Specific Traits Research Articles

Assessing the drought-tolerance and growth-promoting potential of strawberry (Fragaria × ananassa Duch.) rhizobacteria for consortium bioformulation

Plant growth-promoting rhizobacteria (PGPR) are known to influence plant root cells to regulate and induce specific traits related to growth promotion and survival. In the present study, rhizobacteria from strawberry plants were screened for stress tolerance under osmotic stress in TSB-mediated PEG 6000 (-0.73 MPa) and tested their ability to produce proline, exopolysaccharide, and free amino acids, all of which induce and regulate stress tolerance. The rhizobacteria were also distinguished for the production of 1-aminocyclopropane-1-carboxylate deaminase (ACCd) for the mitigation of drought stress. Among the 111 rhizobacterial isolates, 41 isolates grow above threshold limit in osmotic stress tolerance, 33 of which exhibited stress tolerance. Further characterization screened 27 isolates as capable growth promoters. Among the experimentally screened rhizobacteria, the isolates SBU4 and SDK8 [Pseudomonas fluorescens (OP627557) (PGPR1) and Pseudomonas glycinae (OP627558) (PGPR2)] exhibited the most promising phyto-beneficial potential. Both the isolates grew exponentially well during the log phase, with increased growth in Log CFU ml-1 under experimentally produced osmotic stress. The drought stress tolerance test results of the SBU4 and SDK8 isolates revealed the presence of proline (1.93 μg mL-1, 2.05 μg mL-1), exopolysaccharide (2.19 mg mg-1 protein, 2.58 mg mg-1 protein), and free amino acid (11.47 μmol g-1, 13.32 μmol g-1) and positive growth in ACCd-enriched DF media, an ACCd assay (α-ketobutyrate (0.56 μmol/ml, 0.64 μmol/ml) and ammonia (0.37 μg mL-1, 0.53 μg mL-1)). The isolates SBU4 and SDK8 performed well in qualitative tests for P solubilization, N fixing ability, siderophore chelation, HCN, and ammonia production, as well as in assays involving P producers (94.57 μg mL-1 and 92.86 μg mL-1), siderophore units (52.14% SU and 63.12% SU), and IAA producers (74.63 μg mL-1 and 72.64 μg mL-1). These rhizobacterial isolates were optimized under various growth factors (pH, temperature, incubation) to achieve a relatively high log CFU ml-1. The isolates achieved maximum Log CFU mL-1 when cultured in either a specific range of pH or temperature or growth period (incubation) under standard test conditions. The growth of cultures on cross-streaked nutrient agar plates was tested for an efficient, effective consortium bioformulation that enhances growth and specific traits (drought stress mitigation) in strawberry plants.

Collective Diagnostic Prototypical in Internet of Medical Things for Depression Identification using Deep Learning Algorithm

Background:: The majority of wearable technology is employed in the Internet of Medical Things (IoMT) health monitoring systems to recognize various bodily indicators. All monitored values are sent to a central server, where they are all treated by experts at the appropriate moment. Therefore, by expanding the use of wireless devices, it has been discovered that such communication technologies can recognize specific depression traits and mood swings. Objectives:: The major objective of the proposed method is to analyze the disputes that arise in the characteristics of an individual by observing the leveling periods that are identified from the processed image. In addition, the rate of data transfer in case of any dispute is maximized therefore recognition problem is solved at a minimized distance. Further, the steady state probability values are achieved at low delay thus minimizing the dropout packets in the monitored system using IoMT and LSTM. Methods:: A balanced record with four distinct parameters—such as livelihood, self-reliance, correlation, and precision—is employed with the projected model on IoMT for depression identification. As a result, high data transfer rates and low distance separation are used to process the identification framework. Additionally, by combining an original matrix representation with the input feature set using LSTM, a novel framework with great efficiency is created. Results:: In order to assess the results of IoMT using LSTM, four situations are split apart and their probability ratios are calculated. The results of each situation are then contrasted with the current methodology, and it is found that when there is a low dropout ratio, depression in a person is quickly diagnosed. Conclusion:: The comparison analysis demonstrates that the proposed method, when compared to the current method, offers the best-compromised outcomes at roughly 64%.

