Barros-Rios, J. | Search bioRxiv

bioRxiv2025

Metabolic engineering of a tyrosine-specific phenylpropanoid pathway in plants

While all plants use L-phenylalanine for phenylpropanoid biosynthesis, grasses can also initiate the pathway from L-tyrosine. Curiously, no plant has evolved an exclusive tyrosine-derived route. We generate plants with phenylpropanoid biosynthesis initiated from phenylalanine, tyrosine, or both by expressing a Brachypodium phenylalanine/tyrosine ammonia-lyase (PTAL) in Arabidopsis WT and c4h mutants. Engineering a bifunctional phenylpropanoid pathway in WT plants did not negatively impact growth, while introducing a tyrosine-specific pathway in the c4h mutant could overcome the seedling-lethal phenotype. Interestingly, restored c4h mutants relying solely on the tyrosine route displayed developmental defects linked to the strong overaccumulation of the auxin transport inhibitor cis-cinnamic acid. Our findings suggest that the requirement of this widely overlooked plant metabolite could be the crucial factor for the evolutionary retention of the canonical phenylpropanoid biosynthesis route via L-phenylalanine in plants.

plant biology↗

bioRxiv2024

The Early Dodder Gets the Host: Decoding the Coiling Patterns of Cuscuta campestris with Automated Image Processing

Cuscuta spp., commonly known as dodders, are rootless and leafless stem parasitic plants. Upon germination, Cuscuta starts rotating immediately in a counterclockwise direction (circumnutation) to locate a host plant, creating a seamless vascular connection to steal water and nutrients from its host. In this study, our aim was to elucidate the dynamics of the coiling patterns of Cuscuta, which is an essential step for successful parasitism. Using time-lapse photography, we recorded the circumnutation and coiling movements of C. campestris at different inoculation times on non- living hosts. Subsequent image analyses were facilitated through an in-house Python-based image processing pipeline to detect coiling locations, angles, initiation and completion times, and duration of coiling stages in between. The study revealed that the coiling efficacy of C. campestris varied with the inoculation time of day, showing higher success and fastinitiation in morning than in evening. These observations suggest that Cuscuta, despite lacking leaves and a developed chloroplast, can discern photoperiod changes, significantly determining its parasitic efficiency. The automated image analysis results confirmed the reliability of our Python pipeline by aligning closely with manual annotations. This study provides significant insights into the parasitic strategies of C. campestris and demonstrates the potential of integrating computational image analysis in plant biology for exploring complex plant behaviors. Furthermore, this method provides an efficient tool for investigating plant movement dynamics, laying the foundation for future studies on mitigating the economic impacts of parasitic plants.

plant biology↗