Literature DB >> 15521457

Shifting patterns in genetic control at the embryo-alevin boundary in brook charr.

Guy M L Perry1, Céline Audet, Benjamin Laplatte, Louis Bernatchez.   

Abstract

Maternal inputs to offspring early in development are initially high but the process of development suggests that ontogenetic shifts in the importance of maternal genetic variation relative to other sources should occur. We investigated additive genetic variance and covariance for direct (animal), sire, and maternal effects on embryonic length (EL), yolk sac volume (YSV), and alevin (after yolk sac resorption) length (AL) for 460 embryonic and 460 alevin brook charr (Salvelinus fontinalis) in 23 half-sib families (12 sires, 23 dams). There were no additive genetic effects of sires or individual animals on their own phenotype using sire-dam and maternal-animal models for YSV or EL (h(a)2 < 0.05). However, at the alevin stage we detected low but significant heritability for AL (h(a)2 = 0.14 +/- 0.11). Conversely, maternal genetic effects were high for both embryonic traits (h(EL)2 = 0.61 +/- 0.05; h(YSU)2 = 0.57 +/- 0.06) but faded rapidly for postresorption length (h(AL)2 = 0.18 +/- 0.04). Maternal effects in the sire-dam model corresponded highly with those in the animal-dam model. We did not detect significant genetic covariance between progeny and dams for preresorption traits or between sires and dams for any trait. However, following resorption of the yolk sac, the genetic value of dams for AL was negatively correlated with that of individual progeny (r(m,a) = -0.38 +/- 0.13), suggesting trade-offs and/or stabilizing selection between maternal and animal genetic trait value. This finding was supported by models of dam fecundity on offspring length and dam weight in phenotypic space. Heritability estimates using simple regression of embryo phenotype on adult parental phenotype produced upwardly biased estimates of genetic variance (h2 > 1.0). We propose that development through the embryo-alevin boundary may be a major point in salmonids for ontogenetic changes in the genetic architecture of embryo size from maternal genetic effects to those of the individual organism, and that maternal-offspring conflicts in resource allocation related to size may be partially indicated by negative genetic covariance.

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Year:  2004        PMID: 15521457     DOI: 10.1111/j.0014-3820.2004.tb00485.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  6 in total

1.  Multigenerational hybridisation and its consequences for maternal effects in Atlantic salmon.

Authors:  P V Debes; D J Fraser; M C McBride; J A Hutchings
Journal:  Heredity (Edinb)       Date:  2013-05-08       Impact factor: 3.821

2.  The influence of parental effects on transcriptomic landscape during early development in brook charr (Salvelinus fontinalis, Mitchill).

Authors:  B Bougas; C Audet; L Bernatchez
Journal:  Heredity (Edinb)       Date:  2013-01-09       Impact factor: 3.821

3.  Genetically based population divergence in overwintering energy mobilization in brook charr (Salvelinus fontinalis).

Authors:  Amélie Crespel; Louis Bernatchez; Dany Garant; Céline Audet
Journal:  Genetica       Date:  2013-02-15       Impact factor: 1.082

4.  Heritability of morphology in brook trout with variable life histories.

Authors:  Anna Varian; Krista M Nichols
Journal:  PLoS One       Date:  2010-09-23       Impact factor: 3.240

5.  Thermal regime during parental sexual maturation, but not during offspring rearing, modulates DNA methylation in brook charr (Salvelinus fontinalis).

Authors:  Clare J Venney; Kyle W Wellband; Eric Normandeau; Carolyne Houle; Dany Garant; Céline Audet; Louis Bernatchez
Journal:  Proc Biol Sci       Date:  2022-05-04       Impact factor: 5.530

6.  Strain specific genotype-environment interactions and evolutionary potential for body mass in brook charr (Salvelinus fontinalis).

Authors:  Amélie Crespel; Louis Bernatchez; Céline Audet; Dany Garant
Journal:  G3 (Bethesda)       Date:  2013-03-01       Impact factor: 3.154

  6 in total

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