Diferencias sexuales en la condición corporal del escorpión de hojarasca Tityus pusillus Pocock, 1893 (Scorpiones: Buthidae)

Body condition may be an important additional tool for ecological studies. However, this information is still lacking for many arachnids such as scorpions. In addition, sex can be considered as a determining factor in the body condition of individuals since it can present differences in lifehistory traits. Thus, we evaluated the body condition of the litter-dwelling scorpion Tityus pusillus Pocock, 1893. For this, 88 individuals (44 by sex) were used, where the following body condition parameters were measured: body size, fresh, dry, lipid and muscle mass. Our results showed that females have a significantly higher values than males in all parameters of body condition measured. Differences in life-history traits between sexes, such as foraging activity and reproductive investment may be directly related to these findings. Finally, our results suggest that females possess a higher environmental requirement to maintain body condition.

Eels’ individual migratory behavior stems from a complex syndrome involving cognition, behavior, physiology, and life history

Variability within species is key for adaptability and biological evolution. To understand individualities in the context of animal movement, we focused on one of the most remarkable migrations—the journey of the endangered European eel from their birthplace in the Sargasso Sea to freshwater environments. Laboratory observations unveiled a continuum of diverse phenotypes of migrating eels: Some displayed a heightened tendency to swim against a constant water flow, while others a greater propensity to climb obstacles. Looking for the biological underpinnings of this migratory diversity, we characterized the eels’ individual differences in traits of four key domains: life history, physiology, behavior, and cognition, among which we found significant variance and interconnectedness. Upon reducing this variance to its primary multivariate axes, we found that these predict the migratory types. Eels with 1) low exploration, high activity, low boldness, and high lateralization; 2) strong lateralization, enhanced quantitative abilities, short problem-solving time, high boldness, and low growth rates; or 3) enhanced problem-solving, reduced spatial learning, high cognitive flexibility, and shorter time to solve the cognitive tasks were more likely to display the climbing migratory type. Field sampling revealed how specific traits’ combinations seemed to influence the distribution of eels once they begin to settle in the freshwater environment. Our study underscores the impressive diversity of individuals during this critical migration, emphasizing an intrinsic connection to multidomain trait variance. Preserving this diversity becomes paramount, as it likely contributes to the resilience and adaptability of endangered migratory species.

Allelic variation at the PPD-A1 locus and its associations with heading time and winter wheat (Triticum aestivum L.) agronomic traits in the northern Black Sea region

Aim. The identification of Ppd-1-alleles in winter bread wheat varieties of various origin, including the ones of Ukrainian plant breeding and recombinant-inbred lines Orenburgskaya 48//Cappelle Desprez/2В Chinese Spring, and the evaluation of the effects of allele Ppd-А1_del303, including the interaction with different alleles of gene Ppd-B1, by the duration of the period before heading and the related agronomically valuable traits. Methods. DNA extraction, allele-specific PCR, agarose and polyacrylamide gel electrophoresis, phenological observations, evaluation of frost resistance in seedlings, and analysis of morphobiological traits and elements of yield structure. Statistical analysis of the obtained data was carried out in Microsoft Excel. The significance of the difference between samples was assessed by Fisher's F test. A difference of p < 0.05 was considered statistically significant for all indicators. Results. The marking of 30 varieties of different origin and 64 recombinant-inbred lines of Orenburgskaya 48//Cappelle Desprez/2B Chinese Spring winter bread wheat was carried out to identify the alleles of the Ppd-A1 gene. The polymorphism of varieties and populations of recombinant-inbred lines in the northern Black Sea region (Odesa) was evaluated for ten traits: frost resistance of plants in the seedling phase, winter hardiness, duration of the period before heading, plant height, grain number per spike, grain weight per spike, thousand grain weight, number of productive tillers per unit area, harvest index and grain yield. The comparison of the lines evaluation data in terms of agronomic traits and the results of the genotypes identification allowed us to identify the influence of Ppd-A1 gene alleles and various combinations of the alleles of Ppd-A1 and Ppd-B1 genes on these traits. Conclusions. A higher prevalence of the Ppd-A1_del303 allele was found both among varieties and recombinant-inbred lines. The genetic differences by the Ppd-A1 gene (Ppd-A1_del303 or Ppd-A1b) are significantly related only to frost resistance of seedlings in the absence of significant differences in other traits. The interaction between Ppd-A1b and Ppd-B1c alleles contributed to the acceleration of early maturity and the formation of the highest indicators of grain weight per spike, thousand grain weight, harvest index, and grain yield. The replacement of the Ppd-A1b allele with Ppd-A1_del303 led to a decrease in the effect of the dominant Ppd-B1c allele on accelerating heading and negatively affected the grain weight per spike, thousand grain weight, harvest index and grain yield compared to the Ppd-A1b Ppd-B1c genotype.

