Genetic structure of a montane perennial plant: the influence of landscape and flowering phenology

The way that genetic variation is distributed geographically has important conservation and evolutionary implications. Here, we examined the distribution of genetic variation within and among populations of the montane perennial Ipomopsis aggregata. We sampled plants in western Colorado and examined...

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Veröffentlicht in:Conservation genetics 2015-12, Vol.16 (6), p.1431-1442
Hauptverfasser: Suni, Sevan S, Whiteley, Andrew R
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description The way that genetic variation is distributed geographically has important conservation and evolutionary implications. Here, we examined the distribution of genetic variation within and among populations of the montane perennial Ipomopsis aggregata. We sampled plants in western Colorado and examined (1) population genetic structure over a geographic area that spanned 130 km, including genetic variation within disturbed and undisturbed sites; (2) the relationship between genetic differentiation and geographic distance; and (3) the relationship between flowering time and genetic differentiation among plants within and among geographic areas. F IS was significantly higher (t test, P = 0.006), expected heterozygosity was significantly lower (t test, P = 0.04), and allelic richness was marginally significantly lower (t test, P = 0.078) among anthropogenically-disturbed sites compared to undisturbed sites. We found moderate genetic differentiation over the area sampled (average pairwise F ST = 0.04; average pairwise [Formula: see text]), but no association of genetic and geographic distance (Mantel test P values 0.44 for F ST and 0.36 for [Formula: see text]). We found a strong association of flowering time and genetic differentiation over small and large spatial scales. Genetic differentiation between early and late flowering plants within a focal site was statistically significant (genic test for population differentiation combined P value
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Here, we examined the distribution of genetic variation within and among populations of the montane perennial Ipomopsis aggregata. We sampled plants in western Colorado and examined (1) population genetic structure over a geographic area that spanned 130 km, including genetic variation within disturbed and undisturbed sites; (2) the relationship between genetic differentiation and geographic distance; and (3) the relationship between flowering time and genetic differentiation among plants within and among geographic areas. F IS was significantly higher (t test, P = 0.006), expected heterozygosity was significantly lower (t test, P = 0.04), and allelic richness was marginally significantly lower (t test, P = 0.078) among anthropogenically-disturbed sites compared to undisturbed sites. We found moderate genetic differentiation over the area sampled (average pairwise F ST = 0.04; average pairwise [Formula: see text]), but no association of genetic and geographic distance (Mantel test P values 0.44 for F ST and 0.36 for [Formula: see text]). We found a strong association of flowering time and genetic differentiation over small and large spatial scales. Genetic differentiation between early and late flowering plants within a focal site was statistically significant (genic test for population differentiation combined P value &lt;0.001; F ST = 0.05). There was a significant correlation between genetic distance ([Formula: see text]) and distance in flowering time, when controlling for geographic distance, over the whole geographic area (Partial Mantel test R ₓy = 0.32, P = 0.013). A multiple regression with randomization further supported the inference that flowering time, but not geographic distance or elevation, predicted [Formula: see text] (geographic distance: β = −0.03, P = 0.89; elevation: β = 0.01, P = 0.96; phenological distance: β = 0.30, P = 0.05), but not F ₛₜ (geographic distance: β = −0.02, P = 0.92; elevation: β = 0.14, P = 0.38; phenological distance: β = 0.25, P = 0.11), unless elevation was left out of the model (geographic distance: β = −0.03, P = 0.9; phenological distance: β = 0.29, P = 0.03). 