scholarly journals Developmental variability drives mouse molar evolution along an evolutionary line of least resistance

2019 ◽  
Author(s):  
Luke Hayden ◽  
Katerina Lochovska ◽  
Marie Sémon ◽  
Sabrina Renaud ◽  
Marie-Laure Delignette-Muller ◽  
...  
Keyword(s):  
Developmental Biology ◽  
Temporal Dynamics ◽  
Morphological Variability ◽  
Evolutionary Developmental Biology ◽  
Lineage Tracing ◽  
Small Scale ◽  
Phenotypic Change ◽  
Developmental Variation ◽  
Upper Molar ◽  
Lower Molar

AbstractDevelopmental systems may preferentially produce certain types of variation and, thereby, bias phenotypic evolution. This is a central issue in evolutionary developmental biology, albeit somewhat understudied. Here we focus on the shape of the first upper molar which shows a clear, repeated tendency for anterior elongation at different scales from within mouse populations to between species of the Mus genus. In contrast, the lower molar displays more evolutionary stability. We compared upper and lower molar development of mouse strains representative of this fine variation (DUHi: elongated molars and FVB: short molars). Using a novel quantitative approach to examine small-scale developmental variation, we identified temporal, spatial and functional differences in tooth signaling centers between the two strains, likely due to different tuning of the activation-inhibition mechanisms ruling signaling center patterning. Based on the spatio-temporal dynamics of signaling centers and their lineage tracing, we show an intrinsic difference in the fate of signaling centers between lower and upper jaw of both strains. This can explain why variations in activation-inhibition parameters between strains are turned into anterior elongation in the upper molar only. Finally, although the “elongated” DUHi strain was inbred, first molar elongation was variable in adults, and we found high levels of intra-strain developmental variation in upper molar development. This is consistent with the inherent developmental instability of the upper molar system enabling the morphological variability of the tooth phenotype.In conclusion, we have uncovered developmental properties that underlie the molar’s capacity for repeated phenotypic change, or said differently, that underlie a “line of least resistance”. By focusing on the developmental basis of fine phenotypic variation, our study also challenges some common assumptions and practices in developmental and evolutionary developmental biology.

The Intellectual Challenge of Morphological Evolution: A Case for Variational Structuralism

2014 ◽  
Author(s):  
Günter P. Wagner
Keyword(s):  
Developmental Biology ◽  
Evolutionary Biology ◽  
Morphological Evolution ◽  
Evolutionary Developmental Biology ◽  
Phenotypic Evolution ◽  
Developmental Variation ◽  
Core Idea ◽  
Intellectual Challenge

This chapter explores variational structuralism, whose core idea is that organisms and their parts play causal roles in shaping the patterns of phenotypic evolution. Drawing on the work of pioneers such as Ron Amundson, it discusses the conceptual incompatibilities between two styles of thinking in evolutionary biology: functionalism and structuralism. It proceeds by explaining the meaning of developmental types and structuralist concepts arising from macromolecular studies. It also examines facts and ideas about bodies, Rupert Riedl's theory of the “immitatory epigenotype,” and Neil Shubin and Pere Alberch's developmental interpretation of tetrapod limbs. Finally, it looks at the emergence of molecular structuralism and the enigma of developmental variation. The chapter argues that typology naturally emerged from the facts of evolutionary developmental biology and that it would be seriously problematic to try to avoid it.

scholarly journals Coalescent models for developmental biology and the spatio-temporal dynamics of growing tissues.

2015 ◽  
Author(s):  
Patrick Smadbeck ◽  
Michael P.H. Stumpf
Keyword(s):  
Developmental Biology ◽  
Population Genetics ◽  
Large Scale ◽  
Cell Tracking ◽  
Temporal Dynamics ◽  
Growth Models ◽  
Tissue Growth ◽  
Lineage Tracing ◽  
Space And Time ◽  
Spatio Temporal

Development is a process that needs to tightly coordinated in both space and time. Cell tracking and lineage tracing have become important experimental techniques in developmental biology and allow us to map the fate of cells and their progeny in both space and time. A generic feature of developing (as well as homeostatic) tissues that these analyses have revealed is that relatively few cells give rise to the bulk of the cells in a tissue; the lineages of most cells come to an end fairly quickly. This has spurned the interest also of computational and theoretical biologists/physicists who have developed a range of modelling -- perhaps most notably are the agent-based modelling (ABM) --- approaches. These can become computationally prohibitively expensive but seem to capture some of the features observed in experiments. Here we develop a complementary perspective that allows us to understand the dynamics leading to the formation of a tissue (or colony of cells). Borrowing from the rich population genetics literature we develop genealogical models of tissue development that trace the ancestry of cells in a tissue back to their most recent common ancestors. We apply this approach to tissues that grow under confined conditions --- as would, for example, be appropriate for the neural crest --- and unbounded growth --- illustrative of the behaviour of 2D tumours or bacterial colonies. The classical coalescent model from population genetics is readily adapted to capture tissue genealogies for different models of tissue growth and development. We show that simple but universal scaling relationships allow us to establish relationships between the coalescent and different fractal growth models that have been extensively studied in many different contexts, including developmental biology. Using our genealogical perspective we are able to study the statistical properties of the processes that give rise to tissues of cells, without the need for large-scale simulations.

