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Descripción
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| In the present work was to monitor the lung microbiota composition of 15 CF patients during a year in relation to their clinical data and antibiotic consumption. The fifteen CF-adults contributed with 3-4 induced sputum samples during a follow-up period of a year. Samples were processed for classical microbiology cultures and also submitted to massive sequenciation by bioinformatic analysis to determine the lung microbiota composition. A new computational model based was design to predict the ecological interactions of CF-pathogens and prey-predator bacteria along time. For this model we used as prey bacteria Pseudomonas, Staphylococcus and Haemophilus whereas the predator species were Vampirovibrio and Bdellovibrio. | |
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Internacional
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No |
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Nombre congreso
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XXII Congreso de Física Estadística (FisEs'18) [https://fises18.gefenol.es/] |
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Tipo de participación
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970 |
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Lugar del congreso
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Madrid (Spain) |
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Revisores
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Si |
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ISBN o ISSN
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CDP08UPM |
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DOI
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Fecha inicio congreso
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18/10/2018 |
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Fecha fin congreso
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20/10/2018 |
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Desde la página
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101 |
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Hasta la página
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101 |
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Título de las actas
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XXII Congreso de Física Estadística-FisEs'18--Libro de Resúmenes/Book of Abstracts [https://fises18.gefenol.es/media/uploads/editor/2018/11/06/libro_de_resumenes-fises18.pdf] |