Plant Molecular Biology

, Volume 58, Issue 3, pp 401–419 | Cite as

Genome-wide expression profiling and identification of gene activities during early flower development in Arabidopsis

  • Xiaohong Zhang
  • Baomin Feng
  • Qing Zhang
  • Diya Zhang
  • Naomi Altman
  • Hong Ma


We have used oligonucleotide microarrays to detect Arabidopsis gene expression during early flower development. Among the 22,746 genes represented on the Affymetrix ATH1 chip, approximately 14,660 (64.5%) genes were expressed with signal intensity at or more than 50 in each of the six organs/structures examined, including young inflorescences (floral stages 1–9), stage-12 floral buds, developing siliques, leaves, stems, and roots. 17,583 genes were expressed with an intensity at or above 50 in at least one tissue, including 12,245 genes that were expressed in all the six tissues. Comparison of genes expressed between young inflorescence or stage-12 floral buds with other tissues suggests that relatively large numbers of genes are expressed at similar levels in tissues that are related morphologically and/or developmentally, as supported by a cluster analysis with data from two other studies. Further analysis of the genes preferentially expressed in floral tissues has uncovered new genes potentially involved in Arabidopsis flower development. One hundred and four genes were determined to be preferentially expressed in young inflorescences, including 22 genes encoding putative transcription factors. We also identified 105 genes that were preferentially expressed in three reproductive structures (the young inflorescences, stage-12 floral buds and developing siliques), when compared with the vegetative tissues. RT-PCR results of selected genes are consistent with the results from these microarrays and suggest that the relative signal intensities detected with the Affymetrix microarray are reliable estimates of gene expression.


Affymetrix microarray Arabidopsis thaliana flower development gene expression young inflorescence 


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Copyright information

© Springer 2005

Authors and Affiliations

  • Xiaohong Zhang
    • 1
  • Baomin Feng
    • 1
  • Qing Zhang
    • 2
  • Diya Zhang
    • 2
  • Naomi Altman
    • 2
  • Hong Ma
    • 1
  1. 1.Department of Biology and the Huck Institutes of the Life SciencesThe Pennsylvania State UniversityUniversity ParkUSA
  2. 2.Department of StatisticsThe Pennsylvania State UniversityUniversity ParkUSA

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