949 resultados para Corina Chacon Navas
Resumo:
En estudios anteriores propusimos un nuevo método para el estudio del género Quercus (Musarella et al., 2013), baseado en la dimensión fractal (DF). En este trabajo analizamos la DF del género Quercus en el sur de Italia, para ello utilizamos hojas de árboles pertenecientes a Q. robur subsp. brutia, Q. cerris, Q. congesta, Q. crenata, Q. ilex, Q. suber, Q. virginiana. De cada árbol se toman hojas de cada uno de los puntos cardinales para complejiada de la estructura morfológica de las hojas. Este análisis extrae información sobre los caracteres fenotípicos de las hojas utilizadas, tales como el número y morfologia de los nervios, ángulos nervios secundarios con principal, contorno de hojas, aspecto reticulado de la hoja etc. En nuestro análisis, no se han detectado diferencias significativas entre la DF en cada una de la orientaciones y la DF global para cada una de las especies. En este trabajo corroboramos estudios anteriores realizados por los autores, en los que se proponía una DF < 1,6 para Quercus esclerófilos y DF entre dos especies sea cero o su cociente sea uno, el grado de parentesco entre las dos especies es del 100%; DFA - DFB = 0; DFA/DFB = 1, la especie Ay B son iguales; por ello cuanto menor es la diferencia o bien cuanto más se acerque el cociente a 1, mayor es la semejanza entre las especies. Si este cociente tiene un valor alejado de 1 como ocurre entre vfvi/vfsu>2, las especies Q. virginiana y Q. suber están muy distantes entre sí. Además, la realización del Test de Rango Múltiple, que es un procedimiento de comparación para determinar cuáles medias son significativamente diferentes unas de otras, confirma los resultados obtenidos de la forma anteriormente expuesta. Conto et al. (2007) ponen de manifiesto el origen hibridógeno de Q. crenata, y según el análisis molecular existe una mayor similitud genética entre Q. crenata y Q. cerris, que entre Q. crenata y Q. suber. Los DF de Q. crenata 1,868; Q. cerris 1,677 y Q. suber 0,932; siendo DFQsu 0,745 y DFQsu = 1,8, lo que significa que existe gran diferencia fenotípica (genética) entre los parentales, se presenta una mayor semejanza entre Q. crenata y Q. cerris que entre Q. crenata y Q. suber, ya que la diferencia DFQcr-DFQce = 0,191 y DFQcr/DFQce = 1,1, por lo que tienen un fuerte grado de semejanza, mientras que DFQcr-DFQsu = 0,936 y DFQcr/DFQsu > 2, lo que pone de manifiesto las fuertes diferencias fenotípicas entre el híbrido y el parental.
Resumo:
The Pine Wood Nematode (PWN) Bursaphelenchus xylophilus is a severe forest pathogen in countries where it has been introduced and is considered a worldwide quarantine organism. In this study, protein markers for differentiating populations of this nematode were identified by studying differences among four selected Iberian and one American population. These populations were compared by quantitative proteomics (iTRAQ). From a total of 2860 proteins identified using the public database from the B. xylophilus genome project, 216 were unambiguous and significantly differentially regulated in the studied populations. Comparisons of their pairwise ratio were statistically treated and supported in order to convert them into discrete character states, suggesting that 141 proteins were not informative as population specific markers. Application of the Character Compatibility methodology on the remaining 75 proteins (belonging to families with different biological functions) excludes 27 which are incompatible among them. Considering only the compatible proteins, the method selects a subset of 30 specific unique protein markers which allowed the compared classification of the Iberian isolates. This approach makes it easier search for diagnostic tools and phylogenetic inference within species and populations of a pathogen exhibiting a high level of genetic diversity.
Resumo:
Aportes para la paz
Resumo:
Abstract: The objectives of this study were to evaluate the combined effects of soil bioticand abiotic factors on the incidence of Fusarium corn stalk rot, during four annual incorporations of two typesofsewagesludge intosoil ina 5-years field assay under tropical conditions and topredict the effectsof these variables on the disease. For each type of sewage sludge, the following treatments were included: control with mineral fertilization recommended for corn; control without fertilization; sewage sludge based on the nitrogen concentration that provided the same amount of nitrogen as in the mineral fertilizer treatment; and sewage sludge that provided two, four and eight times the nitrogen concentration recommended for corn. Increasing dosages of both types of sewage sludge incorporated into soil resulted in increased corn stalk rot incidence, being negatively correlated with corn yield. A global analysis highlighted the effect of the year of the experiment, followed by the sewage sludge dosages. The type of sewage sludge did not affect the disease incidence. Amultiple logistic model using a stepwise procedure was fitted based on the selection of a model that included the three explanatory parameters for disease incidence: electrical conductivity, magnesium and Fusarium population. In the selected model, the probability of higher disease incidence increased with an increase of these three explanatory parameters. When the explanatory parameters were compared, electrical conductivity presented a dominant effect and was the main variable to predict the probability distribution curves of Fusarium corn stalk rot, after sewage sludge application into the soil.