Seeing the unseen: a trifoliate (MYB117) mutant allele fortifies folate and carotenoids in tomato fruits.

In tomato (Solanum lycopersicum), mutations in the gene encoding the R2R3-MYB117 transcription factor elicit trifoliate leaves and initiate the formation of axillary meristems; however, their effects on fruit ripening remain unexplored. The fruits of a new trifoliate (tf) mutant (tf-5) were firmer and had higher °Brix values and higher folate and carotenoid contents. The transcriptome, proteome, and metabolome profiling of tf-5 reflected a broad-spectrum change in cellular homeostasis. The tf-5 allele enhanced the fruit firmness by suppressing cell wall softening-related proteins. tf-5 fruit displayed a substantial increase in amino acids, particularly γ-aminobutyric acid, with a parallel reduction in aminoacyl-tRNA synthases. The increased lipoxygenase protein and transcript levels seemingly elevated jasmonic acid levels. In addition, increased abscisic acid hydrolase transcript levels coupled with reduced precursor supply lowered abscisic acid levels. The upregulation of carotenoids was mediated by modulation of methylerythreitol and plastoquinone pathways and increased the levels of carotenoid isomerization proteins. The upregulation of folate in tf-5 was connoted by the increase in the precursor p-aminobenzoic acid and transcript levels of several folate biosynthesis genes. The reduction in pterin-6-carboxylate levels and γ-glutamyl hydrolase activity indicated that reduced folate degradation in tf-5 increased folate levels. Our study delineates that in addition to leaf development, MYB117 also influences fruit metabolism. The tf-5 allele can be used to increase γ-aminobutyric acid, carotenoid, and folate levels in tomato.

CmLHP1 proteins play a key role in plant development and sex determination in melon (Cucumis melo).

In monoecious melon (Cucumis melo), sex is determined by the differential expression of sex determination genes (SDGs) and adoption of sex-specific transcriptional programs. Histone modifications such as H3K27me3 have been previously shown to be a hallmark associated to unisexual flower development in melon; yet, no genetic approaches have been conducted for elucidating the roles of H3K27me3 writers, readers, and erasers in this process. Here we show that melon homologs to Arabidopsis LHP1, CmLHP1A and B, redundantly control several aspects of plant development, including sex expression. Cmlhp1ab double mutants displayed an overall loss and redistribution of H3K27me3, leading to a deregulation of genes involved in hormone responses, plant architecture, and flower development. Consequently, double mutants display pleiotropic phenotypes and, interestingly, a general increase of the male:female ratio. We associated this phenomenon with a general deregulation of some hormonal response genes and a local activation of male-promoting SDGs and MADS-box transcription factors. Altogether, these results reveal a novel function for CmLHP1 proteins in maintenance of monoecy and provide novel insights into the polycomb-mediated epigenomic regulation of sex lability in plants.

HSFA1a modulates plant heat stress responses and alters the 3D chromatin organization of enhancer-promoter interactions.

The complex and dynamic three-dimensional organization of chromatin within the nucleus makes understanding the control of gene expression challenging, but also opens up possible ways to epigenetically modulate gene expression. Because plants are sessile, they evolved sophisticated ways to rapidly modulate gene expression in response to environmental stress, that are thought to be coordinated by changes in chromatin conformation to mediate specific cellular and physiological responses. However, to what extent and how stress induces dynamic changes in chromatin reorganization remains poorly understood. Here, we comprehensively investigated genome-wide chromatin changes associated with transcriptional reprogramming response to heat stress in tomato. Our data show that heat stress induces rapid changes in chromatin architecture, leading to the transient formation of promoter-enhancer contacts, likely driving the expression of heat-stress responsive genes. Furthermore, we demonstrate that chromatin spatial reorganization requires HSFA1a, a transcription factor (TF) essential for heat stress tolerance in tomato. In light of our findings, we propose that TFs play a key role in controlling dynamic transcriptional responses through 3D reconfiguration of promoter-enhancer contacts.

NetREx: Network-based Rice Expression Analysis Server for abiotic stress conditions.

Recent focus on transcriptomic studies in food crops like rice, wheat and maize provide new opportunities to address issues related to agriculture and climate change. Re-analysis of such data available in public domain supplemented with annotations across molecular hierarchy can be of immense help to the plant research community, particularly co-expression networks representing transcriptionally coordinated genes that are often part of the same biological process. With this objective, we have developed NetREx, a Network-based Rice Expression Analysis Server, that hosts ranked co-expression networks of Oryza sativa using publicly available messenger RNA sequencing data across uniform experimental conditions. It provides a range of interactable data viewers and modules for analysing user-queried genes across different stress conditions (drought, flood, cold and osmosis) and hormonal treatments (abscisic and jasmonic acid) and tissues (root and shoot). Subnetworks of user-defined genes can be queried in pre-constructed tissue-specific networks, allowing users to view the fold change, module memberships, gene annotations and analysis of their neighbourhood genes and associated pathways. The web server also allows querying of orthologous genes from Arabidopsis, wheat, maize, barley and sorghum. Here, we demonstrate that NetREx can be used to identify novel candidate genes and tissue-specific interactions under stress conditions and can aid in the analysis and understanding of complex phenotypes linked to stress response in rice. Database URL: https://bioinf.iiit.ac.in/netrex/index.html.

Meta-analysis of drought-tolerant genotypes in Oryza sativa: A network-based approach.