Development

2003 ◽  
Author(s):  
Mary Jane West-Eberhard
Keyword(s):  
Developmental Biology ◽  
Natural Selection ◽  
Adaptive Evolution ◽  
Life Histories ◽  
Environmental Influence ◽  
Evolutionary Developmental Biology ◽  
Phenotypic Change ◽  
Frequency Change ◽  
Variable Environments ◽  
The One

Any comprehensive theory of adaptive evolution has to feature development. Development produces the phenotypic variation that is screened by selection. For a mutation to affect evolution, it must first affect development. In order to understand phenotypic change during evolution, one has to understand phenotypic change during development, as well as how to relate that change to selection and gene-frequency change (evolution). The evolution of the phenotype is synonymous with the evolution of development. The genotype-phenotype problem addressed by the metaphors of chapter 2 is fundamentally a problem of development. Genetic programming, the canalized epigenetic landscape, and the recipes and blueprints contained in the genes—all are metaphors for development. Development is the missing link between genotype and phenotype, a place too often occupied by metaphors in the past. The task of this chapter is to outline a concept of development that connects it to mechanisms, on the one hand, and natural selection and evolution on the other, without a potentially misleading metaphorical crutch. The portrait of development provided by developmental biology is not adequate to this task. Evolutionary developmental biology extensively treats the genomic correlates of gross morphological variation across phyla, with little or no discussion of behavior, physiology, life histories, and the kind of variation within populations that is required for natural selection to work. Some progress toward a population approach has been made in plant developmental biology (e.g., see Lawton-Rauh et al., 2000). But a strong emphasis on the genome means that environmental influence is systematically ignored. If you begin with DNA and view development as “hard-wired” (e.g., Davidson, 2000), you overlook the flexible phenotype and the causes of its variation that are the mainsprings of adaptive evolution. I begin instead with the observation that DNA activity—gene expression—is universally condition sensitive and dependent upon materials from the environment. This implies connections between a DNA-centered approach and conventional insights about adaptive evolution in variable environments. The genome affects development at nearly every turn, so genes obviously play an important role in any theory of development and evolution.

scholarly journals Coalescent models for developmental biology and the spatio-temporal dynamics of growing tissues

2016 ◽  
Vol 13 (117) ◽  
pp. 20160112 ◽  
Author(s):  
Patrick Smadbeck ◽  
Michael P. H. Stumpf
Keyword(s):  
Developmental Biology ◽  
Large Scale ◽  
Cell Tracking ◽  
Temporal Dynamics ◽  
Growth Models ◽  
Lineage Tracing ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Spatio Temporal ◽  
Large Scale Simulations

Development is a process that needs to be tightly coordinated in both space and time. Cell tracking and lineage tracing have become important experimental techniques in developmental biology and allow us to map the fate of cells and their progeny. A generic feature of developing and homeostatic tissues that these analyses have revealed is that relatively few cells give rise to the bulk of the cells in a tissue; the lineages of most cells come to an end quickly. Computational and theoretical biologists/physicists have, in response, developed a range of modelling approaches, most notably agent-based modelling. These models seem to capture features observed in experiments, but can also become computationally expensive. Here, we develop complementary genealogical models of tissue development that trace the ancestry of cells in a tissue back to their most recent common ancestors. We show that with both bounded and unbounded growth simple, but universal scaling relationships allow us to connect coalescent theory with the fractal growth models extensively used in developmental biology. Using our genealogical perspective, it is possible to study bulk statistical properties of the processes that give rise to tissues of cells, without the need for large-scale simulations.

