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                <title xml:lang="en">Compilation of QTL for resistance to bacterial, parasitic and viral diseases in turbot (Scophthalmus maximus)</title>
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                  <title>ISGA XII. International Symposium on Genetics in Aquaculture XII</title>
                  <date type="start">2015-06-21</date>
                  <date type="end">2015-06-27</date>
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                <term xml:lang="en">marker assisted selection</term>
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              <p>The culture of turbot is a well-established process. However, several infectious diseases caused by bacteria, parasites and viruses represent one of the most relevant limiting factors, causing severe economic losses. Consequently, one of the main objectives of genetic breeding programs in turbot industry is to reduce disease-related problems (mortality, slow growth, etc.). The objective of this study was to identify specific and general disease-resistance genomic regions related to the main pathogens for turbot culture. For this purpose, a comparison between QTL detected for resistance and survival time to the bacteria Aeromonas salmonicida (furunculosis), the parasite Philasterides dicentrarchi (scuticociliatosis) and the haemorrhagic septicaemia virus (VHS) was carried out. Eleven full-sib families of approximately 100 individuals each were analysed. Four families were evaluated for resistance to furunculosis, 3 families were tested for VHS, and 4 families were analysed for scuticociliatosis. All individuals were analysed with the same consensus genetic map. Several linkage groups (LG1, LG5 and LG6) showed QTL associated to the response to the three pathogens, suggesting genomic regions involved in general immunity. Notwithstanding, some disease specific genomic regions were also detected for furunculosis (LG12 and LG18), scuticociliatosis (LG3, LG7, LG10 and LG23) and VHS (LG8, LG20 and LG21). Additionally, other linkage groups shared common QTL for furunculosis and scuticociliatosis (LG4, LG9, LG11, LG13 and LG16), and for scuticociliatosis and VHS (LG2, LG15 and LG17). No QTL involved in the resistance/ survival to any of the three pathogens were detected in LG14, LG19 and LG22. A gene mining approach identified candidate genes related to general or specific immunity. These findings will aid to develop marker assisted selection programs to improve turbot production.</p>
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