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ARS Home » Southeast Area » Tifton, Georgia » Crop Protection and Management Research » Research » Publications at this Location » Publication #342392
Title: History and impact of the International Peanut Genome Initiative: the exciting journey toward peanut whole-genome sequencing

Author
item WANG, HUI - University Of Georgia
item GUO, XIAOHONG - University Of Georgia
item PANDEY, MANISH - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item JI, XIANGYUN - University Of Georgia
item VARSHNEY, RAJEEV - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item NWOSU, VICTOR - Mars, Inc
item Guo, Baozhu

Submitted to: Book Chapter
Publication Type: Book / Chapter
Publication Acceptance Date: 10/23/2017
Publication Date: 11/9/2017
Citation: Wang, H., Guo, X., Pandey, M., Ji, X., Varshney, R.K., Nwosu, V., Guo, B. 2017. History and impact of the International Peanut Genome Initiative: the exciting journey toward peanut whole-genome sequencing. In: Varshney, R.K., Pandey, M.K., Puppala, N., editors. The Peanut Genome, Compendium of Plant Genomes. Cham, Switzerland: Springer International Publishing. p. 117-134. https://doi.org/10.1007/978-3-319-63935-2_8.
DOI: https://doi.org/10.1007/978-3-319-63935-2_8

Interpretive Summary: Peanut farmers face an important challenge to increase productivity in order to meet the demand of the increasing world population. The low productivity of peanut is ascribed to several stress factors including biotic and abiotic stresses. Recognizing the challenges and importance of this crop and the benefits of enhancing our understanding of the peanut genome, the international peanut research community established the International Peanut Genomics Initiative (IPGI) in order to pool resources to meet these needs. In this chapter, we focus on the history and accomplishments of the IPGI in three areas: 1) brief background of the IPGI and a chronology of recent efforts in the peanut genome sequencing project; 2) recent developments in molecular markers, particularly molecular markers associated with disease resistance traits and current progress in marker assisted breeding; and 3) recent efforts in developing next-generation populations for high resolution genetic and trait mapping in peanut such as multi-parent advanced generation intercross (MAGIC) and nested association mapping (NAM) populations. Advances in each area over the years have come as the result of the initiative and international cooperative efforts of the scientific research community.

Technical Abstract: Peanut is one of the major oilseed crops in the world which is usually facing many challenges in fighting hunger, and possesses many opportunities in advancing science. The U.S. Peanut Genome Initiative (PGI) was launched in 2004, and brought to the international stage in 2006 to meet these challenges through coordination of international efforts in genome research beginning with molecular marker development and the improvement of genetic map resolution and coverage. The International Peanut Genome Initiative (IPGI) was the first committed step by the global peanut research community toward meeting these needs and challenges. Ultimately, a peanut genome sequencing project was initiated in 2010 by the Peanut Genome Consortium (PGC) and the genome sequences of two diploid peanut progenitors were published in 2016. During this time, IPGI and PGC have been guiding and leading demand driven innovations in peanut genome research, and translating the information into practical research and breeding. In this chapter, we review the background and history of IPGI, the molecular markers associated with disease resistance traits, and current progress in marker assisted breeding. We also review the development of peanut populations for high resolution genetic and trait mapping such as multi-parent advanced generation intercross (MAGIC) and nested association mapping (NAM), highlighting the transition to and preparation for next-generation, multi-parental genetic mapping populations from individual bi-parental populations.