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Data from: Multivariate adaptation but no increase in competitive ability in invasive Geranium carolinianum L. (Geraniaceae)
负责人:
关键词:
Genetic Variation;quantitative genetics;Adaptation;Geranium carolinianum
DOI:
doi:10.5061/dryad.nm41q
摘要:
Adaptive evolution can affect the successful establishment of invasive species, but changes in selective pressures, loss of genetic variation
Data from: Genetic basis of adaptation in Arabidopsis thaliana: local adaptation at the seed dormancy QTL DOG1
负责人:
关键词:
Genetic Variation;Arabidopsis thaliana;population genetics;population structure;quantitative genetics;Adaptation
DOI:
doi:10.5061/dryad.4rp76r87
摘要:
Local adaptation provides an opportunity to study the genetic basis of adaptation and investigate the allelic architecture of adaptive gene
Data from: Conservation through the lens of (mal)adaptation: concepts and meta-analysis
负责人:
Derry, Alison
关键词:
Adaptation translocation genetic rescue gene flow Hybridization evolutionary rescue demographic rescue transgenerational plasticity
DOI:
doi:10.5061/dryad.76dc375
摘要:
phenotypic and/or genetic variance, reducing adaptability in changing or uncertain environments; adaptive process strategies increase genetic variance, causing
Data from: Investigation of the geographic scale of adaptive phenological variation and its underlying genetics in Arabidopsis thaliana
负责人:
关键词:
Arabidopsis thaliana;selection;Ecology;flowering time;Adaptation
DOI:
doi:10.5061/dryad.07s25
摘要:
ing adaptive phenological variation. Although climatic conditions have often been suggested as the main selective agents acting on phenology in A. thaliana, bot
Data from: Geographic variation in phenotypic plasticity in response to dissolved oxygen in an African cichlid fish
负责人:
关键词:
gene flow;local adaptation;hypoxia;Pseudocrenilabrus multicolor victoriae;natural selection;2006-2009;Dispersal;adaptive divergence;reaction norms;Brain;gills;adaptive plasticity
DOI:
doi:10.5061/dryad.1779
摘要:
on of local genetic adaptation versus phenotypic plasticity should be related to potential for dispersal between environments (due to gene flow's constraint
Data from: Population size, habitat fragmentation, and the nature of adaptive variation in a stream fish
负责人:
关键词:
Salvelinus fontinalis;Genetic Variation;population size;habitat fragmentation
DOI:
doi:10.5061/dryad.6t794
摘要:
Whether and how habitat fragmentation and population size jointly affect adaptive genetic variation and adaptive population differentiation are large
Data from: Genetic and epigenetic variations associated with adaptation to heterogeneous habitat conditions in a deciduous shrub
负责人:
关键词:
Adaptation of plant;AFLP;DNA methylation;MS-AFLP;Vitex negundo L. var. heterophylla (Franch.) Rehd.;Ecological Epigenetics;Vitex negundo var. heterophylla
DOI:
doi:10.5061/dryad.15fn7
摘要:
, our findings suggest that epigenetic variation may complement genetic variation as a source of functional phenotypic diversity associated with adaptation
Data from: Epigenetic mutations can both help and hinder adaptive evolution
负责人:
关键词:
Evolutionary Theory;Population Genetics - Theoretical;Ecological Genetics;Adaptation
DOI:
doi:10.5061/dryad.68b3g
摘要:
Epigenetic variation is being integrated into our understanding of adaptation, yet we lack models on how epigenetic mutations affect evolution tha
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 mutati
Data from: Modeling adaptive and nonadaptive responses of populations to environmental change
负责人:
关键词:
Ecology: evolutionary;Genetics: population;Genetics: quantitative;Ecology: population;Ecology: theoretical;Genetics: evolutionary
DOI:
doi:10.5061/dryad.4c117
摘要:
y responses, with plastic responses being either adaptive or non-adaptive. We develop an approach that links quantitative genetic theory with data-driven structured models to al

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