Research Strategy Research Articles

Mental Health Agency Officials' Perceived Priorities for Youth Mental Health and Factors That Influence Priorities.

This study aimed to characterize the perceived priorities of state and county policy makers for youth mental health services and the factors that influence those priorities. Mental health agency officials (N=338; N=221 state officials, N=117 county officials) representing 49 states completed a Web-based survey in 2019-2020. On 5-point scales, respondents rated the extent to which 15 issues were priorities for their agency in providing youth mental health services and the extent to which nine factors influenced those priorities. Suicide was identified as the highest priority (mean±SD rating=4.38±0.94), followed by adverse childhood experiences and childhood trauma and then increasing access to evidence-based treatments. Budget issues (mean=4.27±0.92) and state legislative priorities (mean=4.01±0.99) were perceived as having the greatest influence on setting priorities. These findings provide insights into youth mental health policy priorities and can be used to guide implementation and dissemination strategies for research and program development within state and county systems.

Quality evaluation for Ficus hirta Vahl granules, using TLC and HPLC fingerprint combined with chemical pattern recognition.

Ficus hirta Vahl is a healthy food with both medicinal and culinary properties and with anti-inflammatory and anti-aging effects. There is currently no standardized or universally accepted research strategy for evaluating the quality of Ficus hirta Vahl granules (FHGs). Therefore, the development of a comprehensive quality evaluation method is crucial for the quality control of FHGs. In this study, we used n-hexane : trichloromethane : ethyl acetate : glacial acetic acid = 20 : 4 : 7 : 1 as the optimal developing agent for TLC to separate and identify 15 batches of FHGs from different origins. Using HPLC, a fingerprint with 7 common peaks was established, and peaks 6 and 7 were attributed to psoralen and bergapten, respectively. The content of the identified components was determined. Further quality evaluation of FHGs was performed using chemical pattern recognition, and the results showed that hierarchical cluster analysis (HCA) could cluster 15 batches of FHGs into 2 categories. Principal component analysis (PCA) showed that 2 principal components can show the similarities and differences between different batches of FHGs. Orthogonal partial least squares discrimination (OPLS-DA) showed that components 5, 6 (psoralen) and 7 (bergapten) are landmark components that cause differences in FHG quality from different regions. By integrating the analytical modes of TLC, HPLC fingerprint and chemical pattern recognition, a scientific basis is provided for the comprehensive control and evaluation of herbal medicine quality.

Integration of the Pancasila student profile in physical education learning

Background: The integration of the Pancasila Student Profile (PSP) in physical education (PE) learning represents a significant endeavour to align educational practices with national values and aspirations. Through rigorous research and thoughtful implementation strategies, educators can harness the transformative potential of PE to cultivate socially responsible citizens who embody the spirit of Pancasila in their actions and interactions within the broader Indonesian society. Research Objectives: The aim of this research is to determine the level of integration of Pancasila student profiles in physical education learning in Bengkulu City. Methods: The quantitative research method was used to achieve this goal. The sample was 432 students whose taken randomly among the elementary school, middle school, and high school. The instrument in this research was a questionnaire. The data was analysed using the mean ideal and the deviation standard ideal. Finding/Results: The integration of the PSP in schools in the city of Bengkulu has four different categories. In the very high category, the frequency is 51; in the high category, the frequency is 301; in the moderate category, the frequency is 78; and in the low category, the frequency is 2. Conclusion: The Pancasila profile of students learning PE in Bengkulu City is well implemented. The novelty of integrating the PSP into PE learning lies in its unique approach to instilling national values and character education in the PE curriculum. This integration aims to encourage holistic student development by combining physical education learning with the values of God Almighty, independence, global diversity, cooperation, critical thinking, and creative thinking, which are the core of the Pancasila student profile.

