Addressing energy challenges in Iraq: Forecasting power supply and demand using artificial intelligence models.

The global surge in energy demand, driven by technological advances and population growth, underscores the critical need for effective management of electricity supply and demand. In certain developing nations, a significant challenge arises because the energy demand of their population exceeds their capacity to generate, as is the case in Iraq. This study focuses on energy forecasting in Iraq, using a previously unstudied dataset from 2019 to 2021, sourced from the Iraqi Ministry of Electricity. The study employs a diverse set of advanced forecasting models, including Linear Regression, XGBoost, Random Forest, Long Short-Term Memory, Temporal Convolutional Networks, and Multi-Layer Perceptron, evaluating their performance across four distinct forecast horizons (24, 48, 72, and 168 hours ahead). Key findings reveal that Linear Regression is a consistent top performer in demand forecasting, while XGBoost excels in supply forecasting. Statistical analysis detects differences in models performances for both datasets, although no significant differences are found in pairwise comparisons for the supply dataset. This study emphasizes the importance of accurate energy forecasting for energy security, resource allocation, and policy-making in Iraq. It provides tools for decision-makers to address energy challenges, mitigate power shortages, and stimulate economic growth. It also encourages innovative forecasting methods, the use of external variables like weather and economic data, and region-specific models tailored to Iraq's energy landscape. The research contributes valuable insights into the dynamics of electricity supply and demand in Iraq and offers performance evaluations for better energy planning and management, ultimately promoting sustainable development and improving the quality of life for the Iraqi population.

Influence of Escherichia coli lipopolysaccharide-induced endotoxemia on plasma and tissue disposition of florfenicol after intramuscular administration in rabbits.

To assess the effects of the acute inflammatory response (AIR) induced by Escherichia coli lipopolysaccharide (LPS) on plasma and tissue disposition of florfenicol (FFC) and its metabolite florfenicol amine (FFC-a), after its intramuscular (IM) administration, twenty-two New Zealand rabbits were randomly distributed in two experimental groups: Group 1 (LPS) was treated with three intravenous doses of 2 µg LPS/kg bw, before an intramuscular dose of 20 mg/kg FFC twenty-four h after the first LPS or SS injection; Group 2 (Control) was treated with saline solution (SS) in equivalent volumes as LPS-treated group. Blood samples were collected before (T0) and at different times after FFC administration. Acute inflammatory response was assessed in a parallel study where significant increases in body temperature, C-reactive protein concentrations and leukopenia were observed in the group treated with LPS. In another two groups of rabbits, 4 h after FFC treatment, rabbits were euthanized and tissue samples were collected for analysis of FFC and FFC-a concentrations. Pharmacokinetic parameters of FFC that showed significantly higher values in LPS-treated rabbits compared with control rabbits were absorption half-life, area under the curve, mean residence time and clearance /F (Cl/F). Elimination half-life and mean residence time of FFC-a were significantly higher in LPS-treated rabbits, whereas the metabolite ratio of FFC-a decreased significantly. Significant differences in tissue distribution of FFC and FFC-a were observed in rabbits treated with LPS. Modifications in plasma and tissue disposition of FFC and FFC-a were attributed mainly to haemodynamic modifications induced by the AIR through LPS administration.

Anxiety, emotions and threat perception in COVID-19 context: differences between Spanish teachers and students

Introduction: Our study compares the emotional impact of the first month of the lockdown on teachers and students due to the COVID-19 pandemic in Spain, focusing on the variables of generalized anxiety, emotions, and perceived threat. Method: A non experimental design was applied, the sample consists of 452 participants (teachers = 188, young adult students = 264. Correlation analyses, a between-group design and effect size were carried out. Results: The results indicated that in crises or emergencies such as COVID-19, teachers and students have different emotional reactions. Students showed more generalized anxiety symptoms, more negative emotions, and fewer positive emotions. Teachers showed a higher degree of existential anxiety. Conclusion: Specific action plans should be developed for teachers and students. In addition, educational policies and teacher training programs should take the gender perspective into account when studying and planning a resilient educational system.

