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Regulatory circuits involving bud dormancy factor PpeDAM6

Horticulture Research 2021年第1期8卷 3488-3505页

作者： Alba Lloret Carles Quesada-Traver Ana Conejero Vicent Arbona Concepcion Gomez-Mena Cesar Petri jesus a.sanchez-navarro Elena Zuriaga Carmen Leida Maria Luisa Badenes Gabino Rios Instituto Valenciano de Investigaciones Agrarias 46113 MoncadaValenciaSpain Departament de Ciencies Agraries i del Medi Natural Universitat Jaume ICastello de la PlanaSpain Instituto de Biologia Molecular y Celular de Plantas Universitat Politecnica de Valencia-Consejo Superior de Investigaciones Cientificas46022 ValenciaSpain Departamento de Fruticultura Subtropical y Mediterranea IHSM-UMA-CSICAvenida Dr.Wienbergs/n 29750 Algarrobo-CostaMalagaSpain

DORMANCY-ASSOCIATED MADS-BOX(DAM)genes have recently emerged as key potential regulators of the dormancy cycle and climate adaptation in perennial species.Particularly,PpeDAM6 has been proposed to act as a major repressor of bud dormancy release and bud break in peach(Prunus persica).PpeDAM6 expression is downregulated concomitantly with the perception of a given genotype-dependent accumulation of winter chilling time,and the coincident enrichment in H3K27me3 chromatin modification at a specific genomic region.We have identified three peach BASIC PENTACYSTEINE PROTEINs(PpeBPCs)interacting with two GA-repeat motifs present in this H3K27me3-enriched region.Moreover,PpeBPC1 represses PpeDAM6 promoter activity by transient expression experiments.On the other hand,the heterologous overexpression of PpeDAM6 in European plum(Prunus domestica)alters plant vegetative growth,resulting in dwarf plants tending toward shoot meristem collapse.These alterations in vegetative growth of transgenic lines associate with impaired hormone homeostasis due to the modulation of genes involved in jasmonic acid,cytokinin,abscisic acid,and gibberellin pathways,and the downregulation of shoot meristem factors,specifically in transgenic leaf and apical tissues.The expression of many of these genes is also modified in flower buds of peach concomitantly with PpeDAM6 downregulation,which suggests a role of hormone homeostasis mechanisms in PpeDAM6-dependent maintenance of floral bud dormancy and growth repression.

关键词： homeostasis impaired winter

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Integrating Levels of Hierarchical Organization in Porous Organic Molecular Materials

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Nano-Micro Letters 2024年第5期16卷 134-153页

作者： jesus Ferrando‑Soria Antonio Fernandez Instituto de Ciencia Molecular(ICMol) Universidad de Valencia46980 ValenciaSpain School of Science Loughborough UniversityLoughborough LE113TUUK

Porous organic molecular materials(POMMs)are an emergent class of molecular-based materials characterized by the formation of extended porous frameworks,mainly held by non-covalent interactions.POMMs represent a variety of chemical families,such as hydrogen-bonded organic frameworks,porous organic salts,porous organic cages,C-H···πmicroporous crystals,supramolecular organic frameworks,π-organic frameworks,halogen-bonded organic framework,and intrinsically porous molecular materials.In some porous materials such as zeolites and metal organic frameworks,the integration of multiscale has been adopted to build materials with multifunctionality and optimized properties.Therefore,considering the significant role of hierarchy in porous materials and the growing importance of POMMs in the realm of synthetic porous materials,we consider it appropriate to dedicate for the first time a critical review covering both topics.Herein,we will provide a summary of literature examples showcasing hierarchical POMMs,with a focus on their main synthetic approaches,applications,and the advantages brought forth by introducing hierarchy.

关键词： Porous organic molecular materials Hierarchy Hydrogen-bonded organic frameworks Porous cages Fullerene

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Metabolic reprogramming of the inflammatory response in the nervous system:the crossover between inflammation and metabolism

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Neural Regeneration Research 2024年第10期19卷 2189-2201页

作者： jesus Amo-Aparicio Charles A.Dinarello Ruben Lopez-Vales Department of Medicine University of ColoradoAuroraCOUSA Institute of Neurosciences and Department Cell BiologyPhysiology and ImmunologyUniversitat Autònoma de BarcelonaBellaterraSpain Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas(CIBERNED) Instituto de Salud Carlos ⅢSpain

