scholarly journals Fluctuating selection across years and phenotypic variation in food-deceptive orchids

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3704 ◽  
Author(s):  
Giovanni Scopece ◽  
Nicolas Juillet ◽  
Christian Lexer ◽  
Salvatore Cozzolino
Keyword(s):  
Phenotypic Variation ◽  
Phenotypic Variability ◽  
Directional Selection ◽  
Phenotypic Traits ◽  
Fluctuating Selection ◽  
Deceptive Pollination ◽  
Selection Gradients ◽  
Insect Interactions ◽  
Pollination Strategy ◽  
Selection Differentials

Nectarless flowers that deceive pollinators offer an opportunity to study asymmetric plant-insect interactions. Orchids are a widely used model for studying these interactions because they encompass several thousand species adopting deceptive pollination systems. High levels of intra-specific phenotypic variation have been reported in deceptive orchids, suggesting a reduced consistency of pollinator-mediated selection on their floral traits. Nevertheless, several studies report on widespread directional selection mediated by pollinators even in these deceptive orchids. In this study we test the hypothesis that the observed selection can fluctuate across years in strength and direction thus likely contributing to the phenotypic variability of this orchid group. We performed a three-year study estimating selection differentials and selection gradients for nine phenotypic traits involved in insect attraction in two Mediterranean orchid species, namely Orchis mascula and O. pauciflora, both relying on a well-described food-deceptive pollination strategy. We found weak directional selection and marginally significant selection gradients in the two investigated species with significant intra-specific differences in selection differentials across years. Our data do not link this variation with a specific environmental cause, but our results suggest that pollinator-mediated selection in food-deceptive orchids can change in strength and in direction over time. In perennial plants, such as orchids, different selection differentials in the same populations in different flowering seasons can contribute to the maintenance of phenotypic variation often reported in deceptive orchids.

scholarly journals Evolution of adaptive phenotypic variation patterns by direct selection for evolvability

2010 ◽  
Vol 278 (1713) ◽  
pp. 1903-1912 ◽  
Author(s):  
Mihaela Pavlicev ◽  
James M. Cheverud ◽  
Günter P. Wagner
Keyword(s):  
Natural Selection ◽  
Phenotypic Variation ◽  
Genetic Model ◽  
Gene Interaction ◽  
Directional Selection ◽  
Direct Selection ◽  
Phenotypic Traits ◽  
Heritable Variation ◽  
Darwinian Theory ◽  
Theory Of Evolution

A basic assumption of the Darwinian theory of evolution is that heritable variation arises randomly. In this context, randomness means that mutations arise irrespective of the current adaptive needs imposed by the environment. It is broadly accepted, however, that phenotypic variation is not uniformly distributed among phenotypic traits, some traits tend to covary, while others vary independently, and again others barely vary at all. Furthermore, it is well established that patterns of trait variation differ among species. Specifically, traits that serve different functions tend to be less correlated, as for instance forelimbs and hind limbs in bats and humans, compared with the limbs of quadrupedal mammals. Recently, a novel class of genetic elements has been identified in mouse gene-mapping studies that modify correlations among quantitative traits. These loci are called relationship loci, or relationship Quantitative Trait Loci (rQTL), and affect trait correlations by changing the expression of the existing genetic variation through gene interaction. Here, we present a population genetic model of how natural selection acts on rQTL. Contrary to the usual neo-Darwinian theory, in this model, new heritable phenotypic variation is produced along the selected dimension in response to directional selection. The results predict that selection on rQTL leads to higher correlations among traits that are simultaneously under directional selection. On the other hand, traits that are not simultaneously under directional selection are predicted to evolve lower correlations. These results and the previously demonstrated existence of rQTL variation, show a mechanism by which natural selection can directly enhance the evolvability of complex organisms along lines of adaptive change.

scholarly journals Speciation, Phenotypic Variation and Plasticity: What Can Endocrine Disruptors Tell Us?

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Braulio Ayala-García ◽  
Marta López-Santibáñez Guevara ◽  
Lluvia I. Marcos-Camacho ◽  
Alma L. Fuentes-Farías ◽  
Esperanza Meléndez-Herrera ◽  
...  
Keyword(s):  
Phenotypic Plasticity ◽  
Endocrine Disruptors ◽  
Gene Transcription ◽  
Phenotypic Variation ◽  
Phenotypic Variability ◽  
Epigenetic Inheritance ◽  
Genetic Mutations ◽  
Phenotypic Traits ◽  
Epigenetic Memory ◽  
Epigenetic Modulation

Phenotype variability, phenotypic plasticity, and the inheritance of phenotypic traits constitute the fundamental ground of processes such as individuation, individual and species adaptation and ultimately speciation. Even though traditional evolutionary thinking relies on genetic mutations as the main source of intra- and interspecies phenotypic variability, recent studies suggest that the epigenetic modulation of gene transcription and translation, epigenetic memory, and epigenetic inheritance are by far the most frequent reliable sources of transgenerational variability among viable individuals within and across organismal species. Therefore, individuation and speciation should be considered as nonmutational epigenetic phenomena.