Red mud and bismuth oxide based X-ray shielding tiles for upcoming hospitals: A comprehensive study on phase quantification and physical properties

Red mud (RM) is a solid alumina industry waste generated in millions of tonnes and is stockpiled across the globe. From the environmental perspective, research and innovation strategies are utmost necessary for the minimization and utilization of red mud. In an attempt to develop an environmentally friendly technology, RM was utilized with Bi2O3 for the development of radiation shielding tiles. RM is a source of many metal oxides, which react with Bi2O3 during sintering and form various high-dense phases. The Rietveld refinement of the tiles sintered from 600 to 1100°C confirms the formations and transformations of several high-dense phases like Bi24Ti2O40, BiFeO3, and Na0.5Bi0.5TiO3. The RM-Bi2O3 mixture sintered at 1100°C (RMBi1100) exhibited high density (3.64 ×103 kg m−3), less porosity (10 %), and flexural strength of 24 MPa. The results showed that the developed sample has a half-value layer (HVL) of 1.15 mm at 140 kV. The 15.5 mm, 13.5 mm, and 7 mm thick RMBi1100 tiles can effectively replace 2.3 mm, 2 mm, and 1 mm thick lead sheets respectively, that are used to establish radiation shielding structures in computed tomography, radiography & fluoroscopy, and dental infra oral radiography installations, respectively. It can promote the utilization of red mud and thereby reduce the environmental pollution associated with lead and red mud.

Analysis of single-cell transcriptome data from a mouse model implicates protein synthesis dysfunction in schizophrenia.

Schizophrenia is a mental disorder that causes considerable morbidity, whose risk largely results from genetic factors. Setd1a is a gene implicated in schizophrenia. To study the gene expression changes found in heterozygous Setd1a± knockout mice in order to gain useful insight into schizophrenia pathogenesis. We mined a single-cell RNA sequencing (scRNAseq) dataset from the prefrontal cortex (PFC) and striatum of Setd1a± mice and identified cell type-specific differentially expressed genes (DEGs) and differential transcript usage (DTU). DEGs and genes containing DTU found in each cell type were used to identify affected biological pathways using Ingenuity Pathway Analysis (IPA). We identified 273 unique DEGs across all cell types in PFC and 675 unique gene peaks containing DTU. In striatum, we identified 327 unique DEGs across all cell types and 8 unique gene peaks containing DTU. Key IPA findings from the analysis of DEGs found in PFC and striatum implicate processes involved in protein synthesis, mitochondrial function, cell metabolism, and inflammation. IPA analysis of genes containing DTU in PFC points to protein synthesis, as well as cellular activities involving intracellular signaling and neurotransmission. One canonical pathway, 'EIF2 Signaling', which is involved in the regulation of protein synthesis, was detected in PFC DEGs, striatum DEGs, and PFC genes containing DTU, drawing attention to its importance in schizophrenia pathophysiology. Processes involving protein synthesis in general and the 'EIF2 Signaling' pathway in particular could be targets for the development of new research strategies and biomarkers in schizophrenia.

Challenges and Progress in Anode‐Electrolyte Interfaces for Rechargeable Divalent Metal Batteries

AbstractDivalent metal batteries have attracted considerable attention in scientific exploration for sustainable energy storage solutions owing to the abundant reserves of magnesium (Mg) and calcium (Ca), the competitive low redox potentials of the Mg/Mg2+ (–2.37 V vs SHE) and Ca/Ca2+ (–2.87 V vs SHE) couples, as well as the high theoretical capacities of both metal anodes. However, the development of these batteries faces fundamental challenges stemming from the limited cycling stability and efficiency of Mg/Ca metal anodes. These issues primarily originate from the sluggish electrochemical redox kinetics of the divalent metals, particularly at the anode‐electrolyte interfaces. This comprehensive review provides an up‐to‐date overview of advancements in the field of the anode‐electrolyte interface for divalent metal batteries, covering aspects ranging from its formation, morphology, and composition to their influence on the reversible electrochemical deposition of divalent metals. Recent approaches aimed at enhancing the performance of metallic Mg and Ca anodes across various electrolytes are summarized and discussed, with the goal of providing insights for the development of new strategies in future research.

Targeting the Hippo/YAP1 signaling pathway in hepatocellular carcinoma: From mechanisms to therapeutic drugs (Review).

The Hippo signaling pathway plays a pivotal role in regulating cell growth and organ size. Its regulatory effects on hepatocellular carcinoma (HCC) encompass diverse aspects, including cell proliferation, invasion and metastasis, tumor drug resistance, metabolic reprogramming, immunomodulatory effects and autophagy. Yes‑associated protein 1 (YAP1), a potent transcriptional coactivator and a major downstream target tightly controlled by the Hippo pathway, is influenced by various molecules and pathways. The expression of YAP1 in different cell types within the liver tumor microenvironment exerts varying effects on tumor outcomes, warranting careful consideration. Therefore, research on YAP1‑targeted therapies merits attention. This review discusses the composition and regulation mechanism of the Hippo/YAP1 signaling pathway and its relationship with HCC, offering insights for future research and cancer prevention strategies.

