Low Variability Research Articles

Cognitive benefits of sleep: a narrative review to explore the relevance of glucose regulation

Abstract Sleep is essential for maintaining optimal health. Both sleep duration and quality have been linked to various physiological functions and physical and mental health outcomes. Nutrition has been shown to impact sleep parameters, from the nutrient composition of foods, such as tryptophan levels, to the physiological response to foods, such as the glucose response. However, the relationship between glycemic control and sleep, and its impact on next day benefits, particularly on cognitive performance, remains complex and is not fully understood. This narrative review aims to explore the relationship between glycemia and sleep, and how it may affect cognitive performance the following day. The review includes data from observational and interventional studies, discussing mechanisms of action that may explain the modulating effect of glycemia on sleep and cognition. The evidence suggests that lower postprandial glucose and low variation of nocturnal glucose are associated with better sleep quality and shorter sleep onset latency. Good sleep quality, in turn, is positively associated with cognitive processes such as sustained attention and memory consolidation measured the next day after sleep. Future research opportunities lie in investigating the effects of modulating the glycemic and insulinemic responses through evening meals on sleep quality and next-day cognitive performance. Well-designed clinical trials involving healthy individuals are necessary to establish the effects of these interventions. Controlling glycemic and insulinemic profiles through the evening meal may have significant implications for improving sleep quality and cognitive performance, with potential impact on individual mental health, productivity, and overall well-being.

Genomic analyses revealed low genetic variation in the intron-exon boundary of the doublesex gene within the natural populations of An. gambiae s.l. in Burkina Faso

BackgroundThe recent success of a population control gene drive targeting the doublesex gene in Anopheles gambiae paved the way for developing self-sustaining and self-limiting genetic control strategies targeting the sex determination pathway to reduce and/or distort the reproductive capacity of insect vectors. However, targeting these genes for genetic control requires a better understanding of their genetic variation in natural populations to ensure effective gene drive spread. Using whole genome sequencing (WGS) data from the Ag1000G project (Ag3.0, 3.4 and 3.8), and Illumina pooled amplicon sequencing, we investigated the genetic polymorphism of the intron-4–exon-5 boundary of the doublesex gene in the natural populations of An. gambiae sensu lato (s.l.).ResultsThe analyses showed a very low variant density at the gRNA target sequence of the Ag(QFS)1 gene drive (previously called dsxFCRISPRh) within the populations of West and East Africa. However, populations from the forest area in Central Africa exhibited four SNP at frequencies ranging from 0.011 to 0.26. The SNP (2R:48714641[C > T]) at high frequencies, i.e. 0.26 is identified within the An. coluzzii population from Angola. The analyses also identified 90 low frequency (1 − 5%) SNPs in the genomic region around the gRNA target sequence (intron-4–exon-5 boundary). Three of these SNPs (2R:48714472 A > T; 2R:48714486 C > A; 2R:48714516 C > T) were observed at frequencies higher than 5% in the UTR region of the doublesex gene. The results also showed a very low variant density and constant nucleotide diversity over a five-year survey in natural An. gambiae s.l. populations of Burkina Faso.ConclusionThese findings will guide the implementation of doublesex-targeted gene drives to support the current control tools in malaria elimination efforts. Our methods can be applied to efficiently monitor the evolution of any sequence of interest in a natural population via pooled amplicon sequencing, surpassing the need for WGS.

Low Temperature Variation of Superfluid Phase Stiffness in the Presence of Two Mutually Exclusive Orderings

Low Temperature Variation of Superfluid Phase Stiffness in the Presence of Two Mutually Exclusive Orderings

