Dynamic-module redundancy confers robustness to the gene regulatory network involved in hair patterning of Arabidopsis epidermis

Redundancy among dynamic modules is emerging as a potentially generic trait in gene regulatory networks. Moreover, module redundancy could play an important role in network robustness to perturbations. We explored the effect of dynamic-module redundancy in the networks associated to hair patterning in Arabidopsis root and leaf epidermis. Recent studies have put forward several dynamic modules belonging to these networks. We defined these modules in a discrete dynamical framework that was previously reported. Then, we addressed whether these modules are sufficient or necessary for recovering epidermal cell types and patterning. After defining two quantitative estimates of the system's robustness, we also compared the robustness of each separate module with that of a network coupling all the leaf or root modules. We found that, considering certain assumptions, all the dynamic modules proposed so far are sufficient on their own for pattern formation, but reinforce each other during epidermal development. Furthermore, we found that networks of coupled modules are more robust to perturbations than single modules. These results suggest that dynamic-module redundancy might be an important trait in gene regulatory networks and point at central questions regarding network evolution, module coupling, pattern robustness and the evolution of development.     

Analysis of IIId, IIIe and IVa group basic-helix-loop-helix proteins expressed in Arabidopsis root epidermis

Differentiation of Arabidopsis epidermal cells into root hairs and trichomes is a functional model system for understanding plant cell development. Previous studies showed that one of the Arabidopsis basic-helix-loop-helix (AtbHLH) proteins, GLABRA3 (GL3), is involved in root-hair and trichome differentiation. We analyzed 11 additional AtbHLH genes with homology to GL3. Estimation of the phylogeny based on amino acid sequences of the bHLH region suggests that 11 AtbHLH genes used in this study evolved by duplications of a single common GL3 ancestor. Promoter-GUS analysis showed that AtbHLH006, AtbHLH013, AtbHLH017 and AtbHLH020 were expressed in roots. Among them, AtbHLH006 and AtbHLH020 were preferentially expressed in root epidermal non-hair cells. Consistent with the expression patterns from promoter-GUS analysis, GFP fluorescence was observed in the nuclei of root epidermal non-hair cells of AtbHLH006p::AtbHLH006:GFP and AtbHLH020p::AtbHLH020:GFP transgenic plants. However, AtbHLH006 and AtbHLH0020 proteins did not interact with epidermis-specific MYB proteins and TTG1. Taken together, AtbHLH006 and AtbHLH020 may function in root epidermal cells, but other GL3-like bHLH proteins may have evolved to regulate different processes.     

A gene regulatory network for root hair development

Journal of Plant Research - Root hairs play important roles for the acquisition of nutrients, microbe interaction and plant anchorage. In addition, root hairs provide an excellent model system to...     

High efficient gene targeting on the AGAMOUS gene in an ArabidopsisAtLIG4 mutant

Gene targeting induced by homologous integration of a foreign DNA segment into a chromosomal target sequence enables precise disruption or replacement of genes of interest and provides an effective means to analyze gene function, and also becomes an useful technique for breeding. But, integration of introduced DNA fragments is predominantly non-homologous in most species. However, we presented high-efficient homologous integration in disruptants of non-homologous end joining (NHEJ), that is, the Ku70-, Ku80- or Lig4-homologs deficient strain, in a model fungus Neurospora crassa. When the effect of NHEJ-defective plants for gene targeting was therefore examined in a model plant Arabidopsis (Arabidopsis thaliana), the efficiencies of gene targeting in the Atlig4/Atlig4 plant were 2/7 (28.6%) against calli obtained a selection-marker gene, 2/16 (12.5%) against selected calli, and about 2/540 (0.004%) against total cell particles at the starting point for transformation. The results of this paper show that the NHEJ-deficient system might cause a decrease in the efficiency of transformation but gives true targeted transformants with high efficiency in plant cell.     

A new role for the SHATTERPROOF genes during Arabidopsis gynoecium development

Gynoecium development is a complex process which is regulated by key factors that control the spatial formation of the apical, medial and basal parts. SHATTERPROOF1 (SHP1) and SHP2, two closely related MADS-box genes, redundantly control the differentiation of the dehiscence zone and promote the lignification of adjacent cells. Furthermore, SHP1 and SHP2 have shown to play an important role in ovule identity determination. The present work identifies a new function for these two genes in promoting stigma, style and medial tissue development. This new role was discovered by combining the shp1 shp2 double mutant with the aintegumenta (ant) and crabs claw (crc) mutants. In quadruple mutant flowers, the inner whorl is composed of unfused carpels which lack almost completely apical and medial tissues, a phenotype similar to the previously reported fil ant and lug ant double mutants.     

