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Data from: Independent axes of genetic variation and parallel evolutionary divergence of opercle bone shape in threespine stickleback
负责人:
关键词:
Recent;G matrix;genetic constraint;microevolution;genetic basis of traits;genetic bias;quantitative genetics;Gasterosteus aculeatus
DOI:
doi:10.5061/dryad.540k5
摘要:
-covariance matrix (G) of opercle shape in an Alaskan oceanic (putative ancestral) population. We find significant additive genetic variance for opercle shape and tha
Data from: A multivariate analysis of genetic variation in the advertisement call of the gray treefrog, Hyla versicolor
负责人:
关键词:
Genetic Variation;trade-offs;Hyla versicolor;Signaling\/Courtship;Selection - Sexual;heritability;quantitative genetics
DOI:
doi:10.5061/dryad.40sj6
摘要:
a quantitative genetics experiment with gray treefrogs (Hyla versicolor) to investigate genetic variances and covariances among features of the male adverti
Data from: Can dominance genetic variance be ignored in evolutionary quantitative genetic analyses of wild populations?
负责人:
关键词:
dominance genetic variance;animal model;juveniles;Cyanistes caeruleus;wild population;quantitative genetics
DOI:
doi:10.5061/dryad.zpc866t6d
摘要:
pedigree. We find that dominance variance, when estimable, does not statistically differ from zero and represents a modest amount (2-36%) of genetic variance
Data from: Imprints from genetic drift and mutation imply relative divergence times across marine transition zones in a pan-European
负责人:
关键词:
transition zones;Mutation;marine fish;genetic drift;Sprattus sprattus;phylogeography
DOI:
doi:10.5061/dryad.m247bg66
摘要:
of genetic drift over mutations in the northern distribution of sprat contrasting a stronger relative impact of mutation in the species southern distributi
Data from: Effect of habitat fragmentation on the genetic diversity of peripheral populations of beech in Central Italy
负责人:
关键词:
gene flow;population genetics;forest genetics;Fagus sylvatica
DOI:
doi:10.5061/dryad.34q04288
摘要:
Fragmentation can affect the demographic and genetic structure of populations near the boundary of their bio-geographic range. Higher genetic differentiati
Data from: Quantitative genetic variance in experimental fly populations evolving with or without environmental heterogeneity
负责人:
关键词:
Genetic Variation;Selection - Experimental;quantitative genetics;drosophila melanogaster
DOI:
doi:10.5061/dryad.sr3g0
摘要:
environment is to the environment of past selection. Here we measure quantitative genetic variance for three traits important for fitness using replic
Data from: Epigenetic variation reflects dynamic habitat conditions in a rare floodplain herb
负责人:
关键词:
MSAP;Viola elatior;Methylation;environmental gradient;AFLP;ecological epigenetics;Violaceae
DOI:
doi:10.5061/dryad.m1b66
摘要:
ons, thus compensating for the relatively slow response time of genetic adaptations. However, genetic and epigenetic variation of wild plant populations ha
Data from: The Red Death meets the abdominal bristle: polygenic mutation for susceptibility to a bacterial pathogen in Caenorhabditis elegans
负责人:
关键词:
LT50;mutation accumulation;Caenorhabditis elegans;mutational bias;Pseudomonas aeruginosa;spontaneous mutation;present;mutational variance
DOI:
doi:10.5061/dryad.33fv8
摘要:
rd understanding the genetics and evolution of any phenotypic trait is characterizing the role of mutation. However, the rate at which mutation introduces genetic variance
Data from: Multiple evolutionary pathways to decreased lateral plate coverage in freshwater threespine sticklebacks
负责人:
关键词:
Genetic Variation;adaptive radiation;Morphological Evolution;molecular evolution;quantitative genetics;Gasterosteus aculeatus;Adaptation
DOI:
doi:10.5061/dryad.s6h18
摘要:
Adaptation to novel environments can be based either on standing genetic variation or variation attributable to new mutations
Data from: Evolutionary constraints in high-dimensional trait sets
负责人:
关键词:
Selection: artificial;Genetics: quantitative;Genetics: evolutionary;Drosophila serrata
DOI:
doi:10.5061/dryad.tp979
摘要:
arly null subspace did limit evolution. Dimensions associated with low genetic variance are often found in multivariate analyses of standing genetic variance

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