Introducción: Nuestro estudio compara el impacto emocional, entre profesores y estudiantes, durante el primer mes de cuarentena en España debido a la COVID-19, centrándonos en la ansiedad generalizada, emociones y percepción de amenaza. Método: Se aplicó un diseño no experimental, donde participaron 452 personas (profesores = 188, estudiantes adultos jóvenes = 264). Se realizaron análisis de correlación, diseños entre-grupos y tamaño del efecto. Resultados: Los resultados indican que durante crisis o emergencias como la COVID-19, los profesores y estudiantes tienen diferentes reacciones emocionales. Los estudiantes mostraron mayores síntomas de ansiedad generalizada, más emociones negativas y menos emociones positivas. Los profesores mostraron tener un alto grado de ansiedad existencial. Conclusión: Planes de acción específica deberían desarrollarse por separado para profesores y estudiantes. Además, las políticas educativas y los programas de formación de profesorado, deberían tener una perspectiva de género al estudiar y planificar un sistema educativo resiliente.

The nature and chronology of human occupation at the Galerías Bajas, from Cueva de Ardales, Malaga, Spain.

The Cueva de Ardales is a hugely important Palaeolithic site in the south of the Iberian Peninsula owing to its rich inventory of rock art. From 2011-2018, excavations were carried out in the cave for the first time ever by a Spanish-German research team. The excavation focused on the entrance area of the cave, where the largest assemblage of non-figurative red paintings in the cave is found. A series of 50 AMS dates from the excavations prove a long, albeit discontinuous, occupation history spanning from the Middle Palaeolithic to the Neolithic. The dating of the Middle Palaeolithic layers agrees with the U/Th dating of some red non-figurative paintings in the entrance area. In addition, a large assemblage of ochre lumps was discovered in the Middle Palaeolithic layers. Human visits of the cave in the Gravettian and Solutrean can be recognized, but evidence from the Aurignacian and Magdalenian cannot be confirmed with certainty. The quantity and nature of materials found during the excavations indicate that Cueva de Ardales was not a campsite, but was mainly visited to carry out non-domestic tasks, such as the production of rock art or the burial of the dead.

Statistically Representative Metrology of Nanoparticles via Unsupervised Machine Learning of TEM Images.

The morphology of nanoparticles governs their properties for a range of important applications. Thus, the ability to statistically correlate this key particle performance parameter is paramount in achieving accurate control of nanoparticle properties. Among several effective techniques for morphological characterization of nanoparticles, transmission electron microscopy (TEM) can provide a direct, accurate characterization of the details of nanoparticle structures and morphology at atomic resolution. However, manually analyzing a large number of TEM images is laborious. In this work, we demonstrate an efficient, robust and highly automated unsupervised machine learning method for the metrology of nanoparticle systems based on TEM images. Our method not only can achieve statistically significant analysis, but it is also robust against variable image quality, imaging modalities, and particle dispersions. The ability to efficiently gain statistically significant particle metrology is critical in advancing precise particle synthesis and accurate property control.

COVID-19. Effect of Moral Messages to Persuade the Population to Stay at Home in Spain, Chile, and Colombia.

Analyze whether the content of three moral messages (deontological, ethical utilitarianism, ethical virtue) and a control message differentially affect the probability of engaging in four behaviors: Washing their hands, participating in public gatherings, staying at home/avoiding social contact, and forwarding the message to inform more people. In our study, the sender of the message is a university professor. These variables are measured in terms of their behavioral intentions and others' behavioral intentions (beliefs about others' behavior). Randomized Controlled Trial. Our study includes the analysis of the possible moderating effect of the country of residence (Spain n = 1,122, Chile n = 1,107, and Colombia n = 1,433). The message with content referring to ethical virtue and staying at home obtains statistically significant lower scores on the probability of carrying out public health behaviors and sharing the message received. Regarding beliefs about the behavior of others, the message of ethical virtue has the same negative effect, but only on the likelihood of other people washing their hands, staying at home, and sharing the public health message. Institutional messages aimed at promoting public health behaviors are necessary in a pandemic situation. Our recommendation is to use deontological and utilitarian, or non-moral, content.

