Search Results (380)

Global warming has intensified frequency and severity of extreme heat events, critically threatening cucumber (Cucumis sativus L.) production worldwide. To elucidate the mechanisms underlying heat tolerance, a comparative study was conducted between a heat-tolerant cultivar (N24) and a heat-sensitive cultivar (G30) under 43 °C stress. Using a combination of RNA sequencing and widely targeted metabolomics, we found that genotype N24 exhibited superior phenotypic at ability, characterized by reduced leaf wilting, lower membrane lipid peroxidation, and more stable reactive oxygen species (ROS) homeostasis. Genotype N24 exhibited superior phenotypic stability, characterized by reduced leaf wilting, lower membrane lipid peroxidation, and more stable reactive oxygen species (ROS) homeostasis. Transcriptomic profiling showed genes associated with photosynthesis and thylakoid membrane function were upregulated in N24, while hormone signaling pathways was enriched in G30. 93 N24-specific and 83 G30-specific differentially expressed genes were identified, including transcription factors such as HSF, bHLH, and bZIP. Widely targeted metabolomics further demonstrated that specific protective metabolite, such as 3-methyluric acid was accumulated and showed the ABC transporter pathway was also significant enriched in N24 plants. Integrated transcriptomic and metabolomic analysis suggested that ABC transporters may enhanced thermotolerance by facilitating the transport and subcellular compartmentalization of antioxidant metabolites. Collectively, these findings indicated heat tolerance in cucumber involved a synergistic regulatory network encompassing photosynthesis maintenance, transcription factor activation, and ABC transporter-mediated metabolic reprogramming. This study provides novel insights and valuable genetic resources for breeding heat-resilient cucumber varieties in a warming climate. Full article

Background/Objectives: Prolonged fasting—defined as voluntary abstinence from caloric intake for periods exceeding 24 h—is increasingly recognized not only as a metabolic intervention but also as a psycho-behavioral modulator. According to the 2024 international consensus, intermittent fasting encompasses diverse temporal patterns including time-restricted feeding, alternate-day fasting, and periodic fasting of multi-day duration. While metabolic benefits are well documented, the psychoneurobiological and psychiatric consequences remain incompletely characterized. This review critically appraises current evidence on the psychological and psychiatric effects of prolonged and intermittent fasting, including both secular and religious practices. Methods: A narrative synthesis was conducted on clinical trials, observational studies, and translational research published between January 2010 and June 2025 in PubMed, Scopus, and PsycINFO. Search terms included combinations of “prolonged fasting,” “intermittent fasting,” “psychological,” “psychiatric,” “religious fasting,” “Ramadan,” and “Orthodox Church.” Eligible studies required explicit evaluation of mood, cognition, stress physiology, or psychiatric symptoms. Data were analyzed qualitatively, with particular attention to study quality, fasting regimen characteristics, and participant vulnerability. This is a non-registered narrative synthesis drawing on clinical trials, observational studies, and preclinical evidence published between January 2010 and June 2025. Results: Eighty-seven studies met inclusion criteria (39 human; 48 preclinical). In metabolically healthy adults, short-term time-restricted eating and supervised prolonged fasting were associated with modest reductions in depressive symptoms and perceived stress, with small improvements in executive functioning—typically observed in small samples and with limited follow-up. Religious fasting during Ramadan and the Orthodox Christian fasting periods demonstrated similar neuropsychological effects, including greater perceived spiritual meaning and affective modulation, though cultural context played a moderating role. Potential adverse mental-health impacts included mood destabilization, anxiety exacerbation, and rare psychotic or manic decompensations in vulnerable individuals. Randomized trials reported few adverse events and no signal for severe psychiatric harm, whereas observational studies more often noted symptom exacerbations in at-risk groups. Patients with eating disorder phenotypes exhibited increased cognitive preoccupation with food and a heightened risk of behavioral relapse. Methodological heterogeneity across studies—including variation in fasting protocols, psychological assessments, and follow-up duration—limited cross-study comparability. Conclusions: Evidence indicates a bidirectional relationship wherein fasting may foster psychological resilience in select populations while posing significant psychiatric risks in others. Inclusion of religious fasting traditions enriches understanding of culturally mediated outcomes. To enhance rigor and safety, future studies should incorporate clinician-rated outcomes (e.g., HDRS-17, CGI-S/CGI-I), standardized adverse-event tracking using validated psychiatric terminology, and prospective safety monitoring protocols, with ≥6–12-month follow-up. Full article

