Please use this identifier to cite or link to this item: 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
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