Psychometric properties and factorial invariance of the satisfaction with life scale in Latino immigrants in Chile, Spain, and United States / Propiedades psicométricas e invarianza factorial de la escala de satisfacción con la vida en inmigrantes latinos en Chile, España y EEUU

Abstract: Background: Satisfaction with Life Scale (SWLS) is the most widely used instrument to assess subjective well-being in different populations. Aim: The purpose of the present investigation was to evaluate the psychometric properties and the factorial invariance of the SWLS in Latino immigrants living in Chile, Spain, and the United States. Method: A total of 663 participants over the age of 18 and who have lived in the host country for more than a year participated. Results: The results provide evidence of good internal consistency through Cronbach's alpha and McDonald's omega. Also, there is evidence for the unifactorial structure of the instrument through confirmatory factor analysis and its invariance at the configural, metric, and scalar. Conclusions: It is concluded that SWLS is an invariant and reliable measure to study life satisfaction in Latino immigrants in western countries.

Resumen: Antecedentes: La escala de Satisfacción con la Vida (SWLS) es el instrumento más utilizado para evaluar el bienestar subjetivo en distintas poblaciones. Objetivo: El propósito de la presente investigación fue evaluar las propiedades psicométricas y la invarianza factorial de la SWLS en inmigrantes latinos que viven en Chile, España y EEUU. Método: Participaron un total de 663 inmigrantes latinos mayores de 18 años y que llevan más de un año viviendo en el país de acogida. Resultados: Los resultados entregan evidencia de una buena consistencia interna a través del alfa de Cronbach y el omega de McDonald, también se provee soporte a la estructura unifactorial del instrumento mediante un análisis factorial confirmatorio y finalmente se prueba que la escala es invariante a nivel configural, métrico y escalar. Conclusión: Se concluye que la SWLS es una medida invariante y fiable para estudiar la satisfacción con la vida en inmigrantes latinos en países occidentales.

An Experimental Review on Deep Learning Architectures for Time Series Forecasting.

In recent years, deep learning techniques have outperformed traditional models in many machine learning tasks. Deep neural networks have successfully been applied to address time series forecasting problems, which is a very important topic in data mining. They have proved to be an effective solution given their capacity to automatically learn the temporal dependencies present in time series. However, selecting the most convenient type of deep neural network and its parametrization is a complex task that requires considerable expertise. Therefore, there is a need for deeper studies on the suitability of all existing architectures for different forecasting tasks. In this work, we face two main challenges: a comprehensive review of the latest works using deep learning for time series forecasting and an experimental study comparing the performance of the most popular architectures. The comparison involves a thorough analysis of seven types of deep learning models in terms of accuracy and efficiency. We evaluate the rankings and distribution of results obtained with the proposed models under many different architecture configurations and training hyperparameters. The datasets used comprise more than 50,000 time series divided into 12 different forecasting problems. By training more than 38,000 models on these data, we provide the most extensive deep learning study for time series forecasting. Among all studied models, the results show that long short-term memory (LSTM) and convolutional networks (CNN) are the best alternatives, with LSTMs obtaining the most accurate forecasts. CNNs achieve comparable performance with less variability of results under different parameter configurations, while also being more efficient.

A data mining based clinical decision support system for survival in lung cancer.

BACKGROUND: A clinical decision support system (CDSS ) has been designed to predict the outcome (overall survival) by extracting and analyzing information from routine clinical activity as a complement to clinical guidelines in lung cancer patients. MATERIALS AND METHODS: Prospective multicenter data from 543 consecutive (2013-2017) lung cancer patients with 1167 variables were used for development of the CDSS. Data Mining analyses were based on the XGBoost and Generalized Linear Models algorithms. The predictions from guidelines and the CDSS proposed were compared. RESULTS: Overall, the highest (> 0.90) areas under the receiver-operating characteristics curve AUCs for predicting survival were obtained for small cell lung cancer patients. The AUCs for predicting survival using basic items included in the guidelines were mostly below 0.70 while those obtained using the CDSS were mostly above 0.70. The vast majority of comparisons between the guideline and CDSS AUCs were statistically significant (p < 0.05). For instance, using the guidelines, the AUC for predicting survival was 0.60 while the predictive power of the CDSS enhanced the AUC up to 0.84 (p = 0.0009). In terms of histology, there was only a statistically significant difference when comparing the AUCs of small cell lung cancer patients (0.96) and all lung cancer patients with longer (≥ 18 months) follow up (0.80; p < 0.001). CONCLUSIONS: The CDSS successfully showed potential for enhancing prediction of survival. The CDSS could assist physicians in formulating evidence-based management advice in patients with lung cancer, guiding an individualized discussion according to prognosis.

