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Updated: Feb 25, 2026

VIGS-Mediated Forward Genetics Screening for Identification of Genes Involved in Nonhost Resistance
Published on: August 23, 2013
Resistance Genes in Global Crop Breeding Networks
K A Garrett1, K F Andersen1, F Asche1
1First and second authors: Plant Pathology Department, Emerging Pathogens Institute, and Institute for Sustainable Food Systems, University of Florida, Gainesville 32611; third author: School of Forest Resources and Conservation and Institute for Sustainable Food Systems, University of Florida, Gainesville; fourth author: United States Department of Agriculture-Agricultural Research Service Hard Winter Wheat Genetics Research Unit, 4008 Throckmorton Hall, Kansas State University, Manhattan 66506; fifth author: International Potato Center, Lima, Peru; sixth author: International Institute of Tropical Agriculture, Ibadan, Nigeria; and seventh author: International Rice Research Institute, Manila, Philippines.
Abstract:
Resistance genes are a major tool for managing crop diseases. The networks of crop breeders who exchange resistance genes and deploy them in varieties help to determine the global landscape of resistance and epidemics, an important system for maintaining food security. These networks function as a complex adaptive system, with associated strengths and vulnerabilities, and implications for policies to support resistance gene deployment strategies. Extensions of epidemic network analysis can be used to evaluate the multilayer agricultural networks that support and influence crop breeding networks. Here, we evaluate the general structure of crop breeding networks for cassava, potato, rice, and wheat. All four are clustered due to phytosanitary and intellectual property regulations, and linked through CGIAR hubs. Cassava networks primarily include public breeding groups, whereas others are more mixed. These systems must adapt to global change in climate and land use, the emergence of new diseases, and disruptive breeding technologies. Research priorities to support policy include how best to maintain both diversity and redundancy in the roles played by individual crop breeding groups (public versus private and global versus local), and how best to manage connectivity to optimize resistance gene deployment while avoiding risks to the useful life of resistance genes. [Formula: see text] Copyright © 2017 The Author(s). This is an open access article distributed under the CC BY 4.0 International license .
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