Response Patterns Research Articles

Electrocortical responses in anticipation of avoidable and inevitable threats: a multisite study.

When faced with danger, human beings respond with a repertoire of defensive behaviors, including freezing and active avoidance. Previous research has revealed a pattern of physiological responses, characterized by heart rate bradycardia, reduced visual exploration, and heightened sympathetic arousal in reaction to avoidable threats, suggesting a state of attentive immobility in humans. However, the electrocortical underpinnings of these behaviors remain largely unexplored. To investigate the visuocortical components of attentive immobility, we recorded parieto-occipital alpha activity, along with eye-movements and autonomic responses, while participants awaited either an avoidable, inevitable, or no threat. To test the robustness and generalizability of our findings, we collected data from a total of 101 participants (76 females, 35 males) at two laboratories. Across sites, we observed an enhanced suppression of parieto-occipital alpha activity during avoidable threats, in contrast to inevitable or no threat trials, particularly towards the end of the trial that prompted avoidance responses. This response pattern coincided with heart rate bradycardia, centralization of gaze and increased sympathetic arousal. Furthermore, our findings expand on previous research by revealing that the amount of alpha suppression, along with centralization of gaze, and heart rate changes, predict the speed of motor responses. Collectively, these findings indicate that when individuals encounter avoidable threats, they enter a state of attentive immobility, which enhances perceptual processing and facilitates action preparation. This state appears to reflect freezing-like behavior in humans.Significance Statement In response to avoidable danger, organisms often exhibit freezing-like behavior. Recent research suggests that freezing is not merely a passive response but involves a state of attentive immobility aimed at enhancing threat avoidance and perception. However, the attentional mechanisms involved in response to avoidable threats at the level of the brain remain poorly understood. To address this gap, we employed EEG, eye-tracking, and measurements of autonomic activity. Our findings revealed a suppression of EEG alpha power, along with cardiac deceleration, reduced eye-movements, and heightened sympathetic activity during the anticipation of avoidable threats. Moreover, this response pattern was predictive of motor response times. These results underscore the significance of heightened perceptual processing during freezing-like states in humans.

Integrative Approaches to Abiotic Stress Management in Crops: Combining Bioinformatics Educational Tools and Artificial Intelligence Applications

Abiotic stresses, including drought, salinity, extreme temperatures and nutrient deficiencies, pose significant challenges to crop production and global food security. To combat these challenges, the integration of bioinformatics educational tools and AI applications provide a synergistic approach to identify and analyze stress-responsive genes, regulatory networks and molecular markers associated with stress tolerance. Bioinformatics educational tools offer a robust framework for data collection, storage and initial analysis, while AI applications enhance pattern recognition, predictive modeling and real-time data processing capabilities. This review uniquely integrates bioinformatics educational tools and AI applications, highlighting their combined role in managing abiotic stress in plants and crops. The novelty is demonstrated by the integration of multiomics data with AI algorithms, providing deeper insights into stress response pathways, biomarker discovery and pattern recognition. Key AI applications include predictive modeling of stress resistance genes, gene regulatory network inference, omics data integration and real-time plant monitoring through the fusion of remote sensing and AI-assisted phenomics. Challenges such as handling big omics data, model interpretability, overfitting and experimental validation remain there, but future prospects involve developing user-friendly bioinformatics educational platforms, establishing common data standards, interdisciplinary collaboration and harnessing AI for real-time stress mitigation strategies in plants and crops. Educational initiatives, interdisciplinary collaborations and trainings are essential to equip the next generation of researchers with the required skills to utilize these advanced tools effectively. The convergence of bioinformatics and AI holds vast prospects for accelerating the development of stress-resilient plants and crops, optimizing agricultural practices and ensuring global food security under increasing environmental pressures. Moreover, this integrated approach is crucial for advancing sustainable agriculture and ensuring global food security amidst growing environmental challenges.

