Mutual Interaction Research Articles

Multidimensional geographic factors behind conflicts: a case study in Sudan

ABSTRACT Sudan has been racked by complex and volatile conflicts for decades, with a new round of civil conflict erupting in April 2023, leading to significant loss of life and property. Despite the ongoing violence, the associations between conflicts and local contextual factors remain ambiguous. In this study, we developed an event-grid dataset, consisting of 50,033 observations with 20 variables derived from nighttime light (NTL) data, OpenStreetMap data, and other geographic data. Machine learning algorithms were employed to model the outbreak of conflict in 2023. Furthermore, the SHapley Additive exPlanations method was utilized to explain the relationships between diverse explanatory variables and conflicts. The results indicate that eXtreme Gradient Boosting model outperforms other models, such as Categorical Boosting and Light Gradient Boosting Machine. Multiple factors jointly contribute to conflicts. NTL-derived variables and transportation-related variables emerge as the most influential factors, followed by climate and agricultural factors. Regions characterized by economic inequality and proximity to transportation hubs are found to be more prone to conflicts. Additionally, variables impact the outbreak of conflict not only individually but also through mutual interactions. Notably, this study enhances a comprehensive and quantitative understanding of conflicts in Sudan, providing valuable insights to support humanitarian aid efforts.

Morphodynamics drive the transport and accumulation of anthropogenic microparticles in tropical coastal depositional systems in southeastern Brazil.

A significant limitation in current coastal pollution research is that microplastics (<5 mm) comprise only a fraction of all anthropogenic microparticles (AMP, <5 mm) scale residues. Comprehensive AMP assessments, including those comprising semisynthetic, and modified natural compositions, are lacking. For instance, the accumulation of AMP in different coastal morphological features within a depositional system remains poorly known, fueling long-lasting debates about the distribution process of microparticles. Using a multi-proxy approach, we address mutual interactions between distinct surface morphologies (tidal flats, beaches, and foredunes) and transport and deposition dynamics of AMP. This issue was addressed by analyzing sediment and water samples collected at a marine protected area in the south coastal of São Paulo (Brazil). Here, we showed that AMP abundance in the tidal mudflat (18,500-20,500 particles/kg) was four times higher than in beach sands (4700-5900 particles/kg), while the lowest abundance was observed in foredune sands (4350 particles/kg). This can be attributed to the low-energy hydrodynamics of tidal flats associated with the cohesive behavior of muddy sediments, which consequently favor trapping and act as the main sink for AMP. Further, coastal processes (waves and currents) drive AMP onshore through sediment transport from the surfzone to the beach, from where the AMP becomes available for onshore eolian transport. Higher AMP abundance (85 particles/L) was observed in the marine water samples compared to the estuarine water samples (35 particles/L). Fibers <1 mm appeared as the predominant AMP in the sediment (99-100 %) and water (80-95 %) samples, primarily consisting of modified cellulose (73 %), dye signature only (16 %), and microplastics (11 %). Consequently, we argue that to fully comprehend the spatial distribution of AMP in coastal sediments and waters, it is crucial to analyze these microparticles from an integrated perspective, primarily considering the hydro-wind dynamics of different coastal morpho-sedimentary compartments combined with sediment grain size.

Theoretical Study of the Mutual Degradative Interaction Between Elemental Mercury and Polyhalogenated Biphenyls

Theoretical Study of the Mutual Degradative Interaction Between Elemental Mercury and Polyhalogenated Biphenyls

The mutual interaction of TRPC5 channel with polycystin proteins.

