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Promotion of structural plasticity in area V2 of visual cortex prevents against object recognition memory deficits in aging and Alzheimer's disease rodents

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Neural Regeneration Research 2024年第8期19卷 1835-1841页

作者： Irene Navarro-lobato Mariam Masmudi-Martín Manuel F.lópez-Aranda Juan F.lópez-Téllez Gloria Delgado pablo Granados-Durán Celia Gaona-Romero Marta Carretero-Rey Sinforiano Posadas María E.Quiros-Ortega Zafar U.Khan laboratory of Neurobiology Centro de Investigaciones Médico Sanitarias(CIMES)University of MalagaMalagaSpain Department of Medicine Faculty of MedicineUniversity of MalagaMalagaSpain Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas(CIBERNED) Institute of Health Carlos IIIMadridSpain the Donders Institute for Brain Cognition and Behaviour Radboud UniversityNijmegenThe Netherlands the Brain Metastasis Group National Cancer Research Centre(CNIO)MadridSpain the Department of Neurobiology University of California-Los AngelesLos AngelesCAUSA

Memory deficit,which is often associated with aging and many psychiatric,neurological,and neurodegenerative diseases,has been a challenging issue for *** till now,all potential drug candidates have failed to produce satisfa ctory ***,in the search for a solution,we found that a treatment with the gene corresponding to the RGS14414protein in visual area V2,a brain area connected with brain circuits of the ventral stream and the medial temporal lobe,which is crucial for object recognition memory(ORM),can induce enhancement of *** this study,we demonstrated that the same treatment with RGS14414in visual area V2,which is relatively unaffected in neurodegenerative diseases such as Alzheimer s disease,produced longlasting enhancement of ORM in young animals and prevent ORM deficits in rodent models of aging and Alzheimer’s ***,we found that the prevention of memory deficits was mediated through the upregulation of neuronal arbo rization and spine density,as well as an increase in brain-derived neurotrophic factor(BDNF).A knockdown of BDNF gene in RGS14414-treated aging rats and Alzheimer s disease model mice caused complete loss in the upregulation of neuronal structural plasticity and in the prevention of ORM *** findings suggest that BDNF-mediated neuronal structural plasticity in area V2 is crucial in the prevention of memory deficits in RGS14414-treated rodent models of aging and Alzheimer’s ***,our findings of RGS14414gene-mediated activation of neuronal circuits in visual area V2 have therapeutic relevance in the treatment of memory deficits.

关键词： behavioral performance brain-derived neurotrophic factor cognitive dysfunction episodic memory memory circuit activation memory deficits memory enhancement object recognition memory prevention of memory loss regulator of G protein signaling

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The Iberian Roma Population Variant Server(IRPVS)

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Journal of Genetics and Genomics 2024年第7期51卷 769-773页

作者： Fabiola Mavillard Javier Perez-Florido Francisco M.Ortuño Amador Valladares Miren l.Álvarez-Villegas Gema Roldán Rosario Carmona Manuel Soriano Santiago Susarte Pilar Fuentes Daniel lópez-lópez Ana María Nuñez-Negrillo Alejandra Carvajal Yolanda Morgado Daniel Arteaga Rosa Ufano pablo Mir Juan F.Gamella Joaquín Dopazo Carmen Paradas Macarena Cabrera-Serrano Instituto de Biomedicina de Sevilla(IBiS) Hospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaSevillaSpain Centro Investigación Biomédica en Red Enfermedades Neurodegenerativas(CIBERNED) Instituto de Salud CarlosⅢSevillaSpain Plataforma Andaluza de Medicina Computacional Fundación Progreso y Salud(FPS)Hospital Virgen del RocíoSevillaSpain Grupo de medicina computacional de sistemas Instituto de Biomedicina de Sevilla(IBiS)Hospital Virgen del RocíoSevillaSpain Nodo de Genómica Funcional (INB-ELIXIR-es)Fundación Progreso y Salud(FPS)Hospital Virgen del RocíoSevilla 41013Spain Bioinformática en Enfermedades raras(BiER) Centro de Investigación Biomédica en Red de Enfermedades Raras(CIBERER)Instituto de salud CarlosⅢSevillaSpain Departamento de Ingeniería de Computadores Automática y RobóticaUniversidad de GranadaGranadaSpain Servicio de Urgencias de Atención Primaria Distrito SevillaSevillaSpain Centro de Servicios Sociales Negociado de Servicios EspecializadosAyuntamiento de SevillaSevillaSpain Departamento de Enfermería Facultad de Ciencias de la SaludUniversidad de GranadaGranadaSpain Departamento de Neurología Hospital Virgen de las NievesGranadaSpain Departamento de Neurología Hospital Virgen de ValmeSevillaSpain Centro de Salud Utrera Sur SevillaSpain Centro de Salud Polígono Sur SevillaSpain Unidad de Trastornos del Movimiento Servicio de Neurología y Neurofisiología ClínicaHospital Universitario Virgen del RocíoSevillaSpain Departamento de Medicina Facultad de MedicinaUniversidad de SevillaSevilleSpain Departamento de Antropología Social Universidad de GranadaSpain Unidad Enfermedades Neuromusculares Servicio de Neurología y Neurofisiología ClínicaHospital Universitario Virgen del RocíoSevillaSpain

