Effects of sublethal doses of methoxyfenozide on the development, survival and reproduction of Spodoptera frugiperda.

The lethal and sublethal effects of the ecdysone agonist methoxyfenozide on the fall armyworm, Spodoptera frugiperda (J. E. Smith), were investigated by feeding a methoxyfenozide-treated diet to ϐifth instars until pupation in doses corresponding to the LC 10 and LC 25 for the compound. Larval mortality reached 8% and 26% in the low and high concentration groups, respectively, on the seventh day of the experiment. A progressive larval mortality of 12% for the LC 10 and 60% for the LC 25 was observed before pupation. Treated larvae exhibited lower pupal weights, higher pupal mortality, presence of deformed pupae, and more deformed adults than untreated larvae. The incorporation of methoxyfenozide into the diet had a signiϐicant effect on the timing of larval development. The development period for males and females was about seven days longer than the controls for both concentrations tested. In contrast, the compound affected neither pupae nor adult longevity. Finally, S. frugiperda adults that resulted from ϐifth instars treated with methoxyfenozide were not affected in their mean cumulative number of eggs laid per female (fecundity), nor percentages of eggs hatched (fertility), or the sex ratio. Our results suggest that the combination of lethal and sublethal effects of methoxyfenozide may have important implications for the population dynamics of the fall armyworm

News in engineering education in Spain effective from 2010 in presence of external changes and mixed crisis, looking mostly to agro and civil engineers.

The engineering careers models were diverse in Europe, and are adopting now in Spain the Bolonia process for European Universities. Separated from older Universities, that are in part technically active, Civil Engineering (Caminos, Canales y Puertos) started at end of 18th century in Spain adopting the French models of Upper Schools for state civil servants with exam at entry. After 1800 intense wars, to conserve forest regions Ingenieros de Montes appeared as Upper School, and in 1855 also the Ingenieros Agrónomos to push up related techniques and practices. Other Engineers appeared as Upper Schools but more towards private factories. These ES got all adapted Lower Schools of Ingeniero Tecnico. Recently both grew much in number and evolved, linked also to recognized Professions. Spanish society, into European Community, evolved across year 2000, in part highly well, but with severe discordances, that caused severe youth unemployment with 2008-2011 crisis. With Bolonia process high formal changes step in from 2010-11, accepted with intense adaptation. The Lower Schools are changing towards the Upper Schools, and both that have shifted since 2010-11 various 4-years careers (Grado), some included into the precedent Professions, and diverse Masters. Acceptation of them to get students has started relatively well, and will evolve, and acceptation of new grades for employment in Spain, Europe or outside will be essential. Each Grado has now quite rigid curricula and programs, MOODLE was introduced to connect pupils, some specific uses of Personal Computers are taught in each subject. Escuela de Agronomos centre, reorganized with its old name in its precedent buildings at entrance of Campus Moncloa, offers Grados of Agronomic Engineering and Science for various public and private activities for agriculture, Alimentary Engineering for alimentary activities and control, Agro-Environmental Engineering more related to environment activities, and in part Biotechnology also in laboratories in Campus Monte-Gancedo for Biotechnology of Plants and Computational Biotechnology. Curricula include Basics, Engineering, Practices, Visits, English, ?project of end of career?, Stays. Some masters will conduce to specific professional diploma, list includes now Agro-Engineering, Agro-Forestal Biotechnology, Agro and Natural Resources Economy, Complex Physical Systems, Gardening and Landscaping, Rural Genie, Phytogenetic Resources, Plant Genetic Resources, Environmental Technology for Sustainable Agriculture, Technology for Human Development and Cooperation.