PKD1 regulates a number of cellular processes through the formation of complexes with the PKD2 ion channel or transient receptor potential classical (TRPC) 4 in the endothelial cells. Although Ca2+ modulation by polycystins has been reported between PKD1 and TRPC4 channel or TRPC1 and PKD2, the function with TRPC subfamily regulated by PKD2 has remained elusive. We confirmed TRPC4 or TRPC5 channel activation via PKD1 by modulating G-protein signaling without change in TRPC4/C5 translocation. The activation of TRPC4/C5 channels by intracellular 0.2 mM GTPγS was not significantly different regardless of the presence or absence of PKD1. Furthermore, the C-terminal fragment (CTF) of PKD1 did not affect TRPC4/C5 activity, likely due to the loss of the N-terminus that contains the G-protein coupled receptor proteolytic site (GPS). We also investigated whether TRPC1/C4/C5 can form a heterodimeric channel with PKD2, despite PKD2 being primarily retained in the endoplasmic reticulum (ER). Our findings show that PKD2 is targeted to the plasma membrane, particularly by TRPC5, but not by TRPC1. However, PKD2 did not coimmunoprecipitate with TRPC5 as well as with TRPC1. PKD2 decreased both basal and La3+-induced TRPC5 currents but increased M3R-mediated TRPC5 currents. Interestingly, PKD2 increased STAT3 phosphorylation with TRPC5 and decreased STAT1 phosphorylation with TRPC1. To be specific, PKD2 and TRPC1 compete to bind with TRPC5 to modulate intracellular Ca2+ signaling and reach the plasma membrane. This interaction suggests a new therapeutic target in TRPC5 channels for improving vascular endothelial function in polycystic kidney disease.

Mobile genetic elements: the hidden puppet masters underlying infant gut microbiome assembly?

The gut microbiota is important for healthy infant development. Part of the initial colonizing microbial strains originate from the maternal gut, and undergo a selective event, termed the “colonization bottleneck”. While vertical mother-to-infant inheritance and subsequent colonization of bacteria have previously been studied, the role of mobile genetic elements (MGEs) in the infant gut microbiota assembly is unclear. In this perspective article, we discuss how horizontally and vertically transmitted phages and conjugative elements potentially have important roles in infant gut microbiota assembly and colonization through parasitic and mutualistic interactions with their bacterial hosts. While some of these MGEs are likely to be detrimental to their host survival, in other contexts, they may help bacteria colonize new niches, antagonize other bacteria, or protect themselves from other parasitic MGEs in the infant gut. As a result, the horizontal transfer of MGEs likely occurs at high rates in the infant gut, contributing to gene transfer between bacteria and affecting which bacteria can pass the colonization bottleneck. We conclude by highlighting the potential in silico , in vitro , and in vivo methodological approaches that could be employed to study the transmission and colonization dynamics of MGEs and bacteria in the infant gut.

Potential role of alginate in marine bacteria-yeast interactions.

The ability of microorganisms to decompose brown algae has attracted attention. This study aims to clarify the characteristics of marine microbial communities in which prokaryotic and eukaryotic microorganisms interact via the metabolism of brown algae carbohydrates. Amplicon-based microbiome analysis revealed the predominance of the genera Marinomonas and Vibrio in seawater and seaweed samples mixed with alginate and mannitol, which are the primary carbohydrates in brown algae. Three Vibrio species and Candida intermedia were isolated via alginate enrichment culture. Although C. intermedia did not utilize alginate as a nutrient source, the yeast grew in the spent alginate medium in which Vibrio algivorus had been cultured. Coculture with C. intermedia and the Vibrio isolates, especially V. algivorus, also enhanced the growth of the yeast on alginate. These results suggested that C. intermedia grew because of the supply of nutrients via alginate metabolism by Vibrio species. In the coculture medium, the amount of phosphatidylserine increased in the early phase but decreased with the growth of C. intermedia, indicating that phosphatidylserine secreted by Vibrio is involved in the putative mutualistic interaction. We examined whether such interaction is applicable to the production of useful substances and succeeded in lipid production by oleaginous marine yeast Yarrowia lipolytica through coculture with V. algivorus. Our study suggested the potential of mutualistic interaction via degradation of alginate by marine Vibrio for production of industrially useful substances in yeast cells.IMPORTANCEIn this study, we analyzed the microbiome of seawater and seaweed in the presence of brown algae carbohydrates and reconstructed the putative mutualistic relationship of marine Vibrio and Candida intermedia mediated by metabolism of brown algae in the ocean.

Linking phylogenetic niche conservatism in bacterial communities in sorghum root compartments revealed by the Hongyingzi cultivar.

