Uncovering QTL for resistance and survival time to Philasterides dicentrarchi in turbot (Scophthalmus maximus)
Summary Disease resistance‐related traits have received increasing importance in aquaculture breeding programs worldwide. Currently, genomic information offers new possibilities in breeding to address the improvement of this kind of traits. The turbot is one of the most promising European aquacultur...
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creator | Rodríguez-Ramilo, S. T. Fernández, J. Toro, M. A. Bouza, C. Hermida, M. Fernández, C. Pardo, B. G. Cabaleiro, S. Martínez, P. |
description | Summary
Disease resistance‐related traits have received increasing importance in aquaculture breeding programs worldwide. Currently, genomic information offers new possibilities in breeding to address the improvement of this kind of traits. The turbot is one of the most promising European aquaculture species, and Philasterides dicentrarchi is a scuticociliate parasite causing fatal disease in farmed turbot. An appealing approach to fight against disease is to achieve a more robust broodstock, which could prevent or diminish the devastating effects of scuticociliatosis on farmed individuals. In the present study, a genome scan for quantitative trait loci (QTL) affecting resistance and survival time to P. dicentrarchi in four turbot families was carried out. The objectives were to identify QTL using different statistical approaches [linear regression (LR) and maximum likelihood (ML)] and to locate significantly associated markers for their application in genetic breeding strategies. Several genomic regions controlling resistance and survival time to P. dicentrarchi were detected. When analyzing each family separately, significant QTL for resistance were identified by the LR method in two linkage groups (LG1 and LG9) and for survival time in LG1, while the ML methodology identified QTL for resistance in LG9 and LG23 and for survival time in LG6 and LG23. The analysis of the total data set identified an additional significant QTL for resistance and survival time in LG3 with the LR method. Significant association between disease resistance‐related traits and genotypes was detected for several markers, a single one explaining up to 22% of the phenotypic variance. Obtained results will be essential to identify candidate genes for resistance and to apply them in marker‐assisted selection programs to improve turbot production. |
doi_str_mv | 10.1111/j.1365-2052.2012.02385.x |
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Disease resistance‐related traits have received increasing importance in aquaculture breeding programs worldwide. Currently, genomic information offers new possibilities in breeding to address the improvement of this kind of traits. The turbot is one of the most promising European aquaculture species, and Philasterides dicentrarchi is a scuticociliate parasite causing fatal disease in farmed turbot. An appealing approach to fight against disease is to achieve a more robust broodstock, which could prevent or diminish the devastating effects of scuticociliatosis on farmed individuals. In the present study, a genome scan for quantitative trait loci (QTL) affecting resistance and survival time to P. dicentrarchi in four turbot families was carried out. The objectives were to identify QTL using different statistical approaches [linear regression (LR) and maximum likelihood (ML)] and to locate significantly associated markers for their application in genetic breeding strategies. Several genomic regions controlling resistance and survival time to P. dicentrarchi were detected. When analyzing each family separately, significant QTL for resistance were identified by the LR method in two linkage groups (LG1 and LG9) and for survival time in LG1, while the ML methodology identified QTL for resistance in LG9 and LG23 and for survival time in LG6 and LG23. The analysis of the total data set identified an additional significant QTL for resistance and survival time in LG3 with the LR method. Significant association between disease resistance‐related traits and genotypes was detected for several markers, a single one explaining up to 22% of the phenotypic variance. Obtained results will be essential to identify candidate genes for resistance and to apply them in marker‐assisted selection programs to improve turbot production.