Mendelian randomization analyses support causal relationships between gut microbiome and longevity.

Gut microbiome plays a significant role in longevity, and dysbiosis is indeed one of the hallmarks of aging. However, the causal relationship between gut microbiota and human longevity or aging remains elusive. Our study assessed the causal relationships between gut microbiome and longevity using Mendelian Randomization (MR). Summary statistics for the gut microbiome were obtained from four genome-wide association study (GWAS) meta-analysis of the MiBioGen consortium (N = 18,340), Dutch Microbiome Project (N = 7738), German individuals (N = 8956), and Finland individuals (N = 5959). Summary statistics for Longevity were obtained from Five GWAS meta-analysis, including Human healthspan (N = 300,447), Longevity (N = 36,745), Lifespans (N = 1,012,240), Parental longevity (N = 389,166), and Frailty (one of the primary aging-linked physiological hallmarks, N = 175,226). Our findings reveal several noteworthy associations, including a negative correlation between Bacteroides massiliensis and longevity, whereas the genus Subdoligranulum and Alistipes, as well as species Alistipes senegalensis and Alistipes shahii, exhibited positive associations with specific longevity traits. Moreover, the microbial pathway of coenzyme A biosynthesis I, pyruvate fermentation to acetate and lactate II, and pentose phosphate pathway exhibited positive associations with two or more traits linked to longevity. Conversely, the TCA cycle VIII (helicobacter) pathway consistently demonstrated a negative correlation with lifespan and parental longevity. Our findings of this MR study indicated many significant associations between gut microbiome and longevity. These microbial taxa and pathways may potentially play a protective role in promoting longevity or have a suppressive effect on lifespan.

Personality and Psychoneuroimmunology: A Systems Biology Perspective.

Research in psychoneuroimmunology (PNI) underscores the intricate connections within the "whole mind-body system." Personality plays a pivotal role, with specific traits linked to stress influencing neural behavior and psychophysiological disorders. Gene expression networks associated with personality affect neuronal plasticity, epigenetic processes, and adaptive behaviors, highlighting the importance of systems biology mechanisms. Systemic inflammation correlates with key personality traits. Understanding the roles of inflammatory and oxidative biomarkers in personality traits and disorders can help identify diagnostic and therapeutic targets for various diseases. Neurobiological features contribute to our understanding of personality disorders and related conditions. Personality traits are linked to distributed neuroendocrine networks, particularly the hypothalamic-pituitary-adrenal (HPA) axis, rather than localized brain areas. Correlations have also been identified between personality traits and thyroid hormones. Disrupted hypothalamic-pituitary-thyroid (HPT) axis functions may be associated with disease severity, depression, and distress, highlighting the need for comprehensive endocrinological and psychopathological evaluations. The gut-brain axis influences personality traits, emotions, stress, and social behaviors. Altered gut microbiota is common in psychiatric conditions, suggesting potential treatments targeting the microbiota. Chronic stress impacts cognitive functions and correlates with personality and mental health, emphasizing the need for comprehensive, multi-dimensional patient profiles for effective prevention and therapy. A biopsychosocial model integrating personality traits will advance personalized and systems medicine.

