Phenetics of Natural Populations. V. Genetic Correlates of Phenotypic Variation in the Pocket Gopher (Thomomys bottae) in California

Soulé, Michael E.; Zegers, Gerard

doi:10.1093/oxfordjournals.jhered.a023012

Cited by 14 publications

(11 citation statements)

References 33 publications

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“…The variability of characters in each sample, region and the entire set of data was tested using the variation coefficient (Cv=M/SD×100). For comparisons of the variability between samples and regions, arithmetic means of variation coefficients of characters in populations were used (Soulé and Zegers 1996). In the entire data set, mutual correlations of characters were examined using Pearson's correlation coefficient.…”

Section: Analysesmentioning

confidence: 99%

Geographical differentiation of Dryas octopetala in Europe based on morphological features

Marcysiak

2014

Dendrobiology

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Abstract:Dryas octopetala is an important arctic alpine species, but its morphological analyses are scarce. The study deals with present European biogeographical structure based on morphology and its relations to the phylogenetic structure and the climate. Characters of leaves from 23 isolated populations were measured, statistically characterized and analyzed with the use of ANOVA and the discriminant analysis. All the features differentiated the tested samples significantly. Differences between plants representing regions were greater than between the samples within regions with regard to the four characters. The most visible division ran between the samples coming from the southern and the northern parts of the range, with the sample from the Western Scandinavia occupying the central position. Correlations between characters and climactic factors were shown, and the size of the leaf was associated mainly with the minimum temperatures of spring months, while the leaf shape with the rainfall during the summer months. Characters differentiating the regions and discriminating populations strongly were mostly dependent on the influence of the climate. The results of the present study were not fully consistent with the outcomes of the biogeographic molecular analyses of the researched species. Some parallels can be drawn when comparing the present analyses with the geographic differentiation of two other arctic-alpine shrubs Salix herbacea and S. reticulata. Although morphological diversity of Dryas octopetala showed a geographic structure, it was most probably shaped mainly by the influence of the environmental and climatic factors.

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Section: Analysesmentioning

confidence: 99%

Geographical differentiation of Dryas octopetala in Europe based on morphological features

Marcysiak

2014

Dendrobiology

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“…In biometry and in genetics, multiple characteristics or features are often measured on individuals. For example, Soule and Zegers measured the relative variability of 14 traits of female pocket gophers. To monitor the multivariate CV in these scenarios, independent univariate CV charts can no longer be used as they ignore the correlation structure between the variables.…”

Section: Introductionmentioning

confidence: 99%

A Control Chart for the Multivariate Coefficient of Variation

Yeong

Khoo

Teoh

et al. 2015

Quality & Reliability Eng

113

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“…However, widely differing opinions about the magnitude of the relationship have been expressed and the extent of the correlation remains controversial. Strong genetic-phenetic correlations are prevalent in the literature (e.g., Briscoe et al 1992;Soulé and Zegers 1996;Waldman and Andersson 1998). Further, Coyne and Orr (1997) have shown that genetic distances between Drosophila species determined from allozymes are correlated with their degree of reproductive isolation.…”

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confidence: 99%

How Closely Correlated Are Molecular and Quantitative Measures of Genetic Variation? A Meta-Analysis

2001

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The ability of populations to undergo adaptive evolution depends on the presence of quantitative genetic variation for ecologically important traits. Although molecular measures are widely used as surrogates for quantitative genetic variation, there is controversy about the strength of the relationship between the two. To resolve this issue, we carried out a meta-analysis based on 71 datasets. The mean correlation between molecular and quantitative measures of genetic variation was weak (r = 0.217). Furthermore, there was no significant relationship between the two measures for life-history traits (r = -0.11) or for the quantitative measure generally considered as the best indicator of adaptive potential, heritability (r = -0.08). Consequently, molecular measures of genetic diversity have only a very limited ability to predict quantitative genetic variability. When information about a population's short-term evolutionary potential or estimates of local adaptation and population divergence are required, quantitative genetic variation should be measured directly.

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Phenetics of Natural Populations. V. Genetic Correlates of Phenotypic Variation in the Pocket Gopher (Thomomys bottae) in California

Cited by 14 publications

References 33 publications

Geographical differentiation of Dryas octopetala in Europe based on morphological features

Geographical differentiation of Dryas octopetala in Europe based on morphological features

A Control Chart for the Multivariate Coefficient of Variation

How Closely Correlated Are Molecular and Quantitative Measures of Genetic Variation? A Meta-Analysis

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