New algorithms for automated phylogenetic reconstruction using artificial intelligence and data mining techniques

Academic and industrial research in the late 90s have brought about an exponential explosion of DNA sequence data. Automated expert systems are being created to help biologists to extract patterns, trends and links from this ever-deepening ocean of information. Two such systems aimed on retrieving and subsequently utilizing phylogenetically relevant information have been developed in this dissertation, the major objective of which was to automate the often difficult and confusing phylogenetic reconstruction process. ^ Popular phylogenetic reconstruction methods, such as distance-based methods, attempt to find an optimal tree topology (that reflects the relationships among related sequences and their evolutionary history) by searching through the topology space. Various compromises between the fast (but incomplete) and exhaustive (but computationally prohibitive) search heuristics have been suggested. An intelligent compromise algorithm that relies on a flexible “beam” search principle from the Artificial Intelligence domain and uses the pre-computed local topology reliability information to adjust the beam search space continuously is described in the second chapter of this dissertation. ^ However, sometimes even a (virtually) complete distance-based method is inferior to the significantly more elaborate (and computationally expensive) maximum likelihood (ML) method. In fact, depending on the nature of the sequence data in question either method might prove to be superior. Therefore, it is difficult (even for an expert) to tell a priori which phylogenetic reconstruction method—distance-based, ML or maybe maximum parsimony (MP)—should be chosen for any particular data set. ^ A number of factors, often hidden, influence the performance of a method. For example, it is generally understood that for a phylogenetically “difficult” data set more sophisticated methods (e.g., ML) tend to be more effective and thus should be chosen. However, it is the interplay of many factors that one needs to consider in order to avoid choosing an inferior method (potentially a costly mistake, both in terms of computational expenses and in terms of reconstruction accuracy.) ^ Chapter III of this dissertation details a phylogenetic reconstruction expert system that selects a superior proper method automatically. It uses a classifier (a Decision Tree-inducing algorithm) to map a new data set to the proper phylogenetic reconstruction method. ^

Function of histaminergic retinopetal axons in rat and primate retinas

Mammalian retinas receive input from histaminergic neurons in the posterior hypothalamus. These neurons are most active during the waking state of the animal, but their role in retinal information processing is not known. To determine the function of these retinopetal axons, their targets in the rat and monkey retina were identified. Using antibodies to three histamine receptors, HR1, HR2, and HR3, the immunolabeling was analyzed by confocal and electron microscopy. These experiments showed that mammalian retinas possess histamine receptors. In macaques and baboons, diurnal species, HR3 receptors were found at the apex of ON-bipolar cell dendrites in cone pedicles and rod spherules, sclerad to the other neurotransmitter receptors that have been localized there. In addition, HR1 histamine receptors were localized to large puncta in the inner plexiform layer, a subset of ganglion cells and retinal blood vessels. In rats, a nocturnal species, the localization of histamine receptors in the retina was markedly different. Most HR1 receptors were localized to dopaminergic amacrine cells and on elements in the rod spherule. To determine how histaminergic retinopetal axons contribute to retinal information processing, responses of retinal ganglion cells to histamine were analyzed. The effects of histamine on the maintained and light-evoked activity of retinal ganglion cells were analyzed. In monkeys, histamine and the HR3 agonist, methylhistamine, increased or decreased the maintained activity of most ganglion cells, but a few did not respond. The responses of a subset of ganglion cells to light stimuli were decreased by histamine, a finding suggesting that histaminergic retinopetal axons contribute to light adaptation during the day. In rats, histamine nearly always increased the maintained activity and produced both increases and decreases in the light responses. The effects of histamine on maintained activity of ganglion cells in the rat can be partially attributed to HR1-mediated changes in the activity of dopaminergic amacrine cells, at night. Together, these experiments provide the first indication of the function of retinopetal axons in mammalian retinas. ^

Grapholita molesta : caracterización de una cría artificial

Grapholita molesta (Busck) es considerada plaga principal del duraznero en Mendoza. Sus larvas han sido criadas, en condiciones de laboratorio, con dietas naturales por diversos autores. Los objetivos fueron: 1. poner a punto la cría artificial de la especie; 2. diseñar una jaula para el apareamiento y la oviposición de los adultos; 3. evaluar la eficiencia de la jaula y la dieta larvaria mediante grados día, ciclo biológico, peso de pupas, recuperación de huevoadulto, fecundidad, viabilidad y longevidad. La cría artificial de una especie constituye una herramienta para profundizar sus conocimientos bioetoecológicos y, en consecuencia, aplicarlos en su control. En 1996 se fundó una cría con larvas salvajes alimentadas con manzanas verdes pequeñas del cv. Granny Smith. Los adultos se desarrollaron en una jaula especialmente diseñada. En el ciclo biológico, la recuperación huevo-adulto y la fecundidad se obtuvieron valores superiores a los citados por otros autores pero no ocurrió lo mismo con las otras variables. La cría artificial de Grapholita molesta (Busck) se logró desarrollar por 37 generaciones y la alta fecundidad obtenida es una clave fundamental en el éxito de su mantenimiento.

Evaluación de los efectos de la composición de la dieta artificial para la cría de Diatraea saccharalis (Lepidoptera: Crambidae) y Cotesia flavipes (Hymenoptera: Braconidae)

El control biológico aumentativo de Diatrae saccharalis Fabricius (Lepidoptera: Crambidae) requiere la cría masiva del parasitoide Cotesia flavipes Cameron (Braconidae: Microgastrinae) y por ello, es necesario el desarrollo de dietas artificiales eficientes. El objetivo fue examinar los efectos de distintos tipos de dieta sobre parámetros biológicos de D. saccharalis y su impacto en la producción de cocones de C. flavipes. Se sembraron 46136 huevos de D. saccharalis en once combinaciones de dietas artificiales, con dos tipos de harinas y tres tipos de antibióticos. Los resultados mostraron que la composición de la dieta afectó los parámetros biológicos de ambas especies. La mayor eficiencia en la cría se obtuvo con el empleo de combinaciones de harina de poroto y ampicilina. Sin embargo, si se considera la relación entre costos de producción y parámetros biológicos, la dieta con harina de poroto, oxitetraciclina y estreptomicina resulta más adecuada para la cría masiva.