Phenotypic Diversity Analysis in the Sect. Tuberculate (Camellia L.) Population, an Endemic Taxon in China

Sect. Tuberculate Chang belongs to the genus Camellia, which is an endemic group in China and has high research value. However, the phenotypic patterns of this taxon are complex and diverse, and the phenotypic variation in key traits is still unclear. In this study, a total of 212 samples from 18 populations of sect. Tuberculate plants were studied for 30 phenotypic traits of flowers, fruits, and leaves using analysis of variance, correlation analysis, principal component analysis, and cluster analysis. The results showed the following. (1) The plants in sect. Tuberculate were rich in phenotypic trait variation and possessed rich phenotypic diversity. The differentiation of phenotypic traits mainly came from among populations, with leaves (66.804%) being the largest and flowers (53.476%) being the smallest. Qualitative traits (70.264%) were greater than quantitative traits (57.608%). (2) Correlation analyses showed close and complex relationships among the phenotypic traits of flowers, fruits, and leaves. (3) The cumulative contribution of the first 10 principal components was up to 73.49%, which screened out 12 major traits contributing to the phenotypic differences in plants of sect. Tuberculate. (4) Q-type analysis showed that they were classified into 18 taxa at a Euclidean distance of 7.5 and 11 taxa at a Euclidean distance of 10. The 18 populations were not fully clustered according to the geographic distance of the plants, and there was an overlap between some of the populations. In summary, the degree of variation in phenotypic traits among populations of sect. Tuberculate plants is high, which is affected by the climatic environment. The 12 major phenotypic traits screened can be used as the basis for the classification of sect. Tuberculate plants. There are trait overlaps among some populations, which may be affected by the stochastic influence of the geographic climate and gene flow. This study will provide important references for interspecific identification, classification system construction, genetic mechanism, germplasm resource conservation, and exploitation of plants in sect. Tuberculate.

Genetic and phytochemical evaluation of M2 generation mutants of fenugreek (Trigonella foenum-graecum L.) induced by gamma rays and Ethyl Methane Sulphonate (EMS).

Fenugreek (Trigonella foenum-graecum L.) is highly esteemed for its therapeutic properties and is widely used in traditional medicine and modern pharmacology. Enhancing its genetic traits and phytochemical profile, particularly its trigonelline content, can significantly increase its medicinal and agricultural value. This study aims to investigate the effects of gamma rays and Ethyl Methane Sulphonate (EMS) as mutagenic agents on the genetic and phytochemical characteristics of the M2 generation of fenugreek, focusing on genetic diversity and desirable trait enhancement. To achieve this, various concentrations of EMS and gamma rays were administered to fenugreek seeds, and 27 traits were assessed in the resulting M2 generation. These traits were analyzed for variance, mean values, and correlations. The genetic diversity of 23 M2 offspring was investigated using nine Start Codon Targeted (SCoT) markers. The genetic diversity assessment involved Principal Coordinate Analysis (PCoA) and cluster analysis, utilizing the Dice similarity coefficients and the Unweighted Pair Group Method with Arithmetic Mean (UPGMA). A Bayesian model provided deeper insights into the genetic structure. Results revealed that lower doses of gamma rays (100Gy) and EMS (0.2%) positively impacted specific traits. In comparison, higher doses (200Gy and 0.4% EMS) increased seed trigonelline content to 0.71mg/g dry weight. Among the SCoT markers, SCoT-9 was the most efficient, segregating the populations into three clusters. The first three principal components in the PCoA explained 20% of the total variance, leading to seven subgroup populations distinction. These findings underscore the potential of induced mutagenesis in enhancing desirable traits in fenugreek.

