Diurnal transcriptome and gene network represented through sparse modeling in brachypodium distachyon

Satoru Koda, Yoshihiko Onda, Hidetoshi Matsui, Kotaro Takahagi, Yukiko Yamaguchi-Uehara, Minami Shimizu, Komaki Inoue, Takuhiro Yoshida, Tetsuya Sakurai, Hiroshi Honda, Shinto Eguchi, Ryuei Nishii, Keiichi Mochida

    Research output: Contribution to journalArticlepeer-review

    7 Citations (Scopus)

    Abstract

    We report the comprehensive identification of periodic genes and their network inference, based on a gene co-expression analysis and an Auto-Regressive eXogenous (ARX) model with a group smoothly clipped absolute deviation (SCAD) method using a time-series transcriptome dataset in a model grass, Brachypodium distachyon. To reveal the diurnal changes in the transcriptome in B. distachyon, we performed RNA-seq analysis of its leaves sampled through a diurnal cycle of over 48 h at 4 h intervals using three biological replications, and identified 3,621 periodic genes through our wavelet analysis. The expression data are feasible to infer network sparsity based on ARX models. We found that genes involved in biological processes such as transcriptional regulation, protein degradation, and post-transcriptional modification and photosynthesis are significantly enriched in the periodic genes, suggesting that these processes might be regulated by circadian rhythm in B. distachyon. On the basis of the time-series expression patterns of the periodic genes, we constructed a chronological gene co-expression network and identified putative transcription factors encoding genes that might be involved in the time-specific regulatory transcriptional network. Moreover, we inferred a transcriptional network composed of the periodic genes in B. distachyon, aiming to identify genes associated with other genes through variable selection by grouping time points for each gene. Based on the ARX model with the group SCAD regularization using our time-series expression datasets of the periodic genes, we constructed gene networks and found that the networks represent typical scale-free structure. Our findings demonstrate that the diurnal changes in the transcriptome in B. distachyon leaves have a sparse network structure, demonstrating the spatiotemporal gene regulatory network over the cyclic phase transitions in B. distachyon diurnal growth.

    Original languageEnglish
    Article number2055
    JournalFrontiers in Plant Science
    Volume8
    DOIs
    Publication statusPublished - Nov 28 2017

    Keywords

    • Autoregressive with exogenous variables (ARX) model
    • Brachypodium distachyon
    • Gene network inference
    • Group-SCAD
    • Transcriptome

    ASJC Scopus subject areas

    • Plant Science

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