Investigation of the Genetic Diversity of a Rice Core Collection of Japanese Landraces using Whole-Genome Sequencing.

Affiliation

Tanaka N(1), Shenton M(1), Kawahara Y(1)(2), Kumagai M(2), Sakai H(2), Kanamori H(1), Yonemaru JI(1), Fukuoka S(1), Sugimoto K(1), Ishimoto M(1), Wu J(1), Ebana K(3).
Author information:
(1)Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, 305-8518 Japan.
(2)Advanced Analysis Center, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, 305-8518 Japan.
(3)Genetic Resources Center, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, 305-8518 Japan.

Abstract

The Rice Core Collection of Japanese Landraces (JRC) consisting of 50 accessions was developed by the genebank at the National Agriculture and Food Research Organization (NARO) in 2008. As a Japanese landrace core collection, the JRC has been used for many research projects, including screening for different phenotypes and allele mining for target genes. To understand the genetic diversity of Japanese Landraces, we performed whole-genome resequencing of these 50 accessions and obtained a total of 2,145,095 single nucleotide polymorphism (SNPs) and 317,832 insertion-deletions (indels) by mapping against the Oryza sativa ssp. japonica Nipponbare genome. A JRC phylogenetic tree based on 1,394 representative SNPs showed that JRC accessions were divided into two major groups and one small group. We used the multiple genome browser, TASUKE+, to examine the haplotypes of flowering genes and detected new mutations in these genes. Finally, we performed genome-wide association studies (GWAS) for agronomical traits using the JRC and another core collection, the World Rice Core Collection (WRC), comprising 69 accessions also provided by the NARO genebank. In leaf blade width, a strong peak close to NAL1, a key gene for the regulation of leaf width, and, in heading date, a peak near HESO1 involved in flowering regulation were observed in GWAS using the JRC. They were also detected in GWAS using the combined JRC + WRC. Thus, JRC and JRC + WRC are suitable populations for GWAS of particular traits.