Landscape Variables Research Articles

The evolution of urban ecological resilience: An evaluation framework based on vulnerability, sensitivity and self-organization

Ecological resilience assessment has become a key link in urban sustainable governance. This study introduces a new evaluation framework to inform policy-making and practical applications. Based on the structural and functional dimensions of landscape patterns, it integrates the vulnerability, sensitivity and self-organization of resilience to point to desirable directions of ecological resilience. A composite ecological resilience index is compiled based on six indices of landscape diversity, landscape disturbance, source-sink patch distance, habitat quality, minimum cumulative resistance, and landscape restoration. The framework is particularly applicable to cities located in ecologically sensitive areas. Hence, Nanchang City, China was selected as a case study. Using 1km2 hexagonal grids, the framework is applied to map spatiotemporal changes and to analyze various natural and anthropogenic driving forces of ecological resilience in Nanchang from 2000 to 2020. Research findings confirm the feasibility and value of the urban ecological resilience analysis framework. They also highlight the advantages of the framework in revealing spatially dynamic processes and ecological resilience contributing factors, making it a valuable and practical tool for sustainable urban planning and refined management decision-making.

Plant Protein Resources, Novel Extraction and Precipitation Methods: A Review

ABSTRACTThis comprehensive review explores the diverse landscape of plant protein resources, focusing on novel extraction and precipitation methods that contribute to the advancement of sustainable and efficient protein production. The increasing global demand for plant‐based proteins as a key component of balanced diets has spurred research into optimizing extraction processes from various plant sources. The review encompasses a wide range of plant protein resources, including legumes, cereals, oilseeds, and other plant‐based alternatives. Special emphasis is given to innovative techniques in protein extraction, such as enzyme‐assisted extraction, aqueous extraction, and emerging technologies like ultrasound and microwave‐assisted methods. Additionally, the review investigates novel precipitation methods employed to isolate and purify plant proteins, shedding light on techniques like isoelectric precipitation, salting‐out, and membrane filtration. The integration of sustainable practices in protein extraction, coupled with a focus on minimizing environmental impact, is a central theme throughout the review. By synthesizing current research findings, this review aims to provide a comprehensive overview of the state‐of‐the‐art in plant protein extraction and precipitation methods, offering valuable insights for researchers, industry professionals, and policymakers involved in the rapidly evolving field of plant‐based protein production.

Predicting unsaturated soil strength of coarse-grained soils for mobility assessments

Accurately estimating surficial soil moisture and strength is integral to determining vehicle mobility and is especially important over large spatial extents at fine resolutions. While methods exist to estimate soil strength across landscapes, they are empirical and rely on class average soil behavior. The Strength of Surficial Soils (STRESS) model was developed to estimate moisture-variable soil strength with a physics-based approach. However, there is a lack of field data from a diverse landscape to evaluate the STRESS model. To test the STRESS model, a field study was conducted in northern Colorado. Soil moisture and strength were measured on 10 dates. Data from the surficial layer (0–5 cm) were used to test the STRESS model and determine if soil strength trends could be estimated from topographical and soil textural differences. High variability was observed in soil strength measurements stemming from fine-scale terrain features and user variability. Observations show lower soil strengths for greater soil moistures, steeper slopes, higher vegetation, and lower soil fines content. STRESS estimated rating cone index values with a mean relative error of 37.5 %, while a pre-existing model had a mean relative error of 47.4 %. The STRESS model outperforms the current RCI prediction method, but uncertainty remains large.