scholarly journals Contributions of source population and incubation temperature to phenotypic variation of hatchling Chinese skinks

2020 ◽  
Author(s):  
Hong-Liang Lu ◽  
Yan-Fu Qu ◽  
Hong Li ◽  
Xiang Ji
Keyword(s):  
Body Mass ◽  
Phenotypic Variation ◽  
Incubation Temperature ◽  
Tail Length ◽  
Population Variation ◽  
Phenotypic Traits ◽  
Source Population ◽  
Relative Importance ◽  
The Difference ◽  
Hatchling Size

Abstract Phenotypic plasticity and local adaptation are viewed as the main factors that result in between-population variation in phenotypic traits, but contributions of these factors to phenotypic variation vary between traits and between species and have only been explored in a few species of reptiles. Here, we incubated eggs of the Chinese skink (Plestiodon chinensis) from 7 geographically separated populations in Southeast China at 3 constant temperatures (24, 28, and 32 °C) to evaluate the combined effects of clutch origin, source population, and incubation temperature on hatchling traits. The relative importance of these factors varied between traits. Nearly all examined hatchling traits, including body mass, snout–vent length (SVL), tail length, head size, limb length, tympanum diameter, and locomotor speed, varied among populations and were affected by incubation temperature. Measures for hatchling size (body mass and SVL) varied considerably among clutches. Source population explained much of the variation in hatchling body mass, whereas incubation temperature explained much of the variation in other examined traits. Our results indicate that between-population variation in hatchling traits of P. chinensis likely reflects the difference in natural incubation conditions and genetic divergence.

scholarly journals Genotypic richness predicts phenotypic variation in an endangered clonal plant

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1633 ◽  
Author(s):  
Suzanna M. Evans ◽  
Elizabeth A. Sinclair ◽  
Alistair G.B. Poore ◽  
Keryn F. Bain ◽  
Adriana Vergés
Keyword(s):  
Genetic Diversity ◽  
Phenotypic Variation ◽  
Strong Predictor ◽  
Clonal Plant ◽  
Individual Performance ◽  
Tissue Loss ◽  
Phenotypic Traits ◽  
Case Scenario ◽  
Ecological Processes ◽  
Genotypic Richness

Declines in genetic diversity within a species can affect the stability and functioning of populations. The conservation of genetic diversity is thus a priority, especially for threatened or endangered species. The importance of genetic variation, however, is dependent on the degree to which it translates into phenotypic variation for traits that affect individual performance and ecological processes. This is especially important for predominantly clonal species, as no single clone is likely to maximise all aspects of performance. Here we show that intraspecific genotypic diversity as measured using microsatellites is a strong predictor of phenotypic variation in morphological traits and shoot productivity of the threatened, predominantly clonal seagrassPosidonia australis, on the east coast of Australia. Biomass and surface area variation was most strongly predicted by genotypic richness, while variation in leaf chemistry (phenolics and nitrogen) was unrelated to genotypic richness. Genotypic richness did not predict tissue loss to herbivores or epiphyte load, however we did find that increased herbivore damage was positively correlated with allelic richness. Although there was no clear relationship between higher primary productivity and genotypic richness, variation in shoot productivity within a meadow was significantly greater in more genotypically diverse meadows. The proportion of phenotypic variation explained by environmental conditions varied among different genotypes, and there was generally no variation in phenotypic traits among genotypes present in the same meadows. Our results show that genotypic richness as measured through the use of presumably neutral DNA markers does covary with phenotypic variation in functionally relevant traits such as leaf morphology and shoot productivity. The remarkably long lifespan of individualPosidoniaplants suggests that plasticity within genotypes has played an important role in the longevity of the species. However, the strong link between genotypic and phenotypic variation suggests that a range of genotypes is still the best case scenario for adaptation to and recovery from predicted environmental change.

scholarly journals Diversity of parental environments increases phenotypic variation in Arabidopsis populations more than genetic diversity but similarly affects productivity

2020 ◽  
Author(s):  
Javier Puy ◽  
Carlos P Carmona ◽  
Hana Dvořáková ◽  
Vít Latzel ◽  
Francesco de Bello
Keyword(s):  
Genetic Diversity ◽  
Environmental Conditions ◽  
Phenotypic Variation ◽  
Ecosystem Functioning ◽  
Phenotypic Variability ◽  
Population Type ◽  
Diversity Effect ◽  
Environmental Fluctuations ◽  
Intraspecific Trait Variability ◽  
Trait Variability