In recent years,the number of known disease genes has exponentially grown due to the widespread adoption of cost-effective massive parallel *** identify new disease variants,especially in monogenic disorders,a frequen... 详细信息

关键词： Server filtering massive

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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 *** that,a systematic analysis of input variables is exposed,and 13 regression and 12 classification machine learning algorithms were developed and *** results are based on data from 3352 questionnaires and 21 input variables from a field study in mixed-mode office buildings in *** temperature at 6 a.m.,indoor air temperature,indoor relative humidity,comfort temperature and gender were the most relevant features for predicting clothing *** comparing machine learning algorithms,decision tree-based algorithms with Boosting techniques achieved the best *** 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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A comprehensive comparison of different regression techniques and nature-inspired optimization algorithms to predict carbonation depth of recycled aggregate concrete

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Frontiers of Structural and Civil Engineering 2024年第1期18卷 30-50页

作者： Bin XI Ning ZHANG Enming lI Jiabin lI Jian ZHOU pablo SEGARRA Department of Civil and Environmental Engineering Politecnico Di MilanoMilano 20133Italy leibniz Institute of Ecological Urban and Regional Development(IOER) Dresden 01217Germany Universidad Politécnica de Madrid-ETSI Minas y Energía Madrid 28003Spain Department of Civil Engineering KU Leuven CampusBrugge 8200Belgium School of Resources and Safety Engineering Central South UniversityChangsha 410083China

The utilization of recycled aggregates(RA)for concrete production has the potential to offer substantial environmental and economic ***,RA concrete is plagued with considerable durability concerns,particularly *** advance the application of RA concrete,the establishment of a reliable model for predicting the carbonation is *** the one hand,concrete carbonation is a long and slow process and thus consumes a lot of time and energy to *** the other hand,carbonation is influenced by many factors and is hard to *** this,this paper proposes the use of machine learning techniques to establish accurate prediction models for the carbonation depth(CD)of RA *** types of regression techniques and meta-heuristic algorithms were employed to provide more alternative predictive *** was found that the best prediction performance was obtained from extreme gradient boosting-multi-universe optimizer(XGB-MVO)with R^(2) value of 0.9949 and 0.9398 for training and testing sets,***-MVO was used for evaluating physical laws of carbonation and it was found that the developed XGB-MVO model could provide reasonable predictions when new data were *** also showed better generalization capabilities when compared with different models in the ***,this paper emphasizes the need for sustainable solutions in the construction industry to reduce its environmental impact and contribute to sustainable and low-carbon economies.