HERMES: Towards an Integrated Toolbox to Characterize Functional and Effective Brain Connectivity

The analysis of the interdependence between time series has become an important field of research in the last years, mainly as a result of advances in the characterization of dynamical systems from the signals they produce, the introduction of concepts such as generalized and phase synchronization and the application of information theory to time series analysis. In neurophysiology, different analytical tools stemming from these concepts have added to the ‘traditional’ set of linear methods, which includes the cross-correlation and the coherency function in the time and frequency domain, respectively, or more elaborated tools such as Granger Causality. This increase in the number of approaches to tackle the existence of functional (FC) or effective connectivity (EC) between two (or among many) neural networks, along with the mathematical complexity of the corresponding time series analysis tools, makes it desirable to arrange them into a unified-easy-to-use software package. The goal is to allow neuroscientists, neurophysiologists and researchers from related fields to easily access and make use of these analysis methods from a single integrated toolbox. Here we present HERMES (http://hermes.ctb.upm.es), a toolbox for the Matlab® environment (The Mathworks, Inc), which is designed to study functional and effective brain connectivity from neurophysiological data such as multivariate EEG and/or MEG records. It includes also visualization tools and statistical methods to address the problem of multiple comparisons. We believe that this toolbox will be very helpful to all the researchers working in the emerging field of brain connectivity analysis.

Functional and effective connectivity in MEG. Application to the study of epilepsy

