bioRxivPlant BiologyPreprint
A cross-kingdom interactome predicted by AlphaFold3 reveals a DNF2-centered interface required for symbiotic accommodation
Jin‐Peng GaoiD, Feiyang ZhaoiD, Guofeng ZhangiD, Qingchao CheniD, Song WuiD, Junfan Huang, Chun Liu, Guoliang WangiD, Peng YuiD, Sebastian Eves‐van den AkkeriD, Chang Fu TianiD, Thomas OttiD, Jeremy D. MurrayiD, Giles E. D. OldroydiD, Pengbo LiangiD, Chongjing XiaiD
Abstract
Legumes convert atmospheric nitrogen into ammonium through symbiotic bacteria housed in root nodules, yet the molecular interactions between rhizobial and host proteins inside nodules remain poorly understood. Here we employed AlphaFold3 to construct a cross-kingdom interactome between Medicago truncatula and its symbiont Sinorhizobium meliloti. Screening more than 217,000 protein pairs yielded 7,137 putative interactions, providing a valuable resource for the broader symbiosis community. Within this network, we focused on DEFECTIVE IN NITROGEN FIXATION 2 (DNF2), a host protein required for rhizobial persistence within nodules. We showed that DNF2 localizes to the peribacteroid space and associates with previously uncharacterized secreted rhizobial proteins (SRPs), suggesting it may function as a hub for host-symbiont communication. Notably, knockout of two DNF2-interacting proteins, SRP86 and SRP485, results in white, nitrogen-fixation-deficient nodules with abnormal symbiosomes and elevated expression of senescence-associated genes, closely phenocopying the dnf2 loss-of-function mutant. Together, our findings define a DNF2-SRP molecular framework underlying symbiotic accommodation, and illustrate the potential of AI-guided interactome mapping to uncover molecular mechanisms of plant-microbe interactions with relevance to sustainable agriculture.
- organism: plant (other)
- organism: bacteria (other)
- assay: protein structure
- research focus: protein structure prediction
- research focus: cell-cell communication
- research focus: gene regulatory network inference
- approach: deep learning
- approach: experimental assay
- Citations
- 0
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