A chromosome-scale reference genome of the Banna miniature inbred pig

The Banna miniature inbred pig (BN) is an intensively inbred line for biomedical research and xenotransplantation due to its low individual variation and stable genetic background. Although it is originated from the Diannan miniature pig (DN), substantial genetic changes have actually occurred. However, the lack of a BN reference genome has limited studies on the complete genomic architecture and utilization as a biomedical model. Here, we present a high-quality genome for BN using PacBio HiFi and Hi-C sequencing technologies, with a total length of 2.66 Gb, a scaffold N50 of 143.60 Mb, and 97.59% of the sequences anchored to chromosomes. Its BUSCO score is 96.30%, higher than porcine reference assembly and DN. The genome contains 48.49% of repeats, 19,756 protein-coding genes, and 7,207 non-coding RNAs according to our annotation. The OMArk score shows a proteome completeness and consistency of 99.58% and 93.62%, respectively. These findings indicate that the chromosome-scale genome of BN provides a valuable resource for studying the genetic basis of inbreeding, facilitating further research and clinical applications.

The Complete Mitochondrial Genome of the Luciocyprinus langsoni (Cypriniformes: Cyprinidae): Characterization, Phylogeny, and Genetic Diversity Analysis

Background: Luciocyprinus langsoni is a species belonging to the Cyprinidae family. The objective of this study is to gain a comprehensive understanding of its evolutionary history and genetic characteristics. Methods: The complete mitochondrial genome of L. langsoni was determined using overlapping PCR. A phylogenetic analysis was conducted based on 13 protein-coding genes from 48 species. A population genetic diversity analysis using the COI gene and a selection analysis of 13 protein-coding genes were also performed. Results: The mitogenome is 16,586 base pairs long and consists of 13 protein-coding genes, two ribosomal RNAs, 22 transfer RNAs, and two control regions. It has a high adenine-thymine (A + T) content. The phylogenetic analysis confirms the placement of L. langsoni within the subfamily Cyprininae. The population genetic diversity analysis reveals low variability in the Hechi Longjiang population. The selection analysis shows that all 13 protein-coding genes have evolved under purifying selection with Ka/Ks ratios below 1. Conclusions: These results enhance our understanding of L. langsoni’s evolutionary history and lay a genetic foundation for future studies in population genetics and phylogenetics.

Individual Variability in the Structural Connectivity Architecture of the Human Brain.

The human brain exhibits high degree of individual variability in both its structure and function, which underlies inter-subject differences in cognition and behavior. It was previously shown that functional connectivity is more variable in the hetero-modal association cortex but less variable in the unimodal cortices. Structural connectivity is the anatomical substrate of functional connectivity, but the spatial and temporal patterns of individual variability in structural connectivity (IVSC) remain largely unknown. In the present study, we discovered a detailed and robust chart of IVSC obtained by applying diffusion MRI and tractography techniques to 1724 adults (770 males and 954 females) from multiple imaging datasets. Our results showed that the structural connectivity exhibited the highest and lowest variability in the limbic regions and the unimodal sensorimotor regions, respectively. With increased age, higher IVSC was observed across most brain regions. Moreover, the specific spatial distribution of IVSC is related to the cortical laminar differentiation and myelination content. Finally, we proposed a modified ridge regression model to predict individual cognition and generated idiographic brain mapping, which was significantly correlated with the spatial pattern of IVSC. Overall, our findings further contribute to the understanding of the mechanisms of individual variability in brain structural connectivity and link to the prediction of individual cognitive function in adult subjects.Significance Statement White matter connectivity between grey matter regions plays an important role in integrating information from distributed regions when individuals performing complex cognitive functions. Unique white matter connectivity is the neuroanatomical identity of each individual. The authors systematically explored the spatio-temporal pattern of individual variability in structural connectivity, and the results show higher variability in structural connectivity relates to higher neuroplasticity. In addition, this study reveals that structural connectivity involved in executive function and attention task is different among individuals and highlights the importance of individualized statistical methods for mapping neural pathway of complex cognition.

