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https://doi.org/10.1186/1471-2164-7-274
Title: | A genome scan for quantitative trait loci affecting growth-related traits in an F1 family of Asian seabass (Lates calcarifer) | Authors: | Wang, C.M Lo, L.C Zhu, Z.Y Yue, G.H |
Keywords: | animal cell article body growth body height body weight breeding chromosome analysis controlled study environmental factor female fish gene identification genetic analysis genetic linkage genetic trait genotype phenotype correlation male nonhuman phenotypic variation quantitative trait locus quantitative trait locus mapping Animals Bass Body Size Body Weight Chromosome Mapping Chromosomes Genetic Linkage Genome Genotype Microsatellite Repeats Quantitative Trait Loci Lates calcarifer |
Issue Date: | 2006 | Publisher: | BioMed Central Ltd. | Citation: | Wang, C.M, Lo, L.C, Zhu, Z.Y, Yue, G.H (2006). A genome scan for quantitative trait loci affecting growth-related traits in an F1 family of Asian seabass (Lates calcarifer). BMC Genomics 7 : 274. ScholarBank@NUS Repository. https://doi.org/10.1186/1471-2164-7-274 | Abstract: | Background: Body weight and length are economically important traits in foodfish species influenced by quantitative trait loci (QTL) and environmental factors. It is usually difficult to dissect the genetic and environmental effects. Asian seabass (Lates calcarifer) is an important marine foodfish species with a compact genome (~700 Mb). The recent construction of a first generation linkage map of Asian seabass with 240 microsatellites provides a good opportunity to determine the number and position of QTL, and the magnitude of QTL effects with a genome scan. Results: We conducted a genome scan for QTL affecting body weight, standard length and condition factors in an F1 family containing 380 full-sib individuals from a breeding stock by using 97 microsatellites evenly covering 24 chromosomes. Interval mapping and multiple QTL model mapping detected five significant and 27 suggestive QTL on ten linkage groups (LGs). Among the five significant QTL detected, three (qBW2-a, qTL2-a and qSL2-a) controlling body weight, total and standard length respectively, were mapped on the same region near Lca287 on LG2, and explained 28.8, 58.9 and 59.7% of the phenotypic variance. The other two QTL affecting body weight, qBW2-b and qBW3, were located on LG2 and 3, and accounted for 6.4 and 8.8% of the phenotypic variance. Suggestive QTL associated with condition factors are located on six different LGs. Conclusion: This study presents the first example of QTL detection for growth-related traits in an F1 family of a marine foodfish species. The results presented here will enable further finemapping of these QTL for marker-assisted selection of the Asian seabass, eventually identifying individual genes responsible for growth-related traits. © 2006 Wang et al; licensee BioMed Central Ltd. | Source Title: | BMC Genomics | URI: | https://scholarbank.nus.edu.sg/handle/10635/174465 | ISSN: | 14712164 | DOI: | 10.1186/1471-2164-7-274 |
Appears in Collections: | Elements Staff Publications |
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