Transcriptome dynamics of the stomatal lineage: Birth, amplification, and termination of a self-renewing population

Jessika Adrian, Jessica Chang, Catherine E. Ballenger, Bastiaan O R Bargmann, Julien Alassimone, Kelli A. Davies, On Sun Lau, Juliana L. Matos, Charles Hachez, Amy Lanctot, Anne Vatén, Kenneth D. Birnbaum, Dominique C. Bergmann

Research output: Contribution to journalArticle

Abstract

Developmental transitions can be described in terms of morphology and the roles of individual genes, butalso in terms of global transcriptional and epigenetic changes. Temporal dissections of transcriptome changes, however, are rare for intact, developing tissues. We used RNA sequencing and microarray platforms to quantify gene expression from labeled cells isolated by fluorescence-activated cell sorting to generate cell-type-specific transcriptomes during development of an adult stem-cell lineage in the Arabidopsis leaf. We show that regulatory modules in this early lineage link cell types that hadpreviously been considered to be under separate control and provide evidence for recruitment ofindividual members of gene families for different developmental decisions. Because stomata are physiologically important and because stomatal lineage cells exhibit exemplary division, cell fate, and cell signaling behaviors, this dataset serves as a valuable resource for further investigations of fundamental developmental processes.

Original languageEnglish (US)
Pages (from-to)107-118
Number of pages12
JournalDevelopmental Cell
Volume33
Issue number1
DOIs
StatePublished - Apr 6 2015

ASJC Scopus subject areas

  • Molecular Biology
  • Biochemistry, Genetics and Molecular Biology(all)
  • Developmental Biology
  • Cell Biology

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    Adrian, J., Chang, J., Ballenger, C. E., Bargmann, B. O. R., Alassimone, J., Davies, K. A., Lau, O. S., Matos, J. L., Hachez, C., Lanctot, A., Vatén, A., Birnbaum, K. D., & Bergmann, D. C. (2015). Transcriptome dynamics of the stomatal lineage: Birth, amplification, and termination of a self-renewing population. Developmental Cell, 33(1), 107-118. https://doi.org/10.1016/j.devcel.2015.01.025