Literature DB >> 23478828

Comparative analysis of genetic parameters and quantitative trait loci for growth traits in Fraser strain Arctic charr (Salvelinus alpinus) reared in freshwater and brackish water environments.

M A Chiasson1, C D Quinton, R G Danzmann, M M Ferguson.   

Abstract

To determine the potential for genetic improvement in Fraser strain Arctic charr (AC, Salvelinus alpinus), we calculated genetic parameters for BW and condition factor (K) and tested if previously identified QTL for these traits were detectable across a commercial broodstock reared in both freshwater (FRW) and brackish water (BRW). Individuals from 30 full-sib families were reared up to 29 mo of age in FRW and BRW tanks at a commercial facility. Heritability for BW and K was moderate in FRW (0.29 to 0.38) but lower in BRW (0.14 to 0.17). Genetic correlations for BW across environments were positive and moderate (0.33 to 0.67); however, equivalent K correlations were very weak (0.24 to 0.37). We identified a single BW QTL with experimentwide effects on linkage group AC-8, 4 BW QTL (AC-4, -13, -14, and -19), and 3 K QTL (AC-4, -5, and -20) with chromosomewide effects across families. Notably, the QTL on AC-8 had significant effects with BW at 3 out of 4 sampling dates in FRW and had significant allelic phase disequilibrium with BW across families, suggesting a tight coupling of the marker region to the QTL in this population. Body weight QTL were identified on AC-4 in both FRW and BRW environments and AC-4 was the only linkage group with a detectable QTL for both K and BW. Modest consistency of some QTL effects as well as moderate heritability in both environments suggests that there is some potential for genetic improvement of growth in this species even though gene × environment interactions are high.

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Year:  2013        PMID: 23478828     DOI: 10.2527/jas.2012-5656

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  3 in total

1.  Does selection in a challenging environment produce Nile tilapia genotypes that can thrive in a range of production systems?

Authors:  Ngo Phu Thoa; Nguyen Huu Ninh; Wayne Knibb; Nguyen Hong Nguyen
Journal:  Sci Rep       Date:  2016-02-19       Impact factor: 4.379

2.  Effects of Genotype by Environment Interaction on Genetic Gain and Genetic Parameter Estimates in Red Tilapia (Oreochromis spp.).

Authors:  Nguyen H Nguyen; Azhar Hamzah; Ngo P Thoa
Journal:  Front Genet       Date:  2017-06-13       Impact factor: 4.599

3.  Design and characterization of an 87k SNP genotyping array for Arctic charr (Salvelinus alpinus).

Authors:  Cameron M Nugent; Jong S Leong; Kris A Christensen; Eric B Rondeau; Matthew K Brachmann; Anne A Easton; Christine L Ouellet-Fagg; Michelle T T Crown; William S Davidson; Ben F Koop; Roy G Danzmann; Moira M Ferguson
Journal:  PLoS One       Date:  2019-04-05       Impact factor: 3.240

  3 in total

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