ENTROPY BASED EVALUATION OF THE IMPACT OF EDUCATION ON ECONOMIC DEVELOPMENT

In contemporary economic landscapes, effective managerial decision-making requires serious justifications often facilitated by information technologies. The article proposes the application of the foundational principles from information theory and entropy to determine the correlation between education and economic development. This research employs entropy methodology to explore the correlations and implications of these multifaceted domains, drawing insights from a range of global indices. By analyzing data from indices such as the Human Development Index, we investigate the relationship between average years of education and entropy values, shedding light on the diversity and standardization of human capital systems across nations. Moreover, economic indexes, encapsulating factors such as economic freedom and innovation, provide critical insights into the vibrancy and resilience of national economies. Through the lens of the Global Innovation Index, we explore how countries with higher levels of economic freedom and innovation efficiency exhibit less diversity in economic approaches and innovation strategies, leading to a reduction in entropy values. By examining entropy values in conjunction with innovation indicators, such as research and development expenditure and patent applications, we uncover patterns and trends indicative of the diversity or standardization of innovation strategies across countries. Additionally, cybersecurity emerges as a critical dimension of national security and resilience, with implications for economic well-being and societal trust. Through the National Cybersecurity Index, we assess the level of diversity and uncertainty in cybersecurity landscapes, highlighting the importance of robust cybersecurity measures in safeguarding against emerging threats and reducing entropy values. Ultimately, this research contributes to the discourse on sustainable development and resilience in an interconnected world. By identifying specific challenges and opportunities within education, economy, innovation, and cybersecurity domains, it facilitates informed decision-making and strategic interventions to promote inclusive growth and societal well-being on a global scale.

Strategic Management Practices in Multinational Corporations: A Comparative Study

This paper explores strategic management practices within multinational corporations (MNCs) through a comparative study of different regional and industrial contexts. The research aims to identify key strategies that drive success and sustainability in a globalized business environment. Utilizing a mixed-method approach, the study combines quantitative analysis of financial performance metrics with qualitative insights from interviews with senior executives. The findings highlight the significance of adaptive strategies, cultural intelligence, and robust risk management frameworks. Additionally, the study uncovers regional variations in strategic priorities, emphasizing the need for MNCs to tailor their approaches to local market conditions. The paper concludes with recommendations for practitioners to enhance strategic alignment and operational effectiveness across diverse geographical landscapes.

The role and regulation of integrins in cell migration and invasion.

Integrin receptors are the main molecular link between cells and the extracellular matrix (ECM) as well as mediating cell-cell interactions. Integrin-ECM binding triggers the formation of heterogeneous multi-protein assemblies termed integrin adhesion complexes (IACs) that enable integrins to transform extracellular cues into intracellular signals that affect many cellular processes, especially cell motility. Cell migration is essential for diverse physiological and pathological processes and is dysregulated in cancer to favour cell invasion and metastasis. Here, we discuss recent findings on the role of integrins in cell migration with a focus on cancer cell dissemination. We review how integrins regulate the spatial distribution and dynamics of different IACs, covering classical focal adhesions, emerging adhesion types and adhesion regulation. We discuss the diverse roles integrins have during cancer progression from cell migration across varied ECM landscapes to breaching barriers such as the basement membrane, and eventual colonization of distant organs.

POSSIBILITIES OF CREATING TOURIST AND RECREATIONAL COMPLEXES BASED ON THE LANDSCAPE CONDITIONS OF THE MOUNTAINOUS DISTRICTS OF THE ALMATY REGION, KAZAKHSTAN

The Almaty region, which is rich in natural landscapes, was established again in 2022. In this regard, the importance of regional spatial planning is taking on new forms. Considering the unique landscape potential, this project aims to create a framework for developing tourist and recreational complexes in the Uygur, Kegen, and Raiymbek regions. Creating a landscape diversity database to classify recreational resources; developing a typology for tourist and recreational complexes, considering the landscape's features and the tourism specializations. The research methods used in this study include field observations and landscape descriptions provided by the authors. A classification method has been developed to divide recreational resources into groups and sub-groups, determining their locations. The process of the developed typology is based on examples of specific types of tourist and recreational activities, as well as existing and potential tourist areas in the Almaty region and the Republic of Kazakhstan. The theoretical and methodological basis for the proposed classification and typology is based on the work of various authors and materials from the National Science Foundation of Kazakhstan. Issues of the possibilities of agricultural enterprises to provide tourists with local, natural food products have been analy zed. Based on these factors, recommendations were formulated for further developing promising tourist and recreational complexes in these areas. All authors have read and agreed to the published version of the manuscript.

Hemp regulates the fitness of corn earworm (Lepidoptera, Noctuidae) and its tachinid (Diptera) parasitoids.