Abstract Background and Aims The observed positive diversity effect on ecosystem functioning has rarely been assessed in terms of intraspecific trait variability within populations. Intraspecific phenotypic variability could stem both from underlying genetic diversity and from plasticity in response to environmental cues. The latter might derive from modifications to a plant’s epigenome and potentially last multiple generations in response to previous environmental conditions. We experimentally disentangled the role of genetic diversity and diversity of parental environments on population productivity, resistance against environmental fluctuations and intraspecific phenotypic variation. Methods A glasshouse experiment was conducted in which different types of Arabidopsis thaliana populations were established: one population type with differing levels of genetic diversity and another type, genetically identical, but with varying diversity levels of the parental environments (parents grown in the same or different environments). The latter population type was further combined, or not, with experimental demethylation to reduce the potential epigenetic diversity produced by the diversity of parental environments. Furthermore, all populations were each grown under different environmental conditions (control, fertilization and waterlogging). Mortality, productivity and trait variability were measured in each population. Key Results Parental environments triggered phenotypic modifications in the offspring, which translated into more functionally diverse populations when offspring from parents grown under different conditions were brought together in mixtures. In general, neither the increase in genetic diversity nor the increase in diversity of parental environments had a remarkable effect on productivity or resistance to environmental fluctuations. However, when the epigenetic variation was reduced via demethylation, mixtures were less productive than monocultures (i.e. negative net diversity effect), caused by the reduction of phenotypic differences between different parental origins. Conclusions A diversity of environmental parental origins within a population could ameliorate the negative effect of competition between coexisting individuals by increasing intraspecific phenotypic variation. A diversity of parental environments could thus have comparable effects to genetic diversity. Disentangling the effect of genetic diversity and that of parental environments appears to be an important step in understanding the effect of intraspecific trait variability on coexistence and ecosystem functioning.

scholarly journals Selection for recombination in a polygenic model – the mechanism

1988 ◽  
Vol 51 (1) ◽  
pp. 59-63 ◽  
Author(s):  
J. Maynard Smith
Keyword(s):  
Linkage Disequilibrium ◽  
Recombination Rate ◽  
Phenotypic Variability ◽  
Directional Selection ◽  
Polygenic Model ◽  
Infinite Population ◽  
Selection For ◽  
Repulsion Linkage

SummaryA polygenic model has been simulated in order to reveal the process whereby selection in an infinite population can lead to an increase in the frequency of alleles causing higher rates of recombination (CH alleles). Directional selection generates repulsion linkage disequilibrium (+ − + −), which is less strong in CH gametes (gametes carrying CH alleles). In consequence, CH gametes contribute greater phenotypic variability, and therefore respond more to directional selection: that is, they accumulate more selectively favoured alleles. CH alleles then increase in frequency by hitch-hiking. In contrast, normalizing selection, or frequent changes in the direction of selection, favour alleles for a low recombination rate.

scholarly journals Altered trait variability in response to size-selective mortality

2016 ◽  
Vol 12 (9) ◽  
pp. 20160584 ◽  
Author(s):  
Silva Uusi-Heikkilä ◽  
Kai Lindström ◽  
Noora Parre ◽  
Robert Arlinghaus ◽  
Josep Alós ◽  
...  
Keyword(s):  
Body Size ◽  
Phenotypic Variability ◽  
Large Body ◽  
Size Variation ◽  
Directional Selection ◽  
Fish Stocks ◽  
Alternative Feeding ◽  
Stability And Resilience ◽  
Feeding Environments ◽  
Trait Variability

Changes in trait variability owing to size-selective harvesting have received little attention in comparison with changes in mean trait values, perhaps because of the expectation that phenotypic variability should generally be eroded by directional selection typical for fishing and hunting. We show, however, that directional selection, in particular for large body size, leads to increased body-size variation in experimentally harvested zebrafish ( Danio rerio ) populations exposed to two alternative feeding environments: ad libitum and temporarily restricted food availability. Trait variation may influence population adaptivity, stability and resilience. Therefore, rather than exerting selection pressures that favour small individuals, our results stress the importance of protecting large ones, as they can harbour a great amount of variation within a population, to manage fish stocks sustainably.

Measuring natural selection on multivariate phenotypic traits: a protocol for verifiable and reproducible analyses of natural selection

2019 ◽  
Vol 65 (3-4) ◽  
pp. 130-136 ◽  
Author(s):  
Facundo Xavier Palacio ◽  
Mariano Ordano ◽  
Santiago Benitez-Vieyra
Keyword(s):  
Regression Analysis ◽  
Natural Selection ◽  
Evolutionary Biology ◽  
Specific Model ◽  
Quadratic Model ◽  
Standard Errors ◽  
Phenotypic Traits ◽  
Linear Gradient ◽  
Selection Gradients ◽  
Model Residuals