Scaling up the Natural Mode of Action of Macrophyte Allelochemicals and Their Effect on Toxic Cyanobacteria Using a Nitrogen-Limited Chemostat

This study investigates the inhibitory and hormetic effects of Myriophyllum spicatum extract on Microcystis aeruginosa in a controlled, continuous culture environment. To address the global challenge posed by harmful algal blooms, we used a range of extract concentrations to delineate the growth response patterns. At very low concentrations (6.25 and 12.5 mg/L), the addition of M. spicatum extract shows no discernible reduction in M. aeruginosa cell density or growth rate; instead, a slight increase is observed during exposure, suggesting a hormetic effect. However, at higher concentrations (75 and 100 mg/L), there is a drastic reduction of more than 50% in cell density and growth rate at 75 mg/L, with complete inhibition at 100 mg/L, leading to pronounced oxidative stress, damage to antioxidant defense systems, and increased cell mortality. Increased levels of malondialdehyde, catalase, and superoxide dismutase activities indicate the involvement of these enzymes in combating oxidative stress. Furthermore, intracellular and extracellular microcystins were significantly decreased at higher extract concentrations (50, 75, and 100 mg/L) in a dose-dependent manner. Our results indicate a dose-dependent response and provide insight into the potential application of natural water treatment solutions. Implications for ecological management and future research directions are discussed.

Using Paradata for Imputation of Missing Values in Sociological Survey Data: Results of Statistical Modeling (Case of Croatia and Slovakia)

Missing values are a common issue in quantitative social researches. One of the ways to handle missing data is by data imputation. This article outlines the challenges of traditional data imputation methods, which often introduce biases, and presents an advanced approach that features integration of paradata—auxiliary information collected during surveys—into the imputation process, using the European Social Survey (ESS) as its dataset. It is proposed that the usage of paradata could enhance predictive models used for imputation. It discusses the practical applications of data imputation, particularly through the lens of sensitive topics such as LGBT issues in socially conservative countries, where missingness could be heavily skewed due to social inacceptability of certain answers. To evaluate the effectiveness of the proposed approach towards imputation, the research employs the approach of using the 'ideal dataset', which is a subset of the original dataset with no missing vales, and then introduces artificial missing values that are not MCAR (Missing Completely at Random) to simulate the real case of missing data. Having artificial missingness allows for evaluation of the imputation procedure by comparing it with the original dataset. The study uses a novel approach towards creation of realistic missing data patterns through clustering based on response patterns. The research uses advanced statistical methods to handle missing data, and incorporates paradata from the survey process to improve the accuracy of predictive models. By comparing statistical metrics such as RMSE, MAE, and R-squared, the article evaluates the effectiveness of these methods in mimicking the original dataset's variability.

Trends in Sexual Orientation and Gender Identity Data Collection.

The aim of this study was to determine response patterns to sexual orientation and gender identity (SOGI) questions in the Behavioral Risk Factor Surveillance System (BRFSS) over time and to assess nonresponse and indeterminate responses by demographic characteristics. This is a secondary data analysis of the SOGI module of the BRFSS. We used data from 46 states and Guam that implemented SOGI questions between 2014 and 2022. We used weighted analyses that accounted for the sampling design, determined SOGI response patterns by year, and assessed nonresponse and indeterminate responses by demographic characteristics. Over time, increasing numbers self-reported as sexual and gender minority respondents, while heterosexual identity declined. Sexual orientation nonresponse and indeterminate responses increased with time, while respondents' reports of not knowing gender identity declined. Hispanic, older, respondents, those with lower education, and those who completed the questionnaire in Spanish had higher SOGI nonresponse and indeterminate responses. The low amount of SOGI nonresponse and indeterminate responses in the BRFSS can be instructive for the implementation of SOGI questions in medical settings. SOGI data collection in all settings requires improving procedures for the groups that have been shown to have elevated nonresponse and indeterminate response.

