ePlant: Visualizing and Exploring Multiple Levels of Data for Hypothesis Generation in Plant Biology

Interactions between transcription factors and chromatin regulators in the control of flower development

Chromatin modifiers and remodelers are involved in generating dynamic changes at the chromatin, which allow differential and specific readouts of the genome. While genetic evidence indicates that several chromatin factors play a key role in controlling basic developmental programs for inflorescence and flower morphogenesis, it remained unknown until recently how they exert their specificity toward gene expression, both temporally and spatially. An emerging topic is the recruitment or eviction of chromatin factors through the activity of sequence-specific DNA-binding domains, present in the chromatin factors themselves or in partnering transcription factors. Here we summarize recent progress that has been made in this regard in the model plant Arabidopsis thaliana. We further outline the different possible modes through which chromatin complexes specifically target genes involved in flower development.

The Integration of Electrical Signals Originating in the Root of Vascular Plants

Plants have developed different signaling systems allowing for the integration of environmental cues to coordinate molecular processes associated to both early development and the physiology of the adult plant. Research on systemic signaling in plants has traditionally focused on the role of phytohormones as long-distance signaling molecules, and more recently the importance of peptides and miRNAs in building up this communication process has also been described. However, it is well-known that plants have the ability to generate different types of long-range electrical signals in response to different stimuli such as light, temperature variations, wounding, salt stress, or gravitropic stimulation. Presently, it is unclear whether short or long-distance electrical communication in plants is linked to nutrient uptake. This review deals with aspects of sensory input in plant roots and the propagation of discrete signals to the plant body. We discuss the physiological role of electrical signaling in nutrient uptake and how nutrient variations may become an electrical signal propagating along the plant.

Identification of regulatory modules in genome scale transcription regulatory networks

Background

In gene regulatory networks, transcription factors often function as co-regulators to synergistically induce or inhibit expression of their target genes. However, most existing module-finding algorithms can only identify densely connected genes but not co-regulators in regulatory networks.

Methods

We have developed a new computational method, CoReg, to identify transcription co-regulators in large-scale regulatory networks. CoReg calculates gene similarities based on number of common neighbors of any two genes. Using simulated and real networks, we compared the performance of different similarity indices and existing module-finding algorithms and we found CoReg outperforms other published methods in identifying co-regulatory genes. We applied CoReg to a large-scale network of Arabidopsis with more than 2.8 million edges and we analyzed more than 2,300 published gene expression profiles to charaterize co-expression patterns of gene moduled identified by CoReg.

Results

We identified three types of modules in the Arabidopsis network: regulator modules, target modules and intermediate modules. Regulator modules include genes with more than 90% edges as out-going edges; Target modules include genes with more than 90% edges as incoming edges. Other modules are classified as intermediate modules. We found that genes in target modules tend to be highly co-expressed under abiotic stress conditions, suggesting this network struture is robust against perturbation.

Conclusions

Our analysis shows that the CoReg is an accurate method in identifying co-regulatory genes in large-scale networks. We provide CoReg as an R package, which can be applied in finding co-regulators in any organisms with genome-scale regulatory network data.

Electronic supplementary material

The online version of this article (10.1186/s12918-017-0493-2) contains supplementary material, which is available to authorized users.