Evolution Of Complex Phenotypes Research Articles

The effect of dietary adaption on cranial morphological integration in capuchins (order Primates, genus Cebus).

A fundamental challenge of morphology is to identify the underlying evolutionary and developmental mechanisms leading to correlated phenotypic characters. Patterns and magnitudes of morphological integration and their association with environmental variables are essential for understanding the evolution of complex phenotypes, yet the nature of the relevant selective pressures remains poorly understood. In this study, the adaptive significance of morphological integration was evaluated through the association between feeding mechanics, ingestive behavior and craniofacial variation. Five capuchin species were examined, Cebus apella sensu stricto, Cebus libidinosus, Cebus nigritus, Cebus olivaceus and Cebus albifrons. Twenty three-dimensional landmarks were chosen to sample facial regions experiencing high strains during feeding, characteristics affecting muscular mechanical advantage and basicranial regions. Integration structure and magnitude between and within the oral and zygomatic subunits, between and within blocks maximizing modularity and within the face, the basicranium and the cranium were examined using partial-least squares, eigenvalue variance, integration indices compared inter-specifically at a common level of sampled population variance and cluster analyses. Results are consistent with previous findings reporting a relative constancy of facial and cranial correlation patterns across mammals, while covariance magnitudes vary. Results further suggest that food material properties structure integration among functionally-linked facial elements and possibly integration between the face and the basicranium. Hard-object-feeding capuchins, especially C.apella s.s., whose faces experience particularly high biomechanical loads are characterized by higher facial and cranial integration especially compared to C.albifrons, likely because morphotypes compromising feeding performance are selected against in species relying on obdurate fallback foods. This is the first study to report a link between food material properties and facial and cranial integration. Furthermore, results do not identify the consistent presence of cranial modules yielding support to suggestions that despite the distinct embryological imprints of its elements the cranium of placental mammals is not characterized by a modular architecture.

Comparative studies of gene expression and the evolution of gene regulation

The hypothesis that differences in gene regulation have an important role in speciation and adaptation is more than 40 years old. With the advent of new sequencing technologies, we are able to characterize and study gene expression levels and associated regulatory mechanisms in a large number of individuals and species at an unprecedented resolution and scale. We have thus gained new insights into the evolutionary pressures that shape gene expression levels and have developed an appreciation for the relative importance of evolutionary changes in different regulatory genetic and epigenetic mechanisms. The current challenge is to link gene regulatory changes to adaptive evolution of complex phenotypes. Here we mainly focus on comparative studies in primates and how they are complemented by studies in model organisms.

Developmental Evolution in Social Insects: Regulatory Networks from Genes to Societies

The evolution and development of complex phenotypes in social insect colonies, such as queen-worker dimorphism or division of labor, can, in our opinion, only be fully understood within an expanded mechanistic framework of Developmental Evolution. Conversely, social insects offer a fertile research area in which fundamental questions of Developmental Evolution can be addressed empirically. We review the concept of gene regulatory networks (GRNs) that aims to fully describe the battery of interacting genomic modules that are differentially expressed during the development of individual organisms. We discuss how distinct types of network models have been used to study different levels of biological organization in social insects, from GRNs to social networks. We propose that these hierarchical networks spanning different organizational levels from genes to societies should be integrated and incorporated into full GRN models to elucidate the evolutionary and developmental mechanisms underlying social insect phenotypes. Finally, we discuss prospects and approaches to achieve such an integration.

Evolution of patterns on Conus shells

The pigmentation patterns of shells in the genus Conus can be generated by a neural-network model of the mantle. We fit model parameters to the shell pigmentation patterns of 19 living Conus species for which a well resolved phylogeny is available. We infer the evolutionary history of these parameters and use these results to infer the pigmentation patterns of ancestral species. The methods we use allow us to characterize the evolutionary history of a neural network, an organ that cannot be preserved in the fossil record. These results are also notable because the inferred patterns of ancestral species sometimes lie outside the range of patterns of their living descendants, and illustrate how development imposes constraints on the evolution of complex phenotypes.

T Cell Adaptive Immunity Proceeds through Environment-Induced Adaptation from the Exposure of Cryptic Genetic Variation.