The root system harbours complex bacterial communities, which are critical for plant growth and health. Significant differences exist between bacterial communities in the root compartments; however, limited reports have explored their phylogenetic composition and niche conservatism in the root system of sorghum. We used the sorghum Hongyingzi cultivar as test plant, and applied 16S rRNA high-throughput sequencing and various statistical approaches. Phylogenetic composition of bacterial communities in root compartments were primarily driven by closely related species with similar environmental adaptations. We also found evidence of phylogenetic niche conservatism in bacterial communities for edaphic factors in the various root compartments, with pH and available N playing essential roles in shaping community composition. Environmental threshold analysis revealed threshold ranges of dominant taxa for pH and available N, indicating wider adaptive thresholds for more abundant taxa. Reconstruction of ancestral states suggested evolutionary changes in adaptability of certain bacterial taxa to edaphic factors, suggesting a shift towards slightly acidic, high N environments and reflecting the prolonged mutual interaction between bacteria and plants in cultivated soils. These findings enhance our understanding of environmental responses and evolutionary dynamics of root-associated microbiota in young sorghum plants and provide novel insights into ecological adaptations, shedding light on their responses to environmental factors. Our study contributes to a better understanding of the ecological dynamics of root-associated microbiota and offers analytical pathways for exploring the nutritional regulation of root microbiota.

Cubic interactions for massless and partially massless spin-1 and spin-2 fields

We perform a complete classification of the consistent two-derivative cubic couplings for a system containing an arbitrary number of massless spin-1, massless spin-2, and partially massless (PM) spin-2 fields in D-dimensional (anti-)de Sitter space. In addition to previously known results, we find a unique candidate mixing between spin-1 and PM spin-2 fields. We derive all the quadratic constraints on the structure constants of the theory, allowing for relative “wrong-sign” kinetic terms for any of the fields. In the particular case when the kinetic terms in each sector have no relative signs, we find that the unique consistent non-trivial theory is given by multiple independent copies of conformal gravity coupled to a Yang-Mills sector in D = 4. Our results strengthen the well-known no-go theorems on the absence of mutual interactions for massless and PM spin-2 fields.

The Invasion Ecology of Mutualism

Successful invasive species commonly depend on the establishment of mutualistic interactions with native and nonnative biota. In turn, invasive species can affect native mutualisms and community stability. Here, we examine different forms of mutualist acquisition by invasive species and the causes and consequences of mutualism abandonment for invasion processes. Additionally, we delve into the quantitative and qualitative effects of invaders on native biota via mutualism disruption that can occur through direct and diverse indirect pathways. These effects of invasive species on native biota via mutualistic interactions can often be a consequence of the invaders’ abundance, which should be considered a prime predictor when evaluating the impact of invasive species on native mutualisms and community stability. We propose that the ecological as well as the evolutionary consequences of mutualism disruption and switches caused by invasive species can play crucial roles in determining future biodiversity.

Hierarchical regulation of functionally antagonistic neuropeptides expressed in a single neuron pair

Neuronal communication involves small-molecule transmitters, gap junctions, and neuropeptides. While neurons often express multiple neuropeptides, our understanding of the coordination of their actions and their mutual interactions remains limited. Here, we demonstrate that two neuropeptides, NLP-10 and FLP-1, released from the same interneuron pair, AVKL/R, exert antagonistic effects on locomotion speed in Caenorhabditis elegans. NLP-10 accelerates locomotion by activating the G protein-coupled receptor NPR-35 on premotor interneurons that promote forward movement. Notably, we establish that NLP-10 is crucial for the aversive response to mechanical and noxious light stimuli. Conversely, AVK-derived FLP-1 slows down locomotion by suppressing the secretion of NLP-10 from AVK, through autocrine feedback via activation of its receptor DMSR-7 in AVK neurons. Our findings suggest that peptidergic autocrine motifs, exemplified by the interaction between NLP-10 and FLP-1, might represent a widespread mechanism in nervous systems across species. These mutual functional interactions among peptidergic co-transmitters could fine-tune brain activity.

