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Quantitative Trait Locus Analysis for Deep-Sowing Germination Ability in the Maize IBM Syn10 DH Population
Frontiers in Plant Science
  • Hongjun Liu, Shandong Agricultural University
  • Lin Zhang, Northeast Agricultural University
  • Jiechen Wang, Chinese Academy of Sciences
  • Changsheng Li, Shenyang Agricultural University
  • Xing Zeng, Northeast Agricultural University
  • Shupeng Xie, Heilongjiang Academy of Agricultureal Sciences
  • Yongzhong Zhang, Shandong Agricultural University
  • Sisi Liu, Sichuan Agricultural University
  • Songlin Hu, Iowa State University
  • Jianhua Wang, China Agricultural University
  • Michael Lee, Iowa State University
  • Guangwu Zhao, Zhejiang Agriculture and Forestry University
  • Thomas Lubberstedt, Iowa State University
Document Type
Article
Publication Date
1-1-2017
DOI
10.3389/fpls.2017.00813
Abstract

Deep-sowing is an effective measure to ensure seeds absorbing water from deep soil layer and emerging normally in arid and semiarid regions. However, existing varieties demonstrate poor germination ability in deep soil layer and some key quantitative trait loci (QTL) or genes related to deep-sowing germination ability remain to be identified and analyzed. In this study, a high-resolution genetic map based on 280 lines of the intermated B73 × Mo17 (IBM) Syn10 doubled haploid (DH) population which comprised 6618 bin markers was used for the QTL analysis of deep-sowing germination related traits. The results showed significant differences in germination related traits under deep-sowing condition (12.5 cm) and standard-germination condition (2 cm) between two parental lines. In total, 8, 11, 13, 15, and 18 QTL for germination rate, seedling length, mesocotyl length, plumule length, and coleoptile length were detected for the two sowing conditions, respectively. These QTL explained 2.51–7.8% of the phenotypic variance with LOD scores ranging from 2.52 to 7.13. Additionally, 32 overlapping QTL formed 11 QTL clusters on all chromosomes except for chromosome 8, indicating the minor effect genes have a pleiotropic role in regulating various traits. Furthermore, we identified six candidate genes related to deep-sowing germination ability, which were co-located in the cluster regions. The results provide a basis for molecular marker assisted breeding and functional study in deep-sowing germination ability of maize.

Comments

This article is published as Liu, Hongjun, Lin Zhang, Jiechen Wang, Changsheng Li, Xing Zeng, Shupeng Xie, Yongzhong Zhang et al. "Quantitative Trait Locus Analysis for Deep-Sowing Germination Ability in the Maize IBM Syn10 DH Population." Frontiers in plant science 8 (2017). 10.3389/fpls.2017.00813. Posted with permission.

Creative Commons License
Creative Commons Attribution 4.0 International
Copyright Owner
The Authors
Language
en
File Format
application/pdf
Citation Information
Hongjun Liu, Lin Zhang, Jiechen Wang, Changsheng Li, et al.. "Quantitative Trait Locus Analysis for Deep-Sowing Germination Ability in the Maize IBM Syn10 DH Population" Frontiers in Plant Science Vol. 8 (2017)
Available at: http://works.bepress.com/thomas-lubberstedt/48/