Fungal Hyphosphere Microbiomes Are Distinct from Surrounding Substrates and Show Consistent Association Patterns

Mat-forming fungi are common in forest and grassland soils across the world, where their activity contributes to important soil ecological processes. These fungi maintain dominance through aggressive and abundant hyphae that modify their internal physical and chemical environments and through these modifications select for what appears to be a suite of mycophilic bacteria. Here, the bacteria associated with the fungal mats of Leucopaxillus gentianeus and Leucopaxillus albissimus from western North America are compared to adjacent nonmat substrates. Within the mats, the bacterial richness and diversity were significantly reduced, and the community composition was significantly different. The bacterial community structure between the two fungal hosts was marginally significant and indicated a shared set of bacterial associates. The genera Burkholderia, Streptomyces, Bacillus, Paenibacillus, and Mycobacterium were significantly abundant within the fungal mats and represent core members of these hypha-rich environments. Comparison with the literature from fungal mat studies worldwide showed that these genera are common and often significantly found within fungal mats, further reinforcing the concept of a mycophilic bacterial guild. These genera are incorporated into a synthesis discussion in the context of our current understanding of the nature of fungal-bacterial interactions and the potential outcomes of these interactions in soil nutrient cycling, plant productivity, and human health. IMPORTANCE Fungi and bacteria are the most abundant and diverse organisms in soils (perhaps more so than any other habitat on earth), and together these microorganisms contribute to broad soil ecosystem processes. There is a suite of bacteria that appears consistently within the physical space called the hyphosphere, the area of influence surrounding fungal hyphae. How these bacteria are selected for, how they are maintained, and what broader ecological functions they perform are subjects of interest in this relatively new field-the cross-kingdom interactions between fungi and bacteria. Understanding their cooccurrence and their interactions can open new realms of understanding in soil ecological processes with global consequences.

The relationship between big five personality traits, coping strategies, and emotional problems through the COVID-19 pandemic

Considering the impact of pandemic condition on mental health and functioning in daily life, the main purpose of this study was to investigate the relationship between Big Five personality traits, coping strategies and emotional problems such as symptoms of depression and anxiety, during the COVID-19 pandemic period. Specifically, the purpose of this study is to create a model of the impact of coping strategies as mediating factors in the relationship between Big Five personality traits personality traits and emotional problems. For the purposes of this study, a sample of 200 Kosovar respondents was used, where the age of the participants varies from 18 to 54 years. As a result of the pandemic situation created, the method of data collection for this study was done in the form of self-reporting, divided into physical questionnaires and online ones. The BFI Personality Inventory is used to classify Big Five personality traits, the Coping Control Checklist (WCCL) to classify coping strategies, and the Adult Self-Reporting Questionnaire (ASR) used to identify emotional problems. The analysis of the results in this study was done by means of the statistical package of SPSS and R program. After the analysis, it is seen that there is a significant correlation between Big Five personality traits (extraversion and neuroticism) and coping strategies (seeking social support and avoidance), as well as there is a correlation between Big Five personality traits (compliance and neuroticism) and emotional problems (symptoms of anxiety and depression). An association was also found between coping strategies (avoidance) and emotional problems (anxiety symptoms). As for gender differences in experiencing anxiety and depression symptoms and using desired thoughts as coping strategies, it was found that women are more predisposed to experience anxiety symptoms and use desired thoughts than men. The findings highlighted the part that coping strategies are significant mediator factors in the relationship between Big Five personality traits and emotional problems.

Psychometric properties of the Brazilian version of the Big Five Inventory

INTRODUCTION

There is growing interest in the fields of psychiatry and psychology in investigating the relationship between personality and psychopathology. The Big-5 is a model developed to investigate five personality dimensions: Extroversion, Agreeableness, Conscientiousness, Neuroticism, and Openness. In the present study, we describe the process of translation into Brazilian Portuguese and adaptation of a free tool to evaluate the Big-5 model: The Big-5 Inventory (BFI). The instrument has 44 items with a Likert response scale ranging from 1 to 5.