Perennial ryegrass is a widely cultivated cool-season forage and turf grass species whose growth and development are limited by drought and high temperature. MAX2 is an F-box leucine-rich repeat (LRR) protein, which serves as a central component of strigolactone (SL) and karrikin (KAR) signaling pathways, involved in multiple growth and developmental processes as well as stress response. Here, we identified LpMAX2, a perennial ryegrass (Lolium perenne L.) homolog of Arabidopsis MAX2 (AtMAX2) and rice D3. LpMAX2 can interact with AtD14 and LpD14 in an SL-dependent manner, implying functional conservation with AtMAX2. Overexpression of LpMAX2 in the Arabidopsis max2-3 mutant partially rescued leaf morphology, hypocotyl elongation, and branching phenotypes, while fully restoring drought tolerance, highlighting the evolutionarily conserved roles of MAX2 in plant growth and drought resistance. In conclusion, LpMAX2 is evolutionarily conserved in SL/KAR signaling pathways, highlighting its potential function in drought adaptation. In addition to elucidating the biological function of LpMAX2, this study identifies a promising genetic target for enhancing stress resilience in forage grasses through biotechnological approaches. Full article

Recent advances in molecular breeding techniques have greatly accelerated the development of improved soybean varieties with enhanced agronomic and nutritional traits. This review summarizes current research on innovative molecular approaches, including marker-assisted selection (MAS), genomic selection (GS), CRISPR/Cas9-mediated gene editing, and RNA interference (RNAi) for soybean improvement. Marker-assisted selection using simple sequence repeats (SSRs) and single-nucleotide polymorphisms (SNPs) has facilitated the efficient identification and incorporation of desired traits such as disease resistance, abiotic stress tolerance, and improved seed quality. Genomic selection has improved prediction accuracy for complex quantitative traits such as yield by integrating genome-wide molecular markers with phenotypic data. CRISPR/Cas9 technology has enabled precise genetic modification, resulting in soybeans with improved oil composition, increased isoflavone content and resistance to biotic stresses. RNA interference has successfully modulated gene expression to optimize nutritional properties and stress responses. These molecular breeding approaches overcome the limitations of traditional methods by shortening the breeding cycle and allowing for simultaneous improvement of multiple traits. The integration of these complementary techniques offers promising avenues for developing climate-resilient, high-yielding soybean varieties with improved nutritional profiles to address global food security challenges. Full article

Background: Youth football players experience rapid physical and biological changes while being exposed to high training loads, increasing performance demands and musculoskeletal injury risk. Current evaluations often analyze anthropometric, physiological, and biological domains separately, and few studies integrate these dimensions using machine-learning (ML) approaches. Objective: To provide a multidimensional assessment of elite youth football players and investigate how anthropometric, physical, and biological markers jointly relate to performance through classical statistics and ML. Methods: One hundred elite players (14–18 years) underwent standardized anthropometric, physical, and laboratory assessments. Analyses included descriptive statistics, ANOVA/MANOVA, PCA, factor analysis, composite biological indices, and ML models (linear regression, SVR) with 5-fold cross-validation. K-means clustering explored hidden adaptation phenotypes. Results: Older players showed higher weight and BMI, physical testing revealed consistent limb asymmetry (~5%), and biological markers remained within reference ranges. PCA and factor analysis extracted latent structural and metabolic domains. Linear regression predicted performance with R² ≈ 0.59, while SVR underperformed. K-means identified three adaptation phenotypes. Conclusions: Performance and resilience arise from interactions between structural, functional, and biological domains. Interpretable ML methods enhance individualized monitoring, early risk detection, and evidence-based injury-prevention strategies. Full article