Nuestro cerebro contiene cerca de 1014 sinapsis neuronales. Esta enorme cantidad de conexiones proporciona un entorno ideal donde distintos grupos de neuronas se sincronizan transitoriamente para provocar la aparición de funciones cognitivas, como la percepción, el aprendizaje o el pensamiento. Comprender la organización de esta compleja red cerebral en base a datos neurofisiológicos, representa uno de los desafíos más importantes y emocionantes en el campo de la neurociencia. Se han propuesto recientemente varias medidas para evaluar cómo se comunican las diferentes partes del cerebro a diversas escalas (células individuales, columnas corticales, o áreas cerebrales). Podemos clasificarlos, según su simetría, en dos grupos: por una parte, la medidas simétricas, como la correlación, la coherencia o la sincronización de fase, que evalúan la conectividad funcional (FC); mientras que las medidas asimétricas, como la causalidad de Granger o transferencia de entropía, son capaces de detectar la dirección de la interacción, lo que denominamos conectividad efectiva (EC). En la neurociencia moderna ha aumentado el interés por el estudio de las redes funcionales cerebrales, en gran medida debido a la aparición de estos nuevos algoritmos que permiten analizar la interdependencia entre señales temporales, además de la emergente teoría de redes complejas y la introducción de técnicas novedosas, como la magnetoencefalografía (MEG), para registrar datos neurofisiológicos con gran resolución. Sin embargo, nos hallamos ante un campo novedoso que presenta aun varias cuestiones metodológicas sin resolver, algunas de las cuales trataran de abordarse en esta tesis. En primer lugar, el creciente número de aproximaciones para determinar la existencia de FC/EC entre dos o más señales temporales, junto con la complejidad matemática de las herramientas de análisis, hacen deseable organizarlas todas en un paquete software intuitivo y fácil de usar. Aquí presento HERMES (http://hermes.ctb.upm.es), una toolbox en MatlabR, diseñada precisamente con este fin. Creo que esta herramienta será de gran ayuda para todos aquellos investigadores que trabajen en el campo emergente del análisis de conectividad cerebral y supondrá un gran valor para la comunidad científica. La segunda cuestión practica que se aborda es el estudio de la sensibilidad a las fuentes cerebrales profundas a través de dos tipos de sensores MEG: gradiómetros planares y magnetómetros, esta aproximación además se combina con un enfoque metodológico, utilizando dos índices de sincronización de fase: phase locking value (PLV) y phase lag index (PLI), este ultimo menos sensible a efecto la conducción volumen. Por lo tanto, se compara su comportamiento al estudiar las redes cerebrales, obteniendo que magnetómetros y PLV presentan, respectivamente, redes más densamente conectadas que gradiómetros planares y PLI, por los valores artificiales que crea el problema de la conducción de volumen. Sin embargo, cuando se trata de caracterizar redes epilépticas, el PLV ofrece mejores resultados, debido a la gran dispersión de las redes obtenidas con PLI. El análisis de redes complejas ha proporcionado nuevos conceptos que mejoran caracterización de la interacción de sistemas dinámicos. Se considera que una red está compuesta por nodos, que simbolizan sistemas, cuyas interacciones se representan por enlaces, y su comportamiento y topología puede caracterizarse por un elevado número de medidas. Existe evidencia teórica y empírica de que muchas de ellas están fuertemente correlacionadas entre sí. Por lo tanto, se ha conseguido seleccionar un pequeño grupo que caracteriza eficazmente estas redes, y condensa la información redundante. Para el análisis de redes funcionales, la selección de un umbral adecuado para decidir si un determinado valor de conectividad de la matriz de FC es significativo y debe ser incluido para un análisis posterior, se convierte en un paso crucial. En esta tesis, se han obtenido resultados más precisos al utilizar un test de subrogadas, basado en los datos, para evaluar individualmente cada uno de los enlaces, que al establecer a priori un umbral fijo para la densidad de conexiones. Finalmente, todas estas cuestiones se han aplicado al estudio de la epilepsia, caso práctico en el que se analizan las redes funcionales MEG, en estado de reposo, de dos grupos de pacientes epilépticos (generalizada idiopática y focal frontal) en comparación con sujetos control sanos. La epilepsia es uno de los trastornos neurológicos más comunes, con más de 55 millones de afectados en el mundo. Esta enfermedad se caracteriza por la predisposición a generar ataques epilépticos de actividad neuronal anormal y excesiva o bien síncrona, y por tanto, es el escenario perfecto para este tipo de análisis al tiempo que presenta un gran interés tanto desde el punto de vista clínico como de investigación. Los resultados manifiestan alteraciones especificas en la conectividad y un cambio en la topología de las redes en cerebros epilépticos, desplazando la importancia del ‘foco’ a la ‘red’, enfoque que va adquiriendo relevancia en las investigaciones recientes sobre epilepsia. ABSTRACT There are about 1014 neuronal synapses in the human brain. This huge number of connections provides the substrate for neuronal ensembles to become transiently synchronized, producing the emergence of cognitive functions such as perception, learning or thinking. Understanding the complex brain network organization on the basis of neuroimaging data represents one of the most important and exciting challenges for systems neuroscience. Several measures have been recently proposed to evaluate at various scales (single cells, cortical columns, or brain areas) how the different parts of the brain communicate. We can classify them, according to their symmetry, into two groups: symmetric measures, such as correlation, coherence or phase synchronization indexes, evaluate functional connectivity (FC); and on the other hand, the asymmetric ones, such as Granger causality or transfer entropy, are able to detect effective connectivity (EC) revealing the direction of the interaction. In modern neurosciences, the interest in functional brain networks has increased strongly with the onset of new algorithms to study interdependence between time series, the advent of modern complex network theory and the introduction of powerful techniques to record neurophysiological data, such as magnetoencephalography (MEG). However, when analyzing neurophysiological data with this approach several questions arise. In this thesis, I intend to tackle some of the practical open problems in the field. First of all, the increase in the number of time series analysis algorithms to study brain FC/EC, along with their mathematical complexity, creates the necessity of arranging them into a single, unified toolbox that allow neuroscientists, neurophysiologists and researchers from related fields to easily access and make use of them. I developed such a toolbox for this aim, it is named HERMES (http://hermes.ctb.upm.es), and encompasses several of the most common indexes for the assessment of FC and EC running for MatlabR environment. I believe that this toolbox will be very helpful to all the researchers working in the emerging field of brain connectivity analysis and will entail a great value for the scientific community. The second important practical issue tackled in this thesis is the evaluation of the sensitivity to deep brain sources of two different MEG sensors: planar gradiometers and magnetometers, in combination with the related methodological approach, using two phase synchronization indexes: phase locking value (PLV) y phase lag index (PLI), the latter one being less sensitive to volume conduction effect. Thus, I compared their performance when studying brain networks, obtaining that magnetometer sensors and PLV presented higher artificial values as compared with planar gradiometers and PLI respectively. However, when it came to characterize epileptic networks it was the PLV which gives better results, as PLI FC networks where very sparse. Complex network analysis has provided new concepts which improved characterization of interacting dynamical systems. With this background, networks could be considered composed of nodes, symbolizing systems, whose interactions with each other are represented by edges. A growing number of network measures is been applied in network analysis. However, there is theoretical and empirical evidence that many of these indexes are strongly correlated with each other. Therefore, in this thesis I reduced them to a small set, which could more efficiently characterize networks. Within this framework, selecting an appropriate threshold to decide whether a certain connectivity value of the FC matrix is significant and should be included in the network analysis becomes a crucial step, in this thesis, I used the surrogate data tests to make an individual data-driven evaluation of each of the edges significance and confirmed more accurate results than when just setting to a fixed value the density of connections. All these methodologies were applied to the study of epilepsy, analysing resting state MEG functional networks, in two groups of epileptic patients (generalized and focal epilepsy) that were compared to matching control subjects. Epilepsy is one of the most common neurological disorders, with more than 55 million people affected worldwide, characterized by its predisposition to generate epileptic seizures of abnormal excessive or synchronous neuronal activity, and thus, this scenario and analysis, present a great interest from both the clinical and the research perspective. Results revealed specific disruptions in connectivity and network topology and evidenced that networks’ topology is changed in epileptic brains, supporting the shift from ‘focus’ to ‘networks’ which is gaining importance in modern epilepsy research.

