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ICBG Central Asia Project: Data Collection

 
Plant Associate Program Fungal Associate Program Prokaryotic Microorganisms Associate Program Analytical Chemistry Associate Program Uzbekistan Associate Program in Biodiversity Kyrgyzstan Associate Program in Biodiversity Biodiversity, Bioinformatics and Training Associate Program    

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Participating scientists in Uzbekistan and Kyrgyzstan will be responsible for all field collections and biodiversity inventory. During field collections, the KAP and UAP will obtain digital images, GPS data and environmental and climatic information on the collection sites to aid in building comprehensive database of plant, fungal and microbial communities in both countries. Great care will be taken in proper taxonomic identification and vouchering of the collected organisms. KAP and UAP will be also responsible for the procurement of all plant extracts, non-elicited fungal extracts and soil samples for the PMAP. The scientists at Rutgers University will be responsible for the production of the elicited fungal extracts and all prokaryotic extracts produced from soil samples shipped from the partnering countries. Most of the plant and fungal samples will be generated during the collection time from mid-spring to mid-fall. Prokaryotic samples will be generated all year around in the high throughput facility of Rutgers University.

SAMPLING INSTRUCTIONS AND FORMS

Field Collection Manual: Guidelines for Sample Preparation and Data Storage (PDF) WILL BE POSTED SOON

Kyrgyzstan Plant and Endophyte Collection Form (PDF)

Kyrgyzstan Microorganism Collection Form (PDF)

Uzbekistan Plant and Endophyte Collection Form (PDF)

Uzbekistan Microorganism Collection Form (PDF)

To download a free Adobe reader: http://www.adobe.com/products/acrobat/readstep2.html

NAPIS ® (NAtural Products Information System) is being used to develope a bioinformatics database. NAPIS is a transaction database that tracks natural product samples through the process of bioassay-directed isolation with links to bioassay results. In addition to data mining, researchers can query the geographic information system (GIS) based map and drill down on chemical structures, or vice versa, query for organism / structure / bioactivity relationships and show the results on a map.
NAPIS®: White Point Systems