Environmental Adaptation Research Articles

Telomere Dynamics in Zebrafish Aging and Disease.

Fish telomere lengths vary significantly across the numerous species, implicating diverse life strategies and environmental adaptations. Zebrafish have telomere dynamics that are comparable to humans and are emerging as a key model in which to unravel the systemic effects of telomere shortening on aging and interorgan communication. Here, we discuss zebrafish telomere biology, focusing on the organismal impact of telomere attrition beyond cellular senescence, with particular emphasis on how telomeric shortening in specific tissues can unleash widespread organ dysfunction and disease. This highlights a novel aspect of tissue communication, whereby telomere shortening in one organ can propagate through biological networks, influencing the aging process systemically. These discoveries position zebrafish as a valuable model for studying the complex interactions between telomeres, aging, and tissue cross talk, providing important insights with direct relevance to human health and longevity.

Influence of Absorber Contents and Temperatures on the Dielectric Properties and Microwave Absorbing Performances of C@TiC/SiO2 Composites

TiC provides a promising potential for high-temperature microwave absorbers due to its unique combination of thermal stability, high electrical conductivity, and robust structural integrity. C@TiC/SiO2 composites were successfully fabricated using a simple blending and cold-pressing method. The effects of C@TiC’s absorbent content and temperature on the dielectric and microwave absorption properties of C@TiC/SiO2 composites were investigated. The addition of C@TiC from 10 wt.% to 30 wt.% not only endows the composites with a higher dielectric constant and dielectric loss, but also with a greater high-temperature stability in terms of dielectric and microwave absorption properties. The composite with 30 wt.%C@TiC demonstrates a strong microwave absorption capability with a minimum reflection loss (RLmin) of −55.87 dB, −48.49 dB, and −40.36 dB at room temperature, 50 °C, and 100 °C, respectively; the 50 wt.%C@TiC composite exhibits an enhanced high-temperature microwave absorption performance with an RLmin of −16.13 dB and −15.72 dB at 200 °C and 300 °C, respectively. This study demonstrates that the TiC-based absorbers present an innovative solution for high-temperature microwave absorption, providing stability, versatility, and adaptability in extreme operational environments.

Psychogenic fever and neurodevelopmental disorders among Japanese children

BackgroundPsychosocial stress can induce various physical symptoms, including fever, which is a commonly seen symptom in pediatric practice. In cases of unexplained fever, psychogenic fever should be considered as a potential cause. Children with neurodevelopmental disorders may be more vulnerable to stress and therefore more prone to developing somatic symptoms than their peers. This study aimed to elucidate the characteristics of children with psychogenic fever and comorbidity.MethodsThis study included 21 patients with psychogenic fever who visited the Department of Pediatric Psychosomatic Medicine, Okayama University Hospital. Information on age, sex, disease onset, final estimated diagnosis, comorbidities, treatment course, and outcome was obtained from the patients’ medical records.ResultsOf the 21 patients included, 7 were boys and 14 were girls, and their median age was 13.0 (range: 8.6–14.6) years. A total of 19 patients had no attendance at school, and all patients showed signs of maladjustment in school. The comorbidities included orthostatic dysregulation (n = 4) and migraine (n = 3). Neurodevelopmental disorders were observed in nine patients, eight of whom were diagnosed after the initial visit. The mean treatment duration was 37.2 months. The outcomes were complete remission (n = 9), improvement (n = 4), discontinuation (n = 1), and referral to another physician (n = 7).ConclusionVarious comorbidities were observed in the patients of this study with psychogenic fever, including the coexistence of neurodevelopmental disorders, such as autistic spectrum disorder. Children with neurodevelopmental disorders are prone to psychological stress resulting from difficulties in social adjustment. It is crucial to understand the developmental characteristics and environmental adaptation of patients to facilitate accurate diagnosis and treatment.

