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Journal of Computer Science & Systems Biology

ISSN: 0974-7230

Open Access

Systems Biology Approaches Towards the Prediction of Prospective Novel Plant System-Derived Products or Services

Abstract

Varoon Vishnu

This is a proposed business model for a systems approach in adapting or optimizing plants towards novel products that briefly explains the growth and recent trends in plant systems using three modeling approaches: L-systems, Dynamical-biosystems analysis and cellular automata. The model discusses some of the attempts made by scientists in this field such as model development in Faba bean crops and the auto regulation in nodulation of plants and some other simulated models (ALAMEDA). Its application in horticulture or life style industry is proposed based on the meristem model applied in the roots of Zea mays. L. A grid based approach that effectively simulates and models competition among chosen species of plants on a simulated environment helps in the study of species survival amidst competition from other species, threat from pests, weeds etc. A model for the ecological risk assessment enables the study of impacts of a newly introduced plant variety on the environment and the implications on plants by the environment that helps in decision making and public acceptance. There are attempts in building the virtual cells, by choosing to apply living cell conditions with some basic cell components working effectively, leading to a thrust in the field of systems biology where this would be an application on all kind of cells in any organisms. A plant competition model in an agronomic perspective uses some of the plant models that help in increase of crop yield in agriculture. Systems biology is an integration of genomics, transcriptomics, proteomics and metabolomics where approaches in identifying the regulatory elements and conserved regulatory motifs have been successfully made leading to a possibility of molecular level study where the input data is scarce and inappropriate beyond which it enables developing hypotheses to decipher poorly understood signaling pathways. A good example of direction and path deduction in plant systems using auxin transport applies best in a well studied business environment enabling a wide range of future perspectives. Some of the novel products or services from plant systems, derived using the systems approaches are briefly discussed. The context of business settings and commercial plausibility is well supported in all attempts of applying the systems biology approach in deriving plant products or services.

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