Insulin resistance, dyslipidemia, hypertension, and visceral adiposity are the leading causes of the growing worldwide health burden associated with metabolic syndrome, obesity, and cardiovascular diseases (CVDs). Despite the “obesity paradox,” which emphasizes the varied cardiovascular outcomes among obese people, obesity is now acknowledged as an active contributor to cardiometabolic dysfunction through endocrine, inflammatory, and metabolic pathways. Growing evidence indicates that nutrition is a key determinant of cardiometabolic risk, highlighting the need to understand diet-mediated mechanisms linking adipose tissue to cardiac function. Adipokines, including adiponectin, leptin, TNF-α, and resistin, which regulate systemic inflammation, metabolic homeostasis, and myocardial physiology, are secreted by adipose tissue, which is no longer thought of as passive energy storage. Its heterogeneous phenotypes, white, brown, and beige adipose tissue, exhibit distinct metabolic profiles that influence cardiac energetics and inflammatory status. Nutrient-driven transitions between these phenotypes further underscore the intricate interplay between diet, adipose biology, and cardiac metabolism. Central nutrient-sensing pathways, including mTOR, AMPK, SIRT1, PPAR-γ, and LKB1, integrate macronutrient and micronutrient signals to regulate adipose tissue remodeling and systemic metabolic flexibility. These pathways interact with hormonal mediators such as insulin, leptin, and adiponectin, forming a complex regulatory network that shapes the adipose-cardiac axis. This review synthesises current knowledge on how nutrient inputs modulate adipose tissue phenotypes and signaling pathways to influence cardiac function. By elucidating these mechanisms, we highlight emerging opportunities for precision nutrition and targeted therapeutics to restore metabolic balance, strengthen cardiac resilience, and reduce the burden of cardiometabolic disease. Full article

In Romania’s wild flora, several Iris species exhibit important ornamental characteristics, such as early spring flowering and resilience to abiotic stress. This study assessed the behavior to new ecological conditions, the ornamental potential, and the antioxidant capacity of the wild species of Iris brandzae using morpho-anatomical, physiological, and biochemical biomarkers. The study of phenotypic characteristics (number and size of leaves on sterile and fertile shoots, size of flowering stems, bracts protecting the flowers, and perianth-segments) aimed to confirm and supplement existing information in the literature, as well as to evaluate the ornamental potential of this species. Morphological analyses revealed clear differences between fertile and sterile shoots, while photosynthetic activity across phenophases showed values within normal parameters, with the maximum recorded during flowering and with the chlorophyll a/chlorophyll b ratio maintained at values close to 3:1, indicating favorable cultivation conditions. Biochemical investigations (total phenolic content (TPC), total flavonoid content (TFC), and antioxidant activity) demonstrated that dried plant material, particularly roots, contained higher levels of phenolic and flavonoid compounds and exhibited stronger antioxidant activity compared to fresh material. By integrating morpho-anatomical, physiological, and biochemical data, this research provides the first comprehensive characterization of I. brandzae beyond taxonomic and ecological descriptions. Our findings emphasize the species behavior under cultivation conditions, its ornamental value, and its potential as a source of bioactive compounds relevant to pharmaceutical applications. Full article