Genome-wide phylogenetic analysis and expansion of gene families involved in detoxification in Smittia aterrima (Meigen)and Smittia pratorum (Goetghebuer) (Diptera, Chironomidae)

Smittia aterrima (Meigen, 1818) and Smittia pratorum (Goetghebuer, 1927) are important indicator insects for aquatic environments, showing extensive tolerance to the environment. However, the genome-wide phylogenetic relationships and characteristics of the detoxification mechanisms in S. aterrima and S. pratorum remain unclear. Based on the genomes of the two species obtained in our preliminary studies and nine genomes from the NCBI database, we found that chironomids diverged from other mosquitoes approximately 200 million years ago (MYA), and S. aterrima and S. pratorum diverged about 30 MYA according to phylogenetic analysis. Gene family evolution analysis showed significant expansion of 43 and 15 gene families in S. aterrima and S. pratorum, respectively, particularly those related to detoxification pathways. Positive selection analysis reveals that genes under positive selection are crucial for promoting environmental adaptation. Additionally, the detoxification-associated gene families including Cytochrome P450 (CYP), Glutathione S-transferases (GST), ATP-binding cassette (ABC), carboxylesterase (CCE), and UDP-glucuronosyltransferase (UGT) were annotated. Our analysis results show that these five detoxification gene families have significantly expanded in the chironomid genomes. This study highlights the genome evolution of chironomids and their responses to mechanisms of tolerance to environmental challenges.

Genome-Wide Structural Variation Analysis and Breed Comparison of Local Domestic Ducks in Shandong Province, China

Structural variations in the duck genome significantly impact the environmental adaptability and phenotypic diversity of duck populations. Characterizing these SVs in local domestic duck breeds from Shandong province offers valuable insights for breed selection and the development of new breeds. This study aimed to profile the genomic SVs in three local duck breeds (Matahu duck, Weishan partridge duck, and Wendeng black duck) and explore their differential distributions. A total of 21,673 SVs were detected using LUMPY (v0.2.13) and DELLY (v1.0.3) software, with 46% located in intergenic regions, 33% in intronic regions, and frameshift deletions being the most prevalent in exonic regions (3%). SVs distribution showed a decreasing trend with shorter chromosome lengths. Population structure analysis revealed distinct genetic profiles, with Matahu and Weishan partridge ducks showing closer affinities and the Wendeng black duck having a more homogeneous genetic background, likely due to geographic isolation. Functional annotation identified genes related to nervous system development, mitosis, spindle assembly, and energy metabolism. Notable genes included PLXNA4, NRP2, SEMA3A, PTEN, MYBL2, ADK, and COX4I1. Additionally, genes such as PRKG1, GABRA2, and FSHR were linked to energy metabolism and reproductive activity. The study provides a comprehensive analysis of SVs, revealing significant genetic differentiation and identifying genes associated with economically important traits, offering valuable resources for the genetic improvement and breeding of local duck breeds.

Anatomy and histology of the olfactory organ of the javelin goby Synechogobius hasta (Gobiiformes, Gobiidae)

The olfactory organ of Synechogobius hasta was investigated with a focus on its environmental adaptation, using stereo microscopy and light microscopy. This research revealed the following anatomical and histological characteristics: (i) tubular anterior nostril, (ii) one longitudinal lamella, (iii) two accessory nasal sacs, (iv) lymphatic cells in the lower part of the sensory epithelium, (v) four to five villi of olfactory receptor neurons, (vi) abundant blood capillaries beneath the sensory epithelium, and (vii) rod-shaped erythrocytes. These findings hint that the olfactory organ of S. hasta has anatomical and histological adaptations to intertidal pools that undergo periodic hypoxia and increased temperature under stagnant water conditions due to the tidal cycle.

Editorial: Prokaryotic microbes in arid regions: distribution, environmental adaptation, biogeochemical cycling, and cultivation

Editorial: Prokaryotic microbes in arid regions: distribution, environmental adaptation, biogeochemical cycling, and cultivation

Key Regulators of Parasite Biology Viewed Through a Post-Translational Modification Repertoire.

