Abstract Reverse genetics, facilitated by CRISPR technologies and comprehensive sequence-indexed insertion mutant collections, has advanced the identification of plants genes essential for arbuscular mycorrhizal (AM) symbiosis. However, a mutant phenotype alone is generally insufficient to reveal the specific role of the protein in AM symbiosis and in many cases, identifying interacting partner proteins is useful. To enable identification of protein:protein interactions during AM symbiosis, we established aMedicago truncatula -Diversispora epigaeayeast-two-hybrid (Y2H) library which, through Y2H-seq screening, can provide a rank-ordered list of candidate interactors of a protein of interest. We also developed a vector system to facilitate bimolecular fluorescence complementation assays (BIFC) in mycorrhizal roots so that protein interactions can be assessed in their native cell types and sub-cellular locations. We demonstrate the utility of a Y2H-seq screen coupled with BIFC in mycorrhizal roots, with a search for proteins that interact with CYCLIN DEPENDENT LIKE KINASE 2 (CKL2), a kinase essential for AM symbiosis. The Y2H-seq screen identified three 14-3-3 proteins as the highest ranked CKL2 interacting proteins. BIFC assays in mycorrhizal roots provided evidence for a CKL2:14-3-3 interaction at the periarbuscular membrane (PAM) in colonized root cells. Down-regulation of 14-3-3 by RNA interference provides initial evidence for a function in AM symbiosis. Thus, CKL2 may utilize 14-3-3 proteins to direct signaling from the PAM. The Y2H and BIFC resources will accelerate understanding of protein functions during AM symbiosis. 
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                            Spatial co-transcriptomics reveals discrete stages of the arbuscular mycorrhizal symbiosis
                        
                    
    
            Abstract The symbiotic interaction of plants with arbuscular mycorrhizal (AM) fungi is ancient and widespread. Plants provide AM fungi with carbon in exchange for nutrients and water, making this interaction a prime target for crop improvement. However, plant–fungal interactions are restricted to a small subset of root cells, precluding the application of most conventional functional genomic techniques to study the molecular bases of these interactions. Here we used single-nucleus and spatial RNA sequencing to explore bothMedicago truncatulaandRhizophagus irregularistranscriptomes in AM symbiosis at cellular and spatial resolution. Integrated, spatially registered single-cell maps revealed infected and uninfected plant root cell types. We observed that cortex cells exhibit distinct transcriptome profiles during different stages of colonization by AM fungi, indicating dynamic interplay between both organisms during establishment of the cellular interface enabling successful symbiosis. Our study provides insight into a symbiotic relationship of major agricultural and environmental importance and demonstrates a paradigm combining single-cell and spatial transcriptomics for the analysis of complex organismal interactions. 
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                            - Award ID(s):
- 2420360
- PAR ID:
- 10501903
- Publisher / Repository:
- Nature Plants
- Date Published:
- Journal Name:
- Nature Plants
- Volume:
- 10
- Issue:
- 4
- ISSN:
- 2055-0278
- Page Range / eLocation ID:
- 673 to 688
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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