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

摘要：

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.

关键词： Microorganism Natural product GIS Molecular systematics Prediction modeling Phylogenetic diversity Phylogenetic tree Genetic Algorithm for Rule-set Production (GARP)

作者: Sunai Yokwai Boonyarat Phadermrod Eakasit Pacharawongsakda Supawadee Ingsriswang

作者单位: Information Systems Laboratory,Bioresource Technology Unit,National Center for Genetic Engineering and Biotechnology,113 Thailand Science Park,Paholyothin Road,Klong 1,Klong Laung,Pathumthani,Thailand 12120

会议类型: 国际会议

会议名称: 第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-06-28（万方平台首次上网日期，不代表论文的发表时间）