Parasites are the leading causes of morbidity and mortality in both humans and animals, imposing substantial socioeconomic burdens worldwide. Controlling parasitic diseases has become one of the key issues in achieving "One Health". Most parasites have sophisticated life cycles exhibiting progressive developmental stages, morphologies, and host-switching, which are controlled by various regulatory machineries including protein post-translational modifications (PTMs). PTMs have emerged as a key mechanism by which parasites modulate their virulence, developmental transitions, and environmental adaptations. PTMs are enzyme-mediated additions or removals of chemical groups that dynamically regulate the stability and functions of proteins and confer novel properties, playing vital roles in a variety of biological processes and cellular functions. In this review, we circumscribe how parasites utilize various PTMs to regulate their intricate lives, with a focus on the biological role of PTMs in parasite biology and pathogenesis.

The Optimization and Application Research of the RRT-APF-Based Path Planning Algorithm

To address the shortcomings of the original rapidly-exploring random tree (RRT) algorithm, such as long and non-smooth paths, slow convergence to the goal region, and limited adaptability in dynamic environments, this paper proposes a hybrid path planning method combining the artificial potential field (APF) approach with the RRT algorithm. This integrated approach leverages the strengths of both methods to achieve efficient, collision-free path planning in both two-dimensional and three-dimensional environments. The algorithm overcomes the local minima problem inherent in APF while maintaining the RRT’s efficiency in high-dimensional spaces and complex environments. A dynamic adjustment strategy is introduced to adapt to specific application scenarios and varying environmental complexity. Additionally, Bezier curve fitting is applied to smooth the resulting paths. Simulations conducted in various environments demonstrate the effectiveness of the proposed method, highlighting its efficiency and robustness in generating collision-free paths. Compared to the original RRT algorithm, the proposed method reduces path length by 13.4% to 24.9% and decreases search time by 9.8% to 56.5%, improving both path quality and planning efficiency.

Anion‐Selective Ion Conductor Boosting Highly Flexible All‐In‐One Electrochromic Fabrics

AbstractFlexible all‐in‐one electrochromic fabrics (AECF) have attracted attention for application in wearable intelligent electronics. However, undifferentiated and disordered ion transport within the AECFs usually cause a slow transfer kinetics of reactive ions and thus restrict their electrochromic performance. Here, a new strategy is proposed to optimize active ion transport based on a well‐designed anion‐selective ion conductor (ASIC) for boosting the anionic AECF. The ASIC is developed by the interaction difference between ions and electronegative functional groups in the fabric substrate. Benefiting from cation immobilization and free anion transport, the ASIC exhibits both high anion transference number (0.75) and ionic conductivity (2.41 × 10−3 S cm−1) at room temperature. Such optimization of anion transport dynamics enhances the efficiency of the electrochromic redox reaction in the polyaniline‐based anionic AECF, contributing to a significant improvement of the overall electrochromic performance. Based on the switchable earth yellow and dark green discoloration, the AECF is further integrated into a camouflage uniform, achieving dynamic environment adaptation in deserts or forests. This work is anticipated to provide some fresh ideas for developing functional ion conductors of electrochromic fabrics toward applications in wearable intelligent electronics.

Numerical Study on the Hydrodynamics of Fish Swimming with Different Morphologies in Oblique Flow

In confined and intricate aquatic environments, fish frequently encounter the need to propel themselves under oblique flow conditions. This study employs a self-developed ghost-cell immersed boundary method coupled with GPU acceleration technology to numerically simulate the propulsion dynamics of flexible biomimetic fish swimming in oblique flow environments. This research scrutinizes diverse biomimetic fish fin morphologies, with particular emphasis on variations in the Strouhal number and angle of attack, to elucidate hydrodynamic performance and wake evolution. The results demonstrate that as the fin thickness increases, the propulsion efficiency decreases within the Strouhal number range of St = 0.2, 0.4. Conversely, within the range of St = 0.6 to 1.0, the efficiency variations stabilize. For all three fin morphologies, an increase in the Strouhal number significantly augmented both the lift-to-drag ratio and thrust, concomitant with a transition in the wake structure from smaller vortices to a larger alternating vortex shedding pattern. Furthermore, within the Strouhal number range of St = 0.2 to 0.4, the propulsion efficiency exhibits an increase, whereas in the range of St = 0.6 to 1.0, the propulsion efficiency stabilizes. As the angle of attack increases, the drag coefficient increases significantly, while the lift coefficient exhibits a diminishing rate of increase. An increased fin thickness adversely affects the hydrodynamic performance. However, this effect attenuates at higher Strouhal numbers. Conversely, variations in the angle of attack manifest a more pronounced effect on hydrodynamic performance. A thorough investigation and implementation of the hydrodynamic mechanisms demonstrated by swimming fish in complex flow environments enables the development of bio-inspired propulsion systems that not only accurately replicate natural swimming patterns, but also achieve superior locomotion performance and robust environmental adaptability.

