Literature DB >> 34677716

QTL mapping and candidate gene mining of flag leaf size traits in Japonica rice based on linkage mapping and genome-wide association study.

Jiangxu Wang1, Tao Wang1, Qi Wang1, Xiaodong Tang1, Yang Ren1, Haiyan Zheng1, Kai Liu1, Luomiao Yang2, Hui Jiang1, Yidan Li1, Qi Liu1, Detang Zou2, Hongliang Zheng3,4.   

Abstract

BACKGROUND: As one of the most important factors of the japonica rice plant, leaf shape affects the photosynthesis and carbohydrate accumulation directly. Mining and using new leaf shape related genes/QTLs can further enrich the theory of molecular breeding and accelerate the breeding process of japonica rice.
METHODS: In the present study, 2 RILs and a natural population with 295 japonica rice varieties were used to map QTLs for flag leaf length (FL), flag leaf width (FW) and flag leaf area (FLA) by linkage analysis and genome-wide association study (GWAS) throughout 2 years.
RESULTS: A total of 64 QTLs were detected by 2 ways, and pleiotropic QTLs qFL2 (Chr2_33,332,579) and qFL10 (Chr10_10,107,835; Chr10_10,230,100) consisted of overlapping QTLs mapped by linkage analysis and GWAS throughout the 2 years were identified.
CONCLUSIONS: The candidate genes LOC_Os02g54254, LOC_Os02g54550, LOC_Os10g20160, LOC_Os10g20240, LOC_Os10g20260 were obtained, filtered by linkage disequilibrium (LD), and haplotype analysis. LOC_Os10g20160 (SD-RLK-45) showed outstanding characteristics in quantitative real-time PCR (qRT-PCR) analysis in leaf development period, belongs to S-domain receptor-like protein kinases gene and probably to be a main gene regulating flag leaf width of japonica rice. The results of this study provide valuable resources for mining the main genes/QTLs of japonica rice leaf development and molecular breeding of japonica rice ideal leaf shape.
© 2021. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Flag leaf; Genome-wide association study; Japonica rice; Linkage mapping; QTLs

Mesh:

Substances:

Year:  2021        PMID: 34677716     DOI: 10.1007/s11033-021-06842-8

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  24 in total

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Authors:  Xin-Guang Zhu; Qingfeng Song; Donald R Ort
Journal:  Curr Opin Plant Biol       Date:  2012-02-09       Impact factor: 7.834

2.  Quantitative trait loci mapping for leaf length and leaf width in rice cv. IR64 derived lines.

Authors:  Muhammad Farooq; Analiza G Tagle; Rizza E Santos; Leodegario A Ebron; Daisuke Fujita; Nobuya Kobayashi
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3.  Coordination of Leaf Photosynthesis, Transpiration, and Structural Traits in Rice and Wild Relatives (Genus Oryza).

Authors:  Rita Giuliani; Nuria Koteyeva; Elena Voznesenskaya; Marc A Evans; Asaph B Cousins; Gerald E Edwards
Journal:  Plant Physiol       Date:  2013-07       Impact factor: 8.340

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6.  LSCHL4 from Japonica Cultivar, which is allelic to NAL1, increases yield of indica super rice 93-11.

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Journal:  Mol Plant       Date:  2014-05-02       Impact factor: 13.164

7.  Biochemical and molecular characteristics of leaf photosynthesis and relative seed yield of two contrasting rice cultivars in response to elevated [CO₂].

Authors:  Chunwu Zhu; Jianguo Zhu; Jing Cao; Qian Jiang; Gang Liu; Lewis H Ziska
Journal:  J Exp Bot       Date:  2014-09-01       Impact factor: 6.992

8.  Genome-wide analysis and stress-responsive expression of CCCH zinc finger family genes in Brassica rapa.

Authors:  Boyi Pi; Xinghui He; Ying Ruan; Jyan-Chyun Jang; Yong Huang
Journal:  BMC Plant Biol       Date:  2018-12-27       Impact factor: 4.215

9.  Genome-wide association mapping of leaf mass traits in a Vietnamese rice landrace panel.

Authors:  Giang Thi Hoang; Pascal Gantet; Kien Huu Nguyen; Nhung Thi Phuong Phung; Loan Thi Ha; Tuan Thanh Nguyen; Michel Lebrun; Brigitte Courtois; Xuan Hoi Pham
Journal:  PLoS One       Date:  2019-07-08       Impact factor: 3.240

10.  A 55 K SNP array-based genetic map and its utilization in QTL mapping for productive tiller number in common wheat.

Authors:  Jiajun Liu; Wei Luo; Nana Qin; Puyang Ding; Han Zhang; Congcong Yang; Yang Mu; Huaping Tang; Yaxi Liu; Wei Li; Qiantao Jiang; Guoyue Chen; Yuming Wei; Youliang Zheng; Chunji Liu; Xiujin Lan; Jian Ma
Journal:  Theor Appl Genet       Date:  2018-08-14       Impact factor: 5.699

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