Metabolism is a fundamental process by which biochemicals are broken down to produce energy(catabolism) or used to build macromolecules(anabolism). Metabolism has received renewed attention as a mechanism that generates molecules that modulate multiple cellular responses. This was first identified in cancer cells as the Warburg effect, but it is also present in immunocompetent cells. Studies have revealed a bidirectional influence of cellular metabolism and immune cell function, highlighting the significance of metabolic reprogramming in immune cell activation and effector functions. Metabolic processes such as glycolysis, oxidative phosphorylation, and fatty acid oxidation have been shown to undergo dynamic changes during immune cell response, facilitating the energetic and biosynthetic demands. This review aims to provide a better understanding of the metabolic reprogramming that occurs in different immune cells upon activation, with a special focus on central nervous system disorders. Understanding the metabolic changes of the immune response not only provides insights into the fundamental mechanisms that regulate immune cell function but also opens new approaches for therapeutic strategies aimed at manipulating the immune system.

关键词： central nervous system fatty acid oxidation glycolysis inflammation macrophage metabolism microglia neurodegeneration oxidative phosphorylation

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Predicting the clothing insulation through machine learning algorithms:A comparative analysis and a practical approach

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Building Simulation 2024年第5期17卷 839-855页

作者： Pablo Aparicio-Ruiz Elena Barbadilla-Martin Jose Guadix jesus Munuzuri Grupo de Ingenieria de Organizacion Escuela Tecnica Superior de IngenieriaUniversidad de SevillaCamino de los Descubrimientos S/N41092SevilleSpain

Since indoor clothing insulation is a key element in thermal comfort models,the aim of the present study is proposing an approach for predicting it,which could assist the occupants of a building in terms of recommendations regarding their ensemble.For that,a systematic analysis of input variables is exposed,and 13 regression and 12 classification machine learning algorithms were developed and compared.The results are based on data from 3352 questionnaires and 21 input variables from a field study in mixed-mode office buildings in Spain.Outdoor temperature at 6 a.m.,indoor air temperature,indoor relative humidity,comfort temperature and gender were the most relevant features for predicting clothing insulation.When comparing machine learning algorithms,decision tree-based algorithms with Boosting techniques achieved the best performance.The proposed model provides an efficient method for forecasting the clothing insulation level and its application would entail optimising thermal comfort and energy efficiency.

关键词： clothing insulation simulation adaptive thermal comfort behavioural adaptive actions machine learning

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Survival effects of antibiotic exposure during the larval and adult stages in the West Nile virus vector Culex pipiens

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Insect Science 2024年第2期31卷 542-550页

作者： Marta Garrigos Mario Garrido Manuel Morales-Yuste JosuéMartinez-de la Puente jesus Veiga Faculty of Pharmacy Department of ParasitologyUniversity of GranadaGranadaSpain CIBER de Epidemiologia y Salud Publica(CIBERESP) MadridSpain

The ability of mosquitoes to transmit a pathogen is affected,among other factors,by their survival rate,which is partly modulated by their microbiota.Mosquito microbiota is acquired during the larval phase and modified during their development and adult feeding behavior,being highly dependent on environmental factors.Pharmaceutical residues including antibiotics are widespread pollutants potentially being present in mosquito breeding waters likely affecting their microbiota.Here,we used Culex pipiens mosquitoes to assess the impact of antibiotic exposure during the larval and adult stages on the survival rate of adult mosquitoes.Wild-collected larvae were randomly assigned to two treatments:larvae maintained in water supplemented with antibiotics and control larvae.Emerged adults were subsequently assigned to each of two treatments,fed with sugar solution with antibiotics and fed only with sugar solution(controls).Larval exposure to antibiotics significantly increased the survival rate of adult females that received a control diet.In addition,the effect of adult exposure to antibiotics on the survival rate of both male and female mosquitoes depended on the number of days that larvae fed ad libitum in the laboratory before emergence.In particular,shorter larval ad libitum feeding periods reduced the survival rate of antibiotic-treated adult mosquitoes compared with those that emerged after a longer larval feeding period.These differences were not found in control adult mosquitoes.Our results extend the current understanding of the impact of antibiotic exposure of mosquitoes on a key component of vectorial capacity,that is the vector survival rate.