OBJECTIVES

To translate and adapt the BFI into Brazilian Portuguese.

METHODS

The adaptation was conducted in the following steps: 1) Translation, 2) Evaluation Committee, 3) Back-translation, 4) Pilot study, 5) Evaluation Committee, and 6) Application. The sample comprised 490 participants from various regions of Brazil. The participants' ages ranged from 18 to 71 years, most of them had completed high school (62.9%), and the majority were women (75%).

RESULTS

A model with the following fit indexes was found: χ2/df: 1.954; goodness fit index (GFI): 0.924; comparative fit index (CFI): 0.920; and root mean square error of approximation (RMSEA): 0.044.

CONCLUSION

The results are suggestive that the Brazilian version of this instrument has good psychometric properties and represent a cost-free option for investigating associations with the Big-5 in psychiatry.

Impact of Cutaneous Blood Flow on NIR-DCS Measures of Skeletal Muscle Blood Flow Index

Near-infrared diffuse correlation spectroscopy (NIR-DCS) is an optical technique for estimating relative changes in skeletal muscle perfusion during exercise, but may be affected by changes in cutaneous blood flow, as photons emitted by the laser must first pass through the skin. Accordingly, the purpose of this investigation was to examine how increased cutaneous blood flow affects NIR-DCS blood flow index (BFI) at rest and during exercise using a passive whole-body heating protocol that increases cutaneous, but not skeletal muscle, perfusion in the uncovered limb. BFI and cutaneous perfusion (laser Doppler flowmetry) were assessed in 15 healthy young subjects before (e.g., rest) and during 5-minutes of moderate-intensity hand-grip exercise in normothermic conditions and after cutaneous blood flow was elevated via whole-body heating. Hyperthermia significantly increased both cutaneous perfusion (~7.3-fold; p≤0.001) and NIR-DCS BFI (~4.5-fold; p≤0.001). Although relative BFI (i.e., fold-change above baseline) exhibited a typical exponential increase in muscle perfusion during normothermic exercise (2.81±0.95), there was almost no change in BFI during hyperthermic exercise (1.43±0.44). A subset of 8 subjects were subsequently treated with intradermal injection of botulinum toxin-A (Botox) to block heating-induced elevations in cutaneous blood flow, which 1) nearly abolished the hyperthermia-induced increase in BFI, and 2) restored BFI kinetics during hyperthermic exercise to values that were not different from normothermic exercise (p=0.091). Collectively, our results demonstrate that cutaneous blood flow can have a substantial, detrimental impact on NIR-DCS estimates of skeletal muscle perfusion and highlight the need for technical and/or pharmacological advancements to overcome this issue moving forward.

A new classification criterion for the biofilm formation index: A study of the biofilm dynamics of pathogenic Vibrio species isolated from seafood and food contact surfaces

The bacterial biofilm formation index (BFI) is measured by a microtiter plate assay, and it is typically performed at 72 hr. However, the dynamics of biopolymer formation change during this incubation period. The aims of this study were to follow the biofilm formation dynamics of Vibrio strains isolated from samples of seafood and food contact surfaces (FCS) and to propose a new BFI classification criterion. Samples from seafood (136) and FCS (14) were collected from retail markets in Queretaro, Mexico. The presence of Vibrio spp. was determined, the strains were isolated, and the six major pathogenic species (V. cholerae, V. alginolyticus, V. fluvialis, V. parahaemolyticus, V. vulnificus, V. mimicus) were identified by PCR. The BFI of the isolates was determined by the microtiter plate method. Fifty-one strains were isolated and identified as V. alginolytivcus (25), V. vulnificus (12), V. cholerae (7), V. parahaemolyticus (6), and V. mimicus (1). A quantitative classification criterion of biofilm formation was proposed based on the following factors: BFI dynamics (no formation, continuous increase, and increase followed by decrease), time of maximum BFI (early: 24 hr; late: 48 to 72 hr), and degree of BFI (none, weak, moderate, and strong). A numerical value was assigned to each factor to correlate the resulting BFI profile with a risk level. Thirteen BFI profiles were observed, having risk level values from 0 to 10. Vibrio alginolyticus, V. cholerae, and V. vulnificus showed the highest BFI profile diversities, which included the riskiest profiles. The proposed BFI criterion describes the dynamics of bacterial biopolymer formation and associates them with the possible risk implications. PRACTICAL APPLICATION: In food processing environments, the presence of bacterial biofilms that could include foodborne pathogens might favor cross-contamination due to direct contact or biofilm dispersal into food products. The new quantitative classification criterion for biofilm formation considers their production dynamics over time, the biofilm quantity, and the level of biofilm dispersal. These characteristics are represented by a numerical value that reflects the level of risk associated with the presence of a biofilm-producing strain on a food contact surface.