</description><identifier>ISSN: 0268-9146</identifier><identifier>EISSN: 1365-2052</identifier><identifier>DOI: 10.1111/j.1365-2052.2012.02385.x</identifier><identifier>PMID: 22690723</identifier><identifier>CODEN: ANGEE3</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Animals ; Aquaculture - methods ; Breeding - methods ; Chromosome Mapping - veterinary ; Ciliophora Infections - genetics ; Ciliophora Infections - veterinary ; Disease Resistance - genetics ; Fish Diseases - genetics ; Fish Diseases - parasitology ; Flatfishes ; Genome-Wide Association Study - veterinary ; Genomics - methods ; Life Sciences ; Likelihood Functions ; Linear Models ; linear regression method ; Marine ; maximum likelihood method ; Oligohymenophorea ; Philasterides dicentrarchi ; quantitative trait loci ; Quantitative Trait Loci - genetics ; Scophthalmus maximus ; scuticociliatosis ; Survival Rate ; turbot</subject><ispartof>Animal genetics, 2013-04, Vol.44 (2), p.149-157</ispartof><rights>2012 The Authors, Animal Genetics © 2012 Stichting International Foundation for Animal Genetics</rights><rights>2012 The Authors, Animal Genetics © 2012 Stichting International Foundation for Animal Genetics.</rights><rights>Animal Genetics © 2013 Stichting International Foundation for Animal Genetics</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0001-7150-0692</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1365-2052.2012.02385.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1365-2052.2012.02385.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22690723$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01465160$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Rodríguez-Ramilo, S. T.</creatorcontrib><creatorcontrib>Fernández, J.</creatorcontrib><creatorcontrib>Toro, M. A.</creatorcontrib><creatorcontrib>Bouza, C.</creatorcontrib><creatorcontrib>Hermida, M.</creatorcontrib><creatorcontrib>Fernández, C.</creatorcontrib><creatorcontrib>Pardo, B. G.</creatorcontrib><creatorcontrib>Cabaleiro, S.</creatorcontrib><creatorcontrib>Martínez, P.</creatorcontrib><title>Uncovering QTL for resistance and survival time to Philasterides dicentrarchi in turbot (Scophthalmus maximus)</title><title>Animal genetics</title><addtitle>Anim Genet</addtitle><description>Summary
Disease resistance‐related traits have received increasing importance in aquaculture breeding programs worldwide. Currently, genomic information offers new possibilities in breeding to address the improvement of this kind of traits. The turbot is one of the most promising European aquaculture species, and Philasterides dicentrarchi is a scuticociliate parasite causing fatal disease in farmed turbot. An appealing approach to fight against disease is to achieve a more robust broodstock, which could prevent or diminish the devastating effects of scuticociliatosis on farmed individuals. In the present study, a genome scan for quantitative trait loci (QTL) affecting resistance and survival time to P. dicentrarchi in four turbot families was carried out. The objectives were to identify QTL using different statistical approaches [linear regression (LR) and maximum likelihood (ML)] and to locate significantly associated markers for their application in genetic breeding strategies. Several genomic regions controlling resistance and survival time to P. dicentrarchi were detected. When analyzing each family separately, significant QTL for resistance were identified by the LR method in two linkage groups (LG1 and LG9) and for survival time in LG1, while the ML methodology identified QTL for resistance in LG9 and LG23 and for survival time in LG6 and LG23. The analysis of the total data set identified an additional significant QTL for resistance and survival time in LG3 with the LR method. Significant association between disease resistance‐related traits and genotypes was detected for several markers, a single one explaining up to 22% of the phenotypic variance. Obtained results will be essential to identify candidate genes for resistance and to apply them in marker‐assisted selection programs to improve turbot production.</description><subject>Animals</subject><subject>Aquaculture - methods</subject><subject>Breeding - methods</subject><subject>Chromosome Mapping - veterinary</subject><subject>Ciliophora Infections - genetics</subject><subject>Ciliophora Infections - veterinary</subject><subject>Disease Resistance - genetics</subject><subject>Fish Diseases - genetics</subject><subject>Fish Diseases - parasitology</subject><subject>Flatfishes</subject><subject>Genome-Wide Association Study - veterinary</subject><subject>Genomics - methods</subject><subject>Life Sciences</subject><subject>Likelihood Functions</subject><subject>Linear Models</subject><subject>linear regression method</subject><subject>Marine</subject><subject>maximum likelihood method</subject><subject>Oligohymenophorea</subject><subject>Philasterides dicentrarchi</subject><subject>quantitative trait loci</subject><subject>Quantitative Trait Loci - genetics</subject><subject>Scophthalmus maximus</subject><subject>scuticociliatosis</subject><subject>Survival Rate</subject><subject>turbot</subject><issn>0268-9146</issn><issn>1365-2052</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkk1vEzEQhi0EoqHwF5AlLu1ht2M79u4eOERVSRBRCyIV3Czb8bIO-5Hau2n67-ttSg494cuMPM_rj3kHIUwgJXFdbFLCBE8ocJpSIDQFynKe7l-hybHwGk2AijwpyFScoHchbAAgJxl5i04oFQVklE1Qe9uabme9a__gH6slLjuPvQ0u9Ko1Fqt2jcPgd26naty7xuK-w98rV6vQR9HaBrx2xra9V95UDrsW94PXXY_PfppuW_WVqpsh4EbtXYzn79GbUtXBfniOp-j2y9XqcpEsb-ZfL2fLpGJFzpNSUcMF51NdcpJzVTAORluheQ5TAZkuheVFTo3NilJTnZVGC6CF5oTEjLBTdH44N94vt941yj_ITjm5mC3luAexK5wI2I3s2YHd-u5usKGXjQvG1rVqbTcESVhsLoCA_D9QwgmbioJG9NMLdNMNvo2floRTQQXJsyJSH5-pQTd2fXzqP4Mi8PkA3LvaPhzrBOQ4CHIjR7_l6LccB0E-DYLcy9n8asyiPjnoo6N2f9Qr_1eKjGVc_rqey9_Xi298TjK5Yo9OHLPi</recordid><startdate>201304</startdate><enddate>201304</enddate><creator>Rodríguez-Ramilo, S. 