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Article
Analysis of the genetic architecture of maize kernel size traits by combined linkage and association mapping
Plant Biotechnology Journal
  • Min Liu, Sichuan Agricultural University
  • Xiaolong Tan, Sichuan Agricultural University
  • Yan Yang, Sichuan Agricultural University
  • Peng Liu, Sichuan Agricultural University
  • Xiaoxiang Zhang, Sichuan Agricultural University
  • Yinchao Zhang, Sichuan Agricultural University
  • Lei Wang, Sichuan Agricultural University
  • Yu Hu, Sichuan Agricultural University
  • Langlang Ma, Sichuan Agricultural University
  • Zhaoling Li, Sichuan Agricultural University
  • Yanling Zhang, Sichuan Agricultural University
  • Chaoying Zou, Sichuan Agricultural University
  • Haijian Lin, Sichuan Agricultural University
  • Shibin Gao, Sichuan Agricultural University
  • Michael Lee, Iowa State University
  • Thomas Lubberstedt, Iowa State University
  • Guangtang Pan, Sichuan Agricultural University
  • Yaou Shen, Sichuan Agricultural University
Document Type
Article
Publication Version
Published Version
Publication Date
1-1-2019
DOI
10.1111/pbi.13188
Abstract

Kernel size‐related traits are the most direct traits correlating with grain yield. The genetic basis of three kernel traits of maize, kernel length (KL), kernel width (KW) and kernel thickness (KT), was investigated in an association panel and a biparental population. A total of 21 single nucleotide polymorphisms (SNPs) were detected to be most significantly (P < 2.25 × 10−6) associated with these three traits in the association panel under four environments. Furthermore, 50 quantitative trait loci (QTL) controlling these traits were detected in seven environments in the intermated B73 × Mo17 (IBM) Syn10 doubled haploid (DH) population, of which eight were repetitively identified in at least three environments. Combining the two mapping populations revealed that 56 SNPs (P < 1 × 10−3) fell within 18 of the QTL confidence intervals. According to the top significant SNPs, stable‐effect SNPs and the co‐localized SNPs by association analysis and linkage mapping, a total of 73 candidate genes were identified, regulating seed development. Additionally, seven miRNAs were found to situate within the linkage disequilibrium (LD) regions of the co‐localized SNPs, of which zma‐miR164e was demonstrated to cleave the mRNAs of Arabidopsis CUC1, CUC2 and NAC6 in vitro. Overexpression of zma‐miR164e resulted in the down‐regulation of these genes above and the failure of seed formation in Arabidopsis pods, with the increased branch number. These findings provide insights into the mechanism of seed development and the improvement of molecular marker‐assisted selection (MAS) for high‐yield breeding in maize.

Comments

This article is published as Liu, Min, Xiaolong Tan, Yan Yang, Peng Liu, Xiaoxiang Zhang, Yinchao Zhang, Lei Wang et al. "Analysis of the genetic architecture of maize kernel size traits by combined linkage and association mapping." Plant biotechnology journal (2019). doi: 10.1111/pbi.13188.

Creative Commons License
Creative Commons Attribution 4.0 International
Copyright Owner
The Authors
Language
en
File Format
application/pdf
Citation Information
Min Liu, Xiaolong Tan, Yan Yang, Peng Liu, et al.. "Analysis of the genetic architecture of maize kernel size traits by combined linkage and association mapping" Plant Biotechnology Journal (2019)
Available at: http://works.bepress.com/thomas-lubberstedt/98/