Deciphering Mechanisms, Prevention Strategies, Management Plans, Medications, and Research Techniques for Strokes in Systemic Lupus Erythematosus

Systemic lupus erythematosus (SLE) is an autoimmune rheumatic condition characterized by an unpredictable course and a wide spectrum of manifestations varying in severity. Individuals with SLE are at an increased risk of cerebrovascular events, particularly strokes. These strokes manifest with a diverse range of symptoms that cannot be solely attributed to conventional risk factors, underscoring their significance among the atypical risk factors in the context of SLE. This complexity complicates the identification of optimal management plans and the selection of medication combinations for individual patients. This susceptibility is further complicated by the nuances of neuropsychiatric SLE, which reveals a diverse array of neurological symptoms, particularly those associated with ischemic and hemorrhagic strokes. Given the broad range of clinical presentations and associated risks linking strokes to SLE, ongoing research and comprehensive care strategies are essential. These efforts are critical for improving patient outcomes by optimizing management strategies and discovering new medications. This review aims to elucidate the pathological connection between SLE and strokes by examining neurological manifestations, risk factors, mechanisms, prediction and prevention strategies, management plans, and available research tools and animal models. It seeks to explore this medical correlation and discover new medication options that can be tailored to individual SLE patients at risk of stroke.

The Implementation of Read, Ask, Paraphrase Technique in the News Reading Comprehension

The purpose of this study is to investigate the significance of applying the RAP technique in learning activities in reading classrooms. The researcher employed a quantitative experimental research strategy for this study. The participants in this study were students in classes IX-A and IX-B at SMP Gajah Mada Medan who were in their ninth grade. Selecting samples, researchers used the term cluster random sampling by choosing two classes. There are 60 students total; there are 15 pupils in each class. Two groups of students were formed; the experimental group and the control group. The control group was instructed in traditional ways, whereas the experimental group received therapy (the RAP approach). An exam with multiple choice questions is the tool used to gather data. To assess the data, the t-test formula was used. The data was evaluated using the t-test procedure. The analysis's findings demonstrate that, at a significance level of 0.05 and with 28 degrees of freedom (df), those served exceed the t-table (3.86> 2.44). This indicates that students' learning scores have been positively impacted by the use of the RAP technique in the teaching and learning process, particularly when it comes to the reading of news articles for class.

THE ROLE OF EMERGING TECHNOLOGIES OF STUDENTS' ACADEMIC ACHIEVEMENT AT POLITEKNIK SEBERANG PERAI (PSP)

Education is crucial for global progress, constantly evolving with emerging technologies that impact teaching and learning. This essay explores how new technologies influence academic success, specifically examining elevated failure rates at Politeknik Seberang Perai (PSP) in Malaysia. Factors like insufficient information, slow progress, and inadequate time management are linked to these failurerates. The study investigates the influence of new technologies on academic achievement at PSP using an ex post facto research strategy and quantitative methods to collect data from 200 respondents across various departments. The research identifies the types of technologies used by students and evaluates their impact on academic performance. Chi-Square analysis and Spearman correlation coefficient are utilized to test hypotheses. Findings reveal that modern technology, particularly cell phones, is widely accessible to students, with notable discrepancies in access across departments. A weak correlation exists between the frequency of technology use and academic achievement, with a statistically significant association only found in obtaining material online. The study contributes to the literature on the use of new technologies for academic purposes within PSP. Results emphasize the necessity of educating students on effective technology use to enhance academic outcomes. It highlights that simply having access to new technologies does not guarantee academic success; it depends on how students integrate these tools into their learning processes. Recommendations include teaching students efficient technology utilization and recognizing that academic improvement is not assured solely by usingtechnology. The study underscores the importance of strategic technology integration in education to foster academic achievement.

Assessing dual use risks in AI research: necessity, challenges and mitigation strategies

This article argues that due to the difficulty in governing AI, it is essential to develop measures implemented early in the AI research process. The goal of dual use considerations is to create robust strategies that uphold AI’s integrity while protecting societal interests. The challenges of applying dual use frameworks to AI research are examined and dual use and dual use research of concern (DURC) are defined while highlighting the difficulties in balancing the technology’s benefits and risks. AI’s dual use potential is discussed, particularly in areas like NLP and LLMs, and the need for early consideration of dual use risks to ensure ethical and secure development is underscored. In the section on shared responsibilities in AI research and avenues for mitigation strategies the importance of early-stage risk assessments and ethical guidelines to mitigate misuse is emphasized, accentuating self-governance within scientific communities and structured measures like checklists and pre-registration to promote responsible research practices. The final section argues that research ethics committees play a crucial role in evaluating the dual use implications of AI technologies within the research pipeline. The need for tailored ethics review processes is articulated, drawing parallels with medical research ethics committees.

