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Data from: Protein deprivation facilitates the independent evolution of behavior and morphology
负责人:
关键词:
evolvability;autonomy;nutrition;genetic covariance;genotype-by-environment interaction
DOI:
doi:10.5061/dryad.7rt21s4
摘要:
adaptive trait correlations can become maladaptive following rapid environmental change, poor or stressful environments are expected to weaken genetic covariance
Data from: Social cues affect quantitative genetic variation and covariation in animal personality traits
负责人:
Rudin, Fabian Sandro
关键词:
Acoustic sexual signals Heritability Personality Evolvability Social environment
DOI:
doi:10.5061/dryad.n50t281
摘要:
covariance matrices across the two environments, while the genotypic covariance matrices were highly dissimilar. Reflecting this, we found significant
Data from: Genotype-by-environment interactions underlie the expression of pre- and postcopulatory sexually selected traits in guppies
负责人:
关键词:
quantitative genetics;sexual selection;Poecilia reticulata;genetic variance;Condition dependence
DOI:
doi:10.5061/dryad.g753g
摘要:
of polymorphism in sexual traits typically reported for this species. Furthermore, the presence of environment-specific genetic covariance suggests that trade-offs
Data from: Demographic history and adaptation account for clock gene diversity in humans
负责人:
关键词:
environment;natural selection;population structure;Adaptation;Clock genes
DOI:
doi:10.5061/dryad.pr078
摘要:
e environmental variables. Only two SNPs from two genes (NPAS2 and AANAT) exhibit both elevated population differentiation and covariance with at least one
Data from: Shared genes but not shared genetic variation: legume colonization by two belowground symbionts
负责人:
关键词:
DOI:
doi:10.5061/dryad.kr6c9
摘要:
fasciculata grown in two phosphorous environments (fertilized and unfertilized), positive covariance between nodule number and plant abovegro
Data from: Personality-matching habitat choice, rather than behavioural plasticity, is a likely driver of a phenotypeenvironment covariance
负责人:
Holtmann, Benedikt
关键词:
animal personality dispersal genotype-environment covariance habitat selection human disturbance repeatability
DOI:
doi:10.5061/dryad.t8t25
摘要:
duals in a heterogeneous environment. We found evidence for bold individuals settling in areas with high human disturbance, but also that birds became bolder with increasing age
Data from: The causes of selection on flowering time through male fitness in a hermaphroditic annual plant
负责人:
关键词:
paternity analysis;Brassica rapa;Life history;phenology;social selection;habitat choice;mate fecundity
DOI:
doi:10.5061/dryad.5g5rp
摘要:
ween flowering time and the environment experienced during reproduction. To isolate these intrinsically correlated associations, we staggered plant
Data from: Shared spatial effects on quantitative genetic parameters: accounting for spatial autocorrelation and home range overlap reduces estimates
负责人:
Stopher, Katie V.
关键词:
Heritability Micro-evolution Animal model Additive genetic variance Maternal effects Resource heterogeneity
DOI:
doi:10.5061/dryad.jf04r362
摘要:
s, up to an order of magnitude up for home range size. Our results highlight the potential of multiple covariance matrices to dissect environmental, socia
Data from: Thermal adaptation of cellular membranes in natural populations of Drosophila melanogaster
负责人:
关键词:
acclimation;cellular membranes;thermal adaptation;Phenotypic Plasticity;homeoviscous adaptation;drosophila melanogaster
DOI:
doi:10.5061/dryad.96pr7
摘要:
s of the glycerophospholipids phosphatidylethanolamine (PE) and phosphatidylcholine (PC) underlies cellular adaptation to temporal variability in the thermal environment
Data from: Estimating selection through male fitness: three complementary methods illuminate the nature and causes of selection on flowering time
负责人:
关键词:
paternity analysis;Experimental evolution;natural selection;Brassica rapa;flowering time;phenology;genotype-environment covariance
DOI:
doi:10.5061/dryad.5k4m2
摘要:
t negative environmental covariance between age at flowering and male fitness may have contributed to phenotypic selection. Together, the three methods

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