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Here, we examined the distribution of genetic variation within and among populations of the montane perennial Ipomopsis aggregata. We sampled plants in western Colorado and examined (1) population genetic structure over a geographic area that spanned 130 km, including genetic variation within disturbed and undisturbed sites; (2) the relationship between genetic differentiation and geographic distance; and (3) the relationship between flowering time and genetic differentiation among plants within and among geographic areas. F IS was significantly higher (t test, P = 0.006), expected heterozygosity was significantly lower (t test, P = 0.04), and allelic richness was marginally significantly lower (t test, P = 0.078) among anthropogenically-disturbed sites compared to undisturbed sites. We found moderate genetic differentiation over the area sampled (average pairwise F ST = 0.04; average pairwise [Formula: see text]), but no association of genetic and geographic distance (Mantel test P values 0.44 for F ST and 0.36 for [Formula: see text]). We found a strong association of flowering time and genetic differentiation over small and large spatial scales. Genetic differentiation between early and late flowering plants within a focal site was statistically significant (genic test for population differentiation combined P value &lt;0.001; F ST = 0.05). There was a significant correlation between genetic distance ([Formula: see text]) and distance in flowering time, when controlling for geographic distance, over the whole geographic area (Partial Mantel test R ₓy = 0.32, P = 0.013). A multiple regression with randomization further supported the inference that flowering time, but not geographic distance or elevation, predicted [Formula: see text] (geographic distance: β = −0.03, P = 0.89; elevation: β = 0.01, P = 0.96; phenological distance: β = 0.30, P = 0.05), but not F ₛₜ (geographic distance: β = −0.02, P = 0.92; elevation: β = 0.14, P = 0.38; phenological distance: β = 0.25, P = 0.11), unless elevation was left out of the model (geographic distance: β = −0.03, P = 0.9; phenological distance: β = 0.29, P = 0.03). 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Here, we examined the distribution of genetic variation within and among populations of the montane perennial Ipomopsis aggregata. We sampled plants in western Colorado and examined (1) population genetic structure over a geographic area that spanned 130 km, including genetic variation within disturbed and undisturbed sites; (2) the relationship between genetic differentiation and geographic distance; and (3) the relationship between flowering time and genetic differentiation among plants within and among geographic areas. F IS was significantly higher (t test, P = 0.006), expected heterozygosity was significantly lower (t test, P = 0.04), and allelic richness was marginally significantly lower (t test, P = 0.078) among anthropogenically-disturbed sites compared to undisturbed sites. We found moderate genetic differentiation over the area sampled (average pairwise F ST = 0.04; average pairwise [Formula: see text]), but no association of genetic and geographic distance (Mantel test P values 0.44 for F ST and 0.36 for [Formula: see text]). We found a strong association of flowering time and genetic differentiation over small and large spatial scales. Genetic differentiation between early and late flowering plants within a focal site was statistically significant (genic test for population differentiation combined P value &lt;0.001; F ST = 0.05). There was a significant correlation between genetic distance ([Formula: see text]) and distance in flowering time, when controlling for geographic distance, over the whole geographic area (Partial Mantel test R ₓy = 0.32, P = 0.013). A multiple regression with randomization further supported the inference that flowering time, but not geographic distance or elevation, predicted [Formula: see text] (geographic distance: β = −0.03, P = 0.89; elevation: β = 0.01, P = 0.96; phenological distance: β = 0.30, P = 0.05), but not F ₛₜ (geographic distance: β = −0.02, P = 0.92; elevation: β = 0.14, P = 0.38; phenological distance: β = 0.25, P = 0.11), unless elevation was left out of the model (geographic distance: β = −0.03, P = 0.9; phenological distance: β = 0.29, P = 0.03). The association of flowering time and genetic distance despite the lack of isolation by distance provides further evidence for the usefulness of incorporating this variable into plant landscape genetic studies when possible.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10592-015-0751-z</doi><tpages>12</tpages></addata></record>
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source SpringerLink Journals - AutoHoldings
subjects Animal Genetics and Genomics
Anthropogenic factors
Biodiversity
Biomedical and Life Sciences
Conservation Biology/Ecology
Ecology
Elevation
Evolutionary Biology
flowering
Flowering plants
Flowers & plants
genetic distance
Genetic diversity
Genetic structure
genetic variation
Genetics
heterozygosity
Ipomopsis aggregata
Landscape studies
landscapes
Life Sciences
ornamental plants
perennials
Phenology
Plant Genetics and Genomics
population
Population differentiation
Research Article
t-test
title Genetic structure of a montane perennial plant: the influence of landscape and flowering phenology
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