C-doped anatase TiO2: Adsorption kinetics and photocatalytic degradation of methylene blue and phenol, and correlations with DFT estimations.

This work shows an easy and eco-friendly methodology to obtain almost pristine anatase phase of TiO2 by using furfural, a biomass-derived molecule, as a bio-template. The photocatalytic activity was studied following the degradation of methylene blue and phenol under artificial solar irradiation. Results were compared against those obtained on a commercial pristine anatase TiO2. The pseudo first-order, the second-order and the intraparticle diffusion kinetic models were verified. The textural and surface chemistry properties of the materials were correlated with the surface density of molecules adsorbed in equilibrium. The reaction-rate showed an almost perfect quadratic regression as a function of the surface density. Theoretical estimations of the density of states by DFT + U were performed showing that the total electron charge in the oxygen bonded to anatase TiO2 increased due to carbon doping in agreement with the prediction of appearance of atomic orbitals 2p from carbon atom in the hybrid material. C-doping is responsible of the red-shift from 3.14 to 2.94 eV observed for a Ti15O32C super-cell than pristine anatase Ti16O32. The increase in the activity of the C-doped TiO2 photocatalyst was due to the decrease in the energy band-gap promoting a higher absorption of photons from the visible light.

Influence of protamine shell on nanoemulsions as a carrier for cyclosporine-A skin delivery.

Novel protamine-based nanosystems have been studied for cyclosporine-A (CsA) skin delivery. Core-shell structure systems have been developed to this end. These vehicles have particles sizes of 200-300 nm, a low polydispersity index and a zeta potential which varies between -16 mV and +35 mV. The resulting four nanosystems efficiently encapsulated CsA in their oily nucleus (60-80%) and released this drug in a controlled manner. These formulations have shown a high stability in aqueous suspension in storage conditions at 4 °C (for at least 21 months) and in acetate buffer at a physiological temperature of 37 °C (for at least 24 h). Ex vivo transdermal diffusion experiments using Franz diffusion cells and 2- to 3-day-old pig skin as a biological barrier were performed. All nanoformulations designed produced an increase in CsA transdermal delivery and two of these nanosystems presented a marked promoting effect; the more relevant parameters were smaller particle size (200 ± 7 nm) and negative superficial charge. Finally, the ability of these nanosystems to enhance retention of CsA in the skin was also studied. The protamine disposition in the shell influenced CsA skin retention. Therefore, the incorporation of CsA into the nanosystems studied here makes them suitable vehicles for CsA transdermal administration.

Clinical and hematological changes in sheep induced by Escherichia coli lipopolysaccharide / alterações clínicas e hematológicas induzidas pela administração de lipopolisscarídeo de Escherichia coli em ovelhas / Alteraciones clínicas y hematológicas inducidas por la administración de lipopoliscárido de Escherichia coli en ovejas

Organic response to infection is characterized by a systemic reaction known as acute phase response (APR). In order to know the effect of the administration of Escherichia coli lipopolysaccharide (LPS) on physiological, hematological and biochemical variables, 10 sheep weighing 45 ± 5 kg were divided in two groups: Experimental group treated with 3 doses of 1 µg.kg-1 LPS and control group treated with saline solution (SS) at the same frequency as experimental group. Body temperature (BT°), heart rate (HR) and respiratory rate (RR) were monitored. Blood samples for hemogram and enzyme activity for aspartate amino transferase (AST) and gamma glutamyl transferase (GGT) were collected between 1 and 24 h post-LPS. LPS-treated sheep presented mean values of BT (41.2 ± 0.4°C), HR (132 ± 12.3 beats/min) and RR (107.2 ± 25 cycles/min) higher than those observed in control sheep (39.8 ± 0.2°C, 88.8 ± 8.7 beats/min and 53.6 ± 17.1 cycles/min respectively). Between 4 and 8 hours post-injection (hpi) of LPS the leukocyte count was associated with lymphopenia, followed by leukocytosis at 24 hours. No changes were observed in the activity of AST and GGT enzymes. The results characterize APR induced by LPS in sheep, representing a useful model to study cardiovascular, hematological and biochemical responses to infection. (AU)