Evolution is often characterized as a process involving incremental genetic changes that are slowly discovered and fixed in a population through genetic drift and selection. However, a growing body of evidence is finding that changes in the environment frequently induce adaptations that are much too rapid to occur by an incremental genetic search process. Rapid evolution is hypothesized to be facilitated by mutations present within the population that are silent or “cryptic” within the first environment but are co-opted or “exapted” to the new environment, providing a selective advantage once revealed. Although cryptic mutations have recently been shown to facilitate evolution in RNA enzymes, their role in the evolution of complex phenotypes has not been proven. In support of this wider role, this paper describes an unambiguous relationship between cryptic genetic variation and complex phenotypic responses within the immune system. By reviewing the biology of the adaptive immune system through the lens of evolution, we show that T cell adaptive immunity constitutes an exemplary model system where cryptic alleles drive rapid adaptation of complex traits. In naive T cells, normally cryptic differences in T cell receptor reveal diversity in activation responses when the cellular population is presented with a novel environment during infection. We summarize how the adaptive immune response presents a well studied and appropriate experimental system that can be used to confirm and expand upon theoretical evolutionary models describing how seemingly small and innocuous mutations can drive rapid cellular evolution.

Partition decoupling for multi-gene analysis of gene expression profiling data

BackgroundMulti-gene interactions likely play an important role in the development of complex phenotypes, and relationships between interacting genes pose a challenging statistical problem in microarray analysis, since the genes involved in these interactions may not exhibit marginal differential expression. As a result, it is necessary to develop tools that can identify sets of interacting genes that discriminate phenotypes without requiring that the classification boundary between phenotypes be convex.ResultsWe describe an extension and application of a new unsupervised statistical learning technique, known as the Partition Decoupling Method (PDM), to gene expression microarray data. This method may be used to classify samples based on multi-gene expression patterns and to identify pathways associated with phenotype, without relying upon the differential expression of individual genes. The PDM uses iterated spectral clustering and scrubbing steps, revealing at each iteration progressively finer structure in the geometry of the data. Because spectral clustering has the ability to discern clusters that are not linearly separable, it is able to articulate relationships between samples that would be missed by distance- and tree-based classifiers. After projecting the data onto the cluster centroids and computing the residuals ("scrubbing"), one can repeat the spectral clustering, revealing clusters that were not discernible in the first layer. These iterations, each of which provide a partition of the data that is decoupled from the others, are carried forward until the structure in the residuals is indistinguishable from noise, preventing over-fitting. We describe the PDM in detail and apply it to three publicly available cancer gene expression data sets. By applying the PDM on a pathway-by-pathway basis and identifying those pathways that permit unsupervised clustering of samples that match known sample characteristics, we show how the PDM may be used to find sets of mechanistically-related genes that may play a role in disease. An R package to carry out the PDM is available for download.ConclusionsWe show that the PDM is a useful tool for the analysis of gene expression data from complex diseases, where phenotypes are not linearly separable and multi-gene effects are likely to play a role. Our results demonstrate that the PDM is able to distinguish cell types and treatments with higher accuracy than is obtained through other approaches, and that the Pathway-PDM application is a valuable technique for identifying disease-associated pathways.

Modularity in the skull and cranial vasculature of laboratory mice: implications for the evolution of complex phenotypes

The generation of coordinated morphological change over time results from the interconnectedness of evolution and development. The modular architecture of development results in varying degrees of integration and independence among parts of the phenotype, and facilitates the production of phenotypic variation in complex anatomical units composed of multiple tissue types. Here we use geometric morphometrics to investigate modularity in the arterial Circle of Willis (CW) and skull of the CD-1 laboratory mouse. We contrast a hypothesis of tight integration between these tissues with a hypothesis of more modular organization, to determine the level at which natural selection works to generate coordinated change. We report a complex pattern of covariation that indicates that the skull and CW are highly integrated and developmentally linked. Further, we report higher levels of fluctuating asymmetry in the CW than in the skull, suggesting a greater potential for lability in this tissue. These results suggest that epigenetic interactions or genetic influences on regional development are more important determinants of covariation structure than the factors that produce covariation within individual tissues or organ systems.

Evolution of maternal effects: past and present.