Decadal riparian forest evolution beside a regulated lake: a case study in the Swiss lowlands

AbstractThe consequences of lake level regulation on riparian forests have been little investigated in Europe, although they shelter a wide variety of habitats and species and are threatened in most European countries. This study therefore aims to improve our understanding of the past and future dynamics of wetland forests in Central Europe. Historical plant surveys (conducted around 1980) were compared with more recent surveys (2020) at the same locations in the Grande Cariçaie reserves, along the Lake Neuchâtel (Switzerland), regulated since 1962. The inventories were clustered into plant communities, and floristic diversities were compared. Changes in environmental conditions were evaluated using ecological indicator values. The species composition in tree and shrub layers was compared to predict the potential future evolution of these forests. Four types of forest communities have been identified and denoted as the Alnus glutinosa, A. incana, Fraxinus excelsior and Pinus sylvestris groups. Over the course of 40 years, some sites shifted between communities, particularly from the wet A. incana group to the drier F. excelsior group. We noticed a loss of hygrophilous and heliophilous species. Moreover, the regeneration of the dominant tree species is very low in the A. glutinosa and F. excelsior groups, and even absent in the P. sylvestris group. The riparian forests on the shores of the regulated lake are losing their characteristics, with significant changes in species composition. Over 40 years, the conditions have become drier, the canopy density has increased, and the understorey has suffered from shadier conditions, resulting in a loss of diversity at the landscape scale. The drier conditions are probably mainly following the lake regulation (lower variations of water level), but increasing evapotranspiration due to climate change cannot be excluded.

Functional Analysis of TAAR1 Expression in the Intestine Wall and the Effect of Its Gene Knockout on the Gut Microbiota in Mice

Currently, the TAAR1 receptor has been identified in various cell groups in the intestinal wall. It recognizes biogenic amine compounds like phenylethylamine or tyramine, which are products of decarboxylation of phenylalanine and tyrosine by endogenous or bacterial decarboxylases. Since several gut bacteria produce these amines, TAAR1 is suggested to be involved in the interaction between the host and gut microbiota. The purpose of this present study was to clarify the TAAR1 function in the intestinal wall and estimate the TAAR1 gene knockout effect on gut microbiota composition. By analyzing public transcriptomic data of the GEO repository, we identified TAAR1 expression in enterocytes, enteroendocrine cells, tuft cells, and myenteric neurons in mice. The analysis of genes co-expressed with TAAR1 in enteroendocrine cells allows us to suggest the TAAR1 involvement in enteroendocrine cell maturation. Also, in myenteric neurons, we identified the co-expression of TAAR1 with calbindin, which is specific for sensory neurons. The 16S rRNA gene-based analysis of fecal microbiota revealed a slight but significant impact of TAAR1 gene knockout in mice on the gut microbial community, which manifests in the higher diversity, accompanied by low between-sample variability and reorganization of the microbial co-occurrence network.

Analyses of the Genetic Diversity and Population Structures of Sporothrix spp. Clinical Isolates from Paraíba, Brazil

Sporotrichosis is a subcutaneous mycosis of global distribution, capable of affecting both humans and animals, and caused by species of the genus Sporothrix spp. This study aimed to evaluate the genetic diversity and mating type distribution of clinical isolates of human sporotrichosis in Paraíba, Brazil, to better understand the population structure, epidemiology, and diversification of this pathogen, as well as to explore possible transmission routes. Methods: A total of 36 clinical isolates were morphologically identified, and clinical and demographic data were collected. Fungal DNA extraction was then performed, followed by species-specific PCR using markers targeting the calmodulin gene. The mating type idiomorph of the species was identified by PCR using primers targeting the MAT1-1 and MAT1-2 loci. Amplified Fragment Length Polymorphism (AFLP) was used to evaluate the genetic variability of Sporothrix spp. Results: The distribution of the disease identified that all cases occurred in João Pessoa and adjacent cities. From the 36 isolates, the majority (75%) being affected females, a prevalent occurrence of the lymphocutaneous form, and 98% zoonotic transmission were confirmed. Micro- and macromorphological structures were similar to each other, confirming Sporothrix spp. All isolates were confirmed as S. brasiliensis and the presence of a single sexual idiomorph, MAT1-2, was detected. The AFLP results indicate the possibility of the circulation of one or two genetic groups in João Pessoa and the metropolitan region. Conclusions: To our knowledge, this is the first time isolates in the Paraíba state are genetically characterised, all identified as Sporothrix brasiliensis. It is likely that this species in Paraiba originated from Rio de Janeiro, as all they possess the MAT1-2 idiomorph, indicating low intergenotypic variation.

