Search Results (1,454)

Background/Objectives: Due to the numerical dominance of environmental and commensal strains, understanding antimicrobial resistance (AMR) transmission in Escherichia coli requires consideration of non-clinical as well as pathogenic isolates. In this cross-sectional study, associations between the genetic context of non-clinical E. coli and AMR carriage are examined in isolates sampled from different niches within a One Health continuum. Methods: Two hundred eighty-eight E. coli isolates collected in Alberta, Canada (2018–2019) from wastewater, well water, feces of broiler chickens and feedlot cattle, and retail beef and chicken meat were selected from existing surveillance collections using a stratified random sampling structure. Using short-read whole genome assemblies, phylogenetic relationships were inferred from pan-genome multiple sequence alignments. Principal coordinate analysis and permutational analysis of variance (PERMANOVA) of a Jaccard dissimilarity matrix derived from gene presence/absence data were used to investigate contributions of source and AMR strata to observe genetic dissimilarity. Population clustering and gene under- or over-representation by source and cluster were also explored. Results: Minimal phylogenetic segregation of isolates was noted based on source or AMR strata, and both contributed significant but small proportions of observed genetic dissimilarity, with the largest proportion attributed to phylogroup. There was notable diversity of E. coli within and between sources; however, in some larger clusters, differential gene presence/absence was potentially linked to ecological niche rather than source of isolation. Conclusions: This study highlights the ecological complexity of AMR in E. coli in non-clinical contexts, offering a novel lens on how niche-specific factors can influence population structure and AMR carriage. It also provides insight into apparent discrepancies in the literature regarding clustering of E. coli by source. These findings support a more integrative One Health approach to AMR surveillance, emphasizing the need to account for microbial diversity and niche-specific adaptation across interconnected systems. Full article

Understanding the feeding mechanisms and interspecific coexistence of sharks is crucial for effective conservation. This study conducted stable isotope analysis on muscle and liver samples from 449 individuals of eight common bycatch shark species collected via bottom trawling in the northern South China Sea (NSCS). Results revealed significant differences in δ¹³C and δ¹⁵N values among species and tissue types. Scoliodon laticaudus exhibited the highest trophic position (TP_muscle = 4.60 ± 0.33; TP_liver = 4.53 ± 0.29), while Apristurus platyrhynchus had the lowest (TP_muscle = 2.97 ± 0.44; TP_liver = 2.75 ± 0.53). Muscle and liver isotopic signals were consistent, but δ¹³C differences indicated distinct carbon sources, with Carcharhinus sorrah linked to deep-sea organic matter and S. laticaudus to coastal inputs. Significant correlations between δ¹³C/δ¹⁵N and body length in A. platyrhynchus and Cephaloscyllium fasciatum suggest ontogenetic shifts in diet and habitat toward deeper waters. Trophic niche analysis using corrected standard ellipse area (SEAc) showed Halaelurus burgeri with the widest trophic niche (SEAc > 1.7‰²), reflecting a broad diet, while C. fasciatum had the narrowest (SEAc < 0.3‰²), indicating specialized feeding. Additionally, H. burgeri and C. sarawakensis exhibited significant niche differentiation, reducing interspecific competition, whereas C. fasciatum and Squalus megalops showed high niche overlap, suggesting intense resource competition. The narrower liver niche of C. sarawakensis may reflect recent habitat constriction due to bottom trawling. This study elucidates the feeding ecology and habitat resource utilization of NSCS sharks, providing a scientific basis for effective conservation strategies for shark populations in the region. Full article

Animal welfare education requires pedagogical models that bridge conceptual knowledge with practice. This study presents GamifyWELL, a biomimetic, gamified learning environment for students, farmers, and veterinary technicians. Grounded in ecological principles of adaptation, diversification, and niche specialization, the design emulates how living systems evolve through feedback and cooperation. These principles were translated into an instructional model that integrates a core pathway (Pre-Test, Levels 1–4, Post-Test) with optional enrichment tasks and a role-specific Reward Marketplace. Question formats are constant across levels (MCQ, image-based, video-based) while cognitive difficulty increases, culminating in Positive Welfare scenarios. We describe the learning design structure and report preliminary implementation observations using a mixed-methods evaluation plan (pre/post knowledge assessments and engagement indicators). Results from early deployment indicate strong usability and engagement, with high voluntary uptake of enrichment tasks and positive learner feedback on role-tailored rewards; full empirical testing is in progress. Findings support the feasibility and pedagogical promise of biomimetic gamification to enhance knowledge, motivation, and intended practice in animal welfare education. GamifyWELL offers a replicable framework for nature-inspired instructional design that can be extended to allied sustainability domains. Full article