Defect dynamics modeling of mesoscale plasticity

The collective motion of defects and their interaction are the basic building blocks for plastic deformation and corresponding mechanical behaviors of crystalline metals. Especially, dislocations among various defects are the “carrier” of plastic deformation in many crystalline materials, particularly ductile materials. To get a fundamental understanding of plastic deformation mechanisms, it calls for an integrated computational platform to simultaneously capture detailed defects characteristics across several length scales together with corresponding macroscopic mechanical response. In this paper, we present a three-dimensional mesoscale defect dynamics model to directly couple the three dimensional discrete dislocation dynamics model with continuum finite element method, aiming at capturing both size dependent plasticity at micron-, and submicron scale and constitutive behaviors at larger scales where such size-dependence disappear. Using non-singular dislocation theories, our model could accurately consider both short- and long-range elastic interactions between multiple dislocation segments with even higher computational efficiency than traditional dislocation dynamics simulations, together with the careful consideration of crystal/material rotation in the coupled framework. In addition, our model could directly model dislocation nucleation from stress concentrators such as a void, crack and indentor tip, which could allow us to investigate various defects’ motion and their mutual interactions, predicting macroscopic mechanical response of complex structures. The developed concurrently coupled model could also consider multiphysical phenomena by solving coupled governing equations in finite element framework, which could shed light on complex defect behaviors under various physical environments.

Genotypic variation in resource exchange, use, and production traits in the legume-rhizobia mutualism.

Mutualisms, reciprocally beneficial interactions between two or more species, are ubiquitous in nature. A common feature of mutualisms is extensive context-dependent variation in fitness outcomes. This context-dependency is hypothesized to stem from the environment's mediation of the relative costs and benefits associated with mutualisms. However, traits related to the exchange of goods and services in mutualisms have received little attention in comparison to net fitness outcomes. In this study, we quantified the contribution of host and symbiont genotypes to variation in resource exchange, use, and production traits measured in the host using the model mutualism between legumes and nitrogen-fixing rhizobia. We predicted that plant genotype × rhizobia genotype (G × G) effects would be common to resource exchange traits because resource exchange is hypothesized to be governed by both interacting partners through bargaining. On the other hand, we predicted that plant genotype effects would dominate host resource use and production traits because these traits are only indirectly related to the exchange of resources. Consistent with our prediction for resource exchange traits, but not our prediction for resource use and production traits, we found that rhizobia genotype and G × G effects were the most common sources of variation in the traits that we measured. The results of this study complement the commonly observed phenomenon of G × G effects for fitness by showing that numerous mutualism traits also exhibit G × G variation. Furthermore, our results highlight the possibility that the exchange of resources as well as how partners use and produce traded resources can influence the evolution of mutualistic interactions. Our study lays the groundwork for future work to explore the relationship between resource exchange, use and production traits and fitness (i.e., selection) to test the competing hypotheses proposed to explain the maintenance of fitness variation in mutualisms.

Integrated in situ spectroscopic characterization of bi-functional nanoporous hybrid catalysts

Bi-functional catalysts possess various catalytic sites and can catalyze different types of reactions in a single-pot cascade manner. Herein, we report the synthesis and characterization of mono- and bifunctional silica-based mesoporous hybrid catalysts involving acid and base active sites. The ability for cooperative catalysis has been investigated using a multi-technique approach involving powder X-ray diffraction, FT-IR, and multinuclear MAS NMR spectroscopy, as well as thermogravimetric analysis. To elucidate the nature and strength of multifunctional catalytic sites, different types of probe molecules were employed and studied using spectroscopic techniques. The results show that the activity of the mesoporous surface-grafted acid and/or base sites is directly related to the intimacy criterion, the separation between the different types of catalytic sites. The presence or absence of mutual interactions between the different catalytic sites dictates the selectivity and yield of the reactions.

Rational mutual interactions in starch-lipid-chlorogenic acid ternary systems enable formation of ordered starch structure for anti-digestibility during hot-extrusion 3D printing: Based on the nonlinear rheology and molecular simulation

Rational mutual interactions in starch-lipid-chlorogenic acid ternary systems enable formation of ordered starch structure for anti-digestibility during hot-extrusion 3D printing: Based on the nonlinear rheology and molecular simulation

Overexpression of miRNA29a gene inhibits proliferation and promotes apoptosis of jejunal epithelial cells in yak.