Mini Bubble Columns for Miniaturizing Scale‐Down

ABSTRACTThe successful scale‐up of biotechnological processes from laboratory to industrial scale is crucial for translating innovation to practice. Scale‐down simulators have emerged as indispensable tools in this endeavor, enabling the evaluation of potential hosts’ adaptability to the dynamic conditions encountered in large‐scale fermenters. By simulating these real‐world scenarios, scale‐down simulators facilitate more accurate estimations of host productivity, thereby improving the process of selecting optimal strains for industrial production. Conventional scale‐down systems for detailed intracellular analysis necessitate an elaborate setup comprising interconnected lab‐scale reactors such as stirred tank reactors (STRs) and plug‐flow reactors (PFRs), often proving time‐consuming and resource‐intensive. This work introduces a miniaturized bubble column reactor setup (60 mL working volume), enabling individual and parallel carbon‐limited chemostat fermentations, offering a more efficient and streamlined approach. The industrially relevant organism Escherichia coli, chosen as a model organism, is continuously grown and subjected to carbon starvation for 150 s, followed by a return to carbon excess for another 150 s. The cellular response is characterized by the accumulation of the alarmone guanosine pentaphosphate (ppGpp) accompanied by a significant reduction in energy charge, from 0.8 to 0.7, which is rapidly replenished upon reintroduction of carbon availability. Transcriptomic analysis reveals a two‐phase response pattern, with over 200 genes upregulated and downregulated. The initial phase is dominated by the CRP–cAMP‐ and ppGpp‐mediated response to carbon limitation, followed by a shift to stationary phase‐inducing gene expression under the control of stress sigma factors. The system's validity is confirmed through a thorough comparison with a conventional STR/PFR setup. The analysis reveals the potential of the system to effectively reproduce data gathered from conventional STR/PFR setups, showcasing its potential use as a scale‐down simulator integrated in the process of strain development.

Proxy Responses in Research on COVID-19 Among People With Intellectual and Developmental Disabilities.

Researchers and advocates have long called for improved research methods that better include people with intellectual and developmental disabilities (IDD), but challenges to doing so persist. Proxy responses are frequently used to circumvent some of these challenges, but may not fully capture the perspectives of people with IDD. The COVID-19 pandemic highlighted the possibility of consequences due to a lack of research about health outcomes for people with IDD, with documented disproportionate impact but little understanding about specific experiences for people with IDD. Using exploratory graph analysis (EGA) we explored the use of proxy responses on the COVID-19 Supplement of the National Core Indicators In-Person Survey. Findings suggest significant differences in response patterns between people who answered independently, via proxy, and with a mix of response types beyond what would be expected due to demographic differences in participants.

Cellular responses following ex vivo lung exposure to the nerve agent VX – potential for additional treatment targets?

Following inhalation exposure to organophosphorus nerve agents, symptoms rapidly develop and severe respiratory symptoms, such as bronchorrhea and bronchoconstriction are the leading causes of lethality. Nerve agent-induced lung injury is little investigated and the standard treatment for symptomatic relief targets the enzyme acetylcholinesterase and muscarinic acetylcholine and GABAergic receptors. In the present study, cellular responses in lung tissue during the acute (40 min) and extended phase (24 h) following severe exposure to the nerve agent VX have been investigated using an ex vivo rat precision-cut lung slice model including electrostimulation to induce a cholinergic response. Changes in protein amount, cell viability, together with, inflammatory and oxidative stress markers have been determined in both the lung tissue and incubation medium.During the acute phase, VX caused significantly increased airway contraction and decreased airway relaxation. Five micromolar of VX did not affect the sample protein levels and cell viability in lung tissue. Among seven markers of cellular responses investigated in the lung tissue, increased levels of heme oxygenase-1 and matrix metalloproteinase-9 together with decreased levels of glutathione in the incubation medium were observed in the acute phase following VX-exposure compared to electrostimulation only. No difference in cellular response was observed following VX-exposure for 24 h compared to the air control. In comparison, LPS-exposure resulted in time-dependent changes in all markers of inflammation and oxidative response.In conclusion, the present study demonstrated VX-specific patterns of oxidative responses in the lung, as well as, signs of inflammatory response and remodeling of extracellular matrix. These potential mechanisms of tissue injury should be further investigated for their potential as additional therapeutic targets during the acute phase of intoxication.