The use of multiple regression analysis to quantify the regime and strength of natural selection in nature has been an influential approach in evolutionary biology over the last 36 years. However, many studies fail to report the protocol of estimation of selection coefficients (selection gradients) and the specific model assumptions, thus failing to verify and reproduce the estimation of selection coefficients. We present a brief overview of the Lande and Arnold’s approach and a step-by-step R routine to aid researchers to perform a verifiable and reproducible regression analysis of natural selection. The steps involved in the analysis include: (1) assessing collinearity between phenotypic traits, (2) testing normality of model residuals, and (3) testing multivariate normality of phenotypic traits. We also performed a series of simulations to test the effect of non-symmetrical (skewed) phenotypic traits on the estimation of linear selection gradients. These showed that the bias in the linear gradient increased with increased skewness in phenotypic traits for the quadratic model, whereas the linear gradient of a model with only linear terms was nearly independent of trait skewness. If none of the above assumptions are met, selection gradients need to be estimated from two separate equations, whereas standard errors must be computed using other methods (e.g. bootstrapping). We expect that the procedure outlined here and the availability of analytical codes motivate the verifiability and reproducibility of the Lande and Arnold’s approach in the study of microevolution.

Sex-Specific Phenotypic Variability and Social Organization in the Chiribaya of Southern Peru

2010 ◽  
Vol 21 (4) ◽  
pp. 375-397 ◽  
Author(s):  
Kenneth C. Nystrom ◽  
Christine M. Malcom
Keyword(s):  
Social Organization ◽  
Phenotypic Variability ◽  
Explanatory Models ◽  
Phenotypic Traits ◽  
Data Set ◽  
Southern Peru ◽  
Yield Information ◽  
The Two Cultures ◽  
Unique Nature ◽  
Biological Relationship

AbstractAnalyses of skeletal phenotypic traits have the potential to yield information pertaining to social organization, such as kinship and residence patterns. In this research, we examine sex-specific phenotypic variability of craniofacial and mandibular metric traits in eight skeletal samples from four sites (San Gerónimo, Chiribaya Alta, Chiribaya Baja, and El Yaral) attributed to the Chiribaya polity (A.D. 772–1350) and a contemporary Ilo-Tumilaca/Cabuza group (El Algodonal) from southern Peru. Through this data set we investigate various aspects of social organization (e.g., postmarital residence patterns) within the Chiribaya polity. We also examine Chiribaya interactions with the contemporaneous, yet culturally distinct, Tumilaca cultural group. The pattern of between-group bias-corrected estimates of biological distances points toward a more distant biological relationship between the two cultures than has previously been reported. Among the Chiribaya groups considered, determinant ratio analyses indicate that males from two cemeteries (Chiribaya Alta Cemetery 4 and Chiribaya Alta Cemetery 7) were significantly more variable than females, suggesting that males were the more mobile sex. Several explanatory models are considered, including a matrilocal residence pattern and the in-migration of males. We also examine the unique nature of results from within Chiribaya Alta, which support the argument made by previous researchers that this site represents a regional political center.

scholarly journals Effects on phenotypic variability of directional selection arising through genetic differences in residual variability

2004 ◽  
Vol 83 (2) ◽  
pp. 121-132 ◽  
Author(s):  
WILLIAM G. HILL ◽  
XU-SHENG ZHANG
Keyword(s):  
Genetic Variance ◽  
Environmental Variability ◽  
Phenotypic Variability ◽  
Additive Genetic Variance ◽  
Directional Selection ◽  
Frequency Change ◽  
Phenotypic Variance ◽  
Additive Effects ◽  
Genetic Covariance ◽  
Mean And Variance

In standard models of quantitative traits, genotypes are assumed to differ in mean but not variance of the trait. Here we consider directional selection for a quantitative trait for which genotypes also confer differences in variability, viewed either as differences in residual phenotypic variance when individual loci are concerned or as differences in environmental variability when the whole genome is considered. At an individual locus with additive effects, the selective value of the increasing allele is given by ia/σ+½ixb/σ2, where i is the selection intensity, x is the standardized truncation point, σ2 is the phenotypic variance, and a/σ and b/σ2 are the standardized differences in mean and variance respectively between genotypes at the locus. Assuming additive effects on mean and variance across loci, the response to selection on phenotype in mean is iσAm2/σ+½ixcovAmv/σ2 and in variance is icovAmv/σ+½ixσ2Av/σ2, where σAm2 is the (usual) additive genetic variance of effects of genes on the mean, σ2Av is the corresponding additive genetic variance of their effects on the variance, and covAmv is the additive genetic covariance of their effects. Changes in variance also have to be corrected for any changes due to gene frequency change and for the Bulmer effect, and relevant formulae are given. It is shown that effects on variance are likely to be greatest when selection is intense and when selection is on individual phenotype or within family deviation rather than on family mean performance. The evidence for and implications of such variability in variance are discussed.

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