Valuable Resource Research Articles

Mouse Models for the Study of Liver Fibrosis Regression In Vivo and Ex Vivo.

This review discussed experimental mouse models used in the pre-clinical study of liver fibrosis regression, a pivotal process in preventing the progression of metabolic dysfunction-associated steatohepatitis to irreversible liver cirrhosis. These models provide a valuable resource for understanding the cellular and molecular processes underlying fibrosis regression in different contexts. The primary focus of this review is on the most commonly used models with diet- or hepatotoxin-induced fibrosis, but it also touches upon genetic models and mouse models with biliary atresia or parasite-induced fibrosis. In addition to emphasizing in vivo models, we briefly summarized current in vitro approaches designed for studying fibrosis regression and provided an outlook on evolving methodologies that aim to refine and reduce the number of experimental animals needed for these studies. Together, these models contribute significantly to unraveling the underlying mechanisms of liver fibrosis regression and offer insights into potential therapeutic interventions. By presenting a comprehensive overview of these models and highlighting their respective advantages and limitations, this review serves as a roadmap for future research.

Competing with Theories: Using Awareness and Confidence to Secure Resources and Rents

An assumption of factor market efficiency is often used to grant primacy to firms’ existing unique and valuable resources as the source of economic rents. But this assumption is difficult to reconcile with observed market outcomes. For instance, five of the six companies with the highest global market capitalization in 2022 were upstarts in their industries with few resources at their origins. More surprising, three of these entrants were assisted by incumbents with vastly superior resources in assembling the resources they required. In this paper we explore how entrants compete with theories to secure resources from incumbents and capture rents. We introduce a modeling approach in which theories with causal logic generate awareness of valuable potential future states and shape the beliefs about payoffs and probabilities associated with these states. We combine work in the theory-based view and value capture theory to distinguish among three distinct sources of economic rents that are potentially available to entrants: awareness rents, confidence rents, and resource rents. We explore the circumstances under which these three types of rents are available. By exploring the role of theories and awareness in value creation and capture, our paper seeks to deepen our understanding of how entrants both attract resources and secure rents.

LcASR enhances tolerance to abiotic stress in Leymus chinensis and Arabidopsis thaliana by improving photosynthetic performance

SUMMARYAs a crucial forage grass, Leymus chinensis plays significant roles in soil and water conservation owing to its robust stress resistance. However, the underlying molecular mechanisms of its stress tolerance remain unclear. In this study, a novel gene, designated as LcASR (Abiotic Stress Resistance in Leymus chinensis), imparting resilience to both high light and drought, was identified. Under normal growth conditions, heterologous overexpression of LcASR in Arabidopsis (HO lines) showed no significant difference in appearance compared to wild‐type. Nevertheless, HO lines accumulate significantly higher chlorophyll content during the dark‐to‐light transition compared to the wild‐type, indicating that the LcASR protein participates in chlorophyll synthesis during chloroplast development. Meanwhile, transgenic Arabidopsis and L. chinensis plants exhibited resistance to abiotic stresses such as high light and drought. Photosystem complexes analysis revealed that LHCII proteins remained stable within their respective complexes during high light stress. We hypothesize that LcASR may play a role in fine tuning of chlorophyll synthesis to enable plant adaptation to diverse stress conditions. Moreover, overexpression of LcASR in L. chinensis led to agronomically valuable traits such as deeper green color, higher biomass accumulation, prolonged withering period, and extended grazing durations. This study uncovers a novel gene in L. chinensis that enhances forage yield and provides valuable genetic resources for sheepgrass breeding.

Genome-Wide Analysis of the Multidrug and Toxic Compound Extrusion Gene Family in the Tea Plant

The multidrug and toxic compound extrusion (MATE) family is the latest class of novel secondary transporters discovered in plants. However, there is currently no comprehensive analysis of the MATE gene family in the tea plant. In this study, 68 CsMATE genes were identified from the tea plant genome using bioinformatic methods. In general, we analyzed the evolutionary relationships, intron–exon structure, distribution in chromosomes, conserved domains, and gene expression patterns in different tissues and stresses of the CsMATE gene family. The 68 CsMATEs were phylogenetically divided into four major clusters (Class I to Class IV). The CsMATE genes within the same class exhibit similar structural features, while displaying certain distinctions across different classes. Evolutionary analysis indicated that the CsMATE gene family expanded mainly through gene duplication events, in addition to proximal duplication. Through the analysis of cis-acting elements, it was found that CsMATE genes may be involved in the growth, development, and stress response. Furthermore, we observed that certain CsMATE genes could be induced to exhibit expression under abiotic stress conditions such as low temperature, high salinity (NaCl), osmotic stress (PEG), and methyl jasmonate treatment (MeJA). The findings presented herein offer a crucial theoretical foundation for elucidating the biological functions of CsMATE genes, particularly in response to abiotic stress, and furnish valuable potential genetic resources for tea plant resistance breeding.

