Detection of growth-related QTL in turbot (Scophthalmus maximus)
Background The turbot (Scophthalmus maximus) is a highly appreciated European aquaculture species. Growth related traits constitute the main goal of the ongoing genetic breeding programs of this species. The recent construction of a consensus linkage map in this species has allowed the selection of...
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ftcsic:oai:digital.csic.es:10261/291300 2024-02-11T10:08:26+01:00 Detection of growth-related QTL in turbot (Scophthalmus maximus) Sánchez-Molano, E. Cerna, A. Toro, M. A. Bouza, C. Hermida, M. Pardo, B. G. Cabaleiro, S. Fernández, J. Martínez, P. 2011 https://hdl.handle.net/20.500.12792/4104 http://hdl.handle.net/10261/291300 https://doi.org/10.1186/1471-2164-12-473 en eng BioMed Central BMC Genomics 12: e473 (2011) http://hdl.handle.net/20.500.12792/4104 http://hdl.handle.net/10261/291300 doi:10.1186/1471-2164-12-473 1471-2164 21958071 open artículo 2011 ftcsic https://doi.org/20.500.12792/410410.1186/1471-2164-12-473 2024-01-16T11:35:33Z Background The turbot (Scophthalmus maximus) is a highly appreciated European aquaculture species. Growth related traits constitute the main goal of the ongoing genetic breeding programs of this species. The recent construction of a consensus linkage map in this species has allowed the selection of a panel of 100 homogeneously distributed markers covering the 26 linkage groups (LG) suitable for QTL search. In this study we addressed the detection of QTL with effect on body weight, length and Fulton's condition factor.Results Eight families from two genetic breeding programs comprising 814 individuals were used to search for growth related QTL using the panel of microsatellites available for QTL screening. Two different approaches, maximum likelihood and regression interval mapping, were used in order to search for QTL. Up to eleven significant QTL were detected with both methods in at least one family four for weight on LGs 5, 14, 15 and 16; five for length on LGs 5, 6, 12, 14 and 15; and two for Fulton's condition factor on LGs 3 and 16. In these LGs an association analysis was performed to ascertain the microsatellite marker with the highest apparent effect on the trait, in order to test the possibility of using them for marker assisted selection.Conclusions The use of regression interval mapping and maximum likelihood methods for QTL detection provided consistent results in many cases, although the high variation observed for traits mean among families made it difficult to evaluate QTL effects. Finer mapping of detected QTL, looking for tightly linked markers to the causative mutation, and comparative genomics are suggested to deepen in the analysis of QTL in turbot so they can be applied in marker assisted selection programs. © 2011 Sánchez-Molano et al; licensee BioMed Central Ltd. Article in Journal/Newspaper Scophthalmus maximus Turbot Digital.CSIC (Spanish National Research Council) BMC Genomics 12 1 |
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Digital.CSIC (Spanish National Research Council) |
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ftcsic |
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English |
description |
Background The turbot (Scophthalmus maximus) is a highly appreciated European aquaculture species. Growth related traits constitute the main goal of the ongoing genetic breeding programs of this species. The recent construction of a consensus linkage map in this species has allowed the selection of a panel of 100 homogeneously distributed markers covering the 26 linkage groups (LG) suitable for QTL search. In this study we addressed the detection of QTL with effect on body weight, length and Fulton's condition factor.Results Eight families from two genetic breeding programs comprising 814 individuals were used to search for growth related QTL using the panel of microsatellites available for QTL screening. Two different approaches, maximum likelihood and regression interval mapping, were used in order to search for QTL. Up to eleven significant QTL were detected with both methods in at least one family four for weight on LGs 5, 14, 15 and 16; five for length on LGs 5, 6, 12, 14 and 15; and two for Fulton's condition factor on LGs 3 and 16. In these LGs an association analysis was performed to ascertain the microsatellite marker with the highest apparent effect on the trait, in order to test the possibility of using them for marker assisted selection.Conclusions The use of regression interval mapping and maximum likelihood methods for QTL detection provided consistent results in many cases, although the high variation observed for traits mean among families made it difficult to evaluate QTL effects. Finer mapping of detected QTL, looking for tightly linked markers to the causative mutation, and comparative genomics are suggested to deepen in the analysis of QTL in turbot so they can be applied in marker assisted selection programs. © 2011 Sánchez-Molano et al; licensee BioMed Central Ltd. |
format |
Article in Journal/Newspaper |
author |
Sánchez-Molano, E. Cerna, A. Toro, M. A. Bouza, C. Hermida, M. Pardo, B. G. Cabaleiro, S. Fernández, J. Martínez, P. |
spellingShingle |
Sánchez-Molano, E. Cerna, A. Toro, M. A. Bouza, C. Hermida, M. Pardo, B. G. Cabaleiro, S. Fernández, J. Martínez, P. Detection of growth-related QTL in turbot (Scophthalmus maximus) |
author_facet |
Sánchez-Molano, E. Cerna, A. Toro, M. A. Bouza, C. Hermida, M. Pardo, B. G. Cabaleiro, S. Fernández, J. Martínez, P. |
author_sort |
Sánchez-Molano, E. |
title |
Detection of growth-related QTL in turbot (Scophthalmus maximus) |
title_short |
Detection of growth-related QTL in turbot (Scophthalmus maximus) |
title_full |
Detection of growth-related QTL in turbot (Scophthalmus maximus) |
title_fullStr |
Detection of growth-related QTL in turbot (Scophthalmus maximus) |
title_full_unstemmed |
Detection of growth-related QTL in turbot (Scophthalmus maximus) |
title_sort |
detection of growth-related qtl in turbot (scophthalmus maximus) |
publisher |
BioMed Central |
publishDate |
2011 |
url |
https://hdl.handle.net/20.500.12792/4104 http://hdl.handle.net/10261/291300 https://doi.org/10.1186/1471-2164-12-473 |
genre |
Scophthalmus maximus Turbot |
genre_facet |
Scophthalmus maximus Turbot |
op_relation |
BMC Genomics 12: e473 (2011) http://hdl.handle.net/20.500.12792/4104 http://hdl.handle.net/10261/291300 doi:10.1186/1471-2164-12-473 1471-2164 21958071 |
op_rights |
open |
op_doi |
https://doi.org/20.500.12792/410410.1186/1471-2164-12-473 |
container_title |
BMC Genomics |
container_volume |
12 |
container_issue |
1 |
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1790607766191079424 |