Patterns of Phenotypic and Genetic Correlations among Morphological and Life-History Traits in Wild Radish, Raphanus raphanistrum

Evolution ◽  
1993 ◽  
Vol 47 (2) ◽  
pp. 704 ◽  
Author(s):  
Jeffrey Conner ◽  
Sara Via
Keyword(s):  
Life History ◽  
Life History Traits ◽  
Genetic Correlations ◽  
Wild Radish ◽  
Raphanus Raphanistrum

scholarly journals Mapping the adaptive landscape of a major agricultural pathogen reveals evolutionary constraints across heterogeneous environments

2021 ◽  
Author(s):  
Anik Dutta ◽  
Fanny E. Hartmann ◽  
Carolina Sardinha Francisco ◽  
Bruce A. McDonald ◽  
Daniel Croll
Keyword(s):  
Life History ◽  
Large Scale ◽  
Life History Traits ◽  
Genetic Correlations ◽  
Stress Factors ◽  
Life History Trait ◽  
Adaptive Landscape ◽  
Heterogeneous Environments ◽  
Growth Responses ◽  
Trade Offs

AbstractThe adaptive potential of pathogens in novel or heterogeneous environments underpins the risk of disease epidemics. Antagonistic pleiotropy or differential resource allocation among life-history traits can constrain pathogen adaptation. However, we lack understanding of how the genetic architecture of individual traits can generate trade-offs. Here, we report a large-scale study based on 145 global strains of the fungal wheat pathogen Zymoseptoria tritici from four continents. We measured 50 life-history traits, including virulence and reproduction on 12 different wheat hosts and growth responses to several abiotic stressors. To elucidate the genetic basis of adaptation, we used genome-wide association mapping coupled with genetic correlation analyses. We show that most traits are governed by polygenic architectures and are highly heritable suggesting that adaptation proceeds mainly through allele frequency shifts at many loci. We identified negative genetic correlations among traits related to host colonization and survival in stressful environments. Such genetic constraints indicate that pleiotropic effects could limit the pathogen’s ability to cause host damage. In contrast, adaptation to abiotic stress factors was likely facilitated by synergistic pleiotropy. Our study illustrates how comprehensive mapping of life-history trait architectures across diverse environments allows to predict evolutionary trajectories of pathogens confronted with environmental perturbations.

scholarly journals Artificial selection on male size depletes genetic variance but not covariance of life history traits in the yellow dung fly

2019 ◽  
Author(s):  
WU Blanckenhorn ◽  
V Llaurens ◽  
C Reim ◽  
Y Teuschl ◽  
E Postma
Keyword(s):  
Genetic Variation ◽  
Life History ◽  
Body Size ◽  
Artificial Selection ◽  
Development Time ◽  
Life History Traits ◽  
Genetic Variance ◽  
Genetic Correlations ◽  
Male Size ◽  
First Clutch

SUMMARYThe evolutionary potential of organisms depends on the presence of sufficient genetic variation for traits subject to selection, as well as on the genetic covariances among them. While genetic variation ultimately derives from mutation, theory predicts the depletion of genetic (co)variation under consistent directional or stabilizing selection in natural populations. We estimated and compared additive genetic (co)variances for several standard life history traits, including some for which this has never been assessed, before and after 24 generations of artificial selection on male size in the yellow dung fly Scathophaga stercoraria (Diptera: Scathophagidae) using a series of standard half-sib breeding experiments. As predicted, genetic variances (VA), heritabilities (h2) and evolvabilities (IA) of body size, development time, first clutch size, and female age at first clutch were lower after selection. As independent selection lines were crossed prior to testing, we can rule out that this reduction is due to genetic drift. In contrast to the variances, and against expectation, the additive genetic correlations between the sexes for development time and body size remained strong and positive (rA = 0.8–0.9), while the genetic correlation between these traits within the sexes tended to strengthen (but not significantly so). Our study documents that the effect of selection on genetic variance is predictable, whereas that on genetic correlations is not.

scholarly journals Analysis of correlation structure in Lymantria dispar L. larvae from locally adapted populations

2013 ◽  
Vol 65 (2) ◽  
pp. 525-531
Author(s):  
Marija Mrdakovic ◽  
Vesna Peric-Mataruga ◽  
Larisa Ilijin ◽  
Milena Vlahovic ◽  
D. Mircic ◽  
...  
Keyword(s):  
Life History ◽  
Host Plant ◽  
Lymantria Dispar ◽  
Enzyme Activities ◽  
Life History Traits ◽  
Digestive Enzyme ◽  
Genetic Correlations ◽  
Allelochemical Stress ◽  
Sib Families ◽  
Digestive Enzyme Activities

