Kim Tae-Sung, He Qiang, Kim Kyu-Won, Yoon Min-Young, Ra Won-Hee, Li Feng Peng, Tong Wei, Yu Jie, Oo Win Htet, Choi Buung, Heo Eun-Beom, Yun Byoung-Kook, Kwon Soon-Jae, Kwon Soon-Wook, Cho Yoo-Hyun, Lee Chang-Yong, Park Beom-Seok, Park Yong-Jin
Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan, 340-702, Republic of Korea.
Legume Bio-Resource Center of Green Manure (LBRCGM), Kongju National University, Yesan, 340-702, Republic of Korea.
BMC Genomics. 2016 May 26;17:408. doi: 10.1186/s12864-016-2734-y.
Rice germplasm collections continue to grow in number and size around the world. Since maintaining and screening such massive resources remains challenging, it is important to establish practical methods to manage them. A core collection, by definition, refers to a subset of the entire population that preserves the majority of genetic diversity, enhancing the efficiency of germplasm utilization.
Here, we report whole-genome resequencing of the 137 rice mini core collection or Korean rice core set (KRICE_CORE) that represents 25,604 rice germplasms deposited in the Korean genebank of the Rural Development Administration (RDA). We implemented the Illumina HiSeq 2000 and 2500 platform to produce short reads and then assembled those with 9.8 depths using Nipponbare as a reference. Comparisons of the sequences with the reference genome yielded more than 15 million (M) single nucleotide polymorphisms (SNPs) and 1.3 M INDELs. Phylogenetic and population analyses using 2,046,529 high-quality SNPs successfully assigned rice accessions to the relevant rice subgroups, suggesting that these SNPs capture evolutionary signatures that have accumulated in rice subpopulations. Furthermore, genome-wide association studies (GWAS) for four exemplary agronomic traits in the KRIC_CORE manifest the utility of KRICE_CORE; that is, identifying previously defined genes or novel genetic factors that potentially regulate important phenotypes.
This study provides strong evidence that the size of KRICE_CORE is small but contains high genetic and functional diversity across the genome. Thus, our resequencing results will be useful for future breeding, as well as functional and evolutionary studies, in the post-genomic era.
全球水稻种质资源库的数量和规模持续增长。由于维护和筛选如此庞大的资源仍具有挑战性,因此建立切实可行的管理方法至关重要。核心种质库从定义上讲,是指整个群体的一个子集,它保留了大部分遗传多样性,提高了种质利用效率。
在此,我们报告了对137份水稻微型核心种质库或韩国水稻核心种质集(KRICE_CORE)进行的全基因组重测序,该种质集代表了韩国农村振兴厅(RDA)基因库中保存的25,604份水稻种质。我们使用Illumina HiSeq 2000和2500平台生成短读长序列,然后以日本晴为参考,以9.8倍深度进行组装。将这些序列与参考基因组进行比较,得到了超过1500万个单核苷酸多态性(SNP)和130万个插入缺失(INDEL)。使用2,046,529个高质量SNP进行系统发育和群体分析,成功地将水稻种质归入相关的水稻亚组,这表明这些SNP捕获了在水稻亚群体中积累的进化特征。此外,对KRIC_CORE中四个典型农艺性状进行的全基因组关联研究(GWAS)证明了KRICE_CORE的实用性;也就是说,鉴定出先前定义的基因或可能调控重要表型的新遗传因子。
本研究提供了有力证据,表明KRICE_CORE规模虽小,但在全基因组中包含高度的遗传和功能多样性。因此,我们的重测序结果将有助于后基因组时代的未来育种以及功能和进化研究。