In vitro culture of leukemic cells in collagen scaffolds and carboxymethyl cellulose-polyethylene glycol gel.

Chronic lymphocytic leukemia (CLL) is a common adult leukemia characterized by the accumulation of neoplastic mature B cells in blood, bone marrow, lymph nodes, and spleen. The disease biology remains unresolved in many aspects, including the processes underlying the disease progression and relapses. However, studying CLL in vitro poses a considerable challenge due to its complexity and dependency on the microenvironment. Several approaches are utilized to overcome this issue, such as co-culture of CLL cells with other cell types, supplementing culture media with growth factors, or setting up a three-dimensional (3D) culture. Previous studies have shown that 3D cultures, compared to conventional ones, can lead to enhanced cell survival and altered gene expression. 3D cultures can also give valuable information while testing treatment response in vitro since they mimic the cell spatial organization more accurately than conventional culture. In our study, we investigated the behavior of CLL cells in two types of material: (i) solid porous collagen scaffolds and (ii) gel composed of carboxymethyl cellulose and polyethylene glycol (CMC-PEG). We studied CLL cells' distribution, morphology, and viability in these materials by a transmitted-light and confocal microscopy. We also measured the metabolic activity of cultured cells. Additionally, the expression levels of MYC, VCAM1, MCL1, CXCR4, and CCL4 genes in CLL cells were studied by qPCR to observe whether our novel culture approaches lead to increased adhesion, lower apoptotic rates, or activation of cell signaling in relation to the enhanced contact with co-cultured cells. Both materials were biocompatible, translucent, and permeable, as assessed by metabolic assays, cell staining, and microscopy. While collagen scaffolds featured easy manipulation, washability, transferability, and biodegradability, CMC-PEG was advantageous for its easy preparation process and low variability in the number of accommodated cells. Both materials promoted cell-to-cell and cell-to-matrix interactions due to the scaffold structure and generation of cell aggregates. The metabolic activity of CLL cells cultured in CMC-PEG gel was similar to or higher than in conventional culture. Compared to the conventional culture, there was (i) a lower expression of VCAM1 in both materials, (ii) a higher expression of CCL4 in collagen scaffolds, and (iii) a lower expression of CXCR4 and MCL1 (transcript variant 2) in collagen scaffolds, while it was higher in a CMC-PEG gel. Hence, culture in the material can suppress the expression of a pro-apoptotic gene (MCL1 in collagen scaffolds) or replicate certain gene expression patterns attributed to CLL cells in lymphoid organs (low CXCR4, high CCL4 in collagen scaffolds) or blood (high CXCR4 in CMC-PEG).

Sex-Dependent Differences in the Elemental Composition of Internal Organs Determined via Total Reflection X-Ray Fluorescence and Inductively Coupled Plasma Optical Emission Spectroscopy

Background: Research on elemental changes in tissues and organs provides valuable information enabling better understanding of the physiological processes occurring in a living organism, as well as the pathogenesis and course of various diseases. They may also contribute to the development of new, more effective, and safer therapeutic strategies. So far, they have been carried out mainly on male individuals because of the easier planning and conducting of experiments as well as the lower variability of the results in comparison with studies involving females. Methods: The significance of incorporating both sexes in research concerning elemental alterations of tissues may be unveiled by data concerning the influence of sex on the physiological levels of selected elements in various rat organs. Therefore, here we determined and compared the levels of P, S, K, Ca, Fe, Cu, Zn, and Se in brains, hearts, kidneys, livers, and spleens taken from male and female rats. To measure the concentrations of the elements in digested tissue samples, ICP-OES and TXRF methods were utilized. Results: Significant differences between male and female rats were found for all the organs examined, and the concentrations of most of the tested elements were higher in males than females. The exception was Fe, the level of which in the kidneys and liver was higher in female rats. Sex influenced the elemental composition of spleen the most. For the brain, heart, kidneys, and liver, differences were sparse and were found mainly for the heavier elements.