MicroRNAs (miRNAs) were identified to be involved in various biological functions by regulating the degradation or suppressing the translation of their downstream target genes. Recent studies have identified miR-29a play a key role in functions of mammal cell differentiation, proliferation, apoptosis, and signal transduction. However, the underlying functions for miR-29a in jejunal epithelial cells biological function still to be investigated. In order to explore the yak jejunal epithelial cells proliferation and barrier dysfunction with over expression of miR-29a gene, three 0-day-old Pamir male yaks were randomly selected and slaughtered in present study, and the jejunal epithelial cells were isolated and cultured to determine yak jejunal epithelial cells proliferation and protein composition on differential expression of miR-29a gene in Pamir plateau. Here, we demonstrated that the overexpression of miR-29a gene could inhibit the proliferation of Pamir yaks jejunum epithelial cells, and contribute to the apoptosis of Pamir yaks jejunal epithelial cells with some extent. A total of 133 differentially expressed proteins were identified in different expression of miR-29a groups by label-free Mass Spectrometry (MS), which could be concluded to two predominant themes: cell proliferation and inflammatory response. Interestingly, GPR41, as a bridge protein, was contacted two predominant themes to involved in Pamir Yaks jejunal mechanical barrier PPI network, and the target proteins displayed strong mutual interactions in the complex PPI network. Overall, our study suggested that the over-expression miR-29a inhibited the jejunal epithelial cells proliferation and the expressions of specific proteins, which damaged jejunal barrier function to slow down the intestine structure and function advanced mature development during young livestock period for influence the enhanced performance of production efficiency.

Optimised rotational-spring component-based modelling strategy for seismic resistant steel-concrete composite joints and frames with continuous or isolated slab

Joints and frames in steel-concrete composite systems represent complex mechanical assemblies that require specific calculation procedures to optimise their detailing and structural capacity, particularly under seismic loads. To this aim, component-based modelling approaches should be able to account for the most relevant mechanisms and resistance/stiffness behaviours of individual members, and their mutual interaction. In this paper, two different simplified non-linear approaches are considered for steel-concrete composite beam-to-column joints, and are specifically applied to a seismic resistant case-study frame with X-concentric bracings. Both beam-to-column joints with or continuous (“JA” joint) or fully isolated (“JB” joint) slab are examined. First, non-linear axial springs are assembled and calibrated on the base of a previous study (“Type 1″ model (“T1″)), according to force-displacement relationships proposed in the DPC-ReLUIS Italian guidelines. Successively, a novel modelling approach based on non-linear rotational springs is presented (“Type 2″ model (“T2″)), to further simplify the computational cost of T1 strategy, and allow to efficiently account for the moment-rotation behaviour of the examined joints. The preliminary numerical validation is carried out based on past literature experiments. Moreover, the optimized T2 approach is used to explore the in-plane lateral, seismic performance of a 2D steel-concrete composite frame, which is specifically designed with X-concentric bracings. The seismic capacity of the frame (and the associated interaction of components, especially the joint zone with the bracing system) is addressed on the base of pushover analyses.

Preferences and expectations of end-users from a mental health educational portal: A qualitative study

Background: Digital technologies play an essential role in health systems by providing new solutions to reduce the burden of mental illnesses and disorders. However, in many cases, user preferences and expectations are not considered in the design of portals. This study aims to explore the preferences and expectations of end-users from the features and capabilities of mental health educational portals. Methods: This qualitative study was conducted from January 2022 to January 2023 using the conventional content analysis approach. The participants were 20 individuals, selected through purposive sampling, ranging in age from 18 to 61, all of whom had prior experience using an educational portal. Data were collected via individual semi-structured interviews. Qualitative analysis was performed using MAXQDA 10 software. Results: After analyzing the data, the preferences and expectations of end-users were categorized into five main themes: to be reliable, mutual interaction capability, to be accessible, creating a stylish and attractive design, and attention to the quality and structure of the content. Conclusion: Considering the expectations and needs of users will enhance their acceptance and satisfaction with the portals. From the end-users’ perspectives, the content, appearance, and structural or technical features a mental health educational portal are crucial for its effectiveness.

Co-Occurrence Patterns Do Not Predict Mutualistic Interactions Between Plant and Butterfly Species.