Pest management on hemp is still in its infancy, and biological control options are limited. Helicoverpa zea (corn earworm) is one of the key pests of hemp cultivated outdoors, especially on cultivars grown for cannabinoids and grain. In a three-year study, we assessed the effect of diet on the performance of H. zea and its tachinid parasitoids. Parasitized (bearing fly eggs) and unparasitized (without eggs) H. zea larvae were fed on hemp flowers or an artificial diet. Five tachinid species parasitized H. zea larvae, but the most abundant species were Winthemia rufopicta (68.8%) and Lespesia aletiae (28.3%). Overall, 55.2% of H. zea larvae bearing tachinid eggs died, while the mortality of unparasitized larvae reached 24.7%. The success of tachinids increased by 2-fold when the host larvae were fed on an artificial diet. Our results demonstrated that high protein food (artificial diet), intensity of parasitism, and caterpillar size play a role in the fitness of both the herbivores (H. zea) and its tachinid parasitoids. These findings have important implications for understanding biological control mechanisms and open new insights into the impact of landscape variation on plant-herbivore-parasitoid interactions. This study contains supporting evidence that makes both Winthemia rufopicta and Lespesia aletiae excellent candidates for biological control programs against H. zea, a key pest of hemp in the United States.

A Collagen Triple Helix without the Super Helical Twist.

Collagens are ubiquitous in biology functioning as the backbone of the extracellular matrix, forming the primary structural components of key immune system complexes, and fulfilling numerous other structural roles in a variety of systems. Despite this, there is limited understanding of how triple helices, the basic collagen structural units, pack into collagenous assemblies. Here we use a peptide self-assembly system to design collagenous assemblies based on the C1q collagen-like region. Using cryo-EM we solve a structure of one assembly to 3.5 Å resolution and build an atomic model. From this, we identify a triple helix conformation with no superhelical twist, starkly in contrast to the canonical right-handed triple helix. This non-twisting region allows for unique hydroxyproline stacking between adjacent triple helices and also results in the formation of an exposed cavity with rings of hydrophobic amino acids packed symmetrically. We find no precedent for such an arrangement of collagen triple helices and have designed mutant assemblies to probe key stabilizing amino acid interactions in the complex. The mutations behave as predicted by our atomic model. Our findings, combined with the extremely limited experimental structural data on triple helix packing in the literature, suggest that collagen and collagen-like assemblies may adopt a far more varied conformational landscape than previously appreciated. We hypothesize that this is particularly likely adjacent to the termini of these helices and at discontinuities to the required Xaa-Yaa-Gly repeating primary sequence; a discontinuity found in the majority of this class of proteins and in many collagen-associated diseases.

Analysis of a global wheat panel reveals a highly diverse introgression landscape and provides evidence for inter-homoeologue chromosomal recombination

Key messageThis study highlights the agronomic potential of rare introgressions, as demonstrated by a major QTL for powdery mildew resistance on chromosome 7D. It further shows evidence for inter-homoeologue recombination in wheat.Agriculturally important genes are often introgressed into crops from closely related donor species or landraces. The gene pool of hexaploid bread wheat (Triticum aestivum) is known to contain numerous such “alien” introgressions. Recently established high-quality reference genome sequences allow prediction of the size, frequency and identity of introgressed chromosome regions. Here, we characterise chromosomal introgressions in bread wheat using exome capture data from the WHEALBI collection. We identified 24,981 putative introgression segments of at least 2 Mb across 434 wheat accessions. Detailed study of the most frequent introgressions identified T. timopheevii or its close relatives as a frequent donor species. Importantly, 118 introgressions of at least 10 Mb were exclusive to single wheat accessions, revealing that large populations need to be studied to assess the total diversity of the wheat pangenome. In one case, a 14 Mb introgression in chromosome 7D, exclusive to cultivar Pamukale, was shown by QTL mapping to harbour a recessive powdery mildew resistance gene. We identified multiple events where distal chromosomal segments of one subgenome were duplicated in the genome and replaced the homoeologous segment in another subgenome. We propose that these examples are the results of inter-homoeologue recombination. Our study produced an extensive catalogue of the wheat introgression landscape, providing a resource for wheat breeding. Of note, the finding that the wheat gene pool contains numerous rare, but potentially important introgressions and chromosomal rearrangements has implications for future breeding.

