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Can dominance genetic variance be ignored in evolutionary quantitative genetic analyses of wild populations?
Tekijät: Class B, Brommer JE
Kustantaja: WILEY
Julkaisuvuosi: 2020
Journal: Evolution
Tietokannassa oleva lehden nimi: EVOLUTION
Lehden akronyymi: EVOLUTION
Vuosikerta: 74
Numero: 7
Aloitussivu: 1540
Lopetussivu: 1550
Sivujen määrä: 11
ISSN: 0014-3820
eISSN: 1558-5646
DOI: https://doi.org/10.1111/evo.14034
Verkko-osoite: https://doi.org/10.1111/evo.14034
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/48903560
Accurately estimating genetic variance components is important for studying evolution in the wild. Empirical work on domesticated and wild outbred populations suggests that dominance genetic variance represents a substantial part of genetic variance, and theoretical work predicts that ignoring dominance can inflate estimates of additive genetic variance. Whether this issue is pervasive in natural systems is unknown, because we lack estimates of dominance variance in wild populations obtained in situ. Here, we estimate dominance and additive genetic variance, maternal variance, and other sources of nongenetic variance in eight traits measured in over 9000 wild nestlings linked through a genetically resolved pedigree. We find that dominance variance, when estimable, does not statistically differ from zero and represents a modest amount (2-36%) of genetic variance. Simulations show that (1) inferences of all variance components for an average trait are unbiased; (2) the power to detect dominance variance is low; (3) ignoring dominance can mildly inflate additive genetic variance and heritability estimates but such inflation becomes substantial when maternal effects are also ignored. These findings hence suggest that dominance is a small source of phenotypic variance in the wild and highlight the importance of proper model construction for accurately estimating evolutionary potential.
Ladattava julkaisu This is an electronic reprint of the original article. |