planktomarina showed positive correlations with salinity and dissolved oxygen, respectively. The bacterial community diversity showed seasonal changes, with high diversity around September and low diversity around January for all five years. Nonmetric multidimensional scaling analysis also revealed that the bacterial communities in the bay were grouped in a season-dependent manner and linked with environmental variables such as seawater temperature, salinity and dissolved oxygen.

Interactions between temperature and energy supply drive microbial communities in hydrothermal sediment

Temperature and bioavailable energy control the distribution of life on Earth, and interact with each other due to the dependency of biological energy requirements on temperature. Here we analyze how temperature-energy interactions structure sediment microbial communities in two hydrothermally active areas of Guaymas Basin. Sites from one area experience advective input of thermogenically produced electron donors by seepage from deeper layers, whereas sites from the other area are diffusion-dominated and electron donor-depleted. In both locations, Archaea dominate at temperatures >45 °C and Bacteria at temperatures <10 °C. Yet, at the phylum level and below, there are clear differences. Hot seep sites have high proportions of typical hydrothermal vent and hot spring taxa. By contrast, high-temperature sites without seepage harbor mainly novel taxa belonging to phyla that are widespread in cold subseafloor sediment. Our results suggest that in hydrothermal sediments temperature determines domain-level dominance, whereas temperature-energy interactions structure microbial communities at the phylum-level and below.