It has been said that many original ideas reflect a convergence of related thought that coalesces into a unified representation of what many have been thinking. This is certainly true for the subfield of maternal effects evolution. The study of maternal effects has a long history. The first two

A Family of Insertion Sequences That Impacts Integrons by Specific Targeting of Gene Cassette Recombination Sites, the IS1111-attCGroup

Integrons facilitate the evolution of complex phenotypes by physical and transcriptional linkage of genes. They can be categorized as chromosomal integrons (CIs) or mobile resistance integrons (MRIs). The significance of MRIs for the problem of multiple antibiotic resistance is well established. CIs are more widespread, but their only demonstrated significance is as a reservoir of gene cassettes for MRIs. In characterizing CIs associated with Pseudomonas, we discovered a subfamily of insertion sequences, termed the IS1111-attC group, that insert into the recombination sites of gene cassettes (attC site) by site-specific recombination. IS1111-attC elements appear to have recently spread from Pseudomonas species to clinical class 1 integrons. Such elements are expected to significantly impact integrons. To explore this further, we examined CIs in 24 strains representing multiple levels of evolutionary divergence within the genus Pseudomonas. Cassette arrays frequently had a degenerated "footprint" of an IS1111-attC group element at their terminus and in three cases were occupied by multiple functional IS1111-attC elements. Within Pseudomonas spp. the IS-integron interaction appears to follow an evolutionarily rapid cycle of infection, expansion, and extinction. The final outcome is extinction of the IS element and modification of the right-hand boundary of the integron. This system represents an unusual example of convergent evolution whereby heterologous families of site-specific recombinases of distinct genetic elements have adopted the same target site. The interactions described here represent a model for evolutionary processes that offer insights to a number of aspects of the biology of integrons and other mosaic genetic elements.

Inferring Natural Selection on Fine-Scale Chromatin Organization in Yeast

Despite its potential role in the evolution of complex phenotypes, the detection of negative (purifying) and positive selection on noncoding regulatory sequence has been elusive because of the inherent difficulty in predicting the functional consequences of mutations on noncoding sequence. Because the functioning of regulatory sequence depends upon both chromatin configuration and cis-regulatory factor binding, we investigate the idea that the functional conservation of regulatory regions should be associated with the conservation of sequence-dependent bending properties of DNA that determine its affinity for the nucleosome. Recent advances in the computational prediction of sequence-dependent affinity to nucleosomes provide an opportunity to distinguish between neutral and nonneutral evolution of fine-scale chromatin organization. Here, a statistical test is presented for detecting evolutionary conservation and/or adaptive evolution of nucleosome affinity from interspecies comparisons of DNA sequences. Local nucleosome affinities of homologous sequences were calculated using 2 recently published methods. A randomization test was applied to sites of mutation to evaluate the similarity of DNA-nucleosome affinity between several closely related species of Saccharomyces yeast. For most of the genes we analyzed, the conservation of local nucleosome affinity was detected at a few distinct locations in the upstream noncoding region. Our results also demonstrate that different patterns of chromatin evolution have shaped DNA-nucleosome interaction at the core promoters of TATA-containing and TATA-less genes and that elevated purifying selection has maintained low affinity for nucleosome in the core promoters of the latter group. Across the entire yeast genome, DNA-nucleosome interaction was also discovered to be significantly more conserved in TATA-less genes compared with TATA-containing genes.

Survival of the sparsest: robust gene networks are parsimonious

Biological gene networks appear to be dynamically robust to mutation, stochasticity, and changes in the environment and also appear to be sparsely connected. Studies with computational models, however, have suggested that denser gene networks evolve to be more dynamically robust than sparser networks. We resolve this discrepancy by showing that misassumptions about how to measure robustness in artificial networks have inadvertently discounted the costs of network complexity. We show that when the costs of complexity are taken into account, that robustness implies a parsimonious network structure that is sparsely connected and not unnecessarily complex; and that selection will favor sparse networks when network topology is free to evolve. Because a robust system of heredity is necessary for the adaptive evolution of complex phenotypes, the maintenance of frugal network complexity is likely a crucial design constraint that underlies biological organization.

