Plant Molecular Biology

, Volume 60, Issue 3, pp 343–363 | Cite as

Transcription Profile Analyses Identify Genes and Pathways Central to Root Cap Functions in Maize

  • Keni Jiang
  • Shibo Zhang
  • Stanley Lee
  • George Tsai
  • Kyungpil Kim
  • Haiyan Huang
  • Charles Chilcott
  • Tong Zhu
  • Lewis J. FeldmanEmail author


Affymetrix GeneChips arrayed with about one-half (~23K) of the rice genes were used to profile gene transcription activity in three tissues comprising the maize root tip; the proximal meristem (PM), the quiescent center (QC), and the root cap (RC). Here we analyze the gene transcription profile of the RC, compared to both the PM and the QC, from three biological replicates. In the RC, a total of 669 genes were identified as being differentially upregulated, and 365 differentially downregulated. Real-time quantitative RT-PCR analysis was used to confirm upregulated genes in the RC. In addition, using the technique of laser microdissection (LMD) we localized upregulated gene expression to the lateral RC cells. Taken as a whole, transcription profile analyses revealed the upregulation in the maize RC of clusters of genes linked to major metabolic processes and pathways, including: (1) transport, both the export of carbohydrates and the uptake of nutrients; (2) sensing and responding to (often stressful) biotic and abiotic environmental stimuli; (3) integrating the responses of at least 3 major growth regulators (auxin, ethylene, jasmonic acid); (4) processing the large amount of carbohydrate transported into the RC. Although the profile data are derived using heterologous rice GeneChips, with about half of the total rice gene set, this study, nevertheless, provides a genomic scale characterization of the entire RC, and serves as a new platform from which to advance studies of the network of pathways operating in the maize RC.

Key words

maize microarray root cap transcription profile 


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Copyright information

© Springer 2006

Authors and Affiliations

  • Keni Jiang
    • 1
  • Shibo Zhang
    • 1
  • Stanley Lee
    • 1
  • George Tsai
    • 1
  • Kyungpil Kim
    • 2
  • Haiyan Huang
    • 2
  • Charles Chilcott
    • 3
  • Tong Zhu
    • 3
  • Lewis J. Feldman
    • 1
    Email author
  1. 1.Department of Plant and Microbial BiologyUniversity of CaliforniaBerkeleyUSA
  2. 2.Department of StatisticsUniversity of CaliforniaBerkeleyUSA
  3. 3.Syngenta Biotechnology, Inc.Research Triangle ParkUSA

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