Literature DB >> 35776138

Genetic basis underlying tiller angle in rice (Oryza sativa L.) by genome-wide association study.

Shaoxing Bai1, Jun Hong1, Su Su1, Zhikang Li2,3, Wensheng Wang2,4, Jianxin Shi1, Wanqi Liang1, Dabing Zhang5,6.   

Abstract

KEY MESSAGE: Novel alleles of two reported tiller angle genes and eleven candidate genes for rice tiller angle were identified by combining GWAS with transcriptomic, qRT-PCR and haplotype analysis. Rice tiller angle is a key agronomic trait determining rice grain yield. Several quantitative trait loci (QTLs) affecting rice tiller angle have been mapped in the past decades. Little is known about the genetic base of tiller angle in rice, because rice tiller angle is a complex polygenic trait. In this study, we performed genome-wide association study (GWAS) on tiller angle in rice using a population of 164 japonica varieties derived from the 3 K Rice Genomes Project (3 K RGP). We detected a total of 18 QTLs using 1135519 single-nucleotide polymorphisms (SNP) based on three GWAS models (GLM, FastLMM and FarmCPU). Among them, two identified QTLs, qTA8.3 and qTA8.4, overlapped with PAY1 and TIG1, respectively, and additional 16 QTLs were identified for the first time. Combined with haplotype and expression analyses, we further revealed that PAY1 harbors one non-synonymous variation at its coding region, likely leading to variable tiller angle in the population, and that nature variations in the promoter of TIG1 significantly affect its expression, closely correlating with tiller angle phenotypes observed. Similarly, using qRT-PCR and haplotype analysis, we identified 1 and 7 candidate genes in qTA6.1 and qTA8.1 that were commonly detected by two GWAS models, respectively. In addition, we identified 3 more candidate genes in the remaining 14 novel QTLs after filtering by transcriptome analysis and qRT-PCR. In summary, this study provides new insights into the genetic architecture of rice tiller angle and candidate genes for rice breeding.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Expression analysis; Genome-wide association study; Japonica rice; PAY1; TIG1; Tiller angle

Mesh:

Year:  2022        PMID: 35776138     DOI: 10.1007/s00299-022-02873-y

Source DB:  PubMed          Journal:  Plant Cell Rep        ISSN: 0721-7714            Impact factor:   4.964


  41 in total

1.  Genomic architecture of heterosis for yield traits in rice.

Authors:  Xuehui Huang; Shihua Yang; Junyi Gong; Qiang Zhao; Qi Feng; Qilin Zhan; Yan Zhao; Wenjun Li; Benyi Cheng; Junhui Xia; Neng Chen; Tao Huang; Lei Zhang; Danlin Fan; Jiaying Chen; Congcong Zhou; Yiqi Lu; Qijun Weng; Bin Han
Journal:  Nature       Date:  2016-09-07       Impact factor: 49.962

2.  LAZY2 controls rice tiller angle through regulating starch biosynthesis in gravity-sensing cells.

Authors:  Linzhou Huang; Wenguang Wang; Ning Zhang; Yueyue Cai; Yan Liang; Xiangbing Meng; Yundong Yuan; Jiayang Li; Dianxing Wu; Yonghong Wang
Journal:  New Phytol       Date:  2021-05-27       Impact factor: 10.151

3.  OsHOX1 and OsHOX28 Redundantly Shape Rice Tiller Angle by Reducing HSFA2D Expression and Auxin Content.

Authors:  Yong Hu; Shuangle Li; Xiaowei Fan; Song Song; Xin Zhou; Xiaoyu Weng; Jinghua Xiao; Xianghua Li; Lizhong Xiong; Aiqing You; Yongzhong Xing
Journal:  Plant Physiol       Date:  2020-09-10       Impact factor: 8.340

4.  Variation in the regulatory region of FZP causes increases in secondary inflorescence branching and grain yield in rice domestication.

Authors:  Yongyu Huang; Shuangshuang Zhao; Yongcai Fu; Hengdi Sun; Xin Ma; Lubin Tan; Fengxia Liu; Xianyou Sun; Hongying Sun; Ping Gu; Daoxin Xie; Chuanqing Sun; Zuofeng Zhu
Journal:  Plant J       Date:  2018-09-17       Impact factor: 6.417

5.  Genome-wide association mapping to candidate polymorphism resolution in the unsequenced barley genome.

Authors:  James Cockram; Jon White; Diana L Zuluaga; David Smith; Jordi Comadran; Malcolm Macaulay; Zewei Luo; Mike J Kearsey; Peter Werner; David Harrap; Chris Tapsell; Hui Liu; Peter E Hedley; Nils Stein; Daniela Schulte; Burkhard Steuernagel; David F Marshall; William T B Thomas; Luke Ramsay; Ian Mackay; David J Balding; Robbie Waugh; Donal M O'Sullivan
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-29       Impact factor: 11.205

6.  SNP-Seek database of SNPs derived from 3000 rice genomes.

Authors:  Nickolai Alexandrov; Shuaishuai Tai; Wensheng Wang; Locedie Mansueto; Kevin Palis; Roven Rommel Fuentes; Victor Jun Ulat; Dmytro Chebotarov; Gengyun Zhang; Zhikang Li; Ramil Mauleon; Ruaraidh Sackville Hamilton; Kenneth L McNally
Journal:  Nucleic Acids Res       Date:  2014-11-27       Impact factor: 16.971

7.  Protein Phosphatase 6 Protects Prophase I-Arrested Oocytes by Safeguarding Genomic Integrity.

Authors:  Meng-Wen Hu; Tie-Gang Meng; Zong-Zhe Jiang; Ming-Zhe Dong; Heide Schatten; Xingzhi Xu; Zhen-Bo Wang; Qing-Yuan Sun
Journal:  PLoS Genet       Date:  2016-12-08       Impact factor: 5.917

8.  Differentiation, evolution and utilization of natural alleles for cold adaptability at the reproductive stage in rice.

Authors:  Haifeng Guo; Yawen Zeng; Jilong Li; Xiaoqian Ma; Zhanying Zhang; Qijin Lou; Jin Li; Yunsong Gu; Hongliang Zhang; Jinjie Li; Zichao Li
Journal:  Plant Biotechnol J       Date:  2020-06-24       Impact factor: 9.803

9.  Creating novel Wx alleles with fine-tuned amylose levels and improved grain quality in rice by promoter editing using CRISPR/Cas9 system.

Authors:  Lichun Huang; Qianfeng Li; Changquan Zhang; Rui Chu; Zhengwen Gu; Hongyan Tan; Dongsheng Zhao; Xiaolei Fan; Qiaoquan Liu
Journal:  Plant Biotechnol J       Date:  2020-05-13       Impact factor: 9.803

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