Simulation modelling demonstrates differential performance of connectivity methods in their ability to predict genetic diversity in complex landscapes

ContextThere have been few evaluations of how well different connectivity modelling methods are able to predict the spatial genetic structure and genetic diversity of populations residing in complex landscapes. Given the wide application of connectivity modelling tools in applied conservation planning, it is crucial to broadly evaluate how these models perform across resistance, movement, and population structure conditions in predicting genetic diversity patterns. Such evaluations are critical to provide rigorous, biologically based guidance for conservation and management applications. ObjectivesOur goal was to investigate how the predictions of three connectivity models were related to spatial patterns of genetic diversity complex landscapes, considering factors such as population structure, resistance, genetic drift, genetic disequilibrium, and organism movement abilities. MethodsWe evaluated the performance of several connectivity methods across seven a priori landscape resistance surfaces to provide a broad assessment of their performance. We used CDPOP, an individual-based, spatially explicit population and genetic simulation model, to simulate genetic diversity across these resistance surfaces. This provided a pool of genetic diversity patterns that were the response factor in our simulation experiment. We then simulated landscape connectivity with several popular connectivity methods, including resistant kernels, Circuitscape, and Pathwalker, and evaluated how well they were able to predict spatial patterns of genetic diversity. ResultsResistant kernel outperformed other connectivity methods in predicting landscape patterns of genetic diversity. The strongest relationships occurred when the population process has created spatial structure but has not yet led to significant genetic diversity loss due to drift. The time lag disequilibrium was relatively short. Long simulation times resulted in severe reduction in prediction ability due to drift. ConclusionsResistant kernel predictions were much more strongly related to spatial patterns of genetic diversity than were predictions produced by Circuitscape and Pathwalker, across a large combination of population structures. Strong relationships exist between functional connectivity and genetic diversity, with clearer and stronger associations seen in spatial patterns of allelic richness compared to heterozygosity or spatial effective population size. Our results confirm the strong relationship between genetic diversity and population connectivity, and suggest that computationally efficient incidence function algorithms, such as resistant kernel methods, are well suited to predicting functional connectivity.

Duration of Cattle Ranching Affects Dung Beetle Diversity and Secondary Seed Removal in Tropical Dry Forest Landscapes.

Cattle ranching is an economic activity responsible for the loss of large extensions of tropical dry forest around the world. Several studies have demonstrated that the use of inadequate practices of this activity in tropical forests (e.g., fire, agrochemicals, and lack of rotational grazing systems of cattle in pastures) have negative consequences on dung beetle diversity and their ecological functions. In the present study, the influence of the cattle ranching duration gradient on the diversity of dung beetles and seed removal was evaluated. This study was carried out in pastures with different times of establishment of cattle ranching (between 4 and 40 years) in a tropical dry forest of Mexico. Overall, the species richness of dung beetles was similar along the gradient of grazing ages. However, the diversity of common (q1) and dominant (q2) species decreased and was associated with an increasing abundance of exotic species and a decreasing abundance of native species. Seed removal was mainly carried out by four beetle species, among which the exotic species Digitonthophagus gazella was the most important. The results establish that the duration of cattle ranching primarily influences the composition of dung beetle communities, as reflected in changes in the structure and function of their assemblages in the pastures. Although native dung beetles persist at low abundances along this gradient, the consequences of land use changes are undeniable in other similar ecosystems where these species could definitively disappear.

Beyond aromatherapy: can essential oil loaded nanocarriers revolutionize cancer treatment?

