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214 results for “quantitative traits”
Ecological determinants of variation in phenotypic selection on quantitative immune defence traits
Immune defence is an important determinant of organismal fitness. While theoretical models based on trade-offs in resource allocation predict quantitative immune traits to be subject to stabilizing selection due to associated energetic costs and self-harm, empirical studies report mainly positive directional selection. This discrepancy may arise from multiple ecological factors that vary in nature and could influence selection. We examined if selection on immune activity varies depending on immune challenge/infection risk, between immune traits, and among populations in the freshwater snail Lymnaea stagnalis. We assessed selection on the phenoloxidase-like and antibacterial activity of snail haemolymph while manipulating the level of immune challenge imposed by environmental microbes. We did this using snails from multiple populations and also quantified within-population family-level variation (i.e., evolutionary potential) in the snails' immune activity. We found that the strength of immune challenge and the examined immune trait determined selection on the snails' immune function. Thus, variation in infection risk can be an important factor in maintaining genetic variation in defence traits. Additionally, immune traits showed low among-population differentiation but high within-population genetic variation. This pattern could arise if natural snail populations are exposed to higher temporal than spatial variation in infection risk.
Clinal variation in quantitative traits but not in evolutionary potential along elevational and latitudinal gradients in the widespread Anthyllis vulneraria
<p><strong>Premise of the study</strong></p> <p>Strong elevational and latitudinal gradients allow the study of genetic differentiation in response to similar environmental changes. However, it is uncertain whether the environmental changes along the two types of gradients result in similar genetically based changes in quantitative traits. Peripheral arctic and alpine populations are thought to have a lower evolutionary potential than more central ones. </p> <p><strong>Methods </strong></p> <p>We studied quantitative traits of the widespread <em>Anthyllis vulneraria</em> in a common garden. Plants originated from 20 populations along a 2000 m elevational gradient from the lowlands to the elevational limit of the species in the Alps, and from 20 populations along a 2400 km latitudinal gradient from the centre of the distribution of the species in Central Europe to its northern distributional margin.</p> <p><strong>Key results</strong></p> <p>Several traits showed similar clinal variation with elevation and latitude of origin. Higher Q<sub>ST</sub>-values than F<sub>ST</sub>-values in some traits indicated divergent selection. The same traits were subject to strongly diversifying selection among populations (high Q<sub>ST</sub>) and strong stabilising selection within populations (low evolvability). Genetic diversity of most quantitative traits and neutral molecular markers was only weakly correlated. Plasticity in response to benign conditions declined with both increasing elevation and latitude of origin, but the evolvability of most traits did not.</p> <p><strong>Conclusions </strong></p> <p>The clinal variation suggests adaptive differentiation of quantitative traits along the two gradients. Our results indicate that the evolutionary potential of peripheral populations is not necessarily reduced. However, lower plasticity may threaten their survival under rapidly changing climatic conditions.</p>
Data from: Genome-wide search for quantitative trait loci controlling important plant and flower traits in petunia using an interspecific recombinant inbred population of Petunia axillaris and Petunia exserta
A major bottleneck in plant breeding has been the much limited genetic base and much reduced genetic diversity in domesticated, cultivated germplasm. Identification and utilization of favorable gene loci or alleles from wild or progenitor species can serve as an effective approach to increasing genetic diversity and breaking this bottleneck in plant breeding. This study was conducted to identify quantitative trait loci (QTL) in wild or progenitor petunia species that can be used to improve important horticultural traits in garden petunia. An F7 recombinant inbred population derived between Petunia axillaris and P. exserta was phenotyped for plant height, plant spread, plant size, flower counts, flower diameter, flower length, and days to anthesis, in Florida in two consecutive years. Transgressive segregation was observed for all seven traits in both years. The broad-sense heritability estimates for the traits ranged from 0.20 (days to anthesis) to 0.62 (flower length). A genome-wide genetic linkage map consisting 368 single nucleotide polymorphism bins and extending over 277 cM was searched to identify QTL for these traits. Nineteen QTL were identified and localized to five linkage groups. Eleven of the loci were identified consistently in both years; several loci explained up to 34.0% and 24.1% of the phenotypic variance for flower length and flower diameter, respectively. Multiple loci controlling different traits are co-localized in four intervals in four linkage groups. These intervals contain desirable alleles that can be introgressed into commercial petunia germplasm to expand the genetic base and improve plant performance and flower characteristics in petunia.