Lower Early Neural Processing of Faces in Children and Adolescents with Social Anxiety Disorder

Social anxiety disorder (SAD) is one of the most common mental disorders during childhood and adolescence. Yet, little is known about its maintenance in youth. Cognitive models of SAD indicate that attentional biases play a key role in the dysfunctional processing of social information, such as emotional faces. However, previous research investigating neural correlates of childhood SAD has produced inconsistent findings. The current study aims to investigate neural face processing in children and adolescents with SAD, while taking into consideration methodological limitations of previous studies. We measured event-related potentials (P100, N170, EPN, LPP) in response to happy, neutral, and angry adult faces, and non-social household objects, in a sample of youth (aged 10-15 years) with SAD (n = 57), clinical controls with specific phobias (SP; n = 41), and healthy controls (HC; n = 61). Participants completed an emotion/object identification task while continuous EEG was recorded. Analyses revealed lower N170 amplitudes in the SAD group compared to HCs, irrespective of emotion. In addition, younger children (aged 10-12 years) with SAD showed lower EPN amplitudes and higher early LPP amplitudes (only trend level) in response to neutral and happy faces compared to younger HCs. These effects were specific to faces and were not evident in the neural processing of non-social household objects. Overall, the findings indicate that different neural response patterns are already present in youth with SAD. Group differences, particularly in younger children, suggest age-related differences in neural face processing in childhood SAD and underpin the necessity of developmental approaches.

Seasonality in embolism resistance and hydraulic capacitance jointly mediate hydraulic safety in branches and leaves of oriental cork oak (Quercus variabilis Bl.).

Seasonality in temperate regions is prominent during the era of increased climatic variability. A hydraulic trait that can adjust to seasonally changing climatic conditions is crucial for tree safety. However, little attention has been paid to the intraspecific seasonality of drought-related traits and hydraulic safety of keystone forest trees. We examined seasonal variations in the key morphological and physiological traits as well as multiple hydraulic safety margins (SMs) at the branch and leaf levels in oriental cork oak (Quercus variabilis Bl.), which is predominant in Chinese temperate forests. Pneumatic measurements indicated that, as seasons progressed, the water potential at which 50% of branch embolisms occur (P50_branch) decreased from -3.34MPa to -4.23MPa, with a coefficient of variation (CV) of 9.08%. Sapwood capacitance ranged from 48.19-248.08kgm-3MPa-1, peaking in autumn and reaching minimum in winter (CV 60.58%). Rehydration kinetics confirmed higher leaf embolism vulnerability (P50_leaf) in spring and autumn than those in summer, with values ranging from -1.06MPa to -3.02MPa (CV 39.85%). All leaf pressure-volume (PV) traits shifted with growth, with CVs ranging from 6.95-46.69%. Sapwood density had significant negative correlations with P50_branch and hydraulic capacitance for elastic water storage, whereas leaf mass per area was linearly associated with PV traits but not with P50_leaf. Furthermore, the branch typical SMs (difference between branch midday water potential and P50_branch) were consistently > 1.84MPa, and vulnerability segmentation was prevalent throughout, implying a plausible hydraulic foundation for the dominance of Q. variabilis. Diverse hydraulic response patterns existed across seasons, leading to positive safety margins mediated by the aforementioned physiological traits. Although Q. variabilis exhibits a high level of hydraulic safety, its susceptibility to sudden summer droughts may increase due to global climate change.

Rural Households’ Response Pattern to Climate Change and Poverty in Surulere Local Government Area, Ogbomoso, Nigeria

Rural Households’ Response Pattern to Climate Change and Poverty in Surulere Local Government Area, Ogbomoso, Nigeria

Pupillometry and autonomic nervous system responses to cognitive load and false feedback: an unsupervised machine learning approach