关键词： antibiotics avian malaria microbiota mosquitoes vector competence vector survival

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Output feedback adaptive super twisting sliding mode control for quadrotor UAVs

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Control Theory and Technology 2024年第1期22卷 92-105页

作者： Oscar Salas-Peña jesus DeLeón-Morales Susana V.Gutiérrez-Martínez École Centrale de Nantes-LS2N UMR 6004 CNRS44300NantesFrance Facultad de Ingeniería Mecánica y Eléctrica Universidad Autónoma de Nuevo León66451San Nicolás de Los GarzaMexico

In this paper, a sliding mode control with adaptive gain combined with a high-order sliding mode observer to solve the tracking problem for a quadrotor UAV is addressed, in presence of bounded external disturbances and parametric uncertainties. The high order sliding mode observer is designed for estimating the linear and angular speed in order to implement the proposed scheme. Furthermore, a Lyapunov function is introduced to design the controller with the adaptation law, whereas an analysis of finite time convergence towards to zero is provided, where sufficient conditions are obtained. Regarding previous works from literature, one important advantage of proposed strategy is that the gains of control are parameterized in terms of only one adaptive parameter, which reduces the control effort by avoiding gain overestimation. Numerical simulations for tracking control of the quadrotor are given to show the performance of proposed adaptive control–observer scheme.

关键词： Adaptive super twisting controller High-order sliding modes observer UAV

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Novel umami peptides from two Termitomyces mushrooms and molecular docking to the taste receptor T1R1/T1R3

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Food Science and Human Wellness 2024年第2期13卷 1055-1064页

作者： Lanyun Zhang Li Zhang jesus Pérez-Moreno Lu Bin Fengming Zhang Fuqiang Yu The Germplasm Bank of Wild Species Yunnan Key Laboratory for Fungal Diversity and Green DevelopmentKunming Institute of BotanyChinese Academy of SciencesKunming 650201China College of Chemical Science and Technology Yunnan UniversityKunming 650091China College of Food Science and Technology Yunnan Agricultural UniversityKunming 650201China Colegio Postgraduados Campus MontecilloEdafologíaTexcoco 56230México Key Laboratory for Forest Resources Conservation and Use in the Southwest Mountains of China Southwest Forestry UniversityKunming 650224China

Wild edible Termitomyces mushrooms are popular in Southwest China and umami is important flavor qualities of edible mushrooms.This study aimed to understand the umami taste of Termitomyces intermedius and Termitomyces aff.bulborhizus.Ten umami peptides from aqueous extracts were separated using a Sephadex G-15 gel filtration chromatography.The intense umami fraction was evaluated by both sensory evaluation and electronic tongue.They were identified as KLNDAQAPK,DSTDEKFLR,VGKGAHLSGEH,MLKKKKLA,SLGFGGPPGY,TVATFSSSTKPDD,AMDDDEADLLLLAM,VEDEDEKPKEK,SPEEKKEEET and PEGADKPNK.Seven peptides,except VEDEDEKPKEK,SPEEKKEEET and PEGADKPNK were selectively synthesized to verify their taste characteristics.All these 10 peptides had umami or salt taste.The 10 peptides were conducted by molecular docking to study their interaction with identified peptides and the umami taste receptor T1R1/T1R3.All these 10 peptides perfectly docked the active residues in the T1R3 subunit.Our results provide theoretical basis for the umami taste and address the umami mechanism of two wild edible Termitomyces mushrooms.

关键词： Termitomyces Non-volatile flavor compounds Umami peptides Taste characteristics Molecular docking

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Personality Trait Detection via Transfer Learning

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Computers, Materials & Continua 2024年第2期78卷 1933-1956页

作者： Bashar Alshouha jesus Serrano-Guerrero Francisco Chiclana Francisco P.Romero Jose A.Olivas Department of Information Technologies and Systems University of Castilla-La ManchaCiudad Real13071Spain Institute of Artificial Intelligence School of Computer Science and InformaticsDe Montfort UniversityThe GatewayLeicesterLE19BHUK

