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ARS Home » Northeast Area » Ithaca, New York » Robert W. Holley Center for Agriculture & Health » Plant, Soil and Nutrition Research » Research » Publications at this Location » Publication #375057

Research Project: Improving Crop Efficiency Using Genomic Diversity and Computational Modeling

Location: Plant, Soil and Nutrition Research

Title: Ten years of the maize Nested Association Mapping population: impact, limitations, and future directions

item GAGE, JOSEPH - Former ARS Employee
item MONIER, BRANDON - Cornell University
item GIRI, ANJU - Cornell University
item Buckler, Edward - Ed

Submitted to: The Plant Cell
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 5/11/2020
Publication Date: 5/12/2020
Citation: Gage, J., Monier, B., Giri, A., Buckler IV, E.S. 2020. Ten years of the maize Nested Association Mapping population: impact, limitations, and future directions. The Plant Cell.

Interpretive Summary: The maize Nested Association Mapping (NAM) panel, designed by the Buckler Lab and collaborators in the early 2000s, has since become a popular and influential tool within the maize genetics community. It has facilitated a number of landmark studies. There has not yet been a comprehensive review of the population’s development and influence. In this paper, we review the history of the NAM, the discoveries that were made using it, and put forth our ideas for how it can continue to be used by the maize community in the future.

Technical Abstract: It has been just over a decade since the release of the maize Nested Association Mapping (NAM) population. The NAM population has been and continues to be an invaluable resource for the maize genetics community, and has yielded insights into the genetic architecture of complex traits. The parental lines have become some of the most well-characterized maize germplasm, and their de novo assemblies were recently made publicly available. As we enter an exciting new stage in maize genomics, this retrospective will summarize the design and intentions behind the NAM population; its application, the discoveries it has enabled, and its influence in other systems; and use the past decade of hindsight to consider whether and how it will remain useful in a new age of genomics.