The HADRIAN novel human–machine interface prototype for automated driving: safety and impact assessment

AbstractThe current paper was performed within the HADRIAN project and focuses on exploring the effects of innovative Human–Machine Interface (HMI) prototypes on safety, driving performance, and driver perceptions. Employing driving simulator experiments and questionnaires, this study investigates whether HADRIAN innovative HMI enhances safety and receives positive evaluations from drivers. Specifically, the research centers on a driving simulator experiment that evaluates novel HMI prototypes designed to improve automated driving at SAE Levels 2 or 3. To facilitate HMI assessment, a tailored safety and impact assessment methodology was developed using unique Key Performance Indicators (KPIs). To benchmark and generate a total score for the HADRIAN HMI, data envelopment analysis was deployed based on the aforementioned KPIs. The findings shed light on the influence of HADRIAN HMI innovations on safety and perceived impact when compared to a baseline “state-of-the-art” HMI. Subsequently, a comprehensive discussion unfolds, highlighting the key KPIs that contributed significantly to the safety and perceived impact scores. This method and its outcomes can serve as a valuable resource for other HMI stakeholders, enabling them to employ similar human-centered assessment methodologies to assess the safety and perceived impact of potential HMI configurations.

Isolation and Characterization of Biosurfactant-Producing Bacteria for Enhancing Oil Recovery

Biosurfactants produced by bacteria possess remarkable emulsification properties for crude oil, significantly enhancing oil mobility and recovery rates. This study aimed to isolate and screen biosurfactant-producing bacteria for oil enhancing recovery. A total of 93 bacterial strains were isolated from marine sediments, with three high-yield biosurfactant-producing strains identified: Pseudomonas aeruginosa N33, Bacillus paralicheniformis Nian2, and Stenotrophomonas nematodicola T10. The fermentation conditions, such as pH, carbon source, nitrogen source, and C/N ratio, were optimized to maximize the yield and activity of biosurfactants. Further evaluations were performed to assess the stability of the bio-surfactant activity and its emulsification properties. The results indicated that all three strains produced biosurfactants that retained their oil displacement activity in the presence of Na+ and Mg2+, but showed a significant reduction in their activities in the presence of Ca2+. The biosurfactants maintained their original activity after treatment at 120 °C for 3 h. Additionally, the biosurfactants produced by all three strains demonstrated excellent oil emulsification capabilities. Static oil-washing and dynamic displacement experiments revealed static oil recovery rates of 28.1%, 23.4%, and 7.1%, respectively, for N33, Nian2, and T10, and dynamic oil displacement recovery rates of 95.0%, 74.1%, and 69.0%, respectively. This research provides valuable microbial resources for enhancing oil recovery via microorganisms and lays a foundation for practical application.

Investigating the Factors Affecting Customer Trust in E-Commerce

In the rapidly evolving landscape of e-commerce, the foundation of customer trust has emerged as a critical determinant of success for online businesses. This article delves into the multifaceted nature of trust in e-commerce, identifying and analyzing key factors that influence consumer confidence and loyalty. Through a comprehensive examination, we highlight the importance of website design and usability, security measures, customer reviews and testimonials, customer service and support, and the impact of brand reputation and influencer endorsements. The discussion extends to actionable strategies for e-commerce businesses to build and maintain customer trust, emphasizing the need for continuous improvement and adaptation to changing consumer expectations and technological advancements. Real-life case studies provide insights into successful and unsuccessful attempts to foster trust online, underscoring the lessons learned. The article concludes by reflecting on the dynamic nature of trust in e-commerce, urging businesses to stay vigilant and proactive in creating a trustworthy shopping environment. This analysis serves as a valuable resource for e-commerce businesses aiming to navigate the complexities of building trust in the digital age.

