Proteomic identification of genes associated with maize grain-filling rate

PLoS One. 2013;8(3):e59353. doi: 10.1371/journal.pone.0059353. Epub 2013 Mar 19.

Abstract

Grain filling during the linear phase contributes most of the dry matter accumulated in the maize kernel, which in turn determines the final grain yield. Endosperms and embryos of three elite maize hybrids (Zhengdan 958, Nongda 108, and Pioneer 335) were sampled 17, 22, 25, and 28 days after pollination, during the linear phase of grain filling, for proteomic analysis to explore the regulatory factors critical for grain filling rate. In total, 39 and 43 protein spots that showed more than 2-fold changes in abundance at P<0.01 between any two sampling stages in the endosperm and embryo were analyzed by protein mass spectrometry. The changing patterns in expression index of these proteins in the endosperm were evenly distributed, whereas up-regulation patterns predominated (74%) in the embryo. Functional analysis revealed that metabolism was the largest category, represented by nine proteins in the endosperm and 12 proteins in the embryo, of the proteins that significantly changed in abundance. Glycolysis, a critical process both for glucose conversion into pyruvate and for release of free energy and reducing power, and proteins related to redox homeostasis were emphasized in the endosperm. Additionally, lipid, nitrogen, and inositol metabolism related to fatty acid biosynthesis and late embryogenesis abundant proteins were emphasized in the embryo. One protein related to cellular redox equilibrium, which showed a more than 50-fold change in abundance and was co-localized with a quantitative trait locus for grain yield on chromosome 1, was further investigated by transcriptional profile implying consistent expression pattern with protein accumulation. The present results provide a first step towards elucidation of the gene network responsible for regulation of grain filling in maize.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Endosperm / growth & development*
  • Endosperm / metabolism
  • Gene Expression Profiling
  • Gene Expression Regulation, Plant / genetics*
  • Gene Regulatory Networks / genetics*
  • Mass Spectrometry
  • Metabolic Networks and Pathways / genetics*
  • Molecular Sequence Annotation
  • Proteomics / methods*
  • Seeds / growth & development
  • Seeds / metabolism*
  • Zea mays / genetics*
  • Zea mays / growth & development

Grants and funding

This work was supported by the Major State Basic Research Development Program of China (2012CB723001,http://www.nsfc.gov.cn.) and a grant from the National High Technology Research and Development Program of China (no 2012AA10A305 http://www.863.gov.cn/) and Key Base Research Project of Henan Province. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.