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A database to unearth plants' genetic secrets

Rigorous analysis of the structures of thousands of plant proteins by Tetsuya Sakurai and colleagues from the RIKEN Center for Sustainable Resource Science has led to the construction of a database that will help scientists identify the functions of more plant genes*.


Researchers develop faster, more efficient test for SCN

The soybean cyst nematode (SCN) is the most pervasive plant pest in agriculture. University of Illinois researchers have developed a system to test for the nematode that is approximately 20 times faster than current technology and provides more precise data than existing solutions.


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