Biology subjects

Jo, L.

Publications and source records attributed to Jo, L..

3 recordsLinked to original sources

bioRxiv2024

Transcription factors SlMYB41, SlMYB92 and SlWRKY71 regulate gene expression in tomato exodermis

Root barrier cell types, like the endodermis and exodermis, are crucial for plant acclimation to environmental stresses. Deposition of suberin, a hydrophobic polymer, in these cell layers restricts the movement of molecules and plays a vital role in stress responses. This study investigates the role of SlMYB41, SlMYB92 and SlWRKY71 transcription factors (TFs) in regulating suberin biosynthesis in the tomato (Solanum lycopersicum) root exodermis by genetic perturbation. Genetic perturbation of these TFs altered exodermal suberin deposition patterns, indicating the SlMYBs as positive and SlWRKY71 negative regulators of suberization. RNA sequencing revealed a significant overlap between differentially expressed genes regulated by these TFs, suggesting a shared regulatory network. Gene set enrichment analyses highlighted their role in lipid and suberin biosynthesis as well as overrepresentation of exodermis-enriched transcripts. Furthermore, transactivation assays demonstrated that these two MYBs promote the expression of suberin-related genes, while SlWRKY71 represses them. These results indicate a complex antagonistic relationship, advancing our understanding of the regulatory mechanisms controlling exodermis suberization in tomato roots. HighlightMYB and WRKY transcription factors collaboratively regulate suberin biosynthesis in the tomato root exodermis. Antagonistic interactions may fine-tune suberization or act as a break to stop overaccumulation.

plant biology↗

bioRxiv2024

Genome-Wide Profiling of Soybean WRINKLED1 Transcription Factor Binding Sites Provides Insight into the Regulation of Fatty Acid and Triacylglycerol Biosynthesis Program in Seeds

Understanding the regulatory mechanisms controlling storage lipid accumulation will inform strategies to enhance seed oil quality and quantity in crop plants. The WRINKLED1 transcription factor (WRI1 TF) is a central regulator of lipid biosynthesis. We characterized the genome-wide binding profile of soybean (Gm)WRI1 and show that the TF directly regulates genes encoding numerous enzymes and proteins in the fatty acid and triacylglycerol biosynthetic pathways. GmWRI1 binds primarily to regions downstream of target gene transcription start sites. We showed that GmWRI1 bound regions are enriched for the canonical WRI1 DNA binding element, the AW Box (CNTNGNNNNNNNCG), and another DNA motif, the CNC Box (CNCCNCC). Functional assays showed that both DNA elements mediate transcriptional activation by GmWRI1. We also show that GmWRI1 works in concert with other TFs to establish a regulatory state that promotes fatty acid and triacylglycerol biosynthesis. In particular, comparison of genes targeted directly by GmWRI1 and by GmLEC1, a central regulator of the maturation phase of seed development, reveals that the two TFs act in a positive feedback subcircuit to control fatty acid and triacylglycerol biosynthesis. Together, our results provide new insights into the genetic circuitry in which GmWRI1 participates to regulate storage lipid accumulation during seed development. Significance StatementWe report the genome-wide profiling of DNA sequences bound by and the genes directly- regulated by soybean WRINKLED1, a central regulator of storage lipid accumulation in oilseed plants. The information offers new insights into the mechanisms by which WRINKLED1 regulates genes encoding lipid biosynthetic enzymes and establishes a regulatory environment that promotes oil accumulation, and it may aid in the design of strategy to alter storage lipid accumulation in oilseeds.

plant biology↗

bioRxiv2023

ggPlantmap: an R package for creation of informative and quantitative ggplot maps derived from plant images.

As plant research generates an ever-growing volume of spatial quantitative data, the need for decentralized and user-friendly visualization tools to explore large and complex datasets tools becomes crucial. Existing resources, such as the Plant eFP (electronic Fluorescent Pictograph) browsers, have played a pivotal role on the communication of gene expression data across many plant species. However, although widely used by the plant research community, the Plant eFP browser lacks open and user-friendly tools for the creation of customized expression maps independently. Plant biologists with less coding experience can often encounter challenges when attempting to explore ways to communicate their own spatial quantitative data. We present ggPlantmap an open-source R package designed to address this challenge by providing an easy and user-friendly method for the creation of ggplot representative maps from plant images. ggPlantmap is built in R, one of the most used languages in biology to empower plant scientists to create and customize eFP-like browsers tailored to their experimental data. Here, we provide an overview of the package and tutorials that are accessible even to users with minimal R programming experience. We hope that ggPlantmap can assist the plant science community, fostering innovation and improving our understanding of plant development and function. HighlightggPlantmap, a new addition to the plant data visualization toolbox, allows users to create graphical maps from plant images for the representation of spatial quantitative data in R.

plant biology↗