A resposta orgânica à infecção é caracterizada por uma reação sistêmica conhecida como resposta de fase aguda (RFA). Para conhecer o efeito da administração de lipopolissacárideo (LPS) de Escherichia coli sobre as variáveis fisiológicas, hematológicas e bioquímicas, 10 carneiros pesando 45 ± 5 kg foram divididos em dois grupos: o grupo experimental tratado com três doses de 1 µg.kg -1 de LPS e grupo controle tratado com solução salina (SS) na mesma frequência que o grupo experimental. Temperatura corporal (T°C), frequência cardíaca (FC) e frequência respiratória (FR) foram monitoradas. As amostras de sangue foram tomadas para hemograma e atividade da enzima aspartato aminotransferase (AST) e gama- -glutamiltransferase (GGT) entre uma e 24 h pós-LPS. Ovelhas tratadas com LPS apresentaram valores médios de T°C (41,2 ± 0,4°C), FC (132 ± 12,3 batimentos/min) e FR (107,2 ± 25 ciclos/min) acima dos observados em ovelhas do tratamento controle (39,8 ± 0,2°C, 88,8 ± 8,7 batimentos/min e 53,6 ± 17,1 ciclos/min, respectivamente). Entre 4 e 8 horas após a injeção de LPS, a contagem de leucocitos foi asociado com linfopenia, seguida de leucocitose as 24 horas. Nenhuma mudança na atividade das enzimas AST e GGT foi observada. Os resultados caracterizam uma resposta de fase aguda induzida por LPS em ovelhas, o que representa um modelo útil para estudar os sistemas cardiovascular, hematológico e bioquímico em resposta à infecção.(AU)

La respuesta orgánica a la infección se caracteriza por una reacción sistémica conocida como respuesta de fase aguda (RFA). Para conocer el efecto de la administración de lipopolisacárido (LPS) de Escherichia coli sobre las variables fisiológicas, hematológicas y bioquímicas, 10 ovejas con un peso de 45 ± 5 kg se dividieron en dos grupos: grupo experimental tratado con 3 dosis de 1 µg.kg-1de LPS y grupo control tratado con solución salina (SS) en la misma frecuencia que el grupo experimental. Temperatura corporal (T°C), frecuencia cardíaca (FC) y frecuencia respiratoria (FR) fueron monitoreadas. Se tomaron muestras de sangre para hemograma y actividad enzimática para el aspartato amino transferasa (AST) y gamma glutamil transferasa (GGT) entre 1 y 24 h post-LPS. Las ovejas tratadas con LPS presentaron valores medios de T°C (41.2 ± 0.4°C), FC (132 ± 12.3 latidos / min) y FR (107.2 ± 25 ciclos/min) por encima de los observados en ovinos controles (39.8 ± 0.2°C, 88.8 ± 8.7 latidos/min y 53.6 ± 17.1 ciclos/min respectivamente). Entre las 4 y 8 horas después de la inyección de LPS, el recuento de leucocitos se asoció a linfopenia, seguida de leucocitosis a las 24 horas. No se observaron cambios en la actividad de las enzimas AST y GGT. Los resultados caracterizan una respuesta de fase aguda inducida por LPS en ovinos, representando un modelo útil para estudiar los sistemas cardiovascular, hematológico y bioquímico en respuesta a la infección.(AU)

Plasma and tissue disposition of florfenicol in Escherichia coli lipopolysaccharide-induced endotoxaemic sheep.

