HEC

HEC simulates and analyzes evolutionary dynamics of prokaryotic communities to investigate effects of horizontal gene transfer (HGT), population fitness, and phenotypic regulation on community stability.


Key Features:

  • Integrated modeling approaches: Combines generalized and portrait modeling approaches for prokaryotic community simulation and analysis.
  • Dynamic model structure modification: Allows modification of the structure of current models during simulations.
  • Atrophic ring-like network simulation: Simulates communities structured as atrophic ring-like networks with HGT-mediated metabolic exchanges.
  • Trophic ring-like antagonistic network analysis: Models trophic ring-like networks of antagonistic communities to assess effects of single-population fitness changes on system behavior.
  • Fitness–stability relationship: Demonstrates that increasing the fitness of a single population in a trophic ring-like network can increase dependency on environmental fluctuations.
  • HGT donor and recipient effects: Shows that horizontal gene transfer can confer selective advantages to both recipient and donor populations.
  • Phenotypic regulation handling: Represents phenotypic traits influenced by genetic, epigenetic, and other regulatory factors within community models.
  • Information transduction modeling: Models processes of information transduction among populations that resemble horizontal gene transfer.

Scientific Applications:

  • Bacterial ecosystem dynamics: Simulates and analyzes evolutionary and ecological dynamics in bacterial communities.
  • Metabolic exchange studies: Investigates HGT-driven metabolic exchanges in ring-like community structures.
  • Stability and environmental response: Evaluates how population fitness changes influence community dependency on environmental fluctuations.
  • Evolutionary maintenance of HGT: Explores how HGT advantages to donors and recipients affect the persistence of gene transfer in populations.
  • Phenotypic regulation analysis: Studies effects of genetic, epigenetic, and regulatory influences on phenotypes within community interactions.
  • Information transduction research: Examines processes analogous to HGT that mediate information flow among populations.

Methodology:

Implements generalized and portrait modeling approaches and supports dynamic modification of model structure to run simulations of prokaryotic community dynamics including horizontal gene transfer and phenotypic regulation.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Windows
Programming Languages:
Java
Added:
8/3/2017
Last Updated:
12/10/2018

Operations

Publications

Lashin SA, et al. Simulation of coevolution in community by using the "Evolutionary Constructor" program. In Silico Biol. 2007; 7:261-75.

PMID: 18415976

Documentation

Links