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LATE ELONGATED HYPOCOTYL potentiates resistance conferred by CIRCADIAN CLOCK ASSOCIATED1 to aphid by co-regulating the expression of indole glucosinolate biosynthetic genes

CIRCADIAN CLOCK ASSOCIATED1 (CCA1) and LATE ELONGATED HYPOCOTYL (LHY) are core components of the circadian clock in Arabidopsis thaliana that impacts plant response to biotic stresses. Their clock-regulating functions are believed to be partially redundant, and mutation of either gene leads to shortened periods of the circadian cycle. Our recent study has demonstrated that CCA1 promotes plant resistance to the green peach aphid (Myzus persicae) through modulation of indole glucosinolate biosynthesis, but the role of LHY remains to be elucidated. Here we showed that, similar to cca1-11, single mutant lhy-21 became more susceptible to aphid infestation. Damage to the cca1-11 lhy-21 double mutant by aphids was most pronounced, indicating that the defensive roles of CCA1 and LHY were not entirely redundant. Also, the cyclic expression pattern of key indole glucosinolate biosynthetic genes was considerably disturbed in both single mutants and this was more severe in the double mutant. Apparently, both CCA1 and LHY were necessary for circadian-regulated indole glucosinolate biosynthesis. Taken together, LHY-CCA1 coordination in transcriptional regulation of indole glucosinolate biosynthetic genes most likely contributed to plant defensive capacity against aphids.

SeqEnrich: A tool to predict transcription factor networks from co-expressed Arabidopsis and Brassica napus gene sets

Transcription factors and their associated DNA binding sites are key regulatory elements of cellular differentiation, development, and environmental response. New tools that predict transcriptional regulation of biological processes are valuable to researchers studying both model and emerging-model plant systems. SeqEnrich predicts transcription factor networks from co-expressed Arabidopsis or Brassica napus gene sets. The networks produced by SeqEnrich are supported by existing literature and predicted transcription factor–DNA interactions that can be functionally validated at the laboratory bench. The program functions with gene sets of varying sizes and derived from diverse tissues and environmental treatments. SeqEnrich presents as a powerful predictive framework for the analysis of Arabidopsis and Brassica napus co-expression data, and is designed so that researchers at all levels can easily access and interpret predicted transcriptional circuits. The program outperformed its ancestral program ChipEnrich, and produced detailed transcription factor networks from Arabidopsis and Brassica napus gene expression data. The SeqEnrich program is ideal for generating new hypotheses and distilling biological information from large-scale expression data.