Interplay between online customer experience and customer citizenship behaviour towards mobile shopping applications

ABSTRACT In the service industry, embracing customers as valuable resources and stimulating their citizenship behaviours provides a competitive edge. However, there is a dearth of studies on customer citizenship behaviour (CCB) in mobile application services. This study focuses on how online customer experience (OCE), particularly in mobile shopping applications (MSAs), affects CCB. Data from 410 Indian MSA users were collected and analysed using structural equation modelling. The analysis reveals that two aspects of the customer experience – cognitive (users’ perceptions and thoughts about the app) and sensory (the app’s design and visual appeal) – strongly influence key CCB elements, such as customer advocacy, helpfulness, and tolerance. The findings emphasise the relevance of OCE in improving CCB towards MSAs. It will assist marketers in formulating effective branding strategies that drive value co-creation and long-term customer engagement.

Constructing Angstrom‐Level Ion Pocket Array in 1D Channel Wall for Efficient Lithium Ion Sieving

AbstractThe rapid development of new energy industry is leading to the scarcity of lithium (Li) metal. Rational design of adsorbents for efficient separation of Li+ ion from aqueous media is pivotal to solve the recovery of this valuable resource. Current adsorbents generally suffer from the drawbacks in adsorption capacity, kinetics, and selectivity. Herein, a novel and ultra‐stable metal–organic framework is designed for Li+ separation. The dense oxygen atoms on the cambered wall of its 1D channel encircle to form angstrom‐level tetrahedral ion pockets array, acting as the dominant adsorption sites. This rational distribution of the array avoids the pore blockage caused by the pre‐adsorbed ions, thereby accelerating the diffusion of subsequent ions into the interior pore. Meanwhile, this tetrahedral pocket shows distinct electronegativity and strong chelation effect for Li+. Benefiting from these specifics, this adsorbent exhibits a record‐breaking adsorption capacity for Li+ (76.1 mg g−1) and short equilibrium time (30 min). Moreover, the selective adsorption of Li+ over Na+, K+, Ca2+, and Mg2+ is achieved due to the matched Li+ ion diameter with the pocket/channel sizes and lower energy barrier for dehydration. Thus, this work proposes a feasible strategy for the construction of novel MOFs for ions adsorption.

In-Depth Proteome Profiling of the Hippocampus of LDLR Knockout Mice Reveals Alternation in Synaptic Signaling Pathway.

The low-density lipoprotein receptor (LDLR) is a major apolipoprotein receptor that regulates cholesterol homeostasis. LDLR deficiency is associated with cognitive impairment by the induction of synaptopathy in the hippocampus. Despite the close relationship between LDLR and neurodegenerative disorders, proteomics research for protein profiling in the LDLR knockout (KO) model remains insufficient. Therefore, understanding LDLR KO-mediated differential protein expression within the hippocampus is crucial for elucidating a role of LDLR in neurodegenerative disorders. In this study, we conducted first-time proteomic profiling of hippocampus tissue from LDLR KO mice using tandem mass tag (TMT)-based MS analysis. LDLR deficiency induces changes in proteins associated with the transport of diverse molecules, and activity of kinase and catalyst within the hippocampus. Additionally, significant alterations in the expression of components in the major synaptic pathways were found. Furthermore, these synaptic effects were verified using a data-independent acquisition (DIA)-based proteomic method. Our data will serve as a valuable resource for further studies to discover the molecular function of LDLR in neurodegenerative disorders.

High-quality genome assembly and annotation of the crested gecko (Correlophus ciliatus).

Correlophus ciliatus, or the crested gecko, is widely kept as a pet in many countries around the world due to its ease to care and bred and its high survival rate. However, there is limited number of genomic studies on the crested gecko. In this study, we generated a high-quality chromosome-level genome assembly of the crested gecko by combining Nanopore, Illumina, and Hi-C data. The genome assemble has a size of 1.66 Gb, with scaffold N50 of 109.97 Mb, and 99.52% of the scaffold anchored on 19 chromosomes. The BUSCO analysis indicated a gene completeness of 90.3% (n=7,480), including 6,673 (89.2%) single-copy genes and 84 (1.1%) duplicated genes. Additionally, we identified 21,065 protein-coding genes using the MAKER3 annotation toolkit, with 41.98% (697.51 Mb) consisting of repetitive elements. Among these, 21,037 genes were validated through InterProScan5. Our study is the first to report a chromosome-level genome for the crested gecko. It provides valuable genomic resources for understanding molecular mechanisms under many interesting traits of the species.