Amid mounting calls for socio-ecological transition, many social sciences studies have been exploring the processes of societal change. The well-known Science Technology Society studies (STS) approach focuses on the diffusion of innovation niches as an open-ended process ultimately leading to the stabilization of a new regime. Other works have suggested reversing the perspective, i.e., ‘thinking about transitions from the end’. This is a defining characteristic of system building perspectives, which are inherently goal- and sustainability-oriented. This paper presents the state of the art in the social sciences based on a review of international academic journals in English. We use both quantitative and qualitative approaches. Using Web of Science data collected for a period of ten years and the free software IRaMuTeQ (version 2), we have conducted statistical, similarity, and textual analyses of a corpus of 151 texts, following the PRISMA methodology. We discuss the findings of the lexicometric analysis by looking at the content of the article abstracts. While system building is not always mentioned as such, this new perspective is reflected in the literature, especially in research on the energy and food transition, in two main ways: (i) the procedural and substantive dimensions of sustainability transition are both taken into account; (ii) the issue of governance occupies a central place—involving the definition of appropriate instrument mixes and policy mixes—given the need to deal with stakeholders with diverging interests and values rather than only focusing on technological innovations. Full article

The rising global demand for renewable energy and the urgency of mitigating climate change have positioned biofuels, particularly sugarcane ethanol, at the forefront of sustainability and conservation debates. Although promoted as a renewable alternative, sugarcane cultivation can cause habitat loss, biodiversity decline, soil degradation, and water contamination. This study presents a bibliometric assessment of 217 publications addressing the biodiversity impacts of sugarcane production, based on searches in the Web of Science Core Collection for papers published between 1998 and 2023. Using the bibliometrix package in R, we identified key publication trends, collaboration networks, and thematic structures. Between 1998 and 2006, no studies were returned by our searches, after which research activity increased substantially, peaking in 2021. Brazil, the world’s largest sugarcane producer, was the most frequent contributor to scientific output, while other major sugarcane producers, such as Thailand and India, showed limited engagement. Thematic mapping of the studies returned by our searches revealed three clusters: (1) cross-cutting themes linking sugarcane, biodiversity, and sustainability; (2) niche themes on pest and soil dynamics; and (3) emerging themes on the ecological role of bats in sugarcane landscapes. Overall, the findings highlight the growing academic engagement in reconciling bioenergy development with biodiversity conservation. Full article

The soil microbiome is an essential component of agroecosystems. However, managing it remains a challenge due to our limited knowledge of how various environmental factors interact and shape its spatial distribution. This study presents a hierarchical ecological model to explain the assembly of the microbiome in sloping agricultural landscapes. Through a comprehensive analysis of bacterial and fungal communities, as well as the examination of metabolic and phytopathogenic profiles across a topographic gradient, we have demonstrated that topography acts as the main filter, structuring bacterial communities. Land use, on the other hand, serves as a secondary filter, refining fungal functional guilds. Our results suggest that hydrological conditions in floodplains favor the growth of stress-tolerant bacterial communities with low diversity, dominated by Actinomycetota. Fungal communities, on the other hand, are directly influenced by land use. Long-term fallow periods lead to an enrichment of arbuscular mycorrhiza, while agroecosystems shift towards pathogenic and saprotrophic niches. Furthermore, we identify specific topographic positions that may be hotspots for phytopathogenic pressure. These hotspots are linked to certain taxa, such as Ustilaginaceae and Didymellaceae, which may pose a threat to plant health. The derived hierarchical model provides a scientific foundation for topography-aware precision agriculture. It promotes stratified management, prioritizing erosion control and soil restoration on slopes, customizing nutrient inputs in fertile floodplains, and implementing targeted phytosanitary monitoring in identified risk areas. Our research thus offers a practical framework for harnessing soil spatial variability to improve soil health and proactively manage disease risks in agricultural systems. Full article