关键词： recycled aggregate concrete carbonation depth nature-inspired optimization algorithms extreme gradient boosting technique parametric analysis

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Quality evaluation of Nothofagus pumilio seeds linked to forest management and climatic events

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Ecological Processes 2024年第1期13卷 98-107页

作者： Julian Rodríguez-Souilla Jimena E.Chaves María Vanessa lencinas Juan Manuel Cellini Fidel A.Roig pablo l.Peri Guillermo Martinez Pastur laboratorio de Recursos Agroforestales Centro Austral de Investigaciones Científicas (CADIC) Consejo Nacional de Investigaciones Científicas y Técnicas(CONICET ) laboratorio de Investigaciones en Maderas (lIMAD) Universidad Nacional de la Plata (UNLP) Instituto Argentino de Nivología Glaciología y Ciencias Ambientales (IAN-IGLA) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Instituto Nacional de Tecnología Agropecuaria (INTA) Universidad Nacional de la Patagonia Austral (UNPA) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET )

Background Forest ecosystems undergo significant transformations due to harvesting and climate fluctuations, emphasizing the critical role of seeding in natural regeneration and long-term structural preservation. Climate change further amplifies these dynamics, affecting phenology across species and regions. In Tierra del Fuego(Argentina), Nothofagus pumilio(lenga) forests represent the most important timber resource, and it is managed through different silvicultural strategies. This species demonstrates notable post-disturbance regeneration, yet seed fall exhibits signifi-cant variability, leading to variations in seed quality(e.g., viability). This study aims to assess fluctuations in N. pumilio seed quality, determine how it varies concerning forest management strategies, annual productivity, and the co-occurrence of climatic phenomena including El Ni?o-Southern Oscillation(ENSO) and the Southern Annular Mode(SAM).Results Viable seeds represented 18.4% of the total, notably higher in unharvested than in managed areas. Con-versely, empty seeds were more prevalent in harvested areas(> 75%). Seed quality exhibited significant differences across silvicultural treatments, except for insect-predated seeds, which had similar proportions across all areas, though dispersed retention showed higher predation. When considering years with varying production levels, high-production years favoured full and viable seeds, particularly in unharvested forests and aggregated retention, while low-production years saw reduced viability across all treatments. Quadratic models revealed that viability increased with seed production, where unharvested forests achieved the highest values. Climate variability influenced seed proportions, where ENSO+/SAM+ promoting more full and viable seeds, while ENSO–/SAM+ favoured non-predated seeds, especially in unharvested *** Seed quality varies among treatments and years with different levels of seeding. Variations in seed qual-ity, l

关键词： Forest management Seeding Climate change Extreme event Patagonia

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Spatial and temporal patterns of forest fires in the Central Monte:relationships with regional climate

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Ecological Processes 2024年第01期13卷 66-79页

作者： pablo Eugenio Villagra Erica Cesca leandro Manuel Alvarez Silvia Delgado Ricardo Villalba Instituto Argentino de Nivología Glaciología y Ciencias Ambientales–CONICET-CCT Mendoza Facultad de Ciencias Agrarias Universidad Nacional de Cuyo

Background Natural and anthropogenic wildfires burn large areas of arid and semi-arid forests with significant socio-economic and environmental impacts. Fire regimes are controlled by climate, vegetation type, and anthropogenic factors such as ignition sources and human-induced disturbances. Projections of climate and land-use change suggest that these controlling factors will change, altering fire regimes in the near future. In the southern Central Monte, Mendoza, Argentina, the factors that modulate the fire temporal and spatial variability are poorly understood. We reconstructed the fire history of southeast of Mendoza from 1984 to 2023 and investigated the relationships between fire extent and climate variability at seasonal and interannual scales. Burned areas were determined using Google Earth Engine by processing landsat 5-TM, landsat 7-ETM+, and landsat 8-OlI-TIRS sensor *** The region exhibited high spatial and temporal variability in fire occurrence, being a mosaic of areas with different fire histories and recovery times. Between 1985 and 2023, fire recurrence ranged from sites unburned to sites with up to 14 fires. The occurrence of large fires was strongly favored by a combination of a year with abundant spring–early summer precipitation, which favors fuel accumulation, followed by a year of low spring–early summer precipitation. Precipitation and burnt area showed a very pronounced 6–7 year cycle, suggesting a dominant climatic control on fire *** Fire distribution in southeastern Mendoza forests is not homogeneous, resulting in a mosaic of patches with different fire histories. This heterogeneity may be related to vegetation patterns and land use. The temporal variability of fires is strongly influenced by climate variability, which would promote fuel production and subsequent drying. large fires are concentrated in periods of high interannual precipitation variability. Climate change scenarios predict an increase in tem

