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Euphytica

, 215:212 | Cite as

Quantitative trait loci mapping of plant architecture-related traits using the high-throughput genotyping by sequencing method

  • Xun WuEmail author
  • Xiangyang Guo
  • Angui Wang
  • Pengfei Liu
  • Wenqiang Wu
  • Qiang Zhao
  • Manyi Zhao
  • Yunfang Zhu
  • Zehui ChenEmail author
Article
  • 44 Downloads

Abstract

Plant architecture-related traits are important in breeding maize (Zea mays L.). Suwan maize germplasm has been widely used in tropical/subtropical regions because of its abundant genetic diversity compared to temperate germplasm. To investigate the influence of the genetic base on the detection of quantitative trait loci (QTLs) controlling plant architecture-related traits, a population of 150 F2:3 progeny derived from ZHL908 and HCL645 were developed and genotyped using the genotyping by sequencing (GBS) method. Through inclusive composite interval mapping using 5636 SNP markers, a total of 25 QTL-controlling plant architecture-related traits were identified. Seventeen QTLs had been previously reported, which may be important in future MAS breeding. Eight new QTLs were reported for the first time in this study. Of the 25 QTLs, 7 QTLs were related to plant height (PH), 4 QTLs were related to ear height (EH), 4 QTLs were related to leaf number (LN), 5 QTLs were related to tassel length (TL), and 5 QTLs were related to tassel primary branch number (TPBN). Four plant architectural trait-related genes, sparse inflorescence1, ramosa3, dwarf1, and zea floricaula/leafy1, were found to be located in qLN4, qTL5, qTPBN1 and qTPBN5, respectively. These results not only provide new insights into the genetic research investigating maize plant architecture variation but also provide molecular evidence that may enable the improvement of Suwan germplasm in modern maize breeding.

Keywords

Maize (Zea mays L.Quantitative trait locus (QTL) Plant architecture Genotyping by sequencing 

Notes

Acknowledgements

This research was supported by the National Key Research and Development Program of China (2018YFD0100104), the National Natural Science Foundation of China (31760387), the Guizhou Academy of Agricultural Science Innovation Program ([2014] 006), the Guizhou Natural Science Foundation ([2017]1413), the Guizhou Major Special Projects ([2013]6022), the Guizhou Science and Technology Support Program ([2017]2507, [2018]2296, and [2017] 2504-1), the Qiankehe Talent Platform ([2018]5629), and government subsidies to local platform construction projects (QKZYD[2018]4003).

Supplementary material

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Fig. S1Distribution of SNPs across the genome. Light color indicates a low density of markers, and deep color indicates a high density of markers. (DOCX 871 kb)

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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  • Xun Wu
    • 1
    Email author
  • Xiangyang Guo
    • 1
  • Angui Wang
    • 1
  • Pengfei Liu
    • 1
  • Wenqiang Wu
    • 1
  • Qiang Zhao
    • 1
  • Manyi Zhao
    • 1
  • Yunfang Zhu
    • 1
  • Zehui Chen
    • 1
    Email author
  1. 1.Institute of Upland Food CropsGuizhou Academy of Agricultural SciencesGuiyangChina

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