1. The purpose of this study was to understand the effects of the acute inflammatory response (AIR) induced by Escherichia coli lipopolysaccharide (LPS) on florfenicol (FFC) and FFC-amine (FFC-a) plasma and tissue concentrations. 2. Ten Suffolk Down sheep, 60.5 ± 4.7 kg, were distributed into two experimental groups: group 1 (LPS) treated with three intravenous doses of 1 µg/kg bw of LPS at 24, 16, and 0.75 h (45 min) before FFC treatment; group 2 (Control) was treated with saline solution (SS) in parallel to group 1. An IM dose of 20 mg FFC/kg was administered at 0.75 h after the last injection of LPS or SS. Blood and tissue samples were taken after FFC administration. 3. The plasma AUC0-4 h values of FFC were higher (p = 0.0313) in sheep treated with LPS (21.8 ± 2.0 µg·min/mL) compared with the control group (12.8 ± 2.3 µg·min/mL). Lipopolysaccharide injections increased FFC concentrations in kidneys, spleen, and brain. Low levels of plasma FFC-a were observed in control sheep (Cmax = 0.14 ± 0.01 µg/mL) with a metabolite ratio (MR) of 4.0 ± 0.87%. While in the LPS group, Cmax increased slightly (0.25 ± 0.01 µg/mL), and MR decreased to 2.8 ± 0.17%. 4. The changes observed in the plasma and tissue concentrations of FFC were attributed to the pathophysiological effects of LPS on renal hemodynamics that modified tissue distribution and reduced elimination of the drug.

Comparative genome-wide transcriptome analysis of Vitis vinifera responses to adapted and non-adapted strains of two-spotted spider mite, Tetranyhus urticae.

BACKGROUND: The two-spotted spider mite, Tetranychus urticae, is an extreme generalist plant pest. Even though mites can feed on many plant species, local mite populations form host races that do not perform equally well on all potential hosts. An acquisition of the ability to evade plant defenses is fundamental for mite's ability to use a particular plant as a host. Thus, understanding the interactions between the plant and mites with different host adaptation status allows the identification of functional plant defenses and ways mites can evolve to avoid them. RESULTS: The grapevine genome-wide transcriptional responses to spider mite strains that are non-adapted and adapted to grapevine as a host were examined. Comparative transcriptome analysis of grapevine responses to these mite strains identified the existence of weak responses induced by the feeding of the non-adapted strain. In contrast, strong but ineffective induced defenses were triggered upon feeding of the adapted strain. A comparative meta-analysis of Arabidopsis, tomato and grapevine responses to mite feeding identified a core of 36 highly conserved genes involved in the perception, regulation and metabolism that were commonly induced in all three species by mite herbivory. CONCLUSIONS: This study describes the genome-wide grapevine transcriptional responses to herbivory of mite strains that differ in their ability to use grapevine as a host. It raises hypotheses whose testing will lead to our understanding of grapevine defenses and mite adaptations to them.

Necesidades educativas especiales y educación física: las actividades en la naturaleza como instrumento socializador / Special educatives needs and physical education: the activities in the nature as socialized instrument

El escrito que se presenta a continuación es el resultado de un trabajo indagativo relacionado con las actividades en contacto con la naturaleza (ACN) y personas con necesidades educativas especiales (NEE). El objetivo de este estudio ha sido identificar la influencia que este tipo de actividades ejerce sobre los estudiantes con NEE y de qué forma afecta su entorno cercano y las relaciones sociales que sostiene en su diario vivir. La investigación se enmarca en la metodología cualitativa toda vez que lo central es conocer el sentido que se le otorga a esta línea de trabajo desde la perspectiva de la actividad física. Los resultados permiten concluir que el acercamiento y relación de los estudiantes con NEE a los espacios naturales tiene una influencia positiva y colabora asimismo en su autoconocimiento, autoestima, mejora de las relaciones sociales, con su entorno y familia.

The article that follows is the result of a investigative work related outdoor activities and people with special educatives needs (SEN). The aim of this study was to identify the influence that these activities have on students with SEN and how it affects their immediate environment and social relations holding. The research is part of the qualitative methodology given that the core is known the sense that gives this line of work from the perspective of physical activity. Results show that the approach and relationship of students with SEN to natural areas, has a positive influence and also works in his self-knowledge, self-esteem and improved social relationships with their immediate surroundings and family.

Transcriptional analysis of tendril and inflorescence development in grapevine (Vitis vinifera L.).