This study investigates the distribution patterns, interspecific relationships, and community stability mechanisms of phytoplankton functional groups, aiming to elucidate the ecological processes that drive phytoplankton communities in aquatic ecosystems of arid regions. We conducted seasonal sampling from 2023 to 2024 at four auxiliary reservoirs in the Tarim River Basin, namely Shangyou Reservoir (SY), Shengli Reservoir (SL), Duolang Reservoir (DL), and Xinjingzi Reservoir (XJZ). In recent years, researchers have grouped phytoplankton into functional groups based on their shared morphological, physiological, and ecological characteristics—with these three types of traits serving as the core criteria for distinguishing different functional groups. A total of 18 functional groups were identified from the phytoplankton collected across four seasons, among which eight (A, D, H1, L0, M, MP, P, and S1) are dominant. Redundancy Analysis (RDA) indicated that environmental factors such as pH, electrical conductivity (COND), and dissolved oxygen (DO) are key driving factors affecting phytoplankton functional groups. Interspecific association analysis showed that the phytoplankton communities in DL, SL, and XJZ reservoirs were dominated by positive associations, reflecting stable community structures that are less prone to drastic fluctuations under stable environmental conditions. In contrast, the SY Reservoir was dominated by negative associations, indicating that it is in the early stage of succession with an unstable community. This may be related to intense human disturbance to the reservoir and its role in replenishing the Tarim River, which leads to significant water level fluctuations. The results of the Chi-square test and Pearson correlation analysis showed consistent trends but also differences: constrained by the requirement for continuous normal distribution, Pearson correlation analysis identified more pairs of negative associations, reflecting its limitations in analysing clumped-distributed species. Random forest models further indicated that functional groups M, MP, L0, and S1 are the main positive drivers of interspecific relationships. Among them, the increase in S1 can promote the growth of functional groups dominated by Navicula sp. and Chroococcus sp. by reducing resource competition. Conversely, the expansion of functional group H1 inhibits other groups, which is related to its adaptive strategy of resisting photo-oxidation in eutrophic environments. This study reveals the patterns of interspecific interactions and stability mechanisms of phytoplankton functional groups in arid-region reservoirs, providing a scientific basis for the management and conservation of aquatic ecosystems in similar extreme environments. Full article

Round scad (Decapterus maruadsi) and jack mackerel (Trachurus japonicus) are economically significant pelagic species widely distributed in the northern South China Sea (SCS), with overlapping habitats and life history stages. To examine the distribution patterns of round scad and jack mackerel and their responses to environmental variables, we conducted a preliminary analysis using catch and environmental data from four seasonal surveys around Hainan Island. Three species distribution models—generalized linear models (GLM), generalized additive models (GAM), and random forests (RF)—were applied to quantify species–environment relationships. Explanatory variables included both biotic and abiotic factors: temperature, salinity, water depth, sea surface chlorophyll a concentration (SSC), phytoplankton abundance, and zooplankton abundance. The results revealed pronounced spatial heterogeneity in the high-density areas of both species. Among the models, GAM consistently explained a higher proportion of deviance in the observed distributions. Further analysis showed that round scad and jack mackerel responded differently to environmental gradients such as water depth and temperature, although their responses to varying plankton concentrations were largely consistent. Specifically, round scad are typically found in waters at depths ranging from 0 to 50 m, whereas jack mackerel tend to inhabit depths exceeding 100 m. In response to high plankton abundance, both species exhibit a notable increase in resource availability when plankton levels surpass 3. These findings indicate distinct spatial niches and suggest potential competition in feeding ecology between the two species. Overall, the study enhances understanding of the spatial dynamics of key commercial species in the northern SCS and provides valuable insights for sustainable fisheries management and conservation planning. Full article

Understanding species distribution and environmental niches is crucial for conserving endangered taxa. The recent taxonomic split of the European freshwater mussels U. crassus and U. nanus into distinct species requires a reassessment of their distinct ecologies for conservation. This study uses species distribution models (SDMs) to define and compare the environmental niches and reconstruct the distributions across six past time periods, starting from the mid-Pliocene Warm Period (mPWP, ca. 3.205 Ma) to the present. Our results reveal significant environmental niche differentiation between the two species, with U. crassus occupying a broader environmental niche primarily influenced by annual mean temperature and precipitation in the warmest quarter. In contrast, U. nanus shows a narrower niche shaped by temperature seasonality, mean diurnal range, annual mean temperature, and precipitation seasonality. Paleodistribution models indicate that during the Last Glacial Maximum (LGM, ca. 21 ka), U. crassus persisted in multiple southern refugia, whereas U. nanus was restricted to a single western refugium. These contrasting glacial histories led to divergent post-glacial colonization routes, explaining their current genetic patterns and partially overlapping ranges. By identifying present environmental hotspots, this research provides an essential framework for developing targeted, species-specific conservation strategies for these freshwater mussels. Full article