Biotic interactions are crucial for determining the structure and dynamics of communities; however, direct measurement of these interactions can be challenging in terms of time and resources, especially when numerous species are involved. Inferring species interactions from species co-occurrence patterns is increasingly being used; however, recent studies have highlighted some limitations. To our knowledge, no attempt has been made to test the accuracy of the existing methods for detecting mutualistic interactions in terrestrial ecosystems. In this study, we compiled two literature-based, long-term datasets of interactions between butterflies and herbaceous plant species in two regions of Germany and compared them with observational abundance and presence/absence data collected within a year in the same regions. We tested how well the species associations generated by three different co-occurrence analysis methods matched those of empirically measured mutualistic associations using sensitivity and specificity analyses and compared the strength of associations. We also checked whether flower abundance data (instead of plant abundance data) increased the accuracy of the co-occurrence models and validated our results using empirical flower visitation data. The results revealed that, although all methods exhibited low sensitivity, our implementation of the Relative Interaction Intensity index with pairwise null models performed the best, followed by the probabilistic method and Spearman's rank correlation method. However, empirical data showed a significant number of interactions that were not detected using co-occurrence methods. Incorporating flower abundance data did not improve sensitivity but enhanced specificity in one region. Further analysis demonstrated incongruence between the predicted co-occurrence associations and actual interaction strengths, with many pairs exhibiting high interaction strength but low co-occurrence or vice versa. These findings underscore the complexity of ecological dynamics and highlight the limitations of current co-occurrence methods for accurately capturing species interactions.

Stripped Helium Star and Compact Object Binaries in Coeval Populations: Predictions Based on Detailed Binary Evolution Models

Massive stars mainly form in close binaries, where their mutual interactions can profoundly alter their evolutionary paths. Evolved binaries consisting of a massive OB-type main-sequence star with a stripped helium star or a compact companion represent a crucial stage in the evolution toward double compact objects, whose mergers are (potentially) detectable via gravitational waves. The recent detection of X-ray-quiet OB+black hole binaries and OB+stripped helium star binaries has set the stage for discovering more of these systems in the near future. In this work, based on 3670 detailed binary-evolution models and using empirical distributions of initial binary parameters, we compute the expected population of such evolved massive binaries in coeval stellar populations, including stars in star clusters and in galaxies with starburst activities, for ages up to 100 Myr. Our results are vividly illustrated in an animation that shows the evolution of these binaries in the color–magnitude diagram over time. We find that the number of OB+black hole binaries peaks around 10 Myr, and OB+neutron star binaries are most abundant at approximately 20 Myr. Both black holes and neutron stars can potentially be found in populations with ages up to 90 Myr. Additionally, we analyze the properties of such binaries at specific ages. We find that OB+helium stars and OB+black hole binaries are likely to be identifiable as single-lined spectroscopic binaries. Our research serves as a guide for future observational efforts to discover such binaries in young star clusters and starburst environments.

Mutual Interactions of Silymarin and Colon Microbiota in Healthy Young and Healthy Elder Subjects.

This multi-omic study investigates the bidirectional interactions between gut microbiota and silymarin metabolism, highlighting the differential effects across various age groups. Silymarin, the extract from Silybum marianum (milk thistle), is commonly used for its hepatoprotective effects. An in vitro fermentation colon model was used with microbiota from 20 stool samples obtained from healthy donors divided into two age groups. A combination of three analytical advanced techniques, namely proton nuclear magnetic resonance (1H NMR), next-generation sequencing (NGS), and liquid chromatography-mass spectrometry (LC-MS) was used to determine silymarin microbial metabolites over 24h, overall metabolome, and microbiota composition. Silymarin at a low diet-relevant dose of 50µgmL-1 significantly altered gut microbiota metabolism, reducing short-chain fatty acid (acetate, butyrate, propionate) production, glucose utilization, and increasing alpha-diversity. Notably, the study reveals age-related differences in silymarin catabolism. Healthy elderly donors (70-80 years) exhibited a significant increase in a specific catabolite associated with Oscillibacter sp., whereas healthy young donors (12-45 years) showed a faster breakdown of silymarin components, particularly isosilybin B, which is associated with higher abundance of Faecalibacterium and Erysipelotrichaceae UCG-003. This study provides insights into microbiome functionality in metabolizing dietary flavonolignans, highlighting implications for age-specific nutritional strategies, and advancing our understanding of dietary (poly)phenol metabolism.