Use of e-learning platforms to monitor surgical competencies in medical universities

The emergence of e-learning platforms as a potential means of advancement is not new, but their use has increased significantly during the COVID-19 epidemic. Distance learning presents users with not only problems but also user-centered solutions. The purpose of this study is to review the literature on e-learning platforms used in medical schools to formulate a research strategy to implement an e-learning platform for surgical competency control. To achieve the objective, a search was conducted for articles cited in PubMed, Research Gate, Google Scholar, Web of Science and Scopus databases from journals and conference proceedings published between 2015 and 2023. Literature in the study area was systematized to explore the experiences of users of e-learning platforms in medical schools to provide a basis for a methodological framework.The proposed structure or content analysis model can be used for further e-learning research and guide the successful implementation of e-learning and surgical competency monitoring systems in medical HEIs. An important area of focus is the study of the advantages and disadvantages of specific e-learning methods, as their benefits have not been fully explored and are mainly related to e-learning platforms. Here we consider various features of e-learning in the context of its implementation in the system of medical education in Kazakhstan and other foreign countries.

SME digital transformation and the COVID-19 pandemic: a case study of a hard-hit metropolitan area

Abstract Cities and regions are facing diverse challenges, and the transformation to a digital economy is a core issue. The coronavirus disease-2019 (COVID-19) pandemic has had widespread impacts on business, and it has heightened the need for digitalization. We analyse if and to what degree the COVID-19 pandemic has accelerated the digital transformation of small and medium-sized enterprises (SMEs) in the metropolitan region of Madrid. Our research strategy is based on a quantitative analysis of survey data at the company level. Our results show that a large share of SMEs invested in digital technologies as a response to the pandemic, but there are also important differences between basic and more advanced digital technologies and between manufacturing and service sector firms. SMEs’ previous knowledge and technological resources and capabilities, as well as their collaboration networks with providers are found to trigger adoption of digital technology. Implications for postpandemic policies are highlighted.

Practical applications of soil microbiota to improve ecosystem restoration: current knowledge and future directions.

Soil microbiota are important components of healthy ecosystems. Greater consideration of soil microbiota in the restoration of biodiverse, functional, and resilient ecosystems is required to address the twin global crises of biodiversity decline and climate change. In this review, we discuss available and emerging practical applications of soil microbiota into (i) restoration planning, (ii) direct interventions for shaping soil biodiversity, and (iii) strategies for monitoring and predicting restoration trajectories. We show how better planning of restoration activities to account for soil microbiota can help improve progress towards restoration targets. We show how planning to embed soil microbiota experiments into restoration projects will permit a more rigorous assessment of the effectiveness of different restoration methods, especially when complemented by statistical modelling approaches that capitalise on existing data sets to improve causal understandings and prioritise research strategies where appropriate. In addition to recovering belowground microbiota, restoration strategies that include soil microbiota can improve the resilience of whole ecosystems. Fundamentally, restoration planning should identify appropriate reference target ecosystem attributes and - from the perspective of soil microbiota - comprehensibly consider potential physical, chemical and biological influences on recovery. We identify that inoculating ecologically appropriate soil microbiota into degraded environments can support a range of restoration interventions (e.g. targeted, broad-spectrum and cultured inoculations) with promising results. Such inoculations however are currently underutilised and knowledge gaps persist surrounding successful establishment in light of community dynamics, including priority effects and community coalescence. We show how the ecological trajectories of restoration sites can be assessed by characterising microbial diversity, composition, and functions in the soil. Ultimately, we highlight practical ways to apply the soil microbiota toolbox across the planning, intervention, and monitoring stages of ecosystem restoration and address persistent open questions at each stage. With continued collaborations between researchers and practitioners to address knowledge gaps, these approaches can improve current restoration practices and ecological outcomes.