Cancer, a complex global health burden, necessitates the development of innovative therapeutic strategies. While chemotherapy remains the primary treatment approach, its severe side effects and chemoresistance drive the search for novel alternatives. Essential oils (EOs), consisting of diverse bioactive phytochemicals, offer promise as anticancer agents. However, their limitations, such as instability, limited bioavailability, and non-specific targeting, hinder their therapeutic potential. These challenges were circumvented by utilizing nanoparticles and nanosystems as efficient delivery platforms for EOs. This review highlights the accumulating evidence based on loading EOs into several nanocarriers, including polymeric nanoparticles, nanoemulsions, nanofibers, lipid-based nanocapsules and nanostructures, niosomes, and liposomes, as effective anticancer regimens. It covers extraction and chemical composition of EOs, their mechanisms of action, and targeting strategies to various tumors. Additionally, it delves into the diverse landscape of nanocarriers, including their advantages and considerations for cancer targeting and EO encapsulation. The effectiveness of EO-loaded nanocarriers in cancer targeting and treatment is examined, highlighting enhanced cellular uptake, controlled drug release, and improved therapeutic efficacy. Finally, the review addresses existing challenges and future perspectives, emphasizing the potential for clinical translation and personalized medicine approaches.

Advances in Cysteine Protease B Inhibitors for Leishmaniasis Treatment.

The expression and release of cysteine proteases by Leishmania spp. and their virulence factors significantly influence the modulation of host immune responses and metabolism, rendering cysteine proteases intriguing targets for drug development. This review article explores the substantial role of cysteine protease B (CPB) in medicinal chemistry from 2001 to 2024, particularly concerning combatting Leishmania parasites. We delve into contemporary advancements and potential prospects associated with targeting cysteine proteases for therapeutic interventions against leishmaniasis, emphasizing drug discovery in this context. Computational analysis using the pkCSM tool assessed the physicochemical properties of compounds, providing valuable insights into their molecular characteristics and drug-like potential, enriching our understanding of the pharmacological profiles, and aiding rational inhibitor design. Our investigation highlights that while nonpeptidic compounds constitute the majority (69.2%, 36 compounds) of the dataset, peptidomimetic- based derivatives (30.8%, 16 compounds) also hold promise in medicinal chemistry. Evaluating the most promising compounds based on dissociation constant (Ki) and half maximal inhibitory concentration (IC50) values revealed notable potency, with 41.7% and 80.0% of nonpeptidic compounds exhibiting values < 1 μM, respectively. On the other hand, all peptidic compounds evaluated for Ki (43.8%) and IC50 (31.3%) obtained values < 1 μM, respectively. Further analysis identified specific compounds within both categories (nonpeptidic: 1, 2, and 4; peptidic: 48-52) as particularly promising, warranting deeper investigation into their structure-activity relationships. These findings underscore the diverse landscape of inhibitors in medicinal chemistry and highlight the potential of both nonpeptidic and peptide-based compounds as valuable assets in therapeutic development against leishmaniasis.

Insect conservation in agricultural landscapes needs both high crop heterogeneity and semi-natural habitats

Identifying landscapes that are suitable for both biodiversity conservation and agricultural production is a major challenge. Traditionally, much research has focused on biodiversity conservation outside of agricultural production areas, e.g., in semi-natural habitats. In contrast, recent research has mainly focused on the potential of crop heterogeneity. This includes both compositional (crop diversity) and configurational heterogeneity (field border density). However, if and how crop heterogeneity, and semi-natural habitats interact to shape insect diversity in agricultural landscapes remains poorly understood. Here we investigated the combined effects of crop diversity, field border density, and semi-natural habitats (i.e., grassland proportion, hedge density) on insect diversity. We sampled insect communities from 14 – 17 June 2021 with pan traps in 27 study landscapes (500 m x 500 m) covering independent gradients of these landscape variables and identified a total of 587 insect species with DNA metabarcoding. We found that field border density mediated the effects of crop diversity, grassland proportion, and hedge density on insect richness. At low levels of field border density (i.e., landscapes with mostly large fields), effects were either neutral (crop diversity), negative (grassland proportion) or weakly positive (hedge density). By contrast, at high levels of field border density, crop diversity, grassland proportion, and hedge density all exerted positive effects on insect richness. Responses to crop heterogeneity and semi-natural habitat differed among trophic groups of insects (decomposers, herbivores, parasitoids, predators). While variation in richness of herbivorous insects followed the patterns of the overall richness, decomposer richness was not related to any of the investigated variables. Predator richness increased with hedge density in landscapes, whereas parasitoid richness increased when high levels of field border density and grassland proportion coincided. Our study shows that increasing crop heterogeneity is a viable strategy for promoting insect diversity in agricultural landscapes. However, the effects of the amount of remaining semi-natural habitats, such as grassland or hedges, are mediated by configurational heterogeneity, and vary between trophic groups. Efforts to conserve insects in agricultural landscapes must therefore focus on both increasing the heterogeneity of the crop matrix by promoting crop diversity and increasing the density of field borders, while also maintaining or restoring semi-natural habitats as important source habitats for insect species.

