Literature DB >> 33256095

Sequence Variants Linked to Key Traits in Interspecific Crosses between African and Asian Rice.

Hayba Badro1,2, Marie-Noelle Ndjiondjop3, Agnelo Furtado1, Robert Henry1.   

Abstract

Asian and African rice gene pools vary in many traits that are important in rice breeding. The genetic basis of these differences was evaluated by analysis of important agronomic traits in crosses between African and Asian rice. Trait-associated variants (TAVs) influencing three quantitative agronomic traits, heading date (Hd), tiller number at maturity (T), and 1000 grain weight (TGW), were identified by association analysis of crosses between Asian and African rice. Populations were developed by crossing WAB56-104 (Oryza sativa) and CG14 (Oryza glaberrima). DNA from plants with extremely high or low values for these phenotypes was bulked and sequenced. The reference genome of O. sativa cv Nipponbare was used in general association analysis and candidate gene analysis. A total of 5152 non-synonymous single nucleotide polymorphisms (SNPs) across 3564 genes distinguished the low and the high bulks for Hd, T, and TGW traits; 611 non-synonymous SNPs across 447 genes were found in KEGG pathways. Six non-synonymous SNPs were found in the sequences of LOC107275952, LOC4334529, LOC4326177, LOC107275432, LOC4335790, and LOC107275425 genes associated with Hd, T, and TGW traits. These genes were involved in: abscisic-acid biosynthesis, carotenoid biosynthesis, starch and sucrose metabolism, and cytokinin biosynthesis. Analysis of 24 candidate genes associated with Hd, T, and TGW traits showed seven non-synonymous variations in the sequence of Hd3a and Ehd2 from the Hd genes (not in a KEGG pathway), D10 and D53 from the T genes (strigolactones biosynthetic pathway), and Gn1a and GIF1 from the TGW genes (cytokinin biosynthetic and starch and sucrose metabolism pathways). This study identified significant differences in allele frequencies supported by high sequence depth in analysis of bulks displaying high and low values for these key traits. These trait-associated variants are likely to be useful in rice improvement.

Entities:  

Keywords:  1000 grain weight; Oryza glaberrima; Oryza sativa; heading date; tiller number; trait-associated variants (TAVs)

Year:  2020        PMID: 33256095      PMCID: PMC7761468          DOI: 10.3390/plants9121653

Source DB:  PubMed          Journal:  Plants (Basel)        ISSN: 2223-7747


  46 in total

Review 1.  African rice (Oryza glaberrima): history and future potential.

Authors:  Olga F Linares
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-02       Impact factor: 11.205

2.  Cytokinin oxidase regulates rice grain production.

Authors:  Motoyuki Ashikari; Hitoshi Sakakibara; Shaoyang Lin; Toshio Yamamoto; Tomonori Takashi; Asuka Nishimura; Enrique R Angeles; Qian Qian; Hidemi Kitano; Makoto Matsuoka
Journal:  Science       Date:  2005-06-23       Impact factor: 47.728

Review 3.  Snf1-related protein kinases (SnRKs) act within an intricate network that links metabolic and stress signalling in plants.

Authors:  Nigel G Halford; Sandra J Hey
Journal:  Biochem J       Date:  2009-04-15       Impact factor: 3.857

4.  Post-anthesis development of inferior and superior spikelets in rice in relation to abscisic acid and ethylene.

Authors:  Jianchang Yang; Jianhua Zhang; Zhiqing Wang; Kai Liu; Peng Wang
Journal:  J Exp Bot       Date:  2005-12-05       Impact factor: 6.992

5.  Regulation of drought tolerance by gene manipulation of 9-cis-epoxycarotenoid dioxygenase, a key enzyme in abscisic acid biosynthesis in Arabidopsis.

Authors:  S Iuchi; M Kobayashi; T Taji; M Naramoto; M Seki; T Kato; S Tabata; Y Kakubari; K Yamaguchi-Shinozaki; K Shinozaki
Journal:  Plant J       Date:  2001-08       Impact factor: 6.417

6.  Ectopic expression of KNOTTED1-like homeobox protein induces expression of cytokinin biosynthesis genes in rice.

Authors:  Tomoaki Sakamoto; Hitoshi Sakakibara; Mikiko Kojima; Yuko Yamamoto; Hiroshi Nagasaki; Yoshiaki Inukai; Yutaka Sato; Makoto Matsuoka
Journal:  Plant Physiol       Date:  2006-07-21       Impact factor: 8.340

7.  Rice shoot branching requires an ATP-binding cassette subfamily G protein.

Authors:  Naoko Yasuno; Itsuro Takamure; Shin-Ichiro Kidou; Yoshihiko Tokuji; An-Na Ureshi; Atsushi Funabiki; Kazunori Ashikaga; Utako Yamanouchi; Masahiro Yano; Kiyoaki Kato
Journal:  New Phytol       Date:  2008-12-23       Impact factor: 10.151

8.  A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species.

Authors:  Robert J Elshire; Jeffrey C Glaubitz; Qi Sun; Jesse A Poland; Ken Kawamoto; Edward S Buckler; Sharon E Mitchell
Journal:  PLoS One       Date:  2011-05-04       Impact factor: 3.240

9.  Fine Mapping and Candidate Gene Analysis of the Tiller Suppression Gene ts1 in Rice.

Authors:  Lei Liu; Fen Meng; Yonggang He; Menghao Zhu; Yanhao Shen; Zhihong Zhang
Journal:  PLoS One       Date:  2017-01-20       Impact factor: 3.240

10.  The effect of the crosstalk between photoperiod and temperature on the heading-date in rice.

Authors:  Weijiang Luan; Huizhe Chen; Yaping Fu; Huamin Si; Wen Peng; Susheng Song; Wenzhen Liu; Guocheng Hu; Zongxiu Sun; Daoxin Xie; Chuanqing Sun
Journal:  PLoS One       Date:  2009-06-12       Impact factor: 3.240

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