The Actor, Partner, Similarity Effects of Personality, and Interactions with Gender and Relationship Duration among Chinese Emerging Adults

Understanding personality effects and their role in influencing relationship quality, varied according to gender and relationship duration, could help us better understand close relationships. Participants were Chinese dating dyads and were asked to complete both the Big Five Inventory and Perceived Relationship Quality Component scales. Males and those who had a long-term relationship perceived better relationship quality; individuals who scored higher on agreeableness, conscientiousness, openness, and emotional stability enjoyed better relationship quality; gender and/or relationship duration moderated the actor effect of extraversion and the partner effects of conscientiousness, emotional stability, and openness on relationship quality. Regarding the profile similarity, those couples who were more dissimilar in their profile personality had better relationship quality, especially when they were in a relatively long-term relationship. Meanwhile, with an increase in profile similarity, the males' perceived relationship quality decreased.

[Does the French Big Five Inventory evaluate facets other than the Big Five factors?]

INTRODUCTION

The Big Five Inventory (BFI) developed by John et al. (1991) is one of the most widely accepted tools for assessing dimensions of personality. It comprises 44 items that assess five broad dimensions of personality (the Big Five Factors): Extraversion, Agreeableness, Conscientiousness, Neuroticism and Openness to experience. Based on correlations with the facets described in the NEO Personality Inventory Revised (NEO PI-R), another Big Five assessment tool with 240 items and 6 facets per dimension, Soto and John (2009) showed that the dimensions in the BFI could be divided into two facets each (ten facets altogether). These results are in line with those of DeYoung et al. (2007), who ran factorial analyses with all the NEO PI-R facets and the International Personality Item Pool (IPIP) and identified ten intermediate factors (between facets and dimensions) which they called "aspects" (two per dimension). The goal of the present study is to investigate the ten facets described by Soto and John in a French sample, using the French version of the BFI (BFI-Fr), which has good psychometric properties, and to check whether the pattern of correlations of these facets with the NEO PI-R match those of the American version.

METHOD

We created three groups. The first comprised 360 students from the Institut libre d'éducation physique supérieure (ILEPS) and Tours University (psychology undergraduates). Participants (mean age 21.1 years±2.30; 58% women) completed the BFI-Fr and the NEO PI-R. The second comprised 142 psychology students from Tours University (mean age 20.6 years±1.78; 81% women); they completed the BFI-Fr twice, two weeks apart (test and retest). The third comprised 252 psychology students from Paris-Nanterre University (mean age 23 years±4.2; 89% women) who described a total of 405 people they knew well (mean age 35.2±10.8; 49% women) using the peer-report format of the BFI-Fr.