HERMES: towards an integrated toolbox to characterize functional and effective brain connectivity

The analysis of the interdependence between time series has become an important field of research in the last years, mainly as a result of advances in the characterization of dynamical systems from the signals they produce, the introduction of concepts such as generalized and phase synchronization and the application of information theory to time series analysis. In neurophysiology, different analytical tools stemming from these concepts have added to the ?traditional? set of linear methods, which includes the cross-correlation and the coherency function in the time and frequency domain, respectively, or more elaborated tools such as Granger Causality. This increase in the number of approaches to tackle the existence of functional (FC) or effective connectivity (EC) between two (or among many) neural networks, along with the mathematical complexity of the corresponding time series analysis tools, makes it desirable to arrange them into a unified, easy-to-use software package. The goal is to allow neuroscientists, neurophysiologists and researchers from related fields to easily access and make use of these analysis methods from a single integrated toolbox. Here we present HERMES (http://hermes.ctb.upm.es), a toolbox for the Matlab® environment (The Mathworks, Inc), which is designed to study functional and effective brain connectivity from neurophysiological data such as multivariate EEG and/or MEG records. It includes also visualization tools and statistical methods to address the problem of multiple comparisons. We believe that this toolbox will be very helpful to all the researchers working in the emerging field of brain connectivity analysis.

What Makes an Effective Abstract in Sport Science?

Writing an efficient abstract is always a difficult and significant work in academic writing. What kinds of abstracts are well reputed in sport science? To answer this question, 20 abstracts from top journals of sport science were analyzed in the current research. The number of words and rhetorical moves were studied to assess the structures of the abstracts. Meanwhile, the key clauses, citations, the use of first person pronoun, the adoption of abbreviations and acronyms, hedging and the main tense were included in the analysis of the writing skills. Results have show: (1) Almost all of the abstracts were non-structured, and the length varied a lot, but the average word count was about 210-220; (2) the use of writing skills, such as key clauses, citations and hedging differed depending on the preference of the journal where the abstract appeared, and the main tense was selected based on the context of the abstract. In most cases, abbreviations and acronyms were allowed to be used, while the first person pronoun was always avoided

Native bradyrhizobial symbionts of Lupinus mariae-josephae, a unique endemism thriving in alkaline soils in Eastern Spain