BACKGROUND: Drought is a severe environmental stress. It is estimated that about 50% of the world rice production is affected mainly by drought. Apart from conventional breeding strategies to develop drought-tolerant crops, innovative computational approaches may provide insights into the underlying molecular mechanisms of stress response and identify drought-responsive markers. Here we propose a network-based computational approach involving a meta-analytic study of seven drought-tolerant rice genotypes under drought stress. RESULTS: Co-expression networks enable large-scale analysis of gene-pair associations and tightly coupled clusters that may represent coordinated biological processes. Considering differentially expressed genes in the co-expressed modules and supplementing external information such as resistance/tolerance QTLs, transcription factors, network-based topological measures, we identify and prioritize drought-adaptive co-expressed gene modules and potential candidate genes. Using the candidate genes that are well-represented across the datasets as 'seed' genes, two drought-specific protein-protein interaction networks (PPINs) are constructed with up- and down-regulated genes. Cluster analysis of the up-regulated PPIN revealed ABA signalling pathway as a central process in drought response with a probable crosstalk with energy metabolic processes. Tightly coupled gene clusters representing up-regulation of core cellular respiratory processes and enhanced degradation of branched chain amino acids and cell wall metabolism are identified. Cluster analysis of down-regulated PPIN provides a snapshot of major processes associated with photosynthesis, growth, development and protein synthesis, most of which are shut down during drought. Differential regulation of phytohormones, e.g., jasmonic acid, cell wall metabolism, signalling and posttranslational modifications associated with biotic stress are elucidated. Functional characterization of topologically important, drought-responsive uncharacterized genes that may play a role in important processes such as ABA signalling, calcium signalling, photosynthesis and cell wall metabolism is discussed. Further transgenic studies on these genes may help in elucidating their biological role under stress conditions. CONCLUSION: Currently, a large number of resources for rice functional genomics exist which are mostly underutilized by the scientific community. In this study, a computational approach integrating information from various resources such as gene co-expression networks, protein-protein interactions and pathway-level information is proposed to provide a systems-level view of complex drought-responsive processes across the drought-tolerant genotypes.

Protocol for Coexpression Network Construction and Stress-Responsive Expression Analysis in Brachypodium.

Identifying functionally coexpressed genes and modules has increasingly become important to understand the transcriptional flux and to understand large scale gene association. Application of the graph theory and combination of tools has allowed to understand the genic interaction and to understand the role of hub and non-hub proteins in plant development and its ability to cope with stress. Association genetics has also been coupled with network modules to map these key genes as e-QTLs. High throughput sequencing approaches has revolutionized the mining of the gene behavior and also the association of the genes over time-series. The present protocol chapter presents a unified workflow to understand the transcriptional modules in Brachypodium distachyon using weighted coexpressed gene network analysis approach.

Functional characterization of drought-responsive modules and genes in Oryza sativa: a network-based approach.

Drought is one of the major environmental stress conditions affecting the yield of rice across the globe. Unraveling the functional roles of the drought-responsive genes and their underlying molecular mechanisms will provide important leads to improve the yield of rice. Co-expression relationships derived from condition-dependent gene expression data is an effective way to identify the functional associations between genes that are part of the same biological process and may be under similar transcriptional control. For this purpose, vast amount of freely available transcriptomic data may be used. In this study, we consider gene expression data for different tissues and developmental stages in response to drought stress. We analyze the network of co-expressed genes to identify drought-responsive genes modules in a tissue and stage-specific manner based on differential expression and gene enrichment analysis. Taking cues from the systems-level behavior of these modules, we propose two approaches to identify clusters of tightly co-expressed/co-regulated genes. Using graph-centrality measures and differential gene expression, we identify biologically informative genes that lack any functional annotation. We show that using orthologous information from other plant species, the conserved co-expression patterns of the uncharacterized genes can be identified. Presence of a conserved neighborhood enables us to extrapolate functional annotation. Alternatively, we show that single 'guide-gene' approach can help in understanding tissue-specific transcriptional regulation of uncharacterized genes. Finally, we confirm the predicted roles of uncharacterized genes by the analysis of conserved cis-elements and explain the possible roles of these genes toward drought tolerance.

Protein domain of unknown function 3233 is a translocation domain of autotransporter secretory mechanism in gamma proteobacteria.

Vibrio cholerae, the enteropathogenic gram negative bacteria is one of the main causative agents of waterborne diseases like cholera. About 1/3(rd) of the organism's genome is uncharacterised with many protein coding genes lacking structure and functional information. These proteins form significant fraction of the genome and are crucial in understanding the organism's complete functional makeup. In this study we report the general structure and function of a family of hypothetical proteins, Domain of Unknown Function 3233 (DUF3233), which are conserved across gram negative gammaproteobacteria (especially in Vibrio sp. and similar bacteria). Profile and HMM based sequence search methods were used to screen homologues of DUF3233. The I-TASSER fold recognition method was used to build a three dimensional structural model of the domain. The structure resembles the transmembrane beta-barrel with an axial N-terminal helix and twelve antiparallel beta-strands. Using a combination of amphipathy and discrimination analysis we analysed the potential transmembrane beta-barrel forming properties of DUF3233. Sequence, structure and phylogenetic analysis of DUF3233 indicates that this gram negative bacterial hypothetical protein resembles the beta-barrel translocation unit of autotransporter Va secretory mechanism with a gene organisation that differs from the conventional Va system.