In grapevine (Vitis vinifera L.), the lateral meristem can give rise to either tendrils or inflorescences which are determined organs. To get insights into the processes of tendril and inflorescence development, we characterized the transcriptional variation taking place in both organs. The results of the global transcriptional analyses along tendril and inflorescence development suggested that these two homologous organs initially share a common transcriptional program related to cell proliferation and growth functions. In later developmental stages they showed organ specific gene expression programs related to the particular differentiation processes taking place in each organ. In this way, tendrils showed higher transcription of genes related to photosynthesis, hormone signaling and secondary metabolism than inflorescences, while inflorescences displayed higher transcriptional activity for genes encoding transcription factors, mainly those belonging to the MADS-box gene family. The expression profiles of selected transcription factors related with inflorescence and flower meristem identity and with flower organogenesis were generally conserved with respect to their homologs in model species. Regarding tendrils, it was interesting to find that genes related with reproductive development in other species were also recruited for grapevine tendril development. These results suggest a role for those genes in the regulation of basic cellular mechanisms common to both developmental processes.

Transcriptome variation along bud development in grapevine (Vitis vinifera L.).

BACKGROUND: Vegetative buds provide plants in temperate environments the possibility for growth and reproduction when environmental conditions are favorable. In grapevine, crucial developmental events take place within buds during two growing seasons in consecutive years. The first season, the shoot apical meristem within the bud differentiates all the basic elements of the shoot including flowering transition in lateral primordia and development of inflorescence primordia. These events practically end with bud dormancy. The second season, buds resume shoot growth associated to flower formation and development. Gene expression has been previously monitored at specific stages of bud development but has never been followed along the two growing seasons. RESULTS: Gene expression changes were analyzed along the bud annual cycle at eight different time points. Principal Components Analysis (PCA) revealed that the main factors explaining the global gene expression differences were the processes of bud dormancy and active growth as well as stress responses. Accordingly, non dormant buds showed an enrichment in functional categories typical of actively proliferating and growing cells together with the over abundance of transcripts belonging to stress response pathways. Differential expression analyses performed between consecutive time points indicated that major transcriptional changes were associated to para/endodormancy, endo/ecodormancy and ecodormancy/bud break transitions. Transcripts encoding key regulators of reproductive development were grouped in three major expression clusters corresponding to: (i) transcripts associated to flowering induction, (ii) transcripts associated to flower meristem specification and initiation and (iii) transcripts putatively involved in dormancy. Within this cluster, a MADS-box gene (VvFLC2) and other transcripts with similar expression patterns could participate in dormancy regulation. CONCLUSIONS: This work provides a global view of major transcriptional changes taking place along bud development in grapevine, highlighting those molecular and biological functions involved in the main events of bud development. As reported in other woody species, the results suggest that genes regulating flowering could also be involved in dormancy regulatory pathways in grapevine.

Comparative analysis of grapevine whole-genome gene predictions, functional annotation, categorization and integration of the predicted gene sequences.

BACKGROUND: The first draft assembly and gene prediction of the grapevine genome (8X base coverage) was made available to the scientific community in 2007, and functional annotation was developed on this gene prediction. Since then additional Sanger sequences were added to the 8X sequences pool and a new version of the genomic sequence with superior base coverage (12X) was produced. RESULTS: In order to more efficiently annotate the function of the genes predicted in the new assembly, it is important to build on as much of the previous work as possible, by transferring 8X annotation of the genome to the 12X version. The 8X and 12X assemblies and gene predictions of the grapevine genome were compared to answer the question, "Can we uniquely map 8X predicted genes to 12X predicted genes?" The results show that while the assemblies and gene structure predictions are too different to make a complete mapping between them, most genes (18,725) showed a one-to-one relationship between 8X predicted genes and the last version of 12X predicted genes. In addition, reshuffled genomic sequence structures appeared. These highlight regions of the genome where the gene predictions need to be taken with caution. Based on the new grapevine gene functional annotation and in-depth functional categorization, twenty eight new molecular networks have been created for VitisNet while the existing networks were updated. CONCLUSIONS: The outcomes of this study provide a functional annotation of the 12X genes, an update of VitisNet, the system of the grapevine molecular networks, and a new functional categorization of genes. Data are available at the VitisNet website (http://www.sdstate.edu/ps/research/vitis/pathways.cfm).