关键词： Fire recurrence Fire mapping Recovery time Climate Dry forest Wildfire

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Soil organic carbon stocks in native forest of Argentina:a useful surrogate for mitigation and conservation planning under climate variability

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Ecological Processes 2024年第1期13卷 3-24页

作者： pablo l.Peri Juan Gaitán Matías Mastrangelo Marcelo Nosetto pablo E.Villagra Ezequiel Balducci Martín Pinazo Roxana P.Eclesia Alejandra Von Wallis Sebastián Villarino Francisco Alaggia Marina González Polo Silvina Manrique pablo A.Meglioli Julián Rodríguez-Souilla Martín Mónaco Jimena E.Chaves Ariel Medina Ignacio Gasparri Eugenio Alvarez Arnesi María Paula Barral Axel von Müller Norberto M.Pahr Josefina Uribe Echevarria Pedro Fernández Marina Morsucci Dardo lópez Juan Manuel Cellini leandro Alvarez Ignacio Barberis Hernán Colomb ludmila la Manna Sebastián Barbaro Cecilia Blundo Ximena Sirimarco laura Cavallero Gualberto Zalazar Guillermo Martínez Pastur Instituto Nacional de Tecnología Agropecuaria (INTA) Universidad Nacional de la Patagonia Austral (UNPA) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Universidad Nacional de luján Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Grupo de Estudio de Agroecosistemas y Paisajes Rurales (GEAP) Universidad Nacional de Mar del Plata Consejo Nacional de Investigaciones Científicas y Técnicas(CONICET ) CCT San luis Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Instituto Argentino de Nivología Glaciología y Ciencias Ambientales (IANIGLA) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Universidad Nacional de Cuyo Instituto de Investigaciones en Biodiversidad y Medioambiente (INIBIOMA) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Instituto de Investigaciones en Energía No Convencional CCT Salta-JujuyConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) laboratorio de Recursos Agroforestales Centro Austral de Investigaciones Científicas (CADIC) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Dirección Nacional de Bosques Ministerio de Ambiente y Desarrollo Sostenible de la Nación Instituto de Ecología Regional Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET )Universidad Nacional de Tucumán Universidad Nacional de Rosario Instituto de Investigaciones en Ciencias Agrarias de Rosario Centro Científico Tecnológico CONICET Grupo de Estudio de Agroecosistemas y Paisajes Rurales (GEAP) Universidad Nacional de Mar del Plata Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) laboratorio de Investigaciones en Maderas (lIMAD) Universidad Nacional de La Plata (UNLP) Administración de Parques Nacionales (APN) Parque Nacional Los Alerces Centro de Estudios Ambientales Integrados (CEAI) Universidad Nacional de la Patagonia San Juan Bosco (UNPASJB) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET )

Background The nationally determined contribution（NDC） presented by Argentina within the framework of the Paris Agreement is aligned with the decisions made in the context of the United Nations Framework Conven-tion on Climate Change（UNFCCC） on the reduction of emissions derived from deforestation and forest degradation, as well as forest carbon conservation（REDD+）. In addition, climate change constitutes one of the greatest threats to forest biodiversity and ecosystem services. However, the soil organic carbon（SOC） stocks of native forests have not been incorporated into the Forest Reference Emission levels calculations and for conservation planning under cli-mate variability due to a lack of information. The objectives of this study were:（i） to model SOC stocks to 30 cm of native forests at a national scale using climatic, topographic and vegetation as predictor variables, and（ii） to relate SOC stocks with spatial–temporal remotely sensed indices to determine biodiversity conservation concerns due to threats from high inter-annual climate *** We used 1040 forest soil samples（0–30 cm） to generate spatially explicit estimates of SOC native forests in Argentina at a spatial resolution of approximately 200 m. We selected 52 potential predictive environmental covari-ates, which represent key factors for the spatial distribution of SOC. All covariate maps were uploaded to the Google Earth Engine cloud-based computing platform for subsequent modelling. To determine the biodiversity threats from high inter-annual climate variability, we employed the spatial–temporal satellite-derived indices based on Enhanced Vegetation Index（EVI） and land surface temperature（lST） images from landsat *** SOC model（0–30 cm depth） prediction accounted for 69% of the variation of this soil property across the whole native forest coverage in Argentina. Total mean SOC stock reached 2.81 Pg C（2.71–2.84 Pg C with a probability of 90%） for a total area of 460,790 km2,

