Literature DB >> 26123916

Genetic mapping of a QTL controlling source-sink size and heading date in rice.

Xiaodeng Zhan1, Bin Sun1, Zechuan Lin1, Zhiqiang Gao1, Ping Yu1, Qunen Liu1, Xihong Shen1, Yingxin Zhang1, Daibo Chen1, Shihua Cheng2, Liyong Cao3.   

Abstract

Source size, sink size and heading date (HD) are three important classes of traits that determine the productivity of rice. In this study, a set of recombinant inbred lines (RILs) derived from the cross between an elite indica line Big Grain1 (BG1) and a japonica line Xiaolijing (XLJ) were used to map quantitative trait loci (QTLs) for source-sink size and heading date. Totally, thirty-one QTLs for source size, twenty-two for sink size, four for heading date and seven QTL clusters which included QTLs for multiple traits were identified in three environmental trials. Thirty QTLs could be consistently detected in at least two trials and generally located in the clusters. Using a set of BC4F2 lines, the QTL cluster in C5-1-C5-2 on chromosome 5 was validated to be a major QTL pleiotropically affecting heading date, source size (flag leaf area) and panicle type (neck length of panicle, primary branching number and the ratio of secondary branching number to primary branching number), and was narrowed down to a 309.52Kb region. QTL clusters described above have a large effect on source-sink size and/or heading date, therefore they should be good resources to improve the adaptability and high yield potential of cultivars genetically.
Copyright © 2015. Published by Elsevier B.V.

Entities:  

Keywords:  Heading date; Oryza sativa L.; Quantitative traits locus (QTL); Source–sink size

Mesh:

Substances:

Year:  2015        PMID: 26123916     DOI: 10.1016/j.gene.2015.06.065

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  4 in total

1.  Alternative functions of Hd1 in repressing or promoting heading are determined by Ghd7 status under long-day conditions.

Authors:  Zhanyi Zhang; Wei Hu; Guojing Shen; Haiyang Liu; Yong Hu; Xiangchun Zhou; Touming Liu; Yongzhong Xing
Journal:  Sci Rep       Date:  2017-07-14       Impact factor: 4.379

2.  Genome wide screening and comparative genome analysis for Meta-QTLs, ortho-MQTLs and candidate genes controlling yield and yield-related traits in rice.

Authors:  Bahman Khahani; Elahe Tavakol; Vahid Shariati; Fabio Fornara
Journal:  BMC Genomics       Date:  2020-04-10       Impact factor: 3.969

3.  A major pleiotropic QTL identified for yield components and nitrogen content in rice (Oryza sativa L.) under differential nitrogen field conditions.

Authors:  T Vishnukiran; C N Neeraja; V Jaldhani; P Vijayalakshmi; P Raghuveer Rao; D Subrahmanyam; S R Voleti
Journal:  PLoS One       Date:  2020-10-20       Impact factor: 3.240

4.  Fine mapping and candidate gene analysis of qHD5, a novel major QTL with pleiotropism for yield-related traits in rice (Oryza sativa L.).

Authors:  Bin Sun; Xiao-Deng Zhan; Ze-Chuan Lin; Wei-Xun Wu; Ping Yu; Ying-Xin Zhang; Lian-Ping Sun; Li-Yong Cao; Shi-Hua Cheng
Journal:  Theor Appl Genet       Date:  2016-09-27       Impact factor: 5.699

  4 in total

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