Literature DB >> 17362360

Molecular dissection of developmental behavior of tiller number and plant height and their relationship in rice (Oryza sativa L.).

Guohua Yang1, Yongzhong Xing, Shaoqing Li, Jingzhen Ding, Bing Yue, Kai Deng, Yangsheng Li, Yingguo Zhu.   

Abstract

Plant height and tiller number are two important characters related to yield in rice (Oriza sativa L.). Zhenshan97 x Minghui63 recombinant inbred lines were employed to dissect the genetic basis of development of plant height and tiller number using conditional and unconditional composite interval mapping approaches. The traits were normally distributed with transgressive segregation in both directions. Increasingly negative correlations were observed between tiller number and plant height at five consecutive growth stages. A total of 23 and 24 QTL were identified for tiller number and plant height, respectively. More QTL were detected by conditional mapping than by conventional mapping. Different QTL/genes apparently controlled the traits at different developmental stages. Three genomic regions were identified as putative co-located QTL, which showed opposite additive effects on tiller number and plant height. Furthermore, in the period reaching maximum tiller number, the expression of QTL for tiller number was active, whereas that of QTL for plant height was inactive. These facts provided a possible genetic explanation for the negative correlations between the traits. The research demonstrates conditional mapping to be superior to conventional mapping for this type of research. Implications of the results for hybrid rice improvement are discussed.

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Year:  2006        PMID: 17362360     DOI: 10.1111/j.2006.0018-0661.01959.x

Source DB:  PubMed          Journal:  Hereditas        ISSN: 0018-0661            Impact factor:   3.271


  12 in total

1.  Mapping of QTL for tiller number at different stages of growth in wheat using double haploid and immortalized F2 populations.

Authors:  Zhuokun Li; Tao Peng; Quangang Xie; Shuxiao Han; Jichun Tian
Journal:  J Genet       Date:  2010-12       Impact factor: 1.166

Review 2.  Genomewide association study for seeding emergence and tiller number using SNP markers in an elite winter wheat population.

Authors:  Guang Feng Chen; Ru Gang Wu; Dong Mei Li; Hai Xia Yu; Zhiying Deng; Ji Chun Tian
Journal:  J Genet       Date:  2017-03       Impact factor: 1.166

3.  Dynamic and comparative QTL analysis for plant height in different developmental stages of Brassica napus L.

Authors:  Xiaodong Wang; Hao Wang; Yan Long; Liezhao Liu; Yajun Zhao; Jianhua Tian; Weiguo Zhao; Baojun Li; Li Chen; Hongbo Chao; Maoteng Li
Journal:  Theor Appl Genet       Date:  2015-03-22       Impact factor: 5.699

4.  Characterization of the temporal and spatial expression of wheat (Triticum aestivum L.) plant height at the QTL level and their influence on yield-related traits.

Authors:  Na Zhang; Xiaoli Fan; Fa Cui; Chunhua Zhao; Wei Zhang; Xueqiang Zhao; Lijuan Yang; Ruiqing Pan; Mei Chen; Jie Han; Jun Ji; Dongcheng Liu; Zongwu Zhao; Yiping Tong; Aimin Zhang; Tao Wang; Junming Li
Journal:  Theor Appl Genet       Date:  2017-03-27       Impact factor: 5.699

5.  Genetic dissection of the developmental behaviours of plant height in wheat under diverse water regimes.

Authors:  Xianshan Wu; Zhenghang Wang; Xiaoping Chang; Ruilian Jing
Journal:  J Exp Bot       Date:  2010-05-24       Impact factor: 6.992

6.  Association mapping for important agronomic traits in core collection of rice (Oryza sativa L.) with SSR markers.

Authors:  Peng Zhang; Xiangdong Liu; Hanhua Tong; Yonggen Lu; Jinquan Li
Journal:  PLoS One       Date:  2014-10-31       Impact factor: 3.240

7.  Identification of Quantitative Trait Loci and Water Environmental Interactions for Developmental Behaviors of Leaf Greenness in Wheat.

Authors:  Delong Yang; Mengfei Li; Yuan Liu; Lei Chang; Hongbo Cheng; Jingjing Chen; Shouxi Chai
Journal:  Front Plant Sci       Date:  2016-03-08       Impact factor: 5.753

8.  Fine mapping of a quantitative trait locus for spikelet number per panicle in a new plant type rice and evaluation of a near-isogenic line for grain productivity.

Authors:  Kazuhiro Sasaki; Daisuke Fujita; Yohei Koide; Patrick D Lumanglas; Ritchel B Gannaban; Analiza G Tagle; Mitsuhiro Obara; Yoshimichi Fukuta; Nobuya Kobayashi; Tsutomu Ishimaru
Journal:  J Exp Bot       Date:  2017-05-17       Impact factor: 6.992

9.  Genome-Wide Association Study of the Genetic Basis of Effective Tiller Number in Rice.

Authors:  Mengmeng Ren; Minghan Huang; Haiyang Qiu; Yan Chun; Lu Li; Ashmit Kumar; Jingjing Fang; Jinfeng Zhao; Hang He; Xueyong Li
Journal:  Rice (N Y)       Date:  2021-06-25       Impact factor: 4.783

10.  A high-density genetic map of Schima superba based on its chromosomal characteristics.

Authors:  Rui Zhang; Hanbo Yang; Zhichun Zhou; Bin Shen; Jijun Xiao; Bangshun Wang
Journal:  BMC Plant Biol       Date:  2019-01-25       Impact factor: 4.215

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