Sex-biased genetic component distribution among populations: additive genetic and maternal contributions to phenotypic differences among populations of Chinook salmon
被引:20
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作者:
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机构:
Aykanat, T.
[1
]
Bryden, C. A.
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机构:
Stantec Ltd, Sidney, BC, CanadaUniv Windsor, Great Lakes Inst Environm Res, Windsor, ON N9B 3P4, Canada
Bryden, C. A.
[2
]
Heath, D. D.
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Univ Windsor, Great Lakes Inst Environm Res, Windsor, ON N9B 3P4, Canada
Univ Windsor, Dept Biol Sci, Windsor, ON N9B 3P4, CanadaUniv Windsor, Great Lakes Inst Environm Res, Windsor, ON N9B 3P4, Canada
Heath, D. D.
[1
,3
]
机构:
[1] Univ Windsor, Great Lakes Inst Environm Res, Windsor, ON N9B 3P4, Canada
Chinook salmon;
common garden designs;
fitness-related traits;
local adaptation;
maternal effects;
quantitative genetics;
ATLANTIC SALMON;
LOCAL ADAPTATION;
BODY-WEIGHT;
FRESH-WATER;
CONSEQUENCES;
EVOLUTION;
SURVIVAL;
PACIFIC;
TRAITS;
SALAR;
D O I:
10.1111/j.1420-9101.2012.02462.x
中图分类号:
Q14 [生态学(生物生态学)];
学科分类号:
071012 ;
0713 ;
摘要:
An approach frequently used to demonstrate a genetic basis for population-level phenotypic differences is to employ common garden rearing designs, where observed differences are assumed to be attributable to primarily additive genetic effects. Here, in two common garden experiments, we employed factorial breeding designs between wild and domestic, and among wild populations of Chinook salmon (Oncorhynchus tshawytscha). We measured the contribution of additive (VA) and maternal (VM) effects to the observed population differences for 17 life history and fitness-related traits. Our results show that, in general, maternal effects contribute more to phenotypic differences among populations than additive genetic effects. These results suggest that maternal effects are important in population phenotypic differentiation and also signify that the inclusion of the maternal source of variation is critical when employing models to test population differences in salmon, such as in local adaptation studies.
机构:
Penn State Univ, Dept Ecosyst Sci & Management, 323 Forest Resources Bldg, University Pk, PA 16802 USAPenn State Univ, Dept Ecosyst Sci & Management, 323 Forest Resources Bldg, University Pk, PA 16802 USA
Weathers, T. Casey
Kazyak, David C.
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US Geol Survey, Leetown Sci Ctr, Aquat Ecol Lab, 11649 Leetown Rd, Kearneysville, WV 25430 USAPenn State Univ, Dept Ecosyst Sci & Management, 323 Forest Resources Bldg, University Pk, PA 16802 USA
Kazyak, David C.
Stauffer, Jay R., Jr.
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Penn State Univ, Dept Ecosyst Sci & Management, 323 Forest Resources Bldg, University Pk, PA 16802 USAPenn State Univ, Dept Ecosyst Sci & Management, 323 Forest Resources Bldg, University Pk, PA 16802 USA
Stauffer, Jay R., Jr.
Kulp, Matt A.
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Natl Pk Serv, Resource Management & Sci Div, Great Smoky Mt Natl Pk, 107 Pk Headquarters Rd, Gatlinburg, TN 37738 USAPenn State Univ, Dept Ecosyst Sci & Management, 323 Forest Resources Bldg, University Pk, PA 16802 USA
Kulp, Matt A.
Moore, Stephen E.
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Natl Pk Serv, Resource Management & Sci Div, Great Smoky Mt Natl Pk, 107 Pk Headquarters Rd, Gatlinburg, TN 37738 USAPenn State Univ, Dept Ecosyst Sci & Management, 323 Forest Resources Bldg, University Pk, PA 16802 USA
Moore, Stephen E.
King, Tim L.
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US Geol Survey, Biol Resources Div, Leetown Sci Ctr, Aquat Ecol Lab, 11649 Leetown Rd, Kearneysville, WV 25430 USAPenn State Univ, Dept Ecosyst Sci & Management, 323 Forest Resources Bldg, University Pk, PA 16802 USA
King, Tim L.
Carlson, John E.
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Penn State Univ, Dept Ecosyst Sci & Management, 323 Forest Resources Bldg, University Pk, PA 16802 USAPenn State Univ, Dept Ecosyst Sci & Management, 323 Forest Resources Bldg, University Pk, PA 16802 USA