ObjectivesPupil dilation is controlled both by sympathetic and parasympathetic nervous system branches. We hypothesized that the dynamic of pupil size changes under cognitive load with additional false feedback can predict individual behavior along with heart rate variability (HRV) patterns and eye movements reflecting specific adaptability to cognitive stress. To test this, we employed an unsupervised machine learning approach to recognize groups of individuals distinguished by pupil dilation dynamics and then compared their autonomic nervous system (ANS) responses along with time, performance, and self-esteem indicators in cognitive tasks.MethodsCohort of 70 participants were exposed to tasks with increasing cognitive load and deception, with measurements of pupillary dynamics, HRV, eye movements, and cognitive performance and behavioral data. Utilizing machine learning k-means clustering algorithm, pupillometry data were segmented to distinct responses to increasing cognitive load and deceit. Further analysis compared clusters, focusing on how physiological (HRV, eye movements) and cognitive metrics (time, mistakes, self-esteem) varied across two clusters of different pupillary response patterns, investigating the relationship between pupil dynamics and autonomic reactions.ResultsCluster analysis of pupillometry data identified two distinct groups with statistically significant varying physiological and behavioral responses. Cluster 0 showed elevated HRV, alongside larger initial pupil sizes. Cluster 1 participants presented lower HRV but demonstrated increased and pronounced oculomotor activity. Behavioral differences included reporting more errors and lower self-esteem in Cluster 0, and faster response times with more precise reactions to deception demonstrated by Cluster 1. Lifestyle variations such as smoking habits and differences in Epworth Sleepiness Scale scores were significant between the clusters.ConclusionThe differentiation in pupillary dynamics and related metrics between the clusters underlines the complex interplay between autonomic regulation, cognitive load, and behavioral responses to cognitive load and deceptive feedback. These findings underscore the potential of pupillometry combined with machine learning in identifying individual differences in stress resilience and cognitive performance. Our research on pupillary dynamics and ANS patterns can lead to the development of remote diagnostic tools for real-time cognitive stress monitoring and performance optimization, applicable in clinical, educational, and occupational settings.

Patterns and correlates of traumatic stress, depression, anxiety, and moral injury in U.S. health care providers late in the COVID-19 pandemic.

Providing health care during the COVID-19 pandemic has been associated with a high mental health burden for health care providers. This study examined patterns of responses and correlates of class membership across commonly assessed mental health symptoms, psychosocial functioning, and moral injury for providers in the United States in Fall 2022. A convenience sample of 1,504 primary care physicians, pediatricians, nurse practitioners, and physician assistants who had been in practice for three or more years (Mage = 46.1 years, SDage = 11.3, 58% male) completed self-report measures in an online, opt-in panel survey from September to November 2022. Using latent class analysis, three classes were identified: No/Low Symptoms (64.8%), High Moral Injury (19.9%), and Elevated Symptoms (15.2%). Several factors were correlated with class membership including age, sex, social support, personal risk of COVID-19, pandemic-related work stressors, proportion of COVID-19 patients seen at the height of the pandemic, and death of a patient due to COVID-19. This study found high levels of mental health symptoms, and problems with psychosocial functioning and moral injury in health care providers well past the pandemic's peak. The results also demonstrated the importance of considering the unique contribution of moral injury to psychosocial functional difficulties experienced by health care providers during the pandemic given their defined role as essential workers. These findings have implications for preventing and managing mental health problems and burnout among providers postpandemic as well as for future pandemics at both the organizational and individual levels. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Dynamic Patterns of Primate Responses to Human Actions on Ecotourism Activities in Gunung Gede Pangrango National Park, Indonesia

Dynamic Patterns of Primate Responses to Human Actions on Ecotourism Activities in Gunung Gede Pangrango National Park, Indonesia

GCN2 drives diurnal patterns in the hepatic integrated stress response and maintains circadian rhythms in whole body metabolism during amino acid insufficiency.

Disruptions in circadian rhythms are associated with increased risk of developing metabolic diseases. General control nonderepressible 2 (GCN2), a primary sensor of amino acid insufficiency and activator of the integrated stress response (ISR), has emerged as a conserved regulator of the circadian clock in multiple organisms. The objective of this study was to examine diurnal patterns in hepatic ISR activation in the liver and whole-body rhythms in metabolism. We hypothesized that GCN2 activation cues hepatic ISR signaling over a natural 24 h feeding fasting cycle. To address our objective, wild type (WT) and whole body Gcn2 knockout (GCN2 KO) mice were housed in metabolic cages and provided free access to either a Control or leucine-devoid diet (LeuD) for 8-days in total darkness. On the last day, blood and livers were collected at circadian time (CT) 3 and CT15. In livers of WT mice, GCN2 phosphorylation followed a diurnal pattern that was guided by intracellular branched chain amino acid concentrations (r2=0.93). Feeding LeuD to WT mice increased hepatic ISR activation at CT15 only. Diurnal oscillation in hepatic ISR signaling, the hepatic transcriptome including lipid metabolic genes, and triglyceride concentrations were substantially reduced or absent in GCN2 KO mice. Further, mice lacking GCN2 were unable to maintain circadian rhythms in whole body energy expenditure, respiratory exchange ratio and physical activity when fed LeuD. In conclusion, GCN2 activation functions to maintain diurnal ISR activation in the liver and has a vital role in the mechanisms by which nutrient stress affects whole-body metabolism.