RESULTS

In the self-report format, eight of Soto and John's ten aspects had acceptable internal consistency (based on Guildford's (1954) internal consistency criteria, due to the small number of items), with Cronbach's α between 0.60 and 0.86 and test-retest correlations between 0.71 and 0.89, showing satisfactory temporal stability. We found a single facet for Extraversion (Assertiveness), two for Agreeableness (Altruism and Compliance), two for Conscientiousness (Self-Discipline and Order), one for Neuroticism (Anxiety), and two for Openness to Experience (Openness to aesthetics and Openness to ideas). Based on their convergence with the corresponding facets in the NEO PI-R, these eight facets showed satisfactory external validity. With regard to the peer-report format, the Activity facet of Extraversion, which did not have sufficient internal consistency in the self-report format, had acceptable properties (i.e. 9 out of 10 facets). Only the Depression facet of Neuroticism still had insufficient internal consistency. In this study, we proposed an improvement of two facets (Activity and Compliance) and added one facet specific to the French version (Emotional Instability) in place of the Depression facet.

DISCUSSION

We showed that the BFI-Fr can be used to assess nine of the ten facets described by Soto and John. We also identified an Emotional Instability facet, replacing the Depression facet of Neuroticism. DeYoung et al. (2007) considered that anxiety and depression are indissociable and can be represented by a Neuroticism aspect they labeled Withdrawal. They suggested a second aspect of this dimension they called Volatility (with the N2 Angry Hostility facet of the NEO PI-R as main marker and the N5 Impulsiveness and N3 Depression as secondary markers). The Emotional Instability facet we found corresponds closely to the N2 Angry Hostility facet of the NEO PI-R and appears to be a satisfactory marker of DeYoung et al.'s (2007) Volatility aspect. Although this study has limitations, particularly related to the samples (students), the BFI-Fr facets (derived from those defined by Soto and John in the BFI or proposed as improvements on the original facets) match the corresponding NEO PI-R facets and can also be seen as main markers of the aspects defined by DeYoung et al.

Random intercept EFA of personality scales

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Random Intercept EFA (RI-EFA) adjusts for acquiescence bias in self-reports.

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RI-EFA was examined with regard to the NEO-FFI and BFI personality scales.

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RI-EFA provides better model-to-data fit than standard CFA or EFA.

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The clarity of Big Five factor structures improves when applying RI-EFA.

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RI-EFA can be extended to further analytical applications.

Previous research suggests that simple structure CFAs of Big Five personality measures fail to accurately reflect the scale’s complex factorial structure, whereas EFAs generally perform better. Another strand of research suggests that acquiescence or uniform response bias masks the scale’s “true” factorial structure. Random Intercept EFA (RI-EFA) captures acquiescence as well as the complex item-factor structure typical for personality measures. It is applied to the NEO-FFI and the BFI scale to test whether an accurate model-to-data fit can be achieved and whether the “clarity” of the factorial structure improves. The results lend confidence in the general effectiveness of RI-EFA whenever acquiescence bias is an issue. Example Mplus code is provided for replication.

Interleaved imaging of cerebral hemodynamics and blood flow index to monitor ischemic stroke and treatment in rat by volumetric diffuse optical tomography

Diffuse optical tomography (DOT) has been used by several groups to assess cerebral hemodynamics of cerebral ischemia in humans and animals. In this study, we combined DOT with an indocyanine green (ICG)-tracking method to achieve interleaved images of cerebral hemodynamics and blood flow index (BFI) using two middle cerebral artery occlusion (MCAO) rat models. To achieve volumetric images with high-spatial resolution, we first integrated a depth compensation algorithm (DCA) with a volumetric mesh-based rat head model to generate three-dimensional (3D) DOT on a rat brain atlas. Then, the experimental DOT data from two rat models were collected using interleaved strategy for cerebral hemodynamics and BFI during and after ischemic stroke, with and without a thrombolytic therapy for the embolic MCAO model. The acquired animal data were further analyzed using the integrated rat-atlas-guided DOT method to form time-evolving 3D images of both cerebral hemodynamics and BFI. In particular, we were able to show and identify therapeutic outcomes of a thrombolytic treatment applied to the embolism-induced ischemic model. This paper demonstrates that volumetric DOT is capable of providing high-quality, interleaved images of cerebral hemodynamics and blood perfusion in small animals during and after ischemic stroke, with excellent 3D visualization and quantifications.