Discovery of ART0380, a Potent and Selective ATR Kinase Inhibitor Undergoing Phase 2 Clinical Studies for the Treatment of Advanced or Metastatic Solid Cancers.

One of the hallmarks of cancer is high levels of DNA replication stress and defects in the DNA damage response (DDR) pathways, which are critical for maintaining genomic integrity. Ataxia telangiectasia and Rad3-related protein (ATR) is a key regulator of the DDR machinery and an attractive therapeutic target, with multiple ATR inhibitors holding significant promise in ongoing clinical studies. Herein, we describe the discovery and characterization of ART0380 (6), a potent and selective ATR inhibitor with a compelling in vitro and in vivo pharmacological profile currently undergoing Phase 2 clinical studies in patients with advanced or metastatic solid tumors as monotherapy and in combination with DNA-damaging agents (NCT04657068 and NCT05798611). ART0380 (6) has a favorable human PK profile suitable for both intermittent and continuous once-daily (QD) dosing, characterized by a dose-proportional increase in exposure and low variability.

Soil Moisture-Latent Heat Flux Coupling in Climate Modeling: Insights and Implications from the Offline Land Model

Abstract Understanding the relationship between soil moisture (SM) and latent heat flux (LE) is crucial for forecasting seasonal extremes like heat waves and droughts and grasping long-term climate systems. Despite its importance, substantial disparities exist among various models’ interpretations of this relationship. This study defines four SM-LE indicators: wilting point, critical SM, saturated LE, and SM-LE slope, characterizing SM-LE regimes and corresponding breakpoints delineating the regimes using segmented regression and scrutinizes model disparities by contrasting conventional coupled simulations with matching offline land model (LM) simulations within the CMIP6 framework. It is revealed that those indicators have lower variability among ensemble members from the same model than among different models. Moreover, all indicators except for SM-LE slope demonstrate strong correlations between the coupled and uncoupled simulations using the same LMs. While the spatial distributions of breakpoint values correspond only moderately well with the indicators’ values, they improve after adjusting for model atmospheric biases of precipitation and downward radiation. The impact of the atmospheric fields on the four SM-LE indicators is well correlated between the coupled and offline experiments, except for the relationship between precipitation and the wilting point. Consequently, this indicates a significant constraint of the SM-LE relationship in coupled model simulations determined by the LM's behavior. Thus, one may determine much about the land-atmosphere coupling behavior parsimoniously in a model system without running the fully coupled model, justifying a hierarchical approach for model development and assessment.

Feasibility of relaxation along a fictitious field in the 2nd rotating frame (TRAFF2) mapping in the human myocardium at 3 T.

Evaluate the feasibility of quantification of Relaxation Along a Fictitious Field in the 2nd rotating frame (RAFF2) relaxation times in the human myocardium at 3 T. mapping was performed using a breath-held ECG-gated acquisition of five images: one without preparation, three preceded by RAFF2 trains of varying duration, and one preceded by a saturation prepulse. Pixel-wise maps were obtained after three-parameter exponential fitting. The repeatability of , , and was assessed in phantom via the coefficient of variation (CV) across three repetitions. In seven healthy subjects, was tested for precision, reproducibility, inter-subject variability, and image quality (IQ) on a Likert scale (1 = Nondiagnostic, 5 = Excellent). Additionally, mapping was performed in three patients with suspected cardiovascular disease, comparing it to late gadolinium enhancement (LGE), native , , and ECV mapping. In phantom, showed good repeatability (CV < 1.5%) while showing no ( ) and high ( ) correlation with and , respectively. Myocardial maps exhibited overall acceptable image quality (IQ = 3.0 1.0) with moderate artifact levels, stemming from off-resonances near the coronary sinus. Average time across subjects and repetitions was 79.1 7.3 ms. Good precision (7.6 1.4%), reproducibility (1.0 0.6%), and low inter-subject variability (10.0 1.8%) were obtained. In patients, visual agreement of the infarcted area was observed in the map and LGE. Myocardial quantification at 3 T was successfully achieved in a single breath-hold with acceptable image quality, albeit with residual off-resonance artifacts. Nonetheless, preliminary clinical data indicate potential sensitivity of mapping to myocardial infarction detection without the need for contrast agents, but off-resonance artifacts mitigation warrants further investigation.