A novel regulatory circuit specifies cell fate in the Arabidopsis root epidermis

The specification of distinct cell fates in multicellular organisms is a fundamental process in developmental biology. The Arabidopsis root epidermis, which consists of root-hair cells and non-hair cells, provides a useful model system for studying cell fate specification. In this tissue, the cell fates are determined by their relative position to the underlying cortical cells, and many genes have been identified that regulate this position-dependent cell fate specification. Recent studies using genetic, molecular, and biochemical approaches have shed new light on this process and revealed a complex network of interacting and interdependent components. In particular, a novel regulatory circuit has recently been identified, which includes a lateral inhibition pathway and a feedback loop that enables intercellular communication and ensures that two distinct cell types arise in an appropriate pattern. This regulatory circuit is also influenced by a positional signaling pathway which includes the SCRAMBLED leucine-rich repeat receptor kinase. The studies of cell fate specification in the Arabidopsis root epidermis provide new insights into the molecular strategies used to define distinct cell types in plants.     

Stabilizing patterning in the Drosophila segment polarity network by selecting models in silico

The segmentation of Drosophila is a prime model to study spatial patterning during embryogenesis. The spatial expression of segment polarity genes results from a complex network of interacting proteins whose expression products are maintained after successful segmentation. This prompted us to investigate the stability and robustness of this process using a dynamical model for the segmentation network based on Boolean states. The model consists of intra-cellular as well as inter-cellular interactions between adjacent cells in one spatial dimension. We quantify the robustness of the dynamical segmentation process by a systematic analysis of mutations. Our starting point consists in a previous Boolean model for Drosophila segmentation. We define mathematically the notion of dynamical robustness and show that the proposed model exhibits limited robustness in gene expression under perturbations. We applied in silico evolution (mutation and selection) and discover two classes of modified gene networks that have a more robust spatial expression pattern. We verified that the enhanced robustness of the two new models is maintained in differential equations models. By comparing the predicted model with experiments on mutated flies, we then discuss the two types of enhanced models. Drosophila patterning can be explained by modelling the underlying network of interacting genes. Here we demonstrate that simple dynamical considerations and in silico evolution can enhance the model to robustly express the expected pattern, helping to elucidate the role of further interactions.     

A Markov-blanket-based model for gene regulatory network inference

An efficient two-step Markov blanket method for modeling and inferring complex regulatory networks from large-scale microarray data sets is presented. The inferred gene regulatory network (GRN) is based on the time series gene expression data capturing the underlying gene interactions. For constructing a highly accurate GRN, the proposed method performs: 1) discovery of a gene's Markov Blanket (MB), 2) formulation of a flexible measure to determine the network's quality, 3) efficient searching with the aid of a guided genetic algorithm, and 4) pruning to obtain a minimal set of correct interactions. Investigations are carried out using both synthetic as well as yeast cell cycle gene expression data sets. The realistic synthetic data sets validate the robustness of the method by varying topology, sample size, time delay, noise, vertex in-degree, and the presence of hidden nodes. It is shown that the proposed approach has excellent inferential capabilities and high accuracy even in the presence of noise. The gene network inferred from yeast cell cycle data is investigated for its biological relevance using well-known interactions, sequence analysis, motif patterns, and GO data. Further, novel interactions are predicted for the unknown genes of the network and their influence on other genes is also discussed.     

Comparative analysis of GT14/GT14-like gene family in Arabidopsis, Oryza, Populus, Sorghum and Vitis

Glycosyltransferase family14 (GT14) belongs to the glycosyltransferase (GT) superfamily that plays important roles in the biosynthesis of cell walls, the most abundant source of cellulosic biomass for bioethanol production. It has been hypothesized that DUF266 proteins are a new class of GTs related to GT14. In this study, we identified 62 GT14 and 106 DUF266 genes (named GT14-like herein) in Arabidopsis, Oryza, Populus, Sorghum and Vitis. Our phylogenetic analysis separated GT14 and GT14-like genes into two distinct clades, which were further divided into eight and five groups, respectively. Similarities in protein domain, 3D structure and gene expression were uncovered between the two phylogenetic clades, supporting the hypothesis that GT14 and GT14-like genes belong to one family. Therefore, we proposed a new family name, GT14/GT14-like family that combines both subfamilies. Variation in gene expression and protein subcellular localization within the GT14-like subfamily were greater than those within the GT14 subfamily. One-half of the Arabidopsis and Populus GT14/GT14-like genes were found to be preferentially expressed in stem/xylem, indicating that they are likely involved in cell wall biosynthesis. This study provided new insights into the evolution and functional diversification of the GT14/GT14-like family genes.