P0484
Resequencing of Rice Coreset Deciphers the Milestones for Breeding and Population Structures of Korean Rice

Date: Monday, January 12, 2015
Room:
Tae-Sung Kim , Kongju National University, Yesan, South Korea
Qiang He , Kongju National University, Chungnam, South Korea
ByoungKook Yun , Kongju National University, Gongju-si, South Korea
Min-Young Yoon , Kongju National University, Chungnam, South Korea
Xiao-Qiang Wang , Kongju National University, Chungnam, South Korea
Feng-Peng Li , Kongju National University, Chungnam, South Korea
Aye Aye Khaing , Kongju National University, Chungnam, South Korea
Rayhanul Kabir Khandakar MD , Kongju National University, Chungnam, South Korea
Won-Hee Ra , Kongju National University, Chungnam, South Korea
Win Htet Oo , Kongju National University, Chungnam, South Korea
Cheol Soon Park , Kongju National University, Chungnam, South Korea
Sun-Kyung Min , Kongju National University, Chungnam, South Korea
Wei Tong , Kongju National University, Chungnam, South Korea
Jie Yu , Kongju National University, Chungnam, South Korea
Bu-Woong Choi , Kongju National University, Chungnam, South Korea
Eun-Beom Heo , Kongju National University, Chungnam, South Korea
Yoo-Hyun Cho , Seedpia, Suwon, South Korea
Young-Sang Lee , Soonchunhyang University, Chungnam, South Korea
Kyu-Won Kim , Kongju National University, Chungnam, South Korea
Chang-Yong Lee , Kongju National University, Gongju-si, South Korea
Yong-Jin Park , Kongju National University, Chungnam, South Korea
As one o f the most important crop, rice is not only a staple food of half world’s population but a wonderful model plant, which has been leading the evolution and functional genomics study. The next generation sequencing technology are expediting rice genomic study, providing simple but powerful ways. In this study a core collection of 259 Korean rice accessions were sequenced and analyzed, with which 6.3G uniquely mapped reads were obtained. About 10 million SNPs and ~1.2million InDels were identified with average sequencing depth of 10.2X. These will help us to maximize our germplasm utilization and to assist the deep research in population dynamics and functional studies. Here, we’d like to show the approaches applied to our re-sequencing data mining and on-going activities.
Back to: Genome Mapping, Tagging & Characterization: Rice - Even
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