Adding metabolic tasks to human GEM models to improve the study of gene targets and their associated toxicities

Genetic minimal cut sets (gMCS) are genes that must be deactivated simultaneously to avoid unwanted states in a metabolic model. The concept of gMCS can be applied to two different scenarios. First, it can be used to identify potential gene toxicities in generic or healthy cell models. Second, it can be used to develop genetic strategies to target cancer cells and prevent their proliferation. Up to now, gMCS have been evaluated using the traditional procedure of preventing biomass production. This paper proposes an additional way: using essential metabolic tasks, which any human cell should perform, to enlarge the set of unwanted states. Including this addition can significantly improve the study of toxicities and reveal targets that can be used to treat unhealthy cells. Excluding metabolic tasks can cause important information to be overlooked, which could impact the study’s success. Regarding toxicities, using the generic Human model, the number of detected generic toxicities with metabolic tasks increases from 106 to 281 (136 gMCSs of length 1 and 49 of length 2). We have used the following context-specific models to evaluate specific toxicities in different healthy tissues: blood, pancreas, liver, heart, and kidney. Again, considering metabolic tasks, we have found new toxicities (lengths 1 and 2) whose inactivation could damage these healthy tissues.Our research strategy has been applied to identify new cancer drug targets in two myeloma cell lines. We obtained new therapeutic targets of lengths 1 and 2 for each cell line. After analyzing the data, we conclude that incorporating metabolic tasks into cancer models can reveal important therapeutic targets previously disregarded by the conventional method of inhibiting biomass production. This approach also improves the evaluation of potential drug toxicities.

Effectuation in digital multi-sided platform startups: An entrepreneurial journey through open innovation process

A paradox arises in platform-based open innovation, wherein digital Multi-Sided Platform (MSP) firms with little initial co-creation ability can successfully adopt an open innovation strategy that typically requires a high level of co-creation capacity. This study aims to fill this gap by theoretically exploring the connection between effectuation, which involves entrepreneurial action based on a given set of means and the selection of possible effects, and the open innovation process with co-creation capacity. The objective is to contribute to the significant growth of digital MSP startups. This study investigates the process of open innovation based on platforms in the context of resource constraints, limited knowledge, and uncertainty. The outcomes of a quantitative study including 70 digital MSP startups indicate that the most efficient route for these businesses to achieve Innovation Performance is by first developing Effectuation, followed by Integrative Capabilities and Co-Creation Capacity, and last, Innovation Performance. However, in this shortest path, the involvement of Crowds or Communities Management Practices plays a role in partially moderating the relationship between Effectuation and Integrative Capabilities. Platform-based innovation serves as the point of integration between effectuation theory in entrepreneurship research and open innovation strategy in strategic management research. The bridge connecting these two fields has significant implications for research on platform-based innovation in the field of strategic entrepreneurship.

Exploration on Innovation Path of Precise Ideological and Political Work in Colleges and Universities Under the Background of Big Data Driving

However, although existing models for evaluating the effectiveness of universities provide a large number of modeling solutions, it is difficult to objectively evaluate dynamic coefficients based on the differences in precision ideological and political work systems of different types of universities in the evaluation process of innovative paths for precision ideological and political work. In this context, this article proposes an innovative path for the precision of ideological and political work in universities under the background of big data driving, and constructs a complex system discrete dynamic modeling technology. This model quantitatively describes the consistency between different precise ideological and political work models, the similarity of research strategies for precise ideological and political work, and expected evaluation indicators using multiple transformation dynamic coefficients. This study provides new ideas and methods for innovative research in the field of ideological and political work in universities.

What characterizes strategy research in Latin America? A bibliometric analysis for the 1990–2023 period

Purpose This article examines strategic management research across Latin America from 1990 to 2023, addressing four critical inquiries: the themes prevalent in strategic discussions, the leading countries in strategic management (SM) publications, the defining characteristics of strategic research in major Latin American economies and the reflection on whether Latin America is a region that generates or follows the knowledge of the Global North. Design/methodology/approach Utilizing co-occurrence analysis, this study maps the terrain of SM research in the region, analyzing 4,963 articles indexed in the Scopus database. The authors employed a co-occurrence analysis to map SM research in Latin America, analyzing 4,963 articles from the Scopus database. Findings Predominant themes include the theoretical underpinnings of strategy, sustainable development, innovation, tourism and international trade. Brazil, Mexico, Colombia and Chile have emerged as leaders in research volume and thematic diversity, particularly in sustainable development and innovation. Practical implications By identifying patterns, behaviors and trends in SM research, the authors uncover methods and tools that, once contextualized for the region, can significantly enhance organizational performance. Originality/value This investigation is a pioneering effort, providing a focused analysis on SM research within Latin America. It highlights significant contributions since 1990 across the region's main economies. This study represents one of the first comprehensive mappings of this academic field within Latin America. This is the first article, to the authors’ knowledge, developed to map the intellectual structure of the SM field in Latin America through an analysis of co-occurrences, with emphasis on the region's main economies.