The Lactobacillaceae family encompasses microorganisms of exceptional ecological and biotechnological importance, serving as central agents in food fermentations, health applications, and nutrient cycling across diverse environments. Despite their broad functional and phylogenetic diversity, the global distribution and ecological specialization of Lactobacillaceae are not yet fully understood. In this study, we performed a comprehensive analysis of over 2 million records from the NCBI database to survey and trace the ecological landscape of Lactobacillaceae across thousands of distinct habitats. Our results reveal that food products and animal hosts represent the primary ecological niches for members of this family. The examined taxa exhibit a broad spectrum of ecological strategies, ranging from generalists with wide environmental adaptability to specialists with strict niche preferences. Notably, our findings highlight a profound geographical and ecological sampling bias, with unclassified taxids frequent in animal gastrointestinal tracts, soils, and especially in living plant tissues—habitats identified as promising frontiers for discovering novel biodiversity. The obtained results emphasize the urgent need for expanded sampling efforts in underexplored geographic regions such as Africa, Antarctica, the Arctic, South America, and Central Asia to capture a more complete picture of Lactobacillaceae diversity. The study underscores the necessity of implementing standardized, metadata-rich data deposition practices to enable unbiased, large-scale ecological and evolutionary analyses. Ultimately, these insights not only deepen our fundamental knowledge of Lactobacillaceae diversity but also provide a strategic framework for future bioprospecting, fostering the discovery of novel strains and expanding the biotechnological potential of this influential bacterial family. Full article

Due to global warming and intensified anthropogenic impacts, mountainous areas are increasingly being colonised by alien plant species. The diversity patterns of these species have not been sufficiently studied in the Central Balkans. The aims of this study were to determine the occurrence and richness of alien plant species in relation to habitat type and geological substrates, and to identify the factors with the greatest influence on the composition and abundance of these species on Zlatibor Mountain (Central Balkans). This area is known as an important tourist centre and a large mountainous massif in Serbia. Principal Component Analysis (PCA) and distance-based Redundancy Analysis (db-RDA) were employed to examine the influence of environmental factors on the abundance and composition of 18 alien plant taxa. Data on altitude, habitat type, bedrock type, bioclimatic variables, and indicator values (light regime, soil moisture, acidity, nitrogen and temperature) of dominant plant species within the habitats were used as explanatory variables. Erigeron annuus, Reynoutria × bohemica, Robinia pseudoacacia, and Erigeron canadensis were the most common alien taxa and had the highest abundances. Residential and tourist facilities and the peripheries of asphalt roads are the habitat types where most alien species occur, while the lowest number of species was found in natural and semi-natural herbaceous habitats. Most taxa were found on serpentine substrates, while the number of taxa was lower on siliceous and carbonate substrates. This study emphasises the predominant role of habitat type in the partitioning of ecological niches of alien plant species. Furthermore, habitat type has a much greater influence on species composition and abundance than climatic factors and bedrock type, suggesting that the diversity pattern of alien plant species is related to the type and intensity of anthropogenic influences. Our results provide a useful basis for developing effective strategies to protect native habitats from invasion by alien plants. Full article

This study investigated the effects of dietary supplementation with composite acidifying agents containing 2-hydroxy-4-methylthiobutyric acid (≥30.0%), lactic acid (≥24.2%), and phosphoric acid (≥23.8%) on production performance, egg quality, serum biochemistry, intestinal health, and cecal microbiota in 300-day-old BIAN chickens. In a 42-day randomized trial, 900 laying hens were randomly allocated to three groups: the control group (basal diet with tap water), test group A (basal diet with 0.05% composite acidifier in drinking water), and test group B (basal diet with 0.20% composite acidifier in drinking water). The results demonstrated that test group B exhibited a significant 4.6% increase in average egg weight compared to the control (p = 0.029), while test group A showed enhanced Haugh unit values (p = 0.010) and eggshell strength (p = 0.010). Serum biochemical analysis revealed marked improvements in immune function, with test group B showing a 65.49% increase in globulin levels (p = 0.010) and 61.76% elevation in total antioxidant capacity (T-AOC) (p = 0.010). Intestinal digestive enzyme activities were significantly enhanced, particularly in test group A with a 61.73% increase in duodenal lipase activity (p = 0.010) and 37.43% elevation in jejunal amylase activity (p = 0.036). Morphological assessment demonstrated improved intestinal architecture in test group B, with a 26.02% reduction in crypt depth (p = 0.025) and a 44.53% increase in the villus-to-crypt ratio (p = 0.030). Microbiota analysis revealed dose-dependent modulation of cecal bacterial communities, with notable increases in beneficial genera including Akkermansia (from 1.8% to 7.2% in test group A) and Lachnospiraceae (from 4.7% to 9.7% in test group B) while maintaining core microbiota stability. Principal component analysis confirmed distinct microbial ecological niches created by acidifier supplementation. These findings demonstrate that composite acidifying agents effectively enhance egg production quality, immune status, digestive function, and gut health in BIAN chickens, supporting their potential as sustainable alternatives to antibiotic growth promoters in laying hen production systems. Full article