Assessing Receptor Activation in 2D and 3D Cultured Hepatocytes: Responses to a Single Compound and a Complex Mixture

Responding to global standards and legislative updates in Canada, including Bill S-5 (2023), toxicity testing is shifting towards more ethical, in vitro methods. Traditional two-dimensional (2D) monolayer cell cultures, limited in replicating the complex in vivo environment, have prompted the development of more relevant three-dimensional (3D) spheroidal hepatocyte cultures. This study introduces the first 3D spheroid model for McA-RH7777 cells, assessing xenobiotic receptor activation, cellular signaling, and toxicity against dexamethasone and naphthenic acid (NA)-fraction components; NAFCs. Our findings reveal that 3D McA-RH7777 spheroids demonstrate enhanced sensitivity and more uniform dose–response patterns in gene expression related to xenobiotic metabolism (AhR and PPAR) for both single compounds and complex mixtures. Specifically, 3D cultures showed significant gene expression changes upon dexamethasone exposure and exhibited varying degrees of sensitivity and resistance to the apoptotic effects induced by NAFCs, in comparison to 2D cultures. The optimization of 3D culture conditions enhances the model’s physiological relevance and enables the identification of genomic signatures under varied exposures. This study highlights the potential of 3D spheroid cultures in providing a more accurate representation of the liver’s microenvironment and advancing our understanding of cellular mechanisms in toxicity testing.

Accelerometer-measured physical activity, sedentary behavior, and incidence of macrovascular and microvascular events in individuals with type 2 diabetes mellitus and prediabetes

Background: Physical activity (PA) is considered beneficial for lowering cardiovascular risks following type 2 diabetes mellitus (T2DM) and prediabetes, but existing evidence relies mainly on self-reported measurements. We aimed to describe the intensity-specific dose-response associations of PA and sedentary behavior (SB) with macrovascular and microvascular events among individuals with T2DM and prediabetes. Methods: This study included 11,474 individuals with T2DM and prediabetes from the UK Biobank. PA, including total PA, moderate-to-vigorous intensity PA (MVPA), light intensity PA (LPA), and SB, were measured by accelerometers over 7 days. MVPA was categorized according to the American Diabetes Association guideline-recommended level (at least 150 min/week), and total PA, LPA, and SB were grouped by tertiles. The outcomes were incidences of macrovascular events, microvascular events, heart failure (HF), and their combination (composite events). The events were ascertained using the ICD-10 codes on the hospital or death records. Results: During a median follow-up of 6.8 years, 1680 cases were documented, including 969 macrovascular events, 839 microvascular events, and 284 incidents of HF. Accelerometer-measured PA, irrespective of intensity, was inversely associated with the risk of composite events and each outcome in the dose–response patterns. Regarding categorized PA, engagement in total PA (high vs. low) was associated with decreased risk of macrovascular events (hazard ratio (HR) = 0.80; 95% confidence interval (95%CI): 0.67–0.95), microvascular events (HR = 0.76; 95%CI: 0.63–0.93), and HF (HR = 0.46; 95%CI: 0.32–0.66). Adherence to MVPA, but not LPA, above the guideline-recommended level (at least 150 min/week) was associated with reduced risk of macrovascular events (HR = 0.80; 95%CI: 0.68–0.95), microvascular events (HR = 0.76; 95%CI: 0.63–0.92), and HF (HR = 0.65; 95%CI: 0.46–0.92). The minimum dose of MVPA for lowering the risk of composite events was approximately 59.0 min/week. More time spent in SB was associated with an increased risk of composite events (high vs. low, HR = 1.17; 95%CI: 1.02–1.35) and HF (high vs. low, HR = 1.54; 95%CI: 1.09–2.20). Replacement of 30 min of SB (HR = 0.73; 95%CI: 0.65–0.81) and LPA (HR = 0.74; 95%CI: 0.66–0.83) with MVPA dramatically reduced the risk of composite events. Conclusion: Adherence to a higher amount of accelerometer-measured PA, especially MVPA at least 59 min/week, is associated with reduced risks of macrovascular and microvascular events among individuals with T2DM and prediabetes. Replacement of SB and LPA with MVPA helped lower the risk of diabetic vascular events.