CONE YIELD AND GROWTH CHARACTERISTICS IN A PLANTATION OF CUPRESSUS SEMPERVIRENS

Mediterranean cypress (Cupressus sempervirens L.) is an important secondary forest tree species in Turkish forestry because of its high adaptation ability and resistance to different ecological condition. However, limited studies were carried out in cypress. In this study, cone numbers, tree height, diameters at breast height and at base were surveyed from 75 individuals chosen randomly at eighteen years’ plantation in the species. Interaction between number of cones and growth characteristics was estimated together with fertility variation and linkage parameters (i.e. population size) to contribute management and practices of seed collection and gene conservation areas, and other forestry practices of the species. Mean cone number was 86/tree ranged from 36 to 174. Individual trees had large differences for the growth traits, while means of tree height, diameters of breast height and base were 6.1 m, 9.9 cm, and 12.6 cm, respectively. Fertility variation was 1.15 (87% of total trees, CV%=38.9), which close to typical population. Positive and significant (p≤0.05) relations were found between growth characteristics and cone production in Cupressus sempervirens. Tree height was better predictor in cone production than diameters.

Strong-ties and weak-ties rationalities: toward a mental model of the consequences of kinship intensity

There is growing evidence of the connection between variations in kinship intensity and cross-cultural differences in psychological traits. Contributing to this literature on kinship intensity, we put forward a mental model to explain the enduring connection between ancestral niche and psychological traits. Our model posits that two primary orientations or dispositions—strong-ties and weak-ties rationalities—have co-evolved with our ancestral niches to perpetuate—by internalizing and reproducing—the social structure (such as preferences for certain attitudes, values, and beliefs) of the ancestral niche. The findings from 1,291 participants across four societies—China, India, Taiwan, and the United States—support our hypothesis that strong-ties (weak-ties) rationalities, when activated, will endorse strong-tie (weak-ties) values and beliefs. This proposed model contributes to the toolbox of cultural and cross-cultural psychology in a twofold sense: First, in addition to the index of kinship intensity, it offers a measure of kin-based rationality as another predictor of psychological traits; second, it renders intelligible the niche and rationality disconnect prevalent in the globalizing era.

Comparative Evaluation of Tomato Varieties: A Comprehensive Analysis of Yield Attributes

This article presents a comprehensive comparative evaluation of tomato varieties. The study focused on key yield attributes, including plant height, fruits per cluster, fruit diameter, fruit length, yield per hectare, days to 50% flowering, and maturity. Significant variations in plant height were observed among the varieties. Monoprecos had the tallest plant height (125.73 cm), while 2-HRDTOM035 was the shortest (83.26 cm). The number of fruits per cluster varied, with HRD109 producing the most (7.33) and HRDTOM084 the least (3.86). HRDTOM084 excelled in fruit dimensions, having the largest fruit diameter (19.88 mm) and fruit length (5.94 cm), whereas HRD109 showed the smallest diameter (10.16 mm). Yield per hectare also differed significantly, with HRDTOM084 delivering the highest yield (11.06 t/ha), and 2-HRDTOM035 recording the lowest (4.84 t/ha). The study also analyzed days to 50% flowering, revealing HRDTOM084 as the slowest to flower (48.60 days) and Monoprecos as the quickest (30.60 days). Days to maturity mirrored these results, with HRDTOM084 taking the longest to mature (93.73 days). In comparison, earlier studies with nine open-pollinated and hybrid varieties in other regions, such as Khajura and Lumle, revealed similar patterns in yield and growth, confirming the genetic diversity in tomato production. Overall, HRDTOM084 emerged as the most promising variety for commercial cultivation due to its superior yield, fruit size, and productivity, while Monoprecos and 2-HRDTOM035 may be suitable for environments that require shorter growth cycles. This review highlights the importance of selecting tomato varieties based on specific traits, such as plant height, yield potential, fruit quality, and adaptability to local growing conditions, to optimize production. Future research could focus on enhancing disease resistance and studying performance under different climatic conditions to further improve tomato cultivation practices in Nepal.