Lupinus mariae-josephae (Lmj) es una especie de lupino endémica de una pequeña y específica área de Comunidad Valenciana (Este de España), donde prospera en suelos alcalinoscalcáreos, un hábitat singular para los altramuces, que crecen preferentemente en suelos ácidos o neutros. Esto hace de Lmj una especie de lupino única. Cuando se inició este trabajo, la extensión conocida de este endemismo abarcaba unos 700 kilómetros cuadrados, confinados en la provincia de Valencia. En esta área, Lmj prospera en pequeñas poblaciones aisladas que contienen un número reducido de plantas por lo que se la consideró una especie en peligro de extinción. Todos los esfuerzos, utilizando estrategias clásicas dirigidas a ampliar el área de crecimiento de Lmj y garantizar su conservación, han tenido un éxito limitado. El trabajo que se presenta está dirigido a mejorar el conocimiento de la ecología de Lmj, en particular la interacción simbiótica que establece con bacterias del suelo denominadas rizobios y se centra en la caracterización fenotípica, filogenética y genómica de esos rizobios. También se investiga la posible contribución de la simbiosis en mejorar la conservación de Lmj. Para este fin, se han estudiado diferentes aspectos que se describen a continuación. El primero objetivo se centró en aislar y estudiar de la diversidad genética de las bacterias endosimbióticas de Lmj. . Se realizó un análisis filogenético de genes esenciales que mostró que las cepas de Lmj pertenecen al género Bradyrhizobium y que presentan una gran diversidad con características fenotípicas y simbióticas diferentes de cepas de Bradyrhizobium que nodulan otras especies de lupinos nativos de España (cepas ISLU). Las cepas estudiadas se dividieron en dos grupos (Clado I y Clado II). El Clado I, incluye a las cepas Lmj, definiendo un nuevo linaje, filogenéticamente relacionado con otras especies de Bradyrhizobium, como B. jicamae y B. elkanii. El Clado II contiene cepas ISLU relacionadas con cepas de B. canariense y B. japonicum que establecen simbiosis con lupinos de suelos ácidos. Otro análisis filogenético basado en genes simbióticos, distribuyó las cepas de Lmj en sólo dos grupos diferentes. La singularidad y gran diversidad de estas cepas en una pequeña área geográfica, hacen de este, un atractivo sistema para el estudio de la evolución y adaptación de las bacterias simbióticas a su respectiva planta huésped. Adicionalmente, se estudio la presencia de bacterias capaces de nodular Lmj en suelos básicos de Chiapas, México. Sorprendentemente, estos suelos contienen bacterias capaces establecer interacciones simbióticas eficientes con Lmj en ensayos de invernadero. A continuación se investigó la taxonomía de los endosimbiontes de Lmj analizando la secuencia de cuatro genes esenciales (16S rRNA, recA, glnII y atpD) y el promedio de identidad de nucleótidos de genomas completos de algunas cepas representativas de la diversidad (ANIm). Se identificaron nuevas especies de Bradyrhizobium dentro del Clado I y se definió una de ellas: 'Bradyrhizobium valentinum' sp. nov (cepa tipo LmjM3T = CECT 8364T, LMG 2761T). También se abordó cómo conservar Lmj en su hábitat natural mediante inoculación con alguna de las cepas aisladas. Se demostró la ausencia de bacterias capaces de nodular Lmj en suelos rojos alcalinos o ‘‘terra rossa’’ de la Península Ibérica y Baleares. Dos cepas, altamente eficientes en cuanto a la fijación de nitrógeno, LmjC y LmjM3T, fueron seleccionadas para ser empleadas como inoculantes. Dos experimentos de campo llevados a cabo en años consecutivos en áreas con características edafoclimáticas similares a las que presentan las poblaciones de Lmj, lograron la reproducción exitosa de la planta. Se concluyó que un ciclo reproductivo exitoso de Lmj es absolutamente dependiente de la inoculación con sus simbiontes naturales y que la simbiosis debe ser considerada un factor esencial en estrategias de conservación de leguminosas en peligro. La obtención de varias secuencias genómicas de cepas aisladas de Lmj y de otras cepas de Bradyrhizobium reveló una alta similitud entre los genomas de las cepas del Clado I, y permitió la identificación de cinco posibles nuevas especies. Además, se estudiaron tres agrupaciones de genes relacionados con la simbiosis (nod, nif y fix) definiendo un nuevo linaje para las cepas de Lmj, diferente del symbiovar “genistearum” de B. canariense y B. japonicum. La baja diversidad encontrada en el análisis filogenético de los genes simbióticos contrasta con la gran diversidad asociada a genes esenciales. La presencia de plásmidos en cepas del género Bradyrhizobium ha sido descrita en muy pocas ocasiones, sin embargo el análisis de la secuencia genómica de la cepa ISLU101, aislada de Lupinus angustifolius, reveló la presencia de un origen de replicación extracromosómico homólogo al operón repABC, presente en el plásmido de Bradyrhizobium sp BTAi1. Gracias a esta secuencia se identificaron genes homólogos en 19 de 72 cepas ISLU. Filogenéticamente, las secuencias de repABC se agruparon en un grupo monofilético con las de pBTAi1 y separadas de los rizobios de crecimiento rápido. Finalmente, se identificaron sistemas de secreción de proteínas de tipo III (T3SS) en nueve genomas de cepas de Lmj. Los T3SS pueden inyectar proteínas efectoras al interior de células vegetales. Su presencia en rizobios se ha relacionado con la gama de hospedador que pueden nodular y puede tener un efecto beneficioso, neutro o perjudicial en la simbiosis. Los T3SS de las cepas de Lmj codifican para una proteína efectora similar a NopE, un efector dependiente de T3SS descrito en B. diazoefficiens USDA 110T. La proteína NopE de la cepa LmjC se ha caracterizado bioquímicamente. ABSTRACT Lupinus mariae-josephae (Lmj) is a lupine species endemic of a unique small area in Valencia region (Eastern Spain) where the lupine plants thrive in alkaline-limed soils, which preferentially grow in acid or neutral soils. This is the type of soils native lupines of Spain. When this work was initiated, the extension of the endemic area of Lmj was