CsIREH1 phosphorylation regulates DELLA protein affecting plant height in cucumber (Cucumis sativus).

Plant height is a critical agronomic trait that affects crop yield, plant architecture, and environmental adaptability. Gibberellins (GAs) regulate plant height, with DELLA proteins acting as key repressors in the GA signaling pathway by inhibiting GA-induced growth. While DELLA phosphorylation is essential for regulating plant height, the precise mechanisms underlying this process remain incompletely understood. In this study, we identified a cucumber mutant with delayed growth, which exhibited reduced sensitivity to GA treatment. Through bulked segregant analysis (BSA-seq) combined with molecular marker linkage analysis, we successfully identified and cloned the gene responsible for the dwarf phenotype, CsIREH1 (INCOMPLETE ROOT HAIR ELONGATION 1), which encodes an AGC protein kinase. Further research revealed that CsIREH1 interacts with and phosphorylates DELLA proteins, specifically targeting CsGAIP and CsGAI2. We propose that IREH1-dependent phosphorylation of DELLA proteins prevents their excessive accumulation, thereby maintaining normal plant growth. Therefore, investigating the role of IREH1-mediated DELLA phosphorylation provides valuable insights and theoretical foundations for understanding how plants regulate growth mechanisms.

Active Perception in SLAM Exploration: Problem Formulation and Methods Review

Active SLAM (A-SLAM) aims to enable an agent’s autonomous exploration and mapping task, provide robustness and accuracy in both localization and mapping and enhance environmental adaptivity in applications. Its working principle, as a holistic probabilistic-based problem in model formulation, can be divided into three decoupled working stages and accordingly solved, these stages are brief action identification, cost and utility computation, and action execution. The identification stage needs reasoning on what and where to look at in order to diminish uncertainty in an efficient fashion, by employing sensory methods and performing searching or optimization tasks with appropriate environmental representations, to feed the following stages with a discretized set of planning goals. This is the active perception problem by definition. The activeness of active SLAM is mostly decided at the perception stage with appropriate quantifying measures. This paper revisits the formulation of the A-SLAM problem especially by the stage of active perception, reviews its environmental representations (maps) and related modeling measures for information and uncertainty, underlines a sample-based aim of maximizing the information gain from sensors with respect to corresponding maps, and make comments on some novel approaches.

A Seed Endophytic Bacterium Cronobacter dublinensis BC-14 Enhances the Growth and Drought Tolerance of Echinochloa crus-galli

Successful seed germination and plant seedling growth often require association with endophytic bacteria. Barnyard grass (Echinochloa crus-galli (L.) P. Beauv.) is a main weed during rice cultivation and has frequently been found in drought-prone fields such as cornfields in recent years. To determine whether endophytic bacteria enhance the survival chances of barnyard grass in dryland conditions, endophytic bacteria were collected from barnyard grass seeds. An endophytic bacterial strain, BC-14, was selected and confirmed as Cronobacter dublinensis based on its morphology, physiology, biochemistry, and genomic information. Moreover, C. dublinensis BC-14 secreted IAA in the Luria–Bertani broth up to 28.44 mg/L after 5 days; it could colonize the roots of barnyard grass. After the inoculation with seeds or the well-mixed planting soil, the bacterium can significantly increase the root length and plant height of barnyard grass under drought conditions. When comparing with the control group on the 28th day, it can be seen that the bacterium can significantly increase the contents of chlorophyll b (up to 7.58 times) and proline (37.21%); improve the activities of superoxide dismutase, catalase, and peroxidase (36.90%, 51.51%, and 12.09%, respectively); and reduce the content of malondialdehyde around 25.92%, which are correlated to the drought tolerance. The bacterial genomic annotation revealed that it contains growth-promoting and drought-resistant functional genes. In a word, C. dublinensis BC-14 can help barnyard grass suppress drought stress, promote plant growth, and enhance biomass accumulation, which is helpful to interpret the mechanism of weed adaptability in dry environments.