This narrative review aims to summarize, synthesize, and organize current knowledge on the adaptation of sheep and goats to stressful environments and to discuss how these adaptations contribute to food security in vulnerable communities. A structured search of Web of Science, Scopus, PubMed, and Google Scholar was conducted using combinations of terms related to sheep and goats, harsh environments (e.g., arid and semi-arid regions, heat stress, water restriction, poor-quality forage), and adaptation or resilience, combined with Boolean operators. A total of 1718 research publications were found, of which 86 were retained as the most relevant because they provided direct and detailed evidence on anatomical, physiological, digestive–microbiome, behavioral, and genomic adaptations of sheep and goats to stressful environments. The selected studies describe a wide range of phenotypic and integumentary traits, thermoregulatory and endocrine responses, digestive and microbial adjustments, behavioral strategies, and genomic signatures that, together, allow small ruminants to maintain basic functions, reproduction, and production under conditions of climatic and nutritional stress. Evidence from these studies also highlights how adaptive traits support herd productivity, economic stability of households, and the sustainable use of natural resources in regions where climatic variability and resource scarcity are common. Overall, the synthesis presented here underscores the importance of conserving and strategically using locally adapted sheep and goat breeds, incorporating resilience-related traits into breeding and management programs, and prioritizing further research on genomic, microbiome, and epigenetic mechanisms that underpin adaptation to harsh environments. Full article

Heat stress significantly impairs dairy cow health and productivity, highlighting the need to understand the gut microbiome–metabolite interactions that contribute to heat tolerance. Here, we integrated metagenomic sequencing and untargeted metabolomics in twelve holstein cows selected from a previously phenotyped herd of 120 individuals, including six heat-tolerant (HT) and six heat-sensitive (HS) cows identified using entropy-weighted TOPSIS scoring. HT cows were enriched in genera such as Faecalimonas and UBA737, which were functionally linked to pathways of energy and lipid metabolism, whereas, HS cows harbored taxa associated with bacterial lipopolysaccharide and glycosphingolipid biosynthesis. A total of 135 metabolites were differentially abundant between groups. Among them, glycerol 2-phosphate and 24(28)-dehydroergosterol showed perfect classification performance (AUC = 1.000), and were mainly involved in membrane lipid remodeling and redox regulation. Integrated analysis revealed coordinated microbial–metabolite networks, exemplified by the Faecalimonas–LysoPS (16:0/0:0) and UBA737–Glycerol 2-phosphate axes, suggesting functional coupling between microbial composition and metabolic adaptation. Together, these findings demonstrate that HT cows harbor gut microbiota and metabolites favoring energy balance, membrane remodeling, and oxidative stress resilience, while HS cows display stress-related metabolic patterns. This study elucidates the microbial–metabolic mechanisms underlying thermal resilience and highlights potential biomarkers and metabolic pathways that could be applied in heat-tolerance breeding and precision management of dairy cattle. Full article

Cherimoya is a fruit tree native to the Andean regions of South America, also in Central America, prized for its flavor, nutritional properties, and medicinal potential. Despite its economic relevance, in situ assessments of phenotypic diversity are limited, particularly in southern Ecuador, a key center of domestication. This study evaluated the morphological and ecogeographic diversity of 270 native trees across eight cantons in Loja province, Ecuador, using 34 qualitative and quantitative descriptors of leaves, flowers, fruits, and seeds. High phenotypic variability was observed, with coefficients of variation exceeding 40% for key traits, including mature fruit weight (48.15%), pulp weight (55.33%) and pulp-to-seed ratio (64.23%). Principal component analysis revealed three major axes of variation associated with productivity, floral morphology, and organoleptic quality. Cluster analysis identified four groups, with one distinguished by a favorable pulp-to-seed ratio and sugar–acid content. Species distribution modeling, which included bioclimatic and soil variables, showed that Gonzanamá, Quilanga and Espíndola possess the highest ecological suitability for cherimoya. These findings highlight priority areas for in situ conservation and phenotype selection, providing a foundation for sustainable use, genetic improvement, and the preservation of locally adapted germplasm to support climate-resilient agricultural systems. Full article