of about 700 squared kilometers confined to the Valencia province. In this area, Lmj thrives in small, isolated patches containing a reduced number of plants, and points to an endemism that can easily became endangered or extinct. Consequently, the Valencia Community authorities gave a ‘‘microreserve” status for conservation of the species. All efforts, using classical strategies directed to extend the area of Lmj growth and ensure its conservation have been so far unsuccessful. The work presented here is directed to improve our knowledge of Lmj ecology and it is centered in the characterization of the rhizobial symbiosis by phenotypic, phylogenetic and genomic analysis as well as in investigate the potential contribution of the symbiosis to improve its conservation. To this end, five different topics have been studied, and results are briefly described here. Extensive details can be followed en the attached, published articles. The first topic deals with the indigenous rhizobial symbionts of the Lmj endemism, and its genetic diversity was investigated. The Lmj root symbionts belong to the Bradyrhizobium genus, and phylogenetic analysis based on core genes identified a large diversity of Bradyrhizobium strains with phenotypic and symbiotic characteristics different from rhizobia nodulating other Lupinus spp. native of Spain. The strains were split in two clades. Clade II contained strains close to classical B. canariense and B. japonicum lineages that establish symbioses with lupines in acid soils of the Mediterranean area. Clade I included Lmj strains that define a new lineage, close to other Bradyrhizobium species as B. jicamae and B. elkanii. The phylogenetic analysis based on symbiotic genes identified only two distinct clusters. The singularity and large diversity of these strains in such a small geographical area makes this an attractive system for studying the evolution and adaptation of the rhizobial symbiont to the plant host. Additionally, the presence of bacteria able to nodulate Lmj in basic soils from Chiapas, Mexico was investigated. Surprisingly, these soils contain bacteria able to effectively nodulate and fix nitrogen with Lmj plants in greenhouse assays. In the second topic, the taxonomic status of the endosymbiotic bacteria of Lmj from Valencia endemism and Chiapas was investigated. Results from phylogenetic analysis of core genes and Average Nucleotide Identity (ANIm) using draft genomic sequences identified new Bradyrhizobium species within strains of Clade I of Lmj endosymbiotic bacteria. Only one of these potentially new species has been defined, meanwhile the others are under process of characterization. The name ‘Bradyrhizobium valentinum’ sp. nov. was proposed for the defined species (type strain LmjM3T= CECT 8364T, LMG 2761T). The third topic was directed to conservation of endangered Lmj in its natural habitat. The relevant conclusion of this experimentation is that the symbiosis should be considered as a relevant factor in the conservation strategies for endangered legumes. First, we showed absence of bacteria able to nodulate Lmj in all the inspected ‘‘terra rossa’’ or alkaline red soils of the Iberian Peninsula and Balearic Islands. Then, two efficient nitrogen fixing strains with Lmj plants, LmjC and LmjM3T, were selected as inoculum for seed coating. Two planting experiments were carried out in consecutive years under natural conditions in areas with edapho-climatic characteristics identical to those sustaining natural Lmj populations, and successful reproduction of the plant was achieved. The relevant conclusion from these assays was that the successful reproductive cycle was absolutely dependent on seedling inoculation with effective bradyrhizobia The forth topic deep into the analysis of the genomic of Lmj representative strains. To this end, draft genomic sequences of selected Lmj strains and type strains of Bradyrhizobium spp. were assembled. The comparison analysis of the draft genomic sequences of Lmj strains and related Bradyrhizobium species grouped in Clade I, revealed a high genomic homology among them, and allowed the definition of five potentially new species of Lmj nodulating bacteria. Also, based on the available draft genomic sequences, only three clusters of nod, fix and nif genes from Lmj strains were identified and showed to define a new symbiotic lineage, distant from that of B. canariense and B. japonicum bv. genistearum. The low diversity exhibited by the phylogenetic analysis of symbiotic genes contrast with the large diversity of strains as regards the housekeeping genes analyzed. Besides, the genomic analysis of a Lupinus angustifolius strain ISLU101, revealed the presence of an extrachromosomal replication origin homologous to repABC cluster from plasmid present in Bradyrhizobium spp BTAi1. This repABC cluster gene sequence allowed the identification of extrachromosomic replication origin in 19 out of 72 Bradyrhizobium strains from Lupinus spp., a highly significant result since the absence of plasmids in the Bradyrhizobium genus was traditionally assumed. The repABC gene sequences of these strains grouped them in a unique monophyletic group, related to B. sp. BTAi1 plasmid, but differentiated from the repABC gene cluster of plasmids in fast growing rhizobium strains. The last topic was focused on characterization of type III secreted effectors present in Lmj endosymbiotic bacteria. Type III secretion systems (T3SS) are specialized protein export machineries which can deliver effector proteins into plant cells. The presence of T3SS in rhizobia has frequently been related to the symbiotic nodulation host-range and may have a beneficial or detrimental effect on the symbiosis with legumes. In this context, the presence of T3SS in genomes of nine Lmj strains was investigated, and it was shown the presence of clusters encoding NopE type III-secreted protein similar to the NopE1 and NopE2 of B. diazoefficiens USDA 110T. The putative NopE protein of LmjC strain is at present being characterized regarding its structure and function.