Evo-Devo and the Structure(s) of Evolutionary Theory

2017 ◽  
Author(s):  
Alan C. Love
Keyword(s):  
Developmental Biology ◽  
Evolutionary Theory ◽  
Mechanistic Explanation ◽  
Evolutionary Developmental Biology ◽  
Primary Concern ◽  
Adaptive Function ◽  
Specific Content ◽  
Central Location ◽  
Developmental Form ◽  
Evo Devo

Many researchers have argued that evolutionary developmental biology (evo-devo) constitutes a challenge to standard evolutionary theory, requiring the explicit inclusion of developmental processes that generate variation and attention to organismal form (rather than adaptive function). An analysis of these developmental-form challenges indicates that the primary concern is not the inclusion of specific content but the epistemic organization or structure of evolutionary theory. Proponents of developmental-form challenges favor moving their considerations to a more central location in evolutionary theorizing, in part because of a commitment to the value of mechanistic explanation. This chapter argues there are multiple legitimate structures for evolutionary theory, instead of a single, overarching or canonical organization, and different theory presentations can be understood as idealizations that serve different investigative and explanatory goals in evolutionary inquiry.

scholarly journals Multi-Scale Ionospheric Anomalies Monitoring and Spatio-Temporal Analysis during Intense Storm

Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 215
Author(s):  
Na Cheng ◽  
Shuli Song ◽  
Wei Li
Keyword(s):  
Magnetic Storm ◽  
Large Scale ◽  
Temporal Dynamics ◽  
Ionospheric Disturbance ◽  
Ionospheric Scintillation ◽  
Small Scale ◽  
Electron Content ◽  
Total Electron ◽  
Multi Scale ◽  
Intense Storm

The ionosphere is a significant component of the geospace environment. Storm-induced ionospheric anomalies severely affect the performance of Global Navigation Satellite System (GNSS) Positioning, Navigation, and Timing (PNT) and human space activities, e.g., the Earth observation, deep space exploration, and space weather monitoring and prediction. In this study, we present and discuss the multi-scale ionospheric anomalies monitoring over China using the GNSS observations from the Crustal Movement Observation Network of China (CMONOC) during the 2015 St. Patrick’s Day storm. Total Electron Content (TEC), Ionospheric Electron Density (IED), and the ionospheric disturbance index are used to monitor the storm-induced ionospheric anomalies. This study finally reveals the occurrence of the large-scale ionospheric storms and small-scale ionospheric scintillation during the storm. The results show that this magnetic storm was accompanied by a positive phase and a negative phase ionospheric storm. At the beginning of the main phase of the magnetic storm, both TEC and IED were significantly enhanced. There was long-duration depletion in the topside ionospheric TEC during the recovery phase of the storm. This study also reveals the response and variations in regional ionosphere scintillation. The Rate of the TEC Index (ROTI) was exploited to investigate the ionospheric scintillation and compared with the temporal dynamics of vertical TEC. The analysis of the ROTI proved these storm-induced TEC depletions, which suppressed the occurrence of the ionospheric scintillation. To improve the spatial resolution for ionospheric anomalies monitoring, the regional Three-Dimensional (3D) ionospheric model is reconstructed by the Computerized Ionospheric Tomography (CIT) technique. The spatial-temporal dynamics of ionospheric anomalies during the severe geomagnetic storm was reflected in detail. The IED varied with latitude and altitude dramatically; the maximum IED decreased, and the area where IEDs were maximum moved southward.

scholarly journals Nuclear Receptors and Development of Marine Invertebrates

Genes ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 83
Author(s):  
Angelica Miglioli ◽  
Laura Canesi ◽  
Isa D. L. Gomes ◽  
Michael Schubert ◽  
Rémi Dumollard
Keyword(s):  
Developmental Biology ◽  
Nuclear Receptors ◽  
Marine Invertebrates ◽  
Transcriptional Response ◽  
Evolutionary Developmental Biology ◽  
Significant Progress ◽  
Ligand Interactions ◽  
Ancestral States ◽  
Nr Activity ◽  
Unique Ability

Nuclear Receptors (NRs) are a superfamily of transcription factors specific to metazoans that have the unique ability to directly translate the message of a signaling molecule into a transcriptional response. In vertebrates, NRs are pivotal players in countless processes of both embryonic and adult physiology, with embryonic development being one of the most dynamic periods of NR activity. Accumulating evidence suggests that NR signaling is also a major regulator of development in marine invertebrates, although ligands and transactivation dynamics are not necessarily conserved with respect to vertebrates. The explosion of genome sequencing projects and the interpretation of the resulting data in a phylogenetic context allowed significant progress toward an understanding of NR superfamily evolution, both in terms of molecular activities and developmental functions. In this context, marine invertebrates have been crucial for characterizing the ancestral states of NR-ligand interactions, further strengthening the importance of these organisms in the field of evolutionary developmental biology.

Sign in / Sign up

Export Citation Format

Share Document