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Academica-e
Doctoral thesis . 2018
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Patho-adaptive evolution of Haemophilus spp. bacterial respiratory colonizing opportunistic pathogens

Authors: Moleres Apilluelo, Javier;

Patho-adaptive evolution of Haemophilus spp. bacterial respiratory colonizing opportunistic pathogens

Abstract

Esta tesis doctoral se ha centrado en tres aspectos de la pato-adaptación de dos especies bacterianas relacionadas filogenéticamente, que colonizan de forma asintomática y también son patógenos oportunistas en los sistemas respiratorios porcino y humano, respectivamente. Para ello, hemos analizado rasgos de evolución patoadaptativa bacteriana en un modelo de trabajo experimental (Capítulo 2) y de forma natural dentro del hospedador (Capítulos 1 y 3).

Este trabajo de tesis se ha llevado a cabo mediante el disfrute de un contrato de Formación de Personal Investigador (FPI) con referencia BES-2013-062644 por parte de Javier Moleres Apilluelo, adscrito a los proyectos SAF2012-31166 (enero 2014-diciembre 2015), SAF2015-66520-R (enero 2016-diciembre 2017) concedidos a la Dra. Junkal Garmendia García.

This PhD thesis work has been focused on three independent aspects of the pathoadaptation by two closely related bacterial species of host-restricted respiratory colonizing opportunistic pathogens. Bacterial patho-adaptive evolution has been considered in both experimental (Chapter 2) and within-host (Chapters 1 and 3) settings.

Programa de Doctorado en Biotecnología (RD 99/2011)

Bioteknologiako Doktoretza Programa (ED 99/2011)

Country
Spain
Related Organizations
Keywords

Bacterias patógenas oportunistas, Haemophilus parasuis, Oportunistic pathogens, Patho-adaptation, TREP, Haemophilus influenzae, Pato-adaptación

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green