Multiple independent losses of crossover interference during yeast evolutionary history.

Meiotic recombination is essential for the accurate chromosome segregation and the generation of genetic diversity through crossover and gene conversion events. Although this process has been studied extensively in a few selected model species, understanding how its properties vary across species remains limited. For instance, the ancestral ZMM pathway that generates interference-dependent crossovers has undergone multiple losses throughout evolution, suggesting variations in the regulation of crossover formation. In this context, we first characterized the meiotic recombination landscape and properties of the Kluyveromyces lactis budding yeast. We then conducted a comprehensive analysis of 29,151 recombination events (19, 212 COs and 9, 939 NCOs) spanning 577 meioses in the five budding yeast species Saccharomyces cerevisiae, Saccharomyces paradoxus, Lachancea kluyveri, Lachancea waltii and K. lactis. Eventually, we found that the Saccharomyces yeasts displayed higher recombination rates compared to the non-Saccharomyces yeasts. In addition, bona fide crossover interference and associated crossover homeostasis were detected in the Saccharomyces species only, adding L. kluyveri and K. lactis to the list of budding yeast species that lost crossover interference. Finally, recombination hotspots, although highly conserved within the Saccharomyces yeasts are not conserved beyond the Saccharomyces genus. Overall, these results highlight great variability in the recombination landscape and properties through budding yeasts evolution.

Neglected Tropical Diseases in India: Enhancing POC based Diagnosis towards Elimination

Neglected tropical diseases (NTDs) represent a significant global health challenge, particularly in regions with limited access to healthcare and sanitation facilities. India, with its vast population and diverse landscape, faces a substantial burden of NTDs, including lymphatic filariasis (LF), visceral leishmaniasis (VL), and dengue along with other coinfections. The Government of India has undertaken various initiatives to eliminate these diseases, aligning with global objectives. However, challenges persist, including the need for accurate disease burden estimation, resource allocation, and disease diagnosis.Efforts to eliminate NTDs in India require comprehensive strategies, including mass drug administration and vector control programs. Thus, accurate and accessible diagnostic tools are essential for disease surveillance and treatment monitoring. Point-of-care testing including molecular and serological-based techniques facilitates swift diagnosis and disease surveillance, particularly in resource-limited settings. Thus, by prioritizing investments in innovative diagnostic and therapeutic strategies, India can make significant strides toward improving patient survival and decrease mortality rates.

Bibliometric analysis of microRNAs and Parkinson's disease from 2014 to 2023.