Geometric nonlinear analysis based on the generalized displacement control method and orthogonal iteration

Abstract In response to the shortcomings of insufficient efficiency in calculating geometric nonlinear features and high environmental impact in the current construction, this study explores the control of nonlinear geometric structures based on an updated Lagrangian model function in the construction. In this method, the change in the geometric nonlinear stiffness is analyzed using generalized stiffness parameters and a displacement increment method, and the iteration step size and loading/unloading directions are adjusted in the iteration process to achieve the convergence of the solution. In the simulation experiment, the proposed method took 126 s to calculate the incremental iteration steps 700 times in a conventional environment, which is 28.8% more efficient than the cross-sectional method. In the simulated disaster environment, the model took 1,615 s to calculate the ultimate load of 84 contact elements, which is 43.1% more efficient than the section method and 62.6% more efficient than the discrete analysis method. Experimental results showed that the displacement judgment calculation efficiency of the method proposed in this study is higher than that of other models under different loading and unloading conditions and even in geological disaster states. This method had high environmental adaptability in solving nonlinear building structures and could improve the efficiency of solving general nonlinear building results.

Microbial community structure and functional traits involved in the adaptation of culturable bacteria within the gut of amphipods from the deepest ocean.

Amphipods are widely distributed in the Hadal trenches, and the study of their gut microbes has garnered considerable scientific interest. Our research breaks away from traditional omics approaches, innovatively combining sequencing technologies with culture-dependent methods to analyze the gut microbiome structure of amphipods from the Mariana Trench. This not only complements the current omics-dominated field but also paves the way for future resource development of extreme microbes. Furthermore, by conducting genomic analyses and functional validations on a representative strain, we have uncovered its probiotic effects and strategies for adapting to extreme environments. This provides new insights into the theoretical study of the ecological functions of deep-sea bacteria. Overall, our findings offer a fresh perspective on the microbial community structure and environmental adaptation strategies of gut microorganisms in the Hadal Zone.

Identification of the LH2 Locus for Prostrate Hair Density in Grapevine

Prostrate hairs are one of the anatomic barriers for grapevine resistance to pests and diseases, as well as in environmental adaptability, making them valuable for breeding programs. This study investigates the genetic determinants underlying prostrate hair density in grapevine, a key trait associated with resistance to pests and pathogens. Using an F1 hybrid population derived from Vitis vinifera L. ‘Cabernet Sauvignon cv.’ and V. pseudoreticulata W.T.Wang ‘Huadong1058’, we performed a combination of quantitative trait locus (QTL) mapping and genome-wide association study (GWAS) to identify the genomic regions influencing the density of prostrate hair. We identified a major locus on 9.56–10.54 Mbp of chromosome 17, designated as ‘LH2’, which accounts for 43% of the phenotypic variation. This locus was delineated with high precision, and 92 candidate genes were identified within the region. Functional enrichment analysis suggested that these genes are potentially involved in binding, catalytic activity, and various cellular processes. In particular, the SNP markers ‘chr17_10130288’ and ‘chr17_10428273’ were significantly associated with prostrate hair density, providing valuable information for marker-assisted selection. These findings offer a reliable target for analyzing the hair development mechanism of grapevine leaves and breeding new cultivars rich in prostrate hair on the back of the leaves.

Research on 3D Localization of Indoor UAV Based on Wasserstein GAN and Pseudo Fingerprint Map

In addition to outdoor environments, unmanned aerial vehicles (UAVs) also have a wide range of applications in indoor environments. The complex and changeable indoor environment and relatively small space make indoor localization of UAVs more difficult and urgent. An innovative 3D localization method for indoor UAVs using a Wasserstein generative adversarial network (WGAN) and a pseudo fingerprint map (PFM) is proposed in this paper. The primary aim is to enhance the localization accuracy and robustness in complex indoor environments. The proposed method integrates four classic matching localization algorithms with WGAN and PFM, demonstrating significant improvements in localization precision. Simulation results show that both the WGAN and PFM algorithms significantly reduce localization errors and enhance environmental adaptability and robustness in both small and large simulated indoor environments. The findings confirm the robustness and efficiency of the proposed method in real-world indoor localization scenarios. In the inertial measurement unit (IMU)-based tracking algorithm, using the fingerprint database of initial coarse particles and the fingerprint database processed by the WGAN algorithm to locate the UAV, the localization error of the four algorithms is reduced by 30.3% on average. After using the PFM algorithm for matching localization, the localization error of the UAV is reduced by 28% on average.

