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Related Experiment Videos

Information management for entomology screening.

Jane Curtis1, Joseph Huesing, Robert Simpson

  • 1Monsanto Company, Chesterfield, MO 63017, USA. jane.m.curtis@monsanto.com

Journal of Biomolecular Screening
|March 10, 2004
PubMed
Summary
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Genetically modified (GM) crop discovery now mirrors pharmaceutical clinical trials, utilizing live insects and complex proteins. A customized database system optimizes entomology screening for data integrity and tractability.

Area of Science:

  • Agricultural Science
  • Biotechnology
  • Entomology

Background:

  • Genetically modified (GM) crops have transformed agriculture, now covering 130 million acres.
  • Traditional insecticide discovery processes in agriculture have been revolutionized by GM technologies.

Purpose of the Study:

  • To describe a novel discovery workflow for GM crops.
  • To detail the customization of a database software package for entomology screening.

Main Methods:

  • GM crop discovery screens involve live insects challenged with complex protein soups.
  • Assay models support protein engineering, proteomics, and genomics efforts.
  • A commercially available database software was customized for optimum entomology screening.

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Main Results:

  • The new GM crop discovery process is analogous to large-scale clinical trials.
  • Data integrity and tractability are crucial from discovery to varietal introduction.
  • The customized database enhances efficiency in managing entomology screening data.

Conclusions:

  • The described workflow and customized database optimize the GM crop discovery process.
  • This approach ensures robust data management for commercialized GM plant varieties.
  • The methodology facilitates efficient and reliable entomology screening in GM crop development.