Literature DB >> 33045086

Investigation of the genetic diversity of a core collection of japanese rice landraces (JRC) using whole-genome sequencing.

N Tanaka1, M Shenton1, Y Kawahara1,2, M Kumagai2, H Sakai2, H Kanamori1, J Yonemaru1, S Fukuoka1, K Sugimoto1, M Ishimoto1, J Wu1, K Ebana3.   

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 re-sequencing of these 50 accessions, and obtained a total of 2,145,095 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 haplotypes of flowering genes and detected new mutations in these genes. Finally, we performed GWAS for agronomical traits using the JRC and another core collection, the world rice core collection (WRC), comprising of 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 in particular traits.
© The Author(s) 2020. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists.

Year:  2020        PMID: 33045086     DOI: 10.1093/pcp/pcaa125

Source DB:  PubMed          Journal:  Plant Cell Physiol        ISSN: 0032-0781            Impact factor:   4.927


  41 in total

1.  Hd1, a major photoperiod sensitivity quantitative trait locus in rice, is closely related to the Arabidopsis flowering time gene CONSTANS.

Authors:  M Yano; Y Katayose; M Ashikari; U Yamanouchi; L Monna; T Fuse; T Baba; K Yamamoto; Y Umehara; Y Nagamura; T Sasaki
Journal:  Plant Cell       Date:  2000-12       Impact factor: 11.277

2.  NAL1 allele from a rice landrace greatly increases yield in modern indica cultivars.

Authors:  Daisuke Fujita; Kurniawan Rudi Trijatmiko; Analiza Grubanzo Tagle; Maria Veronica Sapasap; Yohei Koide; Kazuhiro Sasaki; Nikolaos Tsakirpaloglou; Ritchel Bueno Gannaban; Takeshi Nishimura; Seiji Yanagihara; Yoshimichi Fukuta; Tomokazu Koshiba; Inez Hortense Slamet-Loedin; Tsutomu Ishimaru; Nobuya Kobayashi
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-02       Impact factor: 11.205

3.  Origin, dispersal, cultivation and variation of rice.

Authors:  G S Khush
Journal:  Plant Mol Biol       Date:  1997-09       Impact factor: 4.076

4.  Gene limiting cadmium accumulation in rice.

Authors:  Daisei Ueno; Naoki Yamaji; Izumi Kono; Chao Feng Huang; Tsuyu Ando; Masahiro Yano; Jian Feng Ma
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-07       Impact factor: 11.205

5.  Endosperm enzyme activity is responsible for texture and eating quality of cooked rice grains in Japanese cultivars.

Authors:  Ken Iijima; Keitaro Suzuki; Kiyosumi Hori; Kaworu Ebana; Keiichi Kimura; Yoshimasa Tsujii; Katsumi Takano
Journal:  Biosci Biotechnol Biochem       Date:  2018-11-21       Impact factor: 2.043

6.  A major quantitative trait locus controlling cadmium translocation in rice (Oryza sativa).

Authors:  D Ueno; I Kono; K Yokosho; T Ando; M Yano; J F Ma
Journal:  New Phytol       Date:  2009-02-27       Impact factor: 10.151

7.  TASUKE+: a web-based platform for exploring genome-wide association studies results and large-scale resequencing data.

Authors:  Masahiko Kumagai; Daiki Nishikawa; Yoshihiro Kawahara; Hironobu Wakimoto; Ryutaro Itoh; Norio Tabei; Tsuyoshi Tanaka; Takeshi Itoh
Journal:  DNA Res       Date:  2019-12-01       Impact factor: 4.458

8.  GWAS with principal component analysis identifies a gene comprehensively controlling rice architecture.

Authors:  Kenji Yano; Yoichi Morinaka; Fanmiao Wang; Peng Huang; Sayaka Takehara; Takaaki Hirai; Aya Ito; Eriko Koketsu; Mayuko Kawamura; Kunihiko Kotake; Shinya Yoshida; Masaki Endo; Gen Tamiya; Hidemi Kitano; Miyako Ueguchi-Tanaka; Ko Hirano; Makoto Matsuoka
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-30       Impact factor: 11.205

9.  A mixed-model approach for genome-wide association studies of correlated traits in structured populations.

Authors:  Arthur Korte; Bjarni J Vilhjálmsson; Vincent Segura; Alexander Platt; Quan Long; Magnus Nordborg
Journal:  Nat Genet       Date:  2012-08-19       Impact factor: 38.330

10.  Hd16, a gene for casein kinase I, is involved in the control of rice flowering time by modulating the day-length response.

Authors:  Kiyosumi Hori; Eri Ogiso-Tanaka; Kazuki Matsubara; Utako Yamanouchi; Kaworu Ebana; Masahiro Yano
Journal:  Plant J       Date:  2013-07-25       Impact factor: 6.417

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