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Genetic Diversity and Geographic Distribution of North American Setaria viridis Populations

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Genetics and Genomics of Setaria

Part of the book series: Plant Genetics and Genomics: Crops and Models ((PGG,volume 19))

Abstract

Setaria viridis is an emerging model system that is used to study C4 photosynthesis and many other traits relating to agricultural productivity of panicoid grain crops and bioenergy grasses. Originally from China, naturalized populations of S. viridis are widely distributed in North America and contain a high degree of genetic and phenotypic diversity. In this chapter, we estimate the distribution range of S. viridis in North America using a climate-based species distribution model. We then summarize some recent advances in understanding the genetic diversity, population structure, linkage disequilibrium, and biogeography of North American S. viridis populations. We further expound upon the necessity of expanding germplasm collections of S. viridis, our own ongoing collection efforts, and some of the sequence and germplasm resources currently being generated. Finally, we discuss utilizing these tools as a means for genetic dissection of complex traits, potential opportunities for gene discovery, and how our understanding of the natural variation in S. viridis populations will make agriculture a more productive and sustainable industry.

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Acknowledgment

Pu Huang is funded by United States National Science Foundation, Award number IOS-1127017 and United States Department of Energy, Award number DE-SC0008769. Max Feldman is funded by United States Department of Energy’s Biological and Environmental Research Program Grant number ER65472. The authors thank Dr. Thomas Brutnell from Donald Danforth Plant Science Center for helpful comments on the manuscript.

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Huang, P., Feldman, M. (2017). Genetic Diversity and Geographic Distribution of North American Setaria viridis Populations. In: Doust, A., Diao, X. (eds) Genetics and Genomics of Setaria. Plant Genetics and Genomics: Crops and Models, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-319-45105-3_3

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