Specific responses in soil metabolite alteration and fungal community decline to the long-term monocropping of lisianthus

Continuous cropping obstacle (CCO) is becoming a serious threat to the quality production of lisianthus (Eustoma grandiflorum). However, investigations of the causal mechanism of CCO in lisianthus are still lacking. To this end, soil biotic dynamics and metabolites alterations were illuminated using metagenomic sequencing and metabolomic profiling along a chronosequence that has cultivated lisianthus from 2 weeks to 6 years. Soil EC and nutrient contents increased significantly as the cultivation duration prolonged. Fungal community has undergone significant decline in their diversity and biomass. Nevertheless, no apparent accumulation of pathogenicity-related microbes was observed along the investigated chronosequence. The alterations of soil metabolites along the chronosequence reflect the decline of microbial activity, the accumulation of phytotoxic compounds and the loss of metabolite involved in beneficial plant-microbe interactions. As a result, lisianthus plants in the longer continuous cropping soil experienced stressful condition as evidenced by the increasing trend of stress responsive metabolites and the overall soil function deterioration as indicated by soil enzymes. Hierarchical partitioning analysis showed that the investigated factors can explain a total of 92.25 % of the variations in the soil function degradation. Of which, soil metabolite alteration was the most important factor in explaining the CCO development, covering 24.55 % of the explainable variations. Spearman's correlation results further implied that soil metabolite alteration is the main driver in the development of CCO in lisianthus, especially by mediating the plant-microbes interactions. Our findings revealed a general pattern of soil biotic and abiotic response to the continuous monocropping of lisianthus and suggest that the overcome of the CCO in lisianthus requires further studies focusing on the crucial metabolites and their interactions with microbes.

Mechanisms of adaptive resistance in Phytobacter sp. X4 to antimony stress under anaerobic conditions

Sb(III) oxidation by microorganisms plays a key role in the geochemical cycling of antimony and is effective for bioremediation. A previously discovered novel Sb(III)-oxidizing bacteria, Phytobacter sp. X4, was used to elucidate the response patterns of extracellular polypeptides (EPS), antioxidant system, electron transfer and functional genes to Sb(III) under anaerobic conditions. The toxicity of Sb(III) was mitigated by increasing Sb(III) oxidation capacity, and the EPS regulated the content of each component by sensing the concentration of Sb(III). High Sb(III) concentrations induced significant secretion of proteins and polysaccharides of EPS, and polysaccharides were more important. Functional groups including hydroxyl, carboxyl and amino groups on the cell surface adsorbed Sb(III) to block its entry. Hydroxyl radicals and hydrogen peroxide were involved in anaerobic Sb(III) oxidation, as revealed by changes in the antioxidant system and electron spin resonance (EPR) techniques. qPCR confirmed that proteins concerning nitrate and antimony transfer, antimony resistance and antioxidant system were regulated by Sb(III) concentration, and the synergistic cooperation of multiple proteins conferred high antimony resistance to X4. The adaptive antimony resistance mechanism of Phytobacter sp. X4 under anaerobic conditions was revealed, which also provides a reference value for bioremediation method of antimony contamination in anaerobic environment.

Ethnic-specific characteristics associated with longitudinal response patterns from prebirth to 12 years: evidence from Growing Up in New Zealand

BackgroundLongitudinal studies can generate valuable scientific knowledge, but can be compromised by systematic attrition. Previous research shows that sociodemographic characteristics (eg, ethnicity, age, educational level, socioeconomic circumstances) are associated with...