Archaea, one of the three domains of life, are increasingly recognized as consistent, though often underappreciated, members of the human microbiome, yet their roles in health and disease remain poorly understood. Unlike bacteria, no archaeal species have been conclusively identified as primary mammalian pathogens, but their widespread presence across diverse body sites suggests potential indirect contributions to host physiology and pathology. Current evidence is synthesized on archaeal diversity and habitat specificity across multiple human-associated sites, encompassing the gastrointestinal, aerodigestive, and urogenital tracts as well as the skin. Methanogens dominate the lower gastrointestinal tract (LGT), where they influence fermentation dynamics and methane production, while members of the class Nitrososphaeria are prevalent on the skin and upper aerodigestive tract (UAT), reflecting ecological specialization. Variability in archaeal composition across niches highlights possible links to disease processes: methanogens have been associated with irritable bowel syndrome (IBS), inflammatory bowel disease (IBD), obesity, and colorectal cancer (CRC); Methanobrevibacter oralis is enriched in periodontal disease; and archaea have been detected in the lungs of cystic fibrosis patients. Although archaea lack canonical bacterial virulence factors, they may contribute indirectly through metabolic cross-feeding, immune modulation, synergy in polymicrobial infections, and alteration of host–microbiome network dynamics. This review explores the emerging concept of the human “archaeome”, evaluates current evidence for archaeal involvement in disease, and highlights emerging technologies, such as bacteria-MERFISH and multi-omics profiling, that enable translational applications including microbiome diagnostics, therapeutic targeting, and microbiome engineering. Full article

This study offers a comprehensive analysis of the performance and systemic dynamics of green finance investments in environmentally sustainable technologies from 2000 to 2025, complemented by scenario-based projections extending to 2050. Empirical results indicate a consistent increase in portfolio returns—from 5.2% in 2000 to 11.8% in 2025—accompanied by a significant reduction in annualized volatility, declining from 8.1% to 3.0%. Concurrently, the portfolio’s sustainability score improved from 0.45 to a full alignment score of 1.00, reflecting a strategic shift towards high-impact green assets. Building on these observed trends, this study introduces the Eco-Financial Resonance Theory (EFRT), an original conceptual framework that interprets sustainable transitions as emergent phenomena arising from resonant interactions among four interdependent domains: financial flows, technological innovation, policy and regulation, and environmental outcomes. Scenario analyses highlight the pivotal roles of policy ambition and innovation pathways in shaping long-term risk-return profiles, with optimistic forecasts projecting returns exceeding 40% by 2050, alongside markedly reduced risks. Regional analysis reveals persistent disparities, underscoring the necessity for context-specific strategies to enhance systemic coherence. Beyond its theoretical contributions, EFRT offers actionable insights for investors and policymakers aiming to align profitability with ecological sustainability. Collectively, these findings position green finance not merely as a niche or ancillary activity but as a transformative mechanism for enabling scalable and resilient sustainability transitions amid accelerating global environmental challenges. Full article

Sant’Agostino green table olives, traditionally processed in Apulia and flavoured with Foeniculum vulgare, represent a niche product whose microbial ecology remains largely unexplored. This study aimed to characterise the microbiota of the final product (both brine and fruit) after six months of storage with wild fennel. Four production batches were analysed using a combined culture-dependent and culture-independent approach. Microbiological counts revealed variable levels of aerobic mesophilic microorganisms, yeasts, lactic acid bacteria (LAB), and staphylococci, with yeasts and LAB being predominant. Ten LAB strains were identified, including Enterococcus faecium, Leuconostoc mesenteroides subsp. jonggajibkimchii, Leuconostoc mesenteroides subsp. cremoris, Leuconostoc pseudomesenteroides, Lactiplantibacillus plantarum, and Lactiplantibacillus pentosus. Yeast isolates belonged to Candida tropicalis, Torulaspora delbrueckii, and Saccharomyces cerevisiae. Amplicon sequencing (MiSeq Illumina) revealed distinct bacterial profiles between fruit and brine samples, with taxa from Actinobacteria, Bacteroidetes, Enterococcus, Lactobacillus, Leuconostoc, Alphaproteobacteria, Enterobacteriaceae, and other Gammaproteobacteria. Enterococcus and Leuconostoc were consistently detected, while Lactobacillus sensu lato appeared only in one fruit and one brine sample. These findings provide new insights into the microbial diversity of Sant’Agostino olives and contribute to the understanding of their fermentation ecology and potential for quality and safety enhancement. Full article