Comparative Transcriptomics of Early Meiosis in Arabidopsis and Maize

Stefanie Dukowic-Schulze, Anthony Harris, Junhua Li, Anitha Sundararajan, Joann Mudge, Ernest F. Retzel, Wojciech P. Pawlowski, Changbin Chen

Research output: Contribution to journalArticlepeer-review

30 Scopus citations


Though sexually reproductive plants share the same principle and most processes in meiosis, there are distinct features detectable. To address the similarities and differences of early meiosis transcriptomes from the dicot model system Arabidopsis and monocot model system maize, we performed comparative analyses of RNA-seq data of isolated meiocytes, anthers and seedlings from both species separately and via orthologous genes. Overall gene expression showed similarities, such as an increased number of reads mapping to unannotated features, and differences, such as the amount of differentially expressed genes. We detected major similarities and differences in functional annotations of genes up-regulated in meiocytes, which point to conserved features as well as unique features. Transcriptional regulation seems to be quite similar in Arabidopsis and maize, and we could reveal known and novel transcription factors and cis-regulatory elements acting in early meiosis. Taken together, meiosis between Arabidopsis and maize is conserved in many ways, but displays key distinctions that lie in the patterns of gene expression.

Original languageEnglish (US)
Pages (from-to)139-152
Number of pages14
JournalJournal of Genetics and Genomics
Issue number3
StatePublished - Mar 20 2014

Bibliographical note

Funding Information:
We thank T. Li and D. McDowell for plant care, and R. Meissner and D. Brinkmann for facility support. This work was supported by the National Science Foundation of USA (IOS: 1025881 ) to W.P. and C.C., and by funds from the Biotechnology Research and Development Corporation of USA to C.C.

Copyright 2014 Elsevier B.V., All rights reserved.


  • Arabidopsis
  • Maize
  • Meiocytes
  • Meiosis
  • RNA-seq
  • Transcriptome


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