Parkinson's disease (PD) is a neurodegenerative disorder characterized by the degeneration of dopaminergic neurons. Recent research has emphasized a significant correlation between microRNAs (miRNAs) and PD. To identify key research areas, provide a comprehensive overview of current research in various fields, and propose potential directions for future studies, a bibliometric analysis was conducted on the involvement of miRNAs in Parkinson's disease from 2014 to 2023. Relevant literature records were collected from the Web of Science Core Collection on February 29, 2024. Subsequently, the data underwent analysis using the Bibliometrix R package and VOSviewer (version 1.6.19). The annual scientific publications on miRNAs and Parkinson's disease demonstrated an increasing trend, with an annual growth rate of 12.67%. China, the United States, and India emerged as the top three most productive countries/regions. The University of Barcelona had the highest annual publications, followed by Central South University and the Helmholtz Association. The INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES held the top position in terms of H-index and total citations, reflecting its extensive influence and prolific publication output. Kim, J., Junn, E., Hébert, S.S., and Doxakis, E. were the most frequently co-cited authors in the field. Based on the analysis of keywords, the most frequently occurring terms included "alpha-synuclein," "neurodegenerative disease," "exosome," "neuroinflammation," "oxidative stress," "autophagy," and "amyotrophic lateral sclerosis," which have emerged as prominent research topics. Concurrently, there has been notable interest in topics such as "ceRNA," "lncRNAs," "mitochondrial dysfunction," and "circular RNA." This study focused on identifying emerging trends and critical research topics in the bibliometric analysis of microRNAs related to Parkinson's disease. These findings highlight the diverse research landscape and evolving trend of miRNA-related research in PD. The field of miRNA research in Parkinson's disease is actively exploring the underlying mechanisms of miRNA function, identifying potential diagnostic markers, and developing innovative therapeutic strategies. The results of our study offer significant contributions to researchers' ability to track contemporary developments and guide the trajectory of future research in this domain.

Integrating multiregulatory analysis reveals the negative regulatory function of miR482a in the response of poplar to canker pathogen infection.

Canker disease caused by the bacterium Lonsdalea populi is one of the most destructive diseases affecting poplar stems. However, the detailed stress response mechanisms of poplar have not been widely characterized. To explore the diverse regulatory RNA landscape and the function of key regulators in poplar subjected to L. populi stress, we integrated time-course experiment with mock-inoculation (CK) and inoculation (IN) with L. populi at the first, third, and sixth day (IN1, IN3, IN6) on Populus × euramericana cv. '74/76' (107), small RNA-seq, whole transcriptome-wide analysis, degradome analysis and transgenic experiments. A total of 98 differentially expressed (DE) miRNA, 17 974 DEmRNA, and 807 DElncRNA were identified in poplar infected by L. populi, presenting dynamic changes over the infection course. Regulatory networks among RNAs were further constructed. Notably, a network centered on ptc-miR482a in CK-vs-IN3 contained most DEGs. We show that miR482a and miR1448 are located in one transcript as a polycistron. Overexpression of pre-miR482a-miR1448 (OX482-1448) and pre-miR482a (OX482) increased poplar susceptibility to canker pathogen with reduced accumulation of reactive oxygen species, while the suppression of miR482a (STTM482) conferred poplar disease resistance. PHA7 was validated as the target of miR482a with degradome sequencing and tobacco transient co-transformation, its expression being downregulated in OX482-1448 and OX482 lines. Additionally, a series of phasiRNAs were triggered by miR482a targeting PHA7, forming regulatory cascades with more RLP, NBS-LRR, and PK genes, further verifying the defense function of miR482a. These findings provide insights for understanding the roles of ncRNAs and regulatory networks involved in poplar immunity.

Germline Variants in Patients Affected by Both Uveal and Cutaneous Melanoma.

Uveal melanoma (UM) and nonacral cutaneous melanoma (CM) are distinct entities with varied genetic landscapes despite both arising from melanocytes. There are, however, similarities in that they most frequently affect people of European ancestry, and high penetrance germline variants in BAP1, POT1 and CDKN2A have been shown to predispose to both UM and CM. This study aims to further explore germline variants in patients affected by both UM and CM, shedding light on the underlying genetic mechanism causing these diseases. Using exome sequencing we analysed germline DNA samples from a cohort of 83 Australian patients diagnosed with both UM and CM. Eight (10%) patients were identified that carried pathogenic mutations in known melanoma predisposition genes POT1, MITF, OCA2, SLC45A2 and TYR. Three (4%) patients carried pathogenic variants in genes previously linked with other cancer syndromes (ATR, BRIP1 and MSH6) and another three cases carried monoallelic pathogenic variants in recessive cancer genes (xeroderma pigmentosum and Fanconi anaemia), indicating that reduced penetrance of phenotype in these individuals may contribute to the development of both UM and CM. These findings highlight the need for further studies characterising the role of these genes in melanoma susceptibility.