Quantitative trait locus mapping reveals an independent genetic basis for joint divergence in leaf function, life-history, and floral traits between scarlet monkeyflower (Mimulus cardinalis) populations
<p><b>PREMISE </b></p> <p>Across taxa, vegetative and floral traits that vary along a fast-slow life-history axis are often correlated with leaf functional traits arrayed along the leaf economics spectrum, suggesting a constrained set of adaptive trait combinations. Such broad-scale convergence may arise from genetic constraints imposed by pleiotropy (or tight linkage) within species, or from natural selection alone. Understanding the genetic basis of trait syndromes and their components is key to distinguishing these alternatives and predicting evolution in novel environments.</p> <p><b>METHODS </b></p> <p>We used a line-cross approach and quantitative trait locus (QTL) mapping to characterize the genetic basis of twenty leaf functional/physiological, life history, and floral traits in hybrids between annualized and perennial populations of scarlet monkeyflower (<i>Mimulus cardinalis</i>).</p> <p><b>RESULTS </b></p> <p>We mapped both single and multi-trait QTLs for life history, leaf function and reproductive traits, but found no evidence of genetic co-ordination across categories. A major QTL for three leaf functional traits (thickness, photosynthetic rate, and stomatal resistance) suggests that a simple shift in leaf anatomy may be key to adaptation to seasonally dry habitats.</p> <p><b>CONCLUSIONS </b></p> <p>Our results suggest that the co-ordination of resource-acquisitive leaf physiological traits with a fast life history and more selfing mating system results from environmental selection rather than functional or genetic constraint. Independent assortment of distinct trait modules, as well as a simple genetic basis to leaf physiological traits associated with drought escape, may facilitate adaptation to changing climates. </p>
Sol Genome Annotations and Quantitative Traits Loci
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Data from: Quantitative genetic analysis of floral traits shows current limits but potential evolution in the wild
<p>The vast variation in floral traits across angiosperms is often interpreted as the result of adaptation to pollinators. However, studies in wild populations often find no evidence of pollinator-mediated selection on flowers. Evolutionary theory predicts this could be the outcome of periods of stasis under stable conditions, followed by shorter periods of pollinator change that provide selection for innovative phenotypes. We asked if periods of stasis are caused by stabilizing selection, absence of other forms of selection, or by low trait ability to respond even if selection is present. We studied a plant predominantly pollinated by one bee species across its range. We measured heritability and evolvability of traits, using genome-wide relatedness in a large wild population, and combined this with estimates of selection on the same individuals. We found evidence for both stabilizing selection and low trait heritability as potential explanations for stasis in flowers. The area of the standard petal is under stabilizing selection, but the variability is not heritable. A separate trait, floral weight, presents high heritability, but is not currently under selection. We show how a simple pollination environment coincides with the absence of current prerequisites for adaptive evolutionary change, while heritable variation remains to respond to future selection pressures.</p>
A theory of oligogenic adaptation of a quantitative trait
<p>Rapid phenotypic adaptation is widespread in nature, but the underlying genetic dynamics remain controversial. Whereas population genetics envisages sequential beneficial substitutions, quantitative genetics assumes a collective response through subtle shifts in allele frequencies. This dichotomy of a monogenic and a highly polygenic view of adaptation raises the question of a middle ground, as well as the factors controlling the transition. Here, we consider an additive quantitative trait with equal locus effects under Gaussian stabilizing selection that adapts to a new trait optimum after an environmental change. We present an analytical framework based on Yule branching processes to describe how phenotypic adaptation is achieved by collective changes in allele frequencies at the underlying loci. In particular, we derive an approximation for the joint allele-frequency distribution at threshold levels of the trait mean as a comprehensive descriptor of the adaptive architecture. Depending on the model parameters, this architecture reproduces the well-known patterns of sequential, monogenic sweeps, or of subtle, polygenic frequency shifts. Between these endpoints, we observe oligogenic architecture types that exhibit characteristic patterns of partial sweeps. We find that a single compound parameter, the population-scaled background mutation rate Θ<sub>bg,</sub> is the most important predictor of the type of adaptation, while selection strength, the number of loci in the genetic basis, and linkage only play a minor role.</p>
