Evolutionary dynamics models in biometrical genetics supports QTL $$\times $$ × environment interactions

2019 ◽  
Vol 98 (2) ◽  
Author(s):  
Farshad Fattahi ◽  
Barat Ali Fakheri
2021 ◽  
Vol 11 (1) ◽  
pp. 117-125
Author(s):  
Yu.I. Nechaev ◽  

An ontological synthesis of models for interpreting non-stationary dynamics in onboard intelligence systems operating in the emergency computing mode (Urgent Computing - UC) is considered. The ontological system of a dynamic knowledge base is formulated on the basis of theoretical models of the modern catastrophe theory (СT). The analysis and forecast of the evolutionary dynamics of a non-stationary object is implemented in a multiprocessor computing environment. Within the framework of the ontological system, an approach to the interpretation of non-stationary dy-namics using fractal geometry and the theory of dynamical systems stability is formulated. The practical application of the developed ontology model is discussed in relation to the interpretation of the interaction of a marine dynamic object (MDO) with the external environment at a given time interval. The dynamic СT model determines the motion of the MDO system to the target attractor and in case of stability loss. Examples of the implementation of the ontological synthesis of non-stationary dynamics in safety systems for navigation and landing of ship-based aircraft are given.


2019 ◽  
Author(s):  
Evgeniia Alekseeva ◽  
Michael Doebeli ◽  
Iaroslav Ispolatov

AbstractWe use adaptive dynamics models to study how changes in the abiotic environment affect patterns of evolutionary dynamics and diversity in evolving communities of organisms with complex phenotypes. The models are based on the logistic competition model and environmental changes are implemented as a temporal change of the carrying capacity as a function of phenotype. In general we observe that environmental changes cause a reduction in the number of species, in total population size, and in phenotypic diversity. The rate of environmental change is crucial for determining whether a community survives or undergoes extinction. Until some critical rate of environmental changes, species are able to follow evolutionarily the shifting phenotypic optimum of the carrying capacity, and many communities adapt to the changing conditions and converge to new stationary states. When environmental changes stop, such communities gradually restore their initial phenotypic diversity.


2017 ◽  
Vol 10 (6) ◽  
pp. 1898
Author(s):  
Bruno Lopes Silva ◽  
Ilton Araújo Soares

Objetivamos a partir do desenvolvimento deste trabalho propor uma metodologia de integração e articulação de diferentes modelos para análise de sistemas ambientais. Para colocar em prática essa proposta, adotamos como aporte teórico-metodológico principal as noções de modelagem sistêmica, cunhadas por Christofoletti (1999), enfatizando sobretudo, os modelos morfológicos, processuais e de dinâmicas evolutivas. A partir desse trabalho foi possível desenvolver uma proposta de integração desses três modelos para o estudo de bacias hidrográficas, bem como a sua utilização para a identificação de indicadores.A B S T R A C TWe aim to develop a methodology for the integration and articulation of different models for the analysis of environmental systems. In order to put this proposal into practice, we adopted the notion of systemic modeling, coined by Christofoletti (1999), as the main theoretical and methodological contribution, emphasizing above all the morphological, procedural and evolutionary dynamics models. From this work it was possible to develop a proposal to integrate these three models for the study of river basins, as well as their use for the identification of indicators.Keywords: modeling, indicators, hydrographic basin


2020 ◽  
Author(s):  
Jie Wang ◽  
Michael W. Itgen ◽  
Huiju Wang ◽  
Yuzhou Gong ◽  
Jianping Jiang ◽  
...  

AbstractTransposable elements (TEs) are a major determinant of eukaryotic genome size. The collective properties of a genomic TE community reveal the history of TE/host evolutionary dynamics and impact present-day host structure and function, from genome to organism levels. In rare cases, TE community/genome size has greatly expanded in animals, associated with increased cell size and altered anatomy and physiology. We characterize the TE landscape of the genome and transcriptome in an amphibian with a giant genome — the caecilian Ichthyophis bannanicus, which we show has a genome size of 12.2 Gb. Amphibians are an important model system because the clade includes independent cases of genomic gigantism. The I. bannanicus genome differs compositionally from other giant amphibian genomes, but shares a low rate of ectopic-recombination-mediated deletion. We examine TE activity using expression and divergence plots; TEs account for 15% of somatic transcription, and most superfamilies appear active. We quantify TE diversity in the caecilian, as well as other vertebrates with a range of genome sizes, using diversity indices commonly applied in community ecology. We synthesize previous models integrating TE abundance, diversity, and activity, and we test whether the caecilian meets model predictions for genomes with high TE abundance. We propose thorough, consistent characterization of TEs to strengthen future comparative analyses. Such analyses will ultimately be required to reveal whether the divergent TE assemblages found across convergent gigantic genomes reflect fundamental shared features of TE/host genome evolutionary dynamics.


2017 ◽  
Vol 14 (3) ◽  
pp. 331-342 ◽  
Author(s):  
Thomas John Cooke ◽  
Ian Shuttleworth

It is widely presumed that information and communication technologies, or ICTs, enable migration in several ways; primarily by reducing the costs of migration. However, a reconsideration of the relationship between ICTs and migration suggests that ICTs may just as well hinder migration; primarily by reducing the costs of not moving.  Using data from the US Panel Study of Income Dynamics, models that control for sources of observed and unobserved heterogeneity indicate a strong negative effect of ICT use on inter-state migration within the United States. These results help to explain the long-term decline in internal migration within the United States.


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