关键词： Soil organic carbon Biodiversity Native forest Climate change mitigation Modelling Resilience

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Supervised vs home-based exercise program in kidney transplant recipients: A pilot pragmatic non-randomized study

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World Journal of Transplantation 2024年第4期14卷 123-132页

作者： Anna Crepaldi Giovanni Piva Nicola lamberti Michele Felisatti luca Pomidori Yuri Battaglia Fabio Manfredini Alda Storari pablo Jesús lópez-Soto Unit of Nephrology University Hospital of FerraraFerrara 44121Emilia-RomagnaItaly Department of Nursing Instituto Maimónides de Investigación Biomédica de CórdobaCordoba 14004AndalusiaSpain Department of Neuroscience and Rehabilitation University of FerraraFerrara 44121Emilia-RomagnaItaly Esercizio Vita Medical Fitness Ferrara 44124Emilia-RomagnaItaly Department of Medicine University of VeronaVerona 37100VenetoItaly Department of Nursing Maimonides Biomedical Research Institute of CordobaUniversity of CordobaReina Sofía University HospitalCordoba 14004AndalusiaSpain

BACKGROUND Although the benefits of exercise for kidney transplant recipients(KTRs)have been widely demonstrated,these patients experience several barriers in undertaking a structured exercise program in hospital and non-hospital *** To compare the effects of a supervised moderate-intensity gym-based intervention with a home-based low-intensity walking program on exercise capacity in *** KTRs were asked to choose between two six-month *** first group performed a low-intensity interval walking intervention at home-based exercise intervention (HBex). The second group performed a supervised training program at an adapted physical activitygym (Sgym), including aerobic and resistance training. The outcomes, collected at baseline and at the end of theprograms, included the 6-minute walking test, the peak oxygen consumption (VO_(2)peak) during a treadmill test,the 5-time sit-to-stand test, and blood *** patients agreed to participate and self-selected into the HBex (n = 9) and Sgym (n = 8) groups. Twopatients in the Sgym group dropped out because of familial problems. At baseline, patients in the HBex group weresignificantly older and had lower walking distance, VO_(2)peak, and lower limb strength. Primary outcome changeswere significantly greater in the HBex group than in the Sgym group (52 ± 23 m vs 8 ± 34;P = 0.005). No othersignificant differences between groups were observed. Both groups improved most of the outcomes in the withingroupcomparisons, with significant variations in VO_(2) ***-month moderate-intensity supervised or low-intensity home-based training programs effectively improvedexercise capacity in KTRs. Gym-based programs combine aerobic and resistance training;however, in-homewalking may be proposed for frail KTRs.

关键词： Exercise Transplantation Walking Training Nephrology Kidney disease

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Influence of Angiotensin II on α₁-Adrenergic Receptors Function in Rat Aorta and Expression in Vascular Smooth Muscle Cells

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Journal of Biosciences and Medicines 2024年第4期12卷 123-134页