Identification of quantitative trait loci and associated candidate genes for pregnancy success in Angus – Brahman crossbred heifers
<p>Development of genomic tools to identify females with high genetic merit for reproductive function could increase the profitability and sustainability of beef production. Here, genome-wide association studies (GWAS) were performed on pregnancy outcome traits from a population of Angus – Brahman crossbred heifers. Furthermore, a validation GWAS was performed using data from another location. Heifers were genotyped with the Bovine GGP F250 array that contains ~250,000 SNPs. In the discovery population, heifers were bred in winter breeding seasons involving a single round of timed artificial insemination (AI) followed by natural mating for three months. Three phenotypes were analyzed: pregnancy outcome to first-service AI (PAI; n = 1481), pregnancy status at the end of the breeding season (PEBS; n = 1725), and pregnancy score (Pregscore where 1 = pregnant to first-service AI, 2 = pregnant to bull, 3 = not pregnant; n =1481). The heritability for PAI was estimated as 0.149. One large quantitative trait locus (QTL) that explained ~3% of the genetic variation for PAI was found on BTA7, in a region containing a cluster of γ-protocadherin genes and SLC25A2. Other QTLs explaining between 0.5-1% of the genetic variation were found on BTA12 and 25. The heritability of PEBS was estimated at 0.122. A large QTL on BTA7 was synonymous with the QTL for PAI, with minor QTL located on BTA5, 9, 10, 11, 19, and 20. Estimated heritability for Pregscore was 0.189. There was a large QTL on BTA7 synonymous with the other two traits as well as smaller QTLs on BTA1, 10, 15, 18, 19, and 20. The validation population for pregnancy status at the end of the breeding season were Angus-Brahman crossbred heifers bred by natural mating. In concordance with the discovery population, the large QTL on BTA7 and QTL on BTA10, 12 and 18 were identified. In summary, QTL and candidate SNPs associated with pregnancy outcomes in beef heifers were identified, including a large QTL associated with a group of protocadherin genes. Confirmation of these associations with larger populations could lead to the development of genomic estimates of reproductive function in beef cattle.</p>
Data from: Molecular mapping and identification of quantitative trait loci for domestication traits in field cress (Lepidium campestre L.) genome
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Quantitative trait loci mapping in cichlid fishes: Aulonocara koningsi x Metriaclima mbenjii and Labidochromis caeruleus x Labeotropheus trewavasae
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A theory of oligogenic adaptation of a quantitative trait
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Ecological determinants of variation in phenotypic selection on quantitative immune defence traits
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Data from: Large effect quantitative trait loci for salicinoid phenolic glycosides in Populus: implications for gene discovery
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Data from: Quantitative genetic analysis of floral traits shows current limits but potential evolution in the wild
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Dissecting the genetic architecture of quantitative traits using genome-wide identity-by-descent sharing
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Quantitative genetics of developmental stability in flower traits of Solanum rostratum
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Data from: Müllerian mimicry of a quantitative trait despite contrasting levels of genomic divergence and selection
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Clinal variation in quantitative traits but not in evolutionary potential along elevational and latitudinal gradients in the widespread Anthyllis vulneraria
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Identification of quantitative trait loci and associated candidate genes for pregnancy success in Angus – Brahman crossbred heifers
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Root penetration index 3, a major quantitative trait locus (QTL) associated with root system penetrability in Arabidopsis.
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