Personality recognition plays a pivotal role when developing user-centric solutions such as recommender systems or decision support systems across various domains,including education,e-commerce,or human resources.Tra-ditional machine learning techniques have been broadly employed for personality trait identification;nevertheless,the development of new technologies based on deep learning has led to new opportunities to improve their performance.This study focuses on the capabilities of pre-trained language models such as BERT,RoBERTa,ALBERT,ELECTRA,ERNIE,or XLNet,to deal with the task of personality recognition.These models are able to capture structural features from textual content and comprehend a multitude of language facets and complex features such as hierarchical relationships or long-term dependencies.This makes them suitable to classify multi-label personality traits from reviews while mitigating computational costs.The focus of this approach centers on developing an architecture based on different layers able to capture the semantic context and structural features from texts.Moreover,it is able to fine-tune the previous models using the MyPersonality dataset,which comprises 9,917 status updates contributed by 250 Facebook users.These status updates are categorized according to the well-known Big Five personality model,setting the stage for a comprehensive exploration of personality traits.To test the proposal,a set of experiments have been performed using different metrics such as the exact match ratio,hamming loss,zero-one-loss,precision,recall,F1-score,and weighted averages.The results reveal ERNIE is the top-performing model,achieving an exact match ratio of 72.32%,an accuracy rate of 87.17%,and 84.41%of F1-score.The findings demonstrate that the tested models substantially outperform other state-of-the-art studies,enhancing the accuracy by at least 3%and confirming them as powerful tools for personality recognition.These findings represent substantial advancements in personality recognition,making th

关键词： Personality trait detection pre-trained language model big five model transfer learning

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Epidemiologic investigation of pediatric distal humerus fractures: An American insurance claims database study

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World Journal of Orthopedics 2024年第1期15卷 52-60页

作者： Kyle Jay Klahs Jake E Dertinger Grant T Mello Kevin Thapa Alexis B Sandler E'Stephan J jesus Garcia Nata Parnes Department of Orthopaedic Surgery Texas Tech University Health Sciences-El PasoEl PasoTX 79905United States Medical School California Health Sciences University College of Osteopathic MedicineClovisCA 93611United States Undergraduate School Binghampton UniversityVestalNY 13902United States Department of Orthopaedic Surgery William Beaumont Army Medical CenterFort BlissTX 79918United States Department of Orthopaedic Surgery Carthage Area HospitalCarthageNY 13619United States

BACKGROUND Distal humerus elbow fractures are one of the most common traumatic fractures seen in pediatric patients and present as three main types:Supracondylar(SC),lateral condyle(LC),and medial epicondyle(ME)fractures.AIM To evaluate the epidemiology of pediatric distal humerus fractures(SC,LC,and ME)from an American insurance claims database.METHODS A retrospective review was performed on patients 17 years and younger with the ICD 9 and 10 codes for SC,LC and ME fractures based on the IBM Truven MarketScan®Commercial and IBM Truven MarketScan Medicare Supplemental databases.Patients from 2015 to 2020 were queried for treatments,patient age,sex,length of hospitalization,and comorbidities.RESULTS A total of 1133 SC,154 LC,and 124 ME fractures were identified.SC fractures had the highest percentage of operation at 83%,followed by LC(78%)and ME fractures(41%).Male patients were,on average,older than female patients for both SC and ME fractures.CONCLUSION In the insurance claims databases used,SC fractures were the most reported,followed by LC fractures,and finally ME fractures.Age was identified to be a factor for how a pediatric distal humerus fractures,with patients with SC and LC fractures being younger than those with ME fractures.The peak age per injury per sex was similar to reported historic central tendencies,despite reported trends for younger physiologic development.

关键词： Supracondylar humerus fracture Lateral condyle fracture Medial epicondyle fracture Pediatric elbow Truven Epidemiology

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Application of a Pulsed Electric Field to Modify the Free Energy of the Active Site of an Azoreductase

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Journal of Applied Mathematics and Physics 2024年第1期12卷 249-255页

作者： jesus Magyber de jesus Miranda Pedro Guillermo Reyes-Romero Jorge Mulia-Rodríguez Daniel Osorio-González Molecular Biophysics Laboratory Faculty of Sciences Autonomous University of State of Mexico Toluca Mexico Advanced Physics Laboratory Faculty of Sciences Autonomous University of State of Mexico Toluca Mexico

The Gibbs free energy is strongly related to the stability and catalytic function of an enzyme through the energetic changes that occur in the chemical reactions the enzyme catalyzes. In this in silico study, a pulsed electric field was applied to an azoreductase, and its effect on the Gibbs free energy of molecular docking with two dyes was measured. We propose that certain stimuli from a pulsed electric field favor the structural stability of the enzyme by promoting an arrangement in the active site, potentially leading to an enhancement of enzymatic activity overall.

关键词： Pulsed Electric Field Molecular Dynamics Docking Azoreductase

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