Serum Metabolites as Potential Markers and Predictors of Depression-like Behavior and Effective Fluoxetine Treatment in Chronically Socially Isolated Rats

Metabolic perturbation has been associated with depression. An untargeted metabolomics approach using liquid chromatography-high resolution mass spectrometry was employed to detect and measure the rat serum metabolic changes following chronic social isolation (CSIS), an animal model of depression, and effective antidepressant fluoxetine (Flx) treatment. Univariate and multivariate statistics were used for metabolic data analysis and differentially expressed metabolites (DEMs) determination. Potential markers and predictive metabolites of CSIS-induced depressive-like behavior and Flx efficacy in CSIS were evaluated by the receiver operating characteristic (ROC) curve, and machine learning (ML) algorithms, such as support vector machine with linear kernel (SVM–LK) and random forest (RF). Upregulated choline following CSIS may represent a potential marker of depressive-like behavior. Succinate, stachydrine, guanidinoacetate, kynurenic acid, and 7-methylguanine were revealed as potential markers of effective Flx treatment in CSIS rats. RF yielded better accuracy than SVM–LK (98.50% vs. 85.70%, respectively) in predicting Flx efficacy in CSIS vs. CSIS, however, it performed almost identically in classifying CSIS vs. control (75.83% and 75%, respectively). Obtained DEMs combined with ROC curve and ML algorithms provide a research strategy for assessing potential markers or predictive metabolites for the designation or classification of stress-induced depressive phenotype and mode of drug action.

Genome sequencing of Elaeocarpus spp. stem blight pathogen Pseudocryphonectria elaeocarpicola reveals potential adaptations to colonize woody bark

BackgroundElaeocarpus spp. stem blight, caused by Pseudocryphonectria elaeocarpicola, is a destructive disease, which will significantly reduce the productivity and longevity of Elaeocarpus spp. plants, especially in the Guangdong Province of China. However, few information is available for P. elaeocarpicola. To unravel the potential adaptation mechanism of stem adaptation, the whole genome of P. elaeocarpicola was sequenced by using the DNBSEQ and PacBio platforms.ResultsP. elaeocarpicola harbors 44.49 Mb genome with 10,894 predicted coding genes. Genome analysis revealed that the P. elaeocarpicola genome encodes a plethora of pathogenicity-related genes. Analysis of carbohydrate-active enzymes (CAZymes) revealed a rich variety of enzymes participated in plant cell wall degradation, which could effectively degrade cellulose, hemicellulose and xyloglucans in the plant cell wall and promote the invasion of the host plant. There are 213 CAZyme families found in P. elaeocarpicola, among which glycoside hydrolase (GH) family has the largest number, far exceeding other tested fungi by 53%. Besides, P. elaeocarpicola has twice as many genes encoding chitin and cellulose degradation as Cryphonectria parasitica, which belong to the same family. The predicted typical secreted proteins of P. elaeocarpicola are numerous and functional, including many known virulence effector factors, indicating that P. elaeocarpicola has great potential to secrete virulence effectors to promote pathogenicity on host plants. AntiSMASH revealed that the genome encoded 61 secondary metabolic gene clusters including 86 secondary metabolic core genes which was much higher than C. parasitica (49). Among them, two gene cluster of P. elaeocarpicola, cluster12 and cluster52 showed 100% similarity with the mycotoxins synthesis clusters from Aspergillus steynii and Alternaria alternata, respectively. In addition, we annotated cytochrome P450 related enzymes, transporters, and transcription factors in P. elaeocarpicola, which are important virulence determinants of pathogenic fungi.ConclusionsTaken together, our study represents the first genome assembly for P. elaeocarpicola and reveals the key virulence factors in the pathogenic process of P. elaeocarpicola, which will promote our understanding of its pathogenic mechanism. The acquired knowledge lays a foundation for further exploration of molecular interactions with the host and provide target for management strategies in future research.