作者： Itzell Alejandrina Gallardo-Ortíz Juan pablo de Jesús Benítez-Garrido Santiago C. Sigrist-Flores Juan Javier lópez-Guerrero Enrique Hong Rafael Villalobos-Molina Unidad de Biomedicina Facultad de Estudios Superiores Iztacala Universidad Nacional Aut&#243noma de M&#233xico Tlalnepantla M&#233xico Carrera de Enfermerí a Facultad de Estudios Superiores Iztacala Universidad Nacional Aut&#243noma de M&#233xico Tlalnepantla M&#233xico Departamento de Farmacobiologí a Centro de Investigaci&#243n and de Estudios Avanzados-IPN Ciudad de M&#233xico M&#233xico Carrera de Mé dico Cirujano Facultad de Estudios Superiores Iztacala Universidad Nacional Aut&#243noma de M&#233xico Tlalnepantla M&#233xico

Angiotensin II (Ang II) is the main mediator of the Renin-Angiotensin-System acting on AT1 and other AT receptors. It is regarded as a pleiotropic agent that induces many actions, including functioning as a growth factor, and as a contractile hormone, among others. The aim of this work was to examine the impact of Ang II on the expression and function of α1-adrenergic receptors (α1-ARs) in cultured rat aorta, and aorta-derived smooth muscle cells. Isolated Wistar rat aorta was incubated for 24 h in DMEM at 37˚C, then subjected to isometric tension and to the action of added norepinephrine, in concentration-response curves. Ang II was added (1 × 10−5 M), and in some experiments, 5-Methylurapidil (α1A-AR antagonist), AH11110A (α1B-AR antagonist), or BMY-7378 (α1D-AR antagonist), were used to identify the α1-AR involved in the response. Desensitization of the contractile response to norepinephrine was observed due to incubation time, and by the Ang II action. α1D-AR was protected from desensitization by BMY-7378;while RS-100329 and prazosin partially mitigated desensitization. In another set of experiments, isolated aorta-derived smooth muscle cells were exposed to Ang II and α1-ARs proteins were evaluated. α1D-AR increased at 30 and 60 min post Ang II exposure, the α1A-AR diminished from 1 to 4 h, while α1B-AR remained unchanged over 24 h of Ang II exposure. Ang II induced an increase of α1D-AR at short times, and BMY-7378 protected α1D-AR from desensitization.

关键词： Angiotensin II α1D-AR α1-AR Expression Rat aorta Smooth Muscle Cells

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Prevalence and ecological factors affecting the distribution of plant-parasitic nematodes in Prunus groves in Spain

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Journal of Integrative Agriculture 2024年第2期23卷 566-589页

作者： Ilenia Clavero-Camacho Antonio Archidona-Yuste Carolina Cantalapiedra-Navarrete pablo Castillo Juan Emilio Palomares-Rius Institute for Sustainable Agriculture(IAS) Spanish National Research Council(CSIC)Córdoba 14004Spain Andalusian Institute of Agricultural and Fisheries Research and Training(IFAPA) Centro Alameda del ObispoCórdoba 14004Spain

A wide survey was conducted to study plant-parasitic nematodes(PPNs)associated with Prunus groves in *** research aimed to determine the prevalence and distribution of PPNs in Prunus groves,as well as the influence of explanatory variables describing soil,climate and agricultural management in structuring the variation of PPNs community composition.A total of 218 sampling sites were surveyed and 84 PPN species belonging to 32 genera were identified based of an integrative taxonomic *** species considered as potential limiting factors in Prunus production,such as Meloidogyne arenaria,***,***,Pratylenchus penetrans and ***,were identified in this *** soil physico-chemical(C,Mg,N,Na,OM,P,pH and clay,loamy sand and sandy loam texture classes),four climate(Bio04,Bio05,Bio13 and Bio14)and four agricultural management variables(grove-use history less than 10 years,irrigation,apricot seedling rootstock,and Montclar rootstock)were identified as the most influential variables driving spatial patterns of PPNs *** particular,younger plantations showed higher values for species richness and diversity indices than groves cultivated for more than 20 years with Prunus *** study increases the knowledge of the distribution and prevalence of PPNs associated with Prunus rhizosphere,as well as on the influence of explanatory variables driving the spatial structure PPNs communities,which has important implications for the successful design of sustainable management strategies in the future in this agricultural system.

关键词： nematodes Meloidogyne Pratylenchus Paratylenchus rootstock distribution soil grove-use almond peach

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