Literature DB >> 26804619

Identification and validation of novel low-tiller number QTL in common wheat.

Zhiqiang Wang1, Yaxi Liu2, Haoran Shi3, Hongjun Mo4, Fangkun Wu5, Yu Lin6, Shang Gao7, Jirui Wang8, Yuming Wei9, Chunji Liu10, Youliang Zheng11.   

Abstract

KEY MESSAGE: SNP-based QTL mapping provided useful information for novel loci that can be used in breeding programs to control tillering and improve yield in wheat via marker-assisted selection. Tillering is one of the most important agronomic traits affecting biomass and grain yield potential in wheat. Wheat lines with very limited tillering capacity are more productive than free-tillering lines under severe drought conditions. In this study, three recombinant inbred line (RIL) populations were generated and used, having H461, a low-tillering genotype, as a common parent. A linkage map containing 7808 single nucleotide polymorphism loci was constructed on the basis of H461/CN16 RIL population. Three QTL controlling low tillering were identified on Chromosome (Chr.) 2D (Qltn.sicau-2D), Chr. 2B (Qltn.sicau-2B), and Chr. 5A (Qltn.sicau-5A). Qltn.sicau-2D, Qltn.sicau-2B, and Qltn.sicau-5A explained up to 19.1, 14.6, and 9.6 % of the phenotypic variance, respectively. Comparing with previous findings, Qltn.sicau-2D and Qltn.sicau-2B should thus be novel tillering QTL. The effects of these QTL were further validated in two additional RIL populations. Significant effects of Qltn.sicau-2D were detected across all growth stages in different genetic backgrounds, making it an ideal target for breeding programs as well as for further characterization of the gene(s) underlying this locus.

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Year:  2016        PMID: 26804619     DOI: 10.1007/s00122-015-2652-4

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  23 in total

1.  Comparative mapping of wheat chromosome 1AS which contains the tiller inhibition gene (tin) with rice chromosome 5S.

Authors:  W Spielmeyer; R A Richards
Journal:  Theor Appl Genet       Date:  2004-09-22       Impact factor: 5.699

2.  Reconstruction of the synthetic W7984 x Opata M85 wheat reference population.

Authors:  Mark E Sorrells; J Perry Gustafson; Daryl Somers; Shiaoman Chao; David Benscher; Gina Guedira-Brown; Eric Huttner; Andrezj Kilian; Patrick E McGuire; Kathleen Ross; James Tanaka; Peter Wenzl; Keith Williams; Calvin O Qualset
Journal:  Genome       Date:  2011-10-14       Impact factor: 2.166

3.  Identification and mapping of a tiller inhibition gene (tin3) in wheat.

Authors:  Vasu Kuraparthy; Shilpa Sood; H S Dhaliwal; Parveen Chhuneja; Bikram S Gill
Journal:  Theor Appl Genet       Date:  2006-11-08       Impact factor: 5.699

4.  Rapid isolation of high molecular weight plant DNA.

Authors:  M G Murray; W F Thompson
Journal:  Nucleic Acids Res       Date:  1980-10-10       Impact factor: 16.971

5.  A genetic linkage map of the Durum x Triticum dicoccoides backcross population based on SSRs and AFLP markers, and QTL analysis for milling traits.

Authors:  I Elouafi; M M Nachit
Journal:  Theor Appl Genet       Date:  2003-12-16       Impact factor: 5.699

6.  An integrative genetic linkage map of winter wheat (Triticum aestivum L.).

Authors:  S Paillard; T Schnurbusch; M Winzeler; M Messmer; P Sourdille; O Abderhalden; B Keller; G Schachermayr
Journal:  Theor Appl Genet       Date:  2003-07-30       Impact factor: 5.699

7.  Overexpression of a rice heme activator protein gene (OsHAP2E) confers resistance to pathogens, salinity and drought, and increases photosynthesis and tiller number.

Authors:  Md Mahfuz Alam; Toru Tanaka; Hidemitsu Nakamura; Hiroaki Ichikawa; Kappei Kobayashi; Takashi Yaeno; Naoto Yamaoka; Kota Shimomoto; Kotaro Takayama; Hiroshige Nishina; Masamichi Nishiguchi
Journal:  Plant Biotechnol J       Date:  2014-08-28       Impact factor: 9.803

8.  The genetics of barley low-tillering mutants: absent lower laterals (als).

Authors:  Timothy Dabbert; Ron J Okagaki; Seungho Cho; Jayanand Boddu; Gary J Muehlbauer
Journal:  Theor Appl Genet       Date:  2009-02-25       Impact factor: 5.699

9.  Inhibition of tiller bud outgrowth in the tin mutant of wheat is associated with precocious internode development.

Authors:  Tesfamichael H Kebrom; Peter M Chandler; Steve M Swain; Rod W King; Richard A Richards; Wolfgang Spielmeyer
Journal:  Plant Physiol       Date:  2012-07-12       Impact factor: 8.340