Structural variations in livestock genomes and their associations with phenotypic traits: a review

Genomic structural variation (SV) refers to differences in gene sequences between individuals on a genomic scale. It is widely distributed in the genome, primarily in the form of insertions, deletions, duplications, inversions, and translocations. Due to its characterization by long segments and large coverage, SVs significantly impact the genetic characteristics and production performance of livestock, playing a crucial role in studying breed diversity, biological evolution, and disease correlation. Research on SVs contributes to an enhanced understanding of chromosome function and genetic characteristics and is important for understanding hereditary diseases mechanisms. In this article, we review the concept, classification, main formation mechanisms, detection methods, and advancement of research on SVs in the genomes of cattle, buffalo, equine, sheep, and goats, aiming to reveal the genetic basis of differences in phenotypic traits and adaptive genetic mechanisms through genomic research, which will provide a theoretical basis for better understanding and utilizing the genetic resources of herbivorous livestock.

Enablers of satisfaction with coworking spaces: assessing the influence of users’ personality and experience

PurposeThis study analysed the extent to which differences in personality traits and coworking experiences affect coworkers’ satisfaction with coworking spaces (CWS).Design/methodology/approachThe present study is based on employee-workplace alignment theory (Appel-Meulenbroek et al., 2021). This approach addresses people’s ability to do their jobs in a certain work environment and studies job satisfaction as an outcome variable. We used a dataset of 135 CWS members grouped in the Spanish Association of Flexible Office Spaces, Prowork Spaces. The regression models were fitted using satisfaction with coworking as the dependent variable.FindingsThe findings support the idea that some psychological traits of coworkers, such as extroversion and agreeableness, have a significant influence on their satisfaction with coworking. Our study also shows that the relationship between coworking experience and satisfaction is curvilinear.Originality/valueThis study contributes to the advancement of employee-workplace alignment theory by showing that some personality traits are relevant variables for person-organisation fit in CWS. While extroversion and agreeableness are traditionally associated with prosocial outcomes, we found that agreeable coworkers were not more satisfied with CWS. In addition, the study identified a nonlinear relationship between experience and satisfaction with CWS, which has not been detected in previous studies.

The associations between well-being and Cloninger’s personality dimensions in a Korean community sample

Background Well-being is a multidimensional construct comprising affective and non-affective components. Previous research has consistently linked personality traits to well-being, yet cultural variations in this association remain underexplored, particularly in collectivistic cultures such as Korea. Therefore, this study aims to identify universal and culture-specific characteristics of personality in relation to well-being. Methods A sample of 527 Korean university students participated, providing data through the Korean version of the Temperament and Character Inventory-RS (TCI-RS), self-rated health (SRH), social support (SS), Satisfaction With Life Scale (SWLS), and positive and negative affect schedule (PANAS). Pearson correlation analysis and ANCOVA, with sex and age as covariates, were employed to examine linear associations. Multidimensional personality profiles were utilized to investigate non-linear associations among character dimensions on different aspects of well-being. All analysis was performed using jamovi 2.3.12. Results Self-directedness and cooperativeness exhibited positive linear associations with both affective (positive and negative affect) and non-affective (SRH, SS, SWLS) components of well-being. Self-directedness emerged as a key predictor across various well-being aspects. Cooperativeness was strongly associated with perception of social support. Self-transcendence showed positive associations with both positive and negative affect, considering interactions with other character dimensions. Discussion While self-directedness played a pivotal role universally, the impact of cooperativeness and self-transcendence appeared to be influenced by cultural factors, enhancing perception of social support and affecting both positive and negative affect in a collectivistic culture. This study illustrates the importance of considering cultural nuances in the relationship between personality and well-being. Future research should delve deeper into cultural differences, emphasizing the need for subtle interpretations of specific personality traits within diverse cultural contexts.

Archaeocytes in sponges: simple cells of complicated fate.