Teacher stress in social interactions in the light of polyvagal theory. An ambulatory assessment approach to teachers' heart rate and heart rate variability.

Teaching is a genuinely social and highly demanding task. Drawing on Porges' phylogenetic polyvagal theory with three evolved systems and three associated behavioral responses (social engagement, mobilization, and immobilization), we investigated teachers' heart rate and heart rate variability in social interactions using ambulatory assessments. We continuously measured heart rate and heart rate variability of 42 apparently healthy teachers on a work and leisure day with ambulatory electrocardiogram. We videotaped four consecutive, same-day lectures of each teacher. We trained observers to code student aggression and frontal teaching behaviors in an event sampling procedure with the behavior observation system for analyzing aggressive behavior in school settings. Additionally, perceived teacher-student relationship, social support from other teachers / school management, occupational complaints, and vital exhaustion were assessed by teacher self-reports. Teachers showed an increased heart rate and a decreased heart rate variability on a workday compared to a leisure day, anticipatory stress before classes, as well as insufficient recovery during lunchtime. Observed student aggression and high proportion of frontal teaching were associated with lower heart rate variability, while better perceived teacher-student relationship was correlated with higher heart rate variability. Differently, teachers' psychological strain and heart rate variability were unrelated to each other. Corresponding to polyvagal theory, results suggest that successful social interactions are fundamental for teachers' favorable cardiological reactions.

Broad Microbial Community Functions in a Conventional Activated Sludge System Exhibit Temporal Stability.

Wastewater microbial communities within conventional activated sludge (CAS) systems can perform hundreds of biotransformations whose relative importance, frequency, and temporal stability remain largely unexplored. To improve our understanding of biotransformations in CAS systems, we collected 24 h composite samples from the influent and effluent of a CAS system over 14 days, analyzed samples using high-resolution mass spectrometry (HRMS), and conducted a nontarget analysis of our HRMS acquisitions. We found that over 50% of the chemical features in the influent were completely removed, and the daily number of detected features exhibited low variability with a coefficient of variation of 0.07. Additionally, we found 352 Core chemical features present in every sample at both locations. We used chemical features to search for evidence of 19 potential biotransformations and detected 9 of these biotransformations at a frequency of over 80 times per day, where evidence for dehydrogenations, hydroxylations, and acetylations was most frequently detected. The daily number of detections for the 9 biotransformations exhibited coefficients of variation ranging from 0.13-0.20, revealing the broad temporal stability for these wastewater microbial community functions. This stability contrasts with the previously observed temporal variability for micropollutant biotransformations, suggesting that micropollutant biotransformations are linked to specialized microbial community functions.

The effect of HbA1c variability on the efficacy of intensive blood pressure control in patients with type 2 diabetes.