10.  High-resolution melting analysis for SNP genotyping and mapping in tetraploid alfalfa (Medicago sativa L.).

Authors:  Yuanhong Han; Dong-Man Khu; Maria J Monteros
Journal:  Mol Breed       Date:  2011-03-29       Impact factor: 2.589

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  15 in total

1.  Fine mapping of the tiller inhibition gene TIN4 contributing to ideal plant architecture in common wheat.

Authors:  Zhiqiang Wang; Fangkun Wu; Xudong Chen; Wanlin Zhou; Haoran Shi; Yu Lin; Shuai Hou; Shifan Yu; Hong Zhou; Caixia Li; Yaxi Liu
Journal:  Theor Appl Genet       Date:  2021-10-30       Impact factor: 5.699

2.  Comprehensive transcriptomics, proteomics, and metabolomics analyses of the mechanisms regulating tiller production in low-tillering wheat.

Authors:  Zhiqiang Wang; Haoran Shi; Shifan Yu; Wanlin Zhou; Jing Li; Shihang Liu; Mei Deng; Jian Ma; Yuming Wei; Youliang Zheng; Yaxi Liu
Journal:  Theor Appl Genet       Date:  2019-04-16       Impact factor: 5.699

3.  Characterization of a common wheat (Triticum aestivum L.) high-tillering dwarf mutant.

Authors:  Tao Xu; Nengfei Bian; Mingxing Wen; Jin Xiao; Chunxia Yuan; Aizhong Cao; Shouzhong Zhang; Xiue Wang; Haiyan Wang
Journal:  Theor Appl Genet       Date:  2016-11-19       Impact factor: 5.699

4.  Utilization of a Wheat55K SNP Array for Mapping of Major QTL for Temporal Expression of the Tiller Number.

Authors:  Tianheng Ren; Yangshan Hu; Yingzi Tang; Chunsheng Li; Benju Yan; Zhenglong Ren; Feiquan Tan; Zongxiang Tang; Shulan Fu; Zhi Li
Journal:  Front Plant Sci       Date:  2018-03-15       Impact factor: 5.753

5.  Global QTL Analysis Identifies Genomic Regions on Chromosomes 4A and 4B Harboring Stable Loci for Yield-Related Traits Across Different Environments in Wheat (Triticum aestivum L.).

Authors:  Panfeng Guan; Lahu Lu; Lijia Jia; Muhammad Rezaul Kabir; Jinbo Zhang; Tianyu Lan; Yue Zhao; Mingming Xin; Zhaorong Hu; Yingyin Yao; Zhongfu Ni; Qixin Sun; Huiru Peng
Journal:  Front Plant Sci       Date:  2018-04-25       Impact factor: 5.753

6.  Detection of genomic regions associated with tiller number in Iranian bread wheat under different water regimes using genome-wide association study.

Authors:  Sayedeh Saba Bilgrami; Hadi Darzi Ramandi; Vahid Shariati; Khadijeh Razavi; Elahe Tavakol; Barat Ali Fakheri; Nafiseh Mahdi Nezhad; Mostafa Ghaderian
Journal:  Sci Rep       Date:  2020-08-20       Impact factor: 4.379

7.  QTL identification and KASP marker development for productive tiller and fertile spikelet numbers in two high-yielding hard white spring wheat cultivars.

Authors:  Rui Wang; Yuxiu Liu; Kyle Isham; Weidong Zhao; Justin Wheeler; Natalie Klassen; Yingang Hu; J Michael Bonman; Jianli Chen
Journal:  Mol Breed       Date:  2018-11-01       Impact factor: 2.589

Review 8.  Agronomic and Physiological Traits, and Associated Quantitative Trait Loci (QTL) Affecting Yield Response in Wheat (Triticum aestivum L.): A Review.

Authors:  Nkhathutsheleni Maureen Tshikunde; Jacob Mashilo; Hussein Shimelis; Alfred Odindo
Journal:  Front Plant Sci       Date:  2019-11-05       Impact factor: 5.753

9.  Quantitative Changes in the Transcription of Phytohormone-Related Genes: Some Transcription Factors Are Major Causes of the Wheat Mutant dmc Not Tillering.

Authors:  Ruishi He; Yongjing Ni; Junchang Li; Zhixin Jiao; Xinxin Zhu; Yumei Jiang; Qiaoyun Li; Jishan Niu
Journal:  Int J Mol Sci       Date:  2018-04-29       Impact factor: 5.923

10.  Functional mutation allele mining of plant architecture and yield-related agronomic traits and characterization of their effects in wheat.

Authors:  Huijun Guo; Hongchun Xiong; Yongdun Xie; Linshu Zhao; Jiayu Gu; Shirong Zhao; Yuping Ding; Luxiang Liu
Journal:  BMC Genet       Date:  2019-12-30       Impact factor: 2.797

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