Archaeocytes are considered a key cell type in sponges (Porifera). They are believed to be multifunctional cells performing various functions, from nutrient digestion to acting as adult stem cells (ASCs). Thus, archaeocytes are mentioned in discussions on various aspects of sponge biology. As presumed ASCs of an early-diverged animal taxon, archaeocytes are of great fundamental interest for further progress in understanding tissue functioning in metazoans. However, the term 'archaeocyte' is rather ambiguous in its usage and understanding, and debates surrounding archaeocytes have persisted for over a century, reflecting the ongoing complexity of understanding their nature. This article presents a comprehensive revision of the archaeocyte concept, including both its historical development and biological features (i.e. taxonomic distribution, characteristics, and functions). The term 'archaeocyte' and its central aspects were introduced as early as the end of the 19th century based on data mainly from demosponges. Remarkably, despite the general lack of comparative and non-histological data, these early studies already regarded archaeocytes as the ASCs of sponges. These early views were readily inherited by subsequent studies, often without proper verification, shaping views on many aspects of sponge biology for more than a century. Taking into account all available data, we propose considering the archaeocytes as a cell type specific to the class Demospongiae. Clear homologues of archaeocytes are absent in other sponge classes. In demosponges, the term 'archaeocytes' refers to mesohyl cells that have an amoeboid shape, nucleolated nuclei, and non-specific inclusions in the cytoplasm. The absence of specific traits makes the archaeocytes a loosely defined and probably heterogeneous cell population, rendering the exhaustive characterisation of the 'true' archaeocyte population impossible. At the same time, the molecular characterisation of archaeocytes is only beginning to develop. Stemness and almost unlimited potency have always been at the core of the traditional archaeocyte concept. However, currently, the most consistent data on archaeocyte stem cell function come only from developing gemmules of freshwater sponges. For tissues of adult demosponges, the data favour a two-component stem cell system, in which archaeocytes may cooperate with another stem cell population, choanocytes. Simultaneously, cells with archaeocyte morphology function as macrophages in demosponges, participating in the food digestion cycle and immune defence. Such cells should be denoted with the more neutral term 'nucleolar amoebocytes', as the term 'archaeocyte' not only describes the morphology of a cell but also introduces the proposition of its stem nature. Thus, the future usage of the term 'archaeocyte' should be limited to cases where a cell is shown or at least presumed to be a stem cell.

Personality traits vary in their association with brain activity across situations.

Human cognition supports complex behaviour across a range of situations, and traits (e.g. personality) influence how we react in these different contexts. Although viewing traits as situationally grounded is common in social sciences, often studies attempting to link brain activity to human traits examine brain-trait associations in a single task, or, under passive conditions like wakeful rest. These studies, often referred to as brain wide association studies (BWAS) have recently become the subject of controversy because results are often unreliable even with large sample sizes. Although there are important statistical reasons why BWAS yield inconsistent results, we hypothesised that the situation in which brain activity is measured will impact the power in detecting a reliable link to specific traits. We performed a state-space analysis where tasks from the Human Connectome Project (HCP) were organized into a low-dimensional space based on how they activated different large-scale neural systems. We examined how individuals' observed brain activity across these different contexts related to their personality. We found that for multiple personality traits, stronger associations with brain activity emerge in some tasks than others. These data highlight the importance of context-bound views for understanding how brain activity links to trait variation in human behaviour.

Rapid diagnosis of Mycoplasma pneumoniae and prediction of antibiotic resistance by nanopore adaptive sampling

AbstractBackgroundMicrobial infections, particularly in children, require rapid and accurate diagnostics. It is difficult to differentiate pathogens from commensal organisms, and it is impossible to identify antibiotic resistance genes that belong to pathogens with current methods. Third‐generation sequencing provides rapid library preparation and real‐time data acquisition. Nanopore normal sampling (NNS) enables unbiased sequencing of clinical samples without amplification, aiding pathogen identification and antimicrobial resistance gene prediction. However, clinical samples often contain a considerable amount of human DNA, potentially masking pathogen data. Nanopore adaptive sampling (NAS) aims to selectively enrich pathogens, promising improved diagnostics for acute infections and better treatment decisions in clinical practice. This study aimed to determine the utility of NAS in enhancing the real‐time detection of pathogens and predicting AMR in infectious disease outbreaks.MethodsThis study used NAS technology to rapidly and directly detect Mycoplasma pneumoniae infection in bronchoalveolar lavage fluid samples from 28 pediatric patients at Shenzhen Children's Hospital. We assessed the efficacy of NAS compared with that of NNS by evaluating the number of microbial reads and the amount of microbial DNA data. We then compared the accuracy of detecting pathogens between NNS and NAS and between NAS and real‐time polymerase chain reaction assays. Furthermore, we predicted antimicrobial resistance (AMR) and examined AMR genes associated with pathogens.ResultsNAS showed up to a 14.67‐fold increase in the amount of microbial DNA data from patients' samples compared with NNS within the initial 2.5 h of sequencing. Additionally, NAS reduced the amount of host DNA data by up to 6.67‐fold compared with NNS. Unlike TaqMan real‐time polymerase chain reaction assays, NAS technology identified dominant pathogens and provided detailed insight into the abundance of the microbial community. Furthermore, NAS was able to predict AMR profiles of microbial communities and attribute specific AMR traits to individual microbes within the samples.ConclusionThis study shows that NAS advances the clinical diagnosis because it can rapidly detect pathogens directly from patients' samples and provides antimicrobial resistance information for clinical guidance. These abilities further facilitate the application of NAS in personalized treatment, reduce the misuse of broad‐spectrum antibiotics, and promote patients' recovery.