Climate change is driving urgent demand for resilient crop varieties capable of withstanding extreme and changing conditions. Identifying resilient varieties requires systematic plant phenotyping research under controlled conditions, where dynamic environmental impacts can be studied. Current growth cabinets (GC) provide this capability but remain limited by high costs, static environments, and scalability. These limitations pose a challenge for climate change-based phenotyping research which requires large-scale trials under a variety of dynamic climate conditions. Presented is a microclimate-controlled smart growth cabinet (MCSGC) platform, addressing these limitations through four innovations. The first is dynamic microclimate simulation through programmable environmental ‘recipes’ reproducing real climactic variability. The second is interconnected scalable multi-cabinet for parallel experiments. The third is modular hardware able to reconfigure for different plant species, remaining cost-effective at <$10,000 AUD. The fourth is automated data collection and synchronisation of environmental and phenotypic measurements for Artificial Intelligence (AI) applications. Experimental validation confirmed precise climate control, broad crop compatibility, and high-throughput data generation. Environmental control stayed within ±2 °C for 97.42% while dynamically simulating Hobart, Australia, weather. The MCSGC provides an environment suitable for diverse crops (temperature 14.6–31.04 °C, and Photosynthetically Active Radiation (PAR) 0–1241 µmol·m⁻²·s⁻¹). Multi-species cultivation validated the adaptability of the MCSGC across Cannabis sativa (544.1 mm growth over 34 days), Beta vulgaris (123.6 mm growth over 36 days), and Lactuca sativa (19-day cultivation). Without manual intervention the system generated 456 images and 164,160 sensor readings, creating datasets optimised for AI and digital twin applications. The MCSGC addresses critical limitations of existing systems, supporting advancements in plant phenotyping, crop improvement, and climate resilience research. Full article

Background an Objectives: The Mediterranean sea urchins Paracentrotus lividus and Arbacia lixula co-occur on shallow rocky reefs but display contrasting ecological and physiological traits. We compared their gonadal metabolomes to identify species-specific metabolic strategies. Methods: High-resolution magic angle spinning nuclear magnetic resonance (HR-MAS NMR) spectroscopy to intact gonadal tissues, combining multivariate chemometric modelling with targeted integration, boxplot-based univariate analysis and pathway analysis. Results:A. lixula showed an osmolyte- and redox-oriented phenotype with elevated betaine, taurine, sarcosine, trimethylamine (TMA), trimethylamine N-oxide (TMAO), carnitine, creatine, malonate, methylmalonate, uridine and xanthine. In contrast, P. lividus exhibited an amino-acid-enriched anabolic profile dominated by lysine, glycine and glutamine, together with higher levels of formaldehyde, methanol and 3-carboxypropyl-trimethylammonium. Pathway analysis indicated that A. lixula metabolites mapped onto glycine/serine–threonine metabolism and the folate-linked one-carbon pool, whereas P. lividus metabolites were enriched in glyoxylate/dicarboxylate, nitrogen and amino-acid pathways. These contrasting osmolyte–C₁ versus nitrogen–amino-acid strategies are compatible with species-specific host–microbiota metabolic interactions inferred from published microbiome data. Conclusions: Overall, our results support a framework in which A. lixula adopts a resilience-oriented osmolyte strategy and P. lividus an efficiency-oriented anabolic strategy, highlighting HR-MAS NMR metabolomics as a powerful approach to investigate adaptive biochemical diversity in marine invertebrates. Full article

The escalating frequency and severity of drought events pose significant threats to agricultural productivity and food security. Drought stress not only restricts crop growth and yields but also destabilizes agricultural ecosystems. Over evolutionary timescales, plants have developed intricate adaptive strategies, encompassing drought escape (accelerated phenology), avoidance (water-conserving morphology) and tolerance (cellular protection), which involve complex biological mechanisms spanning molecular signaling, metabolic reprogramming and organ morphological remodeling. To mitigate drought risks, breeding drought-tolerant and water-efficient crops is imperative. Currently, drought resistance breeding is undergoing a paradigm shift, transitioning from traditional phenotypic selection toward genomics-assisted selection, molecular design and artificial intelligence (AI)-driven predictive modeling. This review provides a comprehensive analysis of drought stress response mechanisms in crops, integrating three key dimensions: physiological/biochemical adaptations, hormonal signaling networks and morphological/structural modifications. Furthermore, it critically evaluates recent advances in genetic improvement approaches for drought resistance, such as marker-assisted selection, transgenic technology and gene editing. It also explores the integration of multi-omics data and AI to enhance precision molecular breeding and overcome the inherent trade-off between drought resistance and yield potential. By synthesizing advancements in molecular breeding and smart agriculture, this work provides a roadmap for developing climate-resilient crops optimized through synergistic trait engineering and intelligent environmental sensing. Full article