Hybrid Soybean as Green Manure for Improving Soil Properties and Subsequent Crop Growth

The rapid increase in fertilizer use has led to the degradation of soil quality, nutrient imbalances, reduced biodiversity, and soil compaction. To address these challenges, hybrid soybeans with efficient biological nitrogen fixation capabilities and broad environmental adaptability were selected as green manure to reduce fertilizer application, thereby improving soil fertility and structure. This study utilized the varieties “Forage Soybean S001” (S001), “Neinong S002 Forage Soybean” (S002), “Mengnong S003 Forage Soybean” (S003), “Mengnong S004 Forage Soybean” (S004), “Mengnong S005 Forage Soybean” (S005), and “Mengnong S006 Forage Soybean” (S006) as green manure materials. The clean tillage (CK) treatment served as the control, ensuring a residue-free soil surface while maintaining consistent practices in soil preparation, irrigation, and field management across all treatments. Field planting of green manure and subsequent crops was conducted at the M-Grass Ecology and Environment (Group) Company’s experimental site in Hohhot in early May of 2023 and 2024. The plots each measured 20 m2, with three replications arranged in a randomized block design. A combination of field experiments and laboratory analyses was utilized to investigate the effects of incorporating various hybrid soybean varieties as green manure on soil nutrient levels, soil enzyme activity, soil microbial communities, and the subsequent growth of oats. The results indicated that incorporating various hybrid soybean varieties as green manure into the soil significantly improved soil nutrient levels and enzyme activity. The diversity and richness of soil bacterial communities increased significantly, accompanied by alterations in community structure and composition. These changes enhanced soil fertility and optimized the microbial community structure, promoting the growth of subsequent crops. Among all the treatments, S001 and S004 were particularly effective in enhancing the soil environment, indicating their potential as superior green manure resources for broader application.

Inter-year consistencies and discrepancies on intestinal microbiota for overwintering relict gulls: correlations with food composition and implications for environmental adaptation

The gut microbiota of migratory birds is influenced by their food choices, and exploring the potential relationship between diet composition and gut microbiota can help better protect related species. By integrating non-invasive sampling techniques, high-throughput sequencing technology, and microscopic examination technology, this study presents the first evidence on diet composition during overwintering periods as well as the potential relationship between diet composition and gut microbiota in wild relict gulls (Larus relictus). Thirty-five fecal samples from two consecutive overwintering periods (2021 and 2022 overwintering periods) in Tianjin coastal wetland were used to investigate inter-year consistencies and discrepancies on diet composition and gut microbiota in wild Larus relictus. It was found that the common dominant phyla of both 2021 and 2022 group included Firmicutes, Proteobacteria, Chloroflexi and Actinobacteriota. The common dominant genera were Catellicoccus and Ilumatobacter. The diversity of gut microbiome in 2022 group was higher, while the richness was not significantly different. Based on the high-throughput sequencing technology of 18S rDNA, the study found that the dominant classes within the diet components of Larus relictus included Polychaeta, Bivalvia, Malacostraca, Gastropoda, unclassified_p__Dinoflagellata, Dinophyceae, and Ostracoda. Among them, Bivalvia, Malacostraca, and Gastropoda were also found with microscopic examination technology from the same samples. The abundance of Fusobacteriota and Cetobacterium were positively correlated with the abundance of Bivalvia and Malacostraca; while the abundance of Psychrobacter and Breznakia were negatively correlated with the abundance of Malacostraca and Gastropoda. Findings from this study could provide scientific references for health monitoring and conservation of relict gulls.