MosAIC: An annotated collection of mosquito-associated bacteria with high-quality genome assemblies.

Mosquitoes transmit medically important human pathogens, including viruses like dengue virus and parasites such as Plasmodium spp., the causative agent of malaria. Mosquito microbiomes are critically important for the ability of mosquitoes to transmit disease-causing agents. However, while large collections of bacterial isolates and genomic data exist for vertebrate microbiomes, the vast majority of work in mosquitoes to date is based on 16S rRNA gene amplicon data that provides limited taxonomic resolution and no functional information. To address this gap and facilitate future studies using experimental microbiome manipulations, we generated a bacterial Mosquito-Associated Isolate Collection (MosAIC) consisting of 392 bacterial isolates with extensive metadata and high-quality draft genome assemblies that are publicly available, both isolates and sequence data, for use by the scientific community. MosAIC encompasses 142 species spanning 29 bacterial families, with members of the Enterobacteriaceae comprising 40% of the collection. Phylogenomic analysis of 3 genera, Enterobacter, Serratia, and Elizabethkingia, reveal lineages of mosquito-associated bacteria isolated from different mosquito species in multiple laboratories. Investigation into species' pangenomes further reveals clusters of genes specific to these lineages, which are of interest for future work to test for functions connected to mosquito host association. Altogether, we describe the generation of a physical collection of mosquito-associated bacterial isolates, their genomic data, and analyses of selected groups in context of genome data from closely related isolates, providing a unique, highly valuable resource for research on bacterial colonisation and adaptation within mosquito hosts. Future efforts will expand the collection to include broader geographic and host species representation, especially from individuals collected from field populations, as well as other mosquito-associated microbes, including fungi, archaea, and protozoa.

Unveiling the Lipid Features and Valorization Potential of Atlantic Salmon (Salmo salar) Heads

The sustainable utilization of co-products derived from the salmon processing industry is crucial for enhancing the viability and decreasing the environmental footprint of both capture and aquaculture operations. Salmon (Salmo salar) is one of the most consumed fish worldwide and a major species produced in aquaculture. As such, significant quantities of salmon co-products are produced in pre-commercialization processing/steaking procedures. The present study characterized a specific co-product derived from the processing of salmon: minced salmon heads. More specifically, this work aimed to reveal the nutritional profile of this co-product, with a special focus on its lipid content, including thoroughly profiling fatty acids and fully appraising the composition in complex lipids (polar lipids and triglycerides) for the first time. The antioxidant potential of lipid extracts from this salmon co-product was also studied in order to bioprospect lipid functional properties and possibly unveil new pathways for added-value applications. Our analysis indicated that these minced salmon heads are exceptionally rich in lipids. Oleic acid is the most prevalent fatty acid in this co-product, followed by palmitic acid, stearic acid, and linoleic acid. Moreover, relevant lipid indexes inferred from the fatty acid composition of this co-product revealed good nutritional traits. Lipidome analysis revealed that triglycerides were clearly the predominant lipid class present in this co-product while phospholipids, as well as ceramides, were also present, although in minimal quantities. The bioprospecting of antioxidant activity in the lipid extracts of the minced salmon heads revealed limited results. Given the high concentration of triglycerides, minced salmon heads can constitute a valuable resource for industrial applications from the production of fish oil to biodiesel (as triglycerides can be easily converted into fatty acid methyl esters), as well as possible ingredients for cosmetics, capitalizing on their alluring emollient properties. Overall, the valorization of minced salmon heads, major co-products derived from the processing of one of the most intensively farmed fish in the world, not only offers economic benefits but also contributes to the sustainability of the salmon processing industry by reducing waste and promoting a more efficient use of marine bioresources.

