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De Batte, F.

Publications and source records attributed to De Batte, F..

2 recordsLinked to original sources

The minimal cell-cycle control system in Marchantia as a framework for understanding plant cell proliferation

The regulation of cell division is broadly conserved across eukaryotes, governed by cyclins and cyclin-dependent kinases (CDKs) to coordinate progression through the cell cycle. Plants have evolved a complex set of cell-cycle genes with unique features. The high number of cyclin-CDK pairs in flowering plants complicates functional studies due to redundancy and diversification. It is critical to study simple systems in other plant lineages to better understand the functional integration of the cell-cycle control machinery and its evolution across land plants. Through a comprehensive phylogenetic analysis, we show that non-seed plants possess a simple repertoire of cyclin and CDK proteins, suggesting that the observed complexity in seed plants is a derived trait. The liverwort Marchantia polymorpha possesses a streamlined set of core cell cycle genes with minimal redundancy during vegetative development. Using single-cell RNA-seq and fluorescent reporters, we found a precise, phase-specific expression pattern for cell cycle genes. We demonstrated in vivo that only three cyclins are active, one at a given phase, without redundancy. Functional analyses revealed that MpCYCD;1 promotes cell cycle re-entry and disrupts differentiation, while overexpression of MpCYCA or MpCYCB;1 arrests the cell cycle, consistent with their respective roles at G1, S, and G2/M progression. Our findings highlight the functional conservation of mechanisms for cell-cycle control across eukaryotes and provide insights into its ancestral state, revealing a minimal set of functional components required for multicellular development. This study advances our understanding of fundamental aspects of cell-cycle regulation and opens new possibilities for engineering plant growth.

plant biology↗

A low-cost and open-source solution to automate imaging and analysis of cyst nematode infection assays for Arabidopsis thaliana

BackgroundCyst nematodes are one of the major groups of plant-parasitic nematode, responsible for considerable crop losses worldwide. Improving genetic resources, and therefore resistant cultivars, is an ongoing focus of many pest management strategies. One of the major bottlenecks in identifying the plant genes that impact the infection, and thus the yield, is phenotyping. The current available screening method is slow, has unidimensional quantification of infection limiting the range of scorable parameters, and does not account for phenotypic variation of the host. The ever-evolving field of computer vision may be the solution for both the above-mentioned issues. To utilise these tools, a specialised imaging platform is required to take consistent images of nematode infection in quick succession. ResultsHere, we describe an open-source, easy to adopt, imaging hardware and trait analysis software method based on a pre-existing nematode infection screening method in axenic culture. A cost-effective, easy-to-build and -use, 3D-printed imaging device was developed to acquire images of the root system of Arabidopsis thaliana infected with the cyst nematode Heterodera schachtii, replacing costly microscopy equipment. Coupling the output of this device to simple analysis scripts allowed the measurement of some key traits such as nematode number and size from collected images, in a semi-automated manner. Additionally, we used this combined solution to quantify an additional trait, root area before infection, and showed both the confounding relationship of this trait on nematode infection and a method to account for it. ConclusionTaken together, this manuscript provides a low-cost and open-source method for nematode phenotyping that includes the biologically relevant nematode size as a scorable parameter, and a method to account for phenotypic variation of the host. Together these tools highlight great potential in aiding our understanding of nematode parasitism.

plant biology↗