Genome-Wiide estimates of coancestry, in breeding and effective population size in the Spanish Holstein population

Estimates of effective population size in the Holstein cattle breed have usually been low despite the large number of animals that constitute this breed. Effective population size is inversely related to the rates at which coancestry and inbreeding increase and these rates have been high as a consequence of intense and accurate selection. Traditionally, coancestry and inbreeding coefficients have been calculated from pedigree data. However, the development of genome-wide single nucleotide polymorphisms has increased the interest of calculating these coefficients from molecular data in order to improve their accuracy. In this study, genomic estimates of coancestry, inbreeding and effective population size were obtained in the Spanish Holstein population and then compared with pedigree-based estimates. A total of 11,135 animals genotyped with the Illumina BovineSNP50 BeadChip were available for the study. After applying filtering criteria, the final genomic dataset included 36,693 autosomal SNPs and 10,569 animals. Pedigree data from those genotyped animals included 31,203 animals. These individuals represented only the last five generations in order to homogenise the amount of pedigree information across animals. Genomic estimates of coancestry and inbreeding were obtained from identity by descent segments (coancestry) or runs of homozygosity (inbreeding). The results indicate that the percentage of variance of pedigree-based coancestry estimates explained by genomic coancestry estimates was higher than that for inbreeding. Estimates of effective population size obtained from genome-wide and pedigree information were consistent and ranged from about 66 to 79. These low values emphasize the need of controlling the rate of increase of coancestry and inbreeding in Holstein selection programmes.