AI-based feedback tools in education: A comprehensive bibliometric analysis study

This bibliometric analysis offers a comprehensive examination of AI-based feedback tools in education, utilizing data retrieved from the Web of Science (WoS) database. Encompassing a total of 239 articles from an expansive timeframe, spanning from inception to February 2024, this study provides a thorough overview of the evolution and current state of research in this domain. Through meticulous analysis, it tracks the growth trajectory of publications over time, revealing the increasing scholarly attention towards AI-driven feedback mechanisms in educational contexts. By describing critical thematic areas such as the role of feedback in enhancing learning outcomes, the integration of AI technologies into educational practices, and the efficacy of AI-based feedback tools in facilitating personalized learning experiences, the analysis offers valuable insights into the multifaceted nature of this field. By employing sophisticated bibliometric mapping techniques, including co-citation analysis and keyword co-occurrence analysis, the study uncovers the underlying intellectual structure of the research landscape, identifying prominent themes, influential articles, and emerging trends. Furthermore, it identifies productive authors, institutions, and countries contributing to the discourse, providing a detailed understanding of the collaborative networks and citation patterns within the community. This comprehensive synthesis of the literature serves as a valuable resource for researchers, practitioners, and policymakers alike, offering guidance on harnessing the potential of AI technologies to revolutionize teaching and learning practices in education.

Non-Facial Skin Rejuvenation of the Neck, Chest, and Hands. Part One: Using Injections.

The demand for aesthetic procedures aimed at restoring and preserving a youthful appearance is growing. While numerous non-surgical facial rejuvenation techniques are available, there is a need for a comprehensive review of clinic-based procedures targeting non-facial body parts. This review aims to describe and evaluate clinic-based techniques for rejuvenating the neck, chest, and hands, focusing on various types of fillers and other non-invasive procedures. In this first part of this review, we conducted an extensive literature review on PubMed, reporting the effectiveness of different fillers, detailing their preparation, required volume per area, injection methods, durability, and any associated side effects. We also discuss the use of mesotherapy, microneedling, chemical peeling, and Profhilo in these specific body areas. The review synthesizes the latest data on the effectiveness and safety of these procedures, highlighting the advancements in filler technology and the growing popularity of non-invasive techniques for body rejuvenation. This article serves as a valuable resource for practitioners and patients interested in non-surgical body rejuvenation, providing insights into the best practices.

Turn Hood into Good: Recycling Silicon from Mesoporous Silica Nanoparticles through Magnesium Modification to Lower Toxicity and Promote Tissue Regeneration.

Mesoporous silica nanoparticles (MSNs) have gained wide application as excellent carrier materials; however, their limited degradation in the biological system and potential chronic toxicity pose challenges to their clinical applications. Previous studies have focused on optimizing the elimination performance of MSNs; interestingly, silicon has been well-documented as an essential body component. Therefore, converting MSNs into a form readily utilizable by the organism is a way to turn waste into a valuable resource. However, the recycling and utilization of MSNs are associated with significant hurdles. This study proposes an approach to impede the formation of siloxane, the crucial core in MSNs, by introducing a gradient concentration of Mg2+. The invasion of Mg2+ significantly reduces the stability of Si-O-Si bonds by substituting silicon ions while preserving the functional three-dimensional structure. Recycling the increased release of Mg and Si ions enhances cellular antioxidant capacity, reduces oxidative stress reactions, improves mitochondrial function, and regulates macrophage inflammatory states. The proposed approach to converting MSN materials shows significant advantages for tissue regeneration in the periodontal defect model. This study opens an insight for applying MSNs in clinical applications in regenerative medicine.

Advancements in ascorbic acid quantification: from macroscopic analysis to miniaturized nano-sensing for quality control in food and beverage

Abstract Ascorbic acid (AA) or vitamin C, is vital in food safety, pharmaceutical and biomedical industries. This review discusses recent advancements in biosensors for AA detection. Traditional macro-analysis techniques such as high-performance liquids chromatography (HPLC), and flow injection analysis (FIA) provide accurate measurements but are costly and require specialized handling. Miniaturized nano-sensors are emerging as promising alternatives, offering advantages such as portability, cost effectiveness, and rapid response. This review explores the working principles of these nano-sensors, highlighting colorimetric, fluorometric and electrochemical detection methods. It also outlines the current AA biosensing landscape, detailing strategies to improve selectivity and specificity, including the choice of biorecognition elements and material selection for detection probe synthesis. Emerging nanomaterials and their applicability to support sensing activity are explored. This review serves as a valuable resource, suggesting future research directions to address existing challenges and further advance biosensor technology.