The influence of allelochemical stress and population origin on the patterns of phenotypic and genetic correlations among life history traits and digestive enzyme activities were investigated in larvae of the gypsy moth (Lymantria dispar L.; Lepidoptera: Lymantriidae). Thirty-two full-sib families from oak (suitable host plant, Quercus population), and twenty-six full-sib families from locust-tree (unsuitable host plant, Robinia population) forests were reared on an artificial diet, with or without a 5% tannic acid supplement. Comparison of correlation matrices revealed significant similarity between the two populations in the structure of phenotypic and genetic correlations of life history traits and of digestive enzyme activities. The patterns of correlations of the examined traits, within each of the two locally adapted populations and in the presence of allelochemical stress, remained stabile despite the different selection pressures that mold these traits.

scholarly journals Heritability and genetic correlations of personality, life history and morphology in the grey mouse lemur ( Microcebus murinus )

2019 ◽  
Vol 6 (10) ◽  
pp. 190632 ◽  
Author(s):  
Pauline B. Zablocki-Thomas ◽  
Anthony Herrel ◽  
Caitlin J. Karanewsky ◽  
Fabienne Aujard ◽  
Emmanuelle Pouydebat
Keyword(s):  
Life History ◽  
Personality Traits ◽  
Maternal Effects ◽  
Morphological Traits ◽  
Life History Traits ◽  
Genetic Correlations ◽  
Microcebus Murinus ◽  
Phenotypic Traits ◽  
Pace Of Life ◽  
Sources Of Variation

The recent interest in animal personality has sparked a number of studies on the heritability of personality traits. Yet, how the sources variance these traits can be decomposed remains unclear. Moreover, whether genetic correlations with life-history traits, personality traits and other phenotypic traits exist as predicted by the pace-of-life syndrome hypothesis remains poorly understood. Our aim was to compare the heritability of personality, life-history and morphological traits and their potential genetic correlations in a small primate ( Microcebus murinus ). We performed an animal model analysis on six traits measured in a large sample of captive mouse lemurs ( N = 486). We chose two personality traits, two life-history traits and two morphological traits to (i) estimate the genetic and/or environmental contribution to their variance, and (ii) test for genetic correlations between these traits. We found modest narrow-sense heritability for personality traits, morphological traits and life-history traits. Other factors including maternal effects also influence the sources of variation in life-history and morphological traits. We found genetic correlations between emergence latency on the one hand and radius length and growth rate on the other hand. Emergence latency was also genetically correlated with birth weight and was influenced by maternal identity. These results provide insights into the influence of genes and maternal effects on the partitioning of sources of variation in personality, life-history and morphological traits in a captive primate model and suggest that the pace-of-life syndrome may be partly explained by genetic trait covariances.

scholarly journals Environmental influence on the genetic correlations between life-history traits in Caenorhabditis elegans

Heredity ◽  
2007 ◽  
Vol 98 (4) ◽  
pp. 206-213 ◽  
Author(s):  
E W Gutteling ◽  
A Doroszuk ◽  
J A G Riksen ◽  
Z Prokop ◽  
J Reszka ◽  
...  
Keyword(s):  
Life History ◽  
Caenorhabditis Elegans ◽  
Life History Traits ◽  
Environmental Influence ◽  
Genetic Correlations

Properties of Ethylmethane Sulfonate-Induced Mutations Affecting Life-History Traits in Caenorhabditis elegans and Inferences About Bivariate Distributions of Mutation Effects

Genetics ◽  
2000 ◽  
Vol 156 (1) ◽  
pp. 143-154 ◽  
Author(s):  
Peter D Keightley ◽  
Esther K Davies ◽  
Andrew D Peters ◽  
Ruth G Shaw
Keyword(s):  
Life History ◽  
Caenorhabditis Elegans ◽  
Reproductive Output ◽  
Life History Traits ◽  
Genetic Correlations ◽  
Induced Mutations ◽  
Bivariate Distributions ◽  
Ethylmethane Sulfonate ◽  
The Mean ◽  
Positive Correlations

Abstract The homozygous effects of ethylmethane sulfonate (EMS)-induced mutations in Caenorhabditis elegans are compared across life-history traits. Mutagenesis has a greater effect on early than late reproductive output, since EMS-induced mutations tend to cause delayed reproduction. Mutagenesis changes the mean and variance of longevity much less than reproductive output traits. Mutations that increase total or early productivity are not detected, but the net effect of mutations is to increase and decrease late productivity to approximately equal extents. Although most mutations decrease longevity, a mutant line with increased longevity was found. A flattening of mortality curves with age is noted, particularly in EMS lines. We infer that less than one-tenth of mutations that have fitness effects in natural conditions are detected in the laboratory, and such mutations have moderately large effects (~20% of the mean). Mutational correlations for life-history traits are strong and positive. Correlations between early or late productivity and longevity are of similar magnitude. We develop a maximum-likelihood procedure to infer bivariate distributions of mutation effects. We show that strong mutation-induced genetic correlations do not necessarily imply strong directional correlations between mutational effects, since correlation is also generated by lines carrying different numbers of mutations.

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