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United States Department of Agriculture

Agricultural Research Service

Related Topics

Research Project: EFFICIENT ALLELE MINING IN A MODEL SEQUENCED CROP VIA THE COMPRESSED SEQUENCING APPROACH

Location: Plant Stress and Germplasm Development Research

Project Number: 6208-21000-017-11
Project Type: Reimbursable

Start Date: Jul 01, 2011
End Date: Dec 31, 2012

Objective:
1. To validate if compressed sensing (CS) strategy can be used to analyze next generation sequencing data to identify known mutations in the sorghum library. 2. To explore CS strategy for allele mining in a few genes involved in drought tolerance.

Approach:
The Co-PI (Xin) has created a pedigreed collection of 3,400 sorhgum mutant lines displaying many stress response and developmental phonotypes. The PI, Noami Shental, from the Computer Science Department, the Open University of Israel developed the compressed mutations. Pools of genomic DNA from the sorghum mutation library will be sequenced and analyzed with compressed sensing strategy to identify known mutations and new mutations in genes involved in drought tolerance.

Last Modified: 10/1/2014
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