Climate Change and Urban Flooding: Assessing Remote Sensing Data and Flood Modeling Techniques: A Comprehensive Review

This review critically examines the current understanding of climate change impacts on urban flooding, synthesizing recent findings to provide a comprehensive overview of how rising temperatures, sea-level rise, and increased extreme weather events influence urban floods. Additionally, it discusses various flood modeling techniques, outlining their advantages and disadvantages. Covering a broad spectrum of studies published between 2007 and 2024, selected for their relevance and methodology, this review highlights several key findings. Climate change significantly exacerbates urban flood disasters, with remote sensing emerging as an indispensable tool for climate change and flood monitoring and prediction. Despite these advancements, notable gaps remain in the literature. There is a conspicuous lack of long-term impact studies and limited discourse on the efficacy of existing mitigation strategies. Additionally, the review underscores the deficiency of real-time flood monitoring systems specifically designed for urban areas. These gaps highlight an urgent need for targeted research and the development of adaptive management practices to enhance flood prediction and management in urban settings. Future research must focus on advancing real-time monitoring systems, integrating remote sensing technologies more effectively, and developing comprehensive flood models. The review also emphasizes the importance of interdisciplinary approaches that merge hydrology, climatology, urban planning, and technology. By consolidating existing research, this review serves as a valuable resource for researchers and policymakers. It underscores the critical need for innovative flood modeling techniques and adaptive management strategies to tackle the challenges posed by climate change. This synthesis not only enriches the current body of knowledge, but also provides clear directions for future investigations, emphasizing the imperative for improved prediction, preparedness, and response mechanisms in urban flood management.

SiRNAEfficacyDB: An experimentally supported small interfering RNA efficacy database.

Small interfering RNA (siRNA) has revolutionised biomedical research and drug development through precise post-transcriptional gene silencing technology. Despite its immense potential, siRNA therapy still faces technical challenges, such as delivery efficiency, targeting specificity, and molecular stability. To address these challenges and facilitate siRNA drug development, we have developed siRNAEfficacyDB, a comprehensive database that integrates experimentally validated siRNA efficacy data. This database contains 3544 siRNA records, covering 42 target genes and 5 cell lines. It provides detailed information on siRNA sequences, target genes, inhibition efficiencies, experimental techniques, cell lines, siRNA concentrations, and incubation times. siRNAEfficacyDB offers a user-friendly web interface that makes it easy to query, browse and analyse data, enabling efficient access to siRNA-related information. In summary, siRNAEfficacyDB provides a useful data foundation for siRNA drug design and optimisation, serving as a valuable resource for advancing computer-aided siRNA design research and nucleic acid drug development. siRNAEfficacyDB is freely available at https://cellknowledge.com.cn/siRNAEfficacy for non-commercial use.

Mutation of rice EARLY LEAF LESION AND SENESCENCE 1(ELS1), which encodes an anthranilate synthase α-subunit, induces ROS accumulation and cell death through activating the tryptophan synthesis pathway in rice.

Lesion-mimic mutants (LMMs) serve as valuable resources for uncovering the molecular mechanisms that govern programmed cell death (PCD) in plants. Despite extensive research, the regulatory mechanisms of PCD and lesion formation in various LMMs remain to be fully elucidated. In this study, we identified a rice LMM named early leaf lesion and senescence 1 (els1), cloned the causal gene through map-based cloning, and confirmed its function through complementation. ELS1 encodes an anthranilate synthase α-subunit involved in anthranilate biosynthesis. It is predominantly localized in chloroplasts and is primarily expressed in light-exposed tissues. Mutation of ELS1 triggers upregulation of its homologous gene, ASA1, via a genetic compensation response, leading to the activation of the tryptophan (Trp) synthesis pathway and amino acid metabolism. The accumulation of abnormal Trp-derived intermediate metabolites results in reactive oxygen species (ROS) production and abnormal PCD in the els1 mutant, ultimately causing the leaf lesion phenotype. The els1 mutant also exhibits reduced chlorophyll content, upregulation of genes related to chloroplast degradation and leaf senescence, and decreased activity of photosynthetic proteins, indicating that ELS1 plays a role in chloroplast development. These factors collectively contribute to the premature leaf senescence observed in the els1 mutant. Our findings shed light on the role of ELS1 in regulating ROS accumulation and PCD in rice, providing further genetic insights into the molecular mechanisms governing leaf lesions and senescence.