Functional differences between herbs and woody species in a semiarid Mediterranean plant community: A whole‐plant perspective on growth, nutrient‐use and size

Abstract Despite decades of research, a comprehensive understanding of trait coordination at the whole‐plant level remains elusive. Furthermore, while the link between above‐ground growth rates and leaf traits related to nutrient use is well established, much less is known about the below‐ground compartment. Herbs and woody species exhibit distinct above‐ground growth and nutrient‐use strategies, but whether these differences extend to root traits below‐ground remains unclear. We carried out a common garden experiment with 23 perennials (7 herbs and 16 woody species) coexisting in a Mediterranean shrubland and measured 17 above‐ground and below‐ground traits related to growth, nutrient use and size. We analysed the links between growth rate and nutrient use focusing especially on roots and considering potential differences between herbs and woody species. We also combined plant size data from experimental juveniles and field‐sampled adults to determine the effects of life stage on whole‐plant phenotypic integration. We found a significant relationship between growth rates (both above‐ground and below‐ground) and root nutrient‐use strategies. Root diameter was negatively associated to growth rate only in herbs. Specific root area and root tissue density were positively and negatively correlated with growth rate, respectively, in both herbs and woody species. Moreover, we found significant differences in roots traits between herbs and woody species. Plant growth rate and root nutrient‐use strategies were both positively associated to plant size (height and above‐ground diameter) in juveniles, while a negative relationship was observed in adults. Our work provides insights on the links between whole‐plant growth rate and nutrient‐use strategies in species from a dry Mediterranan shrubland. Specifically, we show that whole‐plant growth rate is strongly associated to root traits, with more acquisitive root nutrient‐use strategies related to faster growth rates, which in turn translated to greater plant size in juveniles but smaller in adults. Our results also highlight root functional differences and contrasting patterns of whole‐plant phenotypic integration between herbs and woody species, offering deeper insights into species coexistence in species‐rich dry Mediterranean environments. Read the free Plain Language Summary for this article on the Journal blog.

Past and recent drivers of extinction risk in endemic New Zealand birds

AbstractLand‐cover change is a major driver of species extinction risk and the overarching loss of biodiversity. However, the impact of such change is nuanced, varying among species due to the mediation of life‐history traits and the timing of land transformation. While diverse studies have pinpointed ecological and life‐history attributes linked to the decline of bird species, the combined effects of past and recent land‐cover change often present a complex picture. In this study, we undertook a modelling approach to assess extinction risk in New Zealand's endemic birds based on life‐history traits and past (1996–2008) and recent (2008–2018) land‐cover change. Our results suggested specific variables driving extinction risk in endemic New Zealand birds. Notably, incubation length emerged as the most influential factor, trailed by past land‐cover change, body size and clutch size. This indicates that past land‐cover change in combination with large body sizes and slow life histories, characterized by low fecundity and extended incubation periods, collectively elevates the extinction risk of endemic birds in New Zealand. These results shed light on the conservation priorities for species with specific biological traits potentially exposed to the negative effects of land‐cover change.