Molecular Evolution of the Primate Developmental Genes MSX1 and PAX9

In primates, the craniofacial skeleton and the dentition are marked by high levels of interspecific variation. Despite this, there are few comparative species studies conducted at the molecular level to investigate this functional diversity. We have determined nucleotide sequences of MSX1 and PAX9, two developmental genes, in a sample of 27 diverse primate species in order to identify coding or regulatory variation that may be associated with phenotypic diversity. Our analyses have identified four highly conserved noncoding sequences, including one that is conserved across primates and with dogs but not with mice. Although we find that substitution rates vary significantly across MSX1 exons, comparisons of nonsynonymous and synonymous substitution rates (dN/dS) suggest that, as a whole, MSX1 and PAX9 amino acid sequences have been under functional constraint throughout primate evolution. Compared to all other primates in our sample, our analysis of exon 1 in MSX1 finds an unusual pattern of amino acid substitution for Tarsius syrichta, a member of a lineage (tarsiers) that has many unique features among primates. For example, tarsiers are the only extant primates without deciduous incisors, and MSX1 is expressed exclusively in the incisor regions during the earliest stages of dental development. Our overall results provide insight into the utility of comparative species analyses of highly conserved developmental genes and their roles in the evolution of complex phenotypes.

Phenotypic Integration: Studying the Ecology and Evolution of Complex Phenotypes

Phenotypic Integration: Studying the Ecology and Evolution of Complex Phenotypes

Graduality and innovation in the evolution of complex phenotypes: insights from development

The neo-Darwinian paradigm benefits from the assumption that phenotypic variation is gradual and that phenotype and genotype have a relatively simple relationship. These assumptions are historically inherited from the times of the neo-Darwinian synthesis and, consequently, do not include present understanding about development. In this study, understanding about the dynamics of pattern formation is used to explore to that extent phenotypic variation can be expected to be gradual and simply related to molecular variation. Variation in simple phenotypes seems to fit neo-Darwinian assumptions but variation in complex phenotypes does not. Instead, variation in complex phenotypes would have a tendency to relatively less gradual evolution, even at microevolutionary time scales, that would make phylogenetic reconstructions more difficult. In addition, they will have a tendency to exhibit specific trends in innovation rates over group radiations with early accelerations and late decelerations. This work also explores further consequences of these results in our understanding of phenotypic evolution.

Phenotypic Integration: Studying the Ecology and Evolution of Complex Phenotypes. Edited by Massimo Pigliucci and , Katherine Preston. Oxford and New York: Oxford University Press. $59.50. xv + 443 p; ill.; index. ISBN: 0–19–516043–6. 2004.

<i>Phenotypic Integration: Studying the Ecology and Evolution of Complex Phenotypes</i>. <i>Edited by </i>Massimo Pigliucci<i> and </i>, Katherine Preston. <i>Oxford and New York: Oxford University Press</i>. $59.50. xv + 443 p; ill.; index. ISBN: 0–19–516043–6. 2004.

OPPOSING NATURAL SELECTION FROM HERBIVORES AND PATHOGENS MAY MAINTAIN FLORAL-COLOR VARIATION IN CLAYTONIA VIRGINICA (PORTULACACEAE)

The maintenance of floral-color variation within natural populations is enigmatic because directional selection through pollinator preferences combined with random genetic drift should lead to the rapid loss of such variation. Fluctuating, balancing, and negative frequency-dependent selection mediated through pollinators have been identified as factors that may contribute to the maintenance of floral-color variation, and recently it has been suggested that indirect responses to selection on correlated characters through agents of selection other than pollinators may substantially shape the evolution of floral traits. Here, I provide empirical support for this latter view in Claytonia virginica (Portulacaceae) through a multiseason field study, a pollen supplementation study, and an artificial herbivory experiment. These studies show that most individuals fall into one of four discrete color classes, and suggest pollinator-mediated selection for increased floral redness in concurrent years. Floral color is also an indirect target of opposing directional selection via herbivores and pathogens that fluctuates through time. Taken together, these data suggest a novel mechanism by which floral-color variation may be maintained, and illustrate the importance of an inclusive, pluralistic view of selection when investigating the evolution of complex phenotypes.

Phylogenetic Diversity and Conservation Priorities under Distinct Models of Phenotypic Evolution