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G.</creator><creator>Cabaleiro, S.</creator><creator>Martínez, P.</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><general>Wiley-Blackwell</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7TK</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>7TN</scope><scope>F1W</scope><scope>H95</scope><scope>H98</scope><scope>L.G</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0001-7150-0692</orcidid></search><sort><creationdate>201304</creationdate><title>Uncovering QTL for resistance and survival time to Philasterides dicentrarchi in turbot (Scophthalmus maximus)</title><author>Rodríguez-Ramilo, S. T. ; Fernández, J. ; Toro, M. A. ; Bouza, C. ; Hermida, M. ; Fernández, C. ; Pardo, B. 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G.</creatorcontrib><creatorcontrib>Cabaleiro, S.</creatorcontrib><creatorcontrib>Martínez, P.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Aquaculture Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Animal genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rodríguez-Ramilo, S. T.</au><au>Fernández, J.</au><au>Toro, M. A.</au><au>Bouza, C.</au><au>Hermida, M.</au><au>Fernández, C.</au><au>Pardo, B. G.</au><au>Cabaleiro, S.</au><au>Martínez, P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Uncovering QTL for resistance and survival time to Philasterides dicentrarchi in turbot (Scophthalmus maximus)</atitle><jtitle>Animal genetics</jtitle><addtitle>Anim Genet</addtitle><date>2013-04</date><risdate>2013</risdate><volume>44</volume><issue>2</issue><spage>149</spage><epage>157</epage><pages>149-157</pages><issn>0268-9146</issn><eissn>1365-2052</eissn><coden>ANGEE3</coden><abstract>Summary
Disease resistance‐related traits have received increasing importance in aquaculture breeding programs worldwide. Currently, genomic information offers new possibilities in breeding to address the improvement of this kind of traits. The turbot is one of the most promising European aquaculture species, and Philasterides dicentrarchi is a scuticociliate parasite causing fatal disease in farmed turbot. An appealing approach to fight against disease is to achieve a more robust broodstock, which could prevent or diminish the devastating effects of scuticociliatosis on farmed individuals. In the present study, a genome scan for quantitative trait loci (QTL) affecting resistance and survival time to P. dicentrarchi in four turbot families was carried out. The objectives were to identify QTL using different statistical approaches [linear regression (LR) and maximum likelihood (ML)] and to locate significantly associated markers for their application in genetic breeding strategies. Several genomic regions controlling resistance and survival time to P. dicentrarchi were detected. When analyzing each family separately, significant QTL for resistance were identified by the LR method in two linkage groups (LG1 and LG9) and for survival time in LG1, while the ML methodology identified QTL for resistance in LG9 and LG23 and for survival time in LG6 and LG23. The analysis of the total data set identified an additional significant QTL for resistance and survival time in LG3 with the LR method. Significant association between disease resistance‐related traits and genotypes was detected for several markers, a single one explaining up to 22% of the phenotypic variance. Obtained results will be essential to identify candidate genes for resistance and to apply them in marker‐assisted selection programs to improve turbot production.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>22690723</pmid><doi>10.1111/j.1365-2052.2012.02385.x</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-7150-0692</orcidid></addata></record> |
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subjects | Animals Aquaculture - methods Breeding - methods Chromosome Mapping - veterinary Ciliophora Infections - genetics Ciliophora Infections - veterinary Disease Resistance - genetics Fish Diseases - genetics Fish Diseases - parasitology Flatfishes Genome-Wide Association Study - veterinary Genomics - methods Life Sciences Likelihood Functions Linear Models linear regression method Marine maximum likelihood method Oligohymenophorea Philasterides dicentrarchi quantitative trait loci Quantitative Trait Loci - genetics Scophthalmus maximus scuticociliatosis Survival Rate turbot |
title | Uncovering QTL for resistance and survival time to Philasterides dicentrarchi in turbot (Scophthalmus maximus) |
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