Quinoa (Chenopodium quinoa Willd.) is an Andean pseudocereal of high nutritional value and remarkable phenotypic diversity, recognized as a strategic crop for food security under increasing climatic variability. In this study, the agromorphological diversity of 158 accessions cultivated in the Andean–Amazonian region of Peru was evaluated with the aim of identifying superior materials for conservation and breeding programs. The experiment was conducted using an augmented design that included three check cultivars (INIA 415 Pasankalla, INIA 420 Negra Collana, and Blanca Juli). Diversity in eleven qualitative traits was quantified using the Shannon–Weaver (H′) and Nei (He) indices, whereas twelve quantitative traits were analyzed through principal component analysis (PCA) and hierarchical clustering. The results revealed substantial intra- and inter-accession variability, with He values ranging from 0.21 to 0.76 and H′ values from 0.40 to 1.79, reflecting marked differences in growth habit, panicle morphology, stem pigmentation, and tolerance to Peronospora variabilis and Epicauta spp. Multivariate analyses identified three contrasting groups and enabled the selection of outstanding accessions, including UNTRM-367-1149, UNTRM-367-1107, UNTRM-367-1078, UNTRM-367-1079, UNTRM-367-1081, UNTRM-367-1095, and UNTRM-367-1104, characterized by high yield potential, favorable reproductive architecture, early or intermediate maturity, and low downy mildew severity. These accessions represent promising genetic resources for developing quinoa varieties adapted to transitional Andean–Amazonian environments, contributing to improved crop productivity and resilience. Full article

Background/Objectives: The growing demand for functional foods and alternative therapeutic strategies has intensified the search for novel probiotic strains from underexplored ecosystems. This study aimed to isolate and phenotypically characterize lactic acid bacteria (LAB) from spontaneously fermented fruits found in the Legal Amazon (Ananas comosus, Humiria balsamifera, Manilkara zapota, and Platonia insignis) and to perform genome-based analysis of the most promising isolate to evaluate its probiotic potential. Methods: The isolates were identified by MALDI-TOF-MS and screened for tolerance to low pH, bile salts, lysozyme, growth at 39 °C, and antimicrobial activity against five enteric pathogens. The most promising isolate was evaluated by coaggregation and biofilm assays, in silico proteome and CAZyme analysis, bacteriocin cluster mining, and in vivo efficacy testing using Tenebrio molitor larvae. Results: Three isolates from H. balsamifera were identified as Lactiplantibacillus plantarum (M1, M2, M4) by MALDI-TOF-MS. These isolates exhibited high resilience to all tested physiological stressors. Antimicrobial activity was contact-dependent, with no inhibition by cell-free supernatants. M2 showed the strongest pathogen exclusion, moderate biofilm formation, and high coaggregation with S. enterica and E. faecalis. Genome analysis of M2 revealed a 3.40 Mb chromosome, absence of acquired resistance or virulence genes, two plantaricin gene clusters, and 93 CAZymes, including GT families linked to exopolysaccharides biosynthesis. SignalP predicted secretion signals in 10 CAZymes. M2 significantly improved larval survival against E. coli and S. enterica, especially under prophylactic treatment. Conclusions: L. plantarum M2 combines safety, stress tolerance, genomic features, and in vivo efficacy, positioning it as a promising probiotic candidate adapted to tropical niches. These findings highlight H. balsamifera as a reservoir of novel probiotic strains. Full article