The efficacy of intensive blood pressure (BP) control remains controversial, and the variability of HbA1c was a risk factor for macrovascular events in patients with type 2 diabetes. We investigated whether the HbA1c variability modifies the efficacy of intensive BP control. Data from the Action to Control Cardiovascular Risk in Diabetes Blood Pressure (ACCORD-BP) trial was utilized. K-means clustering was used to cluster patients into three groups based on the HbA1c variability score and baseline HbA1c values. Cox proportional hazard models and generalized linear models were used to measure the subgroup differences in intensive BP control treatment effects. The primary outcome was a composite of nonfatal myocardial infarction (MI), stroke, or death from cardiovascular causes. In patients with low HbA1c variability rather than medium or high HbA1c variability, intensive BP control reduced the risk of the primary outcome on a relative scale (HR 0.60, 95%CI 0.40-0.90, p interaction was 0.03), non-fatal MI (HR 0.61, 95% CI 0.37-1.00, p interaction was 0.04) and stroke (HR 0.19, 95%CI 0.05-0.64, p interaction was 0.02) or absolute scale. Regardless of the variability group, intensive BP control did not reduce the risk of cardiovascular or all-cause mortality (p interaction >0.05) both on relative and absolute risk scales. HbA1c variability had effect on the efficacy of intensive BP control and intensive BP control brought a significant macrovascular benefit in patients with type 2 diabetes and low HbA1c variability.

An Unbiased Feature Estimation Network for Few-Shot Fine-Grained Image Classification.

Few-shot fine-grained image classification (FSFGIC) aims to classify subspecies with similar appearances under conditions of very limited data. In this paper, we observe an interesting phenomenon: different types of image data augmentation techniques have varying effects on the performance of FSFGIC methods. This indicates that there may be biases in the features extracted from the input images. The bias of the acquired feature may cause deviation in the calculation of similarity, which is particularly detrimental to FSFGIC tasks characterized by low inter-class variation and high intra-class variation, thus affecting the classification accuracy. To address the problems mentioned, we propose an unbiased feature estimation network. The designed network has the capability to significantly optimize the quality of the obtained feature representations and effectively reduce the feature bias from input images. Furthermore, our proposed architecture can be easily integrated into any contextual training mechanism. Extensive experiments on the FSFGIC tasks demonstrate the effectiveness of the proposed algorithm, showing a notable improvement in classification accuracy.

A Subset of Cortical Areas Exhibit Adult-like Functional Network Patterns in Early Childhood.

The human cerebral cortex contains groups of areas that support sensory, motor, cognitive, and affective functions, often categorized into functional networks. These networks show stronger internal and weaker external functional connectivity (FC), with FC profiles more similar within the same network. Previous studies have shown these networks develop from nascent forms before birth to their mature, adult-like structures in childhood. However, these analyses often rely on adult functional network definitions. This study assesses the potential misidentification of infant functional networks when using adult models and explores the consequences and possible solutions to this problem. Our findings suggest that although adult networks only marginally describe infant FC organization better than chance, misidentification is primarily driven by specific areas. Restricting functional networks to areas with adult-like network clustering revealed consistent within-network FC across scans and throughout development. These areas are also near locations with low network identity variability. Our results highlight the implications of using adult networks for infants and offer guidance for selecting and utilizing functional network models based on research questions and scenarios.

Genetic insights and conservation strategies for Amur tigers in Southwest Primorye Russia

Southwest Primorye hosts approximately 9% of the remaining wild Amur tiger population and represents hope for the revival of tigers in Northeast China and the Korean peninsula. Decades of conservation efforts have led to a significant increase in population size, from less than 10 individuals surviving in the region in 1996 to multiple folds today. However, while the population size has recovered since the mid-1900s, the effects of genetic depletion on evolutionary potential are not easily reversed. In this study, a non-invasive genetic analysis of the Amur tiger subpopulation in Southwest Primorye was conducted using microsatellite loci and mitochondrial genes to estimate genetic diversity, relatedness, and determine the impact of historical demographic dynamics. A total of 32 individuals (16 males, 15 females, and 1 unidentified sex) were identified, and signs of bottlenecks were detected, reflecting past demographic events. Low genetic variation observed in mitochondrial DNA also revealed genetic depletion within the population. Most individuals were found to be closely related to each other, raising concerns about inbreeding given the small population size and somewhat isolated environment from the main population in Sikhote-Alin. These findings emphasize the urgent need to establish ecological corridors to neighboring areas to restore genetic diversity and ensure the conservation of the Amur tiger population in Southwest Primorye.