Abstract: Phylogenetics sometimes plays a major role in conservation planning, although there are still discussions about what to conserve, the evolutionary novelty revealed by adaptive process or the evolutionary potential expressed by neutral genetic divergence. I discuss the relationship between general models of phenotypic evolution and branch‐length transformations used in phylogenetic diversity (PD) indices. Phylogenetic diversity based on molecular phylogenies will be satisfactory under a neutral model of evolution with constant divergence rates. If evolution of phenotypes occurs under stabilizing or directional selection, however, PD will overestimate and underestimate evolutionary diversity, respectively. I took into account phenotypic patterns in quantitative traits by finding ancestral states and, for each ancestral‐descendent pathway, transforming branch length into amounts of phenotypic evolution before calculating PD. As an example, I applied the method in an evaluation of PD in the eight New World biodiversity hotspots. I based the evaluation on the phylogeny of terrestrial Carnivora and transformed and untransformed (time) branch lengths. In all hotspots, time‐only PD values were larger than their respective phenotypic PD estimates, as expected if stabilizing selection drives most of body size evolution. Both PD estimates were highly correlated with species richness across the hotspots, but the priority ranks changed when loss of species restricted to one hotspot was considered. If phenotypic evolution usually occurs under stabilizing selection processes, conservation efforts and resources would be reduced and/or restricted to a few distinct species with high evolutionary rates, reflecting new adaptive peaks. This may be a liberal conservation strategy, however, compared with PD values calculated from time‐calibrate supertrees or molecular phylogenies, and it is still necessary to understand how adaptive processes drive the evolution of complex phenotypes.

OPPOSING NATURAL SELECTION FROM HERBIVORES AND PATHOGENS MAY MAINTAIN FLORAL-COLOR VARIATION IN CLAYTONIA VIRGINICA (PORTULACACEAE)

The maintenance of floral-color variation within natural populations is enigmatic because directional selection through pollinator preferences combined with random genetic drift should lead to the rapid loss of such variation. Fluctuating, balancing, and negative frequency-dependent selection mediated through pollinators have been identified as factors that may contribute to the maintenance of floral-color variation, and recently it has been suggested that indirect responses to selection on correlated characters through agents of selection other than pollinators may substantially shape the evolution of floral traits. Here, I provide empirical support for this latter view in Claytonia virginica (Portulacaceae) through a multiseason field study, a pollen supplementation study, and an artificial herbivory experiment. These studies show that most individuals fall into one of four discrete color classes, and suggest pollinator-mediated selection for increased floral redness in concurrent years. Floral color is also an indirect target of opposing directional selection via herbivores and pathogens that fluctuates through time. Taken together, these data suggest a novel mechanism by which floral-color variation may be maintained, and illustrate the importance of an inclusive, pluralistic view of selection when investigating the evolution of complex phenotypes.

Phenotypic integration: studying the ecology and evolution of complex phenotypes

AbstractPhenotypic integration refers to the study of complex patterns of covariation among functionally related traits in a given organism. It has been investigated throughout the 20th century, but has only recently risen to the forefront of evolutionary ecological research. In this essay, I identify the reasons for this late flourishing of studies on integration, and discuss some of the major areas of current endeavour: the interplay of adaptation and constraints, the genetic and molecular bases of integration, the role of phenotypic plasticity, macroevolutionary studies of integration, and statistical and conceptual issues in the study of the evolution of complex phenotypes. I then conclude with a brief discussion of what I see as the major future directions of research on phenotypic integration and how they relate to our more general quest for the understanding of phenotypic evolution within the neo‐Darwinian framework. I suggest that studying integration provides a particularly stimulating and truly interdisciplinary convergence of researchers from fields as disparate as molecular genetics, developmental biology, evolutionary ecology, palaeontology and even philosophy of science.

Phenotypic plasticity to light intensity in Arabidopsis thaliana: invariance of reaction norms and phenotypic integration

Phenotypic plasticity (the pattern of response of organisms to changes in environmental conditions) and phenotypic integration (the pattern of character correlations) are important components of our understanding of the evolution of complex phenotypes. Most studies published so far in this area have been conducted within populations with the express aim of predicting future response to evolutionary forces. However, among-population differentiation for plasticity and trait correlations are important indicators of recent past events that have shaped the currently observable phenotypes. We investigated variation in the reaction norms of several traits in a large number of accessions of Arabidopsis thaliana exposed to different levels of light quantity as well as the environmental lability of the corresponding across-population character variance–covariance matrix. Our results show that there is an astounding degree of inter-population variation for character means and very little variation for plasticity, in agreement with the idea that A. thaliana is a light-specialist often occurring in open, disturbed habitats. However, this plant also shows patterns of plasticity that are predicted to be adaptive based on functional ecological considerations, such as an increase in either specific leaf area or leaf number (but not both) under low light. We also demonstrate that the set of character correlations in A. thaliana is extremely stable to changes in light availability, contrary to previous findings in the same species when different environmental factors were considered. Several processes that might have been responsible for the observed patterns are discussed as a prelude to follow-up research on these problems.