Using molecular systematics and GIS-based modeling approaches for selection of potential sites to explore the desirable microbial products

Sunai Yokwai; Boonyarat Phadermrod; Eakasit Pacharawongsakda; Supawadee Ingsriswang

doi:10.1117/12.812850

5 November 2008 Using molecular systematics and GIS-based modeling approaches for selection of potential sites to explore the desirable microbial products

Sunai Yokwai, Boonyarat Phadermrod, Eakasit Pacharawongsakda, Supawadee Ingsriswang

Author Affiliations +

Proceedings Volume 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics; 71442T (2008) https://doi.org/10.1117/12.812850
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

Microorganisms and their chemical products are widely used as sources to isolate many drugs. To search for novel and potential bioactive compounds from microorganisms, one approach is to acquire microbial samples from various environments. However, with random collection and selection of the microbes, it would be hard to find the desired bioactive compounds. To support the selection of the ecological habitat for collecting microorganisms in an efficient way, we proposed a computational framework using molecular systematics and GIS-based modeling approaches. The first step in this framework, molecular sequences and bioactivity profiles of microbes are used to build the phylogenetic trees, whose leaf nodes are also associated with site location. Next, the phylogenetic diversity (PD) of microbes/bioactivities among different geographic sites is estimated from the trees for the selection of interesting sites. Using microbe occurrence and geographic data from the sites of interest, GARP algorithm is applied for the prediction of species distribution in other areas. In addition, the PD values from each site are used in training data for prediction of phylogenetic diversity and bioactivity diversity in unexplored areas.

Citation Download Citation

Sunai Yokwai, Boonyarat Phadermrod, Eakasit Pacharawongsakda, and Supawadee Ingsriswang "Using molecular systematics and GIS-based modeling approaches for selection of potential sites to explore the desirable microbial products", Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71442T (5 November 2008); https://doi.org/10.1117/12.812850

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KEYWORDS

Microorganisms

Geographic information systems

Data modeling

Animal model studies

Chemical analysis

Lung cancer

Performance modeling

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